Merge pull request #13 from StreetEasy/bump-poetry

renaming to dfschema
StreetEasy · Oct 21, 2022 · 6eb15b4 · 6eb15b4
2 parents b166fc3 + b909aa9
commit 6eb15b4
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Showing 76 changed files with 31 additions and 31 deletions.
diff --git a/README.md b/README.md
@@ -18,7 +18,7 @@ Key features:
 Via wrapper
 ```python
 import pandas as pd
-import dfs
+import dfschema as dfs
 
 
 df = pd.DataFrame({

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diff --git a/dfs/__init__.py → dfschema/__init__.py b/dfs/__init__.py → dfschema/__init__.py
diff --git a/dfs/cli.py → dfschema/cli.py b/dfs/cli.py → dfschema/cli.py
diff --git a/dfs/core/__init__.py → dfschema/core/__init__.py b/dfs/core/__init__.py → dfschema/core/__init__.py
diff --git a/dfs/core/collector.py → dfschema/core/collector.py b/dfs/core/collector.py → dfschema/core/collector.py
diff --git a/dfs/core/column.py → dfschema/core/column.py b/dfs/core/column.py → dfschema/core/column.py
diff --git a/dfs/core/core.py → dfschema/core/core.py b/dfs/core/core.py → dfschema/core/core.py
diff --git a/dfs/core/dtype.py → dfschema/core/dtype.py b/dfs/core/dtype.py → dfschema/core/dtype.py
diff --git a/dfs/core/exceptions.py → dfschema/core/exceptions.py b/dfs/core/exceptions.py → dfschema/core/exceptions.py
diff --git a/dfs/core/generate.py → dfschema/core/generate.py b/dfs/core/generate.py → dfschema/core/generate.py
diff --git a/dfs/core/legacy/__init__.py → dfschema/core/legacy/__init__.py b/dfs/core/legacy/__init__.py → dfschema/core/legacy/__init__.py
@@ -1,5 +1,5 @@
 import logging
-from dfs.core.legacy.v1 import V1_DfSchema
+from dfschema.core.legacy.v1 import V1_DfSchema
 
 
 LegacySchemaRegistry = {1.0: V1_DfSchema}

diff --git a/dfs/core/legacy/v1.py → dfschema/core/legacy/v1.py b/dfs/core/legacy/v1.py → dfschema/core/legacy/v1.py
diff --git a/dfs/core/logger.py → dfschema/core/logger.py b/dfs/core/logger.py → dfschema/core/logger.py
diff --git a/dfs/core/misc.py → dfschema/core/misc.py b/dfs/core/misc.py → dfschema/core/misc.py
diff --git a/dfs/core/shape.py → dfschema/core/shape.py b/dfs/core/shape.py → dfschema/core/shape.py
diff --git a/dfs/utils.py → dfschema/utils.py b/dfs/utils.py → dfschema/utils.py
diff --git a/dfs/validate.py → dfschema/validate.py b/dfs/validate.py → dfschema/validate.py
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,5 +1,5 @@
 [tool.poetry]
-name = "dfs"
+name = "dfschema"
 version = "0.0.0"  # set via gitlab-ci
 description = "lightweight pandas.DataFrame schema"
 authors = ["Philipp <[email protected]>"]

diff --git a/tests/test_categorical.py b/tests/test_categorical.py
@@ -6,7 +6,7 @@
 
 
 def test_df_oneof():
-    from dfs import validate_df, DataFrameSummaryError
+    from dfschema import validate_df, DataFrameSummaryError
 
     df = pd.DataFrame({"x": [1, 2, 3], "y": [0.2, 0.5, 0.99], "z": ["A", "A", "Q"]})
     schema = {
@@ -28,7 +28,7 @@ def test_df_oneof():
 
 # @given(df=cat_df_include())
 def test_df_include():
-    from dfs import validate_df, DataFrameSummaryError
+    from dfschema import validate_df, DataFrameSummaryError
 
     df = pd.DataFrame({"x": [1, 2, 3], "y": [0.2, 0.5, 0.99], "z": ["A", "Q", "Q"]})
 
@@ -49,7 +49,7 @@ def test_df_include():
 
 
 def test_df_unique():
-    from dfs import validate_df, DataFrameSummaryError
+    from dfschema import validate_df, DataFrameSummaryError
 
     df = pd.DataFrame({"x": [1, 2, 3], "y": [0.2, 0.5, 0.99], "z": ["A", "B", "C"]})
     schema = {

diff --git a/tests/test_cli.py b/tests/test_cli.py
@@ -6,7 +6,7 @@
 
 @pytest.mark.parametrize("format", ["json", "yaml"])
 def test_cli_generate(format):
-    from dfs.cli import app
+    from dfschema.cli import app
     import json
     import yaml
 
@@ -23,7 +23,7 @@ def test_cli_generate(format):
 
 
 def test_cli_validate():
-    from dfs.cli import app
+    from dfschema.cli import app
 
     result = runner.invoke(
         app,
@@ -38,7 +38,7 @@ def test_cli_validate():
 
 
 def test_cli_validate_error():
-    from dfs.cli import app
+    from dfschema.cli import app
 
     result = runner.invoke(
         app,

diff --git a/tests/test_core.py b/tests/test_core.py
@@ -3,13 +3,13 @@
 
 
 def test_schema_objects(good_schema: dict):
-    from dfs.core.core import DfSchema
+    from dfschema.core.core import DfSchema
 
     DfSchema.from_dict(good_schema["schema"])
 
 
 def test_bad_schema_objects(bad_schema: dict):
-    from dfs.core.core import DfSchema
+    from dfschema.core.core import DfSchema
 
     with pytest.raises((ValidationError, TypeError)):
         DfSchema.from_dict(bad_schema["schema"])
diff --git a/tests/test_generate.py b/tests/test_generate.py
@@ -2,7 +2,7 @@
 
 
 def test_generate(df1):
-    from dfs.core import DfSchema
+    from dfschema.core import DfSchema
 
     print(df1.dtypes)
 

diff --git a/tests/test_invalid.py b/tests/test_invalid.py
@@ -2,7 +2,7 @@
 
 
 def test_df_validate_invalid_schema(df1, bad_schema: dict):
-    from dfs import validate_df
+    from dfschema import validate_df
     from pydantic import ValidationError
 
     with pytest.raises(ValidationError):

diff --git a/tests/test_numeric.py b/tests/test_numeric.py
@@ -63,14 +63,14 @@
 
 @pytest.mark.parametrize("schema", max_min_correct["df1"])
 def test_validate_df1_max_min(df1, schema):
-    from dfs import validate_df
+    from dfschema import validate_df
 
     validate_df(df1, schema)
 
 
 @pytest.mark.parametrize("schema", max_min_correct["df2"])
 def test_validate_df2_max_min(df2, schema):
-    from dfs import validate_df
+    from dfschema import validate_df
 
     validate_df(df2, schema)
 
@@ -87,7 +87,7 @@ def test_validate_df2_max_min(df2, schema):
 
 @pytest.mark.parametrize("schema", wrong_schemas_max_min_df2)
 def test_validate_df2_max_min_raises(df2, schema):
-    from dfs import validate_df, DataFrameValidationError
+    from dfschema import validate_df, DataFrameValidationError
 
     with pytest.raises(DataFrameValidationError):
         validate_df(df2, schema)
diff --git a/tests/test_str_patterns.py b/tests/test_str_patterns.py
@@ -14,7 +14,7 @@ def str_df() -> pd.DataFrame:
 
 
 def test_string_matching(str_df):
-    from dfs.core.core import DfSchema
+    from dfschema.core.core import DfSchema
 
     D = {
         "metadata": {"protocol_version": 2.0},
@@ -30,8 +30,8 @@ def test_string_matching(str_df):
 
 
 def test_string_matching_raises(str_df):
-    from dfs import DfSchema
-    from dfs.core.exceptions import DataFrameSummaryError
+    from dfschema import DfSchema
+    from dfschema.core.exceptions import DataFrameSummaryError
 
     D = {
         "metadata": {"protocol_version": 2.0},

diff --git a/tests/test_subsets.py b/tests/test_subsets.py
@@ -9,7 +9,7 @@ def df_subset():
 
 
 def test_subset_dict(df_subset):
-    from dfs.core.core import DfSchema
+    from dfschema.core.core import DfSchema
 
     D = {
         "metadata": {"protocol_version": 2.0},
@@ -36,7 +36,7 @@ def test_subset_dict(df_subset):
 
 
 def test_subset_query(df_subset):
-    from dfs.core.core import DfSchema
+    from dfschema.core.core import DfSchema
 
     D = {
         "metadata": {"protocol_version": 2.0},
@@ -64,8 +64,8 @@ def test_subset_query(df_subset):
 
 
 def test_subset_query_raises(df_subset):
-    from dfs.core.core import DfSchema
-    from dfs.core.exceptions import DataFrameSummaryError
+    from dfschema.core.core import DfSchema
+    from dfschema.core.exceptions import DataFrameSummaryError
 
     D = {
         "metadata": {"protocol_version": 2.0},

diff --git a/tests/test_v1.py b/tests/test_v1.py
@@ -3,13 +3,13 @@
 
 
 def test_validate_df_v1_invalid(bad_schema_v1):
-    from dfs.core.core import DfSchema
+    from dfschema.core.core import DfSchema
 
     with pytest.raises((ValidationError, TypeError)):
         DfSchema.from_dict(bad_schema_v1["schema"])
 
 
 def test_schema_objects(good_schema_v1: dict):
-    from dfs.core.core import DfSchema
+    from dfschema.core.core import DfSchema
 
     DfSchema.from_dict(good_schema_v1["schema"])
diff --git a/tests/test_validate.py b/tests/test_validate.py
@@ -26,7 +26,7 @@
 
 @pytest.mark.parametrize("schema", good_schemas)
 def test_validate_df(df1, schema):
-    from dfs import validate_df
+    from dfschema import validate_df
 
     validate_df(df1, schema)
 
@@ -52,7 +52,7 @@ def test_validate_df(df1, schema):
 @pytest.mark.parametrize("summary", [False, True])
 @pytest.mark.parametrize("schema", wrong_schemas)
 def test_validate_df_raises(df1, summary, schema):
-    from dfs import (
+    from dfschema import (
         validate_df,
         DataFrameValidationError,
         DataFrameSummaryError,
@@ -91,15 +91,15 @@ def test_validate_df_raises(df1, summary, schema):
 
 @pytest.mark.parametrize("schema", good_schemas2)
 def test_validate_df2(df2, schema):
-    from dfs import validate_df
+    from dfschema import validate_df
 
     validate_df(df2, schema)
 
 
 @pytest.mark.parametrize("summary", [False, True])
 @pytest.mark.parametrize("schema", wrong_schemas2)
 def test_validate_df2_raises(df2, summary, schema):
-    from dfs import (
+    from dfschema import (
         validate_df,
         DataFrameValidationError,
         DataFrameSummaryError,
@@ -133,14 +133,14 @@ def test_validate_df2_raises(df2, summary, schema):
 
 @pytest.mark.parametrize("schema", good_schemas3)
 def test_validate_nan_str(df3, schema):
-    from dfs import validate_df
+    from dfschema import validate_df
 
     validate_df(df3, schema)
 
 
 @pytest.mark.parametrize("schema", wrong_schemas3)
 def test_validate_df3_raises(df3, schema):
-    from dfs import validate_df, DataFrameValidationError
+    from dfschema import validate_df, DataFrameValidationError
 
     with pytest.raises(DataFrameValidationError):
         validate_df(df3, schema)