reduce code duplication in IOHandler _read_particle_coords and _read_particle_fields

yt/frontends/adaptahop/io.py

@@ -36,16 +36,11 @@ def _yield_coordinates(self, data_file):
 
     def _read_particle_coords(self, chunks, ptf):
         # This will read chunks and yield the results.
-        chunks = list(chunks)
-        data_files = set()
         # Only support halo reading for now.
         assert len(ptf) == 1
         assert list(ptf.keys())[0] == "halos"
         ptype = "halos"
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=attrgetter("filename")):
+        for data_file in self._sorted_chunk_iterator(chunks):
             pcount = (
                 data_file.ds.parameters["nhalos"] + data_file.ds.parameters["nsubs"]
             )
@@ -56,14 +51,10 @@ def _read_particle_coords(self, chunks, ptf):
 
     def _read_particle_fields(self, chunks, ptf, selector):
         # Now we have all the sizes, and we can allocate
-        chunks = list(chunks)
-        data_files = set()
+
         # Only support halo reading for now.
         assert len(ptf) == 1
         assert list(ptf.keys())[0] == "halos"
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
 
         def iterate_over_attributes(attr_list):
             for attr, *_ in attr_list:
@@ -76,7 +67,7 @@ def iterate_over_attributes(attr_list):
 
         attr_pos = partial(_find_attr_position, halo_attributes=halo_attributes)
 
-        for data_file in sorted(data_files, key=attrgetter("filename")):
+        for data_file in self._sorted_chunk_iterator(chunks):
             pcount = (
                 data_file.ds.parameters["nhalos"] + data_file.ds.parameters["nsubs"]
             )
@@ -194,6 +185,10 @@ def members(self, ihalo):
             members = fpu.read_attrs(todo.pop(0))["particle_identities"]
         return members
 
+    def _sorted_chunk_iterator(self, chunks):
+        data_files = self._get_data_files(chunks)
+        yield from sorted(data_files, key=attrgetter("filename"))
+
 
 def _todo_from_attributes(attributes: ATTR_T, halo_attributes: ATTR_T):
     # Helper function to generate a list of read-skip instructions given a list of

yt/frontends/ahf/io.py

@@ -16,7 +16,11 @@ def _read_particle_coords(self, chunks, ptf):
         # This needs to *yield* a series of tuples of (ptype, (x, y, z), hsml).
         # chunks is a list of chunks, and ptf is a dict where the keys are
         # ptypes and the values are lists of fields.
-        for data_file in self._get_data_files(chunks, ptf):
+
+        # Only support halo reading for now.
+        assert len(ptf) == 1
+        assert list(ptf.keys())[0] == "halos"
+        for data_file in self._sorted_chunk_iterator(chunks):
             pos = data_file._get_particle_positions("halos")
             x, y, z = (pos[:, i] for i in range(3))
             yield "halos", (x, y, z), 0.0
@@ -34,7 +38,10 @@ def _read_particle_fields(self, chunks, ptf, selector):
         # reading ptype, field and applying the selector to the data read in.
         # Selector objects have a .select_points(x,y,z) that returns a mask, so
         # you need to do your masking here.
-        for data_file in self._get_data_files(chunks, ptf):
+        # Only support halo reading for now.
+        assert len(ptf) == 1
+        assert list(ptf.keys())[0] == "halos"
+        for data_file in self._sorted_chunk_iterator(chunks):
             si, ei = data_file.start, data_file.end
             cols = []
             for field_list in ptf.values():
@@ -65,17 +72,7 @@ def _identify_fields(self, data_file):
         fields = [("halos", f) for f in data_file.col_names]
         return fields, {}
 
-    # Helper methods
-
-    def _get_data_files(self, chunks, ptf):
-        # Only support halo reading for now.
-        assert len(ptf) == 1
-        assert list(ptf.keys())[0] == "halos"
-        # Get data_files
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        data_files = sorted(data_files, key=attrgetter("filename"))
-        yield from data_files
+    def _sorted_chunk_iterator(self, chunks):
+        # yield from sorted list of data_files
+        data_files = self._get_data_files(chunks)
+        yield from sorted(data_files, key=attrgetter("filename"))

yt/frontends/gadget_fof/io.py

@@ -21,12 +21,7 @@ def _read_fluid_selection(self, chunks, selector, fields, size):
 
     def _read_particle_coords(self, chunks, ptf):
         # This will read chunks and yield the results.
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             with h5py.File(data_file.filename, mode="r") as f:
                 for ptype in sorted(ptf):
                     coords = data_file._get_particle_positions(ptype, f=f)
@@ -71,12 +66,7 @@ def _read_offset_particle_field(self, field, data_file, fh):
 
     def _read_particle_fields(self, chunks, ptf, selector):
         # Now we have all the sizes, and we can allocate
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             si, ei = data_file.start, data_file.end
             with h5py.File(data_file.filename, mode="r") as f:
                 for ptype, field_list in sorted(ptf.items()):

yt/frontends/halo_catalog/io.py

@@ -17,17 +17,12 @@ def _read_fluid_selection(self, chunks, selector, fields, size):
 
     def _read_particle_coords(self, chunks, ptf):
         # This will read chunks and yield the results.
-        chunks = list(chunks)
-        data_files = set()
         # Only support halo reading for now.
         assert len(ptf) == 1
         assert list(ptf.keys())[0] == "halos"
         ptype = "halos"
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
         pn = "particle_position_%s"
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             with h5py.File(data_file.filename, mode="r") as f:
                 units = parse_h5_attr(f[pn % "x"], "units")
                 pos = data_file._get_particle_positions(ptype, f=f)
@@ -46,17 +41,11 @@ def _yield_coordinates(self, data_file):
             yield "halos", pos
 
     def _read_particle_fields(self, chunks, ptf, selector):
-        # Now we have all the sizes, and we can allocate
-        chunks = list(chunks)
-        data_files = set()
         # Only support halo reading for now.
         assert len(ptf) == 1
         assert list(ptf.keys())[0] == "halos"
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
         pn = "particle_position_%s"
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             si, ei = data_file.start, data_file.end
             with h5py.File(data_file.filename, mode="r") as f:
                 for ptype, field_list in sorted(ptf.items()):

yt/frontends/http_stream/io.py

@@ -33,12 +33,7 @@ def _identify_fields(self, data_file):
         return f, {}
 
     def _read_particle_coords(self, chunks, ptf):
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             for ptype in ptf:
                 s = self._open_stream(data_file, (ptype, "Coordinates"))
                 c = np.frombuffer(s, dtype="float64")
@@ -47,11 +42,7 @@ def _read_particle_coords(self, chunks, ptf):
 
     def _read_particle_fields(self, chunks, ptf, selector):
         # Now we have all the sizes, and we can allocate
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             for ptype, field_list in sorted(ptf.items()):
                 s = self._open_stream(data_file, (ptype, "Coordinates"))
                 c = np.frombuffer(s, dtype="float64")

yt/frontends/owls_subfind/io.py

@@ -20,12 +20,7 @@ def _read_fluid_selection(self, chunks, selector, fields, size):
 
     def _read_particle_coords(self, chunks, ptf):
         # This will read chunks and yield the results.
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             with h5py.File(data_file.filename, mode="r") as f:
                 for ptype in sorted(ptf):
                     pcount = data_file.total_particles[ptype]
@@ -67,12 +62,7 @@ def _read_offset_particle_field(self, field, data_file, fh):
 
     def _read_particle_fields(self, chunks, ptf, selector):
         # Now we have all the sizes, and we can allocate
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             with h5py.File(data_file.filename, mode="r") as f:
                 for ptype, field_list in sorted(ptf.items()):
                     pcount = data_file.total_particles[ptype]

yt/frontends/rockstar/io.py

@@ -19,16 +19,12 @@ def _read_fluid_selection(self, chunks, selector, fields, size):
 
     def _read_particle_coords(self, chunks, ptf):
         # This will read chunks and yield the results.
-        chunks = list(chunks)
-        data_files = set()
+
         # Only support halo reading for now.
         assert len(ptf) == 1
         assert list(ptf.keys())[0] == "halos"
         ptype = "halos"
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             pcount = data_file.header["num_halos"]
             if pcount == 0:
                 continue
@@ -37,16 +33,10 @@ def _read_particle_coords(self, chunks, ptf):
                 yield "halos", (pos[:, i] for i in range(3)), 0.0
 
     def _read_particle_fields(self, chunks, ptf, selector):
-        # Now we have all the sizes, and we can allocate
-        chunks = list(chunks)
-        data_files = set()
         # Only support halo reading for now.
         assert len(ptf) == 1
         assert list(ptf.keys())[0] == "halos"
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             si, ei = data_file.start, data_file.end
             pcount = data_file.header["num_halos"]
             if pcount == 0:

yt/frontends/sdf/io.py

@@ -15,13 +15,9 @@ def _read_fluid_selection(self, chunks, selector, fields, size):
         raise NotImplementedError
 
     def _read_particle_coords(self, chunks, ptf):
-        chunks = list(chunks)
-        data_files = set()
         assert len(ptf) == 1
         assert ptf.keys()[0] == "dark_matter"
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
+        data_files = self._get_data_files(chunks)
         assert len(data_files) == 1
         for _data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
             yield "dark_matter", (
@@ -31,13 +27,9 @@ def _read_particle_coords(self, chunks, ptf):
             ), 0.0
 
     def _read_particle_fields(self, chunks, ptf, selector):
-        chunks = list(chunks)
-        data_files = set()
         assert len(ptf) == 1
         assert ptf.keys()[0] == "dark_matter"
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
+        data_files = self._get_data_files(chunks)
         assert len(data_files) == 1
         for _data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
             for ptype, field_list in sorted(ptf.items()):

yt/frontends/stream/io.py

@@ -104,9 +104,7 @@ def __init__(self, ds):
         super().__init__(ds)
 
     def _read_particle_coords(self, chunks, ptf):
-        for data_file in sorted(
-            self._get_data_files(chunks), key=lambda x: (x.filename, x.start)
-        ):
+        for data_file in self._sorted_chunk_iterator(chunks):
             f = self.fields[data_file.filename]
             # This double-reads
             for ptype in sorted(ptf):
@@ -117,19 +115,10 @@ def _read_particle_coords(self, chunks, ptf):
                 ), 0.0
 
     def _read_smoothing_length(self, chunks, ptf, ptype):
-        for data_file in sorted(
-            self._get_data_files(chunks), key=lambda x: (x.filename, x.start)
-        ):
+        for data_file in self._sorted_chunk_iterator(chunks):
             f = self.fields[data_file.filename]
             return f[ptype, "smoothing_length"]
 
-    def _get_data_files(self, chunks):
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        return data_files
-
     def _read_particle_data_file(self, data_file, ptf, selector=None):
         return_data = {}
         f = self.fields[data_file.filename]

yt/frontends/tipsy/io.py

@@ -85,12 +85,8 @@ def _fill_fields(self, fields, vals, hsml, mask, data_file):
         return rv
 
     def _read_particle_coords(self, chunks, ptf):
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
         chunksize = self.ds.index.chunksize
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             poff = data_file.field_offsets
             tp = data_file.total_particles
             f = open(data_file.filename, "rb")

yt/frontends/ytdata/io.py

@@ -191,12 +191,7 @@ def _yield_coordinates(self, data_file):
 
     def _read_particle_coords(self, chunks, ptf):
         # This will read chunks and yield the results.
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             index_mask = slice(data_file.start, data_file.end)
             with h5py.File(data_file.filename, mode="r") as f:
                 for ptype in sorted(ptf):
@@ -271,12 +266,7 @@ class IOHandlerYTSpatialPlotHDF5(IOHandlerYTDataContainerHDF5):
 
     def _read_particle_coords(self, chunks, ptf):
         # This will read chunks and yield the results.
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             with h5py.File(data_file.filename, mode="r") as f:
                 for ptype in sorted(ptf):
                     pcount = data_file.total_particles[ptype]
@@ -292,12 +282,7 @@ def _read_particle_coords(self, chunks, ptf):
 
     def _read_particle_fields(self, chunks, ptf, selector):
         # Now we have all the sizes, and we can allocate
-        chunks = list(chunks)
-        data_files = set()
-        for chunk in chunks:
-            for obj in chunk.objs:
-                data_files.update(obj.data_files)
-        for data_file in sorted(data_files, key=lambda x: (x.filename, x.start)):
+        for data_file in self._sorted_chunk_iterator(chunks):
             all_count = self._count_particles(data_file)
             with h5py.File(data_file.filename, mode="r") as f:
                 for ptype, field_list in sorted(ptf.items()):