From feb729fe8b7a1649c7a634793e52b5818a4ca990 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Mon, 15 Jul 2024 22:26:28 +0200 Subject: [PATCH 01/19] feat(aggregation-api): add new endpoints for `economy/mc-all` aggregation --- .../study/business/aggregator_management.py | 127 ++++++++++++++-- antarest/study/service.py | 46 ++++-- antarest/study/web/raw_studies_blueprint.py | 139 +++++++++++++++++- .../test_aggregate_raw_data.py | 16 +- 4 files changed, 294 insertions(+), 34 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index 57a2cce48e..db6c104f57 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -14,8 +14,10 @@ ) from antarest.study.storage.rawstudy.model.filesystem.matrix.matrix import MatrixFrequency -TEMPLATE_PARTS = "output/{sim_id}/economy/mc-ind" -"""Template for the path to reach the output data.""" +MC_IND_TEMPLATE_PARTS = "output/{sim_id}/economy/mc-ind" +"""Template for the path to reach the output data in economy/mc-ind.""" +MC_ALL_TEMPLATE_PARTS = "output/{sim_id}/economy/mc-all" +"""Template for the path to reach the output data in economy/mc-all.""" HORIZON_TEMPLATE = "output/{sim_id}/about-the-study/parameters.ini" # noinspection SpellCheckingInspection MCYEAR_COL = "mcYear" @@ -30,8 +32,10 @@ """Column name for the timestamp.""" MC_YEAR_INDEX = 0 """Index in path parts starting from the Monte Carlo year to determine the Monte Carlo year.""" -AREA_OR_LINK_INDEX = 2 +AREA_OR_LINK_INDEX__IND = 2 """Index in path parts starting from the Monte Carlo year to determine the area/link name.""" +AREA_OR_LINK_INDEX__ALL = 1 +"""Index in path parts starting from the `economy/mc-all` to determine the area/link name.""" logger = logging.getLogger(__name__) @@ -61,19 +65,20 @@ def __init__( output_id: str, query_file: t.Union[AreasQueryFile, LinksQueryFile], frequency: MatrixFrequency, - mc_years: t.Sequence[int], - columns_names: t.Sequence[str], ids_to_consider: t.Sequence[str], + columns_names: t.Sequence[str], + mc_years: t.Optional[t.Sequence[int]] = None, ): self.study_path: Path = study_path self.output_id: str = output_id self.query_file: t.Union[AreasQueryFile, LinksQueryFile] = query_file self.frequency: MatrixFrequency = frequency - self.mc_years: t.Sequence[int] = mc_years + self.mc_years: t.Optional[t.Sequence[int]] = mc_years self.columns_names: t.Sequence[str] = columns_names self.ids_to_consider: t.Sequence[str] = ids_to_consider self.output_type = "areas" if isinstance(query_file, AreasQueryFile) else "links" - self.mc_ind_path = self.study_path / TEMPLATE_PARTS.format(sim_id=self.output_id) + self.mc_ind_path = self.study_path / MC_IND_TEMPLATE_PARTS.format(sim_id=self.output_id) + self.mc_all_path = self.study_path / MC_ALL_TEMPLATE_PARTS.format(sim_id=self.output_id) def _parse_output_file(self, file_path: Path) -> pd.DataFrame: csv_file = pd.read_csv( @@ -112,7 +117,7 @@ def _filter_ids(self, folder_path: Path) -> t.List[str]: return [link for link in links_ids if link in self.ids_to_consider] return links_ids - def _gather_all_files_to_consider(self) -> t.Sequence[Path]: + def _gather_all_files_to_consider__ind(self) -> t.Sequence[Path]: # Monte Carlo years filtering all_mc_years = [d.name for d in self.mc_ind_path.iterdir()] if self.mc_years: @@ -144,7 +149,32 @@ def _gather_all_files_to_consider(self) -> t.Sequence[Path]: ] return all_output_files - def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: + def _gather_all_files_to_consider__all(self) -> t.Sequence[Path]: + # Monte Carlo years filtering + all_mc_years = [d.name for d in self.mc_all_path.iterdir()] + if not all_mc_years: + return [] + + # Links / Areas ids filtering + areas_or_links_ids = self._filter_ids(self.mc_all_path / self.output_type) + + # Frequency and query file filtering + folders_to_check = [self.mc_all_path / self.output_type / id for id in areas_or_links_ids] + filtered_files: t.Dict[str, t.MutableSequence[str]] = {} + for folder_path in folders_to_check: + for file in folder_path.iterdir(): + if file.stem == f"{self.query_file.value}-{self.frequency}": + filtered_files.setdefault(folder_path.name, []).append(file.name) + + # Loop to return the whole list of files + all_output_files = [ + self.mc_all_path / self.output_type / area_or_link / file + for area_or_link, files in filtered_files.items() + for file in files + ] + return all_output_files + + def _build_dataframe__ind(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: final_df = pd.DataFrame() nb_files = len(files) for k, file_path in enumerate(files): @@ -171,7 +201,7 @@ def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFram relative_path_parts = file_path.relative_to(self.mc_ind_path).parts column_name = AREA_COL if self.output_type == "areas" else LINK_COL new_column_order = [column_name, MCYEAR_COL, TIME_ID_COL, TIME_COL] + list_of_df_columns - df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX] + df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__IND] # add column to record the Monte Carlo year df[MCYEAR_COL] = int(relative_path_parts[MC_YEAR_INDEX]) @@ -191,11 +221,58 @@ def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFram return final_df + def _build_dataframe__all(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: + final_df = pd.DataFrame() + nb_files = len(files) + for k, file_path in enumerate(files): + df = self._parse_output_file(file_path) + + # columns filtering + if self.columns_names: + filtered_columns = [c for c in df.columns.tolist() if c in self.columns_names] + df = df.loc[:, filtered_columns] + + # if no columns, no need to continue + list_of_df_columns = df.columns.tolist() + if not list_of_df_columns: + return pd.DataFrame() + + # checks if the estimated dataframe size does not exceed the limit + # This check is performed on 10 aggregated files to have a more accurate view of the final df. + if k == 10: + # The following formula is the more accurate one compared to the final csv file. + estimated_binary_size = final_df.memory_usage().sum() + _checks_estimated_size(nb_files, estimated_binary_size, k) + + # add column for links/areas + relative_path_parts = file_path.relative_to(self.mc_all_path).parts + column_name = AREA_COL if self.output_type == "areas" else LINK_COL + new_column_order = [column_name, TIME_ID_COL, TIME_COL] + list_of_df_columns + df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__ALL] + + # add a column for the time id + df[TIME_ID_COL] = list(range(1, len(df) + 1)) + # add horizon column + df[TIME_COL] = horizon + + # Reorganize the columns + df = df.reindex(columns=new_column_order) + + final_df = pd.concat([final_df, df], ignore_index=True) + + # replace np.nan by None + final_df = final_df.replace({np.nan: None}) + + return final_df + def aggregate_output_data(self) -> pd.DataFrame: """ Aggregates the output data of a study and returns it as a DataFrame """ + # check that the `mc_years` is Sequence[int] + assert self.mc_years is not None, "mc_years should be a `Sequence` of integers" + # Checks if mc-ind results exist if not self.mc_ind_path.exists(): raise OutputNotFound(self.output_id) @@ -206,13 +283,39 @@ def aggregate_output_data(self) -> pd.DataFrame: horizon = launching_config.get("general", {}).get("horizon", 2018) # filters files to consider - all_output_files = sorted(self._gather_all_files_to_consider()) + all_output_files = sorted(self._gather_all_files_to_consider__ind()) + + logger.info( + f"Parsing {len(all_output_files)} {self.frequency.value} files" + f"to build the aggregated output for study `{self.study_path.name}`" + ) + # builds final dataframe + final_df = self._build_dataframe__ind(all_output_files, horizon) + + return final_df + + def aggregate_output_data__all(self) -> pd.DataFrame: + """ + Aggregates the output data of a study and returns it as a DataFrame + """ + + # Checks if mc-all results exist + if not self.mc_all_path.exists(): + raise OutputNotFound(self.output_id) + + # Retrieves the horizon from the study output + horizon_path = self.study_path / HORIZON_TEMPLATE.format(sim_id=self.output_id) + launching_config = IniReader().read(horizon_path) + horizon = launching_config.get("general", {}).get("horizon", 2018) + + # filters files to consider + all_output_files = sorted(self._gather_all_files_to_consider__all()) logger.info( f"Parsing {len(all_output_files)} {self.frequency.value} files" f"to build the aggregated output for study `{self.study_path.name}`" ) # builds final dataframe - final_df = self._build_dataframe(all_output_files, horizon) + final_df = self._build_dataframe__all(all_output_files, horizon) return final_df diff --git a/antarest/study/service.py b/antarest/study/service.py index 1143b3a309..b2aa770dba 100644 --- a/antarest/study/service.py +++ b/antarest/study/service.py @@ -380,7 +380,7 @@ def aggregate_output_data( params: RequestParameters, ) -> pd.DataFrame: """ - Aggregates output data based on several filtering conditions + Aggregates output data (in `economy/mc-ind`) based on several filtering conditions Args: uuid: study uuid output_id: simulation output ID @@ -398,18 +398,44 @@ def aggregate_output_data( assert_permission(params.user, study, StudyPermissionType.READ) study_path = self.storage_service.raw_study_service.get_study_path(study) # fmt: off - aggregator_manager = AggregatorManager( - study_path, - output_id, - query_file, - frequency, - mc_years, - columns_names, - ids_to_consider - ) + aggregator_manager = AggregatorManager(study_path, output_id, query_file, frequency, ids_to_consider, + columns_names, mc_years) # fmt: on return aggregator_manager.aggregate_output_data() + def aggregate_output_data__all( + self, + uuid: str, + output_id: str, + query_file: t.Union[AreasQueryFile, LinksQueryFile], + frequency: MatrixFrequency, + columns_names: t.Sequence[str], + ids_to_consider: t.Sequence[str], + params: RequestParameters, + ) -> pd.DataFrame: + """ + Aggregates output data (in `economy/mc-all`) based on several filtering conditions + Args: + uuid: study uuid + output_id: simulation output ID + query_file: which types of data to retrieve ("values", "details", "details-st-storage", "details-res") + frequency: yearly, monthly, weekly, daily or hourly. + columns_names: columns to be selected, if empty, all columns are selected + ids_to_consider: list of areas or links ids to consider, if empty, all areas are selected + params: request parameters + + Returns: the aggregated data as a DataFrame + + """ + study = self.get_study(uuid) + assert_permission(params.user, study, StudyPermissionType.READ) + study_path = self.storage_service.raw_study_service.get_study_path(study) + # fmt: off + aggregator_manager = AggregatorManager(study_path, output_id, query_file, frequency, ids_to_consider, + columns_names) + # fmt: on + return aggregator_manager.aggregate_output_data__all() + def get_logs( self, study_id: str, diff --git a/antarest/study/web/raw_studies_blueprint.py b/antarest/study/web/raw_studies_blueprint.py index 93c2f018dc..e0e7cad2fd 100644 --- a/antarest/study/web/raw_studies_blueprint.py +++ b/antarest/study/web/raw_studies_blueprint.py @@ -175,9 +175,9 @@ def get_study( return Response(content=json_response, media_type="application/json") @bp.get( - "/studies/{uuid}/areas/aggregate/{output_id}", + "/studies/{uuid}/areas/aggregate/mc-ind/{output_id}", tags=[APITag.study_raw_data], - summary="Retrieve Aggregated Areas Raw Data from Study Output", + summary="Retrieve Aggregated Areas Raw Data from Study Economy MCs individual Outputs", ) def aggregate_areas_raw_data( uuid: str, @@ -244,9 +244,9 @@ def aggregate_areas_raw_data( ) @bp.get( - "/studies/{uuid}/links/aggregate/{output_id}", + "/studies/{uuid}/links/aggregate/mc-ind/{output_id}", tags=[APITag.study_raw_data], - summary="Retrieve Aggregated Links Raw Data from Study Output", + summary="Retrieve Aggregated Links Raw Data from Study Economy MCs individual Outputs", ) def aggregate_links_raw_data( uuid: str, @@ -311,6 +311,137 @@ def aggregate_links_raw_data( current_user, ) + @bp.get( + "/studies/{uuid}/areas/aggregate/mc-all/{output_id}", + tags=[APITag.study_raw_data], + summary="Retrieve Aggregated Areas Raw Data from Study Economy MCs All Outputs", + ) + def aggregate_areas_raw_data__all( + uuid: str, + output_id: str, + query_file: AreasQueryFile, + frequency: MatrixFrequency, + areas_ids: str = "", + columns_names: str = "", + export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore + current_user: JWTUser = Depends(auth.get_current_user), + ) -> FileResponse: + # noinspection SpellCheckingInspection + """ + Create an aggregation of areas raw data in mc-all + + Parameters: + - `uuid`: study ID + - `output_id`: the output ID aka the simulation ID + - `query_file`: "values", "details", "details-STstorage", "details-res" + - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" + - `areas_ids`: which areas to be selected. If empty, all are selected (comma separated) + - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) + - `export_format`: Returned file format (csv by default). + + Returns: + FileResponse that corresponds to a dataframe with the aggregated areas raw data + """ + logger.info( + f"Aggregating areas output data for study {uuid}, output {output_id}," + f"from files '{query_file}-{frequency}.txt'", + extra={"user": current_user.id}, + ) + + # Avoid vulnerabilities by sanitizing the `uuid` and `output_id` parameters + uuid = sanitize_uuid(uuid) + output_id = sanitize_uuid(output_id) + + parameters = RequestParameters(user=current_user) + df_matrix = study_service.aggregate_output_data__all( + uuid, + output_id=output_id, + query_file=query_file, + frequency=frequency, + columns_names=_split_comma_separated_values(columns_names), + ids_to_consider=_split_comma_separated_values(areas_ids), + params=parameters, + ) + + download_name = f"aggregated_output_{uuid}_{output_id}{export_format.suffix}" + download_log = f"Exporting aggregated output data for study '{uuid}' as {export_format} file" + + return export_file( + df_matrix, + study_service.file_transfer_manager, + export_format, + True, + True, + download_name, + download_log, + current_user, + ) + + @bp.get( + "/studies/{uuid}/links/aggregate/mc-all/{output_id}", + tags=[APITag.study_raw_data], + summary="Retrieve Aggregated Links Raw Data from Study Economy MC-All Outputs", + ) + def aggregate_links_raw_data__all( + uuid: str, + output_id: str, + query_file: LinksQueryFile, + frequency: MatrixFrequency, + links_ids: str = "", + columns_names: str = "", + export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore + current_user: JWTUser = Depends(auth.get_current_user), + ) -> FileResponse: + """ + Create an aggregation of links in mc-all + + Parameters: + - `uuid`: study ID + - `output_id`: the output ID aka the simulation ID + - `query_file`: "values" (currently the only available option) + - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" + - `links_ids`: which links to be selected (ex: "be - fr"). If empty, all are selected (comma separated) + - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) + - `export_format`: Returned file format (csv by default). + + Returns: + FileResponse that corresponds to a dataframe with the aggregated links raw data + """ + logger.info( + f"Aggregating links mc-all data for study {uuid}, output {output_id}," + f"from files '{query_file}-{frequency}.txt'", + extra={"user": current_user.id}, + ) + + # Avoid vulnerabilities by sanitizing the `uuid` and `output_id` parameters + uuid = sanitize_uuid(uuid) + output_id = sanitize_uuid(output_id) + + parameters = RequestParameters(user=current_user) + df_matrix = study_service.aggregate_output_data__all( + uuid, + output_id=output_id, + query_file=query_file, + frequency=frequency, + columns_names=_split_comma_separated_values(columns_names), + ids_to_consider=_split_comma_separated_values(links_ids), + params=parameters, + ) + + download_name = f"aggregated_output_{uuid}_{output_id}{export_format.suffix}" + download_log = f"Exporting aggregated output data for study '{uuid}' as {export_format} file" + + return export_file( + df_matrix, + study_service.file_transfer_manager, + export_format, + True, + True, + download_name, + download_log, + current_user, + ) + @bp.post( "/studies/{uuid}/raw", status_code=http.HTTPStatus.NO_CONTENT, diff --git a/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py b/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py index 1dd53fdfe2..489c5f6324 100644 --- a/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py +++ b/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py @@ -184,7 +184,7 @@ @pytest.mark.integration_test -class TestRawDataAggregation: +class TestRawDataAggregationMCInd: """ Check the aggregation of Raw Data from studies outputs """ @@ -202,7 +202,7 @@ def test_area_aggregation( for params, expected_result_filename in AREAS_REQUESTS: output_id = params.pop("output_id") - res = client.get(f"/v1/studies/{internal_study_id}/areas/aggregate/{output_id}", params=params) + res = client.get(f"/v1/studies/{internal_study_id}/areas/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 200, res.json() content = io.BytesIO(res.content) df = pd.read_csv(content, index_col=0, sep=",") @@ -231,7 +231,7 @@ def test_links_aggregation( for params, expected_result_filename in LINKS_REQUESTS: output_id = params.pop("output_id") - res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/{output_id}", params=params) + res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 200, res.json() content = io.BytesIO(res.content) df = pd.read_csv(content, index_col=0, sep=",") @@ -260,7 +260,7 @@ def test_different_formats( for params, expected_result_filename in SAME_REQUEST_DIFFERENT_FORMATS: output_id = params.pop("output_id") - res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/{output_id}", params=params) + res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 200, res.json() content = io.BytesIO(res.content) export_format = params["format"] @@ -291,7 +291,7 @@ def test_aggregation_with_incoherent_bodies( client.headers = {"Authorization": f"Bearer {user_access_token}"} for params in INCOHERENT_REQUESTS_BODIES: output_id = params.pop("output_id") - res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/{output_id}", params=params) + res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 200, res.json() content = io.BytesIO(res.content) df = pd.read_csv(content, index_col=0, sep=",") @@ -304,7 +304,7 @@ def test_wrongly_typed_request(self, client: TestClient, user_access_token: str, client.headers = {"Authorization": f"Bearer {user_access_token}"} for params in WRONGLY_TYPED_REQUESTS: output_id = params.pop("output_id") - res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/{output_id}", params=params) + res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 422 assert res.json()["exception"] == "RequestValidationError" @@ -316,7 +316,7 @@ def test_aggregation_with_wrong_output(self, client: TestClient, user_access_tok # test for areas res = client.get( - f"/v1/studies/{internal_study_id}/areas/aggregate/unknown_id", + f"/v1/studies/{internal_study_id}/areas/aggregate/mc-ind/unknown_id", params={ "query_file": AreasQueryFile.VALUES, "frequency": MatrixFrequency.HOURLY, @@ -328,7 +328,7 @@ def test_aggregation_with_wrong_output(self, client: TestClient, user_access_tok # test for links res = client.get( - f"/v1/studies/{internal_study_id}/links/aggregate/unknown_id", + f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/unknown_id", params={ "query_file": LinksQueryFile.VALUES, "frequency": MatrixFrequency.HOURLY, From 57964013e6c399b1050163a4689d02f97d01135e Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Tue, 16 Jul 2024 21:09:27 +0200 Subject: [PATCH 02/19] test(aggregation-api): add tests for the new `economy/mc-all` endpoints --- .../study/business/aggregator_management.py | 27 +- .../test-01-all.result.tsv | 15 + .../test-02-all.result.tsv | 2 + .../test-03-all.result.tsv | 15 + .../test-04-all.result.tsv | 15 + .../test-05-all.result.tsv | 3 + .../test_aggregate_raw_data.py | 342 +++++++++++++++++- 7 files changed, 402 insertions(+), 17 deletions(-) create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-01-all.result.tsv create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02-all.result.tsv create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-03-all.result.tsv create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-04-all.result.tsv create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-05-all.result.tsv diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index db6c104f57..d238207191 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -244,19 +244,32 @@ def _build_dataframe__all(self, files: t.Sequence[Path], horizon: int) -> pd.Dat estimated_binary_size = final_df.memory_usage().sum() _checks_estimated_size(nb_files, estimated_binary_size, k) + # first columns df + # first we include the time id column + first_columns_df = pd.DataFrame( + { + TIME_ID_COL: list(range(1, len(df) + 1)), + } + ) + # add column for links/areas relative_path_parts = file_path.relative_to(self.mc_all_path).parts column_name = AREA_COL if self.output_type == "areas" else LINK_COL - new_column_order = [column_name, TIME_ID_COL, TIME_COL] + list_of_df_columns - df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__ALL] + first_columns_df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__ALL] - # add a column for the time id - df[TIME_ID_COL] = list(range(1, len(df) + 1)) # add horizon column - df[TIME_COL] = horizon + first_columns_df[TIME_COL] = horizon - # Reorganize the columns - df = df.reindex(columns=new_column_order) + # reorder first columns + new_column_order = [column_name, TIME_ID_COL, TIME_COL] + first_columns_df = first_columns_df.reindex(columns=new_column_order) + + # reset index + # noinspection PyTypeChecker + first_columns_df.set_index(df.index, inplace=True) + + # merge first columns with the rest of the df + df = pd.merge(first_columns_df, df, left_index=True, right_index=True) final_df = pd.concat([final_df, df], ignore_index=True) diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-01-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-01-all.result.tsv new file mode 100644 index 0000000000..9c92ef96e8 --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-01-all.result.tsv @@ -0,0 +1,15 @@ +area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 MRG. PRICE MRG. PRICE.1 MRG. PRICE.2 MRG. PRICE.3 CO2 EMIS. BALANCE BALANCE.1 BALANCE.2 BALANCE.3 ROW BAL. PSP MISC. NDG LOAD LOAD.1 LOAD.2 LOAD.3 H. ROR H. ROR.1 H. ROR.2 H. ROR.3 WIND WIND.1 WIND.2 WIND.3 SOLAR SOLAR.1 SOLAR.2 SOLAR.3 NUCLEAR NUCLEAR.1 NUCLEAR.2 NUCLEAR.3 LIGNITE LIGNITE.1 LIGNITE.2 LIGNITE.3 COAL COAL.1 COAL.2 COAL.3 GAS GAS.1 GAS.2 GAS.3 OIL OIL.1 OIL.2 OIL.3 MIX. FUEL MIX. FUEL.1 MIX. FUEL.2 MIX. FUEL.3 MISC. DTG MISC. DTG.1 MISC. DTG.2 MISC. DTG.3 H. STOR H. STOR.1 H. STOR.2 H. STOR.3 H. PUMP H. PUMP.1 H. PUMP.2 H. PUMP.3 H. LEV H. LEV.1 H. LEV.2 H. LEV.3 H. INFL H. INFL.1 H. INFL.2 H. INFL.3 H. OVFL H. OVFL.1 H. OVFL.2 H. OVFL.3 H. VAL H. VAL.1 H. VAL.2 H. VAL.3 H. COST H. COST.1 H. COST.2 H. COST.3 UNSP. ENRG UNSP. ENRG.1 UNSP. ENRG.2 UNSP. ENRG.3 SPIL. ENRG SPIL. ENRG.1 SPIL. ENRG.2 SPIL. ENRG.3 LOLD LOLD.1 LOLD.2 LOLD.3 LOLP AVL DTG AVL DTG.1 AVL DTG.2 AVL DTG.3 DTG MRG DTG MRG.1 DTG MRG.2 DTG MRG.3 MAX MRG MAX MRG.1 MAX MRG.2 MAX MRG.3 NP COST NP COST.1 NP COST.2 NP COST.3 NODU NODU.1 NODU.2 NODU.3 +de 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 404400.0 0.0 404400.0 404400.0 404400.0 0.0 404400.0 404400.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 +de 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 346800.0 0.0 346800.0 346800.0 346800.0 0.0 346800.0 346800.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 +de 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 289200.0 0.0 289200.0 289200.0 289200.0 0.0 289200.0 289200.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 +de 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 231600.0 0.0 231600.0 231600.0 231600.0 0.0 231600.0 231600.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 +de 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 174000.0 0.0 174000.0 174000.0 174000.0 0.0 174000.0 174000.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 +de 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 116400.0 0.0 116400.0 116400.0 116400.0 0.0 116400.0 116400.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 +de 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 58800.0 0.0 58800.0 58800.0 58800.0 0.0 58800.0 58800.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 +es 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 404400.0 0.0 404400.0 404400.0 404400.0 0.0 404400.0 404400.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 +es 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 346800.0 0.0 346800.0 346800.0 346800.0 0.0 346800.0 346800.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 +es 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 289200.0 0.0 289200.0 289200.0 289200.0 0.0 289200.0 289200.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 +es 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 231600.0 0.0 231600.0 231600.0 231600.0 0.0 231600.0 231600.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 +es 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 174000.0 0.0 174000.0 174000.0 174000.0 0.0 174000.0 174000.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 +es 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 116400.0 0.0 116400.0 116400.0 116400.0 0.0 116400.0 116400.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 +es 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 58800.0 0.0 58800.0 58800.0 58800.0 0.0 58800.0 58800.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02-all.result.tsv new file mode 100644 index 0000000000..8c4b55cb4f --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02-all.result.tsv @@ -0,0 +1,2 @@ +area timeId time 01_SOLAR MWH EXP 02_WIND_ON MWH EXP 03_WIND_OFF MWH EXP 04_RES MWH EXP 05_NUCLEAR MWH EXP 06_COAL MWH EXP 07_GAS MWH EXP 08_NON-RES MWH EXP 09_HYDRO_PUMP MWH EXP 01_SOLAR NP COST - EURO EXP 02_WIND_ON NP COST - EURO EXP 03_WIND_OFF NP COST - EURO EXP 04_RES NP COST - EURO EXP 05_NUCLEAR NP COST - EURO EXP 06_COAL NP COST - EURO EXP 07_GAS NP COST - EURO EXP 08_NON-RES NP COST - EURO EXP 09_HYDRO_PUMP NP COST - EURO EXP 01_SOLAR NODU EXP 02_WIND_ON NODU EXP 03_WIND_OFF NODU EXP 04_RES NODU EXP 05_NUCLEAR NODU EXP 06_COAL NODU EXP 07_GAS NODU EXP 08_NON-RES NODU EXP 09_HYDRO_PUMP NODU EXP +de 1 2030 315000.0 275000.0 235000.0 195000.0 155000.0 115000.0 75000.0 35000.0 2800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 167.0 147.0 127.0 107.0 87.0 67.0 47.0 27.0 7.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-03-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-03-all.result.tsv new file mode 100644 index 0000000000..9c92ef96e8 --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-03-all.result.tsv @@ -0,0 +1,15 @@ +area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 MRG. PRICE MRG. PRICE.1 MRG. PRICE.2 MRG. PRICE.3 CO2 EMIS. BALANCE BALANCE.1 BALANCE.2 BALANCE.3 ROW BAL. PSP MISC. NDG LOAD LOAD.1 LOAD.2 LOAD.3 H. ROR H. ROR.1 H. ROR.2 H. ROR.3 WIND WIND.1 WIND.2 WIND.3 SOLAR SOLAR.1 SOLAR.2 SOLAR.3 NUCLEAR NUCLEAR.1 NUCLEAR.2 NUCLEAR.3 LIGNITE LIGNITE.1 LIGNITE.2 LIGNITE.3 COAL COAL.1 COAL.2 COAL.3 GAS GAS.1 GAS.2 GAS.3 OIL OIL.1 OIL.2 OIL.3 MIX. FUEL MIX. FUEL.1 MIX. FUEL.2 MIX. FUEL.3 MISC. DTG MISC. DTG.1 MISC. DTG.2 MISC. DTG.3 H. STOR H. STOR.1 H. STOR.2 H. STOR.3 H. PUMP H. PUMP.1 H. PUMP.2 H. PUMP.3 H. LEV H. LEV.1 H. LEV.2 H. LEV.3 H. INFL H. INFL.1 H. INFL.2 H. INFL.3 H. OVFL H. OVFL.1 H. OVFL.2 H. OVFL.3 H. VAL H. VAL.1 H. VAL.2 H. VAL.3 H. COST H. COST.1 H. COST.2 H. COST.3 UNSP. ENRG UNSP. ENRG.1 UNSP. ENRG.2 UNSP. ENRG.3 SPIL. ENRG SPIL. ENRG.1 SPIL. ENRG.2 SPIL. ENRG.3 LOLD LOLD.1 LOLD.2 LOLD.3 LOLP AVL DTG AVL DTG.1 AVL DTG.2 AVL DTG.3 DTG MRG DTG MRG.1 DTG MRG.2 DTG MRG.3 MAX MRG MAX MRG.1 MAX MRG.2 MAX MRG.3 NP COST NP COST.1 NP COST.2 NP COST.3 NODU NODU.1 NODU.2 NODU.3 +de 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 404400.0 0.0 404400.0 404400.0 404400.0 0.0 404400.0 404400.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 +de 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 346800.0 0.0 346800.0 346800.0 346800.0 0.0 346800.0 346800.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 +de 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 289200.0 0.0 289200.0 289200.0 289200.0 0.0 289200.0 289200.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 +de 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 231600.0 0.0 231600.0 231600.0 231600.0 0.0 231600.0 231600.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 +de 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 174000.0 0.0 174000.0 174000.0 174000.0 0.0 174000.0 174000.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 +de 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 116400.0 0.0 116400.0 116400.0 116400.0 0.0 116400.0 116400.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 +de 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 58800.0 0.0 58800.0 58800.0 58800.0 0.0 58800.0 58800.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 +es 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 404400.0 0.0 404400.0 404400.0 404400.0 0.0 404400.0 404400.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 +es 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 346800.0 0.0 346800.0 346800.0 346800.0 0.0 346800.0 346800.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 +es 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 289200.0 0.0 289200.0 289200.0 289200.0 0.0 289200.0 289200.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 +es 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 231600.0 0.0 231600.0 231600.0 231600.0 0.0 231600.0 231600.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 +es 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 174000.0 0.0 174000.0 174000.0 174000.0 0.0 174000.0 174000.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 +es 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 116400.0 0.0 116400.0 116400.0 116400.0 0.0 116400.0 116400.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 +es 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 58800.0 0.0 58800.0 58800.0 58800.0 0.0 58800.0 58800.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-04-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-04-all.result.tsv new file mode 100644 index 0000000000..9c92ef96e8 --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-04-all.result.tsv @@ -0,0 +1,15 @@ +area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 MRG. PRICE MRG. PRICE.1 MRG. PRICE.2 MRG. PRICE.3 CO2 EMIS. BALANCE BALANCE.1 BALANCE.2 BALANCE.3 ROW BAL. PSP MISC. NDG LOAD LOAD.1 LOAD.2 LOAD.3 H. ROR H. ROR.1 H. ROR.2 H. ROR.3 WIND WIND.1 WIND.2 WIND.3 SOLAR SOLAR.1 SOLAR.2 SOLAR.3 NUCLEAR NUCLEAR.1 NUCLEAR.2 NUCLEAR.3 LIGNITE LIGNITE.1 LIGNITE.2 LIGNITE.3 COAL COAL.1 COAL.2 COAL.3 GAS GAS.1 GAS.2 GAS.3 OIL OIL.1 OIL.2 OIL.3 MIX. FUEL MIX. FUEL.1 MIX. FUEL.2 MIX. FUEL.3 MISC. DTG MISC. DTG.1 MISC. DTG.2 MISC. DTG.3 H. STOR H. STOR.1 H. STOR.2 H. STOR.3 H. PUMP H. PUMP.1 H. PUMP.2 H. PUMP.3 H. LEV H. LEV.1 H. LEV.2 H. LEV.3 H. INFL H. INFL.1 H. INFL.2 H. INFL.3 H. OVFL H. OVFL.1 H. OVFL.2 H. OVFL.3 H. VAL H. VAL.1 H. VAL.2 H. VAL.3 H. COST H. COST.1 H. COST.2 H. COST.3 UNSP. ENRG UNSP. ENRG.1 UNSP. ENRG.2 UNSP. ENRG.3 SPIL. ENRG SPIL. ENRG.1 SPIL. ENRG.2 SPIL. ENRG.3 LOLD LOLD.1 LOLD.2 LOLD.3 LOLP AVL DTG AVL DTG.1 AVL DTG.2 AVL DTG.3 DTG MRG DTG MRG.1 DTG MRG.2 DTG MRG.3 MAX MRG MAX MRG.1 MAX MRG.2 MAX MRG.3 NP COST NP COST.1 NP COST.2 NP COST.3 NODU NODU.1 NODU.2 NODU.3 +de 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 404400.0 0.0 404400.0 404400.0 404400.0 0.0 404400.0 404400.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 +de 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 346800.0 0.0 346800.0 346800.0 346800.0 0.0 346800.0 346800.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 +de 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 289200.0 0.0 289200.0 289200.0 289200.0 0.0 289200.0 289200.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 +de 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 231600.0 0.0 231600.0 231600.0 231600.0 0.0 231600.0 231600.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 +de 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 174000.0 0.0 174000.0 174000.0 174000.0 0.0 174000.0 174000.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 +de 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 116400.0 0.0 116400.0 116400.0 116400.0 0.0 116400.0 116400.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 +de 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 58800.0 0.0 58800.0 58800.0 58800.0 0.0 58800.0 58800.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 +es 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 404400.0 0.0 404400.0 404400.0 404400.0 0.0 404400.0 404400.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 +es 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 346800.0 0.0 346800.0 346800.0 346800.0 0.0 346800.0 346800.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 +es 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 289200.0 0.0 289200.0 289200.0 289200.0 0.0 289200.0 289200.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 +es 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 200400.0 0.0 200400.0 200400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 231600.0 0.0 231600.0 231600.0 231600.0 0.0 231600.0 231600.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 +es 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 258000.0 0.0 258000.0 258000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 174000.0 0.0 174000.0 174000.0 174000.0 0.0 174000.0 174000.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 +es 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 315600.0 0.0 315600.0 315600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 116400.0 0.0 116400.0 116400.0 116400.0 0.0 116400.0 116400.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 +es 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 373200.0 0.0 373200.0 373200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 58800.0 0.0 58800.0 58800.0 58800.0 0.0 58800.0 58800.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-05-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-05-all.result.tsv new file mode 100644 index 0000000000..518b2487ef --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-05-all.result.tsv @@ -0,0 +1,3 @@ +area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 MRG. PRICE MRG. PRICE.1 MRG. PRICE.2 MRG. PRICE.3 CO2 EMIS. BALANCE BALANCE.1 BALANCE.2 BALANCE.3 ROW BAL. PSP MISC. NDG LOAD LOAD.1 LOAD.2 LOAD.3 H. ROR H. ROR.1 H. ROR.2 H. ROR.3 WIND WIND.1 WIND.2 WIND.3 SOLAR SOLAR.1 SOLAR.2 SOLAR.3 NUCLEAR NUCLEAR.1 NUCLEAR.2 NUCLEAR.3 LIGNITE LIGNITE.1 LIGNITE.2 LIGNITE.3 COAL COAL.1 COAL.2 COAL.3 GAS GAS.1 GAS.2 GAS.3 OIL OIL.1 OIL.2 OIL.3 MIX. FUEL MIX. FUEL.1 MIX. FUEL.2 MIX. FUEL.3 MISC. DTG MISC. DTG.1 MISC. DTG.2 MISC. DTG.3 H. STOR H. STOR.1 H. STOR.2 H. STOR.3 H. PUMP H. PUMP.1 H. PUMP.2 H. PUMP.3 H. LEV H. LEV.1 H. LEV.2 H. LEV.3 H. INFL H. INFL.1 H. INFL.2 H. INFL.3 H. OVFL H. OVFL.1 H. OVFL.2 H. OVFL.3 H. VAL H. VAL.1 H. VAL.2 H. VAL.3 H. COST H. COST.1 H. COST.2 H. COST.3 UNSP. ENRG UNSP. ENRG.1 UNSP. ENRG.2 UNSP. ENRG.3 SPIL. ENRG SPIL. ENRG.1 SPIL. ENRG.2 SPIL. ENRG.3 LOLD LOLD.1 LOLD.2 LOLD.3 LOLP AVL DTG AVL DTG.1 AVL DTG.2 AVL DTG.3 DTG MRG DTG MRG.1 DTG MRG.2 DTG MRG.3 MAX MRG MAX MRG.1 MAX MRG.2 MAX MRG.3 NP COST NP COST.1 NP COST.2 NP COST.3 NODU NODU.1 NODU.2 NODU.3 +de 1 2030 46452000.0 46452000.0 0.0 46452000.0 46452000.0 47.14 0.0 47.14 47.14 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1402800.0 0.0 1402800.0 1402800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1402800.0 0.0 1402800.0 1402800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 3024000.0 0.0 3024000.0 3024000.0 1621200.0 0.0 1621200.0 1621200.0 1621200.0 0.0 1621200.0 1621200.0 0.0 0.0 0.0 0.0 783.0 0.0 783.0 783.0 +es 1 2030 46452000.0 46452000.0 0.0 46452000.0 46452000.0 47.14 0.0 47.14 47.14 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1402800.0 0.0 1402800.0 1402800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1402800.0 0.0 1402800.0 1402800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 3024000.0 0.0 3024000.0 3024000.0 1621200.0 0.0 1621200.0 1621200.0 1621200.0 0.0 1621200.0 1621200.0 0.0 0.0 0.0 0.0 783.0 0.0 783.0 783.0 diff --git a/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py b/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py index 489c5f6324..882bdd0861 100644 --- a/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py +++ b/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py @@ -10,7 +10,8 @@ from antarest.study.storage.rawstudy.model.filesystem.matrix.matrix import MatrixFrequency from tests.integration.raw_studies_blueprint.assets import ASSETS_DIR -AREAS_REQUESTS = [ +# define the requests parameters for the `economy/mc-ind` outputs aggregation +AREAS_REQUESTS__IND = [ ( { "output_id": "20201014-1425eco-goodbye", @@ -68,7 +69,7 @@ ), ] -LINKS_REQUESTS = [ +LINKS_REQUESTS__IND = [ ( { "output_id": "20201014-1425eco-goodbye", @@ -111,7 +112,7 @@ ), ] -SAME_REQUEST_DIFFERENT_FORMATS = [ +SAME_REQUEST_DIFFERENT_FORMATS__IND = [ ( { "output_id": "20201014-1425eco-goodbye", @@ -142,7 +143,7 @@ ] -INCOHERENT_REQUESTS_BODIES = [ +INCOHERENT_REQUESTS_BODIES__IND = [ { "output_id": "20201014-1425eco-goodbye", "query_file": AreasQueryFile.VALUES, @@ -163,7 +164,7 @@ }, ] -WRONGLY_TYPED_REQUESTS = [ +WRONGLY_TYPED_REQUESTS__IND = [ { "output_id": "20201014-1425eco-goodbye", "query_file": "fake_query_file", @@ -182,6 +183,169 @@ }, ] +# define the requests parameters for the `economy/mc-all` outputs aggregation +AREAS_REQUESTS__ALL = [ + ( + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "areas_ids": "", + "columns_names": "", + }, + "test-01-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.DETAILS, + "frequency": MatrixFrequency.MONTHLY, + "areas_ids": "de,fr,it", + "columns_names": "", + }, + "test-02-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "areas_ids": "", + "columns_names": "", + }, + "test-03-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "areas_ids": "es,fr,de", + "columns_names": "", + }, + "test-04-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.VALUES, + "frequency": MatrixFrequency.MONTHLY, + "areas_ids": "", + "columns_names": "", + }, + "test-05-all.result.tsv", + ), +] + +LINKS_REQUESTS__ALL = [ + ( + { + "output_id": "20201014-1427eco", + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "columns_names": "", + }, + "test-01-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.MONTHLY, + "columns_names": "", + }, + "test-02-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "columns_names": "", + }, + "test-03-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.MONTHLY, + "links_ids": "de - fr", + }, + "test-04-all.result.tsv", + ), +] + +SAME_REQUEST_DIFFERENT_FORMATS__ALL = [ + ( + { + "output_id": "20201014-1427eco", + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "format": "csv", + }, + "test-01-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.MONTHLY, + "format": "tsv", + }, + "test-01-all.result.tsv", + ), + ( + { + "output_id": "20201014-1427eco", + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.MONTHLY, + "format": "xlsx", + }, + "test-01-all.result.tsv", + ), +] + + +INCOHERENT_REQUESTS_BODIES__ALL = [ + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + }, + { + "output_id": "20201014-1427eco", + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "columns_names": "fake_col", + }, + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.VALUES, + "frequency": MatrixFrequency.MONTHLY, + "links_ids": "fake_id", + }, +] + +WRONGLY_TYPED_REQUESTS__ALL = [ + { + "output_id": "20201014-1427eco", + "query_file": "fake_query_file", + "frequency": MatrixFrequency.MONTHLY, + }, + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.VALUES, + "frequency": "fake_frequency", + }, + { + "output_id": "20201014-1427eco", + "query_file": AreasQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "format": "fake_format", + }, +] + @pytest.mark.integration_test class TestRawDataAggregationMCInd: @@ -200,7 +364,7 @@ def test_area_aggregation( """ client.headers = {"Authorization": f"Bearer {user_access_token}"} - for params, expected_result_filename in AREAS_REQUESTS: + for params, expected_result_filename in AREAS_REQUESTS__IND: output_id = params.pop("output_id") res = client.get(f"/v1/studies/{internal_study_id}/areas/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 200, res.json() @@ -229,7 +393,7 @@ def test_links_aggregation( """ client.headers = {"Authorization": f"Bearer {user_access_token}"} - for params, expected_result_filename in LINKS_REQUESTS: + for params, expected_result_filename in LINKS_REQUESTS__IND: output_id = params.pop("output_id") res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 200, res.json() @@ -258,7 +422,7 @@ def test_different_formats( """ client.headers = {"Authorization": f"Bearer {user_access_token}"} - for params, expected_result_filename in SAME_REQUEST_DIFFERENT_FORMATS: + for params, expected_result_filename in SAME_REQUEST_DIFFERENT_FORMATS__IND: output_id = params.pop("output_id") res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 200, res.json() @@ -289,7 +453,7 @@ def test_aggregation_with_incoherent_bodies( Asserts that requests with incoherent bodies don't crash but send empty dataframes """ client.headers = {"Authorization": f"Bearer {user_access_token}"} - for params in INCOHERENT_REQUESTS_BODIES: + for params in INCOHERENT_REQUESTS_BODIES__IND: output_id = params.pop("output_id") res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 200, res.json() @@ -302,7 +466,7 @@ def test_wrongly_typed_request(self, client: TestClient, user_access_token: str, Asserts that wrongly typed requests send an HTTP 422 Exception """ client.headers = {"Authorization": f"Bearer {user_access_token}"} - for params in WRONGLY_TYPED_REQUESTS: + for params in WRONGLY_TYPED_REQUESTS__IND: output_id = params.pop("output_id") res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/{output_id}", params=params) assert res.status_code == 422 @@ -337,3 +501,161 @@ def test_aggregation_with_wrong_output(self, client: TestClient, user_access_tok assert res.status_code == 404, res.json() assert res.json()["exception"] == "OutputNotFound" assert "unknown_id" in res.json()["description"], "The output_id should be in the message" + + +@pytest.mark.integration_test +class TestRawDataAggregationMCAll: + """ + Check the aggregation of Raw Data from studies outputs in `economy/mc-all` + """ + + def test_area_aggregation( + self, + client: TestClient, + user_access_token: str, + internal_study_id: str, + ): + """ + Test the aggregation of areas data + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + + for params, expected_result_filename in AREAS_REQUESTS__ALL: + output_id = params.pop("output_id") + res = client.get(f"/v1/studies/{internal_study_id}/areas/aggregate/mc-all/{output_id}", params=params) + assert res.status_code == 200, res.json() + content = io.BytesIO(res.content) + df = pd.read_csv(content, index_col=0, sep=",") + resource_file = ASSETS_DIR.joinpath(f"aggregate_areas_raw_data/{expected_result_filename}") + resource_file.parent.mkdir(exist_ok=True, parents=True) + if not resource_file.exists(): + # create the resource to add it to non-regression tests + df.to_csv(resource_file, sep="\t", index=False) + expected_df = pd.read_csv(resource_file, sep="\t", header=0) + expected_df = expected_df.replace({np.nan: None}) + # cast types of expected_df to match df + for col in expected_df.columns: + expected_df[col] = expected_df[col].astype(df[col].dtype) + pd.testing.assert_frame_equal(df, expected_df) + + @pytest.mark.skip(reason="Links aggregation data for `economies/mc-all` is not available yet.") + def test_links_aggregation( + self, + client: TestClient, + user_access_token: str, + internal_study_id: str, + ): + """ + Test the aggregation of links data + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + + for params, expected_result_filename in LINKS_REQUESTS__ALL: + output_id = params.pop("output_id") + res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-all/{output_id}", params=params) + assert res.status_code == 200, res.json() + content = io.BytesIO(res.content) + df = pd.read_csv(content, index_col=0, sep=",") + resource_file = ASSETS_DIR.joinpath(f"aggregate_links_raw_data/{expected_result_filename}") + resource_file.parent.mkdir(exist_ok=True, parents=True) + if not resource_file.exists(): + # create the resource to add it to non-regression tests + df.to_csv(resource_file, sep="\t", index=False) + expected_df = pd.read_csv(resource_file, sep="\t", header=0) + expected_df = expected_df.replace({np.nan: None}) + # cast types of expected_df to match df + for col in expected_df.columns: + expected_df[col] = expected_df[col].astype(df[col].dtype) + pd.testing.assert_frame_equal(df, expected_df) + + @pytest.mark.skip(reason="Links aggregation data for `economies/mc-all` is not available yet.") + def test_different_formats( + self, + client: TestClient, + user_access_token: str, + internal_study_id: str, + ): + """ + Tests that all formats work and produce the same result + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + + for params, expected_result_filename in SAME_REQUEST_DIFFERENT_FORMATS__ALL: + output_id = params.pop("output_id") + res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-all/{output_id}", params=params) + assert res.status_code == 200, res.json() + content = io.BytesIO(res.content) + export_format = params["format"] + if export_format == TableExportFormat.CSV.value: + df = pd.read_csv(content, index_col=0, sep=",") + elif export_format == TableExportFormat.TSV.value: + df = pd.read_csv(content, index_col=0, sep="\t") + else: + df = pd.read_excel(content, index_col=0) # type: ignore + resource_file = ASSETS_DIR.joinpath(f"aggregate_links_raw_data/{expected_result_filename}") + resource_file.parent.mkdir(exist_ok=True, parents=True) + if not resource_file.exists(): + # create the resource to add it to non-regression tests + df.to_csv(resource_file, sep="\t", index=False) + expected_df = pd.read_csv(resource_file, sep="\t", header=0) + expected_df = expected_df.replace({np.nan: None}) + # cast types of expected_df to match df + for col in expected_df.columns: + expected_df[col] = expected_df[col].astype(df[col].dtype) + pd.testing.assert_frame_equal(df, expected_df) + + def test_aggregation_with_incoherent_bodies( + self, client: TestClient, user_access_token: str, internal_study_id: str + ): + """ + Asserts that requests with incoherent bodies don't crash but send empty dataframes + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + for params in INCOHERENT_REQUESTS_BODIES__ALL: + output_id = params.pop("output_id") + res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-all/{output_id}", params=params) + assert res.status_code == 200, res.json() + content = io.BytesIO(res.content) + df = pd.read_csv(content, index_col=0, sep=",") + assert df.empty + + def test_wrongly_typed_request(self, client: TestClient, user_access_token: str, internal_study_id: str): + """ + Asserts that wrongly typed requests send an HTTP 422 Exception + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + for params in WRONGLY_TYPED_REQUESTS__ALL: + output_id = params.pop("output_id") + res = client.get(f"/v1/studies/{internal_study_id}/links/aggregate/mc-all/{output_id}", params=params) + assert res.status_code == 422 + assert res.json()["exception"] == "RequestValidationError" + + def test_aggregation_with_wrong_output(self, client: TestClient, user_access_token: str, internal_study_id: str): + """ + Asserts that requests with wrong output send an HTTP 422 Exception + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + + # test for areas + res = client.get( + f"/v1/studies/{internal_study_id}/areas/aggregate/mc-all/unknown_id", + params={ + "query_file": AreasQueryFile.VALUES, + "frequency": MatrixFrequency.HOURLY, + }, + ) + assert res.status_code == 404, res.json() + assert res.json()["exception"] == "OutputNotFound" + assert "unknown_id" in res.json()["description"], "The output_id should be in the message" + + # test for links + res = client.get( + f"/v1/studies/{internal_study_id}/links/aggregate/mc-all/unknown_id", + params={ + "query_file": LinksQueryFile.VALUES, + "frequency": MatrixFrequency.HOURLY, + }, + ) + assert res.status_code == 404, res.json() + assert res.json()["exception"] == "OutputNotFound" + assert "unknown_id" in res.json()["description"], "The output_id should be in the message" From 82439d63c2ce7fc1d12af73e0770e40c3f3c29f0 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Wed, 31 Jul 2024 23:40:57 +0200 Subject: [PATCH 03/19] feat(aggregation-api): separate `mc-ind\all` query files enums --- .../study/business/aggregator_management.py | 36 +++++++++++++------ antarest/study/service.py | 12 +++++-- antarest/study/web/raw_studies_blueprint.py | 15 +++++--- 3 files changed, 44 insertions(+), 19 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index d238207191..ae059dcd5e 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -40,15 +40,28 @@ logger = logging.getLogger(__name__) -class AreasQueryFile(str, Enum): +class MCIndAreasQueryFile(str, Enum): VALUES = "values" DETAILS = "details" DETAILS_ST_STORAGE = "details-STstorage" DETAILS_RES = "details-res" -class LinksQueryFile(str, Enum): +class MCAllAreasQueryFile(str, Enum): VALUES = "values" + DETAILS = "details" + DETAILS_ST_STORAGE = "details-STstorage" + DETAILS_RES = "details-res" + ID = "id" + + +class MCIndLinksQueryFile(str, Enum): + VALUES = "values" + + +class MCAllLinksQueryFile(str, Enum): + VALUES = "values" + ID = "id" def _checks_estimated_size(nb_files: int, df_bytes_size: int, nb_files_checked: int) -> None: @@ -63,7 +76,7 @@ def __init__( self, study_path: Path, output_id: str, - query_file: t.Union[AreasQueryFile, LinksQueryFile], + query_file: t.Union[MCIndAreasQueryFile, MCAllAreasQueryFile, MCIndLinksQueryFile, MCAllLinksQueryFile], frequency: MatrixFrequency, ids_to_consider: t.Sequence[str], columns_names: t.Sequence[str], @@ -71,12 +84,18 @@ def __init__( ): self.study_path: Path = study_path self.output_id: str = output_id - self.query_file: t.Union[AreasQueryFile, LinksQueryFile] = query_file + self.query_file: t.Union[ + MCIndAreasQueryFile, MCAllAreasQueryFile, MCIndLinksQueryFile, MCAllLinksQueryFile + ] = query_file self.frequency: MatrixFrequency = frequency self.mc_years: t.Optional[t.Sequence[int]] = mc_years self.columns_names: t.Sequence[str] = columns_names self.ids_to_consider: t.Sequence[str] = ids_to_consider - self.output_type = "areas" if isinstance(query_file, AreasQueryFile) else "links" + self.output_type = ( + "areas" + if (isinstance(query_file, MCIndAreasQueryFile) or isinstance(query_file, MCAllAreasQueryFile)) + else "links" + ) self.mc_ind_path = self.study_path / MC_IND_TEMPLATE_PARTS.format(sim_id=self.output_id) self.mc_all_path = self.study_path / MC_ALL_TEMPLATE_PARTS.format(sim_id=self.output_id) @@ -96,7 +115,7 @@ def _parse_output_file(self, file_path: Path) -> pd.DataFrame: # normalize columns names new_cols = [] for col in body.columns: - name_to_consider = col[0] if self.query_file.value == AreasQueryFile.VALUES else " ".join(col) + name_to_consider = col[0] if self.query_file.value == MCIndAreasQueryFile.VALUES else " ".join(col) new_cols.append(name_to_consider.upper().strip()) df.index = date @@ -150,11 +169,6 @@ def _gather_all_files_to_consider__ind(self) -> t.Sequence[Path]: return all_output_files def _gather_all_files_to_consider__all(self) -> t.Sequence[Path]: - # Monte Carlo years filtering - all_mc_years = [d.name for d in self.mc_all_path.iterdir()] - if not all_mc_years: - return [] - # Links / Areas ids filtering areas_or_links_ids = self._filter_ids(self.mc_all_path / self.output_type) diff --git a/antarest/study/service.py b/antarest/study/service.py index b2aa770dba..0a407a806c 100644 --- a/antarest/study/service.py +++ b/antarest/study/service.py @@ -49,7 +49,13 @@ from antarest.matrixstore.matrix_editor import MatrixEditInstruction from antarest.study.business.adequacy_patch_management import AdequacyPatchManager from antarest.study.business.advanced_parameters_management import AdvancedParamsManager -from antarest.study.business.aggregator_management import AggregatorManager, AreasQueryFile, LinksQueryFile +from antarest.study.business.aggregator_management import ( + AggregatorManager, + MCAllAreasQueryFile, + MCAllLinksQueryFile, + MCIndAreasQueryFile, + MCIndLinksQueryFile, +) from antarest.study.business.allocation_management import AllocationManager from antarest.study.business.area_management import AreaCreationDTO, AreaInfoDTO, AreaManager, AreaType, UpdateAreaUi from antarest.study.business.areas.hydro_management import HydroManager @@ -372,7 +378,7 @@ def aggregate_output_data( self, uuid: str, output_id: str, - query_file: t.Union[AreasQueryFile, LinksQueryFile], + query_file: t.Union[MCIndAreasQueryFile, MCIndLinksQueryFile], frequency: MatrixFrequency, mc_years: t.Sequence[int], columns_names: t.Sequence[str], @@ -407,7 +413,7 @@ def aggregate_output_data__all( self, uuid: str, output_id: str, - query_file: t.Union[AreasQueryFile, LinksQueryFile], + query_file: t.Union[MCAllAreasQueryFile, MCAllLinksQueryFile], frequency: MatrixFrequency, columns_names: t.Sequence[str], ids_to_consider: t.Sequence[str], diff --git a/antarest/study/web/raw_studies_blueprint.py b/antarest/study/web/raw_studies_blueprint.py index e0e7cad2fd..b0e746ccff 100644 --- a/antarest/study/web/raw_studies_blueprint.py +++ b/antarest/study/web/raw_studies_blueprint.py @@ -18,7 +18,12 @@ from antarest.core.utils.utils import sanitize_string, sanitize_uuid from antarest.core.utils.web import APITag from antarest.login.auth import Auth -from antarest.study.business.aggregator_management import AreasQueryFile, LinksQueryFile +from antarest.study.business.aggregator_management import ( + MCAllAreasQueryFile, + MCAllLinksQueryFile, + MCIndAreasQueryFile, + MCIndLinksQueryFile, +) from antarest.study.service import StudyService from antarest.study.storage.df_download import TableExportFormat, export_file from antarest.study.storage.rawstudy.model.filesystem.matrix.matrix import MatrixFrequency @@ -182,7 +187,7 @@ def get_study( def aggregate_areas_raw_data( uuid: str, output_id: str, - query_file: AreasQueryFile, + query_file: MCIndAreasQueryFile, frequency: MatrixFrequency, mc_years: str = "", areas_ids: str = "", @@ -251,7 +256,7 @@ def aggregate_areas_raw_data( def aggregate_links_raw_data( uuid: str, output_id: str, - query_file: LinksQueryFile, + query_file: MCIndLinksQueryFile, frequency: MatrixFrequency, mc_years: str = "", links_ids: str = "", @@ -319,7 +324,7 @@ def aggregate_links_raw_data( def aggregate_areas_raw_data__all( uuid: str, output_id: str, - query_file: AreasQueryFile, + query_file: MCAllAreasQueryFile, frequency: MatrixFrequency, areas_ids: str = "", columns_names: str = "", @@ -385,7 +390,7 @@ def aggregate_areas_raw_data__all( def aggregate_links_raw_data__all( uuid: str, output_id: str, - query_file: LinksQueryFile, + query_file: MCAllLinksQueryFile, frequency: 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Date: Thu, 1 Aug 2024 17:00:14 +0200 Subject: [PATCH 06/19] test(aggregation-api): update unittests following appending extra outputs to `STA-mini` --- antarest/study/web/raw_studies_blueprint.py | 4 ++-- .../test_filesystem_endpoints.py | 10 +++++----- .../assets/test_synthesis/raw_study.synthesis.json | 12 ++++++++++++ .../integration/studies_blueprint/test_disk_usage.py | 4 ++-- tests/integration/test_integration.py | 10 +++++----- .../integration/test_integration_token_end_to_end.py | 4 ++-- 6 files changed, 28 insertions(+), 16 deletions(-) diff --git a/antarest/study/web/raw_studies_blueprint.py b/antarest/study/web/raw_studies_blueprint.py index b0e746ccff..c10354906c 100644 --- a/antarest/study/web/raw_studies_blueprint.py +++ b/antarest/study/web/raw_studies_blueprint.py @@ -355,7 +355,7 @@ def aggregate_areas_raw_data__all( # Avoid vulnerabilities by sanitizing the `uuid` and `output_id` parameters uuid = sanitize_uuid(uuid) - output_id = sanitize_uuid(output_id) + output_id = sanitize_string(output_id) parameters = RequestParameters(user=current_user) df_matrix = study_service.aggregate_output_data__all( @@ -420,7 +420,7 @@ def aggregate_links_raw_data__all( # Avoid vulnerabilities by sanitizing the `uuid` and `output_id` parameters uuid = sanitize_uuid(uuid) - output_id = sanitize_uuid(output_id) + output_id = sanitize_string(output_id) parameters = RequestParameters(user=current_user) df_matrix = study_service.aggregate_output_data__all( diff --git a/tests/integration/filesystem_blueprint/test_filesystem_endpoints.py b/tests/integration/filesystem_blueprint/test_filesystem_endpoints.py index a547313896..ba33b51d9f 100644 --- a/tests/integration/filesystem_blueprint/test_filesystem_endpoints.py +++ b/tests/integration/filesystem_blueprint/test_filesystem_endpoints.py @@ -256,8 +256,8 @@ def test_lifecycle( { "path": str(ext_workspace_path / "STA-mini"), "file_type": "directory", - "file_count": IntegerRange(900, 1000), # 918 - "size_bytes": IntegerRange(7_000_000, 9_000_000), # nt: 7_741_619, posix: 8_597_683 + "file_count": IntegerRange(1000, 1100), # 1043 + "size_bytes": IntegerRange(9_000_000, 11_000_000), # 10_428_620 "created": AnyIsoDateTime(), "accessed": AnyIsoDateTime(), "modified": AnyIsoDateTime(), @@ -415,7 +415,7 @@ def test_size_of_studies( sizes.append(actual[0]["size_bytes"]) # Check the sizes - # The size of the new study should be between 140 and 300 KB. - # The suze of 'STA-mini' should be between 7 and 9 MB. + # The size of the new study should be between 140 and 350 KB. + # The suze of 'STA-mini' should be between 9 and 11 MB. sizes.sort() - assert sizes == [IntegerRange(140_000, 300_000), IntegerRange(7_000_000, 9_000_000)] + assert sizes == [IntegerRange(140_000, 350_000), IntegerRange(9_000_000, 11_000_000)] diff --git a/tests/integration/studies_blueprint/assets/test_synthesis/raw_study.synthesis.json b/tests/integration/studies_blueprint/assets/test_synthesis/raw_study.synthesis.json index 04ce3ddbec..80ffa29e32 100644 --- a/tests/integration/studies_blueprint/assets/test_synthesis/raw_study.synthesis.json +++ b/tests/integration/studies_blueprint/assets/test_synthesis/raw_study.synthesis.json @@ -1589,6 +1589,18 @@ ], "archived": true, "xpansion": "" + }, + "20241807-1540eco-extra-outputs": { + "name": "extra-outputs", + "date": "20241807-1540", + "mode": "economy", + "nbyears": 1, + "synthesis": true, + "by_year": true, + "error": false, + "playlist": [], + "archived": false, + "xpansion": "" } }, "bindings": [], diff --git a/tests/integration/studies_blueprint/test_disk_usage.py b/tests/integration/studies_blueprint/test_disk_usage.py index dcfb48a5b7..d2257a40fd 100644 --- a/tests/integration/studies_blueprint/test_disk_usage.py +++ b/tests/integration/studies_blueprint/test_disk_usage.py @@ -27,8 +27,8 @@ def test_disk_usage_endpoint( headers=user_headers, ) assert res.status_code == 200, res.json() - disk_usage = res.json() # currently: 7.47 Mio on Ubuntu - assert 7 * 1024 * 1024 < disk_usage < 8 * 1024 * 1024 + disk_usage = res.json() # currently: 8.75 Mio on Ubuntu + assert 8 * 1024 * 1024 < disk_usage < 9 * 1024 * 1024 # Copy the study in managed workspace in order to create a variant res = client.post( diff --git a/tests/integration/test_integration.py b/tests/integration/test_integration.py index 08aa099dd1..2119f96658 100644 --- a/tests/integration/test_integration.py +++ b/tests/integration/test_integration.py @@ -81,7 +81,7 @@ def test_main(client: TestClient, admin_access_token: str) -> None: headers={"Authorization": f'Bearer {george_credentials["access_token"]}'}, ) res_output = res.json() - assert len(res_output) == 5 + assert len(res_output) == 6 res = client.get( f"/v1/studies/{study_id}/outputs/20201014-1427eco/variables", @@ -178,7 +178,7 @@ def test_main(client: TestClient, admin_access_token: str) -> None: f"/v1/studies/{study_id}/outputs", headers={"Authorization": f'Bearer {george_credentials["access_token"]}'}, ) - assert len(res.json()) == 4 + assert len(res.json()) == 5 # study creation created = client.post( @@ -1400,7 +1400,7 @@ def test_area_management(client: TestClient, admin_access_token: str) -> None: res_links = client.get(f"/v1/studies/{study_id}/links") assert res_links.json() == [] - res = client.put( + client.put( f"/v1/studies/{study_id}/areas/area%201/ui", json={"x": 100, "y": 100, "color_rgb": [255, 0, 100]}, ) @@ -1662,7 +1662,7 @@ def test_import(client: TestClient, admin_access_token: str, internal_study_id: f"/v1/studies/{internal_study_id}/outputs", headers={"Authorization": f'Bearer {george_credentials["access_token"]}'}, ) - assert len(res.json()) == 6 + assert len(res.json()) == 7 # tests outputs import for .7z output_path_seven_zip = ASSETS_DIR / "output_adq.7z" @@ -1675,7 +1675,7 @@ def test_import(client: TestClient, admin_access_token: str, internal_study_id: f"/v1/studies/{internal_study_id}/outputs", headers={"Authorization": f'Bearer {george_credentials["access_token"]}'}, ) - assert len(res.json()) == 7 + assert len(res.json()) == 8 # test matrices import for .zip and .7z files matrices_zip_path = ASSETS_DIR / "matrices.zip" diff --git a/tests/integration/test_integration_token_end_to_end.py b/tests/integration/test_integration_token_end_to_end.py index bdab6a036d..66957d1a1e 100644 --- a/tests/integration/test_integration_token_end_to_end.py +++ b/tests/integration/test_integration_token_end_to_end.py @@ -197,7 +197,7 @@ def wait_unit_finished() -> bool: # read a result res = client.get(f"/v1/studies/{study_id}/outputs", headers=bot_headers) - assert len(res.json()) == 5 + assert len(res.json()) == 6 first_output_name = res.json()[0]["name"] res = client.get( f"/v1/studies/{study_id}/raw", @@ -212,7 +212,7 @@ def wait_unit_finished() -> bool: # remove output client.delete(f"/v1/studies/{study_id}/outputs/{first_output_name}", headers=bot_headers) res = client.get(f"/v1/studies/{study_id}/outputs", headers=bot_headers) - assert len(res.json()) == 4 + assert len(res.json()) == 5 # delete variant res = client.delete(f"/v1/studies/{variant_id}", headers=bot_headers) From 3d9683e25522bd516cb6f67956bac36817f21fea Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Mon, 5 Aug 2024 19:00:43 +0200 Subject: [PATCH 07/19] feat(aggregation-api): add regex based column-filtering, remove duplicate code --- .../study/business/aggregator_management.py | 166 ++++++++---------- antarest/study/service.py | 8 +- antarest/study/web/raw_studies_blueprint.py | 12 ++ 3 files changed, 96 insertions(+), 90 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index ae059dcd5e..cafacef0a7 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -14,10 +14,7 @@ ) from antarest.study.storage.rawstudy.model.filesystem.matrix.matrix import MatrixFrequency -MC_IND_TEMPLATE_PARTS = "output/{sim_id}/economy/mc-ind" -"""Template for the path to reach the output data in economy/mc-ind.""" -MC_ALL_TEMPLATE_PARTS = "output/{sim_id}/economy/mc-all" -"""Template for the path to reach the output data in economy/mc-all.""" +MC_TEMPLATE_PARTS = "output/{sim_id}/economy/{mc_root}" HORIZON_TEMPLATE = "output/{sim_id}/about-the-study/parameters.ini" # noinspection SpellCheckingInspection MCYEAR_COL = "mcYear" @@ -32,14 +29,17 @@ """Column name for the timestamp.""" MC_YEAR_INDEX = 0 """Index in path parts starting from the Monte Carlo year to determine the Monte Carlo year.""" -AREA_OR_LINK_INDEX__IND = 2 -"""Index in path parts starting from the Monte Carlo year to determine the area/link name.""" -AREA_OR_LINK_INDEX__ALL = 1 -"""Index in path parts starting from the `economy/mc-all` to determine the area/link name.""" +AREA_OR_LINK_INDEX__IND, AREA_OR_LINK_INDEX__ALL = 2, 1 +"""Indexes in path parts starting from the output root `economy//mc-(ind/all)` to determine the area/link name.""" logger = logging.getLogger(__name__) +class MCRoot(str, Enum): + MC_IND = "mc-ind" + MC_ALL = "mc-all" + + class MCIndAreasQueryFile(str, Enum): VALUES = "values" DETAILS = "details" @@ -80,6 +80,7 @@ def __init__( frequency: MatrixFrequency, ids_to_consider: t.Sequence[str], columns_names: t.Sequence[str], + columns_regexes: t.Sequence[str], mc_years: t.Optional[t.Sequence[int]] = None, ): self.study_path: Path = study_path @@ -90,14 +91,24 @@ def __init__( self.frequency: MatrixFrequency = frequency self.mc_years: t.Optional[t.Sequence[int]] = mc_years self.columns_names: t.Sequence[str] = columns_names + self.columns_regexes: t.Sequence[str] = columns_regexes self.ids_to_consider: t.Sequence[str] = ids_to_consider self.output_type = ( "areas" if (isinstance(query_file, MCIndAreasQueryFile) or isinstance(query_file, MCAllAreasQueryFile)) else "links" ) - self.mc_ind_path = self.study_path / MC_IND_TEMPLATE_PARTS.format(sim_id=self.output_id) - self.mc_all_path = self.study_path / MC_ALL_TEMPLATE_PARTS.format(sim_id=self.output_id) + self.mc_ind_path = self.study_path / MC_TEMPLATE_PARTS.format( + sim_id=self.output_id, mc_root=MCRoot.MC_IND.value + ) + self.mc_all_path = self.study_path / MC_TEMPLATE_PARTS.format( + sim_id=self.output_id, mc_root=MCRoot.MC_ALL.value + ) + self.mc_root = ( + MCRoot.MC_IND + if (isinstance(query_file, MCIndAreasQueryFile) or isinstance(query_file, MCIndLinksQueryFile)) + else MCRoot.MC_ALL + ) def _parse_output_file(self, file_path: Path) -> pd.DataFrame: csv_file = pd.read_csv( @@ -188,63 +199,24 @@ def _gather_all_files_to_consider__all(self) -> t.Sequence[Path]: ] return all_output_files - def _build_dataframe__ind(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: - final_df = pd.DataFrame() - nb_files = len(files) - for k, file_path in enumerate(files): - df = self._parse_output_file(file_path) - - # columns filtering - if self.columns_names: - filtered_columns = [c for c in df.columns.tolist() if c in self.columns_names] - df = df.loc[:, filtered_columns] - - # if no columns, no need to continue - list_of_df_columns = df.columns.tolist() - if not list_of_df_columns: - return pd.DataFrame() - - # checks if the estimated dataframe size does not exceed the limit - # This check is performed on 10 aggregated files to have a more accurate view of the final df. - if k == 10: - # The following formula is the more accurate one compared to the final csv file. - estimated_binary_size = final_df.memory_usage().sum() - _checks_estimated_size(nb_files, estimated_binary_size, k) - - # add column for links/areas - relative_path_parts = file_path.relative_to(self.mc_ind_path).parts - column_name = AREA_COL if self.output_type == "areas" else LINK_COL - new_column_order = [column_name, MCYEAR_COL, TIME_ID_COL, TIME_COL] + list_of_df_columns - df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__IND] - - # add column to record the Monte Carlo year - df[MCYEAR_COL] = int(relative_path_parts[MC_YEAR_INDEX]) - - # add a column for the time id - df[TIME_ID_COL] = list(range(1, len(df) + 1)) - # add horizon column - df[TIME_COL] = horizon - - # Reorganize the columns - df = df.reindex(columns=new_column_order) - - final_df = pd.concat([final_df, df], ignore_index=True) - - # replace np.nan by None - final_df = final_df.replace({np.nan: None}) - - return final_df + def columns_filtering(self, df: pd.DataFrame) -> pd.DataFrame: + # columns filtering + if self.columns_names: + filtered_columns = [c for c in df.columns.tolist() if c in self.columns_names] + df = df.loc[:, filtered_columns] + if self.columns_regexes: + filtered_columns = [c for c in df.columns.tolist() if any(regex in c for regex in self.columns_regexes)] + df = df.loc[:, filtered_columns] + return df - def _build_dataframe__all(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: + def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: final_df = pd.DataFrame() nb_files = len(files) for k, file_path in enumerate(files): df = self._parse_output_file(file_path) # columns filtering - if self.columns_names: - filtered_columns = [c for c in df.columns.tolist() if c in self.columns_names] - df = df.loc[:, filtered_columns] + df = self.columns_filtering(df) # if no columns, no need to continue list_of_df_columns = df.columns.tolist() @@ -258,32 +230,50 @@ def _build_dataframe__all(self, files: t.Sequence[Path], horizon: int) -> pd.Dat estimated_binary_size = final_df.memory_usage().sum() _checks_estimated_size(nb_files, estimated_binary_size, k) - # first columns df - # first we include the time id column - first_columns_df = pd.DataFrame( - { - TIME_ID_COL: list(range(1, len(df) + 1)), - } - ) - - # add column for links/areas - relative_path_parts = file_path.relative_to(self.mc_all_path).parts - column_name = AREA_COL if self.output_type == "areas" else LINK_COL - first_columns_df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__ALL] - - # add horizon column - first_columns_df[TIME_COL] = horizon - - # reorder first columns - new_column_order = [column_name, TIME_ID_COL, TIME_COL] - first_columns_df = first_columns_df.reindex(columns=new_column_order) - - # reset index - # noinspection PyTypeChecker - first_columns_df.set_index(df.index, inplace=True) - - # merge first columns with the rest of the df - df = pd.merge(first_columns_df, df, left_index=True, right_index=True) + if self.mc_root == MCRoot.MC_IND: + # add column for links/areas + relative_path_parts = file_path.relative_to(self.mc_ind_path).parts + column_name = AREA_COL if self.output_type == "areas" else LINK_COL + new_column_order = [column_name, MCYEAR_COL, TIME_ID_COL, TIME_COL] + list_of_df_columns + df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__IND] + + # add column to record the Monte Carlo year + df[MCYEAR_COL] = int(relative_path_parts[MC_YEAR_INDEX]) + + # add a column for the time id + df[TIME_ID_COL] = list(range(1, len(df) + 1)) + # add horizon column + df[TIME_COL] = horizon + + # Reorganize the columns + df = df.reindex(columns=new_column_order) + else: + # first columns df + # first we include the time id column + first_columns_df = pd.DataFrame( + { + TIME_ID_COL: list(range(1, len(df) + 1)), + } + ) + + # add column for links/areas + relative_path_parts = file_path.relative_to(self.mc_all_path).parts + column_name = AREA_COL if self.output_type == "areas" else LINK_COL + first_columns_df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__ALL] + + # add horizon column + first_columns_df[TIME_COL] = horizon + + # reorder first columns + new_column_order = [column_name, TIME_ID_COL, TIME_COL] + first_columns_df = first_columns_df.reindex(columns=new_column_order) + + # reset index + # noinspection PyTypeChecker + first_columns_df.set_index(df.index, inplace=True) + + # merge first columns with the rest of the df + df = pd.merge(first_columns_df, df, left_index=True, right_index=True) final_df = pd.concat([final_df, df], ignore_index=True) @@ -317,7 +307,7 @@ def aggregate_output_data(self) -> pd.DataFrame: f"to build the aggregated output for study `{self.study_path.name}`" ) # builds final dataframe - final_df = self._build_dataframe__ind(all_output_files, horizon) + final_df = self._build_dataframe(all_output_files, horizon) return final_df @@ -343,6 +333,6 @@ def aggregate_output_data__all(self) -> pd.DataFrame: f"to build the aggregated output for study `{self.study_path.name}`" ) # builds final dataframe - final_df = self._build_dataframe__all(all_output_files, horizon) + final_df = self._build_dataframe(all_output_files, horizon) return final_df diff --git a/antarest/study/service.py b/antarest/study/service.py index 0a407a806c..a01cee461c 100644 --- a/antarest/study/service.py +++ b/antarest/study/service.py @@ -382,6 +382,7 @@ def aggregate_output_data( frequency: MatrixFrequency, mc_years: t.Sequence[int], columns_names: t.Sequence[str], + columns_regexes: t.Sequence[str], ids_to_consider: t.Sequence[str], params: RequestParameters, ) -> pd.DataFrame: @@ -394,6 +395,7 @@ def aggregate_output_data( frequency: yearly, monthly, weekly, daily or hourly. mc_years: list of monte-carlo years, if empty, all years are selected columns_names: columns to be selected, if empty, all columns are selected + columns_regexes: columns to be selected using list of regexes, if empty, all columns are selected ids_to_consider: list of areas or links ids to consider, if empty, all areas are selected params: request parameters @@ -405,7 +407,7 @@ def aggregate_output_data( study_path = self.storage_service.raw_study_service.get_study_path(study) # fmt: off aggregator_manager = AggregatorManager(study_path, output_id, query_file, frequency, ids_to_consider, - columns_names, mc_years) + columns_names, columns_regexes, mc_years) # fmt: on return aggregator_manager.aggregate_output_data() @@ -416,6 +418,7 @@ def aggregate_output_data__all( query_file: t.Union[MCAllAreasQueryFile, MCAllLinksQueryFile], frequency: MatrixFrequency, columns_names: t.Sequence[str], + columns_regexes: t.Sequence[str], ids_to_consider: t.Sequence[str], params: RequestParameters, ) -> pd.DataFrame: @@ -427,6 +430,7 @@ def aggregate_output_data__all( query_file: which types of data to retrieve ("values", "details", "details-st-storage", "details-res") frequency: yearly, monthly, weekly, daily or hourly. columns_names: columns to be selected, if empty, all columns are selected + columns_regexes: columns to be selected using list of regexes, if empty, all columns are selected ids_to_consider: list of areas or links ids to consider, if empty, all areas are selected params: request parameters @@ -438,7 +442,7 @@ def aggregate_output_data__all( study_path = self.storage_service.raw_study_service.get_study_path(study) # fmt: off aggregator_manager = AggregatorManager(study_path, output_id, query_file, frequency, ids_to_consider, - columns_names) + columns_names, columns_regexes) # fmt: on return aggregator_manager.aggregate_output_data__all() diff --git a/antarest/study/web/raw_studies_blueprint.py b/antarest/study/web/raw_studies_blueprint.py index c10354906c..f36be17099 100644 --- a/antarest/study/web/raw_studies_blueprint.py +++ b/antarest/study/web/raw_studies_blueprint.py @@ -192,6 +192,7 @@ def aggregate_areas_raw_data( mc_years: str = "", areas_ids: str = "", columns_names: str = "", + columns_regexes: str = "", export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore current_user: JWTUser = Depends(auth.get_current_user), ) -> FileResponse: @@ -207,6 +208,7 @@ def aggregate_areas_raw_data( - `mc_years`: which Monte Carlo years to be selected. If empty, all are selected (comma separated) - `areas_ids`: which areas to be selected. If empty, all are selected (comma separated) - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) + - `columns_regexes`: which columns to be selected using comma separated regexes. If empty, all are selected - `export_format`: Returned file format (csv by default). Returns: @@ -230,6 +232,7 @@ def aggregate_areas_raw_data( frequency=frequency, mc_years=[int(mc_year) for mc_year in _split_comma_separated_values(mc_years)], columns_names=_split_comma_separated_values(columns_names), + columns_regexes=_split_comma_separated_values(columns_regexes), ids_to_consider=_split_comma_separated_values(areas_ids), params=parameters, ) @@ -261,6 +264,7 @@ def aggregate_links_raw_data( mc_years: str = "", links_ids: str = "", columns_names: str = "", + columns_regexes: str = "", export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore current_user: JWTUser = Depends(auth.get_current_user), ) -> FileResponse: @@ -275,6 +279,7 @@ def aggregate_links_raw_data( - `mc_years`: which Monte Carlo years to be selected. If empty, all are selected (comma separated) - `links_ids`: which links to be selected (ex: "be - fr"). If empty, all are selected (comma separated) - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) + - `columns_regexes`: which columns to be selected using comma separated regexes. If empty, all are selected - `export_format`: Returned file format (csv by default). Returns: @@ -298,6 +303,7 @@ def aggregate_links_raw_data( frequency=frequency, mc_years=[int(mc_year) for mc_year in _split_comma_separated_values(mc_years)], columns_names=_split_comma_separated_values(columns_names), + columns_regexes=_split_comma_separated_values(columns_regexes), ids_to_consider=_split_comma_separated_values(links_ids), params=parameters, ) @@ -328,6 +334,7 @@ def aggregate_areas_raw_data__all( frequency: MatrixFrequency, areas_ids: str = "", columns_names: str = "", + columns_regexes: str = "", export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore current_user: JWTUser = Depends(auth.get_current_user), ) -> FileResponse: @@ -342,6 +349,7 @@ def aggregate_areas_raw_data__all( - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `areas_ids`: which areas to be selected. If empty, all are selected (comma separated) - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) + - `columns_regexes`: which columns to be selected using comma separated regexes. If empty, all are selected - `export_format`: Returned file format (csv by default). Returns: @@ -364,6 +372,7 @@ def aggregate_areas_raw_data__all( query_file=query_file, frequency=frequency, columns_names=_split_comma_separated_values(columns_names), + columns_regexes=_split_comma_separated_values(columns_regexes), ids_to_consider=_split_comma_separated_values(areas_ids), params=parameters, ) @@ -394,6 +403,7 @@ def aggregate_links_raw_data__all( frequency: MatrixFrequency, links_ids: str = "", columns_names: str = "", + columns_regexes: str = "", export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore current_user: JWTUser = Depends(auth.get_current_user), ) -> FileResponse: @@ -407,6 +417,7 @@ def aggregate_links_raw_data__all( - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `links_ids`: which links to be selected (ex: "be - fr"). If empty, all are selected (comma separated) - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) + - `columns_regexes`: which columns to be selected using comma separated regexes. If empty, all are selected - `export_format`: Returned file format (csv by default). Returns: @@ -429,6 +440,7 @@ def aggregate_links_raw_data__all( query_file=query_file, frequency=frequency, columns_names=_split_comma_separated_values(columns_names), + columns_regexes=_split_comma_separated_values(columns_regexes), ids_to_consider=_split_comma_separated_values(links_ids), params=parameters, ) From 0668d91b67bfc1a2cc177068b64d8794cd9b352e Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Mon, 5 Aug 2024 19:01:21 +0200 Subject: [PATCH 08/19] test(aggregation-api): add unittests for regex based column-filtering --- .../test-06.result.tsv | 2689 +++++++++++++++++ .../test-07-all.result.tsv | 15 + .../test-05.result.tsv | 2017 +++++++++++++ .../test-06-all.result.tsv | 365 +++ .../test_aggregate_raw_data.py | 36 + 5 files changed, 5122 insertions(+) create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06.result.tsv create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05.result.tsv create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-06-all.result.tsv diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06.result.tsv new file mode 100644 index 0000000000..fd2de4bf1d --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06.result.tsv @@ -0,0 +1,2689 @@ +area mcYear timeId time OV. COST OP. COST H. COST NP COST NODU +de 1 1 2030 0.0 0.0 0.0 0.0 0.0 +de 1 2 2030 1000.0 1000.0 0.0 0.0 1.0 +de 1 3 2030 2000.0 2000.0 0.0 0.0 1.0 +de 1 4 2030 3000.0 3000.0 0.0 0.0 1.0 +de 1 5 2030 4000.0 4000.0 0.0 0.0 1.0 +de 1 6 2030 5000.0 5000.0 0.0 0.0 1.0 +de 1 7 2030 6000.0 6000.0 0.0 0.0 1.0 +de 1 8 2030 7000.0 7000.0 0.0 0.0 1.0 +de 1 9 2030 8000.0 8000.0 0.0 0.0 1.0 +de 1 10 2030 9000.0 9000.0 0.0 0.0 1.0 +de 1 11 2030 10000.0 10000.0 0.0 0.0 1.0 +de 1 12 2030 11000.0 11000.0 0.0 0.0 1.0 +de 1 13 2030 12000.0 12000.0 0.0 0.0 1.0 +de 1 14 2030 13000.0 13000.0 0.0 0.0 1.0 +de 1 15 2030 14000.0 14000.0 0.0 0.0 1.0 +de 1 16 2030 15000.0 15000.0 0.0 0.0 1.0 +de 1 17 2030 16000.0 16000.0 0.0 0.0 1.0 +de 1 18 2030 17000.0 17000.0 0.0 0.0 1.0 +de 1 19 2030 18000.0 18000.0 0.0 0.0 1.0 +de 1 20 2030 19000.0 19000.0 0.0 0.0 1.0 +de 1 21 2030 20000.0 20000.0 0.0 0.0 1.0 +de 1 22 2030 22000.0 22000.0 0.0 0.0 2.0 +de 1 23 2030 24000.0 24000.0 0.0 0.0 2.0 +de 1 24 2030 26000.0 26000.0 0.0 0.0 2.0 +de 1 25 2030 28000.0 28000.0 0.0 0.0 2.0 +de 1 26 2030 30000.0 30000.0 0.0 0.0 2.0 +de 1 27 2030 32000.0 32000.0 0.0 0.0 2.0 +de 1 28 2030 34000.0 34000.0 0.0 0.0 2.0 +de 1 29 2030 36000.0 36000.0 0.0 0.0 2.0 +de 1 30 2030 38000.0 38000.0 0.0 0.0 2.0 +de 1 31 2030 40000.0 40000.0 0.0 0.0 2.0 +de 1 32 2030 42000.0 42000.0 0.0 0.0 2.0 +de 1 33 2030 44000.0 44000.0 0.0 0.0 2.0 +de 1 34 2030 46000.0 46000.0 0.0 0.0 2.0 +de 1 35 2030 48000.0 48000.0 0.0 0.0 2.0 +de 1 36 2030 50000.0 50000.0 0.0 0.0 2.0 +de 1 37 2030 52000.0 52000.0 0.0 0.0 2.0 +de 1 38 2030 54000.0 54000.0 0.0 0.0 2.0 +de 1 39 2030 56000.0 56000.0 0.0 0.0 2.0 +de 1 40 2030 58000.0 58000.0 0.0 0.0 2.0 +de 1 41 2030 60000.0 60000.0 0.0 0.0 2.0 +de 1 42 2030 63000.0 63000.0 0.0 0.0 3.0 +de 1 43 2030 66000.0 66000.0 0.0 0.0 3.0 +de 1 44 2030 69000.0 69000.0 0.0 0.0 3.0 +de 1 45 2030 72000.0 72000.0 0.0 0.0 3.0 +de 1 46 2030 75000.0 75000.0 0.0 0.0 3.0 +de 1 47 2030 78000.0 78000.0 0.0 0.0 3.0 +de 1 48 2030 81000.0 81000.0 0.0 0.0 3.0 +de 1 49 2030 84000.0 84000.0 0.0 0.0 3.0 +de 1 50 2030 87000.0 87000.0 0.0 0.0 3.0 +de 1 51 2030 90000.0 90000.0 0.0 0.0 3.0 +de 1 52 2030 93000.0 93000.0 0.0 0.0 3.0 +de 1 53 2030 96000.0 96000.0 0.0 0.0 3.0 +de 1 54 2030 99000.0 99000.0 0.0 0.0 3.0 +de 1 55 2030 102000.0 102000.0 0.0 0.0 3.0 +de 1 56 2030 105000.0 105000.0 0.0 0.0 3.0 +de 1 57 2030 108000.0 108000.0 0.0 0.0 3.0 +de 1 58 2030 111000.0 111000.0 0.0 0.0 3.0 +de 1 59 2030 114000.0 114000.0 0.0 0.0 3.0 +de 1 60 2030 117000.0 117000.0 0.0 0.0 3.0 +de 1 61 2030 120000.0 120000.0 0.0 0.0 3.0 +de 1 62 2030 124000.0 124000.0 0.0 0.0 4.0 +de 1 63 2030 128000.0 128000.0 0.0 0.0 4.0 +de 1 64 2030 132000.0 132000.0 0.0 0.0 4.0 +de 1 65 2030 136000.0 136000.0 0.0 0.0 4.0 +de 1 66 2030 140000.0 140000.0 0.0 0.0 4.0 +de 1 67 2030 144000.0 144000.0 0.0 0.0 4.0 +de 1 68 2030 148000.0 148000.0 0.0 0.0 4.0 +de 1 69 2030 152000.0 152000.0 0.0 0.0 4.0 +de 1 70 2030 156000.0 156000.0 0.0 0.0 4.0 +de 1 71 2030 160000.0 160000.0 0.0 0.0 4.0 +de 1 72 2030 164000.0 164000.0 0.0 0.0 4.0 +de 1 73 2030 168000.0 168000.0 0.0 0.0 4.0 +de 1 74 2030 172000.0 172000.0 0.0 0.0 4.0 +de 1 75 2030 176000.0 176000.0 0.0 0.0 4.0 +de 1 76 2030 180000.0 180000.0 0.0 0.0 4.0 +de 1 77 2030 184000.0 184000.0 0.0 0.0 4.0 +de 1 78 2030 188000.0 188000.0 0.0 0.0 4.0 +de 1 79 2030 192000.0 192000.0 0.0 0.0 4.0 +de 1 80 2030 196000.0 196000.0 0.0 0.0 4.0 +de 1 81 2030 200000.0 200000.0 0.0 0.0 4.0 +de 1 82 2030 205000.0 205000.0 0.0 0.0 5.0 +de 1 83 2030 210000.0 210000.0 0.0 0.0 5.0 +de 1 84 2030 215000.0 215000.0 0.0 0.0 5.0 +de 1 85 2030 220000.0 220000.0 0.0 0.0 5.0 +de 1 86 2030 225000.0 225000.0 0.0 0.0 5.0 +de 1 87 2030 230000.0 230000.0 0.0 0.0 5.0 +de 1 88 2030 235000.0 235000.0 0.0 0.0 5.0 +de 1 89 2030 240000.0 240000.0 0.0 0.0 5.0 +de 1 90 2030 245000.0 245000.0 0.0 0.0 5.0 +de 1 91 2030 250000.0 250000.0 0.0 0.0 5.0 +de 1 92 2030 255000.0 255000.0 0.0 0.0 5.0 +de 1 93 2030 260000.0 260000.0 0.0 0.0 5.0 +de 1 94 2030 265000.0 265000.0 0.0 0.0 5.0 +de 1 95 2030 270000.0 270000.0 0.0 0.0 5.0 +de 1 96 2030 275000.0 275000.0 0.0 0.0 5.0 +de 1 97 2030 280000.0 280000.0 0.0 0.0 5.0 +de 1 98 2030 285000.0 285000.0 0.0 0.0 5.0 +de 1 99 2030 290000.0 290000.0 0.0 0.0 5.0 +de 1 100 2030 295000.0 295000.0 0.0 0.0 5.0 +de 1 101 2030 300000.0 300000.0 0.0 0.0 5.0 +de 1 102 2030 306000.0 306000.0 0.0 0.0 6.0 +de 1 103 2030 312000.0 312000.0 0.0 0.0 6.0 +de 1 104 2030 318000.0 318000.0 0.0 0.0 6.0 +de 1 105 2030 324000.0 324000.0 0.0 0.0 6.0 +de 1 106 2030 330000.0 330000.0 0.0 0.0 6.0 +de 1 107 2030 336000.0 336000.0 0.0 0.0 6.0 +de 1 108 2030 342000.0 342000.0 0.0 0.0 6.0 +de 1 109 2030 348000.0 348000.0 0.0 0.0 6.0 +de 1 110 2030 354000.0 354000.0 0.0 0.0 6.0 +de 1 111 2030 360000.0 360000.0 0.0 0.0 6.0 +de 1 112 2030 366000.0 366000.0 0.0 0.0 6.0 +de 1 113 2030 372000.0 372000.0 0.0 0.0 6.0 +de 1 114 2030 378000.0 378000.0 0.0 0.0 6.0 +de 1 115 2030 384000.0 384000.0 0.0 0.0 6.0 +de 1 116 2030 390000.0 390000.0 0.0 0.0 6.0 +de 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2030 58000.0 58000.0 0.0 0.0 2.0 +de 1 209 2030 60000.0 60000.0 0.0 0.0 2.0 +de 1 210 2030 63000.0 63000.0 0.0 0.0 3.0 +de 1 211 2030 66000.0 66000.0 0.0 0.0 3.0 +de 1 212 2030 69000.0 69000.0 0.0 0.0 3.0 +de 1 213 2030 72000.0 72000.0 0.0 0.0 3.0 +de 1 214 2030 75000.0 75000.0 0.0 0.0 3.0 +de 1 215 2030 78000.0 78000.0 0.0 0.0 3.0 +de 1 216 2030 81000.0 81000.0 0.0 0.0 3.0 +de 1 217 2030 84000.0 84000.0 0.0 0.0 3.0 +de 1 218 2030 87000.0 87000.0 0.0 0.0 3.0 +de 1 219 2030 90000.0 90000.0 0.0 0.0 3.0 +de 1 220 2030 93000.0 93000.0 0.0 0.0 3.0 +de 1 221 2030 96000.0 96000.0 0.0 0.0 3.0 +de 1 222 2030 99000.0 99000.0 0.0 0.0 3.0 +de 1 223 2030 102000.0 102000.0 0.0 0.0 3.0 +de 1 224 2030 105000.0 105000.0 0.0 0.0 3.0 +de 1 225 2030 108000.0 108000.0 0.0 0.0 3.0 +de 1 226 2030 111000.0 111000.0 0.0 0.0 3.0 +de 1 227 2030 114000.0 114000.0 0.0 0.0 3.0 +de 1 228 2030 117000.0 117000.0 0.0 0.0 3.0 +de 1 229 2030 120000.0 120000.0 0.0 0.0 3.0 +de 1 230 2030 124000.0 124000.0 0.0 0.0 4.0 +de 1 231 2030 128000.0 128000.0 0.0 0.0 4.0 +de 1 232 2030 132000.0 132000.0 0.0 0.0 4.0 +de 1 233 2030 136000.0 136000.0 0.0 0.0 4.0 +de 1 234 2030 140000.0 140000.0 0.0 0.0 4.0 +de 1 235 2030 144000.0 144000.0 0.0 0.0 4.0 +de 1 236 2030 148000.0 148000.0 0.0 0.0 4.0 +de 1 237 2030 152000.0 152000.0 0.0 0.0 4.0 +de 1 238 2030 156000.0 156000.0 0.0 0.0 4.0 +de 1 239 2030 160000.0 160000.0 0.0 0.0 4.0 +de 1 240 2030 164000.0 164000.0 0.0 0.0 4.0 +de 1 241 2030 168000.0 168000.0 0.0 0.0 4.0 +de 1 242 2030 172000.0 172000.0 0.0 0.0 4.0 +de 1 243 2030 176000.0 176000.0 0.0 0.0 4.0 +de 1 244 2030 180000.0 180000.0 0.0 0.0 4.0 +de 1 245 2030 184000.0 184000.0 0.0 0.0 4.0 +de 1 246 2030 188000.0 188000.0 0.0 0.0 4.0 +de 1 247 2030 192000.0 192000.0 0.0 0.0 4.0 +de 1 248 2030 196000.0 196000.0 0.0 0.0 4.0 +de 1 249 2030 200000.0 200000.0 0.0 0.0 4.0 +de 1 250 2030 205000.0 205000.0 0.0 0.0 5.0 +de 1 251 2030 210000.0 210000.0 0.0 0.0 5.0 +de 1 252 2030 215000.0 215000.0 0.0 0.0 5.0 +de 1 253 2030 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336000.0 0.0 0.0 6.0 +de 1 276 2030 342000.0 342000.0 0.0 0.0 6.0 +de 1 277 2030 348000.0 348000.0 0.0 0.0 6.0 +de 1 278 2030 354000.0 354000.0 0.0 0.0 6.0 +de 1 279 2030 360000.0 360000.0 0.0 0.0 6.0 +de 1 280 2030 366000.0 366000.0 0.0 0.0 6.0 +de 1 281 2030 372000.0 372000.0 0.0 0.0 6.0 +de 1 282 2030 378000.0 378000.0 0.0 0.0 6.0 +de 1 283 2030 384000.0 384000.0 0.0 0.0 6.0 +de 1 284 2030 390000.0 390000.0 0.0 0.0 6.0 +de 1 285 2030 396000.0 396000.0 0.0 0.0 6.0 +de 1 286 2030 402000.0 402000.0 0.0 0.0 6.0 +de 1 287 2030 408000.0 408000.0 0.0 0.0 6.0 +de 1 288 2030 414000.0 414000.0 0.0 0.0 6.0 +de 1 289 2030 420000.0 420000.0 0.0 0.0 6.0 +de 1 290 2030 427000.0 427000.0 0.0 0.0 7.0 +de 1 291 2030 434000.0 434000.0 0.0 0.0 7.0 +de 1 292 2030 441000.0 441000.0 0.0 0.0 7.0 +de 1 293 2030 448000.0 448000.0 0.0 0.0 7.0 +de 1 294 2030 455000.0 455000.0 0.0 0.0 7.0 +de 1 295 2030 462000.0 462000.0 0.0 0.0 7.0 +de 1 296 2030 469000.0 469000.0 0.0 0.0 7.0 +de 1 297 2030 476000.0 476000.0 0.0 0.0 7.0 +de 1 298 2030 483000.0 483000.0 0.0 0.0 7.0 +de 1 299 2030 490000.0 490000.0 0.0 0.0 7.0 +de 1 300 2030 497000.0 497000.0 0.0 0.0 7.0 +de 1 301 2030 504000.0 504000.0 0.0 0.0 7.0 +de 1 302 2030 511000.0 511000.0 0.0 0.0 7.0 +de 1 303 2030 518000.0 518000.0 0.0 0.0 7.0 +de 1 304 2030 525000.0 525000.0 0.0 0.0 7.0 +de 1 305 2030 532000.0 532000.0 0.0 0.0 7.0 +de 1 306 2030 539000.0 539000.0 0.0 0.0 7.0 +de 1 307 2030 546000.0 546000.0 0.0 0.0 7.0 +de 1 308 2030 553000.0 553000.0 0.0 0.0 7.0 +de 1 309 2030 560000.0 560000.0 0.0 0.0 7.0 +de 1 310 2030 568000.0 568000.0 0.0 0.0 8.0 +de 1 311 2030 576000.0 576000.0 0.0 0.0 8.0 +de 1 312 2030 584000.0 584000.0 0.0 0.0 8.0 +de 1 313 2030 592000.0 592000.0 0.0 0.0 8.0 +de 1 314 2030 600000.0 600000.0 0.0 0.0 8.0 +de 1 315 2030 608000.0 608000.0 0.0 0.0 8.0 +de 1 316 2030 616000.0 616000.0 0.0 0.0 8.0 +de 1 317 2030 624000.0 624000.0 0.0 0.0 8.0 +de 1 318 2030 632000.0 632000.0 0.0 0.0 8.0 +de 1 319 2030 640000.0 640000.0 0.0 0.0 8.0 +de 1 320 2030 648000.0 648000.0 0.0 0.0 8.0 +de 1 321 2030 656000.0 656000.0 0.0 0.0 8.0 +de 1 322 2030 664000.0 664000.0 0.0 0.0 8.0 +de 1 323 2030 672000.0 672000.0 0.0 0.0 8.0 +de 1 324 2030 680000.0 680000.0 0.0 0.0 8.0 +de 1 325 2030 688000.0 688000.0 0.0 0.0 8.0 +de 1 326 2030 696000.0 696000.0 0.0 0.0 8.0 +de 1 327 2030 704000.0 704000.0 0.0 0.0 8.0 +de 1 328 2030 712000.0 712000.0 0.0 0.0 8.0 +de 1 329 2030 720000.0 720000.0 0.0 0.0 8.0 +de 1 330 2030 729000.0 729000.0 0.0 0.0 9.0 +de 1 331 2030 738000.0 738000.0 0.0 0.0 9.0 +de 1 332 2030 747000.0 747000.0 0.0 0.0 9.0 +de 1 333 2030 756000.0 756000.0 0.0 0.0 9.0 +de 1 334 2030 765000.0 765000.0 0.0 0.0 9.0 +de 1 335 2030 774000.0 774000.0 0.0 0.0 9.0 +de 1 336 2030 783000.0 783000.0 0.0 0.0 9.0 +es 1 1 2030 0.0 0.0 0.0 0.0 0.0 +es 1 2 2030 1000.0 1000.0 0.0 0.0 1.0 +es 1 3 2030 2000.0 2000.0 0.0 0.0 1.0 +es 1 4 2030 3000.0 3000.0 0.0 0.0 1.0 +es 1 5 2030 4000.0 4000.0 0.0 0.0 1.0 +es 1 6 2030 5000.0 5000.0 0.0 0.0 1.0 +es 1 7 2030 6000.0 6000.0 0.0 0.0 1.0 +es 1 8 2030 7000.0 7000.0 0.0 0.0 1.0 +es 1 9 2030 8000.0 8000.0 0.0 0.0 1.0 +es 1 10 2030 9000.0 9000.0 0.0 0.0 1.0 +es 1 11 2030 10000.0 10000.0 0.0 0.0 1.0 +es 1 12 2030 11000.0 11000.0 0.0 0.0 1.0 +es 1 13 2030 12000.0 12000.0 0.0 0.0 1.0 +es 1 14 2030 13000.0 13000.0 0.0 0.0 1.0 +es 1 15 2030 14000.0 14000.0 0.0 0.0 1.0 +es 1 16 2030 15000.0 15000.0 0.0 0.0 1.0 +es 1 17 2030 16000.0 16000.0 0.0 0.0 1.0 +es 1 18 2030 17000.0 17000.0 0.0 0.0 1.0 +es 1 19 2030 18000.0 18000.0 0.0 0.0 1.0 +es 1 20 2030 19000.0 19000.0 0.0 0.0 1.0 +es 1 21 2030 20000.0 20000.0 0.0 0.0 1.0 +es 1 22 2030 22000.0 22000.0 0.0 0.0 2.0 +es 1 23 2030 24000.0 24000.0 0.0 0.0 2.0 +es 1 24 2030 26000.0 26000.0 0.0 0.0 2.0 +es 1 25 2030 28000.0 28000.0 0.0 0.0 2.0 +es 1 26 2030 30000.0 30000.0 0.0 0.0 2.0 +es 1 27 2030 32000.0 32000.0 0.0 0.0 2.0 +es 1 28 2030 34000.0 34000.0 0.0 0.0 2.0 +es 1 29 2030 36000.0 36000.0 0.0 0.0 2.0 +es 1 30 2030 38000.0 38000.0 0.0 0.0 2.0 +es 1 31 2030 40000.0 40000.0 0.0 0.0 2.0 +es 1 32 2030 42000.0 42000.0 0.0 0.0 2.0 +es 1 33 2030 44000.0 44000.0 0.0 0.0 2.0 +es 1 34 2030 46000.0 46000.0 0.0 0.0 2.0 +es 1 35 2030 48000.0 48000.0 0.0 0.0 2.0 +es 1 36 2030 50000.0 50000.0 0.0 0.0 2.0 +es 1 37 2030 52000.0 52000.0 0.0 0.0 2.0 +es 1 38 2030 54000.0 54000.0 0.0 0.0 2.0 +es 1 39 2030 56000.0 56000.0 0.0 0.0 2.0 +es 1 40 2030 58000.0 58000.0 0.0 0.0 2.0 +es 1 41 2030 60000.0 60000.0 0.0 0.0 2.0 +es 1 42 2030 63000.0 63000.0 0.0 0.0 3.0 +es 1 43 2030 66000.0 66000.0 0.0 0.0 3.0 +es 1 44 2030 69000.0 69000.0 0.0 0.0 3.0 +es 1 45 2030 72000.0 72000.0 0.0 0.0 3.0 +es 1 46 2030 75000.0 75000.0 0.0 0.0 3.0 +es 1 47 2030 78000.0 78000.0 0.0 0.0 3.0 +es 1 48 2030 81000.0 81000.0 0.0 0.0 3.0 +es 1 49 2030 84000.0 84000.0 0.0 0.0 3.0 +es 1 50 2030 87000.0 87000.0 0.0 0.0 3.0 +es 1 51 2030 90000.0 90000.0 0.0 0.0 3.0 +es 1 52 2030 93000.0 93000.0 0.0 0.0 3.0 +es 1 53 2030 96000.0 96000.0 0.0 0.0 3.0 +es 1 54 2030 99000.0 99000.0 0.0 0.0 3.0 +es 1 55 2030 102000.0 102000.0 0.0 0.0 3.0 +es 1 56 2030 105000.0 105000.0 0.0 0.0 3.0 +es 1 57 2030 108000.0 108000.0 0.0 0.0 3.0 +es 1 58 2030 111000.0 111000.0 0.0 0.0 3.0 +es 1 59 2030 114000.0 114000.0 0.0 0.0 3.0 +es 1 60 2030 117000.0 117000.0 0.0 0.0 3.0 +es 1 61 2030 120000.0 120000.0 0.0 0.0 3.0 +es 1 62 2030 124000.0 124000.0 0.0 0.0 4.0 +es 1 63 2030 128000.0 128000.0 0.0 0.0 4.0 +es 1 64 2030 132000.0 132000.0 0.0 0.0 4.0 +es 1 65 2030 136000.0 136000.0 0.0 0.0 4.0 +es 1 66 2030 140000.0 140000.0 0.0 0.0 4.0 +es 1 67 2030 144000.0 144000.0 0.0 0.0 4.0 +es 1 68 2030 148000.0 148000.0 0.0 0.0 4.0 +es 1 69 2030 152000.0 152000.0 0.0 0.0 4.0 +es 1 70 2030 156000.0 156000.0 0.0 0.0 4.0 +es 1 71 2030 160000.0 160000.0 0.0 0.0 4.0 +es 1 72 2030 164000.0 164000.0 0.0 0.0 4.0 +es 1 73 2030 168000.0 168000.0 0.0 0.0 4.0 +es 1 74 2030 172000.0 172000.0 0.0 0.0 4.0 +es 1 75 2030 176000.0 176000.0 0.0 0.0 4.0 +es 1 76 2030 180000.0 180000.0 0.0 0.0 4.0 +es 1 77 2030 184000.0 184000.0 0.0 0.0 4.0 +es 1 78 2030 188000.0 188000.0 0.0 0.0 4.0 +es 1 79 2030 192000.0 192000.0 0.0 0.0 4.0 +es 1 80 2030 196000.0 196000.0 0.0 0.0 4.0 +es 1 81 2030 200000.0 200000.0 0.0 0.0 4.0 +es 1 82 2030 205000.0 205000.0 0.0 0.0 5.0 +es 1 83 2030 210000.0 210000.0 0.0 0.0 5.0 +es 1 84 2030 215000.0 215000.0 0.0 0.0 5.0 +es 1 85 2030 220000.0 220000.0 0.0 0.0 5.0 +es 1 86 2030 225000.0 225000.0 0.0 0.0 5.0 +es 1 87 2030 230000.0 230000.0 0.0 0.0 5.0 +es 1 88 2030 235000.0 235000.0 0.0 0.0 5.0 +es 1 89 2030 240000.0 240000.0 0.0 0.0 5.0 +es 1 90 2030 245000.0 245000.0 0.0 0.0 5.0 +es 1 91 2030 250000.0 250000.0 0.0 0.0 5.0 +es 1 92 2030 255000.0 255000.0 0.0 0.0 5.0 +es 1 93 2030 260000.0 260000.0 0.0 0.0 5.0 +es 1 94 2030 265000.0 265000.0 0.0 0.0 5.0 +es 1 95 2030 270000.0 270000.0 0.0 0.0 5.0 +es 1 96 2030 275000.0 275000.0 0.0 0.0 5.0 +es 1 97 2030 280000.0 280000.0 0.0 0.0 5.0 +es 1 98 2030 285000.0 285000.0 0.0 0.0 5.0 +es 1 99 2030 290000.0 290000.0 0.0 0.0 5.0 +es 1 100 2030 295000.0 295000.0 0.0 0.0 5.0 +es 1 101 2030 300000.0 300000.0 0.0 0.0 5.0 +es 1 102 2030 306000.0 306000.0 0.0 0.0 6.0 +es 1 103 2030 312000.0 312000.0 0.0 0.0 6.0 +es 1 104 2030 318000.0 318000.0 0.0 0.0 6.0 +es 1 105 2030 324000.0 324000.0 0.0 0.0 6.0 +es 1 106 2030 330000.0 330000.0 0.0 0.0 6.0 +es 1 107 2030 336000.0 336000.0 0.0 0.0 6.0 +es 1 108 2030 342000.0 342000.0 0.0 0.0 6.0 +es 1 109 2030 348000.0 348000.0 0.0 0.0 6.0 +es 1 110 2030 354000.0 354000.0 0.0 0.0 6.0 +es 1 111 2030 360000.0 360000.0 0.0 0.0 6.0 +es 1 112 2030 366000.0 366000.0 0.0 0.0 6.0 +es 1 113 2030 372000.0 372000.0 0.0 0.0 6.0 +es 1 114 2030 378000.0 378000.0 0.0 0.0 6.0 +es 1 115 2030 384000.0 384000.0 0.0 0.0 6.0 +es 1 116 2030 390000.0 390000.0 0.0 0.0 6.0 +es 1 117 2030 396000.0 396000.0 0.0 0.0 6.0 +es 1 118 2030 402000.0 402000.0 0.0 0.0 6.0 +es 1 119 2030 408000.0 408000.0 0.0 0.0 6.0 +es 1 120 2030 414000.0 414000.0 0.0 0.0 6.0 +es 1 121 2030 420000.0 420000.0 0.0 0.0 6.0 +es 1 122 2030 427000.0 427000.0 0.0 0.0 7.0 +es 1 123 2030 434000.0 434000.0 0.0 0.0 7.0 +es 1 124 2030 441000.0 441000.0 0.0 0.0 7.0 +es 1 125 2030 448000.0 448000.0 0.0 0.0 7.0 +es 1 126 2030 455000.0 455000.0 0.0 0.0 7.0 +es 1 127 2030 462000.0 462000.0 0.0 0.0 7.0 +es 1 128 2030 469000.0 469000.0 0.0 0.0 7.0 +es 1 129 2030 476000.0 476000.0 0.0 0.0 7.0 +es 1 130 2030 483000.0 483000.0 0.0 0.0 7.0 +es 1 131 2030 490000.0 490000.0 0.0 0.0 7.0 +es 1 132 2030 497000.0 497000.0 0.0 0.0 7.0 +es 1 133 2030 504000.0 504000.0 0.0 0.0 7.0 +es 1 134 2030 511000.0 511000.0 0.0 0.0 7.0 +es 1 135 2030 518000.0 518000.0 0.0 0.0 7.0 +es 1 136 2030 525000.0 525000.0 0.0 0.0 7.0 +es 1 137 2030 532000.0 532000.0 0.0 0.0 7.0 +es 1 138 2030 539000.0 539000.0 0.0 0.0 7.0 +es 1 139 2030 546000.0 546000.0 0.0 0.0 7.0 +es 1 140 2030 553000.0 553000.0 0.0 0.0 7.0 +es 1 141 2030 560000.0 560000.0 0.0 0.0 7.0 +es 1 142 2030 568000.0 568000.0 0.0 0.0 8.0 +es 1 143 2030 576000.0 576000.0 0.0 0.0 8.0 +es 1 144 2030 584000.0 584000.0 0.0 0.0 8.0 +es 1 145 2030 592000.0 592000.0 0.0 0.0 8.0 +es 1 146 2030 600000.0 600000.0 0.0 0.0 8.0 +es 1 147 2030 608000.0 608000.0 0.0 0.0 8.0 +es 1 148 2030 616000.0 616000.0 0.0 0.0 8.0 +es 1 149 2030 624000.0 624000.0 0.0 0.0 8.0 +es 1 150 2030 632000.0 632000.0 0.0 0.0 8.0 +es 1 151 2030 640000.0 640000.0 0.0 0.0 8.0 +es 1 152 2030 648000.0 648000.0 0.0 0.0 8.0 +es 1 153 2030 656000.0 656000.0 0.0 0.0 8.0 +es 1 154 2030 664000.0 664000.0 0.0 0.0 8.0 +es 1 155 2030 672000.0 672000.0 0.0 0.0 8.0 +es 1 156 2030 680000.0 680000.0 0.0 0.0 8.0 +es 1 157 2030 688000.0 688000.0 0.0 0.0 8.0 +es 1 158 2030 696000.0 696000.0 0.0 0.0 8.0 +es 1 159 2030 704000.0 704000.0 0.0 0.0 8.0 +es 1 160 2030 712000.0 712000.0 0.0 0.0 8.0 +es 1 161 2030 720000.0 720000.0 0.0 0.0 8.0 +es 1 162 2030 729000.0 729000.0 0.0 0.0 9.0 +es 1 163 2030 738000.0 738000.0 0.0 0.0 9.0 +es 1 164 2030 747000.0 747000.0 0.0 0.0 9.0 +es 1 165 2030 756000.0 756000.0 0.0 0.0 9.0 +es 1 166 2030 765000.0 765000.0 0.0 0.0 9.0 +es 1 167 2030 774000.0 774000.0 0.0 0.0 9.0 +es 1 168 2030 783000.0 783000.0 0.0 0.0 9.0 +es 1 169 2030 0.0 0.0 0.0 0.0 0.0 +es 1 170 2030 1000.0 1000.0 0.0 0.0 1.0 +es 1 171 2030 2000.0 2000.0 0.0 0.0 1.0 +es 1 172 2030 3000.0 3000.0 0.0 0.0 1.0 +es 1 173 2030 4000.0 4000.0 0.0 0.0 1.0 +es 1 174 2030 5000.0 5000.0 0.0 0.0 1.0 +es 1 175 2030 6000.0 6000.0 0.0 0.0 1.0 +es 1 176 2030 7000.0 7000.0 0.0 0.0 1.0 +es 1 177 2030 8000.0 8000.0 0.0 0.0 1.0 +es 1 178 2030 9000.0 9000.0 0.0 0.0 1.0 +es 1 179 2030 10000.0 10000.0 0.0 0.0 1.0 +es 1 180 2030 11000.0 11000.0 0.0 0.0 1.0 +es 1 181 2030 12000.0 12000.0 0.0 0.0 1.0 +es 1 182 2030 13000.0 13000.0 0.0 0.0 1.0 +es 1 183 2030 14000.0 14000.0 0.0 0.0 1.0 +es 1 184 2030 15000.0 15000.0 0.0 0.0 1.0 +es 1 185 2030 16000.0 16000.0 0.0 0.0 1.0 +es 1 186 2030 17000.0 17000.0 0.0 0.0 1.0 +es 1 187 2030 18000.0 18000.0 0.0 0.0 1.0 +es 1 188 2030 19000.0 19000.0 0.0 0.0 1.0 +es 1 189 2030 20000.0 20000.0 0.0 0.0 1.0 +es 1 190 2030 22000.0 22000.0 0.0 0.0 2.0 +es 1 191 2030 24000.0 24000.0 0.0 0.0 2.0 +es 1 192 2030 26000.0 26000.0 0.0 0.0 2.0 +es 1 193 2030 28000.0 28000.0 0.0 0.0 2.0 +es 1 194 2030 30000.0 30000.0 0.0 0.0 2.0 +es 1 195 2030 32000.0 32000.0 0.0 0.0 2.0 +es 1 196 2030 34000.0 34000.0 0.0 0.0 2.0 +es 1 197 2030 36000.0 36000.0 0.0 0.0 2.0 +es 1 198 2030 38000.0 38000.0 0.0 0.0 2.0 +es 1 199 2030 40000.0 40000.0 0.0 0.0 2.0 +es 1 200 2030 42000.0 42000.0 0.0 0.0 2.0 +es 1 201 2030 44000.0 44000.0 0.0 0.0 2.0 +es 1 202 2030 46000.0 46000.0 0.0 0.0 2.0 +es 1 203 2030 48000.0 48000.0 0.0 0.0 2.0 +es 1 204 2030 50000.0 50000.0 0.0 0.0 2.0 +es 1 205 2030 52000.0 52000.0 0.0 0.0 2.0 +es 1 206 2030 54000.0 54000.0 0.0 0.0 2.0 +es 1 207 2030 56000.0 56000.0 0.0 0.0 2.0 +es 1 208 2030 58000.0 58000.0 0.0 0.0 2.0 +es 1 209 2030 60000.0 60000.0 0.0 0.0 2.0 +es 1 210 2030 63000.0 63000.0 0.0 0.0 3.0 +es 1 211 2030 66000.0 66000.0 0.0 0.0 3.0 +es 1 212 2030 69000.0 69000.0 0.0 0.0 3.0 +es 1 213 2030 72000.0 72000.0 0.0 0.0 3.0 +es 1 214 2030 75000.0 75000.0 0.0 0.0 3.0 +es 1 215 2030 78000.0 78000.0 0.0 0.0 3.0 +es 1 216 2030 81000.0 81000.0 0.0 0.0 3.0 +es 1 217 2030 84000.0 84000.0 0.0 0.0 3.0 +es 1 218 2030 87000.0 87000.0 0.0 0.0 3.0 +es 1 219 2030 90000.0 90000.0 0.0 0.0 3.0 +es 1 220 2030 93000.0 93000.0 0.0 0.0 3.0 +es 1 221 2030 96000.0 96000.0 0.0 0.0 3.0 +es 1 222 2030 99000.0 99000.0 0.0 0.0 3.0 +es 1 223 2030 102000.0 102000.0 0.0 0.0 3.0 +es 1 224 2030 105000.0 105000.0 0.0 0.0 3.0 +es 1 225 2030 108000.0 108000.0 0.0 0.0 3.0 +es 1 226 2030 111000.0 111000.0 0.0 0.0 3.0 +es 1 227 2030 114000.0 114000.0 0.0 0.0 3.0 +es 1 228 2030 117000.0 117000.0 0.0 0.0 3.0 +es 1 229 2030 120000.0 120000.0 0.0 0.0 3.0 +es 1 230 2030 124000.0 124000.0 0.0 0.0 4.0 +es 1 231 2030 128000.0 128000.0 0.0 0.0 4.0 +es 1 232 2030 132000.0 132000.0 0.0 0.0 4.0 +es 1 233 2030 136000.0 136000.0 0.0 0.0 4.0 +es 1 234 2030 140000.0 140000.0 0.0 0.0 4.0 +es 1 235 2030 144000.0 144000.0 0.0 0.0 4.0 +es 1 236 2030 148000.0 148000.0 0.0 0.0 4.0 +es 1 237 2030 152000.0 152000.0 0.0 0.0 4.0 +es 1 238 2030 156000.0 156000.0 0.0 0.0 4.0 +es 1 239 2030 160000.0 160000.0 0.0 0.0 4.0 +es 1 240 2030 164000.0 164000.0 0.0 0.0 4.0 +es 1 241 2030 168000.0 168000.0 0.0 0.0 4.0 +es 1 242 2030 172000.0 172000.0 0.0 0.0 4.0 +es 1 243 2030 176000.0 176000.0 0.0 0.0 4.0 +es 1 244 2030 180000.0 180000.0 0.0 0.0 4.0 +es 1 245 2030 184000.0 184000.0 0.0 0.0 4.0 +es 1 246 2030 188000.0 188000.0 0.0 0.0 4.0 +es 1 247 2030 192000.0 192000.0 0.0 0.0 4.0 +es 1 248 2030 196000.0 196000.0 0.0 0.0 4.0 +es 1 249 2030 200000.0 200000.0 0.0 0.0 4.0 +es 1 250 2030 205000.0 205000.0 0.0 0.0 5.0 +es 1 251 2030 210000.0 210000.0 0.0 0.0 5.0 +es 1 252 2030 215000.0 215000.0 0.0 0.0 5.0 +es 1 253 2030 220000.0 220000.0 0.0 0.0 5.0 +es 1 254 2030 225000.0 225000.0 0.0 0.0 5.0 +es 1 255 2030 230000.0 230000.0 0.0 0.0 5.0 +es 1 256 2030 235000.0 235000.0 0.0 0.0 5.0 +es 1 257 2030 240000.0 240000.0 0.0 0.0 5.0 +es 1 258 2030 245000.0 245000.0 0.0 0.0 5.0 +es 1 259 2030 250000.0 250000.0 0.0 0.0 5.0 +es 1 260 2030 255000.0 255000.0 0.0 0.0 5.0 +es 1 261 2030 260000.0 260000.0 0.0 0.0 5.0 +es 1 262 2030 265000.0 265000.0 0.0 0.0 5.0 +es 1 263 2030 270000.0 270000.0 0.0 0.0 5.0 +es 1 264 2030 275000.0 275000.0 0.0 0.0 5.0 +es 1 265 2030 280000.0 280000.0 0.0 0.0 5.0 +es 1 266 2030 285000.0 285000.0 0.0 0.0 5.0 +es 1 267 2030 290000.0 290000.0 0.0 0.0 5.0 +es 1 268 2030 295000.0 295000.0 0.0 0.0 5.0 +es 1 269 2030 300000.0 300000.0 0.0 0.0 5.0 +es 1 270 2030 306000.0 306000.0 0.0 0.0 6.0 +es 1 271 2030 312000.0 312000.0 0.0 0.0 6.0 +es 1 272 2030 318000.0 318000.0 0.0 0.0 6.0 +es 1 273 2030 324000.0 324000.0 0.0 0.0 6.0 +es 1 274 2030 330000.0 330000.0 0.0 0.0 6.0 +es 1 275 2030 336000.0 336000.0 0.0 0.0 6.0 +es 1 276 2030 342000.0 342000.0 0.0 0.0 6.0 +es 1 277 2030 348000.0 348000.0 0.0 0.0 6.0 +es 1 278 2030 354000.0 354000.0 0.0 0.0 6.0 +es 1 279 2030 360000.0 360000.0 0.0 0.0 6.0 +es 1 280 2030 366000.0 366000.0 0.0 0.0 6.0 +es 1 281 2030 372000.0 372000.0 0.0 0.0 6.0 +es 1 282 2030 378000.0 378000.0 0.0 0.0 6.0 +es 1 283 2030 384000.0 384000.0 0.0 0.0 6.0 +es 1 284 2030 390000.0 390000.0 0.0 0.0 6.0 +es 1 285 2030 396000.0 396000.0 0.0 0.0 6.0 +es 1 286 2030 402000.0 402000.0 0.0 0.0 6.0 +es 1 287 2030 408000.0 408000.0 0.0 0.0 6.0 +es 1 288 2030 414000.0 414000.0 0.0 0.0 6.0 +es 1 289 2030 420000.0 420000.0 0.0 0.0 6.0 +es 1 290 2030 427000.0 427000.0 0.0 0.0 7.0 +es 1 291 2030 434000.0 434000.0 0.0 0.0 7.0 +es 1 292 2030 441000.0 441000.0 0.0 0.0 7.0 +es 1 293 2030 448000.0 448000.0 0.0 0.0 7.0 +es 1 294 2030 455000.0 455000.0 0.0 0.0 7.0 +es 1 295 2030 462000.0 462000.0 0.0 0.0 7.0 +es 1 296 2030 469000.0 469000.0 0.0 0.0 7.0 +es 1 297 2030 476000.0 476000.0 0.0 0.0 7.0 +es 1 298 2030 483000.0 483000.0 0.0 0.0 7.0 +es 1 299 2030 490000.0 490000.0 0.0 0.0 7.0 +es 1 300 2030 497000.0 497000.0 0.0 0.0 7.0 +es 1 301 2030 504000.0 504000.0 0.0 0.0 7.0 +es 1 302 2030 511000.0 511000.0 0.0 0.0 7.0 +es 1 303 2030 518000.0 518000.0 0.0 0.0 7.0 +es 1 304 2030 525000.0 525000.0 0.0 0.0 7.0 +es 1 305 2030 532000.0 532000.0 0.0 0.0 7.0 +es 1 306 2030 539000.0 539000.0 0.0 0.0 7.0 +es 1 307 2030 546000.0 546000.0 0.0 0.0 7.0 +es 1 308 2030 553000.0 553000.0 0.0 0.0 7.0 +es 1 309 2030 560000.0 560000.0 0.0 0.0 7.0 +es 1 310 2030 568000.0 568000.0 0.0 0.0 8.0 +es 1 311 2030 576000.0 576000.0 0.0 0.0 8.0 +es 1 312 2030 584000.0 584000.0 0.0 0.0 8.0 +es 1 313 2030 592000.0 592000.0 0.0 0.0 8.0 +es 1 314 2030 600000.0 600000.0 0.0 0.0 8.0 +es 1 315 2030 608000.0 608000.0 0.0 0.0 8.0 +es 1 316 2030 616000.0 616000.0 0.0 0.0 8.0 +es 1 317 2030 624000.0 624000.0 0.0 0.0 8.0 +es 1 318 2030 632000.0 632000.0 0.0 0.0 8.0 +es 1 319 2030 640000.0 640000.0 0.0 0.0 8.0 +es 1 320 2030 648000.0 648000.0 0.0 0.0 8.0 +es 1 321 2030 656000.0 656000.0 0.0 0.0 8.0 +es 1 322 2030 664000.0 664000.0 0.0 0.0 8.0 +es 1 323 2030 672000.0 672000.0 0.0 0.0 8.0 +es 1 324 2030 680000.0 680000.0 0.0 0.0 8.0 +es 1 325 2030 688000.0 688000.0 0.0 0.0 8.0 +es 1 326 2030 696000.0 696000.0 0.0 0.0 8.0 +es 1 327 2030 704000.0 704000.0 0.0 0.0 8.0 +es 1 328 2030 712000.0 712000.0 0.0 0.0 8.0 +es 1 329 2030 720000.0 720000.0 0.0 0.0 8.0 +es 1 330 2030 729000.0 729000.0 0.0 0.0 9.0 +es 1 331 2030 738000.0 738000.0 0.0 0.0 9.0 +es 1 332 2030 747000.0 747000.0 0.0 0.0 9.0 +es 1 333 2030 756000.0 756000.0 0.0 0.0 9.0 +es 1 334 2030 765000.0 765000.0 0.0 0.0 9.0 +es 1 335 2030 774000.0 774000.0 0.0 0.0 9.0 +es 1 336 2030 783000.0 783000.0 0.0 0.0 9.0 +fr 1 1 2030 0.0 0.0 0.0 0.0 0.0 +fr 1 2 2030 1000.0 1000.0 0.0 0.0 1.0 +fr 1 3 2030 2000.0 2000.0 0.0 0.0 1.0 +fr 1 4 2030 3000.0 3000.0 0.0 0.0 1.0 +fr 1 5 2030 4000.0 4000.0 0.0 0.0 1.0 +fr 1 6 2030 5000.0 5000.0 0.0 0.0 1.0 +fr 1 7 2030 6000.0 6000.0 0.0 0.0 1.0 +fr 1 8 2030 7000.0 7000.0 0.0 0.0 1.0 +fr 1 9 2030 8000.0 8000.0 0.0 0.0 1.0 +fr 1 10 2030 9000.0 9000.0 0.0 0.0 1.0 +fr 1 11 2030 10000.0 10000.0 0.0 0.0 1.0 +fr 1 12 2030 11000.0 11000.0 0.0 0.0 1.0 +fr 1 13 2030 12000.0 12000.0 0.0 0.0 1.0 +fr 1 14 2030 13000.0 13000.0 0.0 0.0 1.0 +fr 1 15 2030 14000.0 14000.0 0.0 0.0 1.0 +fr 1 16 2030 15000.0 15000.0 0.0 0.0 1.0 +fr 1 17 2030 16000.0 16000.0 0.0 0.0 1.0 +fr 1 18 2030 17000.0 17000.0 0.0 0.0 1.0 +fr 1 19 2030 18000.0 18000.0 0.0 0.0 1.0 +fr 1 20 2030 19000.0 19000.0 0.0 0.0 1.0 +fr 1 21 2030 20000.0 20000.0 0.0 0.0 1.0 +fr 1 22 2030 22000.0 22000.0 0.0 0.0 2.0 +fr 1 23 2030 24000.0 24000.0 0.0 0.0 2.0 +fr 1 24 2030 26000.0 26000.0 0.0 0.0 2.0 +fr 1 25 2030 28000.0 28000.0 0.0 0.0 2.0 +fr 1 26 2030 30000.0 30000.0 0.0 0.0 2.0 +fr 1 27 2030 32000.0 32000.0 0.0 0.0 2.0 +fr 1 28 2030 34000.0 34000.0 0.0 0.0 2.0 +fr 1 29 2030 36000.0 36000.0 0.0 0.0 2.0 +fr 1 30 2030 38000.0 38000.0 0.0 0.0 2.0 +fr 1 31 2030 40000.0 40000.0 0.0 0.0 2.0 +fr 1 32 2030 42000.0 42000.0 0.0 0.0 2.0 +fr 1 33 2030 44000.0 44000.0 0.0 0.0 2.0 +fr 1 34 2030 46000.0 46000.0 0.0 0.0 2.0 +fr 1 35 2030 48000.0 48000.0 0.0 0.0 2.0 +fr 1 36 2030 50000.0 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17000.0 0.0 0.0 1.0 +it 1 19 2030 18000.0 18000.0 0.0 0.0 1.0 +it 1 20 2030 19000.0 19000.0 0.0 0.0 1.0 +it 1 21 2030 20000.0 20000.0 0.0 0.0 1.0 +it 1 22 2030 22000.0 22000.0 0.0 0.0 2.0 +it 1 23 2030 24000.0 24000.0 0.0 0.0 2.0 +it 1 24 2030 26000.0 26000.0 0.0 0.0 2.0 +it 1 25 2030 28000.0 28000.0 0.0 0.0 2.0 +it 1 26 2030 30000.0 30000.0 0.0 0.0 2.0 +it 1 27 2030 32000.0 32000.0 0.0 0.0 2.0 +it 1 28 2030 34000.0 34000.0 0.0 0.0 2.0 +it 1 29 2030 36000.0 36000.0 0.0 0.0 2.0 +it 1 30 2030 38000.0 38000.0 0.0 0.0 2.0 +it 1 31 2030 40000.0 40000.0 0.0 0.0 2.0 +it 1 32 2030 42000.0 42000.0 0.0 0.0 2.0 +it 1 33 2030 44000.0 44000.0 0.0 0.0 2.0 +it 1 34 2030 46000.0 46000.0 0.0 0.0 2.0 +it 1 35 2030 48000.0 48000.0 0.0 0.0 2.0 +it 1 36 2030 50000.0 50000.0 0.0 0.0 2.0 +it 1 37 2030 52000.0 52000.0 0.0 0.0 2.0 +it 1 38 2030 54000.0 54000.0 0.0 0.0 2.0 +it 1 39 2030 56000.0 56000.0 0.0 0.0 2.0 +it 1 40 2030 58000.0 58000.0 0.0 0.0 2.0 +it 1 41 2030 60000.0 60000.0 0.0 0.0 2.0 +it 1 42 2030 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592000.0 592000.0 0.0 0.0 8.0 +it 1 314 2030 600000.0 600000.0 0.0 0.0 8.0 +it 1 315 2030 608000.0 608000.0 0.0 0.0 8.0 +it 1 316 2030 616000.0 616000.0 0.0 0.0 8.0 +it 1 317 2030 624000.0 624000.0 0.0 0.0 8.0 +it 1 318 2030 632000.0 632000.0 0.0 0.0 8.0 +it 1 319 2030 640000.0 640000.0 0.0 0.0 8.0 +it 1 320 2030 648000.0 648000.0 0.0 0.0 8.0 +it 1 321 2030 656000.0 656000.0 0.0 0.0 8.0 +it 1 322 2030 664000.0 664000.0 0.0 0.0 8.0 +it 1 323 2030 672000.0 672000.0 0.0 0.0 8.0 +it 1 324 2030 680000.0 680000.0 0.0 0.0 8.0 +it 1 325 2030 688000.0 688000.0 0.0 0.0 8.0 +it 1 326 2030 696000.0 696000.0 0.0 0.0 8.0 +it 1 327 2030 704000.0 704000.0 0.0 0.0 8.0 +it 1 328 2030 712000.0 712000.0 0.0 0.0 8.0 +it 1 329 2030 720000.0 720000.0 0.0 0.0 8.0 +it 1 330 2030 729000.0 729000.0 0.0 0.0 9.0 +it 1 331 2030 738000.0 738000.0 0.0 0.0 9.0 +it 1 332 2030 747000.0 747000.0 0.0 0.0 9.0 +it 1 333 2030 756000.0 756000.0 0.0 0.0 9.0 +it 1 334 2030 765000.0 765000.0 0.0 0.0 9.0 +it 1 335 2030 774000.0 774000.0 0.0 0.0 9.0 +it 1 336 2030 783000.0 783000.0 0.0 0.0 9.0 +de 2 1 2030 0.0 0.0 0.0 0.0 0.0 +de 2 2 2030 1000.0 1000.0 0.0 0.0 1.0 +de 2 3 2030 2000.0 2000.0 0.0 0.0 1.0 +de 2 4 2030 3000.0 3000.0 0.0 0.0 1.0 +de 2 5 2030 4000.0 4000.0 0.0 0.0 1.0 +de 2 6 2030 5000.0 5000.0 0.0 0.0 1.0 +de 2 7 2030 6000.0 6000.0 0.0 0.0 1.0 +de 2 8 2030 7000.0 7000.0 0.0 0.0 1.0 +de 2 9 2030 8000.0 8000.0 0.0 0.0 1.0 +de 2 10 2030 9000.0 9000.0 0.0 0.0 1.0 +de 2 11 2030 10000.0 10000.0 0.0 0.0 1.0 +de 2 12 2030 11000.0 11000.0 0.0 0.0 1.0 +de 2 13 2030 12000.0 12000.0 0.0 0.0 1.0 +de 2 14 2030 13000.0 13000.0 0.0 0.0 1.0 +de 2 15 2030 14000.0 14000.0 0.0 0.0 1.0 +de 2 16 2030 15000.0 15000.0 0.0 0.0 1.0 +de 2 17 2030 16000.0 16000.0 0.0 0.0 1.0 +de 2 18 2030 17000.0 17000.0 0.0 0.0 1.0 +de 2 19 2030 18000.0 18000.0 0.0 0.0 1.0 +de 2 20 2030 19000.0 19000.0 0.0 0.0 1.0 +de 2 21 2030 20000.0 20000.0 0.0 0.0 1.0 +de 2 22 2030 22000.0 22000.0 0.0 0.0 2.0 +de 2 23 2030 24000.0 24000.0 0.0 0.0 2.0 +de 2 24 2030 26000.0 26000.0 0.0 0.0 2.0 +de 2 25 2030 28000.0 28000.0 0.0 0.0 2.0 +de 2 26 2030 30000.0 30000.0 0.0 0.0 2.0 +de 2 27 2030 32000.0 32000.0 0.0 0.0 2.0 +de 2 28 2030 34000.0 34000.0 0.0 0.0 2.0 +de 2 29 2030 36000.0 36000.0 0.0 0.0 2.0 +de 2 30 2030 38000.0 38000.0 0.0 0.0 2.0 +de 2 31 2030 40000.0 40000.0 0.0 0.0 2.0 +de 2 32 2030 42000.0 42000.0 0.0 0.0 2.0 +de 2 33 2030 44000.0 44000.0 0.0 0.0 2.0 +de 2 34 2030 46000.0 46000.0 0.0 0.0 2.0 +de 2 35 2030 48000.0 48000.0 0.0 0.0 2.0 +de 2 36 2030 50000.0 50000.0 0.0 0.0 2.0 +de 2 37 2030 52000.0 52000.0 0.0 0.0 2.0 +de 2 38 2030 54000.0 54000.0 0.0 0.0 2.0 +de 2 39 2030 56000.0 56000.0 0.0 0.0 2.0 +de 2 40 2030 58000.0 58000.0 0.0 0.0 2.0 +de 2 41 2030 60000.0 60000.0 0.0 0.0 2.0 +de 2 42 2030 63000.0 63000.0 0.0 0.0 3.0 +de 2 43 2030 66000.0 66000.0 0.0 0.0 3.0 +de 2 44 2030 69000.0 69000.0 0.0 0.0 3.0 +de 2 45 2030 72000.0 72000.0 0.0 0.0 3.0 +de 2 46 2030 75000.0 75000.0 0.0 0.0 3.0 +de 2 47 2030 78000.0 78000.0 0.0 0.0 3.0 +de 2 48 2030 81000.0 81000.0 0.0 0.0 3.0 +de 2 49 2030 84000.0 84000.0 0.0 0.0 3.0 +de 2 50 2030 87000.0 87000.0 0.0 0.0 3.0 +de 2 51 2030 90000.0 90000.0 0.0 0.0 3.0 +de 2 52 2030 93000.0 93000.0 0.0 0.0 3.0 +de 2 53 2030 96000.0 96000.0 0.0 0.0 3.0 +de 2 54 2030 99000.0 99000.0 0.0 0.0 3.0 +de 2 55 2030 102000.0 102000.0 0.0 0.0 3.0 +de 2 56 2030 105000.0 105000.0 0.0 0.0 3.0 +de 2 57 2030 108000.0 108000.0 0.0 0.0 3.0 +de 2 58 2030 111000.0 111000.0 0.0 0.0 3.0 +de 2 59 2030 114000.0 114000.0 0.0 0.0 3.0 +de 2 60 2030 117000.0 117000.0 0.0 0.0 3.0 +de 2 61 2030 120000.0 120000.0 0.0 0.0 3.0 +de 2 62 2030 124000.0 124000.0 0.0 0.0 4.0 +de 2 63 2030 128000.0 128000.0 0.0 0.0 4.0 +de 2 64 2030 132000.0 132000.0 0.0 0.0 4.0 +de 2 65 2030 136000.0 136000.0 0.0 0.0 4.0 +de 2 66 2030 140000.0 140000.0 0.0 0.0 4.0 +de 2 67 2030 144000.0 144000.0 0.0 0.0 4.0 +de 2 68 2030 148000.0 148000.0 0.0 0.0 4.0 +de 2 69 2030 152000.0 152000.0 0.0 0.0 4.0 +de 2 70 2030 156000.0 156000.0 0.0 0.0 4.0 +de 2 71 2030 160000.0 160000.0 0.0 0.0 4.0 +de 2 72 2030 164000.0 164000.0 0.0 0.0 4.0 +de 2 73 2030 168000.0 168000.0 0.0 0.0 4.0 +de 2 74 2030 172000.0 172000.0 0.0 0.0 4.0 +de 2 75 2030 176000.0 176000.0 0.0 0.0 4.0 +de 2 76 2030 180000.0 180000.0 0.0 0.0 4.0 +de 2 77 2030 184000.0 184000.0 0.0 0.0 4.0 +de 2 78 2030 188000.0 188000.0 0.0 0.0 4.0 +de 2 79 2030 192000.0 192000.0 0.0 0.0 4.0 +de 2 80 2030 196000.0 196000.0 0.0 0.0 4.0 +de 2 81 2030 200000.0 200000.0 0.0 0.0 4.0 +de 2 82 2030 205000.0 205000.0 0.0 0.0 5.0 +de 2 83 2030 210000.0 210000.0 0.0 0.0 5.0 +de 2 84 2030 215000.0 215000.0 0.0 0.0 5.0 +de 2 85 2030 220000.0 220000.0 0.0 0.0 5.0 +de 2 86 2030 225000.0 225000.0 0.0 0.0 5.0 +de 2 87 2030 230000.0 230000.0 0.0 0.0 5.0 +de 2 88 2030 235000.0 235000.0 0.0 0.0 5.0 +de 2 89 2030 240000.0 240000.0 0.0 0.0 5.0 +de 2 90 2030 245000.0 245000.0 0.0 0.0 5.0 +de 2 91 2030 250000.0 250000.0 0.0 0.0 5.0 +de 2 92 2030 255000.0 255000.0 0.0 0.0 5.0 +de 2 93 2030 260000.0 260000.0 0.0 0.0 5.0 +de 2 94 2030 265000.0 265000.0 0.0 0.0 5.0 +de 2 95 2030 270000.0 270000.0 0.0 0.0 5.0 +de 2 96 2030 275000.0 275000.0 0.0 0.0 5.0 +de 2 97 2030 280000.0 280000.0 0.0 0.0 5.0 +de 2 98 2030 285000.0 285000.0 0.0 0.0 5.0 +de 2 99 2030 290000.0 290000.0 0.0 0.0 5.0 +de 2 100 2030 295000.0 295000.0 0.0 0.0 5.0 +de 2 101 2030 300000.0 300000.0 0.0 0.0 5.0 +de 2 102 2030 306000.0 306000.0 0.0 0.0 6.0 +de 2 103 2030 312000.0 312000.0 0.0 0.0 6.0 +de 2 104 2030 318000.0 318000.0 0.0 0.0 6.0 +de 2 105 2030 324000.0 324000.0 0.0 0.0 6.0 +de 2 106 2030 330000.0 330000.0 0.0 0.0 6.0 +de 2 107 2030 336000.0 336000.0 0.0 0.0 6.0 +de 2 108 2030 342000.0 342000.0 0.0 0.0 6.0 +de 2 109 2030 348000.0 348000.0 0.0 0.0 6.0 +de 2 110 2030 354000.0 354000.0 0.0 0.0 6.0 +de 2 111 2030 360000.0 360000.0 0.0 0.0 6.0 +de 2 112 2030 366000.0 366000.0 0.0 0.0 6.0 +de 2 113 2030 372000.0 372000.0 0.0 0.0 6.0 +de 2 114 2030 378000.0 378000.0 0.0 0.0 6.0 +de 2 115 2030 384000.0 384000.0 0.0 0.0 6.0 +de 2 116 2030 390000.0 390000.0 0.0 0.0 6.0 +de 2 117 2030 396000.0 396000.0 0.0 0.0 6.0 +de 2 118 2030 402000.0 402000.0 0.0 0.0 6.0 +de 2 119 2030 408000.0 408000.0 0.0 0.0 6.0 +de 2 120 2030 414000.0 414000.0 0.0 0.0 6.0 +de 2 121 2030 420000.0 420000.0 0.0 0.0 6.0 +de 2 122 2030 427000.0 427000.0 0.0 0.0 7.0 +de 2 123 2030 434000.0 434000.0 0.0 0.0 7.0 +de 2 124 2030 441000.0 441000.0 0.0 0.0 7.0 +de 2 125 2030 448000.0 448000.0 0.0 0.0 7.0 +de 2 126 2030 455000.0 455000.0 0.0 0.0 7.0 +de 2 127 2030 462000.0 462000.0 0.0 0.0 7.0 +de 2 128 2030 469000.0 469000.0 0.0 0.0 7.0 +de 2 129 2030 476000.0 476000.0 0.0 0.0 7.0 +de 2 130 2030 483000.0 483000.0 0.0 0.0 7.0 +de 2 131 2030 490000.0 490000.0 0.0 0.0 7.0 +de 2 132 2030 497000.0 497000.0 0.0 0.0 7.0 +de 2 133 2030 504000.0 504000.0 0.0 0.0 7.0 +de 2 134 2030 511000.0 511000.0 0.0 0.0 7.0 +de 2 135 2030 518000.0 518000.0 0.0 0.0 7.0 +de 2 136 2030 525000.0 525000.0 0.0 0.0 7.0 +de 2 137 2030 532000.0 532000.0 0.0 0.0 7.0 +de 2 138 2030 539000.0 539000.0 0.0 0.0 7.0 +de 2 139 2030 546000.0 546000.0 0.0 0.0 7.0 +de 2 140 2030 553000.0 553000.0 0.0 0.0 7.0 +de 2 141 2030 560000.0 560000.0 0.0 0.0 7.0 +de 2 142 2030 568000.0 568000.0 0.0 0.0 8.0 +de 2 143 2030 576000.0 576000.0 0.0 0.0 8.0 +de 2 144 2030 584000.0 584000.0 0.0 0.0 8.0 +de 2 145 2030 592000.0 592000.0 0.0 0.0 8.0 +de 2 146 2030 600000.0 600000.0 0.0 0.0 8.0 +de 2 147 2030 608000.0 608000.0 0.0 0.0 8.0 +de 2 148 2030 616000.0 616000.0 0.0 0.0 8.0 +de 2 149 2030 624000.0 624000.0 0.0 0.0 8.0 +de 2 150 2030 632000.0 632000.0 0.0 0.0 8.0 +de 2 151 2030 640000.0 640000.0 0.0 0.0 8.0 +de 2 152 2030 648000.0 648000.0 0.0 0.0 8.0 +de 2 153 2030 656000.0 656000.0 0.0 0.0 8.0 +de 2 154 2030 664000.0 664000.0 0.0 0.0 8.0 +de 2 155 2030 672000.0 672000.0 0.0 0.0 8.0 +de 2 156 2030 680000.0 680000.0 0.0 0.0 8.0 +de 2 157 2030 688000.0 688000.0 0.0 0.0 8.0 +de 2 158 2030 696000.0 696000.0 0.0 0.0 8.0 +de 2 159 2030 704000.0 704000.0 0.0 0.0 8.0 +de 2 160 2030 712000.0 712000.0 0.0 0.0 8.0 +de 2 161 2030 720000.0 720000.0 0.0 0.0 8.0 +de 2 162 2030 729000.0 729000.0 0.0 0.0 9.0 +de 2 163 2030 738000.0 738000.0 0.0 0.0 9.0 +de 2 164 2030 747000.0 747000.0 0.0 0.0 9.0 +de 2 165 2030 756000.0 756000.0 0.0 0.0 9.0 +de 2 166 2030 765000.0 765000.0 0.0 0.0 9.0 +de 2 167 2030 774000.0 774000.0 0.0 0.0 9.0 +de 2 168 2030 783000.0 783000.0 0.0 0.0 9.0 +de 2 169 2030 0.0 0.0 0.0 0.0 0.0 +de 2 170 2030 1000.0 1000.0 0.0 0.0 1.0 +de 2 171 2030 2000.0 2000.0 0.0 0.0 1.0 +de 2 172 2030 3000.0 3000.0 0.0 0.0 1.0 +de 2 173 2030 4000.0 4000.0 0.0 0.0 1.0 +de 2 174 2030 5000.0 5000.0 0.0 0.0 1.0 +de 2 175 2030 6000.0 6000.0 0.0 0.0 1.0 +de 2 176 2030 7000.0 7000.0 0.0 0.0 1.0 +de 2 177 2030 8000.0 8000.0 0.0 0.0 1.0 +de 2 178 2030 9000.0 9000.0 0.0 0.0 1.0 +de 2 179 2030 10000.0 10000.0 0.0 0.0 1.0 +de 2 180 2030 11000.0 11000.0 0.0 0.0 1.0 +de 2 181 2030 12000.0 12000.0 0.0 0.0 1.0 +de 2 182 2030 13000.0 13000.0 0.0 0.0 1.0 +de 2 183 2030 14000.0 14000.0 0.0 0.0 1.0 +de 2 184 2030 15000.0 15000.0 0.0 0.0 1.0 +de 2 185 2030 16000.0 16000.0 0.0 0.0 1.0 +de 2 186 2030 17000.0 17000.0 0.0 0.0 1.0 +de 2 187 2030 18000.0 18000.0 0.0 0.0 1.0 +de 2 188 2030 19000.0 19000.0 0.0 0.0 1.0 +de 2 189 2030 20000.0 20000.0 0.0 0.0 1.0 +de 2 190 2030 22000.0 22000.0 0.0 0.0 2.0 +de 2 191 2030 24000.0 24000.0 0.0 0.0 2.0 +de 2 192 2030 26000.0 26000.0 0.0 0.0 2.0 +de 2 193 2030 28000.0 28000.0 0.0 0.0 2.0 +de 2 194 2030 30000.0 30000.0 0.0 0.0 2.0 +de 2 195 2030 32000.0 32000.0 0.0 0.0 2.0 +de 2 196 2030 34000.0 34000.0 0.0 0.0 2.0 +de 2 197 2030 36000.0 36000.0 0.0 0.0 2.0 +de 2 198 2030 38000.0 38000.0 0.0 0.0 2.0 +de 2 199 2030 40000.0 40000.0 0.0 0.0 2.0 +de 2 200 2030 42000.0 42000.0 0.0 0.0 2.0 +de 2 201 2030 44000.0 44000.0 0.0 0.0 2.0 +de 2 202 2030 46000.0 46000.0 0.0 0.0 2.0 +de 2 203 2030 48000.0 48000.0 0.0 0.0 2.0 +de 2 204 2030 50000.0 50000.0 0.0 0.0 2.0 +de 2 205 2030 52000.0 52000.0 0.0 0.0 2.0 +de 2 206 2030 54000.0 54000.0 0.0 0.0 2.0 +de 2 207 2030 56000.0 56000.0 0.0 0.0 2.0 +de 2 208 2030 58000.0 58000.0 0.0 0.0 2.0 +de 2 209 2030 60000.0 60000.0 0.0 0.0 2.0 +de 2 210 2030 63000.0 63000.0 0.0 0.0 3.0 +de 2 211 2030 66000.0 66000.0 0.0 0.0 3.0 +de 2 212 2030 69000.0 69000.0 0.0 0.0 3.0 +de 2 213 2030 72000.0 72000.0 0.0 0.0 3.0 +de 2 214 2030 75000.0 75000.0 0.0 0.0 3.0 +de 2 215 2030 78000.0 78000.0 0.0 0.0 3.0 +de 2 216 2030 81000.0 81000.0 0.0 0.0 3.0 +de 2 217 2030 84000.0 84000.0 0.0 0.0 3.0 +de 2 218 2030 87000.0 87000.0 0.0 0.0 3.0 +de 2 219 2030 90000.0 90000.0 0.0 0.0 3.0 +de 2 220 2030 93000.0 93000.0 0.0 0.0 3.0 +de 2 221 2030 96000.0 96000.0 0.0 0.0 3.0 +de 2 222 2030 99000.0 99000.0 0.0 0.0 3.0 +de 2 223 2030 102000.0 102000.0 0.0 0.0 3.0 +de 2 224 2030 105000.0 105000.0 0.0 0.0 3.0 +de 2 225 2030 108000.0 108000.0 0.0 0.0 3.0 +de 2 226 2030 111000.0 111000.0 0.0 0.0 3.0 +de 2 227 2030 114000.0 114000.0 0.0 0.0 3.0 +de 2 228 2030 117000.0 117000.0 0.0 0.0 3.0 +de 2 229 2030 120000.0 120000.0 0.0 0.0 3.0 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2030 215000.0 215000.0 0.0 0.0 5.0 +de 2 253 2030 220000.0 220000.0 0.0 0.0 5.0 +de 2 254 2030 225000.0 225000.0 0.0 0.0 5.0 +de 2 255 2030 230000.0 230000.0 0.0 0.0 5.0 +de 2 256 2030 235000.0 235000.0 0.0 0.0 5.0 +de 2 257 2030 240000.0 240000.0 0.0 0.0 5.0 +de 2 258 2030 245000.0 245000.0 0.0 0.0 5.0 +de 2 259 2030 250000.0 250000.0 0.0 0.0 5.0 +de 2 260 2030 255000.0 255000.0 0.0 0.0 5.0 +de 2 261 2030 260000.0 260000.0 0.0 0.0 5.0 +de 2 262 2030 265000.0 265000.0 0.0 0.0 5.0 +de 2 263 2030 270000.0 270000.0 0.0 0.0 5.0 +de 2 264 2030 275000.0 275000.0 0.0 0.0 5.0 +de 2 265 2030 280000.0 280000.0 0.0 0.0 5.0 +de 2 266 2030 285000.0 285000.0 0.0 0.0 5.0 +de 2 267 2030 290000.0 290000.0 0.0 0.0 5.0 +de 2 268 2030 295000.0 295000.0 0.0 0.0 5.0 +de 2 269 2030 300000.0 300000.0 0.0 0.0 5.0 +de 2 270 2030 306000.0 306000.0 0.0 0.0 6.0 +de 2 271 2030 312000.0 312000.0 0.0 0.0 6.0 +de 2 272 2030 318000.0 318000.0 0.0 0.0 6.0 +de 2 273 2030 324000.0 324000.0 0.0 0.0 6.0 +de 2 274 2030 330000.0 330000.0 0.0 0.0 6.0 +de 2 275 2030 336000.0 336000.0 0.0 0.0 6.0 +de 2 276 2030 342000.0 342000.0 0.0 0.0 6.0 +de 2 277 2030 348000.0 348000.0 0.0 0.0 6.0 +de 2 278 2030 354000.0 354000.0 0.0 0.0 6.0 +de 2 279 2030 360000.0 360000.0 0.0 0.0 6.0 +de 2 280 2030 366000.0 366000.0 0.0 0.0 6.0 +de 2 281 2030 372000.0 372000.0 0.0 0.0 6.0 +de 2 282 2030 378000.0 378000.0 0.0 0.0 6.0 +de 2 283 2030 384000.0 384000.0 0.0 0.0 6.0 +de 2 284 2030 390000.0 390000.0 0.0 0.0 6.0 +de 2 285 2030 396000.0 396000.0 0.0 0.0 6.0 +de 2 286 2030 402000.0 402000.0 0.0 0.0 6.0 +de 2 287 2030 408000.0 408000.0 0.0 0.0 6.0 +de 2 288 2030 414000.0 414000.0 0.0 0.0 6.0 +de 2 289 2030 420000.0 420000.0 0.0 0.0 6.0 +de 2 290 2030 427000.0 427000.0 0.0 0.0 7.0 +de 2 291 2030 434000.0 434000.0 0.0 0.0 7.0 +de 2 292 2030 441000.0 441000.0 0.0 0.0 7.0 +de 2 293 2030 448000.0 448000.0 0.0 0.0 7.0 +de 2 294 2030 455000.0 455000.0 0.0 0.0 7.0 +de 2 295 2030 462000.0 462000.0 0.0 0.0 7.0 +de 2 296 2030 469000.0 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0.0 0.0 8.0 +de 2 319 2030 640000.0 640000.0 0.0 0.0 8.0 +de 2 320 2030 648000.0 648000.0 0.0 0.0 8.0 +de 2 321 2030 656000.0 656000.0 0.0 0.0 8.0 +de 2 322 2030 664000.0 664000.0 0.0 0.0 8.0 +de 2 323 2030 672000.0 672000.0 0.0 0.0 8.0 +de 2 324 2030 680000.0 680000.0 0.0 0.0 8.0 +de 2 325 2030 688000.0 688000.0 0.0 0.0 8.0 +de 2 326 2030 696000.0 696000.0 0.0 0.0 8.0 +de 2 327 2030 704000.0 704000.0 0.0 0.0 8.0 +de 2 328 2030 712000.0 712000.0 0.0 0.0 8.0 +de 2 329 2030 720000.0 720000.0 0.0 0.0 8.0 +de 2 330 2030 729000.0 729000.0 0.0 0.0 9.0 +de 2 331 2030 738000.0 738000.0 0.0 0.0 9.0 +de 2 332 2030 747000.0 747000.0 0.0 0.0 9.0 +de 2 333 2030 756000.0 756000.0 0.0 0.0 9.0 +de 2 334 2030 765000.0 765000.0 0.0 0.0 9.0 +de 2 335 2030 774000.0 774000.0 0.0 0.0 9.0 +de 2 336 2030 783000.0 783000.0 0.0 0.0 9.0 +es 2 1 2030 0.0 0.0 0.0 0.0 0.0 +es 2 2 2030 1000.0 1000.0 0.0 0.0 1.0 +es 2 3 2030 2000.0 2000.0 0.0 0.0 1.0 +es 2 4 2030 3000.0 3000.0 0.0 0.0 1.0 +es 2 5 2030 4000.0 4000.0 0.0 0.0 1.0 +es 2 6 2030 5000.0 5000.0 0.0 0.0 1.0 +es 2 7 2030 6000.0 6000.0 0.0 0.0 1.0 +es 2 8 2030 7000.0 7000.0 0.0 0.0 1.0 +es 2 9 2030 8000.0 8000.0 0.0 0.0 1.0 +es 2 10 2030 9000.0 9000.0 0.0 0.0 1.0 +es 2 11 2030 10000.0 10000.0 0.0 0.0 1.0 +es 2 12 2030 11000.0 11000.0 0.0 0.0 1.0 +es 2 13 2030 12000.0 12000.0 0.0 0.0 1.0 +es 2 14 2030 13000.0 13000.0 0.0 0.0 1.0 +es 2 15 2030 14000.0 14000.0 0.0 0.0 1.0 +es 2 16 2030 15000.0 15000.0 0.0 0.0 1.0 +es 2 17 2030 16000.0 16000.0 0.0 0.0 1.0 +es 2 18 2030 17000.0 17000.0 0.0 0.0 1.0 +es 2 19 2030 18000.0 18000.0 0.0 0.0 1.0 +es 2 20 2030 19000.0 19000.0 0.0 0.0 1.0 +es 2 21 2030 20000.0 20000.0 0.0 0.0 1.0 +es 2 22 2030 22000.0 22000.0 0.0 0.0 2.0 +es 2 23 2030 24000.0 24000.0 0.0 0.0 2.0 +es 2 24 2030 26000.0 26000.0 0.0 0.0 2.0 +es 2 25 2030 28000.0 28000.0 0.0 0.0 2.0 +es 2 26 2030 30000.0 30000.0 0.0 0.0 2.0 +es 2 27 2030 32000.0 32000.0 0.0 0.0 2.0 +es 2 28 2030 34000.0 34000.0 0.0 0.0 2.0 +es 2 29 2030 36000.0 36000.0 0.0 0.0 2.0 +es 2 30 2030 38000.0 38000.0 0.0 0.0 2.0 +es 2 31 2030 40000.0 40000.0 0.0 0.0 2.0 +es 2 32 2030 42000.0 42000.0 0.0 0.0 2.0 +es 2 33 2030 44000.0 44000.0 0.0 0.0 2.0 +es 2 34 2030 46000.0 46000.0 0.0 0.0 2.0 +es 2 35 2030 48000.0 48000.0 0.0 0.0 2.0 +es 2 36 2030 50000.0 50000.0 0.0 0.0 2.0 +es 2 37 2030 52000.0 52000.0 0.0 0.0 2.0 +es 2 38 2030 54000.0 54000.0 0.0 0.0 2.0 +es 2 39 2030 56000.0 56000.0 0.0 0.0 2.0 +es 2 40 2030 58000.0 58000.0 0.0 0.0 2.0 +es 2 41 2030 60000.0 60000.0 0.0 0.0 2.0 +es 2 42 2030 63000.0 63000.0 0.0 0.0 3.0 +es 2 43 2030 66000.0 66000.0 0.0 0.0 3.0 +es 2 44 2030 69000.0 69000.0 0.0 0.0 3.0 +es 2 45 2030 72000.0 72000.0 0.0 0.0 3.0 +es 2 46 2030 75000.0 75000.0 0.0 0.0 3.0 +es 2 47 2030 78000.0 78000.0 0.0 0.0 3.0 +es 2 48 2030 81000.0 81000.0 0.0 0.0 3.0 +es 2 49 2030 84000.0 84000.0 0.0 0.0 3.0 +es 2 50 2030 87000.0 87000.0 0.0 0.0 3.0 +es 2 51 2030 90000.0 90000.0 0.0 0.0 3.0 +es 2 52 2030 93000.0 93000.0 0.0 0.0 3.0 +es 2 53 2030 96000.0 96000.0 0.0 0.0 3.0 +es 2 54 2030 99000.0 99000.0 0.0 0.0 3.0 +es 2 55 2030 102000.0 102000.0 0.0 0.0 3.0 +es 2 56 2030 105000.0 105000.0 0.0 0.0 3.0 +es 2 57 2030 108000.0 108000.0 0.0 0.0 3.0 +es 2 58 2030 111000.0 111000.0 0.0 0.0 3.0 +es 2 59 2030 114000.0 114000.0 0.0 0.0 3.0 +es 2 60 2030 117000.0 117000.0 0.0 0.0 3.0 +es 2 61 2030 120000.0 120000.0 0.0 0.0 3.0 +es 2 62 2030 124000.0 124000.0 0.0 0.0 4.0 +es 2 63 2030 128000.0 128000.0 0.0 0.0 4.0 +es 2 64 2030 132000.0 132000.0 0.0 0.0 4.0 +es 2 65 2030 136000.0 136000.0 0.0 0.0 4.0 +es 2 66 2030 140000.0 140000.0 0.0 0.0 4.0 +es 2 67 2030 144000.0 144000.0 0.0 0.0 4.0 +es 2 68 2030 148000.0 148000.0 0.0 0.0 4.0 +es 2 69 2030 152000.0 152000.0 0.0 0.0 4.0 +es 2 70 2030 156000.0 156000.0 0.0 0.0 4.0 +es 2 71 2030 160000.0 160000.0 0.0 0.0 4.0 +es 2 72 2030 164000.0 164000.0 0.0 0.0 4.0 +es 2 73 2030 168000.0 168000.0 0.0 0.0 4.0 +es 2 74 2030 172000.0 172000.0 0.0 0.0 4.0 +es 2 75 2030 176000.0 176000.0 0.0 0.0 4.0 +es 2 76 2030 180000.0 180000.0 0.0 0.0 4.0 +es 2 77 2030 184000.0 184000.0 0.0 0.0 4.0 +es 2 78 2030 188000.0 188000.0 0.0 0.0 4.0 +es 2 79 2030 192000.0 192000.0 0.0 0.0 4.0 +es 2 80 2030 196000.0 196000.0 0.0 0.0 4.0 +es 2 81 2030 200000.0 200000.0 0.0 0.0 4.0 +es 2 82 2030 205000.0 205000.0 0.0 0.0 5.0 +es 2 83 2030 210000.0 210000.0 0.0 0.0 5.0 +es 2 84 2030 215000.0 215000.0 0.0 0.0 5.0 +es 2 85 2030 220000.0 220000.0 0.0 0.0 5.0 +es 2 86 2030 225000.0 225000.0 0.0 0.0 5.0 +es 2 87 2030 230000.0 230000.0 0.0 0.0 5.0 +es 2 88 2030 235000.0 235000.0 0.0 0.0 5.0 +es 2 89 2030 240000.0 240000.0 0.0 0.0 5.0 +es 2 90 2030 245000.0 245000.0 0.0 0.0 5.0 +es 2 91 2030 250000.0 250000.0 0.0 0.0 5.0 +es 2 92 2030 255000.0 255000.0 0.0 0.0 5.0 +es 2 93 2030 260000.0 260000.0 0.0 0.0 5.0 +es 2 94 2030 265000.0 265000.0 0.0 0.0 5.0 +es 2 95 2030 270000.0 270000.0 0.0 0.0 5.0 +es 2 96 2030 275000.0 275000.0 0.0 0.0 5.0 +es 2 97 2030 280000.0 280000.0 0.0 0.0 5.0 +es 2 98 2030 285000.0 285000.0 0.0 0.0 5.0 +es 2 99 2030 290000.0 290000.0 0.0 0.0 5.0 +es 2 100 2030 295000.0 295000.0 0.0 0.0 5.0 +es 2 101 2030 300000.0 300000.0 0.0 0.0 5.0 +es 2 102 2030 306000.0 306000.0 0.0 0.0 6.0 +es 2 103 2030 312000.0 312000.0 0.0 0.0 6.0 +es 2 104 2030 318000.0 318000.0 0.0 0.0 6.0 +es 2 105 2030 324000.0 324000.0 0.0 0.0 6.0 +es 2 106 2030 330000.0 330000.0 0.0 0.0 6.0 +es 2 107 2030 336000.0 336000.0 0.0 0.0 6.0 +es 2 108 2030 342000.0 342000.0 0.0 0.0 6.0 +es 2 109 2030 348000.0 348000.0 0.0 0.0 6.0 +es 2 110 2030 354000.0 354000.0 0.0 0.0 6.0 +es 2 111 2030 360000.0 360000.0 0.0 0.0 6.0 +es 2 112 2030 366000.0 366000.0 0.0 0.0 6.0 +es 2 113 2030 372000.0 372000.0 0.0 0.0 6.0 +es 2 114 2030 378000.0 378000.0 0.0 0.0 6.0 +es 2 115 2030 384000.0 384000.0 0.0 0.0 6.0 +es 2 116 2030 390000.0 390000.0 0.0 0.0 6.0 +es 2 117 2030 396000.0 396000.0 0.0 0.0 6.0 +es 2 118 2030 402000.0 402000.0 0.0 0.0 6.0 +es 2 119 2030 408000.0 408000.0 0.0 0.0 6.0 +es 2 120 2030 414000.0 414000.0 0.0 0.0 6.0 +es 2 121 2030 420000.0 420000.0 0.0 0.0 6.0 +es 2 122 2030 427000.0 427000.0 0.0 0.0 7.0 +es 2 123 2030 434000.0 434000.0 0.0 0.0 7.0 +es 2 124 2030 441000.0 441000.0 0.0 0.0 7.0 +es 2 125 2030 448000.0 448000.0 0.0 0.0 7.0 +es 2 126 2030 455000.0 455000.0 0.0 0.0 7.0 +es 2 127 2030 462000.0 462000.0 0.0 0.0 7.0 +es 2 128 2030 469000.0 469000.0 0.0 0.0 7.0 +es 2 129 2030 476000.0 476000.0 0.0 0.0 7.0 +es 2 130 2030 483000.0 483000.0 0.0 0.0 7.0 +es 2 131 2030 490000.0 490000.0 0.0 0.0 7.0 +es 2 132 2030 497000.0 497000.0 0.0 0.0 7.0 +es 2 133 2030 504000.0 504000.0 0.0 0.0 7.0 +es 2 134 2030 511000.0 511000.0 0.0 0.0 7.0 +es 2 135 2030 518000.0 518000.0 0.0 0.0 7.0 +es 2 136 2030 525000.0 525000.0 0.0 0.0 7.0 +es 2 137 2030 532000.0 532000.0 0.0 0.0 7.0 +es 2 138 2030 539000.0 539000.0 0.0 0.0 7.0 +es 2 139 2030 546000.0 546000.0 0.0 0.0 7.0 +es 2 140 2030 553000.0 553000.0 0.0 0.0 7.0 +es 2 141 2030 560000.0 560000.0 0.0 0.0 7.0 +es 2 142 2030 568000.0 568000.0 0.0 0.0 8.0 +es 2 143 2030 576000.0 576000.0 0.0 0.0 8.0 +es 2 144 2030 584000.0 584000.0 0.0 0.0 8.0 +es 2 145 2030 592000.0 592000.0 0.0 0.0 8.0 +es 2 146 2030 600000.0 600000.0 0.0 0.0 8.0 +es 2 147 2030 608000.0 608000.0 0.0 0.0 8.0 +es 2 148 2030 616000.0 616000.0 0.0 0.0 8.0 +es 2 149 2030 624000.0 624000.0 0.0 0.0 8.0 +es 2 150 2030 632000.0 632000.0 0.0 0.0 8.0 +es 2 151 2030 640000.0 640000.0 0.0 0.0 8.0 +es 2 152 2030 648000.0 648000.0 0.0 0.0 8.0 +es 2 153 2030 656000.0 656000.0 0.0 0.0 8.0 +es 2 154 2030 664000.0 664000.0 0.0 0.0 8.0 +es 2 155 2030 672000.0 672000.0 0.0 0.0 8.0 +es 2 156 2030 680000.0 680000.0 0.0 0.0 8.0 +es 2 157 2030 688000.0 688000.0 0.0 0.0 8.0 +es 2 158 2030 696000.0 696000.0 0.0 0.0 8.0 +es 2 159 2030 704000.0 704000.0 0.0 0.0 8.0 +es 2 160 2030 712000.0 712000.0 0.0 0.0 8.0 +es 2 161 2030 720000.0 720000.0 0.0 0.0 8.0 +es 2 162 2030 729000.0 729000.0 0.0 0.0 9.0 +es 2 163 2030 738000.0 738000.0 0.0 0.0 9.0 +es 2 164 2030 747000.0 747000.0 0.0 0.0 9.0 +es 2 165 2030 756000.0 756000.0 0.0 0.0 9.0 +es 2 166 2030 765000.0 765000.0 0.0 0.0 9.0 +es 2 167 2030 774000.0 774000.0 0.0 0.0 9.0 +es 2 168 2030 783000.0 783000.0 0.0 0.0 9.0 +es 2 169 2030 0.0 0.0 0.0 0.0 0.0 +es 2 170 2030 1000.0 1000.0 0.0 0.0 1.0 +es 2 171 2030 2000.0 2000.0 0.0 0.0 1.0 +es 2 172 2030 3000.0 3000.0 0.0 0.0 1.0 +es 2 173 2030 4000.0 4000.0 0.0 0.0 1.0 +es 2 174 2030 5000.0 5000.0 0.0 0.0 1.0 +es 2 175 2030 6000.0 6000.0 0.0 0.0 1.0 +es 2 176 2030 7000.0 7000.0 0.0 0.0 1.0 +es 2 177 2030 8000.0 8000.0 0.0 0.0 1.0 +es 2 178 2030 9000.0 9000.0 0.0 0.0 1.0 +es 2 179 2030 10000.0 10000.0 0.0 0.0 1.0 +es 2 180 2030 11000.0 11000.0 0.0 0.0 1.0 +es 2 181 2030 12000.0 12000.0 0.0 0.0 1.0 +es 2 182 2030 13000.0 13000.0 0.0 0.0 1.0 +es 2 183 2030 14000.0 14000.0 0.0 0.0 1.0 +es 2 184 2030 15000.0 15000.0 0.0 0.0 1.0 +es 2 185 2030 16000.0 16000.0 0.0 0.0 1.0 +es 2 186 2030 17000.0 17000.0 0.0 0.0 1.0 +es 2 187 2030 18000.0 18000.0 0.0 0.0 1.0 +es 2 188 2030 19000.0 19000.0 0.0 0.0 1.0 +es 2 189 2030 20000.0 20000.0 0.0 0.0 1.0 +es 2 190 2030 22000.0 22000.0 0.0 0.0 2.0 +es 2 191 2030 24000.0 24000.0 0.0 0.0 2.0 +es 2 192 2030 26000.0 26000.0 0.0 0.0 2.0 +es 2 193 2030 28000.0 28000.0 0.0 0.0 2.0 +es 2 194 2030 30000.0 30000.0 0.0 0.0 2.0 +es 2 195 2030 32000.0 32000.0 0.0 0.0 2.0 +es 2 196 2030 34000.0 34000.0 0.0 0.0 2.0 +es 2 197 2030 36000.0 36000.0 0.0 0.0 2.0 +es 2 198 2030 38000.0 38000.0 0.0 0.0 2.0 +es 2 199 2030 40000.0 40000.0 0.0 0.0 2.0 +es 2 200 2030 42000.0 42000.0 0.0 0.0 2.0 +es 2 201 2030 44000.0 44000.0 0.0 0.0 2.0 +es 2 202 2030 46000.0 46000.0 0.0 0.0 2.0 +es 2 203 2030 48000.0 48000.0 0.0 0.0 2.0 +es 2 204 2030 50000.0 50000.0 0.0 0.0 2.0 +es 2 205 2030 52000.0 52000.0 0.0 0.0 2.0 +es 2 206 2030 54000.0 54000.0 0.0 0.0 2.0 +es 2 207 2030 56000.0 56000.0 0.0 0.0 2.0 +es 2 208 2030 58000.0 58000.0 0.0 0.0 2.0 +es 2 209 2030 60000.0 60000.0 0.0 0.0 2.0 +es 2 210 2030 63000.0 63000.0 0.0 0.0 3.0 +es 2 211 2030 66000.0 66000.0 0.0 0.0 3.0 +es 2 212 2030 69000.0 69000.0 0.0 0.0 3.0 +es 2 213 2030 72000.0 72000.0 0.0 0.0 3.0 +es 2 214 2030 75000.0 75000.0 0.0 0.0 3.0 +es 2 215 2030 78000.0 78000.0 0.0 0.0 3.0 +es 2 216 2030 81000.0 81000.0 0.0 0.0 3.0 +es 2 217 2030 84000.0 84000.0 0.0 0.0 3.0 +es 2 218 2030 87000.0 87000.0 0.0 0.0 3.0 +es 2 219 2030 90000.0 90000.0 0.0 0.0 3.0 +es 2 220 2030 93000.0 93000.0 0.0 0.0 3.0 +es 2 221 2030 96000.0 96000.0 0.0 0.0 3.0 +es 2 222 2030 99000.0 99000.0 0.0 0.0 3.0 +es 2 223 2030 102000.0 102000.0 0.0 0.0 3.0 +es 2 224 2030 105000.0 105000.0 0.0 0.0 3.0 +es 2 225 2030 108000.0 108000.0 0.0 0.0 3.0 +es 2 226 2030 111000.0 111000.0 0.0 0.0 3.0 +es 2 227 2030 114000.0 114000.0 0.0 0.0 3.0 +es 2 228 2030 117000.0 117000.0 0.0 0.0 3.0 +es 2 229 2030 120000.0 120000.0 0.0 0.0 3.0 +es 2 230 2030 124000.0 124000.0 0.0 0.0 4.0 +es 2 231 2030 128000.0 128000.0 0.0 0.0 4.0 +es 2 232 2030 132000.0 132000.0 0.0 0.0 4.0 +es 2 233 2030 136000.0 136000.0 0.0 0.0 4.0 +es 2 234 2030 140000.0 140000.0 0.0 0.0 4.0 +es 2 235 2030 144000.0 144000.0 0.0 0.0 4.0 +es 2 236 2030 148000.0 148000.0 0.0 0.0 4.0 +es 2 237 2030 152000.0 152000.0 0.0 0.0 4.0 +es 2 238 2030 156000.0 156000.0 0.0 0.0 4.0 +es 2 239 2030 160000.0 160000.0 0.0 0.0 4.0 +es 2 240 2030 164000.0 164000.0 0.0 0.0 4.0 +es 2 241 2030 168000.0 168000.0 0.0 0.0 4.0 +es 2 242 2030 172000.0 172000.0 0.0 0.0 4.0 +es 2 243 2030 176000.0 176000.0 0.0 0.0 4.0 +es 2 244 2030 180000.0 180000.0 0.0 0.0 4.0 +es 2 245 2030 184000.0 184000.0 0.0 0.0 4.0 +es 2 246 2030 188000.0 188000.0 0.0 0.0 4.0 +es 2 247 2030 192000.0 192000.0 0.0 0.0 4.0 +es 2 248 2030 196000.0 196000.0 0.0 0.0 4.0 +es 2 249 2030 200000.0 200000.0 0.0 0.0 4.0 +es 2 250 2030 205000.0 205000.0 0.0 0.0 5.0 +es 2 251 2030 210000.0 210000.0 0.0 0.0 5.0 +es 2 252 2030 215000.0 215000.0 0.0 0.0 5.0 +es 2 253 2030 220000.0 220000.0 0.0 0.0 5.0 +es 2 254 2030 225000.0 225000.0 0.0 0.0 5.0 +es 2 255 2030 230000.0 230000.0 0.0 0.0 5.0 +es 2 256 2030 235000.0 235000.0 0.0 0.0 5.0 +es 2 257 2030 240000.0 240000.0 0.0 0.0 5.0 +es 2 258 2030 245000.0 245000.0 0.0 0.0 5.0 +es 2 259 2030 250000.0 250000.0 0.0 0.0 5.0 +es 2 260 2030 255000.0 255000.0 0.0 0.0 5.0 +es 2 261 2030 260000.0 260000.0 0.0 0.0 5.0 +es 2 262 2030 265000.0 265000.0 0.0 0.0 5.0 +es 2 263 2030 270000.0 270000.0 0.0 0.0 5.0 +es 2 264 2030 275000.0 275000.0 0.0 0.0 5.0 +es 2 265 2030 280000.0 280000.0 0.0 0.0 5.0 +es 2 266 2030 285000.0 285000.0 0.0 0.0 5.0 +es 2 267 2030 290000.0 290000.0 0.0 0.0 5.0 +es 2 268 2030 295000.0 295000.0 0.0 0.0 5.0 +es 2 269 2030 300000.0 300000.0 0.0 0.0 5.0 +es 2 270 2030 306000.0 306000.0 0.0 0.0 6.0 +es 2 271 2030 312000.0 312000.0 0.0 0.0 6.0 +es 2 272 2030 318000.0 318000.0 0.0 0.0 6.0 +es 2 273 2030 324000.0 324000.0 0.0 0.0 6.0 +es 2 274 2030 330000.0 330000.0 0.0 0.0 6.0 +es 2 275 2030 336000.0 336000.0 0.0 0.0 6.0 +es 2 276 2030 342000.0 342000.0 0.0 0.0 6.0 +es 2 277 2030 348000.0 348000.0 0.0 0.0 6.0 +es 2 278 2030 354000.0 354000.0 0.0 0.0 6.0 +es 2 279 2030 360000.0 360000.0 0.0 0.0 6.0 +es 2 280 2030 366000.0 366000.0 0.0 0.0 6.0 +es 2 281 2030 372000.0 372000.0 0.0 0.0 6.0 +es 2 282 2030 378000.0 378000.0 0.0 0.0 6.0 +es 2 283 2030 384000.0 384000.0 0.0 0.0 6.0 +es 2 284 2030 390000.0 390000.0 0.0 0.0 6.0 +es 2 285 2030 396000.0 396000.0 0.0 0.0 6.0 +es 2 286 2030 402000.0 402000.0 0.0 0.0 6.0 +es 2 287 2030 408000.0 408000.0 0.0 0.0 6.0 +es 2 288 2030 414000.0 414000.0 0.0 0.0 6.0 +es 2 289 2030 420000.0 420000.0 0.0 0.0 6.0 +es 2 290 2030 427000.0 427000.0 0.0 0.0 7.0 +es 2 291 2030 434000.0 434000.0 0.0 0.0 7.0 +es 2 292 2030 441000.0 441000.0 0.0 0.0 7.0 +es 2 293 2030 448000.0 448000.0 0.0 0.0 7.0 +es 2 294 2030 455000.0 455000.0 0.0 0.0 7.0 +es 2 295 2030 462000.0 462000.0 0.0 0.0 7.0 +es 2 296 2030 469000.0 469000.0 0.0 0.0 7.0 +es 2 297 2030 476000.0 476000.0 0.0 0.0 7.0 +es 2 298 2030 483000.0 483000.0 0.0 0.0 7.0 +es 2 299 2030 490000.0 490000.0 0.0 0.0 7.0 +es 2 300 2030 497000.0 497000.0 0.0 0.0 7.0 +es 2 301 2030 504000.0 504000.0 0.0 0.0 7.0 +es 2 302 2030 511000.0 511000.0 0.0 0.0 7.0 +es 2 303 2030 518000.0 518000.0 0.0 0.0 7.0 +es 2 304 2030 525000.0 525000.0 0.0 0.0 7.0 +es 2 305 2030 532000.0 532000.0 0.0 0.0 7.0 +es 2 306 2030 539000.0 539000.0 0.0 0.0 7.0 +es 2 307 2030 546000.0 546000.0 0.0 0.0 7.0 +es 2 308 2030 553000.0 553000.0 0.0 0.0 7.0 +es 2 309 2030 560000.0 560000.0 0.0 0.0 7.0 +es 2 310 2030 568000.0 568000.0 0.0 0.0 8.0 +es 2 311 2030 576000.0 576000.0 0.0 0.0 8.0 +es 2 312 2030 584000.0 584000.0 0.0 0.0 8.0 +es 2 313 2030 592000.0 592000.0 0.0 0.0 8.0 +es 2 314 2030 600000.0 600000.0 0.0 0.0 8.0 +es 2 315 2030 608000.0 608000.0 0.0 0.0 8.0 +es 2 316 2030 616000.0 616000.0 0.0 0.0 8.0 +es 2 317 2030 624000.0 624000.0 0.0 0.0 8.0 +es 2 318 2030 632000.0 632000.0 0.0 0.0 8.0 +es 2 319 2030 640000.0 640000.0 0.0 0.0 8.0 +es 2 320 2030 648000.0 648000.0 0.0 0.0 8.0 +es 2 321 2030 656000.0 656000.0 0.0 0.0 8.0 +es 2 322 2030 664000.0 664000.0 0.0 0.0 8.0 +es 2 323 2030 672000.0 672000.0 0.0 0.0 8.0 +es 2 324 2030 680000.0 680000.0 0.0 0.0 8.0 +es 2 325 2030 688000.0 688000.0 0.0 0.0 8.0 +es 2 326 2030 696000.0 696000.0 0.0 0.0 8.0 +es 2 327 2030 704000.0 704000.0 0.0 0.0 8.0 +es 2 328 2030 712000.0 712000.0 0.0 0.0 8.0 +es 2 329 2030 720000.0 720000.0 0.0 0.0 8.0 +es 2 330 2030 729000.0 729000.0 0.0 0.0 9.0 +es 2 331 2030 738000.0 738000.0 0.0 0.0 9.0 +es 2 332 2030 747000.0 747000.0 0.0 0.0 9.0 +es 2 333 2030 756000.0 756000.0 0.0 0.0 9.0 +es 2 334 2030 765000.0 765000.0 0.0 0.0 9.0 +es 2 335 2030 774000.0 774000.0 0.0 0.0 9.0 +es 2 336 2030 783000.0 783000.0 0.0 0.0 9.0 +fr 2 1 2030 0.0 0.0 0.0 0.0 0.0 +fr 2 2 2030 1000.0 1000.0 0.0 0.0 1.0 +fr 2 3 2030 2000.0 2000.0 0.0 0.0 1.0 +fr 2 4 2030 3000.0 3000.0 0.0 0.0 1.0 +fr 2 5 2030 4000.0 4000.0 0.0 0.0 1.0 +fr 2 6 2030 5000.0 5000.0 0.0 0.0 1.0 +fr 2 7 2030 6000.0 6000.0 0.0 0.0 1.0 +fr 2 8 2030 7000.0 7000.0 0.0 0.0 1.0 +fr 2 9 2030 8000.0 8000.0 0.0 0.0 1.0 +fr 2 10 2030 9000.0 9000.0 0.0 0.0 1.0 +fr 2 11 2030 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0.0 0.0 8.0 +it 2 312 2030 584000.0 584000.0 0.0 0.0 8.0 +it 2 313 2030 592000.0 592000.0 0.0 0.0 8.0 +it 2 314 2030 600000.0 600000.0 0.0 0.0 8.0 +it 2 315 2030 608000.0 608000.0 0.0 0.0 8.0 +it 2 316 2030 616000.0 616000.0 0.0 0.0 8.0 +it 2 317 2030 624000.0 624000.0 0.0 0.0 8.0 +it 2 318 2030 632000.0 632000.0 0.0 0.0 8.0 +it 2 319 2030 640000.0 640000.0 0.0 0.0 8.0 +it 2 320 2030 648000.0 648000.0 0.0 0.0 8.0 +it 2 321 2030 656000.0 656000.0 0.0 0.0 8.0 +it 2 322 2030 664000.0 664000.0 0.0 0.0 8.0 +it 2 323 2030 672000.0 672000.0 0.0 0.0 8.0 +it 2 324 2030 680000.0 680000.0 0.0 0.0 8.0 +it 2 325 2030 688000.0 688000.0 0.0 0.0 8.0 +it 2 326 2030 696000.0 696000.0 0.0 0.0 8.0 +it 2 327 2030 704000.0 704000.0 0.0 0.0 8.0 +it 2 328 2030 712000.0 712000.0 0.0 0.0 8.0 +it 2 329 2030 720000.0 720000.0 0.0 0.0 8.0 +it 2 330 2030 729000.0 729000.0 0.0 0.0 9.0 +it 2 331 2030 738000.0 738000.0 0.0 0.0 9.0 +it 2 332 2030 747000.0 747000.0 0.0 0.0 9.0 +it 2 333 2030 756000.0 756000.0 0.0 0.0 9.0 +it 2 334 2030 765000.0 765000.0 0.0 0.0 9.0 +it 2 335 2030 774000.0 774000.0 0.0 0.0 9.0 +it 2 336 2030 783000.0 783000.0 0.0 0.0 9.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv new file mode 100644 index 0000000000..6e4416c25b --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv @@ -0,0 +1,15 @@ +area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 OP. COST.4 OP. COST.5 OP. COST.6 OP. COST.7 OP. COST.8 OP. COST.9 OP. COST.10 OP. COST.11 OP. COST.12 OP. COST.13 OP. COST.14 OP. COST.15 H. COST H. COST.1 H. COST.2 H. COST.3 H. COST.4 H. COST.5 H. COST.6 H. COST.7 H. COST.8 H. COST.9 H. COST.10 H. COST.11 H. COST.12 H. COST.13 H. COST.14 H. COST.15 NP COST NP COST.1 NP COST.2 NP COST.3 NP COST.4 NP COST.5 NP COST.6 NP COST.7 NP COST.8 NP COST.9 NP COST.10 NP COST.11 NP COST.12 NP COST.13 NP COST.14 NP COST.15 NODU NODU.1 NODU.2 NODU.3 NODU.4 NODU.5 NODU.6 NODU.7 NODU.8 NODU.9 NODU.10 NODU.11 NODU.12 NODU.13 NODU.14 NODU.15 +de 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 +de 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 +de 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 +de 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 +de 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 +de 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 +de 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 +es 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 +es 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 +es 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 +es 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 +es 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 +es 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 +es 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05.result.tsv new file mode 100644 index 0000000000..2ef64205e5 --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05.result.tsv @@ -0,0 +1,2017 @@ +link mcYear timeId time MARG. COST CONG. PROB + CONG. PROB - HURDLE COST +de - fr 1 1 2030 0.0 0.0 0.0 0.0 +de - fr 1 2 2030 0.0 0.0 0.0 0.0 +de - fr 1 3 2030 0.0 0.0 0.0 0.0 +de - fr 1 4 2030 0.0 0.0 0.0 0.0 +de - fr 1 5 2030 0.0 0.0 0.0 0.0 +de - fr 1 6 2030 0.0 0.0 0.0 0.0 +de - fr 1 7 2030 0.0 0.0 0.0 0.0 +de - fr 1 8 2030 0.0 0.0 0.0 0.0 +de - fr 1 9 2030 0.0 0.0 0.0 0.0 +de - fr 1 10 2030 0.0 0.0 0.0 0.0 +de - fr 1 11 2030 0.0 0.0 0.0 0.0 +de - fr 1 12 2030 0.0 0.0 0.0 0.0 +de - fr 1 13 2030 0.0 0.0 0.0 0.0 +de - fr 1 14 2030 0.0 0.0 0.0 0.0 +de - fr 1 15 2030 0.0 0.0 0.0 0.0 +de - fr 1 16 2030 0.0 0.0 0.0 0.0 +de - fr 1 17 2030 0.0 0.0 0.0 0.0 +de - fr 1 18 2030 0.0 0.0 0.0 0.0 +de - fr 1 19 2030 0.0 0.0 0.0 0.0 +de - fr 1 20 2030 0.0 0.0 0.0 0.0 +de - fr 1 21 2030 0.0 0.0 0.0 0.0 +de - fr 1 22 2030 0.0 0.0 0.0 0.0 +de - fr 1 23 2030 0.0 0.0 0.0 0.0 +de - fr 1 24 2030 0.0 0.0 0.0 0.0 +de - fr 1 25 2030 0.0 0.0 0.0 0.0 +de - fr 1 26 2030 0.0 0.0 0.0 0.0 +de - fr 1 27 2030 0.0 0.0 0.0 0.0 +de - fr 1 28 2030 0.0 0.0 0.0 0.0 +de - fr 1 29 2030 0.0 0.0 0.0 0.0 +de - 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fr 1 59 2030 0.0 0.0 0.0 0.0 +de - fr 1 60 2030 0.0 0.0 0.0 0.0 +de - fr 1 61 2030 0.0 0.0 0.0 0.0 +de - fr 1 62 2030 0.0 0.0 0.0 0.0 +de - fr 1 63 2030 0.0 0.0 0.0 0.0 +de - fr 1 64 2030 0.0 0.0 0.0 0.0 +de - fr 1 65 2030 0.0 0.0 0.0 0.0 +de - fr 1 66 2030 0.0 0.0 0.0 0.0 +de - fr 1 67 2030 0.0 0.0 0.0 0.0 +de - fr 1 68 2030 0.0 0.0 0.0 0.0 +de - fr 1 69 2030 0.0 0.0 0.0 0.0 +de - fr 1 70 2030 0.0 0.0 0.0 0.0 +de - fr 1 71 2030 0.0 0.0 0.0 0.0 +de - fr 1 72 2030 0.0 0.0 0.0 0.0 +de - fr 1 73 2030 0.0 0.0 0.0 0.0 +de - fr 1 74 2030 0.0 0.0 0.0 0.0 +de - fr 1 75 2030 0.0 0.0 0.0 0.0 +de - fr 1 76 2030 0.0 0.0 0.0 0.0 +de - fr 1 77 2030 0.0 0.0 0.0 0.0 +de - fr 1 78 2030 0.0 0.0 0.0 0.0 +de - fr 1 79 2030 0.0 0.0 0.0 0.0 +de - fr 1 80 2030 0.0 0.0 0.0 0.0 +de - fr 1 81 2030 0.0 0.0 0.0 0.0 +de - fr 1 82 2030 0.0 0.0 0.0 0.0 +de - fr 1 83 2030 0.0 0.0 0.0 0.0 +de - fr 1 84 2030 0.0 0.0 0.0 0.0 +de - fr 1 85 2030 0.0 0.0 0.0 0.0 +de - fr 1 86 2030 0.0 0.0 0.0 0.0 +de - fr 1 87 2030 0.0 0.0 0.0 0.0 +de - 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fr 364 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py b/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py index 49ae2eb80b..d72afdfaf8 100644 --- a/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py +++ b/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py @@ -72,6 +72,15 @@ }, "test-05.result.tsv", ), + ( + { + "output_id": "20201014-1425eco-goodbye", + "query_file": MCIndAreasQueryFile.VALUES, + "frequency": MatrixFrequency.HOURLY, + "columns_regexes": "COST,NODU", + }, + "test-06.result.tsv", + ), ] LINKS_REQUESTS__IND = [ @@ -115,6 +124,15 @@ }, "test-04.result.tsv", ), + ( + { + "output_id": "20201014-1425eco-goodbye", + "query_file": MCIndLinksQueryFile.VALUES, + "frequency": MatrixFrequency.HOURLY, + "columns_regexes": "COST,PROB", + }, + "test-05.result.tsv", + ), ] SAME_REQUEST_DIFFERENT_FORMATS__IND = [ @@ -250,6 +268,15 @@ }, "test-06-all.result.tsv", ), + ( + { + "output_id": "20201014-1427eco", + "query_file": MCAllAreasQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "columns_regexes": "COST,NODU", + }, + "test-07-all.result.tsv", + ), ] LINKS_REQUESTS__ALL = [ @@ -298,6 +325,15 @@ }, "test-05-all.result.tsv", ), + ( + { + "output_id": "20241807-1540eco-extra-outputs", + "query_file": MCAllLinksQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "columns_regexes": "COST,PROB", + }, + "test-06-all.result.tsv", + ), ] SAME_REQUEST_DIFFERENT_FORMATS__ALL = [ From 18ca98cdd0709a186e9e9adb669e12ca0d449f43 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Tue, 6 Aug 2024 21:32:32 +0200 Subject: [PATCH 09/19] feat(aggregation-api): use columns regex only for `details-XXX`, remove case sensitiveness --- .../study/business/aggregator_management.py | 27 ++++++++++++------- antarest/study/service.py | 12 +++------ antarest/study/web/raw_studies_blueprint.py | 20 +++----------- 3 files changed, 26 insertions(+), 33 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index cafacef0a7..23f2a5fecc 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -80,7 +80,6 @@ def __init__( frequency: MatrixFrequency, ids_to_consider: t.Sequence[str], columns_names: t.Sequence[str], - columns_regexes: t.Sequence[str], mc_years: t.Optional[t.Sequence[int]] = None, ): self.study_path: Path = study_path @@ -91,7 +90,6 @@ def __init__( self.frequency: MatrixFrequency = frequency self.mc_years: t.Optional[t.Sequence[int]] = mc_years self.columns_names: t.Sequence[str] = columns_names - self.columns_regexes: t.Sequence[str] = columns_regexes self.ids_to_consider: t.Sequence[str] = ids_to_consider self.output_type = ( "areas" @@ -199,24 +197,35 @@ def _gather_all_files_to_consider__all(self) -> t.Sequence[Path]: ] return all_output_files - def columns_filtering(self, df: pd.DataFrame) -> pd.DataFrame: + def columns_filtering(self, df: pd.DataFrame, is_details: bool) -> pd.DataFrame: # columns filtering - if self.columns_names: - filtered_columns = [c for c in df.columns.tolist() if c in self.columns_names] - df = df.loc[:, filtered_columns] - if self.columns_regexes: - filtered_columns = [c for c in df.columns.tolist() if any(regex in c for regex in self.columns_regexes)] + lower_case_columns = [c.lower() for c in self.columns_names] + if lower_case_columns: + if is_details: + filtered_columns = [ + c for c in df.columns.tolist() if any(regex in c.lower() for regex in lower_case_columns) + ] + else: + filtered_columns = [c for c in df.columns.tolist() if c.lower() in lower_case_columns] df = df.loc[:, filtered_columns] return df def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: + is_details = self.query_file in [ + MCIndAreasQueryFile.DETAILS, + MCAllAreasQueryFile.DETAILS, + MCIndAreasQueryFile.DETAILS_ST_STORAGE, + MCAllAreasQueryFile.DETAILS_ST_STORAGE, + MCIndAreasQueryFile.DETAILS_RES, + MCAllAreasQueryFile.DETAILS_RES, + ] final_df = pd.DataFrame() nb_files = len(files) for k, file_path in enumerate(files): df = self._parse_output_file(file_path) # columns filtering - df = self.columns_filtering(df) + df = self.columns_filtering(df, is_details) # if no columns, no need to continue list_of_df_columns = df.columns.tolist() diff --git a/antarest/study/service.py b/antarest/study/service.py index a01cee461c..106c2239af 100644 --- a/antarest/study/service.py +++ b/antarest/study/service.py @@ -382,7 +382,6 @@ def aggregate_output_data( frequency: MatrixFrequency, mc_years: t.Sequence[int], columns_names: t.Sequence[str], - columns_regexes: t.Sequence[str], ids_to_consider: t.Sequence[str], params: RequestParameters, ) -> pd.DataFrame: @@ -394,8 +393,7 @@ def aggregate_output_data( query_file: which types of data to retrieve ("values", "details", "details-st-storage", "details-res") frequency: yearly, monthly, weekly, daily or hourly. mc_years: list of monte-carlo years, if empty, all years are selected - columns_names: columns to be selected, if empty, all columns are selected - columns_regexes: columns to be selected using list of regexes, if empty, all columns are selected + columns_names: regexes (if details) or columns to be selected, if empty, all columns are selected ids_to_consider: list of areas or links ids to consider, if empty, all areas are selected params: request parameters @@ -407,7 +405,7 @@ def aggregate_output_data( study_path = self.storage_service.raw_study_service.get_study_path(study) # fmt: off aggregator_manager = AggregatorManager(study_path, output_id, query_file, frequency, ids_to_consider, - columns_names, columns_regexes, mc_years) + columns_names, mc_years) # fmt: on return aggregator_manager.aggregate_output_data() @@ -418,7 +416,6 @@ def aggregate_output_data__all( query_file: t.Union[MCAllAreasQueryFile, MCAllLinksQueryFile], frequency: MatrixFrequency, columns_names: t.Sequence[str], - columns_regexes: t.Sequence[str], ids_to_consider: t.Sequence[str], params: RequestParameters, ) -> pd.DataFrame: @@ -429,8 +426,7 @@ def aggregate_output_data__all( output_id: simulation output ID query_file: which types of data to retrieve ("values", "details", "details-st-storage", "details-res") frequency: yearly, monthly, weekly, daily or hourly. - columns_names: columns to be selected, if empty, all columns are selected - columns_regexes: columns to be selected using list of regexes, if empty, all columns are selected + columns_names: regexes (if details) or columns to be selected, if empty, all columns are selected ids_to_consider: list of areas or links ids to consider, if empty, all areas are selected params: request parameters @@ -442,7 +438,7 @@ def aggregate_output_data__all( study_path = self.storage_service.raw_study_service.get_study_path(study) # fmt: off aggregator_manager = AggregatorManager(study_path, output_id, query_file, frequency, ids_to_consider, - columns_names, columns_regexes) + columns_names) # fmt: on return aggregator_manager.aggregate_output_data__all() diff --git a/antarest/study/web/raw_studies_blueprint.py b/antarest/study/web/raw_studies_blueprint.py index f36be17099..43bedebc01 100644 --- a/antarest/study/web/raw_studies_blueprint.py +++ b/antarest/study/web/raw_studies_blueprint.py @@ -192,7 +192,6 @@ def aggregate_areas_raw_data( mc_years: str = "", areas_ids: str = "", columns_names: str = "", - columns_regexes: str = "", export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore current_user: JWTUser = Depends(auth.get_current_user), ) -> FileResponse: @@ -207,8 +206,7 @@ def aggregate_areas_raw_data( - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `mc_years`: which Monte Carlo years to be selected. If empty, all are selected (comma separated) - `areas_ids`: which areas to be selected. If empty, all are selected (comma separated) - - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) - - `columns_regexes`: which columns to be selected using comma separated regexes. If empty, all are selected + - `columns_names`: regexes (if details) or columns to be selected, if empty, all columns are selected - `export_format`: Returned file format (csv by default). Returns: @@ -232,7 +230,6 @@ def aggregate_areas_raw_data( frequency=frequency, mc_years=[int(mc_year) for mc_year in _split_comma_separated_values(mc_years)], columns_names=_split_comma_separated_values(columns_names), - columns_regexes=_split_comma_separated_values(columns_regexes), ids_to_consider=_split_comma_separated_values(areas_ids), params=parameters, ) @@ -264,7 +261,6 @@ def aggregate_links_raw_data( mc_years: str = "", links_ids: str = "", columns_names: str = "", - columns_regexes: str = "", export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore current_user: JWTUser = Depends(auth.get_current_user), ) -> FileResponse: @@ -278,8 +274,7 @@ def aggregate_links_raw_data( - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `mc_years`: which Monte Carlo years to be selected. If empty, all are selected (comma separated) - `links_ids`: which links to be selected (ex: "be - fr"). If empty, all are selected (comma separated) - - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) - - `columns_regexes`: which columns to be selected using comma separated regexes. If empty, all are selected + - `columns_names`: regexes (if details) or columns to be selected, if empty, all columns are selected - `export_format`: Returned file format (csv by default). Returns: @@ -303,7 +298,6 @@ def aggregate_links_raw_data( frequency=frequency, mc_years=[int(mc_year) for mc_year in _split_comma_separated_values(mc_years)], columns_names=_split_comma_separated_values(columns_names), - columns_regexes=_split_comma_separated_values(columns_regexes), ids_to_consider=_split_comma_separated_values(links_ids), params=parameters, ) @@ -334,7 +328,6 @@ def aggregate_areas_raw_data__all( frequency: MatrixFrequency, areas_ids: str = "", columns_names: str = "", - columns_regexes: str = "", export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore current_user: JWTUser = Depends(auth.get_current_user), ) -> FileResponse: @@ -348,8 +341,7 @@ def aggregate_areas_raw_data__all( - `query_file`: "values", "details", "details-STstorage", "details-res" - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `areas_ids`: which areas to be selected. If empty, all are selected (comma separated) - - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) - - `columns_regexes`: which columns to be selected using comma separated regexes. If empty, all are selected + - `columns_names`: regexes (if details) or columns to be selected, if empty, all columns are selected - `export_format`: Returned file format (csv by default). Returns: @@ -372,7 +364,6 @@ def aggregate_areas_raw_data__all( query_file=query_file, frequency=frequency, columns_names=_split_comma_separated_values(columns_names), - columns_regexes=_split_comma_separated_values(columns_regexes), ids_to_consider=_split_comma_separated_values(areas_ids), params=parameters, ) @@ -403,7 +394,6 @@ def aggregate_links_raw_data__all( frequency: MatrixFrequency, links_ids: str = "", columns_names: str = "", - columns_regexes: str = "", export_format: TableExportFormat = DEFAULT_EXPORT_FORMAT, # type: ignore current_user: JWTUser = Depends(auth.get_current_user), ) -> FileResponse: @@ -416,8 +406,7 @@ def aggregate_links_raw_data__all( - `query_file`: "values" (currently the only available option) - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `links_ids`: which links to be selected (ex: "be - fr"). If empty, all are selected (comma separated) - - `columns_names`: which columns to be selected. If empty, all are selected (comma separated) - - `columns_regexes`: which columns to be selected using comma separated regexes. If empty, all are selected + - `columns_names`: regexes (if details) or columns to be selected, if empty, all columns are selected - `export_format`: Returned file format (csv by default). Returns: @@ -440,7 +429,6 @@ def aggregate_links_raw_data__all( query_file=query_file, frequency=frequency, columns_names=_split_comma_separated_values(columns_names), - columns_regexes=_split_comma_separated_values(columns_regexes), ids_to_consider=_split_comma_separated_values(links_ids), params=parameters, ) From ad7386e3b23981ea8c6c8436a2822456bb5eee82 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Tue, 6 Aug 2024 21:33:05 +0200 Subject: [PATCH 10/19] test(aggregation-api): use columns regex only for `details-XXX`, remove case sensitiveness --- .../test-06.result.tsv | 5378 ++++++++--------- .../test-07-all.result.tsv | 30 +- .../test-07.result.tsv | 2689 +++++++++ .../test-08-all.result.tsv | 3 + .../test-05.result.tsv | 4034 ++++++------- .../test-06-all.result.tsv | 730 +-- .../test_aggregate_raw_data.py | 95 +- 7 files changed, 7867 insertions(+), 5092 deletions(-) create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07.result.tsv create mode 100644 tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-08-all.result.tsv diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06.result.tsv index fd2de4bf1d..8c166f1fe8 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06.result.tsv @@ -1,2689 +1,2689 @@ -area mcYear timeId time OV. COST OP. COST H. COST NP COST NODU -de 1 1 2030 0.0 0.0 0.0 0.0 0.0 -de 1 2 2030 1000.0 1000.0 0.0 0.0 1.0 -de 1 3 2030 2000.0 2000.0 0.0 0.0 1.0 -de 1 4 2030 3000.0 3000.0 0.0 0.0 1.0 -de 1 5 2030 4000.0 4000.0 0.0 0.0 1.0 -de 1 6 2030 5000.0 5000.0 0.0 0.0 1.0 -de 1 7 2030 6000.0 6000.0 0.0 0.0 1.0 -de 1 8 2030 7000.0 7000.0 0.0 0.0 1.0 -de 1 9 2030 8000.0 8000.0 0.0 0.0 1.0 -de 1 10 2030 9000.0 9000.0 0.0 0.0 1.0 -de 1 11 2030 10000.0 10000.0 0.0 0.0 1.0 -de 1 12 2030 11000.0 11000.0 0.0 0.0 1.0 -de 1 13 2030 12000.0 12000.0 0.0 0.0 1.0 -de 1 14 2030 13000.0 13000.0 0.0 0.0 1.0 -de 1 15 2030 14000.0 14000.0 0.0 0.0 1.0 -de 1 16 2030 15000.0 15000.0 0.0 0.0 1.0 -de 1 17 2030 16000.0 16000.0 0.0 0.0 1.0 -de 1 18 2030 17000.0 17000.0 0.0 0.0 1.0 -de 1 19 2030 18000.0 18000.0 0.0 0.0 1.0 -de 1 20 2030 19000.0 19000.0 0.0 0.0 1.0 -de 1 21 2030 20000.0 20000.0 0.0 0.0 1.0 -de 1 22 2030 22000.0 22000.0 0.0 0.0 2.0 -de 1 23 2030 24000.0 24000.0 0.0 0.0 2.0 -de 1 24 2030 26000.0 26000.0 0.0 0.0 2.0 -de 1 25 2030 28000.0 28000.0 0.0 0.0 2.0 -de 1 26 2030 30000.0 30000.0 0.0 0.0 2.0 -de 1 27 2030 32000.0 32000.0 0.0 0.0 2.0 -de 1 28 2030 34000.0 34000.0 0.0 0.0 2.0 -de 1 29 2030 36000.0 36000.0 0.0 0.0 2.0 -de 1 30 2030 38000.0 38000.0 0.0 0.0 2.0 -de 1 31 2030 40000.0 40000.0 0.0 0.0 2.0 -de 1 32 2030 42000.0 42000.0 0.0 0.0 2.0 -de 1 33 2030 44000.0 44000.0 0.0 0.0 2.0 -de 1 34 2030 46000.0 46000.0 0.0 0.0 2.0 -de 1 35 2030 48000.0 48000.0 0.0 0.0 2.0 -de 1 36 2030 50000.0 50000.0 0.0 0.0 2.0 -de 1 37 2030 52000.0 52000.0 0.0 0.0 2.0 -de 1 38 2030 54000.0 54000.0 0.0 0.0 2.0 -de 1 39 2030 56000.0 56000.0 0.0 0.0 2.0 -de 1 40 2030 58000.0 58000.0 0.0 0.0 2.0 -de 1 41 2030 60000.0 60000.0 0.0 0.0 2.0 -de 1 42 2030 63000.0 63000.0 0.0 0.0 3.0 -de 1 43 2030 66000.0 66000.0 0.0 0.0 3.0 -de 1 44 2030 69000.0 69000.0 0.0 0.0 3.0 -de 1 45 2030 72000.0 72000.0 0.0 0.0 3.0 -de 1 46 2030 75000.0 75000.0 0.0 0.0 3.0 -de 1 47 2030 78000.0 78000.0 0.0 0.0 3.0 -de 1 48 2030 81000.0 81000.0 0.0 0.0 3.0 -de 1 49 2030 84000.0 84000.0 0.0 0.0 3.0 -de 1 50 2030 87000.0 87000.0 0.0 0.0 3.0 -de 1 51 2030 90000.0 90000.0 0.0 0.0 3.0 -de 1 52 2030 93000.0 93000.0 0.0 0.0 3.0 -de 1 53 2030 96000.0 96000.0 0.0 0.0 3.0 -de 1 54 2030 99000.0 99000.0 0.0 0.0 3.0 -de 1 55 2030 102000.0 102000.0 0.0 0.0 3.0 -de 1 56 2030 105000.0 105000.0 0.0 0.0 3.0 -de 1 57 2030 108000.0 108000.0 0.0 0.0 3.0 -de 1 58 2030 111000.0 111000.0 0.0 0.0 3.0 -de 1 59 2030 114000.0 114000.0 0.0 0.0 3.0 -de 1 60 2030 117000.0 117000.0 0.0 0.0 3.0 -de 1 61 2030 120000.0 120000.0 0.0 0.0 3.0 -de 1 62 2030 124000.0 124000.0 0.0 0.0 4.0 -de 1 63 2030 128000.0 128000.0 0.0 0.0 4.0 -de 1 64 2030 132000.0 132000.0 0.0 0.0 4.0 -de 1 65 2030 136000.0 136000.0 0.0 0.0 4.0 -de 1 66 2030 140000.0 140000.0 0.0 0.0 4.0 -de 1 67 2030 144000.0 144000.0 0.0 0.0 4.0 -de 1 68 2030 148000.0 148000.0 0.0 0.0 4.0 -de 1 69 2030 152000.0 152000.0 0.0 0.0 4.0 -de 1 70 2030 156000.0 156000.0 0.0 0.0 4.0 -de 1 71 2030 160000.0 160000.0 0.0 0.0 4.0 -de 1 72 2030 164000.0 164000.0 0.0 0.0 4.0 -de 1 73 2030 168000.0 168000.0 0.0 0.0 4.0 -de 1 74 2030 172000.0 172000.0 0.0 0.0 4.0 -de 1 75 2030 176000.0 176000.0 0.0 0.0 4.0 -de 1 76 2030 180000.0 180000.0 0.0 0.0 4.0 -de 1 77 2030 184000.0 184000.0 0.0 0.0 4.0 -de 1 78 2030 188000.0 188000.0 0.0 0.0 4.0 -de 1 79 2030 192000.0 192000.0 0.0 0.0 4.0 -de 1 80 2030 196000.0 196000.0 0.0 0.0 4.0 -de 1 81 2030 200000.0 200000.0 0.0 0.0 4.0 -de 1 82 2030 205000.0 205000.0 0.0 0.0 5.0 -de 1 83 2030 210000.0 210000.0 0.0 0.0 5.0 -de 1 84 2030 215000.0 215000.0 0.0 0.0 5.0 -de 1 85 2030 220000.0 220000.0 0.0 0.0 5.0 -de 1 86 2030 225000.0 225000.0 0.0 0.0 5.0 -de 1 87 2030 230000.0 230000.0 0.0 0.0 5.0 -de 1 88 2030 235000.0 235000.0 0.0 0.0 5.0 -de 1 89 2030 240000.0 240000.0 0.0 0.0 5.0 -de 1 90 2030 245000.0 245000.0 0.0 0.0 5.0 -de 1 91 2030 250000.0 250000.0 0.0 0.0 5.0 -de 1 92 2030 255000.0 255000.0 0.0 0.0 5.0 -de 1 93 2030 260000.0 260000.0 0.0 0.0 5.0 -de 1 94 2030 265000.0 265000.0 0.0 0.0 5.0 -de 1 95 2030 270000.0 270000.0 0.0 0.0 5.0 -de 1 96 2030 275000.0 275000.0 0.0 0.0 5.0 -de 1 97 2030 280000.0 280000.0 0.0 0.0 5.0 -de 1 98 2030 285000.0 285000.0 0.0 0.0 5.0 -de 1 99 2030 290000.0 290000.0 0.0 0.0 5.0 -de 1 100 2030 295000.0 295000.0 0.0 0.0 5.0 -de 1 101 2030 300000.0 300000.0 0.0 0.0 5.0 -de 1 102 2030 306000.0 306000.0 0.0 0.0 6.0 -de 1 103 2030 312000.0 312000.0 0.0 0.0 6.0 -de 1 104 2030 318000.0 318000.0 0.0 0.0 6.0 -de 1 105 2030 324000.0 324000.0 0.0 0.0 6.0 -de 1 106 2030 330000.0 330000.0 0.0 0.0 6.0 -de 1 107 2030 336000.0 336000.0 0.0 0.0 6.0 -de 1 108 2030 342000.0 342000.0 0.0 0.0 6.0 -de 1 109 2030 348000.0 348000.0 0.0 0.0 6.0 -de 1 110 2030 354000.0 354000.0 0.0 0.0 6.0 -de 1 111 2030 360000.0 360000.0 0.0 0.0 6.0 -de 1 112 2030 366000.0 366000.0 0.0 0.0 6.0 -de 1 113 2030 372000.0 372000.0 0.0 0.0 6.0 -de 1 114 2030 378000.0 378000.0 0.0 0.0 6.0 -de 1 115 2030 384000.0 384000.0 0.0 0.0 6.0 -de 1 116 2030 390000.0 390000.0 0.0 0.0 6.0 -de 1 117 2030 396000.0 396000.0 0.0 0.0 6.0 -de 1 118 2030 402000.0 402000.0 0.0 0.0 6.0 -de 1 119 2030 408000.0 408000.0 0.0 0.0 6.0 -de 1 120 2030 414000.0 414000.0 0.0 0.0 6.0 -de 1 121 2030 420000.0 420000.0 0.0 0.0 6.0 -de 1 122 2030 427000.0 427000.0 0.0 0.0 7.0 -de 1 123 2030 434000.0 434000.0 0.0 0.0 7.0 -de 1 124 2030 441000.0 441000.0 0.0 0.0 7.0 -de 1 125 2030 448000.0 448000.0 0.0 0.0 7.0 -de 1 126 2030 455000.0 455000.0 0.0 0.0 7.0 -de 1 127 2030 462000.0 462000.0 0.0 0.0 7.0 -de 1 128 2030 469000.0 469000.0 0.0 0.0 7.0 -de 1 129 2030 476000.0 476000.0 0.0 0.0 7.0 -de 1 130 2030 483000.0 483000.0 0.0 0.0 7.0 -de 1 131 2030 490000.0 490000.0 0.0 0.0 7.0 -de 1 132 2030 497000.0 497000.0 0.0 0.0 7.0 -de 1 133 2030 504000.0 504000.0 0.0 0.0 7.0 -de 1 134 2030 511000.0 511000.0 0.0 0.0 7.0 -de 1 135 2030 518000.0 518000.0 0.0 0.0 7.0 -de 1 136 2030 525000.0 525000.0 0.0 0.0 7.0 -de 1 137 2030 532000.0 532000.0 0.0 0.0 7.0 -de 1 138 2030 539000.0 539000.0 0.0 0.0 7.0 -de 1 139 2030 546000.0 546000.0 0.0 0.0 7.0 -de 1 140 2030 553000.0 553000.0 0.0 0.0 7.0 -de 1 141 2030 560000.0 560000.0 0.0 0.0 7.0 -de 1 142 2030 568000.0 568000.0 0.0 0.0 8.0 -de 1 143 2030 576000.0 576000.0 0.0 0.0 8.0 -de 1 144 2030 584000.0 584000.0 0.0 0.0 8.0 -de 1 145 2030 592000.0 592000.0 0.0 0.0 8.0 -de 1 146 2030 600000.0 600000.0 0.0 0.0 8.0 -de 1 147 2030 608000.0 608000.0 0.0 0.0 8.0 -de 1 148 2030 616000.0 616000.0 0.0 0.0 8.0 -de 1 149 2030 624000.0 624000.0 0.0 0.0 8.0 -de 1 150 2030 632000.0 632000.0 0.0 0.0 8.0 -de 1 151 2030 640000.0 640000.0 0.0 0.0 8.0 -de 1 152 2030 648000.0 648000.0 0.0 0.0 8.0 -de 1 153 2030 656000.0 656000.0 0.0 0.0 8.0 -de 1 154 2030 664000.0 664000.0 0.0 0.0 8.0 -de 1 155 2030 672000.0 672000.0 0.0 0.0 8.0 -de 1 156 2030 680000.0 680000.0 0.0 0.0 8.0 -de 1 157 2030 688000.0 688000.0 0.0 0.0 8.0 -de 1 158 2030 696000.0 696000.0 0.0 0.0 8.0 -de 1 159 2030 704000.0 704000.0 0.0 0.0 8.0 -de 1 160 2030 712000.0 712000.0 0.0 0.0 8.0 -de 1 161 2030 720000.0 720000.0 0.0 0.0 8.0 -de 1 162 2030 729000.0 729000.0 0.0 0.0 9.0 -de 1 163 2030 738000.0 738000.0 0.0 0.0 9.0 -de 1 164 2030 747000.0 747000.0 0.0 0.0 9.0 -de 1 165 2030 756000.0 756000.0 0.0 0.0 9.0 -de 1 166 2030 765000.0 765000.0 0.0 0.0 9.0 -de 1 167 2030 774000.0 774000.0 0.0 0.0 9.0 -de 1 168 2030 783000.0 783000.0 0.0 0.0 9.0 -de 1 169 2030 0.0 0.0 0.0 0.0 0.0 -de 1 170 2030 1000.0 1000.0 0.0 0.0 1.0 -de 1 171 2030 2000.0 2000.0 0.0 0.0 1.0 -de 1 172 2030 3000.0 3000.0 0.0 0.0 1.0 -de 1 173 2030 4000.0 4000.0 0.0 0.0 1.0 -de 1 174 2030 5000.0 5000.0 0.0 0.0 1.0 -de 1 175 2030 6000.0 6000.0 0.0 0.0 1.0 -de 1 176 2030 7000.0 7000.0 0.0 0.0 1.0 -de 1 177 2030 8000.0 8000.0 0.0 0.0 1.0 -de 1 178 2030 9000.0 9000.0 0.0 0.0 1.0 -de 1 179 2030 10000.0 10000.0 0.0 0.0 1.0 -de 1 180 2030 11000.0 11000.0 0.0 0.0 1.0 -de 1 181 2030 12000.0 12000.0 0.0 0.0 1.0 -de 1 182 2030 13000.0 13000.0 0.0 0.0 1.0 -de 1 183 2030 14000.0 14000.0 0.0 0.0 1.0 -de 1 184 2030 15000.0 15000.0 0.0 0.0 1.0 -de 1 185 2030 16000.0 16000.0 0.0 0.0 1.0 -de 1 186 2030 17000.0 17000.0 0.0 0.0 1.0 -de 1 187 2030 18000.0 18000.0 0.0 0.0 1.0 -de 1 188 2030 19000.0 19000.0 0.0 0.0 1.0 -de 1 189 2030 20000.0 20000.0 0.0 0.0 1.0 -de 1 190 2030 22000.0 22000.0 0.0 0.0 2.0 -de 1 191 2030 24000.0 24000.0 0.0 0.0 2.0 -de 1 192 2030 26000.0 26000.0 0.0 0.0 2.0 -de 1 193 2030 28000.0 28000.0 0.0 0.0 2.0 -de 1 194 2030 30000.0 30000.0 0.0 0.0 2.0 -de 1 195 2030 32000.0 32000.0 0.0 0.0 2.0 -de 1 196 2030 34000.0 34000.0 0.0 0.0 2.0 -de 1 197 2030 36000.0 36000.0 0.0 0.0 2.0 -de 1 198 2030 38000.0 38000.0 0.0 0.0 2.0 -de 1 199 2030 40000.0 40000.0 0.0 0.0 2.0 -de 1 200 2030 42000.0 42000.0 0.0 0.0 2.0 -de 1 201 2030 44000.0 44000.0 0.0 0.0 2.0 -de 1 202 2030 46000.0 46000.0 0.0 0.0 2.0 -de 1 203 2030 48000.0 48000.0 0.0 0.0 2.0 -de 1 204 2030 50000.0 50000.0 0.0 0.0 2.0 -de 1 205 2030 52000.0 52000.0 0.0 0.0 2.0 -de 1 206 2030 54000.0 54000.0 0.0 0.0 2.0 -de 1 207 2030 56000.0 56000.0 0.0 0.0 2.0 -de 1 208 2030 58000.0 58000.0 0.0 0.0 2.0 -de 1 209 2030 60000.0 60000.0 0.0 0.0 2.0 -de 1 210 2030 63000.0 63000.0 0.0 0.0 3.0 -de 1 211 2030 66000.0 66000.0 0.0 0.0 3.0 -de 1 212 2030 69000.0 69000.0 0.0 0.0 3.0 -de 1 213 2030 72000.0 72000.0 0.0 0.0 3.0 -de 1 214 2030 75000.0 75000.0 0.0 0.0 3.0 -de 1 215 2030 78000.0 78000.0 0.0 0.0 3.0 -de 1 216 2030 81000.0 81000.0 0.0 0.0 3.0 -de 1 217 2030 84000.0 84000.0 0.0 0.0 3.0 -de 1 218 2030 87000.0 87000.0 0.0 0.0 3.0 -de 1 219 2030 90000.0 90000.0 0.0 0.0 3.0 -de 1 220 2030 93000.0 93000.0 0.0 0.0 3.0 -de 1 221 2030 96000.0 96000.0 0.0 0.0 3.0 -de 1 222 2030 99000.0 99000.0 0.0 0.0 3.0 -de 1 223 2030 102000.0 102000.0 0.0 0.0 3.0 -de 1 224 2030 105000.0 105000.0 0.0 0.0 3.0 -de 1 225 2030 108000.0 108000.0 0.0 0.0 3.0 -de 1 226 2030 111000.0 111000.0 0.0 0.0 3.0 -de 1 227 2030 114000.0 114000.0 0.0 0.0 3.0 -de 1 228 2030 117000.0 117000.0 0.0 0.0 3.0 -de 1 229 2030 120000.0 120000.0 0.0 0.0 3.0 -de 1 230 2030 124000.0 124000.0 0.0 0.0 4.0 -de 1 231 2030 128000.0 128000.0 0.0 0.0 4.0 -de 1 232 2030 132000.0 132000.0 0.0 0.0 4.0 -de 1 233 2030 136000.0 136000.0 0.0 0.0 4.0 -de 1 234 2030 140000.0 140000.0 0.0 0.0 4.0 -de 1 235 2030 144000.0 144000.0 0.0 0.0 4.0 -de 1 236 2030 148000.0 148000.0 0.0 0.0 4.0 -de 1 237 2030 152000.0 152000.0 0.0 0.0 4.0 -de 1 238 2030 156000.0 156000.0 0.0 0.0 4.0 -de 1 239 2030 160000.0 160000.0 0.0 0.0 4.0 -de 1 240 2030 164000.0 164000.0 0.0 0.0 4.0 -de 1 241 2030 168000.0 168000.0 0.0 0.0 4.0 -de 1 242 2030 172000.0 172000.0 0.0 0.0 4.0 -de 1 243 2030 176000.0 176000.0 0.0 0.0 4.0 -de 1 244 2030 180000.0 180000.0 0.0 0.0 4.0 -de 1 245 2030 184000.0 184000.0 0.0 0.0 4.0 -de 1 246 2030 188000.0 188000.0 0.0 0.0 4.0 -de 1 247 2030 192000.0 192000.0 0.0 0.0 4.0 -de 1 248 2030 196000.0 196000.0 0.0 0.0 4.0 -de 1 249 2030 200000.0 200000.0 0.0 0.0 4.0 -de 1 250 2030 205000.0 205000.0 0.0 0.0 5.0 -de 1 251 2030 210000.0 210000.0 0.0 0.0 5.0 -de 1 252 2030 215000.0 215000.0 0.0 0.0 5.0 -de 1 253 2030 220000.0 220000.0 0.0 0.0 5.0 -de 1 254 2030 225000.0 225000.0 0.0 0.0 5.0 -de 1 255 2030 230000.0 230000.0 0.0 0.0 5.0 -de 1 256 2030 235000.0 235000.0 0.0 0.0 5.0 -de 1 257 2030 240000.0 240000.0 0.0 0.0 5.0 -de 1 258 2030 245000.0 245000.0 0.0 0.0 5.0 -de 1 259 2030 250000.0 250000.0 0.0 0.0 5.0 -de 1 260 2030 255000.0 255000.0 0.0 0.0 5.0 -de 1 261 2030 260000.0 260000.0 0.0 0.0 5.0 -de 1 262 2030 265000.0 265000.0 0.0 0.0 5.0 -de 1 263 2030 270000.0 270000.0 0.0 0.0 5.0 -de 1 264 2030 275000.0 275000.0 0.0 0.0 5.0 -de 1 265 2030 280000.0 280000.0 0.0 0.0 5.0 -de 1 266 2030 285000.0 285000.0 0.0 0.0 5.0 -de 1 267 2030 290000.0 290000.0 0.0 0.0 5.0 -de 1 268 2030 295000.0 295000.0 0.0 0.0 5.0 -de 1 269 2030 300000.0 300000.0 0.0 0.0 5.0 -de 1 270 2030 306000.0 306000.0 0.0 0.0 6.0 -de 1 271 2030 312000.0 312000.0 0.0 0.0 6.0 -de 1 272 2030 318000.0 318000.0 0.0 0.0 6.0 -de 1 273 2030 324000.0 324000.0 0.0 0.0 6.0 -de 1 274 2030 330000.0 330000.0 0.0 0.0 6.0 -de 1 275 2030 336000.0 336000.0 0.0 0.0 6.0 -de 1 276 2030 342000.0 342000.0 0.0 0.0 6.0 -de 1 277 2030 348000.0 348000.0 0.0 0.0 6.0 -de 1 278 2030 354000.0 354000.0 0.0 0.0 6.0 -de 1 279 2030 360000.0 360000.0 0.0 0.0 6.0 -de 1 280 2030 366000.0 366000.0 0.0 0.0 6.0 -de 1 281 2030 372000.0 372000.0 0.0 0.0 6.0 -de 1 282 2030 378000.0 378000.0 0.0 0.0 6.0 -de 1 283 2030 384000.0 384000.0 0.0 0.0 6.0 -de 1 284 2030 390000.0 390000.0 0.0 0.0 6.0 -de 1 285 2030 396000.0 396000.0 0.0 0.0 6.0 -de 1 286 2030 402000.0 402000.0 0.0 0.0 6.0 -de 1 287 2030 408000.0 408000.0 0.0 0.0 6.0 -de 1 288 2030 414000.0 414000.0 0.0 0.0 6.0 -de 1 289 2030 420000.0 420000.0 0.0 0.0 6.0 -de 1 290 2030 427000.0 427000.0 0.0 0.0 7.0 -de 1 291 2030 434000.0 434000.0 0.0 0.0 7.0 -de 1 292 2030 441000.0 441000.0 0.0 0.0 7.0 -de 1 293 2030 448000.0 448000.0 0.0 0.0 7.0 -de 1 294 2030 455000.0 455000.0 0.0 0.0 7.0 -de 1 295 2030 462000.0 462000.0 0.0 0.0 7.0 -de 1 296 2030 469000.0 469000.0 0.0 0.0 7.0 -de 1 297 2030 476000.0 476000.0 0.0 0.0 7.0 -de 1 298 2030 483000.0 483000.0 0.0 0.0 7.0 -de 1 299 2030 490000.0 490000.0 0.0 0.0 7.0 -de 1 300 2030 497000.0 497000.0 0.0 0.0 7.0 -de 1 301 2030 504000.0 504000.0 0.0 0.0 7.0 -de 1 302 2030 511000.0 511000.0 0.0 0.0 7.0 -de 1 303 2030 518000.0 518000.0 0.0 0.0 7.0 -de 1 304 2030 525000.0 525000.0 0.0 0.0 7.0 -de 1 305 2030 532000.0 532000.0 0.0 0.0 7.0 -de 1 306 2030 539000.0 539000.0 0.0 0.0 7.0 -de 1 307 2030 546000.0 546000.0 0.0 0.0 7.0 -de 1 308 2030 553000.0 553000.0 0.0 0.0 7.0 -de 1 309 2030 560000.0 560000.0 0.0 0.0 7.0 -de 1 310 2030 568000.0 568000.0 0.0 0.0 8.0 -de 1 311 2030 576000.0 576000.0 0.0 0.0 8.0 -de 1 312 2030 584000.0 584000.0 0.0 0.0 8.0 -de 1 313 2030 592000.0 592000.0 0.0 0.0 8.0 -de 1 314 2030 600000.0 600000.0 0.0 0.0 8.0 -de 1 315 2030 608000.0 608000.0 0.0 0.0 8.0 -de 1 316 2030 616000.0 616000.0 0.0 0.0 8.0 -de 1 317 2030 624000.0 624000.0 0.0 0.0 8.0 -de 1 318 2030 632000.0 632000.0 0.0 0.0 8.0 -de 1 319 2030 640000.0 640000.0 0.0 0.0 8.0 -de 1 320 2030 648000.0 648000.0 0.0 0.0 8.0 -de 1 321 2030 656000.0 656000.0 0.0 0.0 8.0 -de 1 322 2030 664000.0 664000.0 0.0 0.0 8.0 -de 1 323 2030 672000.0 672000.0 0.0 0.0 8.0 -de 1 324 2030 680000.0 680000.0 0.0 0.0 8.0 -de 1 325 2030 688000.0 688000.0 0.0 0.0 8.0 -de 1 326 2030 696000.0 696000.0 0.0 0.0 8.0 -de 1 327 2030 704000.0 704000.0 0.0 0.0 8.0 -de 1 328 2030 712000.0 712000.0 0.0 0.0 8.0 -de 1 329 2030 720000.0 720000.0 0.0 0.0 8.0 -de 1 330 2030 729000.0 729000.0 0.0 0.0 9.0 -de 1 331 2030 738000.0 738000.0 0.0 0.0 9.0 -de 1 332 2030 747000.0 747000.0 0.0 0.0 9.0 -de 1 333 2030 756000.0 756000.0 0.0 0.0 9.0 -de 1 334 2030 765000.0 765000.0 0.0 0.0 9.0 -de 1 335 2030 774000.0 774000.0 0.0 0.0 9.0 -de 1 336 2030 783000.0 783000.0 0.0 0.0 9.0 -es 1 1 2030 0.0 0.0 0.0 0.0 0.0 -es 1 2 2030 1000.0 1000.0 0.0 0.0 1.0 -es 1 3 2030 2000.0 2000.0 0.0 0.0 1.0 -es 1 4 2030 3000.0 3000.0 0.0 0.0 1.0 -es 1 5 2030 4000.0 4000.0 0.0 0.0 1.0 -es 1 6 2030 5000.0 5000.0 0.0 0.0 1.0 -es 1 7 2030 6000.0 6000.0 0.0 0.0 1.0 -es 1 8 2030 7000.0 7000.0 0.0 0.0 1.0 -es 1 9 2030 8000.0 8000.0 0.0 0.0 1.0 -es 1 10 2030 9000.0 9000.0 0.0 0.0 1.0 -es 1 11 2030 10000.0 10000.0 0.0 0.0 1.0 -es 1 12 2030 11000.0 11000.0 0.0 0.0 1.0 -es 1 13 2030 12000.0 12000.0 0.0 0.0 1.0 -es 1 14 2030 13000.0 13000.0 0.0 0.0 1.0 -es 1 15 2030 14000.0 14000.0 0.0 0.0 1.0 -es 1 16 2030 15000.0 15000.0 0.0 0.0 1.0 -es 1 17 2030 16000.0 16000.0 0.0 0.0 1.0 -es 1 18 2030 17000.0 17000.0 0.0 0.0 1.0 -es 1 19 2030 18000.0 18000.0 0.0 0.0 1.0 -es 1 20 2030 19000.0 19000.0 0.0 0.0 1.0 -es 1 21 2030 20000.0 20000.0 0.0 0.0 1.0 -es 1 22 2030 22000.0 22000.0 0.0 0.0 2.0 -es 1 23 2030 24000.0 24000.0 0.0 0.0 2.0 -es 1 24 2030 26000.0 26000.0 0.0 0.0 2.0 -es 1 25 2030 28000.0 28000.0 0.0 0.0 2.0 -es 1 26 2030 30000.0 30000.0 0.0 0.0 2.0 -es 1 27 2030 32000.0 32000.0 0.0 0.0 2.0 -es 1 28 2030 34000.0 34000.0 0.0 0.0 2.0 -es 1 29 2030 36000.0 36000.0 0.0 0.0 2.0 -es 1 30 2030 38000.0 38000.0 0.0 0.0 2.0 -es 1 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236 2030 148000.0 148000.0 0.0 0.0 4.0 -es 1 237 2030 152000.0 152000.0 0.0 0.0 4.0 -es 1 238 2030 156000.0 156000.0 0.0 0.0 4.0 -es 1 239 2030 160000.0 160000.0 0.0 0.0 4.0 -es 1 240 2030 164000.0 164000.0 0.0 0.0 4.0 -es 1 241 2030 168000.0 168000.0 0.0 0.0 4.0 -es 1 242 2030 172000.0 172000.0 0.0 0.0 4.0 -es 1 243 2030 176000.0 176000.0 0.0 0.0 4.0 -es 1 244 2030 180000.0 180000.0 0.0 0.0 4.0 -es 1 245 2030 184000.0 184000.0 0.0 0.0 4.0 -es 1 246 2030 188000.0 188000.0 0.0 0.0 4.0 -es 1 247 2030 192000.0 192000.0 0.0 0.0 4.0 -es 1 248 2030 196000.0 196000.0 0.0 0.0 4.0 -es 1 249 2030 200000.0 200000.0 0.0 0.0 4.0 -es 1 250 2030 205000.0 205000.0 0.0 0.0 5.0 -es 1 251 2030 210000.0 210000.0 0.0 0.0 5.0 -es 1 252 2030 215000.0 215000.0 0.0 0.0 5.0 -es 1 253 2030 220000.0 220000.0 0.0 0.0 5.0 -es 1 254 2030 225000.0 225000.0 0.0 0.0 5.0 -es 1 255 2030 230000.0 230000.0 0.0 0.0 5.0 -es 1 256 2030 235000.0 235000.0 0.0 0.0 5.0 -es 1 257 2030 240000.0 240000.0 0.0 0.0 5.0 -es 1 258 2030 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366000.0 0.0 0.0 6.0 -es 1 281 2030 372000.0 372000.0 0.0 0.0 6.0 -es 1 282 2030 378000.0 378000.0 0.0 0.0 6.0 -es 1 283 2030 384000.0 384000.0 0.0 0.0 6.0 -es 1 284 2030 390000.0 390000.0 0.0 0.0 6.0 -es 1 285 2030 396000.0 396000.0 0.0 0.0 6.0 -es 1 286 2030 402000.0 402000.0 0.0 0.0 6.0 -es 1 287 2030 408000.0 408000.0 0.0 0.0 6.0 -es 1 288 2030 414000.0 414000.0 0.0 0.0 6.0 -es 1 289 2030 420000.0 420000.0 0.0 0.0 6.0 -es 1 290 2030 427000.0 427000.0 0.0 0.0 7.0 -es 1 291 2030 434000.0 434000.0 0.0 0.0 7.0 -es 1 292 2030 441000.0 441000.0 0.0 0.0 7.0 -es 1 293 2030 448000.0 448000.0 0.0 0.0 7.0 -es 1 294 2030 455000.0 455000.0 0.0 0.0 7.0 -es 1 295 2030 462000.0 462000.0 0.0 0.0 7.0 -es 1 296 2030 469000.0 469000.0 0.0 0.0 7.0 -es 1 297 2030 476000.0 476000.0 0.0 0.0 7.0 -es 1 298 2030 483000.0 483000.0 0.0 0.0 7.0 -es 1 299 2030 490000.0 490000.0 0.0 0.0 7.0 -es 1 300 2030 497000.0 497000.0 0.0 0.0 7.0 -es 1 301 2030 504000.0 504000.0 0.0 0.0 7.0 -es 1 302 2030 511000.0 511000.0 0.0 0.0 7.0 -es 1 303 2030 518000.0 518000.0 0.0 0.0 7.0 -es 1 304 2030 525000.0 525000.0 0.0 0.0 7.0 -es 1 305 2030 532000.0 532000.0 0.0 0.0 7.0 -es 1 306 2030 539000.0 539000.0 0.0 0.0 7.0 -es 1 307 2030 546000.0 546000.0 0.0 0.0 7.0 -es 1 308 2030 553000.0 553000.0 0.0 0.0 7.0 -es 1 309 2030 560000.0 560000.0 0.0 0.0 7.0 -es 1 310 2030 568000.0 568000.0 0.0 0.0 8.0 -es 1 311 2030 576000.0 576000.0 0.0 0.0 8.0 -es 1 312 2030 584000.0 584000.0 0.0 0.0 8.0 -es 1 313 2030 592000.0 592000.0 0.0 0.0 8.0 -es 1 314 2030 600000.0 600000.0 0.0 0.0 8.0 -es 1 315 2030 608000.0 608000.0 0.0 0.0 8.0 -es 1 316 2030 616000.0 616000.0 0.0 0.0 8.0 -es 1 317 2030 624000.0 624000.0 0.0 0.0 8.0 -es 1 318 2030 632000.0 632000.0 0.0 0.0 8.0 -es 1 319 2030 640000.0 640000.0 0.0 0.0 8.0 -es 1 320 2030 648000.0 648000.0 0.0 0.0 8.0 -es 1 321 2030 656000.0 656000.0 0.0 0.0 8.0 -es 1 322 2030 664000.0 664000.0 0.0 0.0 8.0 -es 1 323 2030 672000.0 672000.0 0.0 0.0 8.0 -es 1 324 2030 680000.0 680000.0 0.0 0.0 8.0 -es 1 325 2030 688000.0 688000.0 0.0 0.0 8.0 -es 1 326 2030 696000.0 696000.0 0.0 0.0 8.0 -es 1 327 2030 704000.0 704000.0 0.0 0.0 8.0 -es 1 328 2030 712000.0 712000.0 0.0 0.0 8.0 -es 1 329 2030 720000.0 720000.0 0.0 0.0 8.0 -es 1 330 2030 729000.0 729000.0 0.0 0.0 9.0 -es 1 331 2030 738000.0 738000.0 0.0 0.0 9.0 -es 1 332 2030 747000.0 747000.0 0.0 0.0 9.0 -es 1 333 2030 756000.0 756000.0 0.0 0.0 9.0 -es 1 334 2030 765000.0 765000.0 0.0 0.0 9.0 -es 1 335 2030 774000.0 774000.0 0.0 0.0 9.0 -es 1 336 2030 783000.0 783000.0 0.0 0.0 9.0 -fr 1 1 2030 0.0 0.0 0.0 0.0 0.0 -fr 1 2 2030 1000.0 1000.0 0.0 0.0 1.0 -fr 1 3 2030 2000.0 2000.0 0.0 0.0 1.0 -fr 1 4 2030 3000.0 3000.0 0.0 0.0 1.0 -fr 1 5 2030 4000.0 4000.0 0.0 0.0 1.0 -fr 1 6 2030 5000.0 5000.0 0.0 0.0 1.0 -fr 1 7 2030 6000.0 6000.0 0.0 0.0 1.0 -fr 1 8 2030 7000.0 7000.0 0.0 0.0 1.0 -fr 1 9 2030 8000.0 8000.0 0.0 0.0 1.0 -fr 1 10 2030 9000.0 9000.0 0.0 0.0 1.0 -fr 1 11 2030 10000.0 10000.0 0.0 0.0 1.0 -fr 1 12 2030 11000.0 11000.0 0.0 0.0 1.0 -fr 1 13 2030 12000.0 12000.0 0.0 0.0 1.0 -fr 1 14 2030 13000.0 13000.0 0.0 0.0 1.0 -fr 1 15 2030 14000.0 14000.0 0.0 0.0 1.0 -fr 1 16 2030 15000.0 15000.0 0.0 0.0 1.0 -fr 1 17 2030 16000.0 16000.0 0.0 0.0 1.0 -fr 1 18 2030 17000.0 17000.0 0.0 0.0 1.0 -fr 1 19 2030 18000.0 18000.0 0.0 0.0 1.0 -fr 1 20 2030 19000.0 19000.0 0.0 0.0 1.0 -fr 1 21 2030 20000.0 20000.0 0.0 0.0 1.0 -fr 1 22 2030 22000.0 22000.0 0.0 0.0 2.0 -fr 1 23 2030 24000.0 24000.0 0.0 0.0 2.0 -fr 1 24 2030 26000.0 26000.0 0.0 0.0 2.0 -fr 1 25 2030 28000.0 28000.0 0.0 0.0 2.0 -fr 1 26 2030 30000.0 30000.0 0.0 0.0 2.0 -fr 1 27 2030 32000.0 32000.0 0.0 0.0 2.0 -fr 1 28 2030 34000.0 34000.0 0.0 0.0 2.0 -fr 1 29 2030 36000.0 36000.0 0.0 0.0 2.0 -fr 1 30 2030 38000.0 38000.0 0.0 0.0 2.0 -fr 1 31 2030 40000.0 40000.0 0.0 0.0 2.0 -fr 1 32 2030 42000.0 42000.0 0.0 0.0 2.0 -fr 1 33 2030 44000.0 44000.0 0.0 0.0 2.0 -fr 1 34 2030 46000.0 46000.0 0.0 0.0 2.0 -fr 1 35 2030 48000.0 48000.0 0.0 0.0 2.0 -fr 1 36 2030 50000.0 50000.0 0.0 0.0 2.0 -fr 1 37 2030 52000.0 52000.0 0.0 0.0 2.0 -fr 1 38 2030 54000.0 54000.0 0.0 0.0 2.0 -fr 1 39 2030 56000.0 56000.0 0.0 0.0 2.0 -fr 1 40 2030 58000.0 58000.0 0.0 0.0 2.0 -fr 1 41 2030 60000.0 60000.0 0.0 0.0 2.0 -fr 1 42 2030 63000.0 63000.0 0.0 0.0 3.0 -fr 1 43 2030 66000.0 66000.0 0.0 0.0 3.0 -fr 1 44 2030 69000.0 69000.0 0.0 0.0 3.0 -fr 1 45 2030 72000.0 72000.0 0.0 0.0 3.0 -fr 1 46 2030 75000.0 75000.0 0.0 0.0 3.0 -fr 1 47 2030 78000.0 78000.0 0.0 0.0 3.0 -fr 1 48 2030 81000.0 81000.0 0.0 0.0 3.0 -fr 1 49 2030 84000.0 84000.0 0.0 0.0 3.0 -fr 1 50 2030 87000.0 87000.0 0.0 0.0 3.0 -fr 1 51 2030 90000.0 90000.0 0.0 0.0 3.0 -fr 1 52 2030 93000.0 93000.0 0.0 0.0 3.0 -fr 1 53 2030 96000.0 96000.0 0.0 0.0 3.0 -fr 1 54 2030 99000.0 99000.0 0.0 0.0 3.0 -fr 1 55 2030 102000.0 102000.0 0.0 0.0 3.0 -fr 1 56 2030 105000.0 105000.0 0.0 0.0 3.0 -fr 1 57 2030 108000.0 108000.0 0.0 0.0 3.0 -fr 1 58 2030 111000.0 111000.0 0.0 0.0 3.0 -fr 1 59 2030 114000.0 114000.0 0.0 0.0 3.0 -fr 1 60 2030 117000.0 117000.0 0.0 0.0 3.0 -fr 1 61 2030 120000.0 120000.0 0.0 0.0 3.0 -fr 1 62 2030 124000.0 124000.0 0.0 0.0 4.0 -fr 1 63 2030 128000.0 128000.0 0.0 0.0 4.0 -fr 1 64 2030 132000.0 132000.0 0.0 0.0 4.0 -fr 1 65 2030 136000.0 136000.0 0.0 0.0 4.0 -fr 1 66 2030 140000.0 140000.0 0.0 0.0 4.0 -fr 1 67 2030 144000.0 144000.0 0.0 0.0 4.0 -fr 1 68 2030 148000.0 148000.0 0.0 0.0 4.0 -fr 1 69 2030 152000.0 152000.0 0.0 0.0 4.0 -fr 1 70 2030 156000.0 156000.0 0.0 0.0 4.0 -fr 1 71 2030 160000.0 160000.0 0.0 0.0 4.0 -fr 1 72 2030 164000.0 164000.0 0.0 0.0 4.0 -fr 1 73 2030 168000.0 168000.0 0.0 0.0 4.0 -fr 1 74 2030 172000.0 172000.0 0.0 0.0 4.0 -fr 1 75 2030 176000.0 176000.0 0.0 0.0 4.0 -fr 1 76 2030 180000.0 180000.0 0.0 0.0 4.0 -fr 1 77 2030 184000.0 184000.0 0.0 0.0 4.0 -fr 1 78 2030 188000.0 188000.0 0.0 0.0 4.0 -fr 1 79 2030 192000.0 192000.0 0.0 0.0 4.0 -fr 1 80 2030 196000.0 196000.0 0.0 0.0 4.0 -fr 1 81 2030 200000.0 200000.0 0.0 0.0 4.0 -fr 1 82 2030 205000.0 205000.0 0.0 0.0 5.0 -fr 1 83 2030 210000.0 210000.0 0.0 0.0 5.0 -fr 1 84 2030 215000.0 215000.0 0.0 0.0 5.0 -fr 1 85 2030 220000.0 220000.0 0.0 0.0 5.0 -fr 1 86 2030 225000.0 225000.0 0.0 0.0 5.0 -fr 1 87 2030 230000.0 230000.0 0.0 0.0 5.0 -fr 1 88 2030 235000.0 235000.0 0.0 0.0 5.0 -fr 1 89 2030 240000.0 240000.0 0.0 0.0 5.0 -fr 1 90 2030 245000.0 245000.0 0.0 0.0 5.0 -fr 1 91 2030 250000.0 250000.0 0.0 0.0 5.0 -fr 1 92 2030 255000.0 255000.0 0.0 0.0 5.0 -fr 1 93 2030 260000.0 260000.0 0.0 0.0 5.0 -fr 1 94 2030 265000.0 265000.0 0.0 0.0 5.0 -fr 1 95 2030 270000.0 270000.0 0.0 0.0 5.0 -fr 1 96 2030 275000.0 275000.0 0.0 0.0 5.0 -fr 1 97 2030 280000.0 280000.0 0.0 0.0 5.0 -fr 1 98 2030 285000.0 285000.0 0.0 0.0 5.0 -fr 1 99 2030 290000.0 290000.0 0.0 0.0 5.0 -fr 1 100 2030 295000.0 295000.0 0.0 0.0 5.0 -fr 1 101 2030 300000.0 300000.0 0.0 0.0 5.0 -fr 1 102 2030 306000.0 306000.0 0.0 0.0 6.0 -fr 1 103 2030 312000.0 312000.0 0.0 0.0 6.0 -fr 1 104 2030 318000.0 318000.0 0.0 0.0 6.0 -fr 1 105 2030 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462000.0 0.0 0.0 7.0 -fr 1 128 2030 469000.0 469000.0 0.0 0.0 7.0 -fr 1 129 2030 476000.0 476000.0 0.0 0.0 7.0 -fr 1 130 2030 483000.0 483000.0 0.0 0.0 7.0 -fr 1 131 2030 490000.0 490000.0 0.0 0.0 7.0 -fr 1 132 2030 497000.0 497000.0 0.0 0.0 7.0 -fr 1 133 2030 504000.0 504000.0 0.0 0.0 7.0 -fr 1 134 2030 511000.0 511000.0 0.0 0.0 7.0 -fr 1 135 2030 518000.0 518000.0 0.0 0.0 7.0 -fr 1 136 2030 525000.0 525000.0 0.0 0.0 7.0 -fr 1 137 2030 532000.0 532000.0 0.0 0.0 7.0 -fr 1 138 2030 539000.0 539000.0 0.0 0.0 7.0 -fr 1 139 2030 546000.0 546000.0 0.0 0.0 7.0 -fr 1 140 2030 553000.0 553000.0 0.0 0.0 7.0 -fr 1 141 2030 560000.0 560000.0 0.0 0.0 7.0 -fr 1 142 2030 568000.0 568000.0 0.0 0.0 8.0 -fr 1 143 2030 576000.0 576000.0 0.0 0.0 8.0 -fr 1 144 2030 584000.0 584000.0 0.0 0.0 8.0 -fr 1 145 2030 592000.0 592000.0 0.0 0.0 8.0 -fr 1 146 2030 600000.0 600000.0 0.0 0.0 8.0 -fr 1 147 2030 608000.0 608000.0 0.0 0.0 8.0 -fr 1 148 2030 616000.0 616000.0 0.0 0.0 8.0 -fr 1 149 2030 624000.0 624000.0 0.0 0.0 8.0 -fr 1 150 2030 632000.0 632000.0 0.0 0.0 8.0 -fr 1 151 2030 640000.0 640000.0 0.0 0.0 8.0 -fr 1 152 2030 648000.0 648000.0 0.0 0.0 8.0 -fr 1 153 2030 656000.0 656000.0 0.0 0.0 8.0 -fr 1 154 2030 664000.0 664000.0 0.0 0.0 8.0 -fr 1 155 2030 672000.0 672000.0 0.0 0.0 8.0 -fr 1 156 2030 680000.0 680000.0 0.0 0.0 8.0 -fr 1 157 2030 688000.0 688000.0 0.0 0.0 8.0 -fr 1 158 2030 696000.0 696000.0 0.0 0.0 8.0 -fr 1 159 2030 704000.0 704000.0 0.0 0.0 8.0 -fr 1 160 2030 712000.0 712000.0 0.0 0.0 8.0 -fr 1 161 2030 720000.0 720000.0 0.0 0.0 8.0 -fr 1 162 2030 729000.0 729000.0 0.0 0.0 9.0 -fr 1 163 2030 738000.0 738000.0 0.0 0.0 9.0 -fr 1 164 2030 747000.0 747000.0 0.0 0.0 9.0 -fr 1 165 2030 756000.0 756000.0 0.0 0.0 9.0 -fr 1 166 2030 765000.0 765000.0 0.0 0.0 9.0 -fr 1 167 2030 774000.0 774000.0 0.0 0.0 9.0 -fr 1 168 2030 783000.0 783000.0 0.0 0.0 9.0 -fr 1 169 2030 0.0 0.0 0.0 0.0 0.0 -fr 1 170 2030 1000.0 1000.0 0.0 0.0 1.0 -fr 1 171 2030 2000.0 2000.0 0.0 0.0 1.0 -fr 1 172 2030 3000.0 3000.0 0.0 0.0 1.0 -fr 1 173 2030 4000.0 4000.0 0.0 0.0 1.0 -fr 1 174 2030 5000.0 5000.0 0.0 0.0 1.0 -fr 1 175 2030 6000.0 6000.0 0.0 0.0 1.0 -fr 1 176 2030 7000.0 7000.0 0.0 0.0 1.0 -fr 1 177 2030 8000.0 8000.0 0.0 0.0 1.0 -fr 1 178 2030 9000.0 9000.0 0.0 0.0 1.0 -fr 1 179 2030 10000.0 10000.0 0.0 0.0 1.0 -fr 1 180 2030 11000.0 11000.0 0.0 0.0 1.0 -fr 1 181 2030 12000.0 12000.0 0.0 0.0 1.0 -fr 1 182 2030 13000.0 13000.0 0.0 0.0 1.0 -fr 1 183 2030 14000.0 14000.0 0.0 0.0 1.0 -fr 1 184 2030 15000.0 15000.0 0.0 0.0 1.0 -fr 1 185 2030 16000.0 16000.0 0.0 0.0 1.0 -fr 1 186 2030 17000.0 17000.0 0.0 0.0 1.0 -fr 1 187 2030 18000.0 18000.0 0.0 0.0 1.0 -fr 1 188 2030 19000.0 19000.0 0.0 0.0 1.0 -fr 1 189 2030 20000.0 20000.0 0.0 0.0 1.0 -fr 1 190 2030 22000.0 22000.0 0.0 0.0 2.0 -fr 1 191 2030 24000.0 24000.0 0.0 0.0 2.0 -fr 1 192 2030 26000.0 26000.0 0.0 0.0 2.0 -fr 1 193 2030 28000.0 28000.0 0.0 0.0 2.0 -fr 1 194 2030 30000.0 30000.0 0.0 0.0 2.0 -fr 1 195 2030 32000.0 32000.0 0.0 0.0 2.0 -fr 1 196 2030 34000.0 34000.0 0.0 0.0 2.0 -fr 1 197 2030 36000.0 36000.0 0.0 0.0 2.0 -fr 1 198 2030 38000.0 38000.0 0.0 0.0 2.0 -fr 1 199 2030 40000.0 40000.0 0.0 0.0 2.0 -fr 1 200 2030 42000.0 42000.0 0.0 0.0 2.0 -fr 1 201 2030 44000.0 44000.0 0.0 0.0 2.0 -fr 1 202 2030 46000.0 46000.0 0.0 0.0 2.0 -fr 1 203 2030 48000.0 48000.0 0.0 0.0 2.0 -fr 1 204 2030 50000.0 50000.0 0.0 0.0 2.0 -fr 1 205 2030 52000.0 52000.0 0.0 0.0 2.0 -fr 1 206 2030 54000.0 54000.0 0.0 0.0 2.0 -fr 1 207 2030 56000.0 56000.0 0.0 0.0 2.0 -fr 1 208 2030 58000.0 58000.0 0.0 0.0 2.0 -fr 1 209 2030 60000.0 60000.0 0.0 0.0 2.0 -fr 1 210 2030 63000.0 63000.0 0.0 0.0 3.0 -fr 1 211 2030 66000.0 66000.0 0.0 0.0 3.0 -fr 1 212 2030 69000.0 69000.0 0.0 0.0 3.0 -fr 1 213 2030 72000.0 72000.0 0.0 0.0 3.0 -fr 1 214 2030 75000.0 75000.0 0.0 0.0 3.0 -fr 1 215 2030 78000.0 78000.0 0.0 0.0 3.0 -fr 1 216 2030 81000.0 81000.0 0.0 0.0 3.0 -fr 1 217 2030 84000.0 84000.0 0.0 0.0 3.0 -fr 1 218 2030 87000.0 87000.0 0.0 0.0 3.0 -fr 1 219 2030 90000.0 90000.0 0.0 0.0 3.0 -fr 1 220 2030 93000.0 93000.0 0.0 0.0 3.0 -fr 1 221 2030 96000.0 96000.0 0.0 0.0 3.0 -fr 1 222 2030 99000.0 99000.0 0.0 0.0 3.0 -fr 1 223 2030 102000.0 102000.0 0.0 0.0 3.0 -fr 1 224 2030 105000.0 105000.0 0.0 0.0 3.0 -fr 1 225 2030 108000.0 108000.0 0.0 0.0 3.0 -fr 1 226 2030 111000.0 111000.0 0.0 0.0 3.0 -fr 1 227 2030 114000.0 114000.0 0.0 0.0 3.0 -fr 1 228 2030 117000.0 117000.0 0.0 0.0 3.0 -fr 1 229 2030 120000.0 120000.0 0.0 0.0 3.0 -fr 1 230 2030 124000.0 124000.0 0.0 0.0 4.0 -fr 1 231 2030 128000.0 128000.0 0.0 0.0 4.0 -fr 1 232 2030 132000.0 132000.0 0.0 0.0 4.0 -fr 1 233 2030 136000.0 136000.0 0.0 0.0 4.0 -fr 1 234 2030 140000.0 140000.0 0.0 0.0 4.0 -fr 1 235 2030 144000.0 144000.0 0.0 0.0 4.0 -fr 1 236 2030 148000.0 148000.0 0.0 0.0 4.0 -fr 1 237 2030 152000.0 152000.0 0.0 0.0 4.0 -fr 1 238 2030 156000.0 156000.0 0.0 0.0 4.0 -fr 1 239 2030 160000.0 160000.0 0.0 0.0 4.0 -fr 1 240 2030 164000.0 164000.0 0.0 0.0 4.0 -fr 1 241 2030 168000.0 168000.0 0.0 0.0 4.0 -fr 1 242 2030 172000.0 172000.0 0.0 0.0 4.0 -fr 1 243 2030 176000.0 176000.0 0.0 0.0 4.0 -fr 1 244 2030 180000.0 180000.0 0.0 0.0 4.0 -fr 1 245 2030 184000.0 184000.0 0.0 0.0 4.0 -fr 1 246 2030 188000.0 188000.0 0.0 0.0 4.0 -fr 1 247 2030 192000.0 192000.0 0.0 0.0 4.0 -fr 1 248 2030 196000.0 196000.0 0.0 0.0 4.0 -fr 1 249 2030 200000.0 200000.0 0.0 0.0 4.0 -fr 1 250 2030 205000.0 205000.0 0.0 0.0 5.0 -fr 1 251 2030 210000.0 210000.0 0.0 0.0 5.0 -fr 1 252 2030 215000.0 215000.0 0.0 0.0 5.0 -fr 1 253 2030 220000.0 220000.0 0.0 0.0 5.0 -fr 1 254 2030 225000.0 225000.0 0.0 0.0 5.0 -fr 1 255 2030 230000.0 230000.0 0.0 0.0 5.0 -fr 1 256 2030 235000.0 235000.0 0.0 0.0 5.0 -fr 1 257 2030 240000.0 240000.0 0.0 0.0 5.0 -fr 1 258 2030 245000.0 245000.0 0.0 0.0 5.0 -fr 1 259 2030 250000.0 250000.0 0.0 0.0 5.0 -fr 1 260 2030 255000.0 255000.0 0.0 0.0 5.0 -fr 1 261 2030 260000.0 260000.0 0.0 0.0 5.0 -fr 1 262 2030 265000.0 265000.0 0.0 0.0 5.0 -fr 1 263 2030 270000.0 270000.0 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138 2030 539000.0 539000.0 0.0 0.0 7.0 -de 2 139 2030 546000.0 546000.0 0.0 0.0 7.0 -de 2 140 2030 553000.0 553000.0 0.0 0.0 7.0 -de 2 141 2030 560000.0 560000.0 0.0 0.0 7.0 -de 2 142 2030 568000.0 568000.0 0.0 0.0 8.0 -de 2 143 2030 576000.0 576000.0 0.0 0.0 8.0 -de 2 144 2030 584000.0 584000.0 0.0 0.0 8.0 -de 2 145 2030 592000.0 592000.0 0.0 0.0 8.0 -de 2 146 2030 600000.0 600000.0 0.0 0.0 8.0 -de 2 147 2030 608000.0 608000.0 0.0 0.0 8.0 -de 2 148 2030 616000.0 616000.0 0.0 0.0 8.0 -de 2 149 2030 624000.0 624000.0 0.0 0.0 8.0 -de 2 150 2030 632000.0 632000.0 0.0 0.0 8.0 -de 2 151 2030 640000.0 640000.0 0.0 0.0 8.0 -de 2 152 2030 648000.0 648000.0 0.0 0.0 8.0 -de 2 153 2030 656000.0 656000.0 0.0 0.0 8.0 -de 2 154 2030 664000.0 664000.0 0.0 0.0 8.0 -de 2 155 2030 672000.0 672000.0 0.0 0.0 8.0 -de 2 156 2030 680000.0 680000.0 0.0 0.0 8.0 -de 2 157 2030 688000.0 688000.0 0.0 0.0 8.0 -de 2 158 2030 696000.0 696000.0 0.0 0.0 8.0 -de 2 159 2030 704000.0 704000.0 0.0 0.0 8.0 -de 2 160 2030 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0.0 1.0 -de 2 184 2030 15000.0 15000.0 0.0 0.0 1.0 -de 2 185 2030 16000.0 16000.0 0.0 0.0 1.0 -de 2 186 2030 17000.0 17000.0 0.0 0.0 1.0 -de 2 187 2030 18000.0 18000.0 0.0 0.0 1.0 -de 2 188 2030 19000.0 19000.0 0.0 0.0 1.0 -de 2 189 2030 20000.0 20000.0 0.0 0.0 1.0 -de 2 190 2030 22000.0 22000.0 0.0 0.0 2.0 -de 2 191 2030 24000.0 24000.0 0.0 0.0 2.0 -de 2 192 2030 26000.0 26000.0 0.0 0.0 2.0 -de 2 193 2030 28000.0 28000.0 0.0 0.0 2.0 -de 2 194 2030 30000.0 30000.0 0.0 0.0 2.0 -de 2 195 2030 32000.0 32000.0 0.0 0.0 2.0 -de 2 196 2030 34000.0 34000.0 0.0 0.0 2.0 -de 2 197 2030 36000.0 36000.0 0.0 0.0 2.0 -de 2 198 2030 38000.0 38000.0 0.0 0.0 2.0 -de 2 199 2030 40000.0 40000.0 0.0 0.0 2.0 -de 2 200 2030 42000.0 42000.0 0.0 0.0 2.0 -de 2 201 2030 44000.0 44000.0 0.0 0.0 2.0 -de 2 202 2030 46000.0 46000.0 0.0 0.0 2.0 -de 2 203 2030 48000.0 48000.0 0.0 0.0 2.0 -de 2 204 2030 50000.0 50000.0 0.0 0.0 2.0 -de 2 205 2030 52000.0 52000.0 0.0 0.0 2.0 -de 2 206 2030 54000.0 54000.0 0.0 0.0 2.0 -de 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2030 215000.0 215000.0 0.0 0.0 5.0 -de 2 253 2030 220000.0 220000.0 0.0 0.0 5.0 -de 2 254 2030 225000.0 225000.0 0.0 0.0 5.0 -de 2 255 2030 230000.0 230000.0 0.0 0.0 5.0 -de 2 256 2030 235000.0 235000.0 0.0 0.0 5.0 -de 2 257 2030 240000.0 240000.0 0.0 0.0 5.0 -de 2 258 2030 245000.0 245000.0 0.0 0.0 5.0 -de 2 259 2030 250000.0 250000.0 0.0 0.0 5.0 -de 2 260 2030 255000.0 255000.0 0.0 0.0 5.0 -de 2 261 2030 260000.0 260000.0 0.0 0.0 5.0 -de 2 262 2030 265000.0 265000.0 0.0 0.0 5.0 -de 2 263 2030 270000.0 270000.0 0.0 0.0 5.0 -de 2 264 2030 275000.0 275000.0 0.0 0.0 5.0 -de 2 265 2030 280000.0 280000.0 0.0 0.0 5.0 -de 2 266 2030 285000.0 285000.0 0.0 0.0 5.0 -de 2 267 2030 290000.0 290000.0 0.0 0.0 5.0 -de 2 268 2030 295000.0 295000.0 0.0 0.0 5.0 -de 2 269 2030 300000.0 300000.0 0.0 0.0 5.0 -de 2 270 2030 306000.0 306000.0 0.0 0.0 6.0 -de 2 271 2030 312000.0 312000.0 0.0 0.0 6.0 -de 2 272 2030 318000.0 318000.0 0.0 0.0 6.0 -de 2 273 2030 324000.0 324000.0 0.0 0.0 6.0 -de 2 274 2030 330000.0 330000.0 0.0 0.0 6.0 -de 2 275 2030 336000.0 336000.0 0.0 0.0 6.0 -de 2 276 2030 342000.0 342000.0 0.0 0.0 6.0 -de 2 277 2030 348000.0 348000.0 0.0 0.0 6.0 -de 2 278 2030 354000.0 354000.0 0.0 0.0 6.0 -de 2 279 2030 360000.0 360000.0 0.0 0.0 6.0 -de 2 280 2030 366000.0 366000.0 0.0 0.0 6.0 -de 2 281 2030 372000.0 372000.0 0.0 0.0 6.0 -de 2 282 2030 378000.0 378000.0 0.0 0.0 6.0 -de 2 283 2030 384000.0 384000.0 0.0 0.0 6.0 -de 2 284 2030 390000.0 390000.0 0.0 0.0 6.0 -de 2 285 2030 396000.0 396000.0 0.0 0.0 6.0 -de 2 286 2030 402000.0 402000.0 0.0 0.0 6.0 -de 2 287 2030 408000.0 408000.0 0.0 0.0 6.0 -de 2 288 2030 414000.0 414000.0 0.0 0.0 6.0 -de 2 289 2030 420000.0 420000.0 0.0 0.0 6.0 -de 2 290 2030 427000.0 427000.0 0.0 0.0 7.0 -de 2 291 2030 434000.0 434000.0 0.0 0.0 7.0 -de 2 292 2030 441000.0 441000.0 0.0 0.0 7.0 -de 2 293 2030 448000.0 448000.0 0.0 0.0 7.0 -de 2 294 2030 455000.0 455000.0 0.0 0.0 7.0 -de 2 295 2030 462000.0 462000.0 0.0 0.0 7.0 -de 2 296 2030 469000.0 469000.0 0.0 0.0 7.0 -de 2 297 2030 476000.0 476000.0 0.0 0.0 7.0 -de 2 298 2030 483000.0 483000.0 0.0 0.0 7.0 -de 2 299 2030 490000.0 490000.0 0.0 0.0 7.0 -de 2 300 2030 497000.0 497000.0 0.0 0.0 7.0 -de 2 301 2030 504000.0 504000.0 0.0 0.0 7.0 -de 2 302 2030 511000.0 511000.0 0.0 0.0 7.0 -de 2 303 2030 518000.0 518000.0 0.0 0.0 7.0 -de 2 304 2030 525000.0 525000.0 0.0 0.0 7.0 -de 2 305 2030 532000.0 532000.0 0.0 0.0 7.0 -de 2 306 2030 539000.0 539000.0 0.0 0.0 7.0 -de 2 307 2030 546000.0 546000.0 0.0 0.0 7.0 -de 2 308 2030 553000.0 553000.0 0.0 0.0 7.0 -de 2 309 2030 560000.0 560000.0 0.0 0.0 7.0 -de 2 310 2030 568000.0 568000.0 0.0 0.0 8.0 -de 2 311 2030 576000.0 576000.0 0.0 0.0 8.0 -de 2 312 2030 584000.0 584000.0 0.0 0.0 8.0 -de 2 313 2030 592000.0 592000.0 0.0 0.0 8.0 -de 2 314 2030 600000.0 600000.0 0.0 0.0 8.0 -de 2 315 2030 608000.0 608000.0 0.0 0.0 8.0 -de 2 316 2030 616000.0 616000.0 0.0 0.0 8.0 -de 2 317 2030 624000.0 624000.0 0.0 0.0 8.0 -de 2 318 2030 632000.0 632000.0 0.0 0.0 8.0 -de 2 319 2030 640000.0 640000.0 0.0 0.0 8.0 -de 2 320 2030 648000.0 648000.0 0.0 0.0 8.0 -de 2 321 2030 656000.0 656000.0 0.0 0.0 8.0 -de 2 322 2030 664000.0 664000.0 0.0 0.0 8.0 -de 2 323 2030 672000.0 672000.0 0.0 0.0 8.0 -de 2 324 2030 680000.0 680000.0 0.0 0.0 8.0 -de 2 325 2030 688000.0 688000.0 0.0 0.0 8.0 -de 2 326 2030 696000.0 696000.0 0.0 0.0 8.0 -de 2 327 2030 704000.0 704000.0 0.0 0.0 8.0 -de 2 328 2030 712000.0 712000.0 0.0 0.0 8.0 -de 2 329 2030 720000.0 720000.0 0.0 0.0 8.0 -de 2 330 2030 729000.0 729000.0 0.0 0.0 9.0 -de 2 331 2030 738000.0 738000.0 0.0 0.0 9.0 -de 2 332 2030 747000.0 747000.0 0.0 0.0 9.0 -de 2 333 2030 756000.0 756000.0 0.0 0.0 9.0 -de 2 334 2030 765000.0 765000.0 0.0 0.0 9.0 -de 2 335 2030 774000.0 774000.0 0.0 0.0 9.0 -de 2 336 2030 783000.0 783000.0 0.0 0.0 9.0 -es 2 1 2030 0.0 0.0 0.0 0.0 0.0 -es 2 2 2030 1000.0 1000.0 0.0 0.0 1.0 -es 2 3 2030 2000.0 2000.0 0.0 0.0 1.0 -es 2 4 2030 3000.0 3000.0 0.0 0.0 1.0 -es 2 5 2030 4000.0 4000.0 0.0 0.0 1.0 -es 2 6 2030 5000.0 5000.0 0.0 0.0 1.0 -es 2 7 2030 6000.0 6000.0 0.0 0.0 1.0 -es 2 8 2030 7000.0 7000.0 0.0 0.0 1.0 -es 2 9 2030 8000.0 8000.0 0.0 0.0 1.0 -es 2 10 2030 9000.0 9000.0 0.0 0.0 1.0 -es 2 11 2030 10000.0 10000.0 0.0 0.0 1.0 -es 2 12 2030 11000.0 11000.0 0.0 0.0 1.0 -es 2 13 2030 12000.0 12000.0 0.0 0.0 1.0 -es 2 14 2030 13000.0 13000.0 0.0 0.0 1.0 -es 2 15 2030 14000.0 14000.0 0.0 0.0 1.0 -es 2 16 2030 15000.0 15000.0 0.0 0.0 1.0 -es 2 17 2030 16000.0 16000.0 0.0 0.0 1.0 -es 2 18 2030 17000.0 17000.0 0.0 0.0 1.0 -es 2 19 2030 18000.0 18000.0 0.0 0.0 1.0 -es 2 20 2030 19000.0 19000.0 0.0 0.0 1.0 -es 2 21 2030 20000.0 20000.0 0.0 0.0 1.0 -es 2 22 2030 22000.0 22000.0 0.0 0.0 2.0 -es 2 23 2030 24000.0 24000.0 0.0 0.0 2.0 -es 2 24 2030 26000.0 26000.0 0.0 0.0 2.0 -es 2 25 2030 28000.0 28000.0 0.0 0.0 2.0 -es 2 26 2030 30000.0 30000.0 0.0 0.0 2.0 -es 2 27 2030 32000.0 32000.0 0.0 0.0 2.0 -es 2 28 2030 34000.0 34000.0 0.0 0.0 2.0 -es 2 29 2030 36000.0 36000.0 0.0 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2030 420000.0 420000.0 0.0 0.0 6.0 -es 2 122 2030 427000.0 427000.0 0.0 0.0 7.0 -es 2 123 2030 434000.0 434000.0 0.0 0.0 7.0 -es 2 124 2030 441000.0 441000.0 0.0 0.0 7.0 -es 2 125 2030 448000.0 448000.0 0.0 0.0 7.0 -es 2 126 2030 455000.0 455000.0 0.0 0.0 7.0 -es 2 127 2030 462000.0 462000.0 0.0 0.0 7.0 -es 2 128 2030 469000.0 469000.0 0.0 0.0 7.0 -es 2 129 2030 476000.0 476000.0 0.0 0.0 7.0 -es 2 130 2030 483000.0 483000.0 0.0 0.0 7.0 -es 2 131 2030 490000.0 490000.0 0.0 0.0 7.0 -es 2 132 2030 497000.0 497000.0 0.0 0.0 7.0 -es 2 133 2030 504000.0 504000.0 0.0 0.0 7.0 -es 2 134 2030 511000.0 511000.0 0.0 0.0 7.0 -es 2 135 2030 518000.0 518000.0 0.0 0.0 7.0 -es 2 136 2030 525000.0 525000.0 0.0 0.0 7.0 -es 2 137 2030 532000.0 532000.0 0.0 0.0 7.0 -es 2 138 2030 539000.0 539000.0 0.0 0.0 7.0 -es 2 139 2030 546000.0 546000.0 0.0 0.0 7.0 -es 2 140 2030 553000.0 553000.0 0.0 0.0 7.0 -es 2 141 2030 560000.0 560000.0 0.0 0.0 7.0 -es 2 142 2030 568000.0 568000.0 0.0 0.0 8.0 -es 2 143 2030 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756000.0 0.0 0.0 9.0 -es 2 166 2030 765000.0 765000.0 0.0 0.0 9.0 -es 2 167 2030 774000.0 774000.0 0.0 0.0 9.0 -es 2 168 2030 783000.0 783000.0 0.0 0.0 9.0 -es 2 169 2030 0.0 0.0 0.0 0.0 0.0 -es 2 170 2030 1000.0 1000.0 0.0 0.0 1.0 -es 2 171 2030 2000.0 2000.0 0.0 0.0 1.0 -es 2 172 2030 3000.0 3000.0 0.0 0.0 1.0 -es 2 173 2030 4000.0 4000.0 0.0 0.0 1.0 -es 2 174 2030 5000.0 5000.0 0.0 0.0 1.0 -es 2 175 2030 6000.0 6000.0 0.0 0.0 1.0 -es 2 176 2030 7000.0 7000.0 0.0 0.0 1.0 -es 2 177 2030 8000.0 8000.0 0.0 0.0 1.0 -es 2 178 2030 9000.0 9000.0 0.0 0.0 1.0 -es 2 179 2030 10000.0 10000.0 0.0 0.0 1.0 -es 2 180 2030 11000.0 11000.0 0.0 0.0 1.0 -es 2 181 2030 12000.0 12000.0 0.0 0.0 1.0 -es 2 182 2030 13000.0 13000.0 0.0 0.0 1.0 -es 2 183 2030 14000.0 14000.0 0.0 0.0 1.0 -es 2 184 2030 15000.0 15000.0 0.0 0.0 1.0 -es 2 185 2030 16000.0 16000.0 0.0 0.0 1.0 -es 2 186 2030 17000.0 17000.0 0.0 0.0 1.0 -es 2 187 2030 18000.0 18000.0 0.0 0.0 1.0 -es 2 188 2030 19000.0 19000.0 0.0 0.0 1.0 -es 2 189 2030 20000.0 20000.0 0.0 0.0 1.0 -es 2 190 2030 22000.0 22000.0 0.0 0.0 2.0 -es 2 191 2030 24000.0 24000.0 0.0 0.0 2.0 -es 2 192 2030 26000.0 26000.0 0.0 0.0 2.0 -es 2 193 2030 28000.0 28000.0 0.0 0.0 2.0 -es 2 194 2030 30000.0 30000.0 0.0 0.0 2.0 -es 2 195 2030 32000.0 32000.0 0.0 0.0 2.0 -es 2 196 2030 34000.0 34000.0 0.0 0.0 2.0 -es 2 197 2030 36000.0 36000.0 0.0 0.0 2.0 -es 2 198 2030 38000.0 38000.0 0.0 0.0 2.0 -es 2 199 2030 40000.0 40000.0 0.0 0.0 2.0 -es 2 200 2030 42000.0 42000.0 0.0 0.0 2.0 -es 2 201 2030 44000.0 44000.0 0.0 0.0 2.0 -es 2 202 2030 46000.0 46000.0 0.0 0.0 2.0 -es 2 203 2030 48000.0 48000.0 0.0 0.0 2.0 -es 2 204 2030 50000.0 50000.0 0.0 0.0 2.0 -es 2 205 2030 52000.0 52000.0 0.0 0.0 2.0 -es 2 206 2030 54000.0 54000.0 0.0 0.0 2.0 -es 2 207 2030 56000.0 56000.0 0.0 0.0 2.0 -es 2 208 2030 58000.0 58000.0 0.0 0.0 2.0 -es 2 209 2030 60000.0 60000.0 0.0 0.0 2.0 -es 2 210 2030 63000.0 63000.0 0.0 0.0 3.0 -es 2 211 2030 66000.0 66000.0 0.0 0.0 3.0 -es 2 212 2030 69000.0 69000.0 0.0 0.0 3.0 -es 2 213 2030 72000.0 72000.0 0.0 0.0 3.0 -es 2 214 2030 75000.0 75000.0 0.0 0.0 3.0 -es 2 215 2030 78000.0 78000.0 0.0 0.0 3.0 -es 2 216 2030 81000.0 81000.0 0.0 0.0 3.0 -es 2 217 2030 84000.0 84000.0 0.0 0.0 3.0 -es 2 218 2030 87000.0 87000.0 0.0 0.0 3.0 -es 2 219 2030 90000.0 90000.0 0.0 0.0 3.0 -es 2 220 2030 93000.0 93000.0 0.0 0.0 3.0 -es 2 221 2030 96000.0 96000.0 0.0 0.0 3.0 -es 2 222 2030 99000.0 99000.0 0.0 0.0 3.0 -es 2 223 2030 102000.0 102000.0 0.0 0.0 3.0 -es 2 224 2030 105000.0 105000.0 0.0 0.0 3.0 -es 2 225 2030 108000.0 108000.0 0.0 0.0 3.0 -es 2 226 2030 111000.0 111000.0 0.0 0.0 3.0 -es 2 227 2030 114000.0 114000.0 0.0 0.0 3.0 -es 2 228 2030 117000.0 117000.0 0.0 0.0 3.0 -es 2 229 2030 120000.0 120000.0 0.0 0.0 3.0 -es 2 230 2030 124000.0 124000.0 0.0 0.0 4.0 -es 2 231 2030 128000.0 128000.0 0.0 0.0 4.0 -es 2 232 2030 132000.0 132000.0 0.0 0.0 4.0 -es 2 233 2030 136000.0 136000.0 0.0 0.0 4.0 -es 2 234 2030 140000.0 140000.0 0.0 0.0 4.0 -es 2 235 2030 144000.0 144000.0 0.0 0.0 4.0 -es 2 236 2030 148000.0 148000.0 0.0 0.0 4.0 -es 2 237 2030 152000.0 152000.0 0.0 0.0 4.0 -es 2 238 2030 156000.0 156000.0 0.0 0.0 4.0 -es 2 239 2030 160000.0 160000.0 0.0 0.0 4.0 -es 2 240 2030 164000.0 164000.0 0.0 0.0 4.0 -es 2 241 2030 168000.0 168000.0 0.0 0.0 4.0 -es 2 242 2030 172000.0 172000.0 0.0 0.0 4.0 -es 2 243 2030 176000.0 176000.0 0.0 0.0 4.0 -es 2 244 2030 180000.0 180000.0 0.0 0.0 4.0 -es 2 245 2030 184000.0 184000.0 0.0 0.0 4.0 -es 2 246 2030 188000.0 188000.0 0.0 0.0 4.0 -es 2 247 2030 192000.0 192000.0 0.0 0.0 4.0 -es 2 248 2030 196000.0 196000.0 0.0 0.0 4.0 -es 2 249 2030 200000.0 200000.0 0.0 0.0 4.0 -es 2 250 2030 205000.0 205000.0 0.0 0.0 5.0 -es 2 251 2030 210000.0 210000.0 0.0 0.0 5.0 -es 2 252 2030 215000.0 215000.0 0.0 0.0 5.0 -es 2 253 2030 220000.0 220000.0 0.0 0.0 5.0 -es 2 254 2030 225000.0 225000.0 0.0 0.0 5.0 -es 2 255 2030 230000.0 230000.0 0.0 0.0 5.0 -es 2 256 2030 235000.0 235000.0 0.0 0.0 5.0 -es 2 257 2030 240000.0 240000.0 0.0 0.0 5.0 -es 2 258 2030 245000.0 245000.0 0.0 0.0 5.0 -es 2 259 2030 250000.0 250000.0 0.0 0.0 5.0 -es 2 260 2030 255000.0 255000.0 0.0 0.0 5.0 -es 2 261 2030 260000.0 260000.0 0.0 0.0 5.0 -es 2 262 2030 265000.0 265000.0 0.0 0.0 5.0 -es 2 263 2030 270000.0 270000.0 0.0 0.0 5.0 -es 2 264 2030 275000.0 275000.0 0.0 0.0 5.0 -es 2 265 2030 280000.0 280000.0 0.0 0.0 5.0 -es 2 266 2030 285000.0 285000.0 0.0 0.0 5.0 -es 2 267 2030 290000.0 290000.0 0.0 0.0 5.0 -es 2 268 2030 295000.0 295000.0 0.0 0.0 5.0 -es 2 269 2030 300000.0 300000.0 0.0 0.0 5.0 -es 2 270 2030 306000.0 306000.0 0.0 0.0 6.0 -es 2 271 2030 312000.0 312000.0 0.0 0.0 6.0 -es 2 272 2030 318000.0 318000.0 0.0 0.0 6.0 -es 2 273 2030 324000.0 324000.0 0.0 0.0 6.0 -es 2 274 2030 330000.0 330000.0 0.0 0.0 6.0 -es 2 275 2030 336000.0 336000.0 0.0 0.0 6.0 -es 2 276 2030 342000.0 342000.0 0.0 0.0 6.0 -es 2 277 2030 348000.0 348000.0 0.0 0.0 6.0 -es 2 278 2030 354000.0 354000.0 0.0 0.0 6.0 -es 2 279 2030 360000.0 360000.0 0.0 0.0 6.0 -es 2 280 2030 366000.0 366000.0 0.0 0.0 6.0 -es 2 281 2030 372000.0 372000.0 0.0 0.0 6.0 -es 2 282 2030 378000.0 378000.0 0.0 0.0 6.0 -es 2 283 2030 384000.0 384000.0 0.0 0.0 6.0 -es 2 284 2030 390000.0 390000.0 0.0 0.0 6.0 -es 2 285 2030 396000.0 396000.0 0.0 0.0 6.0 -es 2 286 2030 402000.0 402000.0 0.0 0.0 6.0 -es 2 287 2030 408000.0 408000.0 0.0 0.0 6.0 -es 2 288 2030 414000.0 414000.0 0.0 0.0 6.0 -es 2 289 2030 420000.0 420000.0 0.0 0.0 6.0 -es 2 290 2030 427000.0 427000.0 0.0 0.0 7.0 -es 2 291 2030 434000.0 434000.0 0.0 0.0 7.0 -es 2 292 2030 441000.0 441000.0 0.0 0.0 7.0 -es 2 293 2030 448000.0 448000.0 0.0 0.0 7.0 -es 2 294 2030 455000.0 455000.0 0.0 0.0 7.0 -es 2 295 2030 462000.0 462000.0 0.0 0.0 7.0 -es 2 296 2030 469000.0 469000.0 0.0 0.0 7.0 -es 2 297 2030 476000.0 476000.0 0.0 0.0 7.0 -es 2 298 2030 483000.0 483000.0 0.0 0.0 7.0 -es 2 299 2030 490000.0 490000.0 0.0 0.0 7.0 -es 2 300 2030 497000.0 497000.0 0.0 0.0 7.0 -es 2 301 2030 504000.0 504000.0 0.0 0.0 7.0 -es 2 302 2030 511000.0 511000.0 0.0 0.0 7.0 -es 2 303 2030 518000.0 518000.0 0.0 0.0 7.0 -es 2 304 2030 525000.0 525000.0 0.0 0.0 7.0 -es 2 305 2030 532000.0 532000.0 0.0 0.0 7.0 -es 2 306 2030 539000.0 539000.0 0.0 0.0 7.0 -es 2 307 2030 546000.0 546000.0 0.0 0.0 7.0 -es 2 308 2030 553000.0 553000.0 0.0 0.0 7.0 -es 2 309 2030 560000.0 560000.0 0.0 0.0 7.0 -es 2 310 2030 568000.0 568000.0 0.0 0.0 8.0 -es 2 311 2030 576000.0 576000.0 0.0 0.0 8.0 -es 2 312 2030 584000.0 584000.0 0.0 0.0 8.0 -es 2 313 2030 592000.0 592000.0 0.0 0.0 8.0 -es 2 314 2030 600000.0 600000.0 0.0 0.0 8.0 -es 2 315 2030 608000.0 608000.0 0.0 0.0 8.0 -es 2 316 2030 616000.0 616000.0 0.0 0.0 8.0 -es 2 317 2030 624000.0 624000.0 0.0 0.0 8.0 -es 2 318 2030 632000.0 632000.0 0.0 0.0 8.0 -es 2 319 2030 640000.0 640000.0 0.0 0.0 8.0 -es 2 320 2030 648000.0 648000.0 0.0 0.0 8.0 -es 2 321 2030 656000.0 656000.0 0.0 0.0 8.0 -es 2 322 2030 664000.0 664000.0 0.0 0.0 8.0 -es 2 323 2030 672000.0 672000.0 0.0 0.0 8.0 -es 2 324 2030 680000.0 680000.0 0.0 0.0 8.0 -es 2 325 2030 688000.0 688000.0 0.0 0.0 8.0 -es 2 326 2030 696000.0 696000.0 0.0 0.0 8.0 -es 2 327 2030 704000.0 704000.0 0.0 0.0 8.0 -es 2 328 2030 712000.0 712000.0 0.0 0.0 8.0 -es 2 329 2030 720000.0 720000.0 0.0 0.0 8.0 -es 2 330 2030 729000.0 729000.0 0.0 0.0 9.0 -es 2 331 2030 738000.0 738000.0 0.0 0.0 9.0 -es 2 332 2030 747000.0 747000.0 0.0 0.0 9.0 -es 2 333 2030 756000.0 756000.0 0.0 0.0 9.0 -es 2 334 2030 765000.0 765000.0 0.0 0.0 9.0 -es 2 335 2030 774000.0 774000.0 0.0 0.0 9.0 -es 2 336 2030 783000.0 783000.0 0.0 0.0 9.0 -fr 2 1 2030 0.0 0.0 0.0 0.0 0.0 -fr 2 2 2030 1000.0 1000.0 0.0 0.0 1.0 -fr 2 3 2030 2000.0 2000.0 0.0 0.0 1.0 -fr 2 4 2030 3000.0 3000.0 0.0 0.0 1.0 -fr 2 5 2030 4000.0 4000.0 0.0 0.0 1.0 -fr 2 6 2030 5000.0 5000.0 0.0 0.0 1.0 -fr 2 7 2030 6000.0 6000.0 0.0 0.0 1.0 -fr 2 8 2030 7000.0 7000.0 0.0 0.0 1.0 -fr 2 9 2030 8000.0 8000.0 0.0 0.0 1.0 -fr 2 10 2030 9000.0 9000.0 0.0 0.0 1.0 -fr 2 11 2030 10000.0 10000.0 0.0 0.0 1.0 -fr 2 12 2030 11000.0 11000.0 0.0 0.0 1.0 -fr 2 13 2030 12000.0 12000.0 0.0 0.0 1.0 -fr 2 14 2030 13000.0 13000.0 0.0 0.0 1.0 -fr 2 15 2030 14000.0 14000.0 0.0 0.0 1.0 -fr 2 16 2030 15000.0 15000.0 0.0 0.0 1.0 -fr 2 17 2030 16000.0 16000.0 0.0 0.0 1.0 -fr 2 18 2030 17000.0 17000.0 0.0 0.0 1.0 -fr 2 19 2030 18000.0 18000.0 0.0 0.0 1.0 -fr 2 20 2030 19000.0 19000.0 0.0 0.0 1.0 -fr 2 21 2030 20000.0 20000.0 0.0 0.0 1.0 -fr 2 22 2030 22000.0 22000.0 0.0 0.0 2.0 -fr 2 23 2030 24000.0 24000.0 0.0 0.0 2.0 -fr 2 24 2030 26000.0 26000.0 0.0 0.0 2.0 -fr 2 25 2030 28000.0 28000.0 0.0 0.0 2.0 -fr 2 26 2030 30000.0 30000.0 0.0 0.0 2.0 -fr 2 27 2030 32000.0 32000.0 0.0 0.0 2.0 -fr 2 28 2030 34000.0 34000.0 0.0 0.0 2.0 -fr 2 29 2030 36000.0 36000.0 0.0 0.0 2.0 -fr 2 30 2030 38000.0 38000.0 0.0 0.0 2.0 -fr 2 31 2030 40000.0 40000.0 0.0 0.0 2.0 -fr 2 32 2030 42000.0 42000.0 0.0 0.0 2.0 -fr 2 33 2030 44000.0 44000.0 0.0 0.0 2.0 -fr 2 34 2030 46000.0 46000.0 0.0 0.0 2.0 -fr 2 35 2030 48000.0 48000.0 0.0 0.0 2.0 -fr 2 36 2030 50000.0 50000.0 0.0 0.0 2.0 -fr 2 37 2030 52000.0 52000.0 0.0 0.0 2.0 -fr 2 38 2030 54000.0 54000.0 0.0 0.0 2.0 -fr 2 39 2030 56000.0 56000.0 0.0 0.0 2.0 -fr 2 40 2030 58000.0 58000.0 0.0 0.0 2.0 -fr 2 41 2030 60000.0 60000.0 0.0 0.0 2.0 -fr 2 42 2030 63000.0 63000.0 0.0 0.0 3.0 -fr 2 43 2030 66000.0 66000.0 0.0 0.0 3.0 -fr 2 44 2030 69000.0 69000.0 0.0 0.0 3.0 -fr 2 45 2030 72000.0 72000.0 0.0 0.0 3.0 -fr 2 46 2030 75000.0 75000.0 0.0 0.0 3.0 -fr 2 47 2030 78000.0 78000.0 0.0 0.0 3.0 -fr 2 48 2030 81000.0 81000.0 0.0 0.0 3.0 -fr 2 49 2030 84000.0 84000.0 0.0 0.0 3.0 -fr 2 50 2030 87000.0 87000.0 0.0 0.0 3.0 -fr 2 51 2030 90000.0 90000.0 0.0 0.0 3.0 -fr 2 52 2030 93000.0 93000.0 0.0 0.0 3.0 -fr 2 53 2030 96000.0 96000.0 0.0 0.0 3.0 -fr 2 54 2030 99000.0 99000.0 0.0 0.0 3.0 -fr 2 55 2030 102000.0 102000.0 0.0 0.0 3.0 -fr 2 56 2030 105000.0 105000.0 0.0 0.0 3.0 -fr 2 57 2030 108000.0 108000.0 0.0 0.0 3.0 -fr 2 58 2030 111000.0 111000.0 0.0 0.0 3.0 -fr 2 59 2030 114000.0 114000.0 0.0 0.0 3.0 -fr 2 60 2030 117000.0 117000.0 0.0 0.0 3.0 -fr 2 61 2030 120000.0 120000.0 0.0 0.0 3.0 -fr 2 62 2030 124000.0 124000.0 0.0 0.0 4.0 -fr 2 63 2030 128000.0 128000.0 0.0 0.0 4.0 -fr 2 64 2030 132000.0 132000.0 0.0 0.0 4.0 -fr 2 65 2030 136000.0 136000.0 0.0 0.0 4.0 -fr 2 66 2030 140000.0 140000.0 0.0 0.0 4.0 -fr 2 67 2030 144000.0 144000.0 0.0 0.0 4.0 -fr 2 68 2030 148000.0 148000.0 0.0 0.0 4.0 -fr 2 69 2030 152000.0 152000.0 0.0 0.0 4.0 -fr 2 70 2030 156000.0 156000.0 0.0 0.0 4.0 -fr 2 71 2030 160000.0 160000.0 0.0 0.0 4.0 -fr 2 72 2030 164000.0 164000.0 0.0 0.0 4.0 -fr 2 73 2030 168000.0 168000.0 0.0 0.0 4.0 -fr 2 74 2030 172000.0 172000.0 0.0 0.0 4.0 -fr 2 75 2030 176000.0 176000.0 0.0 0.0 4.0 -fr 2 76 2030 180000.0 180000.0 0.0 0.0 4.0 -fr 2 77 2030 184000.0 184000.0 0.0 0.0 4.0 -fr 2 78 2030 188000.0 188000.0 0.0 0.0 4.0 -fr 2 79 2030 192000.0 192000.0 0.0 0.0 4.0 -fr 2 80 2030 196000.0 196000.0 0.0 0.0 4.0 -fr 2 81 2030 200000.0 200000.0 0.0 0.0 4.0 -fr 2 82 2030 205000.0 205000.0 0.0 0.0 5.0 -fr 2 83 2030 210000.0 210000.0 0.0 0.0 5.0 -fr 2 84 2030 215000.0 215000.0 0.0 0.0 5.0 -fr 2 85 2030 220000.0 220000.0 0.0 0.0 5.0 -fr 2 86 2030 225000.0 225000.0 0.0 0.0 5.0 -fr 2 87 2030 230000.0 230000.0 0.0 0.0 5.0 -fr 2 88 2030 235000.0 235000.0 0.0 0.0 5.0 -fr 2 89 2030 240000.0 240000.0 0.0 0.0 5.0 -fr 2 90 2030 245000.0 245000.0 0.0 0.0 5.0 -fr 2 91 2030 250000.0 250000.0 0.0 0.0 5.0 -fr 2 92 2030 255000.0 255000.0 0.0 0.0 5.0 -fr 2 93 2030 260000.0 260000.0 0.0 0.0 5.0 -fr 2 94 2030 265000.0 265000.0 0.0 0.0 5.0 -fr 2 95 2030 270000.0 270000.0 0.0 0.0 5.0 -fr 2 96 2030 275000.0 275000.0 0.0 0.0 5.0 -fr 2 97 2030 280000.0 280000.0 0.0 0.0 5.0 -fr 2 98 2030 285000.0 285000.0 0.0 0.0 5.0 -fr 2 99 2030 290000.0 290000.0 0.0 0.0 5.0 -fr 2 100 2030 295000.0 295000.0 0.0 0.0 5.0 -fr 2 101 2030 300000.0 300000.0 0.0 0.0 5.0 -fr 2 102 2030 306000.0 306000.0 0.0 0.0 6.0 -fr 2 103 2030 312000.0 312000.0 0.0 0.0 6.0 -fr 2 104 2030 318000.0 318000.0 0.0 0.0 6.0 -fr 2 105 2030 324000.0 324000.0 0.0 0.0 6.0 -fr 2 106 2030 330000.0 330000.0 0.0 0.0 6.0 -fr 2 107 2030 336000.0 336000.0 0.0 0.0 6.0 -fr 2 108 2030 342000.0 342000.0 0.0 0.0 6.0 -fr 2 109 2030 348000.0 348000.0 0.0 0.0 6.0 -fr 2 110 2030 354000.0 354000.0 0.0 0.0 6.0 -fr 2 111 2030 360000.0 360000.0 0.0 0.0 6.0 -fr 2 112 2030 366000.0 366000.0 0.0 0.0 6.0 -fr 2 113 2030 372000.0 372000.0 0.0 0.0 6.0 -fr 2 114 2030 378000.0 378000.0 0.0 0.0 6.0 -fr 2 115 2030 384000.0 384000.0 0.0 0.0 6.0 -fr 2 116 2030 390000.0 390000.0 0.0 0.0 6.0 -fr 2 117 2030 396000.0 396000.0 0.0 0.0 6.0 -fr 2 118 2030 402000.0 402000.0 0.0 0.0 6.0 -fr 2 119 2030 408000.0 408000.0 0.0 0.0 6.0 -fr 2 120 2030 414000.0 414000.0 0.0 0.0 6.0 -fr 2 121 2030 420000.0 420000.0 0.0 0.0 6.0 -fr 2 122 2030 427000.0 427000.0 0.0 0.0 7.0 -fr 2 123 2030 434000.0 434000.0 0.0 0.0 7.0 -fr 2 124 2030 441000.0 441000.0 0.0 0.0 7.0 -fr 2 125 2030 448000.0 448000.0 0.0 0.0 7.0 -fr 2 126 2030 455000.0 455000.0 0.0 0.0 7.0 -fr 2 127 2030 462000.0 462000.0 0.0 0.0 7.0 -fr 2 128 2030 469000.0 469000.0 0.0 0.0 7.0 -fr 2 129 2030 476000.0 476000.0 0.0 0.0 7.0 -fr 2 130 2030 483000.0 483000.0 0.0 0.0 7.0 -fr 2 131 2030 490000.0 490000.0 0.0 0.0 7.0 -fr 2 132 2030 497000.0 497000.0 0.0 0.0 7.0 -fr 2 133 2030 504000.0 504000.0 0.0 0.0 7.0 -fr 2 134 2030 511000.0 511000.0 0.0 0.0 7.0 -fr 2 135 2030 518000.0 518000.0 0.0 0.0 7.0 -fr 2 136 2030 525000.0 525000.0 0.0 0.0 7.0 -fr 2 137 2030 532000.0 532000.0 0.0 0.0 7.0 -fr 2 138 2030 539000.0 539000.0 0.0 0.0 7.0 -fr 2 139 2030 546000.0 546000.0 0.0 0.0 7.0 -fr 2 140 2030 553000.0 553000.0 0.0 0.0 7.0 -fr 2 141 2030 560000.0 560000.0 0.0 0.0 7.0 -fr 2 142 2030 568000.0 568000.0 0.0 0.0 8.0 -fr 2 143 2030 576000.0 576000.0 0.0 0.0 8.0 -fr 2 144 2030 584000.0 584000.0 0.0 0.0 8.0 -fr 2 145 2030 592000.0 592000.0 0.0 0.0 8.0 -fr 2 146 2030 600000.0 600000.0 0.0 0.0 8.0 -fr 2 147 2030 608000.0 608000.0 0.0 0.0 8.0 -fr 2 148 2030 616000.0 616000.0 0.0 0.0 8.0 -fr 2 149 2030 624000.0 624000.0 0.0 0.0 8.0 -fr 2 150 2030 632000.0 632000.0 0.0 0.0 8.0 -fr 2 151 2030 640000.0 640000.0 0.0 0.0 8.0 -fr 2 152 2030 648000.0 648000.0 0.0 0.0 8.0 -fr 2 153 2030 656000.0 656000.0 0.0 0.0 8.0 -fr 2 154 2030 664000.0 664000.0 0.0 0.0 8.0 -fr 2 155 2030 672000.0 672000.0 0.0 0.0 8.0 -fr 2 156 2030 680000.0 680000.0 0.0 0.0 8.0 -fr 2 157 2030 688000.0 688000.0 0.0 0.0 8.0 -fr 2 158 2030 696000.0 696000.0 0.0 0.0 8.0 -fr 2 159 2030 704000.0 704000.0 0.0 0.0 8.0 -fr 2 160 2030 712000.0 712000.0 0.0 0.0 8.0 -fr 2 161 2030 720000.0 720000.0 0.0 0.0 8.0 -fr 2 162 2030 729000.0 729000.0 0.0 0.0 9.0 -fr 2 163 2030 738000.0 738000.0 0.0 0.0 9.0 -fr 2 164 2030 747000.0 747000.0 0.0 0.0 9.0 -fr 2 165 2030 756000.0 756000.0 0.0 0.0 9.0 -fr 2 166 2030 765000.0 765000.0 0.0 0.0 9.0 -fr 2 167 2030 774000.0 774000.0 0.0 0.0 9.0 -fr 2 168 2030 783000.0 783000.0 0.0 0.0 9.0 -fr 2 169 2030 0.0 0.0 0.0 0.0 0.0 -fr 2 170 2030 1000.0 1000.0 0.0 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5.0 +it 2 263 2030 5.0 +it 2 264 2030 5.0 +it 2 265 2030 5.0 +it 2 266 2030 5.0 +it 2 267 2030 5.0 +it 2 268 2030 5.0 +it 2 269 2030 5.0 +it 2 270 2030 6.0 +it 2 271 2030 6.0 +it 2 272 2030 6.0 +it 2 273 2030 6.0 +it 2 274 2030 6.0 +it 2 275 2030 6.0 +it 2 276 2030 6.0 +it 2 277 2030 6.0 +it 2 278 2030 6.0 +it 2 279 2030 6.0 +it 2 280 2030 6.0 +it 2 281 2030 6.0 +it 2 282 2030 6.0 +it 2 283 2030 6.0 +it 2 284 2030 6.0 +it 2 285 2030 6.0 +it 2 286 2030 6.0 +it 2 287 2030 6.0 +it 2 288 2030 6.0 +it 2 289 2030 6.0 +it 2 290 2030 7.0 +it 2 291 2030 7.0 +it 2 292 2030 7.0 +it 2 293 2030 7.0 +it 2 294 2030 7.0 +it 2 295 2030 7.0 +it 2 296 2030 7.0 +it 2 297 2030 7.0 +it 2 298 2030 7.0 +it 2 299 2030 7.0 +it 2 300 2030 7.0 +it 2 301 2030 7.0 +it 2 302 2030 7.0 +it 2 303 2030 7.0 +it 2 304 2030 7.0 +it 2 305 2030 7.0 +it 2 306 2030 7.0 +it 2 307 2030 7.0 +it 2 308 2030 7.0 +it 2 309 2030 7.0 +it 2 310 2030 8.0 +it 2 311 2030 8.0 +it 2 312 2030 8.0 +it 2 313 2030 8.0 +it 2 314 2030 8.0 +it 2 315 2030 8.0 +it 2 316 2030 8.0 +it 2 317 2030 8.0 +it 2 318 2030 8.0 +it 2 319 2030 8.0 +it 2 320 2030 8.0 +it 2 321 2030 8.0 +it 2 322 2030 8.0 +it 2 323 2030 8.0 +it 2 324 2030 8.0 +it 2 325 2030 8.0 +it 2 326 2030 8.0 +it 2 327 2030 8.0 +it 2 328 2030 8.0 +it 2 329 2030 8.0 +it 2 330 2030 9.0 +it 2 331 2030 9.0 +it 2 332 2030 9.0 +it 2 333 2030 9.0 +it 2 334 2030 9.0 +it 2 335 2030 9.0 +it 2 336 2030 9.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv index 6e4416c25b..f9639fbce5 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv @@ -1,15 +1,15 @@ -area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 OP. COST.4 OP. COST.5 OP. COST.6 OP. COST.7 OP. COST.8 OP. COST.9 OP. COST.10 OP. COST.11 OP. COST.12 OP. COST.13 OP. COST.14 OP. COST.15 H. COST H. COST.1 H. COST.2 H. COST.3 H. COST.4 H. COST.5 H. COST.6 H. COST.7 H. COST.8 H. COST.9 H. COST.10 H. COST.11 H. COST.12 H. COST.13 H. COST.14 H. COST.15 NP COST NP COST.1 NP COST.2 NP COST.3 NP COST.4 NP COST.5 NP COST.6 NP COST.7 NP COST.8 NP COST.9 NP COST.10 NP COST.11 NP COST.12 NP COST.13 NP COST.14 NP COST.15 NODU NODU.1 NODU.2 NODU.3 NODU.4 NODU.5 NODU.6 NODU.7 NODU.8 NODU.9 NODU.10 NODU.11 NODU.12 NODU.13 NODU.14 NODU.15 -de 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 -de 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 -de 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 -de 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 -de 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 -de 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 -de 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 -es 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 -es 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 -es 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 -es 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 -es 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 -es 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 -es 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 +area timeId time NODU NODU.1 NODU.2 NODU.3 NODU.4 NODU.5 NODU.6 NODU.7 NODU.8 NODU.9 NODU.10 NODU.11 NODU.12 NODU.13 NODU.14 NODU.15 +de 1 2030 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 +de 2 2030 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 +de 3 2030 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 +de 4 2030 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 +de 5 2030 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 +de 6 2030 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 +de 7 2030 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 +es 1 2030 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 +es 2 2030 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 +es 3 2030 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 +es 4 2030 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 +es 5 2030 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 +es 6 2030 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 +es 7 2030 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07.result.tsv new file mode 100644 index 0000000000..20736686c0 --- /dev/null +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07.result.tsv @@ -0,0 +1,2689 @@ +area mcYear timeId time 01_SOLAR NP COST - EURO 02_WIND_ON NP COST - EURO 03_WIND_OFF NP COST - EURO 04_RES NP COST - EURO 05_NUCLEAR NP COST - EURO 06_COAL NP COST - EURO 07_GAS NP COST - EURO 08_NON-RES NP COST - EURO 09_HYDRO_PUMP NP COST - EURO 01_SOLAR NODU 02_WIND_ON NODU 03_WIND_OFF NODU 04_RES NODU 05_NUCLEAR NODU 06_COAL NODU 07_GAS NODU 08_NON-RES NODU 09_HYDRO_PUMP NODU +de 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 1 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 1 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +de 1 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 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1.0 +de 1 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 +de 1 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 196 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 197 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 198 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 199 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de 1 200 2030 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 293 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 294 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 295 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 296 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 297 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 298 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 299 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 300 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 301 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 302 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 303 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 304 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 305 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 306 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 307 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 308 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 309 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +de 1 310 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 311 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 312 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 313 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 314 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 315 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 316 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 317 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 318 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 319 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 320 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 321 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 322 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 323 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 324 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 325 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 326 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 327 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 328 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 329 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +de 1 330 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 331 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 332 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 333 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 334 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 335 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +de 1 336 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 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49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 196 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 197 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 198 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 199 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 200 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 201 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 202 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 203 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 204 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 205 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 206 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 207 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 208 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 209 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 210 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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1 222 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 223 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 224 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 225 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 226 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 227 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 228 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 229 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 1 230 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 231 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 232 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 233 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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1 245 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 246 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 247 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 248 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 249 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 1 250 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 251 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 252 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 253 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 254 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 255 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 256 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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1 268 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 269 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +es 1 270 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 271 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 272 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 273 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 274 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 275 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 276 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 277 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 278 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +es 1 279 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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1 291 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 292 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 293 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 294 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 295 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 296 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 297 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 298 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 299 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 300 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 301 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 302 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 303 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 304 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 305 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 306 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 307 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 308 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 309 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +es 1 310 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 311 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 312 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 313 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 314 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 315 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 316 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 317 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 318 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 319 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 320 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 321 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 322 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 323 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 324 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 325 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 326 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 327 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 328 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 329 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 1 330 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 331 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 332 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 333 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 334 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 335 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 1 336 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 196 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 197 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 198 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 199 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 200 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 201 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 202 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 203 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 204 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 205 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 206 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 207 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 208 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 209 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 210 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 211 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 212 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 213 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 214 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 215 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 216 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 217 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 218 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 219 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 220 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 221 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 222 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 223 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 224 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 225 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 226 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 227 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 228 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 229 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 1 230 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 231 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 232 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 233 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 234 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 235 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 236 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 237 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 238 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 239 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 240 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 241 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 242 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 243 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 244 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 245 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 246 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 247 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 248 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 249 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 1 250 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 251 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 252 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 253 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 254 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 255 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 256 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 257 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 258 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 259 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 260 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 261 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 262 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 263 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 264 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 265 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 266 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 267 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 268 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 269 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 1 270 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 271 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 272 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 273 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 274 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 275 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 276 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 277 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 278 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 279 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 280 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 281 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 282 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 283 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 284 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 285 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 286 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 287 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 288 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 289 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 1 290 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 291 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 292 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 293 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 294 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 295 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 296 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 297 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 298 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 299 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 300 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 301 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 302 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 303 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 304 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 305 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 306 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 307 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 308 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 309 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 1 310 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 311 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 312 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 313 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 314 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 315 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 316 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 317 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 318 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 319 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 320 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 321 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 322 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 323 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 324 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 325 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 326 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 327 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 328 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 329 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 1 330 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 331 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 332 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 333 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 334 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 335 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 1 336 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +it 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +it 1 46 2030 0.0 0.0 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2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +de 2 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +de 2 91 2030 0.0 0.0 0.0 0.0 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2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 2 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 2 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 2 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 2 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 2 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 2 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 2 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 2 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 2 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 2 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +es 2 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 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2 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 2 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 2 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +es 2 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 2 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 2 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 2 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 2 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 2 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 2 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +es 2 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +es 2 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 +fr 2 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 +fr 2 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 +fr 2 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 +fr 2 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 +fr 2 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 2 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 2 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 2 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 2 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 2 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 2 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +fr 2 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 196 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 197 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 198 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 199 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 200 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 201 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 202 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 203 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 204 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 205 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 206 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 207 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 208 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 209 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 210 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 211 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 212 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 213 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 214 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 215 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 216 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 217 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 218 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 219 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 220 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 221 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 222 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 223 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 224 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 225 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 +fr 2 226 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 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b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-08-all.result.tsv @@ -0,0 +1,3 @@ +area timeId time 01_SOLAR NP COST - EURO EXP 02_WIND_ON NP COST - EURO EXP 03_WIND_OFF NP COST - EURO EXP 04_RES NP COST - EURO EXP 05_NUCLEAR NP COST - EURO EXP 06_COAL NP COST - EURO EXP 07_GAS NP COST - EURO EXP 08_NON-RES NP COST - EURO EXP 09_HYDRO_PUMP NP COST - EURO EXP 01_SOLAR NODU EXP 02_WIND_ON NODU EXP 03_WIND_OFF NODU EXP 04_RES NODU EXP 05_NUCLEAR NODU EXP 06_COAL NODU EXP 07_GAS NODU EXP 08_NON-RES NODU EXP 09_HYDRO_PUMP NODU EXP +de 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 167.0 147.0 127.0 107.0 87.0 67.0 47.0 27.0 7.0 +es 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 167.0 147.0 127.0 107.0 87.0 67.0 47.0 27.0 7.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05.result.tsv index 2ef64205e5..0e9a836a1c 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05.result.tsv @@ -1,2017 +1,2017 @@ -link mcYear timeId time MARG. COST CONG. PROB + CONG. PROB - HURDLE COST -de - fr 1 1 2030 0.0 0.0 0.0 0.0 -de - fr 1 2 2030 0.0 0.0 0.0 0.0 -de - fr 1 3 2030 0.0 0.0 0.0 0.0 -de - fr 1 4 2030 0.0 0.0 0.0 0.0 -de - fr 1 5 2030 0.0 0.0 0.0 0.0 -de - fr 1 6 2030 0.0 0.0 0.0 0.0 -de - fr 1 7 2030 0.0 0.0 0.0 0.0 -de - fr 1 8 2030 0.0 0.0 0.0 0.0 -de - fr 1 9 2030 0.0 0.0 0.0 0.0 -de - fr 1 10 2030 0.0 0.0 0.0 0.0 -de - fr 1 11 2030 0.0 0.0 0.0 0.0 -de - fr 1 12 2030 0.0 0.0 0.0 0.0 -de - fr 1 13 2030 0.0 0.0 0.0 0.0 -de - fr 1 14 2030 0.0 0.0 0.0 0.0 -de - fr 1 15 2030 0.0 0.0 0.0 0.0 -de - fr 1 16 2030 0.0 0.0 0.0 0.0 -de - fr 1 17 2030 0.0 0.0 0.0 0.0 -de - fr 1 18 2030 0.0 0.0 0.0 0.0 -de - fr 1 19 2030 0.0 0.0 0.0 0.0 -de - fr 1 20 2030 0.0 0.0 0.0 0.0 -de - fr 1 21 2030 0.0 0.0 0.0 0.0 -de - fr 1 22 2030 0.0 0.0 0.0 0.0 -de - fr 1 23 2030 0.0 0.0 0.0 0.0 -de - fr 1 24 2030 0.0 0.0 0.0 0.0 -de - fr 1 25 2030 0.0 0.0 0.0 0.0 -de - fr 1 26 2030 0.0 0.0 0.0 0.0 -de - fr 1 27 2030 0.0 0.0 0.0 0.0 -de - fr 1 28 2030 0.0 0.0 0.0 0.0 -de - fr 1 29 2030 0.0 0.0 0.0 0.0 -de - fr 1 30 2030 0.0 0.0 0.0 0.0 -de - fr 1 31 2030 0.0 0.0 0.0 0.0 -de - fr 1 32 2030 0.0 0.0 0.0 0.0 -de - fr 1 33 2030 0.0 0.0 0.0 0.0 -de - fr 1 34 2030 0.0 0.0 0.0 0.0 -de - fr 1 35 2030 0.0 0.0 0.0 0.0 -de - fr 1 36 2030 0.0 0.0 0.0 0.0 -de - fr 1 37 2030 0.0 0.0 0.0 0.0 -de - fr 1 38 2030 0.0 0.0 0.0 0.0 -de - fr 1 39 2030 0.0 0.0 0.0 0.0 -de - fr 1 40 2030 0.0 0.0 0.0 0.0 -de - fr 1 41 2030 0.0 0.0 0.0 0.0 -de - fr 1 42 2030 0.0 0.0 0.0 0.0 -de - fr 1 43 2030 0.0 0.0 0.0 0.0 -de - fr 1 44 2030 0.0 0.0 0.0 0.0 -de - fr 1 45 2030 0.0 0.0 0.0 0.0 -de - fr 1 46 2030 0.0 0.0 0.0 0.0 -de - fr 1 47 2030 0.0 0.0 0.0 0.0 -de - fr 1 48 2030 0.0 0.0 0.0 0.0 -de - fr 1 49 2030 0.0 0.0 0.0 0.0 -de - fr 1 50 2030 0.0 0.0 0.0 0.0 -de - fr 1 51 2030 0.0 0.0 0.0 0.0 -de - fr 1 52 2030 0.0 0.0 0.0 0.0 -de - fr 1 53 2030 0.0 0.0 0.0 0.0 -de - fr 1 54 2030 0.0 0.0 0.0 0.0 -de - fr 1 55 2030 0.0 0.0 0.0 0.0 -de - fr 1 56 2030 0.0 0.0 0.0 0.0 -de - fr 1 57 2030 0.0 0.0 0.0 0.0 -de - fr 1 58 2030 0.0 0.0 0.0 0.0 -de - fr 1 59 2030 0.0 0.0 0.0 0.0 -de - fr 1 60 2030 0.0 0.0 0.0 0.0 -de - fr 1 61 2030 0.0 0.0 0.0 0.0 -de - fr 1 62 2030 0.0 0.0 0.0 0.0 -de - fr 1 63 2030 0.0 0.0 0.0 0.0 -de - fr 1 64 2030 0.0 0.0 0.0 0.0 -de - fr 1 65 2030 0.0 0.0 0.0 0.0 -de - fr 1 66 2030 0.0 0.0 0.0 0.0 -de - fr 1 67 2030 0.0 0.0 0.0 0.0 -de - fr 1 68 2030 0.0 0.0 0.0 0.0 -de - fr 1 69 2030 0.0 0.0 0.0 0.0 -de - fr 1 70 2030 0.0 0.0 0.0 0.0 -de - fr 1 71 2030 0.0 0.0 0.0 0.0 -de - fr 1 72 2030 0.0 0.0 0.0 0.0 -de - fr 1 73 2030 0.0 0.0 0.0 0.0 -de - fr 1 74 2030 0.0 0.0 0.0 0.0 -de - fr 1 75 2030 0.0 0.0 0.0 0.0 -de - fr 1 76 2030 0.0 0.0 0.0 0.0 -de - fr 1 77 2030 0.0 0.0 0.0 0.0 -de - fr 1 78 2030 0.0 0.0 0.0 0.0 -de - fr 1 79 2030 0.0 0.0 0.0 0.0 -de - fr 1 80 2030 0.0 0.0 0.0 0.0 -de - fr 1 81 2030 0.0 0.0 0.0 0.0 -de - fr 1 82 2030 0.0 0.0 0.0 0.0 -de - fr 1 83 2030 0.0 0.0 0.0 0.0 -de - fr 1 84 2030 0.0 0.0 0.0 0.0 -de - fr 1 85 2030 0.0 0.0 0.0 0.0 -de - fr 1 86 2030 0.0 0.0 0.0 0.0 -de - fr 1 87 2030 0.0 0.0 0.0 0.0 -de - fr 1 88 2030 0.0 0.0 0.0 0.0 -de - fr 1 89 2030 0.0 0.0 0.0 0.0 -de - fr 1 90 2030 0.0 0.0 0.0 0.0 -de - fr 1 91 2030 0.0 0.0 0.0 0.0 -de - fr 1 92 2030 0.0 0.0 0.0 0.0 -de - fr 1 93 2030 0.0 0.0 0.0 0.0 -de - fr 1 94 2030 0.0 0.0 0.0 0.0 -de - fr 1 95 2030 0.0 0.0 0.0 0.0 -de - fr 1 96 2030 0.0 0.0 0.0 0.0 -de - fr 1 97 2030 0.0 0.0 0.0 0.0 -de - fr 1 98 2030 0.0 0.0 0.0 0.0 -de - fr 1 99 2030 0.0 0.0 0.0 0.0 -de - fr 1 100 2030 0.0 0.0 0.0 0.0 -de - fr 1 101 2030 0.0 0.0 0.0 0.0 -de - fr 1 102 2030 0.0 0.0 0.0 0.0 -de - fr 1 103 2030 0.0 0.0 0.0 0.0 -de - fr 1 104 2030 0.0 0.0 0.0 0.0 -de - fr 1 105 2030 0.0 0.0 0.0 0.0 -de - fr 1 106 2030 0.0 0.0 0.0 0.0 -de - fr 1 107 2030 0.0 0.0 0.0 0.0 -de - fr 1 108 2030 0.0 0.0 0.0 0.0 -de - fr 1 109 2030 0.0 0.0 0.0 0.0 -de - fr 1 110 2030 0.0 0.0 0.0 0.0 -de - fr 1 111 2030 0.0 0.0 0.0 0.0 -de - fr 1 112 2030 0.0 0.0 0.0 0.0 -de - fr 1 113 2030 0.0 0.0 0.0 0.0 -de - fr 1 114 2030 0.0 0.0 0.0 0.0 -de - fr 1 115 2030 0.0 0.0 0.0 0.0 -de - fr 1 116 2030 0.0 0.0 0.0 0.0 -de - fr 1 117 2030 0.0 0.0 0.0 0.0 -de - fr 1 118 2030 0.0 0.0 0.0 0.0 -de - fr 1 119 2030 0.0 0.0 0.0 0.0 -de - fr 1 120 2030 0.0 0.0 0.0 0.0 -de - fr 1 121 2030 0.0 0.0 0.0 0.0 -de - fr 1 122 2030 0.0 0.0 0.0 0.0 -de - fr 1 123 2030 0.0 0.0 0.0 0.0 -de - fr 1 124 2030 0.0 0.0 0.0 0.0 -de - fr 1 125 2030 0.0 0.0 0.0 0.0 -de - fr 1 126 2030 0.0 0.0 0.0 0.0 -de - fr 1 127 2030 0.0 0.0 0.0 0.0 -de - fr 1 128 2030 0.0 0.0 0.0 0.0 -de - fr 1 129 2030 0.0 0.0 0.0 0.0 -de - fr 1 130 2030 0.0 0.0 0.0 0.0 -de - fr 1 131 2030 0.0 0.0 0.0 0.0 -de - fr 1 132 2030 0.0 0.0 0.0 0.0 -de - fr 1 133 2030 0.0 0.0 0.0 0.0 -de - fr 1 134 2030 0.0 0.0 0.0 0.0 -de - fr 1 135 2030 0.0 0.0 0.0 0.0 -de - fr 1 136 2030 0.0 0.0 0.0 0.0 -de - fr 1 137 2030 0.0 0.0 0.0 0.0 -de - fr 1 138 2030 0.0 0.0 0.0 0.0 -de - fr 1 139 2030 0.0 0.0 0.0 0.0 -de - fr 1 140 2030 0.0 0.0 0.0 0.0 -de - fr 1 141 2030 0.0 0.0 0.0 0.0 -de - fr 1 142 2030 0.0 0.0 0.0 0.0 -de - fr 1 143 2030 0.0 0.0 0.0 0.0 -de - fr 1 144 2030 0.0 0.0 0.0 0.0 -de - fr 1 145 2030 0.0 0.0 0.0 0.0 -de - fr 1 146 2030 0.0 0.0 0.0 0.0 -de - fr 1 147 2030 0.0 0.0 0.0 0.0 -de - fr 1 148 2030 0.0 0.0 0.0 0.0 -de - fr 1 149 2030 0.0 0.0 0.0 0.0 -de - fr 1 150 2030 0.0 0.0 0.0 0.0 -de - fr 1 151 2030 0.0 0.0 0.0 0.0 -de - fr 1 152 2030 0.0 0.0 0.0 0.0 -de - fr 1 153 2030 0.0 0.0 0.0 0.0 -de - fr 1 154 2030 0.0 0.0 0.0 0.0 -de - fr 1 155 2030 0.0 0.0 0.0 0.0 -de - fr 1 156 2030 0.0 0.0 0.0 0.0 -de - fr 1 157 2030 0.0 0.0 0.0 0.0 -de - fr 1 158 2030 0.0 0.0 0.0 0.0 -de - fr 1 159 2030 0.0 0.0 0.0 0.0 -de - fr 1 160 2030 0.0 0.0 0.0 0.0 -de - fr 1 161 2030 0.0 0.0 0.0 0.0 -de - fr 1 162 2030 0.0 0.0 0.0 0.0 -de - fr 1 163 2030 0.0 0.0 0.0 0.0 -de - fr 1 164 2030 0.0 0.0 0.0 0.0 -de - fr 1 165 2030 0.0 0.0 0.0 0.0 -de - fr 1 166 2030 0.0 0.0 0.0 0.0 -de - fr 1 167 2030 0.0 0.0 0.0 0.0 -de - fr 1 168 2030 0.0 0.0 0.0 0.0 -de - fr 1 169 2030 0.0 0.0 0.0 0.0 -de - fr 1 170 2030 0.0 0.0 0.0 0.0 -de - fr 1 171 2030 0.0 0.0 0.0 0.0 -de - fr 1 172 2030 0.0 0.0 0.0 0.0 -de - fr 1 173 2030 0.0 0.0 0.0 0.0 -de - fr 1 174 2030 0.0 0.0 0.0 0.0 -de - fr 1 175 2030 0.0 0.0 0.0 0.0 -de - fr 1 176 2030 0.0 0.0 0.0 0.0 -de - fr 1 177 2030 0.0 0.0 0.0 0.0 -de - fr 1 178 2030 0.0 0.0 0.0 0.0 -de - fr 1 179 2030 0.0 0.0 0.0 0.0 -de - fr 1 180 2030 0.0 0.0 0.0 0.0 -de - fr 1 181 2030 0.0 0.0 0.0 0.0 -de - fr 1 182 2030 0.0 0.0 0.0 0.0 -de - fr 1 183 2030 0.0 0.0 0.0 0.0 -de - fr 1 184 2030 0.0 0.0 0.0 0.0 -de - fr 1 185 2030 0.0 0.0 0.0 0.0 -de - fr 1 186 2030 0.0 0.0 0.0 0.0 -de - fr 1 187 2030 0.0 0.0 0.0 0.0 -de - fr 1 188 2030 0.0 0.0 0.0 0.0 -de - fr 1 189 2030 0.0 0.0 0.0 0.0 -de - fr 1 190 2030 0.0 0.0 0.0 0.0 -de - fr 1 191 2030 0.0 0.0 0.0 0.0 -de - fr 1 192 2030 0.0 0.0 0.0 0.0 -de - fr 1 193 2030 0.0 0.0 0.0 0.0 -de - fr 1 194 2030 0.0 0.0 0.0 0.0 -de - fr 1 195 2030 0.0 0.0 0.0 0.0 -de - fr 1 196 2030 0.0 0.0 0.0 0.0 -de - fr 1 197 2030 0.0 0.0 0.0 0.0 -de - fr 1 198 2030 0.0 0.0 0.0 0.0 -de - fr 1 199 2030 0.0 0.0 0.0 0.0 -de - fr 1 200 2030 0.0 0.0 0.0 0.0 -de - fr 1 201 2030 0.0 0.0 0.0 0.0 -de - fr 1 202 2030 0.0 0.0 0.0 0.0 -de - fr 1 203 2030 0.0 0.0 0.0 0.0 -de - fr 1 204 2030 0.0 0.0 0.0 0.0 -de - fr 1 205 2030 0.0 0.0 0.0 0.0 -de - fr 1 206 2030 0.0 0.0 0.0 0.0 -de - fr 1 207 2030 0.0 0.0 0.0 0.0 -de - fr 1 208 2030 0.0 0.0 0.0 0.0 -de - fr 1 209 2030 0.0 0.0 0.0 0.0 -de - fr 1 210 2030 0.0 0.0 0.0 0.0 -de - fr 1 211 2030 0.0 0.0 0.0 0.0 -de - fr 1 212 2030 0.0 0.0 0.0 0.0 -de - fr 1 213 2030 0.0 0.0 0.0 0.0 -de - fr 1 214 2030 0.0 0.0 0.0 0.0 -de - fr 1 215 2030 0.0 0.0 0.0 0.0 -de - fr 1 216 2030 0.0 0.0 0.0 0.0 -de - fr 1 217 2030 0.0 0.0 0.0 0.0 -de - fr 1 218 2030 0.0 0.0 0.0 0.0 -de - fr 1 219 2030 0.0 0.0 0.0 0.0 -de - fr 1 220 2030 0.0 0.0 0.0 0.0 -de - fr 1 221 2030 0.0 0.0 0.0 0.0 -de - fr 1 222 2030 0.0 0.0 0.0 0.0 -de - fr 1 223 2030 0.0 0.0 0.0 0.0 -de - fr 1 224 2030 0.0 0.0 0.0 0.0 -de - fr 1 225 2030 0.0 0.0 0.0 0.0 -de - fr 1 226 2030 0.0 0.0 0.0 0.0 -de - fr 1 227 2030 0.0 0.0 0.0 0.0 -de - fr 1 228 2030 0.0 0.0 0.0 0.0 -de - fr 1 229 2030 0.0 0.0 0.0 0.0 -de - fr 1 230 2030 0.0 0.0 0.0 0.0 -de - fr 1 231 2030 0.0 0.0 0.0 0.0 -de - fr 1 232 2030 0.0 0.0 0.0 0.0 -de - fr 1 233 2030 0.0 0.0 0.0 0.0 -de - fr 1 234 2030 0.0 0.0 0.0 0.0 -de - fr 1 235 2030 0.0 0.0 0.0 0.0 -de - fr 1 236 2030 0.0 0.0 0.0 0.0 -de - fr 1 237 2030 0.0 0.0 0.0 0.0 -de - fr 1 238 2030 0.0 0.0 0.0 0.0 -de - fr 1 239 2030 0.0 0.0 0.0 0.0 -de - fr 1 240 2030 0.0 0.0 0.0 0.0 -de - fr 1 241 2030 0.0 0.0 0.0 0.0 -de - fr 1 242 2030 0.0 0.0 0.0 0.0 -de - fr 1 243 2030 0.0 0.0 0.0 0.0 -de - fr 1 244 2030 0.0 0.0 0.0 0.0 -de - fr 1 245 2030 0.0 0.0 0.0 0.0 -de - fr 1 246 2030 0.0 0.0 0.0 0.0 -de - fr 1 247 2030 0.0 0.0 0.0 0.0 -de - fr 1 248 2030 0.0 0.0 0.0 0.0 -de - fr 1 249 2030 0.0 0.0 0.0 0.0 -de - fr 1 250 2030 0.0 0.0 0.0 0.0 -de - fr 1 251 2030 0.0 0.0 0.0 0.0 -de - fr 1 252 2030 0.0 0.0 0.0 0.0 -de - fr 1 253 2030 0.0 0.0 0.0 0.0 -de - fr 1 254 2030 0.0 0.0 0.0 0.0 -de - fr 1 255 2030 0.0 0.0 0.0 0.0 -de - fr 1 256 2030 0.0 0.0 0.0 0.0 -de - fr 1 257 2030 0.0 0.0 0.0 0.0 -de - fr 1 258 2030 0.0 0.0 0.0 0.0 -de - fr 1 259 2030 0.0 0.0 0.0 0.0 -de - fr 1 260 2030 0.0 0.0 0.0 0.0 -de - fr 1 261 2030 0.0 0.0 0.0 0.0 -de - fr 1 262 2030 0.0 0.0 0.0 0.0 -de - fr 1 263 2030 0.0 0.0 0.0 0.0 -de - fr 1 264 2030 0.0 0.0 0.0 0.0 -de - fr 1 265 2030 0.0 0.0 0.0 0.0 -de - fr 1 266 2030 0.0 0.0 0.0 0.0 -de - fr 1 267 2030 0.0 0.0 0.0 0.0 -de - fr 1 268 2030 0.0 0.0 0.0 0.0 -de - fr 1 269 2030 0.0 0.0 0.0 0.0 -de - fr 1 270 2030 0.0 0.0 0.0 0.0 -de - fr 1 271 2030 0.0 0.0 0.0 0.0 -de - fr 1 272 2030 0.0 0.0 0.0 0.0 -de - fr 1 273 2030 0.0 0.0 0.0 0.0 -de - fr 1 274 2030 0.0 0.0 0.0 0.0 -de - fr 1 275 2030 0.0 0.0 0.0 0.0 -de - fr 1 276 2030 0.0 0.0 0.0 0.0 -de - fr 1 277 2030 0.0 0.0 0.0 0.0 -de - fr 1 278 2030 0.0 0.0 0.0 0.0 -de - fr 1 279 2030 0.0 0.0 0.0 0.0 -de - fr 1 280 2030 0.0 0.0 0.0 0.0 -de - fr 1 281 2030 0.0 0.0 0.0 0.0 -de - fr 1 282 2030 0.0 0.0 0.0 0.0 -de - fr 1 283 2030 0.0 0.0 0.0 0.0 -de - fr 1 284 2030 0.0 0.0 0.0 0.0 -de - fr 1 285 2030 0.0 0.0 0.0 0.0 -de - fr 1 286 2030 0.0 0.0 0.0 0.0 -de - fr 1 287 2030 0.0 0.0 0.0 0.0 -de - fr 1 288 2030 0.0 0.0 0.0 0.0 -de - fr 1 289 2030 0.0 0.0 0.0 0.0 -de - fr 1 290 2030 0.0 0.0 0.0 0.0 -de - fr 1 291 2030 0.0 0.0 0.0 0.0 -de - fr 1 292 2030 0.0 0.0 0.0 0.0 -de - fr 1 293 2030 0.0 0.0 0.0 0.0 -de - fr 1 294 2030 0.0 0.0 0.0 0.0 -de - fr 1 295 2030 0.0 0.0 0.0 0.0 -de - fr 1 296 2030 0.0 0.0 0.0 0.0 -de - fr 1 297 2030 0.0 0.0 0.0 0.0 -de - fr 1 298 2030 0.0 0.0 0.0 0.0 -de - fr 1 299 2030 0.0 0.0 0.0 0.0 -de - fr 1 300 2030 0.0 0.0 0.0 0.0 -de - fr 1 301 2030 0.0 0.0 0.0 0.0 -de - fr 1 302 2030 0.0 0.0 0.0 0.0 -de - fr 1 303 2030 0.0 0.0 0.0 0.0 -de - fr 1 304 2030 0.0 0.0 0.0 0.0 -de - fr 1 305 2030 0.0 0.0 0.0 0.0 -de - fr 1 306 2030 0.0 0.0 0.0 0.0 -de - fr 1 307 2030 0.0 0.0 0.0 0.0 -de - fr 1 308 2030 0.0 0.0 0.0 0.0 -de - fr 1 309 2030 0.0 0.0 0.0 0.0 -de - fr 1 310 2030 0.0 0.0 0.0 0.0 -de - fr 1 311 2030 0.0 0.0 0.0 0.0 -de - fr 1 312 2030 0.0 0.0 0.0 0.0 -de - 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fr 1 5 2030 0.0 0.0 0.0 0.0 -es - fr 1 6 2030 0.0 0.0 0.0 0.0 -es - fr 1 7 2030 0.0 0.0 0.0 0.0 -es - fr 1 8 2030 0.0 0.0 0.0 0.0 -es - fr 1 9 2030 0.0 0.0 0.0 0.0 -es - fr 1 10 2030 0.0 0.0 0.0 0.0 -es - fr 1 11 2030 0.0 0.0 0.0 0.0 -es - fr 1 12 2030 0.0 0.0 0.0 0.0 -es - fr 1 13 2030 0.0 0.0 0.0 0.0 -es - fr 1 14 2030 0.0 0.0 0.0 0.0 -es - fr 1 15 2030 0.0 0.0 0.0 0.0 -es - fr 1 16 2030 0.0 0.0 0.0 0.0 -es - fr 1 17 2030 0.0 0.0 0.0 0.0 -es - fr 1 18 2030 0.0 0.0 0.0 0.0 -es - fr 1 19 2030 0.0 0.0 0.0 0.0 -es - fr 1 20 2030 0.0 0.0 0.0 0.0 -es - fr 1 21 2030 0.0 0.0 0.0 0.0 -es - fr 1 22 2030 0.0 0.0 0.0 0.0 -es - fr 1 23 2030 0.0 0.0 0.0 0.0 -es - fr 1 24 2030 0.0 0.0 0.0 0.0 -es - fr 1 25 2030 0.0 0.0 0.0 0.0 -es - fr 1 26 2030 0.0 0.0 0.0 0.0 -es - fr 1 27 2030 0.0 0.0 0.0 0.0 -es - fr 1 28 2030 0.0 0.0 0.0 0.0 -es - fr 1 29 2030 0.0 0.0 0.0 0.0 -es - fr 1 30 2030 0.0 0.0 0.0 0.0 -es - fr 1 31 2030 0.0 0.0 0.0 0.0 -es - fr 1 32 2030 0.0 0.0 0.0 0.0 -es - fr 1 33 2030 0.0 0.0 0.0 0.0 -es - 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COST CONG. PROB + +de - fr 1 1 2030 0.0 0.0 +de - fr 1 2 2030 0.0 0.0 +de - fr 1 3 2030 0.0 0.0 +de - fr 1 4 2030 0.0 0.0 +de - fr 1 5 2030 0.0 0.0 +de - fr 1 6 2030 0.0 0.0 +de - fr 1 7 2030 0.0 0.0 +de - fr 1 8 2030 0.0 0.0 +de - fr 1 9 2030 0.0 0.0 +de - fr 1 10 2030 0.0 0.0 +de - fr 1 11 2030 0.0 0.0 +de - fr 1 12 2030 0.0 0.0 +de - fr 1 13 2030 0.0 0.0 +de - fr 1 14 2030 0.0 0.0 +de - fr 1 15 2030 0.0 0.0 +de - fr 1 16 2030 0.0 0.0 +de - fr 1 17 2030 0.0 0.0 +de - fr 1 18 2030 0.0 0.0 +de - fr 1 19 2030 0.0 0.0 +de - fr 1 20 2030 0.0 0.0 +de - fr 1 21 2030 0.0 0.0 +de - fr 1 22 2030 0.0 0.0 +de - fr 1 23 2030 0.0 0.0 +de - fr 1 24 2030 0.0 0.0 +de - fr 1 25 2030 0.0 0.0 +de - fr 1 26 2030 0.0 0.0 +de - fr 1 27 2030 0.0 0.0 +de - fr 1 28 2030 0.0 0.0 +de - fr 1 29 2030 0.0 0.0 +de - fr 1 30 2030 0.0 0.0 +de - fr 1 31 2030 0.0 0.0 +de - fr 1 32 2030 0.0 0.0 +de - fr 1 33 2030 0.0 0.0 +de - fr 1 34 2030 0.0 0.0 +de - fr 1 35 2030 0.0 0.0 +de - fr 1 36 2030 0.0 0.0 +de - fr 1 37 2030 0.0 0.0 +de - fr 1 38 2030 0.0 0.0 +de - fr 1 39 2030 0.0 0.0 +de - fr 1 40 2030 0.0 0.0 +de - fr 1 41 2030 0.0 0.0 +de - fr 1 42 2030 0.0 0.0 +de - fr 1 43 2030 0.0 0.0 +de - fr 1 44 2030 0.0 0.0 +de - fr 1 45 2030 0.0 0.0 +de - fr 1 46 2030 0.0 0.0 +de - fr 1 47 2030 0.0 0.0 +de - fr 1 48 2030 0.0 0.0 +de - fr 1 49 2030 0.0 0.0 +de - fr 1 50 2030 0.0 0.0 +de - fr 1 51 2030 0.0 0.0 +de - fr 1 52 2030 0.0 0.0 +de - fr 1 53 2030 0.0 0.0 +de - fr 1 54 2030 0.0 0.0 +de - fr 1 55 2030 0.0 0.0 +de - fr 1 56 2030 0.0 0.0 +de - fr 1 57 2030 0.0 0.0 +de - fr 1 58 2030 0.0 0.0 +de - fr 1 59 2030 0.0 0.0 +de - fr 1 60 2030 0.0 0.0 +de - fr 1 61 2030 0.0 0.0 +de - fr 1 62 2030 0.0 0.0 +de - fr 1 63 2030 0.0 0.0 +de - fr 1 64 2030 0.0 0.0 +de - fr 1 65 2030 0.0 0.0 +de - fr 1 66 2030 0.0 0.0 +de - fr 1 67 2030 0.0 0.0 +de - fr 1 68 2030 0.0 0.0 +de - fr 1 69 2030 0.0 0.0 +de - fr 1 70 2030 0.0 0.0 +de - fr 1 71 2030 0.0 0.0 +de - fr 1 72 2030 0.0 0.0 +de - fr 1 73 2030 0.0 0.0 +de - fr 1 74 2030 0.0 0.0 +de - fr 1 75 2030 0.0 0.0 +de - 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fr 357 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 358 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 359 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 360 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 361 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 362 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 363 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 364 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +link timeId time MARG. COST MARG. COST.1 MARG. COST.2 MARG. COST.3 MARG. COST.4 MARG. COST.5 MARG. COST.6 MARG. COST.7 MARG. COST.8 MARG. COST.9 MARG. COST.10 MARG. COST.11 MARG. COST.12 MARG. COST.13 MARG. COST.14 MARG. COST.15 CONG. PROB + +de - fr 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 10 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 11 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 12 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 13 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 14 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 15 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 16 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 17 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 18 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 19 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 20 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 21 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 22 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 23 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 24 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 25 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 26 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 27 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 28 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 29 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 30 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 31 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 32 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 34 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 35 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 36 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 37 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 38 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - fr 39 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +de - 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"columns_regexes": "COST,NODU", + "columns_names": "COSt,NODu", }, "test-06.result.tsv", ), + ( + { + "output_id": "20201014-1425eco-goodbye", + "query_file": MCIndAreasQueryFile.DETAILS, + "frequency": MatrixFrequency.HOURLY, + "columns_names": "COSt,NODu", + }, + "test-07.result.tsv", + ), ] LINKS_REQUESTS__IND = [ @@ -110,7 +119,7 @@ "query_file": MCIndLinksQueryFile.VALUES, "frequency": MatrixFrequency.HOURLY, "mc_years": "1,2", - "columns_names": "UCAP LIN.,FLOW QUAD.", + "columns_names": "UCAP LIn.,FLOw qUAD.", }, "test-03.result.tsv", ), @@ -129,7 +138,7 @@ "output_id": "20201014-1425eco-goodbye", "query_file": MCIndLinksQueryFile.VALUES, "frequency": MatrixFrequency.HOURLY, - "columns_regexes": "COST,PROB", + "columns_names": "MArG. COsT,CONG. PRoB +", }, "test-05.result.tsv", ), @@ -234,7 +243,7 @@ "query_file": MCAllAreasQueryFile.VALUES, "frequency": MatrixFrequency.DAILY, "areas_ids": "", - "columns_names": "OP. COST,MRG. PRICE", + "columns_names": "OP. CoST,MRG. PrICE", }, "test-03-all.result.tsv", ), @@ -273,10 +282,19 @@ "output_id": "20201014-1427eco", "query_file": MCAllAreasQueryFile.VALUES, "frequency": MatrixFrequency.DAILY, - "columns_regexes": "COST,NODU", + "columns_names": "COsT,NoDU", }, "test-07-all.result.tsv", ), + ( + { + "output_id": "20201014-1427eco", + "query_file": MCAllAreasQueryFile.DETAILS, + "frequency": MatrixFrequency.MONTHLY, + "columns_names": "COsT,NoDU", + }, + "test-08-all.result.tsv", + ), ] LINKS_REQUESTS__ALL = [ @@ -330,7 +348,7 @@ "output_id": "20241807-1540eco-extra-outputs", "query_file": MCAllLinksQueryFile.VALUES, "frequency": MatrixFrequency.DAILY, - "columns_regexes": "COST,PROB", + "columns_names": "MARG. COsT,CONG. ProB +", }, "test-06-all.result.tsv", ), @@ -562,6 +580,38 @@ def test_aggregation_with_wrong_output(self, client: TestClient, user_access_tok assert res.json()["exception"] == "OutputNotFound" assert "unknown_id" in res.json()["description"], "The output_id should be in the message" + def test_empty_columns(self, client: TestClient, user_access_token: str, internal_study_id: str): + """ + Asserts that requests get an empty dataframe when columns are not existing + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + + # test for areas + res = client.get( + f"/v1/studies/{internal_study_id}/areas/aggregate/mc-ind/20201014-1425eco-goodbye", + params={ + "query_file": MCIndAreasQueryFile.DETAILS, + "frequency": MatrixFrequency.HOURLY, + "columns_names": "fake_col", + }, + ) + assert res.status_code == 200, res.json() + df = pd.read_csv(io.BytesIO(res.content), index_col=0, sep=",") + assert df.empty + + # test for links + res = client.get( + f"/v1/studies/{internal_study_id}/links/aggregate/mc-ind/20201014-1425eco-goodbye", + params={ + "query_file": MCIndLinksQueryFile.VALUES, + "frequency": MatrixFrequency.HOURLY, + "columns_names": "fake_col", + }, + ) + assert res.status_code == 200, res.json() + df = pd.read_csv(io.BytesIO(res.content), index_col=0, sep=",") + assert df.empty + @pytest.mark.integration_test class TestRawDataAggregationMCAll: @@ -717,3 +767,36 @@ def test_aggregation_with_wrong_output(self, client: TestClient, user_access_tok assert res.status_code == 404, res.json() assert res.json()["exception"] == "OutputNotFound" assert "unknown_id" in res.json()["description"], "The output_id should be in the message" + + def test_empty_columns(self, client: TestClient, user_access_token: str, internal_study_id: str): + """ + Asserts that requests get an empty dataframe when columns are not existing + """ + + client.headers = {"Authorization": f"Bearer {user_access_token}"} + + # test for areas + res = client.get( + f"/v1/studies/{internal_study_id}/areas/aggregate/mc-all/20201014-1427eco", + params={ + "query_file": MCAllAreasQueryFile.DETAILS, + "frequency": MatrixFrequency.MONTHLY, + "columns_names": "fake_col", + }, + ) + assert res.status_code == 200, res.json() + df = pd.read_csv(io.BytesIO(res.content), index_col=0, sep=",") + assert df.empty + + # test for links + res = client.get( + f"/v1/studies/{internal_study_id}/links/aggregate/mc-all/20241807-1540eco-extra-outputs", + params={ + "query_file": MCAllLinksQueryFile.VALUES, + "frequency": MatrixFrequency.DAILY, + "columns_names": "fake_col", + }, + ) + assert res.status_code == 200, res.json() + df = pd.read_csv(io.BytesIO(res.content), index_col=0, sep=",") + assert df.empty From 10a0650a0ec7ded42b8fdd210c2531dd1bbb7186 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Thu, 8 Aug 2024 15:32:09 +0200 Subject: [PATCH 11/19] feat(aggregation-api): add `cluster` column for `details-XXX` query files --- .../study/business/aggregator_management.py | 142 +- .../test-01-all.result.tsv | 2 +- .../test-02-all.result.tsv | 12 +- .../test-02.result.tsv | 10082 +++++- .../test-03-all.result.tsv | 30 +- .../test-04-all.result.tsv | 2 +- .../test-05-all.result.tsv | 2 +- .../test-06-all.result.tsv | 2 +- .../test-07-all.result.tsv | 30 +- .../test-07.result.tsv | 26882 ++++++++++++++-- .../test-08-all.result.tsv | 22 +- .../test-01-all.result.tsv | 2 +- .../test-02-all.result.tsv | 2 +- .../test-03-all.result.tsv | 2 +- .../test-04-all.result.tsv | 2 +- .../test-05-all.result.tsv | 2 +- .../test-06-all.result.tsv | 730 +- 17 files changed, 33802 insertions(+), 4146 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index 23f2a5fecc..c18f5bf3ad 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -27,10 +27,17 @@ """Column name for the time index.""" TIME_COL = "time" """Column name for the timestamp.""" +CLUSTER_ID_COL = "cluster" +"""Column name for the cluster id.""" MC_YEAR_INDEX = 0 """Index in path parts starting from the Monte Carlo year to determine the Monte Carlo year.""" AREA_OR_LINK_INDEX__IND, AREA_OR_LINK_INDEX__ALL = 2, 1 """Indexes in path parts starting from the output root `economy//mc-(ind/all)` to determine the area/link name.""" +PRODUCTION_COLUMN_NAME = "production" +PRODUCTION_COLUMN_REGEX = "mwh" +CLUSTER_ID_COMPONENT = 0 +ACTUAL_COLUMN_COMPONENT = 1 +DUMMY_COMPONENT = 2 logger = logging.getLogger(__name__) @@ -71,6 +78,42 @@ def _checks_estimated_size(nb_files: int, df_bytes_size: int, nb_files_checked: raise FileTooLargeError(estimated_df_size, maximum_size) +def _columns_ordering(df_cols: t.List[str], column_name: str, is_details: bool, mc_root: MCRoot) -> t.Sequence[str]: + org_cols = df_cols.copy() + if mc_root == MCRoot.MC_ALL: + org_cols = [ + col for col in org_cols if col not in {column_name, CLUSTER_ID_COL, MCYEAR_COL, TIME_ID_COL, TIME_COL} + ] + if is_details: + org_cols = [col for col in org_cols if col != CLUSTER_ID_COL and col != TIME_ID_COL] + if mc_root == MCRoot.MC_IND: + new_column_order = ( + [column_name] + ([CLUSTER_ID_COL] if is_details else []) + [MCYEAR_COL, TIME_ID_COL, TIME_COL] + org_cols + ) + elif mc_root == MCRoot.MC_ALL: + new_column_order = [column_name] + ([CLUSTER_ID_COL] if is_details else []) + [TIME_ID_COL, TIME_COL] + org_cols + else: + raise NotImplementedError(f"Unknown Monte Carlo root: {mc_root}") + + return new_column_order + + +def _infer_production_column(cols: t.Sequence[str]) -> t.Optional[str]: + prod_col = None + for c in cols: + if PRODUCTION_COLUMN_REGEX in c.lower().strip(): + prod_col = c + break + return prod_col + + +def _infer_time_id(df: pd.DataFrame, is_details: bool) -> t.List[int]: + if is_details: + return df[TIME_ID_COL].tolist() + else: + return list(range(1, len(df) + 1)) + + class AggregatorManager: def __init__( self, @@ -108,7 +151,7 @@ def __init__( else MCRoot.MC_ALL ) - def _parse_output_file(self, file_path: Path) -> pd.DataFrame: + def _parse_output_file(self, file_path: Path, normalize: bool = True) -> pd.DataFrame: csv_file = pd.read_csv( file_path, sep="\t", @@ -121,10 +164,17 @@ def _parse_output_file(self, file_path: Path) -> pd.DataFrame: date, body = date_serializer.extract_date(csv_file) df = rename_unnamed(body).astype(float) + if not normalize: + df.index = date + return df + # normalize columns names new_cols = [] for col in body.columns: - name_to_consider = col[0] if self.query_file.value == MCIndAreasQueryFile.VALUES else " ".join(col) + if self.mc_root == MCRoot.MC_IND: + name_to_consider = col[0] if self.query_file.value == MCIndAreasQueryFile.VALUES else " ".join(col) + else: + name_to_consider = " ".join([col[0], col[2]]) new_cols.append(name_to_consider.upper().strip()) df.index = date @@ -202,6 +252,10 @@ def columns_filtering(self, df: pd.DataFrame, is_details: bool) -> pd.DataFrame: lower_case_columns = [c.lower() for c in self.columns_names] if lower_case_columns: if is_details: + filtered_columns = [CLUSTER_ID_COL, TIME_ID_COL] + [ + c for c in df.columns.tolist() if any(regex in c.lower() for regex in lower_case_columns) + ] + elif self.mc_root == MCRoot.MC_ALL: filtered_columns = [ c for c in df.columns.tolist() if any(regex in c.lower() for regex in lower_case_columns) ] @@ -210,7 +264,41 @@ def columns_filtering(self, df: pd.DataFrame, is_details: bool) -> pd.DataFrame: df = df.loc[:, filtered_columns] return df + def _process_df(self, file_path: Path, is_details: bool) -> pd.DataFrame: + if is_details: + un_normalized_df = self._parse_output_file(file_path, normalize=False) + df_len = len(un_normalized_df) + cluster_dummy_product_cols = sorted( + set([(x[CLUSTER_ID_COMPONENT], x[DUMMY_COMPONENT]) for x in un_normalized_df.columns]) + ) + actual_cols = sorted(set(un_normalized_df.columns.map(lambda x: x[ACTUAL_COLUMN_COMPONENT]))) + new_obj: t.Dict[str, t.Any] = {k: [] for k in actual_cols} + new_obj[CLUSTER_ID_COL] = [] + new_obj[TIME_ID_COL] = [] + for cluster_id, dummy_component in cluster_dummy_product_cols: + for actual_col in actual_cols: + col_values = un_normalized_df[(cluster_id, actual_col, dummy_component)].tolist() # type: ignore + new_obj[actual_col] += col_values + new_obj[CLUSTER_ID_COL] += [cluster_id for _ in range(df_len)] + new_obj[TIME_ID_COL] += list(range(1, df_len + 1)) + + prod_col = _infer_production_column(actual_cols) + if prod_col is not None: + new_obj[PRODUCTION_COLUMN_NAME] = new_obj.pop(prod_col) + actual_cols.remove(prod_col) + + add_prod = [PRODUCTION_COLUMN_NAME] if prod_col is not None else [] + columns_order = [CLUSTER_ID_COL, TIME_ID_COL] + add_prod + list(actual_cols) + df = pd.DataFrame(new_obj).reindex(columns=columns_order).sort_values(by=[TIME_ID_COL, CLUSTER_ID_COL]) + df.index = pd.Index(list(range(1, len(df) + 1))) + + return df + + else: + return self._parse_output_file(file_path) + def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: + assert self.mc_root in [MCRoot.MC_IND, MCRoot.MC_ALL], f"Unknown Monte Carlo root: {self.mc_root}" is_details = self.query_file in [ MCIndAreasQueryFile.DETAILS, MCAllAreasQueryFile.DETAILS, @@ -222,14 +310,14 @@ def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFram final_df = pd.DataFrame() nb_files = len(files) for k, file_path in enumerate(files): - df = self._parse_output_file(file_path) + df = self._process_df(file_path, is_details) # columns filtering df = self.columns_filtering(df, is_details) # if no columns, no need to continue list_of_df_columns = df.columns.tolist() - if not list_of_df_columns: + if not list_of_df_columns or set(list_of_df_columns) == {CLUSTER_ID_COL, TIME_ID_COL}: return pd.DataFrame() # checks if the estimated dataframe size does not exceed the limit @@ -239,50 +327,26 @@ def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFram estimated_binary_size = final_df.memory_usage().sum() _checks_estimated_size(nb_files, estimated_binary_size, k) + column_name = AREA_COL if self.output_type == "areas" else LINK_COL + new_column_order = _columns_ordering(list_of_df_columns, column_name, is_details, self.mc_root) + if self.mc_root == MCRoot.MC_IND: # add column for links/areas relative_path_parts = file_path.relative_to(self.mc_ind_path).parts - column_name = AREA_COL if self.output_type == "areas" else LINK_COL - new_column_order = [column_name, MCYEAR_COL, TIME_ID_COL, TIME_COL] + list_of_df_columns df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__IND] - # add column to record the Monte Carlo year df[MCYEAR_COL] = int(relative_path_parts[MC_YEAR_INDEX]) - - # add a column for the time id - df[TIME_ID_COL] = list(range(1, len(df) + 1)) - # add horizon column - df[TIME_COL] = horizon - - # Reorganize the columns - df = df.reindex(columns=new_column_order) else: - # first columns df - # first we include the time id column - first_columns_df = pd.DataFrame( - { - TIME_ID_COL: list(range(1, len(df) + 1)), - } - ) - # add column for links/areas relative_path_parts = file_path.relative_to(self.mc_all_path).parts - column_name = AREA_COL if self.output_type == "areas" else LINK_COL - first_columns_df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__ALL] - - # add horizon column - first_columns_df[TIME_COL] = horizon - - # reorder first columns - new_column_order = [column_name, TIME_ID_COL, TIME_COL] - first_columns_df = first_columns_df.reindex(columns=new_column_order) - - # reset index - # noinspection PyTypeChecker - first_columns_df.set_index(df.index, inplace=True) - - # merge first columns with the rest of the df - df = pd.merge(first_columns_df, df, left_index=True, right_index=True) + df[column_name] = relative_path_parts[AREA_OR_LINK_INDEX__ALL] + + # add a column for the time id + df[TIME_ID_COL] = _infer_time_id(df, is_details) + # add horizon column + df[TIME_COL] = horizon + # Reorganize the columns + df = df.reindex(columns=pd.Index(new_column_order)) final_df = pd.concat([final_df, df], ignore_index=True) diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-01-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-01-all.result.tsv index 9c92ef96e8..5232984b37 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-01-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-01-all.result.tsv @@ -1,4 +1,4 @@ -area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 MRG. PRICE MRG. PRICE.1 MRG. PRICE.2 MRG. PRICE.3 CO2 EMIS. BALANCE BALANCE.1 BALANCE.2 BALANCE.3 ROW BAL. PSP MISC. NDG LOAD LOAD.1 LOAD.2 LOAD.3 H. ROR H. ROR.1 H. ROR.2 H. ROR.3 WIND WIND.1 WIND.2 WIND.3 SOLAR SOLAR.1 SOLAR.2 SOLAR.3 NUCLEAR NUCLEAR.1 NUCLEAR.2 NUCLEAR.3 LIGNITE LIGNITE.1 LIGNITE.2 LIGNITE.3 COAL COAL.1 COAL.2 COAL.3 GAS GAS.1 GAS.2 GAS.3 OIL OIL.1 OIL.2 OIL.3 MIX. FUEL MIX. FUEL.1 MIX. FUEL.2 MIX. FUEL.3 MISC. DTG MISC. DTG.1 MISC. DTG.2 MISC. DTG.3 H. STOR H. STOR.1 H. STOR.2 H. STOR.3 H. PUMP H. PUMP.1 H. PUMP.2 H. PUMP.3 H. LEV H. LEV.1 H. LEV.2 H. LEV.3 H. INFL H. INFL.1 H. INFL.2 H. INFL.3 H. OVFL H. OVFL.1 H. OVFL.2 H. OVFL.3 H. VAL H. VAL.1 H. VAL.2 H. VAL.3 H. COST H. COST.1 H. COST.2 H. COST.3 UNSP. ENRG UNSP. ENRG.1 UNSP. ENRG.2 UNSP. ENRG.3 SPIL. ENRG SPIL. ENRG.1 SPIL. ENRG.2 SPIL. ENRG.3 LOLD LOLD.1 LOLD.2 LOLD.3 LOLP AVL DTG AVL DTG.1 AVL DTG.2 AVL DTG.3 DTG MRG DTG MRG.1 DTG MRG.2 DTG MRG.3 MAX MRG MAX MRG.1 MAX MRG.2 MAX MRG.3 NP COST NP COST.1 NP COST.2 NP COST.3 NODU NODU.1 NODU.2 NODU.3 +area timeId time OV. COST EXP OP. COST EXP OP. COST STD OP. COST MIN OP. COST MAX MRG. PRICE EXP MRG. PRICE STD MRG. PRICE MIN MRG. PRICE MAX CO2 EMIS. EXP BALANCE EXP BALANCE STD BALANCE MIN BALANCE MAX ROW BAL. VALUES PSP EXP MISC. NDG EXP LOAD EXP LOAD STD LOAD MIN LOAD MAX H. ROR EXP H. ROR STD H. ROR MIN H. ROR MAX WIND EXP WIND STD WIND MIN WIND MAX SOLAR EXP SOLAR STD SOLAR MIN SOLAR MAX NUCLEAR EXP NUCLEAR STD NUCLEAR MIN NUCLEAR MAX LIGNITE EXP LIGNITE STD LIGNITE MIN LIGNITE MAX COAL EXP COAL STD COAL MIN COAL MAX GAS EXP GAS STD GAS MIN GAS MAX OIL EXP OIL STD OIL MIN OIL MAX MIX. FUEL EXP MIX. FUEL STD MIX. FUEL MIN MIX. FUEL MAX MISC. DTG EXP MISC. DTG STD MISC. DTG MIN MISC. DTG MAX H. STOR EXP H. STOR STD H. STOR MIN H. STOR MAX H. PUMP EXP H. PUMP STD H. PUMP MIN H. PUMP MAX H. LEV EXP H. LEV STD H. LEV MIN H. LEV MAX H. INFL EXP H. INFL STD H. INFL MIN H. INFL MAX H. OVFL EXP H. OVFL STD H. OVFL MIN H. OVFL MAX H. VAL EXP H. VAL STD H. VAL MIN H. VAL MAX H. COST EXP H. COST STD H. COST MIN H. COST MAX UNSP. ENRG EXP UNSP. ENRG STD UNSP. ENRG MIN UNSP. ENRG MAX SPIL. ENRG EXP SPIL. ENRG STD SPIL. ENRG MIN SPIL. ENRG MAX LOLD EXP LOLD STD LOLD MIN LOLD MAX LOLP VALUES AVL DTG EXP AVL DTG STD AVL DTG MIN AVL DTG MAX DTG MRG EXP DTG MRG STD DTG MRG MIN DTG MRG MAX MAX MRG EXP MAX MRG STD MAX MRG MIN MAX MRG MAX NP COST EXP NP COST STD NP COST MIN NP COST MAX NODU EXP NODU STD NODU MIN NODU MAX de 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 404400.0 0.0 404400.0 404400.0 404400.0 0.0 404400.0 404400.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 de 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 346800.0 0.0 346800.0 346800.0 346800.0 0.0 346800.0 346800.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 de 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 289200.0 0.0 289200.0 289200.0 289200.0 0.0 289200.0 289200.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02-all.result.tsv index 8c4b55cb4f..1cd8562aac 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02-all.result.tsv @@ -1,2 +1,10 @@ -area timeId time 01_SOLAR MWH EXP 02_WIND_ON MWH EXP 03_WIND_OFF MWH EXP 04_RES MWH EXP 05_NUCLEAR MWH EXP 06_COAL MWH EXP 07_GAS MWH EXP 08_NON-RES MWH EXP 09_HYDRO_PUMP MWH EXP 01_SOLAR NP COST - EURO EXP 02_WIND_ON NP COST - EURO EXP 03_WIND_OFF NP COST - EURO EXP 04_RES NP COST - EURO EXP 05_NUCLEAR NP COST - EURO EXP 06_COAL NP COST - EURO EXP 07_GAS NP COST - EURO EXP 08_NON-RES NP COST - EURO EXP 09_HYDRO_PUMP NP COST - EURO EXP 01_SOLAR NODU EXP 02_WIND_ON NODU EXP 03_WIND_OFF NODU EXP 04_RES NODU EXP 05_NUCLEAR NODU EXP 06_COAL NODU EXP 07_GAS NODU EXP 08_NON-RES NODU EXP 09_HYDRO_PUMP NODU EXP -de 1 2030 315000.0 275000.0 235000.0 195000.0 155000.0 115000.0 75000.0 35000.0 2800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 167.0 147.0 127.0 107.0 87.0 67.0 47.0 27.0 7.0 +area cluster timeId time production NODU NP Cost - Euro +de 01_solar 1 2030 315000.0 167.0 0.0 +de 02_wind_on 1 2030 275000.0 147.0 0.0 +de 03_wind_off 1 2030 235000.0 127.0 0.0 +de 04_res 1 2030 195000.0 107.0 0.0 +de 05_nuclear 1 2030 155000.0 87.0 0.0 +de 06_coal 1 2030 115000.0 67.0 0.0 +de 07_gas 1 2030 75000.0 47.0 0.0 +de 08_non-res 1 2030 35000.0 27.0 0.0 +de 09_hydro_pump 1 2030 2800.0 7.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02.result.tsv index 54ce752e07..e8f08094b2 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-02.result.tsv @@ -1,1009 +1,9073 @@ -area mcYear timeId time 01_SOLAR MWH 02_WIND_ON MWH 03_WIND_OFF MWH 04_RES MWH 05_NUCLEAR MWH 06_COAL MWH 07_GAS MWH 08_NON-RES MWH 09_HYDRO_PUMP MWH 01_SOLAR NP COST - EURO 02_WIND_ON NP COST - EURO 03_WIND_OFF NP COST - EURO 04_RES NP COST - EURO 05_NUCLEAR NP COST - EURO 06_COAL NP COST - EURO 07_GAS NP COST - EURO 08_NON-RES NP COST - EURO 09_HYDRO_PUMP NP COST - EURO 01_SOLAR NODU 02_WIND_ON NODU 03_WIND_OFF NODU 04_RES NODU 05_NUCLEAR NODU 06_COAL NODU 07_GAS NODU 08_NON-RES NODU 09_HYDRO_PUMP NODU -de 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 2 2030 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 3 2030 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 4 2030 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 5 2030 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 6 2030 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 7 2030 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 8 2030 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 9 2030 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 10 2030 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 11 2030 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 12 2030 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 13 2030 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 14 2030 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 15 2030 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 16 2030 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 17 2030 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 18 2030 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 19 2030 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 20 2030 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 21 2030 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 22 2030 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 23 2030 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 24 2030 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 25 2030 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 26 2030 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 27 2030 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 28 2030 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 29 2030 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 30 2030 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 31 2030 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 32 2030 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 33 2030 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 34 2030 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 35 2030 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 36 2030 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 37 2030 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 38 2030 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 39 2030 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 40 2030 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 41 2030 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 42 2030 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 43 2030 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 44 2030 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 45 2030 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 46 2030 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 47 2030 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 48 2030 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 49 2030 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 50 2030 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 51 2030 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 52 2030 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 53 2030 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 54 2030 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 55 2030 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 56 2030 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 57 2030 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 58 2030 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 59 2030 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 60 2030 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 61 2030 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 62 2030 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 63 2030 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 64 2030 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 65 2030 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 66 2030 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 67 2030 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 68 2030 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 69 2030 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 70 2030 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 71 2030 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 72 2030 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 73 2030 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 74 2030 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 75 2030 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 76 2030 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 77 2030 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 78 2030 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 79 2030 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 80 2030 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 81 2030 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 82 2030 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 83 2030 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 84 2030 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 85 2030 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 86 2030 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 87 2030 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 88 2030 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 89 2030 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 90 2030 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 91 2030 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 92 2030 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 93 2030 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 94 2030 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 95 2030 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 96 2030 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 97 2030 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 98 2030 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 99 2030 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 100 2030 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 101 2030 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 102 2030 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 103 2030 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 104 2030 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 105 2030 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 106 2030 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 107 2030 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 108 2030 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 109 2030 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 110 2030 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 111 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 112 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 113 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 114 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 115 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 116 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 117 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 118 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 119 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 120 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 121 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 122 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 123 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 124 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 125 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 126 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 127 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 128 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 129 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 130 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 131 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 132 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 133 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 134 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 135 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 136 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 137 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 138 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 139 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 140 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 141 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 142 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 143 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 144 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 145 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 146 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 147 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 148 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 149 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 150 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 151 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 152 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 153 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 154 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 155 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 156 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 157 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 158 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 159 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 160 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 161 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 162 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 163 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 164 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 165 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 166 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 167 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 168 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 170 2030 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 171 2030 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 172 2030 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 173 2030 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 174 2030 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 175 2030 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 176 2030 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 177 2030 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 178 2030 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 179 2030 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 180 2030 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 181 2030 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 182 2030 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 183 2030 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 184 2030 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 185 2030 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 186 2030 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 187 2030 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 188 2030 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 189 2030 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 190 2030 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 191 2030 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 192 2030 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 193 2030 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 194 2030 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 195 2030 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 196 2030 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 197 2030 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 198 2030 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 199 2030 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 200 2030 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 201 2030 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 202 2030 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 203 2030 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 204 2030 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 205 2030 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 206 2030 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 207 2030 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 208 2030 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 209 2030 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 210 2030 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 211 2030 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 212 2030 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 213 2030 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 214 2030 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 215 2030 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 216 2030 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 217 2030 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 218 2030 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 219 2030 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 220 2030 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 221 2030 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 222 2030 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 223 2030 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 224 2030 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 225 2030 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 226 2030 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 227 2030 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 228 2030 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 229 2030 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 230 2030 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 231 2030 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 232 2030 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 233 2030 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 234 2030 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 235 2030 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 236 2030 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 237 2030 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 238 2030 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 239 2030 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 240 2030 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 241 2030 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 242 2030 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 243 2030 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 244 2030 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 245 2030 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 246 2030 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 247 2030 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 248 2030 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 249 2030 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 250 2030 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 251 2030 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 252 2030 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 253 2030 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 254 2030 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 255 2030 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 256 2030 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 257 2030 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 258 2030 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 259 2030 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 260 2030 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 261 2030 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 262 2030 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 263 2030 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 264 2030 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 265 2030 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 266 2030 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 267 2030 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 268 2030 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 269 2030 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 270 2030 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 271 2030 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 272 2030 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 273 2030 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 274 2030 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 275 2030 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 276 2030 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 277 2030 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 278 2030 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 279 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 280 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 281 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 282 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 283 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 284 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 285 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 286 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 287 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 288 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 289 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 290 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 291 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 292 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 293 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 294 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 295 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 296 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 297 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 298 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 299 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 300 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 301 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 302 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 303 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 304 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 305 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 306 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 307 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 308 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 309 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 310 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 311 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 312 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 313 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 314 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 315 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 316 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 317 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 318 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 319 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 320 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 321 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 322 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 323 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 324 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 325 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 326 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 327 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 328 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 329 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 330 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 331 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 332 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 333 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 334 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 335 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 336 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 2 2030 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 3 2030 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 4 2030 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 5 2030 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 6 2030 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 7 2030 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 8 2030 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 9 2030 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 10 2030 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 11 2030 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 12 2030 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 13 2030 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 14 2030 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 15 2030 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 16 2030 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 17 2030 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 18 2030 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 19 2030 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 20 2030 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 21 2030 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 22 2030 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 23 2030 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 24 2030 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 25 2030 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 26 2030 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 27 2030 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 28 2030 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 29 2030 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 30 2030 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 31 2030 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 32 2030 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 33 2030 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 34 2030 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 35 2030 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 36 2030 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 37 2030 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 38 2030 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 39 2030 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 40 2030 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 41 2030 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 42 2030 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 43 2030 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 44 2030 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 45 2030 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 46 2030 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 47 2030 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 48 2030 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 49 2030 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 50 2030 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 51 2030 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 52 2030 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 53 2030 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 54 2030 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 55 2030 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 56 2030 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 57 2030 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 58 2030 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 59 2030 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 60 2030 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 61 2030 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 62 2030 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 63 2030 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 64 2030 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 65 2030 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 66 2030 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 67 2030 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 68 2030 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 69 2030 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 70 2030 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 71 2030 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 72 2030 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 73 2030 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 74 2030 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 75 2030 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 76 2030 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 77 2030 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 78 2030 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 79 2030 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 80 2030 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 81 2030 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 82 2030 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 83 2030 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 84 2030 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 85 2030 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 86 2030 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 87 2030 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 88 2030 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 89 2030 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 90 2030 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 91 2030 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 92 2030 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 93 2030 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 94 2030 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 95 2030 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 96 2030 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 97 2030 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 98 2030 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 99 2030 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 100 2030 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 101 2030 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 102 2030 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 103 2030 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 104 2030 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 105 2030 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 106 2030 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 107 2030 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 108 2030 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 109 2030 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 110 2030 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 111 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 112 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 113 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 114 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 115 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 116 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 117 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 118 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 119 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 120 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 121 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 122 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 123 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 124 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 125 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 126 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 127 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 128 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 129 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 130 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 131 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 132 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 133 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 134 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 135 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 136 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 137 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 138 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 139 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 140 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 141 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 142 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 143 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 144 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 145 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 146 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 147 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 148 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 149 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 150 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 151 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 152 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 153 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 154 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 155 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 156 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 157 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 158 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 159 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 160 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 161 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 162 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 163 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 164 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 165 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 166 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 167 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 168 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 170 2030 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 171 2030 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 172 2030 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 173 2030 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 174 2030 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 175 2030 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 176 2030 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 177 2030 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 178 2030 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 179 2030 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 180 2030 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 181 2030 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 182 2030 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 183 2030 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 184 2030 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 185 2030 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 186 2030 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 187 2030 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 188 2030 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 189 2030 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 190 2030 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 191 2030 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 192 2030 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 193 2030 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 194 2030 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 195 2030 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 196 2030 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 197 2030 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 198 2030 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 199 2030 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 200 2030 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 201 2030 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 202 2030 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 203 2030 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 204 2030 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 205 2030 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 206 2030 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 207 2030 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 208 2030 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 209 2030 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 210 2030 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 211 2030 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 212 2030 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 213 2030 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 214 2030 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 215 2030 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 216 2030 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 217 2030 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 218 2030 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 219 2030 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 220 2030 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 221 2030 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 222 2030 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 223 2030 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 224 2030 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 225 2030 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 226 2030 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 227 2030 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 228 2030 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 229 2030 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 230 2030 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 231 2030 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 232 2030 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 233 2030 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 234 2030 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 235 2030 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 236 2030 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 237 2030 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 238 2030 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 239 2030 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 240 2030 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 241 2030 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 242 2030 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 243 2030 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 244 2030 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 245 2030 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 246 2030 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 247 2030 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 248 2030 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 249 2030 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 250 2030 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 251 2030 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 252 2030 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 253 2030 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 254 2030 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 255 2030 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 256 2030 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 257 2030 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 258 2030 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 259 2030 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 260 2030 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 261 2030 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 262 2030 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 263 2030 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 264 2030 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 265 2030 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 266 2030 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 267 2030 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 268 2030 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 269 2030 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 270 2030 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 271 2030 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 272 2030 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 273 2030 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 274 2030 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 275 2030 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 276 2030 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 277 2030 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 278 2030 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 279 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 280 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 281 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 282 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 283 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 284 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 285 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 286 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 287 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 288 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 289 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 290 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 291 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 292 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 293 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 294 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 295 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 296 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 297 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 298 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 299 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 300 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 301 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 302 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 303 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 304 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 305 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 306 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 307 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 308 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 309 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 310 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 311 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 312 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 313 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 314 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 315 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 316 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 317 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 318 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 319 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 320 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 321 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 322 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 323 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 324 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 325 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 326 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 327 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 328 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 329 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 330 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 331 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 332 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 333 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 334 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 335 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 336 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 2 2030 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 3 2030 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 4 2030 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 5 2030 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 6 2030 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 7 2030 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 8 2030 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 9 2030 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 10 2030 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 11 2030 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 12 2030 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 13 2030 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 14 2030 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 15 2030 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 16 2030 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 17 2030 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 18 2030 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 19 2030 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 20 2030 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 21 2030 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 22 2030 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 23 2030 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 24 2030 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 25 2030 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 26 2030 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 27 2030 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 28 2030 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 29 2030 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 30 2030 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 31 2030 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 32 2030 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 33 2030 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 34 2030 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 35 2030 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 36 2030 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 37 2030 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 38 2030 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 39 2030 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 40 2030 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 41 2030 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 42 2030 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 43 2030 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 44 2030 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 45 2030 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 46 2030 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 47 2030 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 48 2030 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 49 2030 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 50 2030 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 51 2030 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 52 2030 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 53 2030 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 54 2030 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 55 2030 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 56 2030 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 57 2030 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 58 2030 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 59 2030 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 60 2030 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 61 2030 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 62 2030 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 63 2030 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 64 2030 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 65 2030 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 66 2030 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 67 2030 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 68 2030 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 69 2030 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 70 2030 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 71 2030 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 72 2030 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 73 2030 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 74 2030 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 75 2030 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 76 2030 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 77 2030 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 78 2030 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 79 2030 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 80 2030 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 81 2030 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 82 2030 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 83 2030 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 84 2030 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 85 2030 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 86 2030 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 87 2030 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 88 2030 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 89 2030 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 90 2030 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 91 2030 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 92 2030 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 93 2030 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 94 2030 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 95 2030 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 96 2030 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 97 2030 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 98 2030 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 99 2030 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 100 2030 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 101 2030 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 102 2030 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 103 2030 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 104 2030 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 105 2030 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 106 2030 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 107 2030 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 108 2030 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 109 2030 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 110 2030 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 111 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 112 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 113 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 114 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 115 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 116 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 117 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 118 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 119 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 120 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 121 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 122 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 123 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 124 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 125 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 126 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 127 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 128 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 129 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 130 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 131 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 132 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 133 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 134 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 135 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 136 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 137 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 138 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 139 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 140 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 141 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 142 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 143 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 144 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 145 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 146 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 147 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 148 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 149 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 150 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 151 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 152 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 153 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 154 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 155 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 156 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 157 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 158 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 159 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 160 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 161 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 162 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 163 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 164 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 165 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 166 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 167 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 168 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 170 2030 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 171 2030 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 172 2030 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 173 2030 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 174 2030 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 175 2030 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 176 2030 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 177 2030 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 178 2030 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 179 2030 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 180 2030 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 181 2030 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 182 2030 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 183 2030 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 184 2030 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 185 2030 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 186 2030 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 187 2030 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 188 2030 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 189 2030 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 190 2030 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 191 2030 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 192 2030 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 193 2030 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 194 2030 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 195 2030 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 196 2030 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 197 2030 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 198 2030 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 199 2030 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 200 2030 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 201 2030 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 202 2030 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 203 2030 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 204 2030 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 205 2030 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 206 2030 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 207 2030 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 208 2030 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 209 2030 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 210 2030 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 211 2030 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 212 2030 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 213 2030 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 214 2030 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 215 2030 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 216 2030 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 217 2030 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 218 2030 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 219 2030 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 220 2030 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 221 2030 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 222 2030 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 223 2030 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 224 2030 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 225 2030 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 226 2030 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 227 2030 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 228 2030 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 229 2030 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 230 2030 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 231 2030 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 232 2030 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 233 2030 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 234 2030 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 235 2030 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 236 2030 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 237 2030 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 238 2030 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 239 2030 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 240 2030 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 241 2030 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 242 2030 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 243 2030 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 244 2030 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -it 1 245 2030 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 0.0 -it 1 253 2030 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 254 2030 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 255 2030 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 256 2030 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 257 2030 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 258 2030 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 259 2030 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 260 2030 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 261 2030 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 262 2030 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 263 2030 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 264 2030 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 265 2030 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 266 2030 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 267 2030 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 268 2030 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 269 2030 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -it 1 270 2030 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 271 2030 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 272 2030 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 273 2030 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 274 2030 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 275 2030 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 276 2030 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 277 2030 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 278 2030 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 279 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 280 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 281 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 282 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 283 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 284 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 285 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 286 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 287 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 288 2030 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 289 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -it 1 290 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 291 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 292 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 293 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 294 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 295 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 296 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 297 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 298 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 299 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 300 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 301 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 302 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 303 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 304 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 305 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 306 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 307 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 308 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 309 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -it 1 310 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 311 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 312 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 313 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 314 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 315 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 316 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 317 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 318 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 319 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 320 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 321 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 322 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 323 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 324 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 325 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 326 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 327 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 328 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 1900.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 329 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -it 1 330 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 331 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 332 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 300.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 333 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 400.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 334 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 500.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 335 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 336 2030 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 2000.0 700.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 +area cluster mcYear timeId time production NODU NP Cost - Euro +de 01_solar 1 1 2030 0.0 0.0 0.0 +de 02_wind_on 1 1 2030 0.0 0.0 0.0 +de 03_wind_off 1 1 2030 0.0 0.0 0.0 +de 04_res 1 1 2030 0.0 0.0 0.0 +de 05_nuclear 1 1 2030 0.0 0.0 0.0 +de 06_coal 1 1 2030 0.0 0.0 0.0 +de 07_gas 1 1 2030 0.0 0.0 0.0 +de 08_non-res 1 1 2030 0.0 0.0 0.0 +de 09_hydro_pump 1 1 2030 0.0 0.0 0.0 +de 01_solar 1 2 2030 100.0 1.0 0.0 +de 02_wind_on 1 2 2030 0.0 0.0 0.0 +de 03_wind_off 1 2 2030 0.0 0.0 0.0 +de 04_res 1 2 2030 0.0 0.0 0.0 +de 05_nuclear 1 2 2030 0.0 0.0 0.0 +de 06_coal 1 2 2030 0.0 0.0 0.0 +de 07_gas 1 2 2030 0.0 0.0 0.0 +de 08_non-res 1 2 2030 0.0 0.0 0.0 +de 09_hydro_pump 1 2 2030 0.0 0.0 0.0 +de 01_solar 1 3 2030 200.0 1.0 0.0 +de 02_wind_on 1 3 2030 0.0 0.0 0.0 +de 03_wind_off 1 3 2030 0.0 0.0 0.0 +de 04_res 1 3 2030 0.0 0.0 0.0 +de 05_nuclear 1 3 2030 0.0 0.0 0.0 +de 06_coal 1 3 2030 0.0 0.0 0.0 +de 07_gas 1 3 2030 0.0 0.0 0.0 +de 08_non-res 1 3 2030 0.0 0.0 0.0 +de 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2030 0.0 0.0 0.0 +de 04_res 1 16 2030 0.0 0.0 0.0 +de 05_nuclear 1 16 2030 0.0 0.0 0.0 +de 06_coal 1 16 2030 0.0 0.0 0.0 +de 07_gas 1 16 2030 0.0 0.0 0.0 +de 08_non-res 1 16 2030 0.0 0.0 0.0 +de 09_hydro_pump 1 16 2030 0.0 0.0 0.0 +de 01_solar 1 17 2030 1600.0 1.0 0.0 +de 02_wind_on 1 17 2030 0.0 0.0 0.0 +de 03_wind_off 1 17 2030 0.0 0.0 0.0 +de 04_res 1 17 2030 0.0 0.0 0.0 +de 05_nuclear 1 17 2030 0.0 0.0 0.0 +de 06_coal 1 17 2030 0.0 0.0 0.0 +de 07_gas 1 17 2030 0.0 0.0 0.0 +de 08_non-res 1 17 2030 0.0 0.0 0.0 +de 09_hydro_pump 1 17 2030 0.0 0.0 0.0 +de 01_solar 1 18 2030 1700.0 1.0 0.0 +de 02_wind_on 1 18 2030 0.0 0.0 0.0 +de 03_wind_off 1 18 2030 0.0 0.0 0.0 +de 04_res 1 18 2030 0.0 0.0 0.0 +de 05_nuclear 1 18 2030 0.0 0.0 0.0 +de 06_coal 1 18 2030 0.0 0.0 0.0 +de 07_gas 1 18 2030 0.0 0.0 0.0 +de 08_non-res 1 18 2030 0.0 0.0 0.0 +de 09_hydro_pump 1 18 2030 0.0 0.0 0.0 +de 01_solar 1 19 2030 1800.0 1.0 0.0 +de 02_wind_on 1 19 2030 0.0 0.0 0.0 +de 03_wind_off 1 19 2030 0.0 0.0 0.0 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2030 0.0 0.0 0.0 +de 05_nuclear 1 22 2030 0.0 0.0 0.0 +de 06_coal 1 22 2030 0.0 0.0 0.0 +de 07_gas 1 22 2030 0.0 0.0 0.0 +de 08_non-res 1 22 2030 0.0 0.0 0.0 +de 09_hydro_pump 1 22 2030 0.0 0.0 0.0 +de 01_solar 1 23 2030 2000.0 1.0 0.0 +de 02_wind_on 1 23 2030 200.0 1.0 0.0 +de 03_wind_off 1 23 2030 0.0 0.0 0.0 +de 04_res 1 23 2030 0.0 0.0 0.0 +de 05_nuclear 1 23 2030 0.0 0.0 0.0 +de 06_coal 1 23 2030 0.0 0.0 0.0 +de 07_gas 1 23 2030 0.0 0.0 0.0 +de 08_non-res 1 23 2030 0.0 0.0 0.0 +de 09_hydro_pump 1 23 2030 0.0 0.0 0.0 +de 01_solar 1 24 2030 2000.0 1.0 0.0 +de 02_wind_on 1 24 2030 300.0 1.0 0.0 +de 03_wind_off 1 24 2030 0.0 0.0 0.0 +de 04_res 1 24 2030 0.0 0.0 0.0 +de 05_nuclear 1 24 2030 0.0 0.0 0.0 +de 06_coal 1 24 2030 0.0 0.0 0.0 +de 07_gas 1 24 2030 0.0 0.0 0.0 +de 08_non-res 1 24 2030 0.0 0.0 0.0 +de 09_hydro_pump 1 24 2030 0.0 0.0 0.0 +de 01_solar 1 25 2030 2000.0 1.0 0.0 +de 02_wind_on 1 25 2030 400.0 1.0 0.0 +de 03_wind_off 1 25 2030 0.0 0.0 0.0 +de 04_res 1 25 2030 0.0 0.0 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2030 0.0 0.0 0.0 +it 09_hydro_pump 1 308 2030 0.0 0.0 0.0 +it 01_solar 1 309 2030 2000.0 1.0 0.0 +it 02_wind_on 1 309 2030 2000.0 1.0 0.0 +it 03_wind_off 1 309 2030 2000.0 1.0 0.0 +it 04_res 1 309 2030 2000.0 1.0 0.0 +it 05_nuclear 1 309 2030 2000.0 1.0 0.0 +it 06_coal 1 309 2030 2000.0 1.0 0.0 +it 07_gas 1 309 2030 2000.0 1.0 0.0 +it 08_non-res 1 309 2030 0.0 0.0 0.0 +it 09_hydro_pump 1 309 2030 0.0 0.0 0.0 +it 01_solar 1 310 2030 2000.0 1.0 0.0 +it 02_wind_on 1 310 2030 2000.0 1.0 0.0 +it 03_wind_off 1 310 2030 2000.0 1.0 0.0 +it 04_res 1 310 2030 2000.0 1.0 0.0 +it 05_nuclear 1 310 2030 2000.0 1.0 0.0 +it 06_coal 1 310 2030 2000.0 1.0 0.0 +it 07_gas 1 310 2030 2000.0 1.0 0.0 +it 08_non-res 1 310 2030 100.0 1.0 0.0 +it 09_hydro_pump 1 310 2030 0.0 0.0 0.0 +it 01_solar 1 311 2030 2000.0 1.0 0.0 +it 02_wind_on 1 311 2030 2000.0 1.0 0.0 +it 03_wind_off 1 311 2030 2000.0 1.0 0.0 +it 04_res 1 311 2030 2000.0 1.0 0.0 +it 05_nuclear 1 311 2030 2000.0 1.0 0.0 +it 06_coal 1 311 2030 2000.0 1.0 0.0 +it 07_gas 1 311 2030 2000.0 1.0 0.0 +it 08_non-res 1 311 2030 200.0 1.0 0.0 +it 09_hydro_pump 1 311 2030 0.0 0.0 0.0 +it 01_solar 1 312 2030 2000.0 1.0 0.0 +it 02_wind_on 1 312 2030 2000.0 1.0 0.0 +it 03_wind_off 1 312 2030 2000.0 1.0 0.0 +it 04_res 1 312 2030 2000.0 1.0 0.0 +it 05_nuclear 1 312 2030 2000.0 1.0 0.0 +it 06_coal 1 312 2030 2000.0 1.0 0.0 +it 07_gas 1 312 2030 2000.0 1.0 0.0 +it 08_non-res 1 312 2030 300.0 1.0 0.0 +it 09_hydro_pump 1 312 2030 0.0 0.0 0.0 +it 01_solar 1 313 2030 2000.0 1.0 0.0 +it 02_wind_on 1 313 2030 2000.0 1.0 0.0 +it 03_wind_off 1 313 2030 2000.0 1.0 0.0 +it 04_res 1 313 2030 2000.0 1.0 0.0 +it 05_nuclear 1 313 2030 2000.0 1.0 0.0 +it 06_coal 1 313 2030 2000.0 1.0 0.0 +it 07_gas 1 313 2030 2000.0 1.0 0.0 +it 08_non-res 1 313 2030 400.0 1.0 0.0 +it 09_hydro_pump 1 313 2030 0.0 0.0 0.0 +it 01_solar 1 314 2030 2000.0 1.0 0.0 +it 02_wind_on 1 314 2030 2000.0 1.0 0.0 +it 03_wind_off 1 314 2030 2000.0 1.0 0.0 +it 04_res 1 314 2030 2000.0 1.0 0.0 +it 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1.0 0.0 +it 09_hydro_pump 1 322 2030 0.0 0.0 0.0 +it 01_solar 1 323 2030 2000.0 1.0 0.0 +it 02_wind_on 1 323 2030 2000.0 1.0 0.0 +it 03_wind_off 1 323 2030 2000.0 1.0 0.0 +it 04_res 1 323 2030 2000.0 1.0 0.0 +it 05_nuclear 1 323 2030 2000.0 1.0 0.0 +it 06_coal 1 323 2030 2000.0 1.0 0.0 +it 07_gas 1 323 2030 2000.0 1.0 0.0 +it 08_non-res 1 323 2030 1400.0 1.0 0.0 +it 09_hydro_pump 1 323 2030 0.0 0.0 0.0 +it 01_solar 1 324 2030 2000.0 1.0 0.0 +it 02_wind_on 1 324 2030 2000.0 1.0 0.0 +it 03_wind_off 1 324 2030 2000.0 1.0 0.0 +it 04_res 1 324 2030 2000.0 1.0 0.0 +it 05_nuclear 1 324 2030 2000.0 1.0 0.0 +it 06_coal 1 324 2030 2000.0 1.0 0.0 +it 07_gas 1 324 2030 2000.0 1.0 0.0 +it 08_non-res 1 324 2030 1500.0 1.0 0.0 +it 09_hydro_pump 1 324 2030 0.0 0.0 0.0 +it 01_solar 1 325 2030 2000.0 1.0 0.0 +it 02_wind_on 1 325 2030 2000.0 1.0 0.0 +it 03_wind_off 1 325 2030 2000.0 1.0 0.0 +it 04_res 1 325 2030 2000.0 1.0 0.0 +it 05_nuclear 1 325 2030 2000.0 1.0 0.0 +it 06_coal 1 325 2030 2000.0 1.0 0.0 +it 07_gas 1 325 2030 2000.0 1.0 0.0 +it 08_non-res 1 325 2030 1600.0 1.0 0.0 +it 09_hydro_pump 1 325 2030 0.0 0.0 0.0 +it 01_solar 1 326 2030 2000.0 1.0 0.0 +it 02_wind_on 1 326 2030 2000.0 1.0 0.0 +it 03_wind_off 1 326 2030 2000.0 1.0 0.0 +it 04_res 1 326 2030 2000.0 1.0 0.0 +it 05_nuclear 1 326 2030 2000.0 1.0 0.0 +it 06_coal 1 326 2030 2000.0 1.0 0.0 +it 07_gas 1 326 2030 2000.0 1.0 0.0 +it 08_non-res 1 326 2030 1700.0 1.0 0.0 +it 09_hydro_pump 1 326 2030 0.0 0.0 0.0 +it 01_solar 1 327 2030 2000.0 1.0 0.0 +it 02_wind_on 1 327 2030 2000.0 1.0 0.0 +it 03_wind_off 1 327 2030 2000.0 1.0 0.0 +it 04_res 1 327 2030 2000.0 1.0 0.0 +it 05_nuclear 1 327 2030 2000.0 1.0 0.0 +it 06_coal 1 327 2030 2000.0 1.0 0.0 +it 07_gas 1 327 2030 2000.0 1.0 0.0 +it 08_non-res 1 327 2030 1800.0 1.0 0.0 +it 09_hydro_pump 1 327 2030 0.0 0.0 0.0 +it 01_solar 1 328 2030 2000.0 1.0 0.0 +it 02_wind_on 1 328 2030 2000.0 1.0 0.0 +it 03_wind_off 1 328 2030 2000.0 1.0 0.0 +it 04_res 1 328 2030 2000.0 1.0 0.0 +it 05_nuclear 1 328 2030 2000.0 1.0 0.0 +it 06_coal 1 328 2030 2000.0 1.0 0.0 +it 07_gas 1 328 2030 2000.0 1.0 0.0 +it 08_non-res 1 328 2030 1900.0 1.0 0.0 +it 09_hydro_pump 1 328 2030 0.0 0.0 0.0 +it 01_solar 1 329 2030 2000.0 1.0 0.0 +it 02_wind_on 1 329 2030 2000.0 1.0 0.0 +it 03_wind_off 1 329 2030 2000.0 1.0 0.0 +it 04_res 1 329 2030 2000.0 1.0 0.0 +it 05_nuclear 1 329 2030 2000.0 1.0 0.0 +it 06_coal 1 329 2030 2000.0 1.0 0.0 +it 07_gas 1 329 2030 2000.0 1.0 0.0 +it 08_non-res 1 329 2030 2000.0 1.0 0.0 +it 09_hydro_pump 1 329 2030 0.0 0.0 0.0 +it 01_solar 1 330 2030 2000.0 1.0 0.0 +it 02_wind_on 1 330 2030 2000.0 1.0 0.0 +it 03_wind_off 1 330 2030 2000.0 1.0 0.0 +it 04_res 1 330 2030 2000.0 1.0 0.0 +it 05_nuclear 1 330 2030 2000.0 1.0 0.0 +it 06_coal 1 330 2030 2000.0 1.0 0.0 +it 07_gas 1 330 2030 2000.0 1.0 0.0 +it 08_non-res 1 330 2030 2000.0 1.0 0.0 +it 09_hydro_pump 1 330 2030 100.0 1.0 0.0 +it 01_solar 1 331 2030 2000.0 1.0 0.0 +it 02_wind_on 1 331 2030 2000.0 1.0 0.0 +it 03_wind_off 1 331 2030 2000.0 1.0 0.0 +it 04_res 1 331 2030 2000.0 1.0 0.0 +it 05_nuclear 1 331 2030 2000.0 1.0 0.0 +it 06_coal 1 331 2030 2000.0 1.0 0.0 +it 07_gas 1 331 2030 2000.0 1.0 0.0 +it 08_non-res 1 331 2030 2000.0 1.0 0.0 +it 09_hydro_pump 1 331 2030 200.0 1.0 0.0 +it 01_solar 1 332 2030 2000.0 1.0 0.0 +it 02_wind_on 1 332 2030 2000.0 1.0 0.0 +it 03_wind_off 1 332 2030 2000.0 1.0 0.0 +it 04_res 1 332 2030 2000.0 1.0 0.0 +it 05_nuclear 1 332 2030 2000.0 1.0 0.0 +it 06_coal 1 332 2030 2000.0 1.0 0.0 +it 07_gas 1 332 2030 2000.0 1.0 0.0 +it 08_non-res 1 332 2030 2000.0 1.0 0.0 +it 09_hydro_pump 1 332 2030 300.0 1.0 0.0 +it 01_solar 1 333 2030 2000.0 1.0 0.0 +it 02_wind_on 1 333 2030 2000.0 1.0 0.0 +it 03_wind_off 1 333 2030 2000.0 1.0 0.0 +it 04_res 1 333 2030 2000.0 1.0 0.0 +it 05_nuclear 1 333 2030 2000.0 1.0 0.0 +it 06_coal 1 333 2030 2000.0 1.0 0.0 +it 07_gas 1 333 2030 2000.0 1.0 0.0 +it 08_non-res 1 333 2030 2000.0 1.0 0.0 +it 09_hydro_pump 1 333 2030 400.0 1.0 0.0 +it 01_solar 1 334 2030 2000.0 1.0 0.0 +it 02_wind_on 1 334 2030 2000.0 1.0 0.0 +it 03_wind_off 1 334 2030 2000.0 1.0 0.0 +it 04_res 1 334 2030 2000.0 1.0 0.0 +it 05_nuclear 1 334 2030 2000.0 1.0 0.0 +it 06_coal 1 334 2030 2000.0 1.0 0.0 +it 07_gas 1 334 2030 2000.0 1.0 0.0 +it 08_non-res 1 334 2030 2000.0 1.0 0.0 +it 09_hydro_pump 1 334 2030 500.0 1.0 0.0 +it 01_solar 1 335 2030 2000.0 1.0 0.0 +it 02_wind_on 1 335 2030 2000.0 1.0 0.0 +it 03_wind_off 1 335 2030 2000.0 1.0 0.0 +it 04_res 1 335 2030 2000.0 1.0 0.0 +it 05_nuclear 1 335 2030 2000.0 1.0 0.0 +it 06_coal 1 335 2030 2000.0 1.0 0.0 +it 07_gas 1 335 2030 2000.0 1.0 0.0 +it 08_non-res 1 335 2030 2000.0 1.0 0.0 +it 09_hydro_pump 1 335 2030 600.0 1.0 0.0 +it 01_solar 1 336 2030 2000.0 1.0 0.0 +it 02_wind_on 1 336 2030 2000.0 1.0 0.0 +it 03_wind_off 1 336 2030 2000.0 1.0 0.0 +it 04_res 1 336 2030 2000.0 1.0 0.0 +it 05_nuclear 1 336 2030 2000.0 1.0 0.0 +it 06_coal 1 336 2030 2000.0 1.0 0.0 +it 07_gas 1 336 2030 2000.0 1.0 0.0 +it 08_non-res 1 336 2030 2000.0 1.0 0.0 +it 09_hydro_pump 1 336 2030 700.0 1.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-03-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-03-all.result.tsv index aa8fe85002..4d0e4d75b0 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-03-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-03-all.result.tsv @@ -1,15 +1,15 @@ -area timeId time OP. COST OP. COST.1 OP. COST.2 OP. COST.3 OP. COST.4 OP. COST.5 OP. COST.6 OP. COST.7 OP. COST.8 OP. COST.9 OP. COST.10 OP. COST.11 OP. COST.12 OP. COST.13 OP. COST.14 OP. COST.15 MRG. PRICE MRG. PRICE.1 MRG. PRICE.2 MRG. PRICE.3 MRG. PRICE.4 MRG. PRICE.5 MRG. PRICE.6 MRG. PRICE.7 MRG. PRICE.8 MRG. PRICE.9 MRG. PRICE.10 MRG. PRICE.11 MRG. PRICE.12 MRG. PRICE.13 MRG. PRICE.14 MRG. PRICE.15 -de 1 2030 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 11.66 0.0 11.66 11.66 11.66 0.0 11.66 11.66 11.66 0.0 11.66 11.66 -de 2 2030 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 23.33 0.0 23.33 23.33 23.33 0.0 23.33 23.33 23.33 0.0 23.33 23.33 -de 3 2030 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 35.0 0.0 35.0 35.0 35.0 0.0 35.0 35.0 35.0 0.0 35.0 35.0 -de 4 2030 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 46.67 0.0 46.67 46.67 46.67 0.0 46.67 46.67 46.67 0.0 46.67 46.67 -de 5 2030 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 58.33 0.0 58.33 58.33 58.33 0.0 58.33 58.33 58.33 0.0 58.33 58.33 -de 6 2030 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 71.67 0.0 71.67 71.67 71.67 0.0 71.67 71.67 71.67 0.0 71.67 71.67 -de 7 2030 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 83.33 0.0 83.33 83.33 83.33 0.0 83.33 83.33 83.33 0.0 83.33 83.33 -es 1 2030 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 11.66 0.0 11.66 11.66 11.66 0.0 11.66 11.66 11.66 0.0 11.66 11.66 -es 2 2030 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 23.33 0.0 23.33 23.33 23.33 0.0 23.33 23.33 23.33 0.0 23.33 23.33 -es 3 2030 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 35.0 0.0 35.0 35.0 35.0 0.0 35.0 35.0 35.0 0.0 35.0 35.0 -es 4 2030 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 46.67 0.0 46.67 46.67 46.67 0.0 46.67 46.67 46.67 0.0 46.67 46.67 -es 5 2030 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 58.33 0.0 58.33 58.33 58.33 0.0 58.33 58.33 58.33 0.0 58.33 58.33 -es 6 2030 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 71.67 0.0 71.67 71.67 71.67 0.0 71.67 71.67 71.67 0.0 71.67 71.67 -es 7 2030 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 83.33 0.0 83.33 83.33 83.33 0.0 83.33 83.33 83.33 0.0 83.33 83.33 +area timeId time OP. COST EXP OP. COST STD OP. COST MIN OP. COST MAX MRG. PRICE EXP MRG. PRICE STD MRG. PRICE MIN MRG. PRICE MAX +de 1 2030 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 +de 2 2030 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 +de 3 2030 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 +de 4 2030 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 +de 5 2030 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 +de 6 2030 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 +de 7 2030 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 +es 1 2030 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 +es 2 2030 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 +es 3 2030 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 +es 4 2030 5256000.0 0.0 5256000.0 5256000.0 46.67 0.0 46.67 46.67 +es 5 2030 8290000.0 0.0 8290000.0 8290000.0 58.33 0.0 58.33 58.33 +es 6 2030 12018000.0 0.0 12018000.0 12018000.0 71.67 0.0 71.67 71.67 +es 7 2030 16444000.0 0.0 16444000.0 16444000.0 83.33 0.0 83.33 83.33 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-04-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-04-all.result.tsv index 9c92ef96e8..5232984b37 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-04-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-04-all.result.tsv @@ -1,4 +1,4 @@ -area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 MRG. PRICE MRG. PRICE.1 MRG. PRICE.2 MRG. PRICE.3 CO2 EMIS. BALANCE BALANCE.1 BALANCE.2 BALANCE.3 ROW BAL. PSP MISC. NDG LOAD LOAD.1 LOAD.2 LOAD.3 H. ROR H. ROR.1 H. ROR.2 H. ROR.3 WIND WIND.1 WIND.2 WIND.3 SOLAR SOLAR.1 SOLAR.2 SOLAR.3 NUCLEAR NUCLEAR.1 NUCLEAR.2 NUCLEAR.3 LIGNITE LIGNITE.1 LIGNITE.2 LIGNITE.3 COAL COAL.1 COAL.2 COAL.3 GAS GAS.1 GAS.2 GAS.3 OIL OIL.1 OIL.2 OIL.3 MIX. FUEL MIX. FUEL.1 MIX. FUEL.2 MIX. FUEL.3 MISC. DTG MISC. DTG.1 MISC. DTG.2 MISC. DTG.3 H. STOR H. STOR.1 H. STOR.2 H. STOR.3 H. PUMP H. PUMP.1 H. PUMP.2 H. PUMP.3 H. LEV H. LEV.1 H. LEV.2 H. LEV.3 H. INFL H. INFL.1 H. INFL.2 H. INFL.3 H. OVFL H. OVFL.1 H. OVFL.2 H. OVFL.3 H. VAL H. VAL.1 H. VAL.2 H. VAL.3 H. COST H. COST.1 H. COST.2 H. COST.3 UNSP. ENRG UNSP. ENRG.1 UNSP. ENRG.2 UNSP. ENRG.3 SPIL. ENRG SPIL. ENRG.1 SPIL. ENRG.2 SPIL. ENRG.3 LOLD LOLD.1 LOLD.2 LOLD.3 LOLP AVL DTG AVL DTG.1 AVL DTG.2 AVL DTG.3 DTG MRG DTG MRG.1 DTG MRG.2 DTG MRG.3 MAX MRG MAX MRG.1 MAX MRG.2 MAX MRG.3 NP COST NP COST.1 NP COST.2 NP COST.3 NODU NODU.1 NODU.2 NODU.3 +area timeId time OV. COST EXP OP. COST EXP OP. COST STD OP. COST MIN OP. COST MAX MRG. PRICE EXP MRG. PRICE STD MRG. PRICE MIN MRG. PRICE MAX CO2 EMIS. EXP BALANCE EXP BALANCE STD BALANCE MIN BALANCE MAX ROW BAL. VALUES PSP EXP MISC. NDG EXP LOAD EXP LOAD STD LOAD MIN LOAD MAX H. ROR EXP H. ROR STD H. ROR MIN H. ROR MAX WIND EXP WIND STD WIND MIN WIND MAX SOLAR EXP SOLAR STD SOLAR MIN SOLAR MAX NUCLEAR EXP NUCLEAR STD NUCLEAR MIN NUCLEAR MAX LIGNITE EXP LIGNITE STD LIGNITE MIN LIGNITE MAX COAL EXP COAL STD COAL MIN COAL MAX GAS EXP GAS STD GAS MIN GAS MAX OIL EXP OIL STD OIL MIN OIL MAX MIX. FUEL EXP MIX. FUEL STD MIX. FUEL MIN MIX. FUEL MAX MISC. DTG EXP MISC. DTG STD MISC. DTG MIN MISC. DTG MAX H. STOR EXP H. STOR STD H. STOR MIN H. STOR MAX H. PUMP EXP H. PUMP STD H. PUMP MIN H. PUMP MAX H. LEV EXP H. LEV STD H. LEV MIN H. LEV MAX H. INFL EXP H. INFL STD H. INFL MIN H. INFL MAX H. OVFL EXP H. OVFL STD H. OVFL MIN H. OVFL MAX H. VAL EXP H. VAL STD H. VAL MIN H. VAL MAX H. COST EXP H. COST STD H. COST MIN H. COST MAX UNSP. ENRG EXP UNSP. ENRG STD UNSP. ENRG MIN UNSP. ENRG MAX SPIL. ENRG EXP SPIL. ENRG STD SPIL. ENRG MIN SPIL. ENRG MAX LOLD EXP LOLD STD LOLD MIN LOLD MAX LOLP VALUES AVL DTG EXP AVL DTG STD AVL DTG MIN AVL DTG MAX DTG MRG EXP DTG MRG STD DTG MRG MIN DTG MRG MAX MAX MRG EXP MAX MRG STD MAX MRG MIN MAX MRG MAX NP COST EXP NP COST STD NP COST MIN NP COST MAX NODU EXP NODU STD NODU MIN NODU MAX de 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 11.66 0.0 11.66 11.66 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27600.0 0.0 27600.0 27600.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 404400.0 0.0 404400.0 404400.0 404400.0 0.0 404400.0 404400.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 de 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 23.33 0.0 23.33 23.33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 85200.0 0.0 85200.0 85200.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 346800.0 0.0 346800.0 346800.0 346800.0 0.0 346800.0 346800.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 de 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 35.0 0.0 35.0 35.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 142800.0 0.0 142800.0 142800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 432000.0 0.0 432000.0 432000.0 289200.0 0.0 289200.0 289200.0 289200.0 0.0 289200.0 289200.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-05-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-05-all.result.tsv index 518b2487ef..c4361bb160 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-05-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-05-all.result.tsv @@ -1,3 +1,3 @@ -area timeId time OV. COST OP. COST OP. COST.1 OP. COST.2 OP. COST.3 MRG. PRICE MRG. PRICE.1 MRG. PRICE.2 MRG. PRICE.3 CO2 EMIS. BALANCE BALANCE.1 BALANCE.2 BALANCE.3 ROW BAL. PSP MISC. NDG LOAD LOAD.1 LOAD.2 LOAD.3 H. ROR H. ROR.1 H. ROR.2 H. ROR.3 WIND WIND.1 WIND.2 WIND.3 SOLAR SOLAR.1 SOLAR.2 SOLAR.3 NUCLEAR NUCLEAR.1 NUCLEAR.2 NUCLEAR.3 LIGNITE LIGNITE.1 LIGNITE.2 LIGNITE.3 COAL COAL.1 COAL.2 COAL.3 GAS GAS.1 GAS.2 GAS.3 OIL OIL.1 OIL.2 OIL.3 MIX. FUEL MIX. FUEL.1 MIX. FUEL.2 MIX. FUEL.3 MISC. DTG MISC. DTG.1 MISC. DTG.2 MISC. DTG.3 H. STOR H. STOR.1 H. STOR.2 H. STOR.3 H. PUMP H. PUMP.1 H. PUMP.2 H. PUMP.3 H. LEV H. LEV.1 H. LEV.2 H. LEV.3 H. INFL H. INFL.1 H. INFL.2 H. INFL.3 H. OVFL H. OVFL.1 H. OVFL.2 H. OVFL.3 H. VAL H. VAL.1 H. VAL.2 H. VAL.3 H. COST H. COST.1 H. COST.2 H. COST.3 UNSP. ENRG UNSP. ENRG.1 UNSP. ENRG.2 UNSP. ENRG.3 SPIL. ENRG SPIL. ENRG.1 SPIL. ENRG.2 SPIL. ENRG.3 LOLD LOLD.1 LOLD.2 LOLD.3 LOLP AVL DTG AVL DTG.1 AVL DTG.2 AVL DTG.3 DTG MRG DTG MRG.1 DTG MRG.2 DTG MRG.3 MAX MRG MAX MRG.1 MAX MRG.2 MAX MRG.3 NP COST NP COST.1 NP COST.2 NP COST.3 NODU NODU.1 NODU.2 NODU.3 +area timeId time OV. COST EXP OP. COST EXP OP. COST STD OP. COST MIN OP. COST MAX MRG. PRICE EXP MRG. PRICE STD MRG. PRICE MIN MRG. PRICE MAX CO2 EMIS. EXP BALANCE EXP BALANCE STD BALANCE MIN BALANCE MAX ROW BAL. VALUES PSP EXP MISC. NDG EXP LOAD EXP LOAD STD LOAD MIN LOAD MAX H. ROR EXP H. ROR STD H. ROR MIN H. ROR MAX WIND EXP WIND STD WIND MIN WIND MAX SOLAR EXP SOLAR STD SOLAR MIN SOLAR MAX NUCLEAR EXP NUCLEAR STD NUCLEAR MIN NUCLEAR MAX LIGNITE EXP LIGNITE STD LIGNITE MIN LIGNITE MAX COAL EXP COAL STD COAL MIN COAL MAX GAS EXP GAS STD GAS MIN GAS MAX OIL EXP OIL STD OIL MIN OIL MAX MIX. FUEL EXP MIX. FUEL STD MIX. FUEL MIN MIX. FUEL MAX MISC. DTG EXP MISC. DTG STD MISC. DTG MIN MISC. DTG MAX H. STOR EXP H. STOR STD H. STOR MIN H. STOR MAX H. PUMP EXP H. PUMP STD H. PUMP MIN H. PUMP MAX H. LEV EXP H. LEV STD H. LEV MIN H. LEV MAX H. INFL EXP H. INFL STD H. INFL MIN H. INFL MAX H. OVFL EXP H. OVFL STD H. OVFL MIN H. OVFL MAX H. VAL EXP H. VAL STD H. VAL MIN H. VAL MAX H. COST EXP H. COST STD H. COST MIN H. COST MAX UNSP. ENRG EXP UNSP. ENRG STD UNSP. ENRG MIN UNSP. ENRG MAX SPIL. ENRG EXP SPIL. ENRG STD SPIL. ENRG MIN SPIL. ENRG MAX LOLD EXP LOLD STD LOLD MIN LOLD MAX LOLP VALUES AVL DTG EXP AVL DTG STD AVL DTG MIN AVL DTG MAX DTG MRG EXP DTG MRG STD DTG MRG MIN DTG MRG MAX MAX MRG EXP MAX MRG STD MAX MRG MIN MAX MRG MAX NP COST EXP NP COST STD NP COST MIN NP COST MAX NODU EXP NODU STD NODU MIN NODU MAX de 1 2030 46452000.0 46452000.0 0.0 46452000.0 46452000.0 47.14 0.0 47.14 47.14 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1402800.0 0.0 1402800.0 1402800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1402800.0 0.0 1402800.0 1402800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 3024000.0 0.0 3024000.0 3024000.0 1621200.0 0.0 1621200.0 1621200.0 1621200.0 0.0 1621200.0 1621200.0 0.0 0.0 0.0 0.0 783.0 0.0 783.0 783.0 es 1 2030 46452000.0 46452000.0 0.0 46452000.0 46452000.0 47.14 0.0 47.14 47.14 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1402800.0 0.0 1402800.0 1402800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1402800.0 0.0 1402800.0 1402800.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 3024000.0 0.0 3024000.0 3024000.0 1621200.0 0.0 1621200.0 1621200.0 1621200.0 0.0 1621200.0 1621200.0 0.0 0.0 0.0 0.0 783.0 0.0 783.0 783.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06-all.result.tsv index 261f5560f6..67ce2dcb67 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-06-all.result.tsv @@ -1,4 +1,4 @@ -area timeId time OP. COST EURO MIN OP. COST EURO MAX MRG. PRICE EURO MIN MRG. PRICE EURO MAX BALANCE MWH MIN BALANCE MWH MAX LOAD MWH MIN LOAD MWH MAX H. ROR MWH MIN H. ROR MWH MAX WIND MWH MIN WIND MWH MAX SOLAR MWH MIN SOLAR MWH MAX NUCLEAR MWH MIN NUCLEAR MWH MAX LIGNITE MWH MIN LIGNITE MWH MAX COAL MWH MIN COAL MWH MAX GAS MWH MIN GAS MWH MAX OIL MWH MIN OIL MWH MAX MIX. FUEL MWH MIN MIX. FUEL MWH MAX MISC. DTG MWH MIN MISC. DTG MWH MAX H. STOR MWH MIN H. STOR MWH MAX H. PUMP MWH MIN H. PUMP MWH MAX H. LEV % MIN H. LEV % MAX H. INFL MWH MIN H. INFL MWH MAX H. OVFL % MIN H. OVFL % MAX H. VAL EURO/MWH MIN H. VAL EURO/MWH MAX H. COST EURO MIN H. COST EURO MAX UNSP. ENRG MWH MIN UNSP. ENRG MWH MAX SPIL. ENRG MWH MIN SPIL. ENRG MWH MAX LOLD HOURS MIN LOLD HOURS MAX AVL DTG MWH MIN AVL DTG MWH MAX DTG MRG MWH MIN DTG MRG MWH MAX MAX MRG MWH MIN MAX MRG MWH MAX NP COST EURO MIN NP COST EURO MAX NODU MIN NODU MAX +area timeId time OP. COST MIN OP. COST MAX MRG. PRICE MIN MRG. PRICE MAX BALANCE MIN BALANCE MAX LOAD MIN LOAD MAX H. ROR MIN H. ROR MAX WIND MIN WIND MAX SOLAR MIN SOLAR MAX NUCLEAR MIN NUCLEAR MAX LIGNITE MIN LIGNITE MAX COAL MIN COAL MAX GAS MIN GAS MAX OIL MIN OIL MAX MIX. FUEL MIN MIX. FUEL MAX MISC. DTG MIN MISC. DTG MAX H. STOR MIN H. STOR MAX H. PUMP MIN H. PUMP MAX H. LEV MIN H. LEV MAX H. INFL MIN H. INFL MAX H. OVFL MIN H. OVFL MAX H. VAL MIN H. VAL MAX H. COST MIN H. COST MAX UNSP. ENRG MIN UNSP. ENRG MAX SPIL. ENRG MIN SPIL. ENRG MAX LOLD MIN LOLD MAX AVL DTG MIN AVL DTG MAX DTG MRG MIN DTG MRG MAX MAX MRG MIN MAX MRG MAX NP COST MIN NP COST MAX NODU MIN NODU MAX de 1 2030 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 de 2 2030 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 de 3 2030 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv index f9639fbce5..f658354e14 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07-all.result.tsv @@ -1,15 +1,15 @@ -area timeId time NODU NODU.1 NODU.2 NODU.3 NODU.4 NODU.5 NODU.6 NODU.7 NODU.8 NODU.9 NODU.10 NODU.11 NODU.12 NODU.13 NODU.14 NODU.15 -de 1 2030 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 -de 2 2030 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 -de 3 2030 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 -de 4 2030 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 -de 5 2030 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 -de 6 2030 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 -de 7 2030 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 -es 1 2030 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 26.0 0.0 26.0 26.0 -es 2 2030 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 55.0 0.0 55.0 55.0 -es 3 2030 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 83.0 0.0 83.0 83.0 -es 4 2030 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 111.0 0.0 111.0 111.0 -es 5 2030 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 139.0 0.0 139.0 139.0 -es 6 2030 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 170.0 0.0 170.0 170.0 -es 7 2030 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 199.0 0.0 199.0 199.0 +area timeId time OV. COST EXP OP. COST EXP OP. COST STD OP. COST MIN OP. COST MAX H. COST EXP H. COST STD H. COST MIN H. COST MAX NP COST EXP NP COST STD NP COST MIN NP COST MAX NODU EXP NODU STD NODU MIN NODU MAX +de 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 +de 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 +de 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 +de 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 +de 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 +de 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 +de 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 +es 1 2030 282000.0 282000.0 0.0 282000.0 282000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 26.0 0.0 26.0 26.0 +es 2 2030 1252000.0 1252000.0 0.0 1252000.0 1252000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 55.0 0.0 55.0 55.0 +es 3 2030 2910000.0 2910000.0 0.0 2910000.0 2910000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 83.0 0.0 83.0 83.0 +es 4 2030 5256000.0 5256000.0 0.0 5256000.0 5256000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 111.0 0.0 111.0 111.0 +es 5 2030 8290000.0 8290000.0 0.0 8290000.0 8290000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 139.0 0.0 139.0 139.0 +es 6 2030 12018000.0 12018000.0 0.0 12018000.0 12018000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 170.0 0.0 170.0 170.0 +es 7 2030 16444000.0 16444000.0 0.0 16444000.0 16444000.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 199.0 0.0 199.0 199.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07.result.tsv index 20736686c0..0b3974c655 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-07.result.tsv @@ -1,2689 +1,24193 @@ -area mcYear timeId time 01_SOLAR NP COST - EURO 02_WIND_ON NP COST - EURO 03_WIND_OFF NP COST - EURO 04_RES NP COST - EURO 05_NUCLEAR NP COST - EURO 06_COAL NP COST - EURO 07_GAS NP COST - EURO 08_NON-RES NP COST - EURO 09_HYDRO_PUMP NP COST - EURO 01_SOLAR NODU 02_WIND_ON NODU 03_WIND_OFF NODU 04_RES NODU 05_NUCLEAR NODU 06_COAL NODU 07_GAS NODU 08_NON-RES NODU 09_HYDRO_PUMP NODU -de 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 1 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 1 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 196 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 197 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 198 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 199 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 200 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 201 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 202 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 203 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 204 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 205 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 206 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 207 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 208 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 209 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 210 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 211 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 212 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 213 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 214 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 215 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 216 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 217 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 218 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 219 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 220 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 221 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 222 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 223 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 224 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 225 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 1 226 2030 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 273 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 274 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 275 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 276 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 277 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 278 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 279 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 280 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 281 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 282 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 283 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 284 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 285 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 286 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 287 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 288 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 289 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 1 290 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 291 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 292 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 293 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 294 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 295 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 296 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 297 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 298 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 299 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 300 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 301 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 302 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 303 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 304 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 305 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 306 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 307 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 308 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 309 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 1 310 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 311 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 312 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 313 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 314 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 315 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 316 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 317 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 318 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 319 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 320 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 321 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 322 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 323 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 324 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 325 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 326 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 327 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 328 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 329 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 1 330 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 331 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 332 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 333 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 334 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 335 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 1 336 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 1 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 1 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 260 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 261 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 262 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 263 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 264 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 265 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 266 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 267 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 268 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 269 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 1 270 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 271 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 272 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 273 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 274 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 275 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 276 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 277 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 278 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 279 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 280 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 281 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 282 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 283 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 284 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 285 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 286 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 287 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 288 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 289 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 1 290 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 291 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 292 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 293 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 294 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 295 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 296 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 297 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 298 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 299 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 300 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 301 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 302 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 303 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 304 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 305 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 306 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 307 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 308 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 309 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 1 310 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 311 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 312 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 313 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 314 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 315 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 316 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 317 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 318 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 319 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 320 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 321 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 322 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 323 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 324 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 325 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 326 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 327 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 328 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 329 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 1 330 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 331 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 332 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 333 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 334 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 335 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 1 336 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 196 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 197 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 198 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 199 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 200 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 201 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 202 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 203 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 204 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 205 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 206 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 207 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 208 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 209 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 210 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 211 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 212 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 213 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 214 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 215 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 216 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 217 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 218 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 219 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 220 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 221 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 222 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 223 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 224 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 225 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 226 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 227 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 228 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 229 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 1 230 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 231 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 232 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 233 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 234 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 235 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 236 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 237 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 238 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 239 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 240 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 241 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 242 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 243 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 244 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 245 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 246 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 247 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 248 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 249 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 1 250 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 251 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 252 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 253 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 254 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 255 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 256 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 257 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 258 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 259 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 260 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 261 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 262 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 263 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 264 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 265 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 266 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 267 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 268 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 269 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 1 270 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 271 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 272 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 273 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 274 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 275 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 276 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 277 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 278 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 279 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 280 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 281 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 282 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 283 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 284 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 285 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 286 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 287 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 288 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 289 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 1 290 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 291 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 292 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 293 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 294 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 295 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 296 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 297 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 298 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 299 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 300 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 301 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 302 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 303 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 304 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 305 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 306 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 307 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 308 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 309 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 1 310 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 311 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 312 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 313 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 314 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 315 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 316 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 317 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 318 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 319 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 320 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 321 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 322 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 323 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 324 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 325 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 326 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 327 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 328 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 329 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 1 330 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 331 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 332 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 333 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 334 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 335 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 1 336 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -it 1 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -it 1 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 2 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 2 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 2 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 2 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 2 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 2 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -de 2 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 196 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 197 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 198 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 199 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 200 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 201 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 202 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 203 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 204 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 205 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 206 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 207 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 208 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 209 2030 0.0 0.0 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0.0 0.0 0.0 0.0 0.0 -de 2 221 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 222 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 223 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 224 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 225 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 226 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 227 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 228 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 229 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -de 2 230 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 231 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 232 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 233 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 234 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 235 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 236 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 237 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 238 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 239 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 240 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 241 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 242 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 243 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 244 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 245 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 246 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 247 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 248 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 249 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -de 2 250 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 251 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 252 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 253 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 254 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 255 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 256 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 257 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 258 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 259 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 260 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 261 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 262 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 263 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 264 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 265 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 266 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 267 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 268 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 269 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -de 2 270 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 271 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 272 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 273 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 274 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 275 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 276 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 277 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 278 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 279 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 280 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 281 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 282 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 283 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 284 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 285 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 286 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 287 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 288 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 289 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -de 2 290 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 291 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 292 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 293 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 294 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 295 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 296 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 297 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 298 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 299 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 300 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 301 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 302 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 303 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 304 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 305 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 306 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 307 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 308 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 309 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -de 2 310 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 311 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 312 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 313 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 314 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 315 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 316 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 317 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 318 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 319 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 320 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 321 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 322 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 323 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -de 2 324 2030 0.0 0.0 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1.0 1.0 1.0 1.0 1.0 -de 2 336 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -es 2 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -es 2 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -es 2 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -es 2 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -es 2 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 196 2030 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 -es 2 208 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 209 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 210 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 211 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 212 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 213 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 214 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 215 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 216 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 217 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 218 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -es 2 219 2030 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 335 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -es 2 336 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 2 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 3 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 4 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 5 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 6 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 7 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 8 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 9 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 10 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 11 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 12 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 13 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 14 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 15 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 16 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 17 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 18 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 19 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 20 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 21 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 22 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 23 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 24 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 25 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 26 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 27 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 28 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 29 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 30 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 31 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 32 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 33 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 34 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 35 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 36 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 37 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 38 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 39 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 40 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 41 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 42 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 43 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 44 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 45 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 46 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 47 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 48 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 49 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 50 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 51 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 52 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 53 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 54 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 55 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 56 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 57 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 58 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 59 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 60 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 61 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 62 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 63 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 64 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 65 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 66 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 67 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 68 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 69 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 70 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 71 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 72 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 73 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 74 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 75 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 76 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 77 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 78 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 79 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 80 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 81 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 82 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 83 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 84 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 85 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 86 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 87 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 88 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 89 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 90 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 91 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 92 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 93 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 94 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 95 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 96 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 97 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 98 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 99 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 100 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 101 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 102 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 103 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 104 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 105 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 106 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 107 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 108 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 109 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 110 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 111 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 112 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 113 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 114 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 115 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 116 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 117 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 118 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 119 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 120 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 121 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 122 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 123 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 124 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 125 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 126 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 127 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 128 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 129 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 130 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 131 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 132 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 133 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 134 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 135 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 136 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 137 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 138 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 139 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 140 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 141 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 142 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 143 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 144 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 145 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 146 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 147 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 148 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 149 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 150 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 151 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 152 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 153 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 154 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 155 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 156 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 157 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 158 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 159 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 160 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 161 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 162 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 163 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 164 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 165 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 166 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 167 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 168 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 169 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 170 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 171 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 172 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 173 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 174 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 175 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 176 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 177 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 178 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 179 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 180 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 181 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 182 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 183 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 184 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 185 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 186 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 187 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 188 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 189 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 190 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 191 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 192 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 193 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 194 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 195 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 196 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 197 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 198 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 199 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 200 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 201 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 202 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 203 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 204 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 205 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 206 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 207 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 208 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 209 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 210 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 211 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 212 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 213 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 214 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 215 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 216 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 217 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 218 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 219 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 220 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 221 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 222 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 223 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 224 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 225 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 226 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 227 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 228 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 229 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 -fr 2 230 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 231 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 232 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 233 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 234 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 235 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 236 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 237 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 238 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 239 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 240 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 241 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 242 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 243 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 244 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 245 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 246 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 247 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 248 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 249 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 -fr 2 250 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 251 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 252 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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2 264 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 265 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 266 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 267 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 268 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 269 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -fr 2 270 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 271 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 272 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 273 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 274 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 275 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 276 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 277 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 278 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 279 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 280 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 281 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 282 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 283 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 284 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 285 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 286 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 287 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 288 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 289 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 -fr 2 290 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 291 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 292 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 293 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 294 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 295 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 296 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 297 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 -fr 2 298 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 322 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 323 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 324 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 325 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 326 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 327 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 328 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 329 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -fr 2 330 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 331 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 2 332 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -fr 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09_hydro_pump 2 331 2030 1.0 0.0 +it 01_solar 2 332 2030 1.0 0.0 +it 02_wind_on 2 332 2030 1.0 0.0 +it 03_wind_off 2 332 2030 1.0 0.0 +it 04_res 2 332 2030 1.0 0.0 +it 05_nuclear 2 332 2030 1.0 0.0 +it 06_coal 2 332 2030 1.0 0.0 +it 07_gas 2 332 2030 1.0 0.0 +it 08_non-res 2 332 2030 1.0 0.0 +it 09_hydro_pump 2 332 2030 1.0 0.0 +it 01_solar 2 333 2030 1.0 0.0 +it 02_wind_on 2 333 2030 1.0 0.0 +it 03_wind_off 2 333 2030 1.0 0.0 +it 04_res 2 333 2030 1.0 0.0 +it 05_nuclear 2 333 2030 1.0 0.0 +it 06_coal 2 333 2030 1.0 0.0 +it 07_gas 2 333 2030 1.0 0.0 +it 08_non-res 2 333 2030 1.0 0.0 +it 09_hydro_pump 2 333 2030 1.0 0.0 +it 01_solar 2 334 2030 1.0 0.0 +it 02_wind_on 2 334 2030 1.0 0.0 +it 03_wind_off 2 334 2030 1.0 0.0 +it 04_res 2 334 2030 1.0 0.0 +it 05_nuclear 2 334 2030 1.0 0.0 +it 06_coal 2 334 2030 1.0 0.0 +it 07_gas 2 334 2030 1.0 0.0 +it 08_non-res 2 334 2030 1.0 0.0 +it 09_hydro_pump 2 334 2030 1.0 0.0 +it 01_solar 2 335 2030 1.0 0.0 +it 02_wind_on 2 335 2030 1.0 0.0 +it 03_wind_off 2 335 2030 1.0 0.0 +it 04_res 2 335 2030 1.0 0.0 +it 05_nuclear 2 335 2030 1.0 0.0 +it 06_coal 2 335 2030 1.0 0.0 +it 07_gas 2 335 2030 1.0 0.0 +it 08_non-res 2 335 2030 1.0 0.0 +it 09_hydro_pump 2 335 2030 1.0 0.0 +it 01_solar 2 336 2030 1.0 0.0 +it 02_wind_on 2 336 2030 1.0 0.0 +it 03_wind_off 2 336 2030 1.0 0.0 +it 04_res 2 336 2030 1.0 0.0 +it 05_nuclear 2 336 2030 1.0 0.0 +it 06_coal 2 336 2030 1.0 0.0 +it 07_gas 2 336 2030 1.0 0.0 +it 08_non-res 2 336 2030 1.0 0.0 +it 09_hydro_pump 2 336 2030 1.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-08-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-08-all.result.tsv index 8dc17e02a5..565b614f8e 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-08-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_areas_raw_data/test-08-all.result.tsv @@ -1,3 +1,19 @@ -area timeId time 01_SOLAR NP COST - EURO EXP 02_WIND_ON NP COST - EURO EXP 03_WIND_OFF NP COST - EURO EXP 04_RES NP COST - EURO EXP 05_NUCLEAR NP COST - EURO EXP 06_COAL NP COST - EURO EXP 07_GAS NP COST - EURO EXP 08_NON-RES NP COST - EURO EXP 09_HYDRO_PUMP NP COST - EURO EXP 01_SOLAR NODU EXP 02_WIND_ON NODU EXP 03_WIND_OFF NODU EXP 04_RES NODU EXP 05_NUCLEAR NODU EXP 06_COAL NODU EXP 07_GAS NODU EXP 08_NON-RES NODU EXP 09_HYDRO_PUMP NODU EXP -de 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 167.0 147.0 127.0 107.0 87.0 67.0 47.0 27.0 7.0 -es 1 2030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 167.0 147.0 127.0 107.0 87.0 67.0 47.0 27.0 7.0 +area cluster timeId time NODU NP Cost - Euro +de 01_solar 1 2030 167.0 0.0 +de 02_wind_on 1 2030 147.0 0.0 +de 03_wind_off 1 2030 127.0 0.0 +de 04_res 1 2030 107.0 0.0 +de 05_nuclear 1 2030 87.0 0.0 +de 06_coal 1 2030 67.0 0.0 +de 07_gas 1 2030 47.0 0.0 +de 08_non-res 1 2030 27.0 0.0 +de 09_hydro_pump 1 2030 7.0 0.0 +es 01_solar 1 2030 167.0 0.0 +es 02_wind_on 1 2030 147.0 0.0 +es 03_wind_off 1 2030 127.0 0.0 +es 04_res 1 2030 107.0 0.0 +es 05_nuclear 1 2030 87.0 0.0 +es 06_coal 1 2030 67.0 0.0 +es 07_gas 1 2030 47.0 0.0 +es 08_non-res 1 2030 27.0 0.0 +es 09_hydro_pump 1 2030 7.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-01-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-01-all.result.tsv index f171270f72..a7e863a3ee 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-01-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-01-all.result.tsv @@ -1,4 +1,4 @@ -link timeId time FLOW LIN. FLOW LIN..1 FLOW LIN..2 FLOW LIN..3 UCAP LIN. UCAP LIN..1 UCAP LIN..2 UCAP LIN..3 LOOP FLOW FLOW QUAD. CONG. FEE (ALG.) CONG. FEE (ALG.).1 CONG. FEE (ALG.).2 CONG. FEE (ALG.).3 CONG. FEE (ABS.) CONG. FEE (ABS.).1 CONG. FEE (ABS.).2 CONG. FEE (ABS.).3 MARG. COST MARG. COST.1 MARG. COST.2 MARG. COST.3 CONG. PROB + CONG. PROB - HURDLE COST HURDLE COST.1 HURDLE COST.2 HURDLE COST.3 +link timeId time FLOW LIN. EXP FLOW LIN. STD FLOW LIN. MIN FLOW LIN. MAX UCAP LIN. EXP UCAP LIN. STD UCAP LIN. MIN UCAP LIN. MAX LOOP FLOW VALUES FLOW QUAD. VALUES CONG. FEE (ALG.) EXP CONG. FEE (ALG.) STD CONG. FEE (ALG.) MIN CONG. FEE (ALG.) MAX CONG. FEE (ABS.) EXP CONG. FEE (ABS.) STD CONG. FEE (ABS.) MIN CONG. FEE (ABS.) MAX MARG. COST EXP MARG. COST STD MARG. COST MIN MARG. COST MAX CONG. PROB + VALUES CONG. PROB - VALUES HURDLE COST EXP HURDLE COST STD HURDLE COST MIN HURDLE COST MAX de - fr 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 de - fr 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 de - fr 3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-02-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-02-all.result.tsv index 92d478db52..c57daa2450 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-02-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-02-all.result.tsv @@ -1,4 +1,4 @@ -link timeId time FLOW LIN. FLOW LIN..1 FLOW LIN..2 FLOW LIN..3 UCAP LIN. UCAP LIN..1 UCAP LIN..2 UCAP LIN..3 LOOP FLOW FLOW QUAD. CONG. FEE (ALG.) CONG. FEE (ALG.).1 CONG. FEE (ALG.).2 CONG. FEE (ALG.).3 CONG. FEE (ABS.) CONG. FEE (ABS.).1 CONG. FEE (ABS.).2 CONG. FEE (ABS.).3 MARG. COST MARG. COST.1 MARG. COST.2 MARG. COST.3 CONG. PROB + CONG. PROB - HURDLE COST HURDLE COST.1 HURDLE COST.2 HURDLE COST.3 +link timeId time FLOW LIN. EXP FLOW LIN. STD FLOW LIN. MIN FLOW LIN. MAX UCAP LIN. EXP UCAP LIN. STD UCAP LIN. MIN UCAP LIN. MAX LOOP FLOW VALUES FLOW QUAD. VALUES CONG. FEE (ALG.) EXP CONG. FEE (ALG.) STD CONG. FEE (ALG.) MIN CONG. FEE (ALG.) MAX CONG. FEE (ABS.) EXP CONG. FEE (ABS.) STD CONG. FEE (ABS.) MIN CONG. FEE (ABS.) MAX MARG. COST EXP MARG. COST STD MARG. COST MIN MARG. COST MAX CONG. PROB + VALUES CONG. PROB - VALUES HURDLE COST EXP HURDLE COST STD HURDLE COST MIN HURDLE COST MAX de - fr 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 de - fr 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 de - fr 3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-03-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-03-all.result.tsv index f171270f72..a7e863a3ee 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-03-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-03-all.result.tsv @@ -1,4 +1,4 @@ -link timeId time FLOW LIN. FLOW LIN..1 FLOW LIN..2 FLOW LIN..3 UCAP LIN. UCAP LIN..1 UCAP LIN..2 UCAP LIN..3 LOOP FLOW FLOW QUAD. CONG. FEE (ALG.) CONG. FEE (ALG.).1 CONG. FEE (ALG.).2 CONG. FEE (ALG.).3 CONG. FEE (ABS.) CONG. FEE (ABS.).1 CONG. FEE (ABS.).2 CONG. FEE (ABS.).3 MARG. COST MARG. COST.1 MARG. COST.2 MARG. COST.3 CONG. PROB + CONG. PROB - HURDLE COST HURDLE COST.1 HURDLE COST.2 HURDLE COST.3 +link timeId time FLOW LIN. EXP FLOW LIN. STD FLOW LIN. MIN FLOW LIN. MAX UCAP LIN. EXP UCAP LIN. STD UCAP LIN. MIN UCAP LIN. MAX LOOP FLOW VALUES FLOW QUAD. VALUES CONG. FEE (ALG.) EXP CONG. FEE (ALG.) STD CONG. FEE (ALG.) MIN CONG. FEE (ALG.) MAX CONG. FEE (ABS.) EXP CONG. FEE (ABS.) STD CONG. FEE (ABS.) MIN CONG. FEE (ABS.) MAX MARG. COST EXP MARG. COST STD MARG. COST MIN MARG. COST MAX CONG. PROB + VALUES CONG. PROB - VALUES HURDLE COST EXP HURDLE COST STD HURDLE COST MIN HURDLE COST MAX de - fr 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 de - fr 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 de - fr 3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-04-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-04-all.result.tsv index 92d478db52..c57daa2450 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-04-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-04-all.result.tsv @@ -1,4 +1,4 @@ -link timeId time FLOW LIN. FLOW LIN..1 FLOW LIN..2 FLOW LIN..3 UCAP LIN. UCAP LIN..1 UCAP LIN..2 UCAP LIN..3 LOOP FLOW FLOW QUAD. CONG. FEE (ALG.) CONG. FEE (ALG.).1 CONG. FEE (ALG.).2 CONG. FEE (ALG.).3 CONG. FEE (ABS.) CONG. FEE (ABS.).1 CONG. FEE (ABS.).2 CONG. FEE (ABS.).3 MARG. COST MARG. COST.1 MARG. COST.2 MARG. COST.3 CONG. PROB + CONG. PROB - HURDLE COST HURDLE COST.1 HURDLE COST.2 HURDLE COST.3 +link timeId time FLOW LIN. EXP FLOW LIN. STD FLOW LIN. MIN FLOW LIN. MAX UCAP LIN. EXP UCAP LIN. STD UCAP LIN. MIN UCAP LIN. MAX LOOP FLOW VALUES FLOW QUAD. VALUES CONG. FEE (ALG.) EXP CONG. FEE (ALG.) STD CONG. FEE (ALG.) MIN CONG. FEE (ALG.) MAX CONG. FEE (ABS.) EXP CONG. FEE (ABS.) STD CONG. FEE (ABS.) MIN CONG. FEE (ABS.) MAX MARG. COST EXP MARG. COST STD MARG. COST MIN MARG. COST MAX CONG. PROB + VALUES CONG. PROB - VALUES HURDLE COST EXP HURDLE COST STD HURDLE COST MIN HURDLE COST MAX de - fr 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 de - fr 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 de - fr 3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05-all.result.tsv index 2707f1a037..504ad467d7 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-05-all.result.tsv @@ -1,4 +1,4 @@ -link timeId time FLOW LIN. MWH MIN FLOW LIN. MWH MAX UCAP LIN. MWH MIN UCAP LIN. MWH MAX CONG. FEE (ALG.) EURO MIN CONG. FEE (ALG.) EURO MAX CONG. FEE (ABS.) EURO MIN CONG. FEE (ABS.) EURO MAX MARG. COST EURO/MW MIN MARG. COST EURO/MW MAX HURDLE COST EURO MIN HURDLE COST EURO MAX +link timeId time FLOW LIN. MIN FLOW LIN. MAX UCAP LIN. MIN UCAP LIN. MAX CONG. FEE (ALG.) MIN CONG. FEE (ALG.) MAX CONG. FEE (ABS.) MIN CONG. FEE (ABS.) MAX MARG. COST MIN MARG. COST MAX HURDLE COST MIN HURDLE COST MAX de - fr 1 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 de - fr 2 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 de - fr 3 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 diff --git a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-06-all.result.tsv b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-06-all.result.tsv index 36c64d992e..e5941006e4 100644 --- a/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-06-all.result.tsv +++ b/tests/integration/raw_studies_blueprint/assets/aggregate_links_raw_data/test-06-all.result.tsv @@ -1,365 +1,365 @@ -link timeId time MARG. COST MARG. COST.1 MARG. COST.2 MARG. COST.3 MARG. COST.4 MARG. COST.5 MARG. COST.6 MARG. COST.7 MARG. COST.8 MARG. COST.9 MARG. COST.10 MARG. COST.11 MARG. COST.12 MARG. COST.13 MARG. COST.14 MARG. COST.15 CONG. PROB + -de - fr 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 10 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 11 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 12 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 13 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 14 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 15 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 16 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 17 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 18 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 19 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 20 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 21 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 22 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 23 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 24 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 25 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 26 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 27 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 28 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 29 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 30 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 31 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 32 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 33 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 34 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 35 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 36 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 37 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 38 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 39 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 40 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 41 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 42 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 43 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 44 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 45 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 46 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 47 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 48 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 49 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 50 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 51 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 52 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - 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fr 313 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 314 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 315 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 316 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 317 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 318 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 319 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 320 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 321 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 322 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 323 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 324 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 325 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 326 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 327 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 328 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 329 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 330 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 331 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 332 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 333 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 334 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 335 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 336 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 337 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 338 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 339 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 340 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 341 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 342 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 343 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 344 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 345 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 346 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 347 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 348 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 349 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 350 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 351 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 352 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 353 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 354 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 355 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 356 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 357 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 358 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 359 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 360 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 361 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 362 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 363 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -de - fr 364 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 +link timeId time MARG. COST EXP MARG. COST STD MARG. COST MIN MARG. COST MAX CONG. PROB + VALUES +de - fr 1 0.0 0.0 0.0 0.0 0.0 +de - fr 2 0.0 0.0 0.0 0.0 0.0 +de - fr 3 0.0 0.0 0.0 0.0 0.0 +de - fr 4 0.0 0.0 0.0 0.0 0.0 +de - fr 5 0.0 0.0 0.0 0.0 0.0 +de - fr 6 0.0 0.0 0.0 0.0 0.0 +de - fr 7 0.0 0.0 0.0 0.0 0.0 +de - fr 8 0.0 0.0 0.0 0.0 0.0 +de - fr 9 0.0 0.0 0.0 0.0 0.0 +de - fr 10 0.0 0.0 0.0 0.0 0.0 +de - fr 11 0.0 0.0 0.0 0.0 0.0 +de - fr 12 0.0 0.0 0.0 0.0 0.0 +de - fr 13 0.0 0.0 0.0 0.0 0.0 +de - fr 14 0.0 0.0 0.0 0.0 0.0 +de - fr 15 0.0 0.0 0.0 0.0 0.0 +de - fr 16 0.0 0.0 0.0 0.0 0.0 +de - fr 17 0.0 0.0 0.0 0.0 0.0 +de - fr 18 0.0 0.0 0.0 0.0 0.0 +de - fr 19 0.0 0.0 0.0 0.0 0.0 +de - fr 20 0.0 0.0 0.0 0.0 0.0 +de - fr 21 0.0 0.0 0.0 0.0 0.0 +de - fr 22 0.0 0.0 0.0 0.0 0.0 +de - fr 23 0.0 0.0 0.0 0.0 0.0 +de - fr 24 0.0 0.0 0.0 0.0 0.0 +de - fr 25 0.0 0.0 0.0 0.0 0.0 +de - fr 26 0.0 0.0 0.0 0.0 0.0 +de - fr 27 0.0 0.0 0.0 0.0 0.0 +de - fr 28 0.0 0.0 0.0 0.0 0.0 +de - fr 29 0.0 0.0 0.0 0.0 0.0 +de - fr 30 0.0 0.0 0.0 0.0 0.0 +de - fr 31 0.0 0.0 0.0 0.0 0.0 +de - fr 32 0.0 0.0 0.0 0.0 0.0 +de - fr 33 0.0 0.0 0.0 0.0 0.0 +de - fr 34 0.0 0.0 0.0 0.0 0.0 +de - fr 35 0.0 0.0 0.0 0.0 0.0 +de - fr 36 0.0 0.0 0.0 0.0 0.0 +de - fr 37 0.0 0.0 0.0 0.0 0.0 +de - fr 38 0.0 0.0 0.0 0.0 0.0 +de - fr 39 0.0 0.0 0.0 0.0 0.0 +de - fr 40 0.0 0.0 0.0 0.0 0.0 +de - fr 41 0.0 0.0 0.0 0.0 0.0 +de - fr 42 0.0 0.0 0.0 0.0 0.0 +de - fr 43 0.0 0.0 0.0 0.0 0.0 +de - fr 44 0.0 0.0 0.0 0.0 0.0 +de - fr 45 0.0 0.0 0.0 0.0 0.0 +de - fr 46 0.0 0.0 0.0 0.0 0.0 +de - fr 47 0.0 0.0 0.0 0.0 0.0 +de - fr 48 0.0 0.0 0.0 0.0 0.0 +de - fr 49 0.0 0.0 0.0 0.0 0.0 +de - fr 50 0.0 0.0 0.0 0.0 0.0 +de - fr 51 0.0 0.0 0.0 0.0 0.0 +de - fr 52 0.0 0.0 0.0 0.0 0.0 +de - fr 53 0.0 0.0 0.0 0.0 0.0 +de - fr 54 0.0 0.0 0.0 0.0 0.0 +de - fr 55 0.0 0.0 0.0 0.0 0.0 +de - fr 56 0.0 0.0 0.0 0.0 0.0 +de - fr 57 0.0 0.0 0.0 0.0 0.0 +de - fr 58 0.0 0.0 0.0 0.0 0.0 +de - fr 59 0.0 0.0 0.0 0.0 0.0 +de - fr 60 0.0 0.0 0.0 0.0 0.0 +de - fr 61 0.0 0.0 0.0 0.0 0.0 +de - fr 62 0.0 0.0 0.0 0.0 0.0 +de - fr 63 0.0 0.0 0.0 0.0 0.0 +de - fr 64 0.0 0.0 0.0 0.0 0.0 +de - fr 65 0.0 0.0 0.0 0.0 0.0 +de - fr 66 0.0 0.0 0.0 0.0 0.0 +de - fr 67 0.0 0.0 0.0 0.0 0.0 +de - fr 68 0.0 0.0 0.0 0.0 0.0 +de - fr 69 0.0 0.0 0.0 0.0 0.0 +de - fr 70 0.0 0.0 0.0 0.0 0.0 +de - fr 71 0.0 0.0 0.0 0.0 0.0 +de - fr 72 0.0 0.0 0.0 0.0 0.0 +de - fr 73 0.0 0.0 0.0 0.0 0.0 +de - fr 74 0.0 0.0 0.0 0.0 0.0 +de - fr 75 0.0 0.0 0.0 0.0 0.0 +de - fr 76 0.0 0.0 0.0 0.0 0.0 +de - fr 77 0.0 0.0 0.0 0.0 0.0 +de - fr 78 0.0 0.0 0.0 0.0 0.0 +de - fr 79 0.0 0.0 0.0 0.0 0.0 +de - fr 80 0.0 0.0 0.0 0.0 0.0 +de - fr 81 0.0 0.0 0.0 0.0 0.0 +de - fr 82 0.0 0.0 0.0 0.0 0.0 +de - fr 83 0.0 0.0 0.0 0.0 0.0 +de - fr 84 0.0 0.0 0.0 0.0 0.0 +de - fr 85 0.0 0.0 0.0 0.0 0.0 +de - fr 86 0.0 0.0 0.0 0.0 0.0 +de - fr 87 0.0 0.0 0.0 0.0 0.0 +de - fr 88 0.0 0.0 0.0 0.0 0.0 +de - fr 89 0.0 0.0 0.0 0.0 0.0 +de - fr 90 0.0 0.0 0.0 0.0 0.0 +de - fr 91 0.0 0.0 0.0 0.0 0.0 +de - fr 92 0.0 0.0 0.0 0.0 0.0 +de - fr 93 0.0 0.0 0.0 0.0 0.0 +de - fr 94 0.0 0.0 0.0 0.0 0.0 +de - fr 95 0.0 0.0 0.0 0.0 0.0 +de - 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fr 344 0.0 0.0 0.0 0.0 0.0 +de - fr 345 0.0 0.0 0.0 0.0 0.0 +de - fr 346 0.0 0.0 0.0 0.0 0.0 +de - fr 347 0.0 0.0 0.0 0.0 0.0 +de - fr 348 0.0 0.0 0.0 0.0 0.0 +de - fr 349 0.0 0.0 0.0 0.0 0.0 +de - fr 350 0.0 0.0 0.0 0.0 0.0 +de - fr 351 0.0 0.0 0.0 0.0 0.0 +de - fr 352 0.0 0.0 0.0 0.0 0.0 +de - fr 353 0.0 0.0 0.0 0.0 0.0 +de - fr 354 0.0 0.0 0.0 0.0 0.0 +de - fr 355 0.0 0.0 0.0 0.0 0.0 +de - fr 356 0.0 0.0 0.0 0.0 0.0 +de - fr 357 0.0 0.0 0.0 0.0 0.0 +de - fr 358 0.0 0.0 0.0 0.0 0.0 +de - fr 359 0.0 0.0 0.0 0.0 0.0 +de - fr 360 0.0 0.0 0.0 0.0 0.0 +de - fr 361 0.0 0.0 0.0 0.0 0.0 +de - fr 362 0.0 0.0 0.0 0.0 0.0 +de - fr 363 0.0 0.0 0.0 0.0 0.0 +de - fr 364 0.0 0.0 0.0 0.0 0.0 From c20b891fae03f3756455e07fbee429a366c139b8 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Tue, 20 Aug 2024 16:12:47 +0200 Subject: [PATCH 12/19] docs(aggregation-api): improve `columns_names` description, improve `Args` readability for `PyCharm` --- antarest/study/web/raw_studies_blueprint.py | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/antarest/study/web/raw_studies_blueprint.py b/antarest/study/web/raw_studies_blueprint.py index 43bedebc01..d2b82e6d96 100644 --- a/antarest/study/web/raw_studies_blueprint.py +++ b/antarest/study/web/raw_studies_blueprint.py @@ -200,13 +200,14 @@ def aggregate_areas_raw_data( Create an aggregation of areas raw data Parameters: + - `uuid`: study ID - `output_id`: the output ID aka the simulation ID - `query_file`: "values", "details", "details-STstorage", "details-res" - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `mc_years`: which Monte Carlo years to be selected. If empty, all are selected (comma separated) - `areas_ids`: which areas to be selected. If empty, all are selected (comma separated) - - `columns_names`: regexes (if details) or columns to be selected, if empty, all columns are selected + - `columns_names`: names or regexes (if `query_file` is of type `details`) to select columns (comma separated) - `export_format`: Returned file format (csv by default). Returns: @@ -268,13 +269,14 @@ def aggregate_links_raw_data( Create an aggregation of links raw data Parameters: + - `uuid`: study ID - `output_id`: the output ID aka the simulation ID - `query_file`: "values" (currently the only available option) - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `mc_years`: which Monte Carlo years to be selected. If empty, all are selected (comma separated) - `links_ids`: which links to be selected (ex: "be - fr"). If empty, all are selected (comma separated) - - `columns_names`: regexes (if details) or columns to be selected, if empty, all columns are selected + - `columns_names`: names or regexes (if `query_file` is of type `details`) to select columns (comma separated) - `export_format`: Returned file format (csv by default). Returns: @@ -336,12 +338,13 @@ def aggregate_areas_raw_data__all( Create an aggregation of areas raw data in mc-all Parameters: + - `uuid`: study ID - `output_id`: the output ID aka the simulation ID - `query_file`: "values", "details", "details-STstorage", "details-res" - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `areas_ids`: which areas to be selected. If empty, all are selected (comma separated) - - `columns_names`: regexes (if details) or columns to be selected, if empty, all columns are selected + - `columns_names`: names or regexes (if `query_file` is of type `details`) to select columns (comma separated) - `export_format`: Returned file format (csv by default). Returns: @@ -401,12 +404,13 @@ def aggregate_links_raw_data__all( Create an aggregation of links in mc-all Parameters: + - `uuid`: study ID - `output_id`: the output ID aka the simulation ID - `query_file`: "values" (currently the only available option) - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `links_ids`: which links to be selected (ex: "be - fr"). If empty, all are selected (comma separated) - - `columns_names`: regexes (if details) or columns to be selected, if empty, all columns are selected + - `columns_names`: names or regexes (if `query_file` is of type `details`) to select columns (comma separated) - `export_format`: Returned file format (csv by default). Returns: @@ -465,6 +469,7 @@ def edit_study( > NOTE: use the PUT endpoint to upload a file. Parameters: + - `uuid`: The UUID of the study. - `path`: The path to the data to update. Defaults to "/". - `data`: The formatted data to be posted. Defaults to an empty string. @@ -498,6 +503,7 @@ def replace_study_file( Update raw data for a study by posting a raw file. Parameters: + - `uuid`: The UUID of the study. - `path`: The path to the data to update. Defaults to "/". - `file`: The raw file to be posted (e.g. a CSV file opened in binary mode). @@ -561,6 +567,7 @@ def get_matrix( Download a matrix in a given format. Parameters: + - `uuid`: study ID - `matrix_path`: Relative path of the matrix to download. - `export_format`: Returned file format (csv by default). From 6190c9740fc35b86445f9bc607c974bc504008a7 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Tue, 20 Aug 2024 16:16:46 +0200 Subject: [PATCH 13/19] docs(aggregation-api): correct `query_file` description for `.../links/aggregate/mc-all` --- antarest/study/web/raw_studies_blueprint.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/antarest/study/web/raw_studies_blueprint.py b/antarest/study/web/raw_studies_blueprint.py index d2b82e6d96..c1c5435321 100644 --- a/antarest/study/web/raw_studies_blueprint.py +++ b/antarest/study/web/raw_studies_blueprint.py @@ -341,7 +341,7 @@ def aggregate_areas_raw_data__all( - `uuid`: study ID - `output_id`: the output ID aka the simulation ID - - `query_file`: "values", "details", "details-STstorage", "details-res" + - `query_file`: "values", "details", "details-STstorage", "details-res", "id" - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `areas_ids`: which areas to be selected. If empty, all are selected (comma separated) - `columns_names`: names or regexes (if `query_file` is of type `details`) to select columns (comma separated) @@ -407,7 +407,7 @@ def aggregate_links_raw_data__all( - `uuid`: study ID - `output_id`: the output ID aka the simulation ID - - `query_file`: "values" (currently the only available option) + - `query_file`: "values", "id" - `frequency`: "hourly", "daily", "weekly", "monthly", "annual" - `links_ids`: which links to be selected (ex: "be - fr"). If empty, all are selected (comma separated) - `columns_names`: names or regexes (if `query_file` is of type `details`) to select columns (comma separated) From 252ebf637793e0a67a576f2990869bfd6d5b9149 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Tue, 20 Aug 2024 16:54:59 +0200 Subject: [PATCH 14/19] feat(aggregation-api): optimize code --- .../study/business/aggregator_management.py | 46 ++++++----------- antarest/study/service.py | 51 ++++--------------- antarest/study/web/raw_studies_blueprint.py | 8 +-- 3 files changed, 29 insertions(+), 76 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index c18f5bf3ad..7c06edfda2 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -360,47 +360,33 @@ def aggregate_output_data(self) -> pd.DataFrame: Aggregates the output data of a study and returns it as a DataFrame """ - # check that the `mc_years` is Sequence[int] - assert self.mc_years is not None, "mc_years should be a `Sequence` of integers" + if self.mc_root == MCRoot.MC_IND: + # check that the `mc_years` is Sequence[int] + assert self.mc_years is not None, "mc_years should be a `Sequence` of integers" - # Checks if mc-ind results exist - if not self.mc_ind_path.exists(): - raise OutputNotFound(self.output_id) + # Checks if mc-ind results exist + if not self.mc_ind_path.exists(): + raise OutputNotFound(self.output_id) - # Retrieves the horizon from the study output - horizon_path = self.study_path / HORIZON_TEMPLATE.format(sim_id=self.output_id) - launching_config = IniReader().read(horizon_path) - horizon = launching_config.get("general", {}).get("horizon", 2018) - - # filters files to consider - all_output_files = sorted(self._gather_all_files_to_consider__ind()) - - logger.info( - f"Parsing {len(all_output_files)} {self.frequency.value} files" - f"to build the aggregated output for study `{self.study_path.name}`" - ) - # builds final dataframe - final_df = self._build_dataframe(all_output_files, horizon) + # filters files to consider + all_output_files = sorted(self._gather_all_files_to_consider__ind()) - return final_df + elif self.mc_root == MCRoot.MC_ALL: + # Checks if mc-all results exist + if not self.mc_all_path.exists(): + raise OutputNotFound(self.output_id) - def aggregate_output_data__all(self) -> pd.DataFrame: - """ - Aggregates the output data of a study and returns it as a DataFrame - """ + # filters files to consider + all_output_files = sorted(self._gather_all_files_to_consider__all()) - # Checks if mc-all results exist - if not self.mc_all_path.exists(): - raise OutputNotFound(self.output_id) + else: + raise NotImplementedError(f"Unknown Monte Carlo root: {self.mc_root}") # Retrieves the horizon from the study output horizon_path = self.study_path / HORIZON_TEMPLATE.format(sim_id=self.output_id) launching_config = IniReader().read(horizon_path) horizon = launching_config.get("general", {}).get("horizon", 2018) - # filters files to consider - all_output_files = sorted(self._gather_all_files_to_consider__all()) - logger.info( f"Parsing {len(all_output_files)} {self.frequency.value} files" f"to build the aggregated output for study `{self.study_path.name}`" diff --git a/antarest/study/service.py b/antarest/study/service.py index 106c2239af..8e4b537e19 100644 --- a/antarest/study/service.py +++ b/antarest/study/service.py @@ -378,57 +378,25 @@ def aggregate_output_data( self, uuid: str, output_id: str, - query_file: t.Union[MCIndAreasQueryFile, MCIndLinksQueryFile], + query_file: t.Union[MCIndAreasQueryFile, MCAllAreasQueryFile, MCIndLinksQueryFile, MCAllLinksQueryFile], frequency: MatrixFrequency, - mc_years: t.Sequence[int], columns_names: t.Sequence[str], ids_to_consider: t.Sequence[str], params: RequestParameters, + mc_years: t.Optional[t.Sequence[int]] = None, ) -> pd.DataFrame: """ - Aggregates output data (in `economy/mc-ind`) based on several filtering conditions - Args: - uuid: study uuid - output_id: simulation output ID - query_file: which types of data to retrieve ("values", "details", "details-st-storage", "details-res") - frequency: yearly, monthly, weekly, daily or hourly. - mc_years: list of monte-carlo years, if empty, all years are selected - columns_names: regexes (if details) or columns to be selected, if empty, all columns are selected - ids_to_consider: list of areas or links ids to consider, if empty, all areas are selected - params: request parameters - - Returns: the aggregated data as a DataFrame - - """ - study = self.get_study(uuid) - assert_permission(params.user, study, StudyPermissionType.READ) - study_path = self.storage_service.raw_study_service.get_study_path(study) - # fmt: off - aggregator_manager = AggregatorManager(study_path, output_id, query_file, frequency, ids_to_consider, - columns_names, mc_years) - # fmt: on - return aggregator_manager.aggregate_output_data() + Aggregates output data based on several filtering conditions - def aggregate_output_data__all( - self, - uuid: str, - output_id: str, - query_file: t.Union[MCAllAreasQueryFile, MCAllLinksQueryFile], - frequency: MatrixFrequency, - columns_names: t.Sequence[str], - ids_to_consider: t.Sequence[str], - params: RequestParameters, - ) -> pd.DataFrame: - """ - Aggregates output data (in `economy/mc-all`) based on several filtering conditions Args: uuid: study uuid output_id: simulation output ID - query_file: which types of data to retrieve ("values", "details", "details-st-storage", "details-res") + query_file: which types of data to retrieve: "values", "details", "details-st-storage", "details-res", "ids" frequency: yearly, monthly, weekly, daily or hourly. columns_names: regexes (if details) or columns to be selected, if empty, all columns are selected ids_to_consider: list of areas or links ids to consider, if empty, all areas are selected params: request parameters + mc_years: list of monte-carlo years, if empty, all years are selected (only for mc-ind) Returns: the aggregated data as a DataFrame @@ -436,11 +404,10 @@ def aggregate_output_data__all( study = self.get_study(uuid) assert_permission(params.user, study, StudyPermissionType.READ) study_path = self.storage_service.raw_study_service.get_study_path(study) - # fmt: off - aggregator_manager = AggregatorManager(study_path, output_id, query_file, frequency, ids_to_consider, - columns_names) - # fmt: on - return aggregator_manager.aggregate_output_data__all() + aggregator_manager = AggregatorManager( + study_path, output_id, query_file, frequency, ids_to_consider, columns_names, mc_years + ) + return aggregator_manager.aggregate_output_data() def get_logs( self, diff --git a/antarest/study/web/raw_studies_blueprint.py b/antarest/study/web/raw_studies_blueprint.py index c1c5435321..425c67e6b5 100644 --- a/antarest/study/web/raw_studies_blueprint.py +++ b/antarest/study/web/raw_studies_blueprint.py @@ -229,10 +229,10 @@ def aggregate_areas_raw_data( output_id=output_id, query_file=query_file, frequency=frequency, - mc_years=[int(mc_year) for mc_year in _split_comma_separated_values(mc_years)], columns_names=_split_comma_separated_values(columns_names), ids_to_consider=_split_comma_separated_values(areas_ids), params=parameters, + mc_years=[int(mc_year) for mc_year in _split_comma_separated_values(mc_years)], ) download_name = f"aggregated_output_{uuid}_{output_id}{export_format.suffix}" @@ -298,10 +298,10 @@ def aggregate_links_raw_data( output_id=output_id, query_file=query_file, frequency=frequency, - mc_years=[int(mc_year) for mc_year in _split_comma_separated_values(mc_years)], columns_names=_split_comma_separated_values(columns_names), ids_to_consider=_split_comma_separated_values(links_ids), params=parameters, + mc_years=[int(mc_year) for mc_year in _split_comma_separated_values(mc_years)], ) download_name = f"aggregated_output_{uuid}_{output_id}{export_format.suffix}" @@ -361,7 +361,7 @@ def aggregate_areas_raw_data__all( output_id = sanitize_string(output_id) parameters = RequestParameters(user=current_user) - df_matrix = study_service.aggregate_output_data__all( + df_matrix = study_service.aggregate_output_data( uuid, output_id=output_id, query_file=query_file, @@ -427,7 +427,7 @@ def aggregate_links_raw_data__all( output_id = sanitize_string(output_id) parameters = RequestParameters(user=current_user) - df_matrix = study_service.aggregate_output_data__all( + df_matrix = study_service.aggregate_output_data( uuid, output_id=output_id, query_file=query_file, From a20c3a51fd825ddd11f9eb0b274082b831faac53 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Tue, 20 Aug 2024 21:55:37 +0200 Subject: [PATCH 15/19] feat(aggregation-api): raise `InvalidFieldForVersionError` for not handled MCRoot --- antarest/study/business/aggregator_management.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index 7c06edfda2..6cf23c17ac 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -6,7 +6,7 @@ import numpy as np import pandas as pd -from antarest.core.exceptions import FileTooLargeError, OutputNotFound +from antarest.core.exceptions import FileTooLargeError, InvalidFieldForVersionError, OutputNotFound from antarest.study.storage.rawstudy.ini_reader import IniReader from antarest.study.storage.rawstudy.model.filesystem.matrix.date_serializer import ( FactoryDateSerializer, @@ -79,6 +79,7 @@ def _checks_estimated_size(nb_files: int, df_bytes_size: int, nb_files_checked: def _columns_ordering(df_cols: t.List[str], column_name: str, is_details: bool, mc_root: MCRoot) -> t.Sequence[str]: + # original columns org_cols = df_cols.copy() if mc_root == MCRoot.MC_ALL: org_cols = [ @@ -93,7 +94,7 @@ def _columns_ordering(df_cols: t.List[str], column_name: str, is_details: bool, elif mc_root == MCRoot.MC_ALL: new_column_order = [column_name] + ([CLUSTER_ID_COL] if is_details else []) + [TIME_ID_COL, TIME_COL] + org_cols else: - raise NotImplementedError(f"Unknown Monte Carlo root: {mc_root}") + raise InvalidFieldForVersionError(f"Unknown Monte Carlo root: {mc_root}") return new_column_order @@ -298,7 +299,8 @@ def _process_df(self, file_path: Path, is_details: bool) -> pd.DataFrame: return self._parse_output_file(file_path) def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: - assert self.mc_root in [MCRoot.MC_IND, MCRoot.MC_ALL], f"Unknown Monte Carlo root: {self.mc_root}" + if self.mc_root not in [MCRoot.MC_IND, MCRoot.MC_ALL]: + raise InvalidFieldForVersionError(f"Unknown Monte Carlo root: {self.mc_root}") is_details = self.query_file in [ MCIndAreasQueryFile.DETAILS, MCAllAreasQueryFile.DETAILS, @@ -380,7 +382,7 @@ def aggregate_output_data(self) -> pd.DataFrame: all_output_files = sorted(self._gather_all_files_to_consider__all()) else: - raise NotImplementedError(f"Unknown Monte Carlo root: {self.mc_root}") + raise InvalidFieldForVersionError(f"Unknown Monte Carlo root: {self.mc_root}") # Retrieves the horizon from the study output horizon_path = self.study_path / HORIZON_TEMPLATE.format(sim_id=self.output_id) From ca3e923edcde64eabd0f8d204c97b91c464ac8c6 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Tue, 20 Aug 2024 23:49:02 +0200 Subject: [PATCH 16/19] refactor(aggregation-api): rename `normalize` param, optimize code --- antarest/study/business/aggregator_management.py | 15 ++++++--------- 1 file changed, 6 insertions(+), 9 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index 6cf23c17ac..682d07c68d 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -81,10 +81,6 @@ def _checks_estimated_size(nb_files: int, df_bytes_size: int, nb_files_checked: def _columns_ordering(df_cols: t.List[str], column_name: str, is_details: bool, mc_root: MCRoot) -> t.Sequence[str]: # original columns org_cols = df_cols.copy() - if mc_root == MCRoot.MC_ALL: - org_cols = [ - col for col in org_cols if col not in {column_name, CLUSTER_ID_COL, MCYEAR_COL, TIME_ID_COL, TIME_COL} - ] if is_details: org_cols = [col for col in org_cols if col != CLUSTER_ID_COL and col != TIME_ID_COL] if mc_root == MCRoot.MC_IND: @@ -92,6 +88,7 @@ def _columns_ordering(df_cols: t.List[str], column_name: str, is_details: bool, [column_name] + ([CLUSTER_ID_COL] if is_details else []) + [MCYEAR_COL, TIME_ID_COL, TIME_COL] + org_cols ) elif mc_root == MCRoot.MC_ALL: + org_cols = [col for col in org_cols if col not in {column_name, MCYEAR_COL, TIME_COL}] new_column_order = [column_name] + ([CLUSTER_ID_COL] if is_details else []) + [TIME_ID_COL, TIME_COL] + org_cols else: raise InvalidFieldForVersionError(f"Unknown Monte Carlo root: {mc_root}") @@ -152,7 +149,7 @@ def __init__( else MCRoot.MC_ALL ) - def _parse_output_file(self, file_path: Path, normalize: bool = True) -> pd.DataFrame: + def _parse_output_file(self, file_path: Path, normalize_column_name: bool = True) -> pd.DataFrame: csv_file = pd.read_csv( file_path, sep="\t", @@ -165,8 +162,9 @@ def _parse_output_file(self, file_path: Path, normalize: bool = True) -> pd.Data date, body = date_serializer.extract_date(csv_file) df = rename_unnamed(body).astype(float) - if not normalize: - df.index = date + df.index = date + + if not normalize_column_name: return df # normalize columns names @@ -178,7 +176,6 @@ def _parse_output_file(self, file_path: Path, normalize: bool = True) -> pd.Data name_to_consider = " ".join([col[0], col[2]]) new_cols.append(name_to_consider.upper().strip()) - df.index = date df.columns = pd.Index(new_cols) return df @@ -267,7 +264,7 @@ def columns_filtering(self, df: pd.DataFrame, is_details: bool) -> pd.DataFrame: def _process_df(self, file_path: Path, is_details: bool) -> pd.DataFrame: if is_details: - un_normalized_df = self._parse_output_file(file_path, normalize=False) + un_normalized_df = self._parse_output_file(file_path, normalize_column_name=False) df_len = len(un_normalized_df) cluster_dummy_product_cols = sorted( set([(x[CLUSTER_ID_COMPONENT], x[DUMMY_COMPONENT]) for x in un_normalized_df.columns]) From e28697e497c970ebb80153dd1af6828c8e867cb5 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Wed, 21 Aug 2024 10:51:10 +0200 Subject: [PATCH 17/19] refactor(aggregation-api): remove `query_file` type in attrib initialization --- antarest/study/business/aggregator_management.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index 682d07c68d..ef836a034f 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -125,9 +125,7 @@ def __init__( ): self.study_path: Path = study_path self.output_id: str = output_id - self.query_file: t.Union[ - MCIndAreasQueryFile, MCAllAreasQueryFile, MCIndLinksQueryFile, MCAllLinksQueryFile - ] = query_file + self.query_file = query_file self.frequency: MatrixFrequency = frequency self.mc_years: t.Optional[t.Sequence[int]] = mc_years self.columns_names: t.Sequence[str] = columns_names From bc5baed5503066cc6427f7dc63ec9b387178bff5 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Thu, 22 Aug 2024 20:56:56 +0200 Subject: [PATCH 18/19] feat(aggregation-api): update following code review --- antarest/core/exceptions.py | 19 ++ .../study/business/aggregator_management.py | 199 ++++++++++-------- 2 files changed, 132 insertions(+), 86 deletions(-) diff --git a/antarest/core/exceptions.py b/antarest/core/exceptions.py index 8358cc385d..adb38cd21b 100644 --- a/antarest/core/exceptions.py +++ b/antarest/core/exceptions.py @@ -392,6 +392,20 @@ def __str__(self) -> str: return self.detail +class OutputSubFolderNotFound(HTTPException): + """ + Exception raised when an output sub folders do not exist + """ + + def __init__(self, output_id: str, mc_root: str) -> None: + message = f"The output '{output_id}' sub-folder '{mc_root}' does not exist" + super().__init__(HTTPStatus.NOT_FOUND, message) + + def __str__(self) -> str: + """Return a string representation of the exception.""" + return self.detail + + class BadZipBinary(HTTPException): def __init__(self, message: str) -> None: super().__init__(HTTPStatus.UNSUPPORTED_MEDIA_TYPE, message) @@ -446,6 +460,11 @@ def __init__(self, message: str) -> None: super().__init__(HTTPStatus.UNPROCESSABLE_ENTITY, message) +class MCRootNotHandled(HTTPException): + def __init__(self, message: str) -> None: + super().__init__(HTTPStatus.UNPROCESSABLE_ENTITY, message) + + class MatrixWidthMismatchError(HTTPException): def __init__(self, message: str) -> None: super().__init__(HTTPStatus.UNPROCESSABLE_ENTITY, message) diff --git a/antarest/study/business/aggregator_management.py b/antarest/study/business/aggregator_management.py index ef836a034f..ac88b9d82b 100644 --- a/antarest/study/business/aggregator_management.py +++ b/antarest/study/business/aggregator_management.py @@ -6,7 +6,7 @@ import numpy as np import pandas as pd -from antarest.core.exceptions import FileTooLargeError, InvalidFieldForVersionError, OutputNotFound +from antarest.core.exceptions import FileTooLargeError, MCRootNotHandled, OutputNotFound, OutputSubFolderNotFound from antarest.study.storage.rawstudy.ini_reader import IniReader from antarest.study.storage.rawstudy.model.filesystem.matrix.date_serializer import ( FactoryDateSerializer, @@ -91,18 +91,13 @@ def _columns_ordering(df_cols: t.List[str], column_name: str, is_details: bool, org_cols = [col for col in org_cols if col not in {column_name, MCYEAR_COL, TIME_COL}] new_column_order = [column_name] + ([CLUSTER_ID_COL] if is_details else []) + [TIME_ID_COL, TIME_COL] + org_cols else: - raise InvalidFieldForVersionError(f"Unknown Monte Carlo root: {mc_root}") + raise MCRootNotHandled(f"Unknown Monte Carlo root: {mc_root}") return new_column_order def _infer_production_column(cols: t.Sequence[str]) -> t.Optional[str]: - prod_col = None - for c in cols: - if PRODUCTION_COLUMN_REGEX in c.lower().strip(): - prod_col = c - break - return prod_col + return next((c for c in cols if PRODUCTION_COLUMN_REGEX in c.lower().strip()), None) def _infer_time_id(df: pd.DataFrame, is_details: bool) -> t.List[int]: @@ -112,6 +107,19 @@ def _infer_time_id(df: pd.DataFrame, is_details: bool) -> t.List[int]: return list(range(1, len(df) + 1)) +def _filtered_files_listing( + folders_to_check: t.List[Path], + query_file: str, + frequency: str, +) -> t.Dict[str, t.MutableSequence[str]]: + filtered_files: t.Dict[str, t.MutableSequence[str]] = {} + for folder_path in folders_to_check: + for file in folder_path.iterdir(): + if file.stem == f"{query_file}-{frequency}": + filtered_files.setdefault(folder_path.name, []).append(file.name) + return filtered_files + + class AggregatorManager: def __init__( self, @@ -123,13 +131,13 @@ def __init__( columns_names: t.Sequence[str], mc_years: t.Optional[t.Sequence[int]] = None, ): - self.study_path: Path = study_path - self.output_id: str = output_id + self.study_path = study_path + self.output_id = output_id self.query_file = query_file - self.frequency: MatrixFrequency = frequency - self.mc_years: t.Optional[t.Sequence[int]] = mc_years - self.columns_names: t.Sequence[str] = columns_names - self.ids_to_consider: t.Sequence[str] = ids_to_consider + self.frequency = frequency + self.mc_years = mc_years + self.columns_names = columns_names + self.ids_to_consider = ids_to_consider self.output_type = ( "areas" if (isinstance(query_file, MCIndAreasQueryFile) or isinstance(query_file, MCAllAreasQueryFile)) @@ -191,56 +199,49 @@ def _filter_ids(self, folder_path: Path) -> t.List[str]: return [link for link in links_ids if link in self.ids_to_consider] return links_ids - def _gather_all_files_to_consider__ind(self) -> t.Sequence[Path]: - # Monte Carlo years filtering - all_mc_years = [d.name for d in self.mc_ind_path.iterdir()] - if self.mc_years: - all_mc_years = [year for year in all_mc_years if int(year) in self.mc_years] - if not all_mc_years: - return [] - - # Links / Areas ids filtering - - # The list of areas and links is the same whatever the MC year under consideration: - # Therefore we choose the first year by default avoiding useless scanning directory operations. - first_mc_year = all_mc_years[0] - areas_or_links_ids = self._filter_ids(self.mc_ind_path / first_mc_year / self.output_type) - - # Frequency and query file filtering - folders_to_check = [self.mc_ind_path / first_mc_year / self.output_type / id for id in areas_or_links_ids] - filtered_files: t.Dict[str, t.MutableSequence[str]] = {} - for folder_path in folders_to_check: - for file in folder_path.iterdir(): - if file.stem == f"{self.query_file.value}-{self.frequency}": - filtered_files.setdefault(folder_path.name, []).append(file.name) - - # Loop on MC years to return the whole list of files - all_output_files = [ - self.mc_ind_path / mc_year / self.output_type / area_or_link / file - for mc_year in all_mc_years - for area_or_link, files in filtered_files.items() - for file in files - ] - return all_output_files - - def _gather_all_files_to_consider__all(self) -> t.Sequence[Path]: - # Links / Areas ids filtering - areas_or_links_ids = self._filter_ids(self.mc_all_path / self.output_type) - - # Frequency and query file filtering - folders_to_check = [self.mc_all_path / self.output_type / id for id in areas_or_links_ids] - filtered_files: t.Dict[str, t.MutableSequence[str]] = {} - for folder_path in folders_to_check: - for file in folder_path.iterdir(): - if file.stem == f"{self.query_file.value}-{self.frequency}": - filtered_files.setdefault(folder_path.name, []).append(file.name) - - # Loop to return the whole list of files - all_output_files = [ - self.mc_all_path / self.output_type / area_or_link / file - for area_or_link, files in filtered_files.items() - for file in files - ] + def _gather_all_files_to_consider(self) -> t.Sequence[Path]: + if self.mc_root == MCRoot.MC_IND: + # Monte Carlo years filtering + all_mc_years = [d.name for d in self.mc_ind_path.iterdir()] + if self.mc_years: + all_mc_years = [year for year in all_mc_years if int(year) in self.mc_years] + if not all_mc_years: + return [] + + # Links / Areas ids filtering + + # The list of areas and links is the same whatever the MC year under consideration: + # Therefore we choose the first year by default avoiding useless scanning directory operations. + first_mc_year = all_mc_years[0] + areas_or_links_ids = self._filter_ids(self.mc_ind_path / first_mc_year / self.output_type) + + # Frequency and query file filtering + folders_to_check = [self.mc_ind_path / first_mc_year / self.output_type / id for id in areas_or_links_ids] + filtered_files = _filtered_files_listing(folders_to_check, self.query_file, self.frequency) + + # Loop on MC years to return the whole list of files + all_output_files = [ + self.mc_ind_path / mc_year / self.output_type / area_or_link / file + for mc_year in all_mc_years + for area_or_link, files in filtered_files.items() + for file in files + ] + elif self.mc_root == MCRoot.MC_ALL: + # Links / Areas ids filtering + areas_or_links_ids = self._filter_ids(self.mc_all_path / self.output_type) + + # Frequency and query file filtering + folders_to_check = [self.mc_all_path / self.output_type / id for id in areas_or_links_ids] + filtered_files = _filtered_files_listing(folders_to_check, self.query_file, self.frequency) + + # Loop to return the whole list of files + all_output_files = [ + self.mc_all_path / self.output_type / area_or_link / file + for area_or_link, files in filtered_files.items() + for file in files + ] + else: + raise MCRootNotHandled(f"Unknown Monte Carlo root: {self.mc_root}") return all_output_files def columns_filtering(self, df: pd.DataFrame, is_details: bool) -> pd.DataFrame: @@ -261,16 +262,38 @@ def columns_filtering(self, df: pd.DataFrame, is_details: bool) -> pd.DataFrame: return df def _process_df(self, file_path: Path, is_details: bool) -> pd.DataFrame: + """ + Process the output file to return a DataFrame with the correct columns and values + - In the case of a details file, the DataFrame, the columns include two parts cluster name + actual column name + - In other cases, the DataFrame, the columns include only the actual column name + + Thus, the DataFrame is normalized to have the real columns names in both cases. And a new column is added to + for the details file to record the cluster id. + + Args: + file_path: the file Path to extract the data Frame from + is_details: whether the file is a details file or not + + Returns: + the DataFrame with the correct columns and values + """ + if is_details: + # extract the data frame from the file without processing the columns un_normalized_df = self._parse_output_file(file_path, normalize_column_name=False) + # number of rows in the data frame df_len = len(un_normalized_df) cluster_dummy_product_cols = sorted( set([(x[CLUSTER_ID_COMPONENT], x[DUMMY_COMPONENT]) for x in un_normalized_df.columns]) ) + # actual columns without the cluster id (NODU, production etc.) actual_cols = sorted(set(un_normalized_df.columns.map(lambda x: x[ACTUAL_COLUMN_COMPONENT]))) - new_obj: t.Dict[str, t.Any] = {k: [] for k in actual_cols} - new_obj[CLUSTER_ID_COL] = [] - new_obj[TIME_ID_COL] = [] + + # using a dictionary to build the new data frame with the base columns (NO2, production etc.) + # and the cluster id and time id + new_obj: t.Dict[str, t.Any] = {k: [] for k in [CLUSTER_ID_COL, TIME_ID_COL] + actual_cols} + + # loop over the cluster id to extract the values of the actual columns for cluster_id, dummy_component in cluster_dummy_product_cols: for actual_col in actual_cols: col_values = un_normalized_df[(cluster_id, actual_col, dummy_component)].tolist() # type: ignore @@ -278,11 +301,14 @@ def _process_df(self, file_path: Path, is_details: bool) -> pd.DataFrame: new_obj[CLUSTER_ID_COL] += [cluster_id for _ in range(df_len)] new_obj[TIME_ID_COL] += list(range(1, df_len + 1)) + # check if there is a production column to rename it to `PRODUCTION_COLUMN_NAME` prod_col = _infer_production_column(actual_cols) if prod_col is not None: new_obj[PRODUCTION_COLUMN_NAME] = new_obj.pop(prod_col) actual_cols.remove(prod_col) + # reorganize the data frame + # first the production column if it exists add_prod = [PRODUCTION_COLUMN_NAME] if prod_col is not None else [] columns_order = [CLUSTER_ID_COL, TIME_ID_COL] + add_prod + list(actual_cols) df = pd.DataFrame(new_obj).reindex(columns=columns_order).sort_values(by=[TIME_ID_COL, CLUSTER_ID_COL]) @@ -291,11 +317,12 @@ def _process_df(self, file_path: Path, is_details: bool) -> pd.DataFrame: return df else: + # just extract the data frame from the file by just merging the columns components return self._parse_output_file(file_path) def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFrame: if self.mc_root not in [MCRoot.MC_IND, MCRoot.MC_ALL]: - raise InvalidFieldForVersionError(f"Unknown Monte Carlo root: {self.mc_root}") + raise MCRootNotHandled(f"Unknown Monte Carlo root: {self.mc_root}") is_details = self.query_file in [ MCIndAreasQueryFile.DETAILS, MCAllAreasQueryFile.DETAILS, @@ -352,32 +379,32 @@ def _build_dataframe(self, files: t.Sequence[Path], horizon: int) -> pd.DataFram return final_df + def _check_mc_root_folder_exists(self) -> None: + if self.mc_root == MCRoot.MC_IND: + if not self.mc_ind_path.exists(): + raise OutputSubFolderNotFound(self.output_id, f"economy/{MCRoot.MC_IND.value}") + elif self.mc_root == MCRoot.MC_ALL: + if not self.mc_all_path.exists(): + raise OutputSubFolderNotFound(self.output_id, f"economy/{MCRoot.MC_ALL.value}") + else: + raise MCRootNotHandled(f"Unknown Monte Carlo root: {self.mc_root}") + def aggregate_output_data(self) -> pd.DataFrame: """ Aggregates the output data of a study and returns it as a DataFrame """ - if self.mc_root == MCRoot.MC_IND: - # check that the `mc_years` is Sequence[int] - assert self.mc_years is not None, "mc_years should be a `Sequence` of integers" + output_folder = (self.mc_ind_path or self.mc_all_path).parent.parent - # Checks if mc-ind results exist - if not self.mc_ind_path.exists(): - raise OutputNotFound(self.output_id) + # checks if the output folder exists + if not output_folder.exists(): + raise OutputNotFound(self.output_id) - # filters files to consider - all_output_files = sorted(self._gather_all_files_to_consider__ind()) + # checks if the mc root folder exists + self._check_mc_root_folder_exists() - elif self.mc_root == MCRoot.MC_ALL: - # Checks if mc-all results exist - if not self.mc_all_path.exists(): - raise OutputNotFound(self.output_id) - - # filters files to consider - all_output_files = sorted(self._gather_all_files_to_consider__all()) - - else: - raise InvalidFieldForVersionError(f"Unknown Monte Carlo root: {self.mc_root}") + # filters files to consider + all_output_files = sorted(self._gather_all_files_to_consider()) # Retrieves the horizon from the study output horizon_path = self.study_path / HORIZON_TEMPLATE.format(sim_id=self.output_id) From 8416433522e0acc239bfc507f5110a2a06e5d303 Mon Sep 17 00:00:00 2001 From: Mohamed Abdel Wedoud Date: Thu, 22 Aug 2024 20:58:55 +0200 Subject: [PATCH 19/19] test(aggregation-api): check that an Error `OutputSubFolderNotFound` is raised when relevant --- .../test_aggregate_raw_data.py | 40 +++++++++++++++++++ 1 file changed, 40 insertions(+) diff --git a/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py b/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py index ac550d0b59..591791c8ee 100644 --- a/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py +++ b/tests/integration/raw_studies_blueprint/test_aggregate_raw_data.py @@ -1,4 +1,6 @@ import io +import shutil +from pathlib import Path import numpy as np import pandas as pd @@ -612,6 +614,26 @@ def test_empty_columns(self, client: TestClient, user_access_token: str, interna df = pd.read_csv(io.BytesIO(res.content), index_col=0, sep=",") assert df.empty + def test_non_existing_folder( + self, tmp_path: Path, client: TestClient, user_access_token: str, internal_study_id: str + ): + """ + Asserts that requests with non-existing folders send an HTTP 404 Exception + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + + # the mc-ind folder + mc_ind_folder = tmp_path.joinpath("ext_workspace/STA-mini/output/20201014-1425eco-goodbye/economy/mc-ind") + # delete the folder + shutil.rmtree(mc_ind_folder) + res = client.get( + f"/v1/studies/{internal_study_id}/areas/aggregate/mc-ind/20201014-1425eco-goodbye", + params={"query_file": MCIndAreasQueryFile.VALUES, "frequency": MatrixFrequency.HOURLY}, + ) + assert res.status_code == 404, res.json() + assert "economy/mc-ind" in res.json()["description"] + assert res.json()["exception"] == "OutputSubFolderNotFound" + @pytest.mark.integration_test class TestRawDataAggregationMCAll: @@ -800,3 +822,21 @@ def test_empty_columns(self, client: TestClient, user_access_token: str, interna assert res.status_code == 200, res.json() df = pd.read_csv(io.BytesIO(res.content), index_col=0, sep=",") assert df.empty + + def test_non_existing_folder( + self, tmp_path: Path, client: TestClient, user_access_token: str, internal_study_id: str + ): + """ + Test that an error 404 is raised when the `economy/mc-all` folder does not exist + """ + client.headers = {"Authorization": f"Bearer {user_access_token}"} + mc_all_path = tmp_path.joinpath("ext_workspace/STA-mini/output/20241807-1540eco-extra-outputs/economy/mc-all") + # delete the folder + shutil.rmtree(mc_all_path) + res = client.get( + f"/v1/studies/{internal_study_id}/links/aggregate/mc-all/20241807-1540eco-extra-outputs", + params={"query_file": MCAllLinksQueryFile.VALUES, "frequency": MatrixFrequency.DAILY}, + ) + assert res.status_code == 404, res.json() + assert "economy/mc-all" in res.json()["description"] + assert res.json()["exception"] == "OutputSubFolderNotFound"