TEST-modin-project#7191: Fix ASV after changing default branch

Signed-off-by: Anatoly Myachev <anatoly.myachev@intel.com>

.github/workflows/ci.yml

@@ -228,41 +228,36 @@ jobs:
           miniforge-variant: Mambaforge
           miniforge-version: latest
           use-mamba: true
-      - name: ASV installation
-        run: pip install asv==0.5.1
       - name: Running benchmarks
         run: |
           git remote add upstream https://github.com/modin-project/modin.git
           git fetch upstream
-          if git diff upstream/master --name-only | grep -q "^asv_bench/"; then
-              # ASV correctly creates environments for testing only from the branch
-              # with `master` name
-              git checkout -b master
+          if git diff upstream/main --name-only | grep -q "^asv_bench/"; then
               cd asv_bench
-              asv check -v
+
+              mamba env create -f ../environment-dev.yml
+              conda activate modin
+              pip install ..
 
               asv machine --yes
 
               # check Modin on Ray
-              asv run --quick --strict --show-stderr --launch-method=spawn \
+              asv run --quick --dry-run --python=same --strict --show-stderr --launch-method=spawn \
                 -b ^benchmarks -b ^io -b ^scalability | tee benchmarks.log
 
               # check pure pandas
-              MODIN_ASV_USE_IMPL=pandas asv run --quick --strict --show-stderr --launch-method=spawn \
+              MODIN_ASV_USE_IMPL=pandas asv run --quick --dry-run --python=same --strict --show-stderr --launch-method=spawn \
                 -b ^benchmarks -b ^io | tee benchmarks.log
 
-              # Otherwise, ASV considers that the environment has already been created, although ASV command is run for another config,
-              # which requires the creation of a completely new environment. This step will be required after removing the manual environment setup step.
-              rm -f -R .asv/env/
-
               # TODO: Remove manual environment creation after fix https://github.com/airspeed-velocity/asv/issues/1310
+              conda deactivate
               mamba env create -f ../requirements/env_hdk.yml
               conda activate modin_on_hdk
               pip install asv==0.5.1
               pip install ..
 
               # check Modin on HDK
-              MODIN_ENGINE=native MODIN_STORAGE_FORMAT=hdk MODIN_EXPERIMENTAL=true asv run --quick --strict --show-stderr \
+              MODIN_ENGINE=native MODIN_STORAGE_FORMAT=hdk MODIN_EXPERIMENTAL=true asv run --quick --dry-run --python=same --strict --show-stderr \
                 --launch-method=forkserver --python=same --config asv.conf.hdk.json \
                 -b ^hdk | tee benchmarks.log
           else

asv_bench/asv.conf.dask.json

@@ -13,6 +13,10 @@
     // project being benchmarked
     "repo": "..",
 
+    // List of branches to benchmark. If not provided, defaults to "master"
+    // (for git) or "default" (for mercurial).
+    "branches": ["main"],
+
     // Customizable commands for building, installing, and
     // uninstalling the project. See asv.conf.json documentation.
     "install_command": ["in-dir={env_dir} python -mpip install {wheel_file}[dask]"],

asv_bench/asv.conf.hdk.json

@@ -13,6 +13,10 @@
     // project being benchmarked
     "repo": "..",
 
+    // List of branches to benchmark. If not provided, defaults to "master"
+    // (for git) or "default" (for mercurial).
+    "branches": ["main"],
+
     // Customizable commands for building, installing, and
     // uninstalling the project. See asv.conf.json documentation.
     //

asv_bench/asv.conf.json

@@ -13,6 +13,10 @@
     // project being benchmarked
     "repo": "..",
 
+    // List of branches to benchmark. If not provided, defaults to "master"
+    // (for git) or "default" (for mercurial).
+    "branches": ["main"],
+
     // Customizable commands for building, installing, and
     // uninstalling the project. See asv.conf.json documentation.
     "install_command": ["in-dir={env_dir} python -mpip install {wheel_file}[ray]"],

asv_bench/asv.conf.unidist.json

@@ -13,6 +13,10 @@
     // project being benchmarked
     "repo": "..",
 
+    // List of branches to benchmark. If not provided, defaults to "master"
+    // (for git) or "default" (for mercurial).
+    "branches": ["main"],
+
     // Customizable commands for building, installing, and
     // uninstalling the project. See asv.conf.json documentation.
     "install_command": ["in-dir={env_dir} python -mpip install {wheel_file}[unidist]"],

asv_bench/benchmarks/benchmarks.py

@@ -1029,20 +1029,17 @@ class TimeDropDuplicatesDataframe:
     param_names = ["shape"]
 
     def setup(self, shape):
-        from pandas import DataFrame
-
         rows, cols = shape
         N = rows // 10
         K = 10
-        # Assigning a large number of columns - inefficient in Modin, so use pandas
-        temp_df = DataFrame()
-        # dataframe would  have cols-1 keys(strings) and one value(int) column
+        data = {}
+        # dataframe would have cols-1 keys(strings) and one value(int) column
         for col in range(cols - 1):
-            temp_df["key" + str(col + 1)] = IMPL.Index(
+            data["key" + str(col + 1)] = IMPL.Index(
                 [f"i-{i}" for i in range(N)], dtype=object
             ).values.repeat(K)
-        self.df = IMPL.DataFrame(temp_df)
-        self.df["value"] = np.random.randn(N * K)
+        data["value"] = np.random.randn(N * K)
+        self.df = IMPL.DataFrame(data)
         execute(self.df)
 
     def time_drop_dups(self, shape):