repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model_components.py | test_field_to_column | assert | variable | 18 | from typing import Any
import pytest
import pandera as pa
from pandera.engines.pandas_engine import Engine
def test_field_to_column() -> None:
"""Test that Field outputs the correct column options."""
for flag in ["nullable", "unique", "coerce", "regex"]:
for value in [True, False]:
col_k... | value | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_polars_from_parametrized_nested_dtype | assert | variable | 55 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | shape | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/strategies/test_strategies.py | test_check_strategy_continuous | assert | variable | 65 | import datetime
import operator
import re
from typing import Any, Callable, Optional, Set
from unittest.mock import MagicMock
from warnings import catch_warnings
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.strategies import pandas_strategies as strategies
from pandera.api.ch... | value | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/io/test_pandas_io.py | test_serialize_deserialize_custom_datetime_checks | assert | variable | 227 | import platform
import tempfile
from io import StringIO
from pathlib import Path
from unittest import mock
import pandas as pd
import pytest
from packaging import version
import pandera
import pandera.api.extensions as pa_ext
import pandera.typing as pat
from pandera.api.pandas.container import DataFrameSchema
from p... | schema | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks_builtin.py | check_values | assert | variable | 27 | import pickle
from typing import Iterable
import pandas as pd
import pytest
from pandera.api.checks import Check
from pandera.api.pandas.array import SeriesSchema
from pandera.api.pandas.components import Column
from pandera.api.pandas.container import DataFrameSchema
from pandera.errors import SchemaError, SchemaWar... | passes | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks_builtin.py | check_none_failures | assert | variable | 56 | import pickle
from typing import Iterable
import pandas as pd
import pytest
from pandera.api.checks import Check
from pandera.api.pandas.array import SeriesSchema
from pandera.api.pandas.components import Column
from pandera.api.pandas.container import DataFrameSchema
from pandera.errors import SchemaError, SchemaWar... | series | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_decorators.py | test_check_types_star_args_kwargs | assert_* | variable | 58 | import pickle
import typing
from asyncio import AbstractEventLoop
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
Field,
Float,
Int,
String,
check_input,
check_io,
check_output,
che... | kwarg) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_decorators.py | _assert_equals | assert | variable | 38 | import pickle
import typing
from asyncio import AbstractEventLoop
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
Field,
Float,
Int,
String,
check_input,
check_io,
check_output,
che... | expect | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | test_column_regex_matching | pytest.raises | variable | 137 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | error) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_model.py | test_model_schema_equivalency_with_optional | assert | variable | 96 | from datetime import datetime
import sys
from typing import Optional
import polars as pl
import pytest
from hypothesis import given
from hypothesis import strategies as st
from polars.testing.parametric import column, dataframes
import pandera.engines.polars_engine as pe
from pandera.errors import SchemaError
from pa... | schema | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/strategies/test_strategies.py | test_isin_notin_strategies | assert | variable | 105 | import datetime
import operator
import re
from typing import Any, Callable, Optional, Set
from unittest.mock import MagicMock
from warnings import catch_warnings
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.strategies import pandas_strategies as strategies
from pandera.api.ch... | values | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/dask/test_dask_accessor.py | test_dataframe_series_add_schema | assert | variable | 43 | from typing import Union
import dask.dataframe as dd
import pandas as pd
import pytest
import pandera as pa
@pytest.mark.parametrize(
"schema1, schema2, data, invalid_data",
[
[
pa.DataFrameSchema({"col": pa.Column(int)}, coerce=True),
pa.DataFrameSchema({"col": pa.Column(floa... | schema1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/dask/test_dask_accessor.py | test_dataframe_series_add_schema | assert | variable | 50 | from typing import Union
import dask.dataframe as dd
import pandas as pd
import pytest
import pandera as pa
@pytest.mark.parametrize(
"schema1, schema2, data, invalid_data",
[
[
pa.DataFrameSchema({"col": pa.Column(int)}, coerce=True),
pa.DataFrameSchema({"col": pa.Column(floa... | schema2 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_decorators.py | test_check_types_star_args_kwargs | assert_* | variable | 61 | import pickle
import typing
from asyncio import AbstractEventLoop
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
Field,
Float,
Int,
String,
check_input,
check_io,
check_output,
che... | actual) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_accessor.py | test_dataframe_series_add_schema | assert | variable | 45 | from typing import Union
from unittest.mock import patch
import pandas as pd
import pytest
import pandera as pa
import pandera.api.pandas.container
from pandera.errors import BackendNotFoundError
@pytest.mark.parametrize(
"schema1, schema2, data, invalid_data",
[
[
pa.DataFrameSchema({"co... | schema1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_accessor.py | test_dataframe_series_add_schema | assert | variable | 52 | from typing import Union
from unittest.mock import patch
import pandas as pd
import pytest
import pandera as pa
import pandera.api.pandas.container
from pandera.errors import BackendNotFoundError
@pytest.mark.parametrize(
"schema1, schema2, data, invalid_data",
[
[
pa.DataFrameSchema({"co... | schema2 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | test_column_default_works_when_dtype_match | assert | variable | 112 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | default | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_polars_object_coercible | assert_* | variable | 82 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | result) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_accessor.py | test_dataframe_add_schema | assert | variable | 38 | from typing import Union
import pytest
from pyspark.sql import DataFrame, SparkSession
from pyspark.sql.functions import col
from pyspark.sql.types import FloatType, LongType
import pandera.pyspark as pa
from pandera.config import PanderaConfig, ValidationDepth
from pandera.pyspark import pyspark_sql_accessor
spark ... | schema1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/modin/test_schemas_on_modin.py | test_dtype_coercion | assert | variable | 58 | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera as pa
from pandera import extensions
from pandera.engines import numpy_engine, pandas_engine
from pandera.typing.modin import DataFrame, Index, Series, modin_version
from tests.strategies.test... | to_dtype | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_dtypes.py | test_coerce_dt | assert | variable | 264 | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, Dict, List, NamedTuple, Tuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypot... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model_components.py | test_field_checks | assert | variable | 40 | from typing import Any
import pytest
import pandera as pa
from pandera.engines.pandas_engine import Engine
@pytest.mark.parametrize(
"arg,value,expected",
[
("eq", 9, pa.Check.equal_to(9)),
("ne", 9, pa.Check.not_equal_to(9)),
("gt", 9, pa.Check.greater_than(9)),
("ge", 9, pa.... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_config.py | test_disable_validation | assert | variable | 47 | from dataclasses import asdict
import pandas as pd
import pytest
import pandera as pa
from pandera import DataFrameModel, DataFrameSchema, SeriesSchema
from pandera.config import ValidationDepth, config_context, get_config_context
def disable_validation():
"""Fixture to disable validation and clean up after the ... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_engine.py | test_pandas_datetimetz_dtype | assert | variable | 59 | import datetime as dt
from typing import Tuple, List, Optional, Any, Set
import hypothesis
import hypothesis.extra.pandas as pd_st
import hypothesis.strategies as st
import numpy as np
import pandas as pd
import pyarrow
import pytest
import pytz
from hypothesis import given
from pandera import Field, DataFrameModel, ... | timezone | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_typing.py | _test_literal_pandas_dtype | assert | variable | 18 | import re
from typing import Any, Dict, Optional, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.dtypes import DataType
from pandera.typing import DataFrame, Index, Series
def _test_literal_pandas_dtype(
model: Type[pa.DataFrameModel], pandas_dtype: DataType
):
sc... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_validation_depth.py | test_validate_scope | assert | variable | 43 | import pytest
from pandera.backends.base import CoreCheckResult
from pandera.config import ValidationDepth, ValidationScope, config_context
from pandera.validation_depth import validate_scope
def custom_backend():
class CustomBackend:
# pylint: disable=unused-argument
@validate_scope(ValidationSc... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_components.py | test_coerce_dtype | assert | variable | 53 | from typing import Iterable, List, Optional, Union
import polars as pl
import pytest
import pandera.polars as pa
from pandera.api.polars.utils import get_lazyframe_schema
from pandera.backends.base import CoreCheckResult
from pandera.backends.polars.components import ColumnBackend
from pandera.dtypes import DataType
... | to_dtype | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_coerce_no_cast | assert_* | variable | 52 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | coerced) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_config.py | test_schema_only | assert | variable | 47 | from dataclasses import asdict
import pyspark.sql.types as T
import pytest
from pandera.config import ValidationDepth, config_context, get_config_context
from pandera.pyspark import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
Field,
)
from tests.pyspark.conftest import spark_df
pytestmark =... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_config.py | test_disable_validation | assert | variable | 53 | from dataclasses import asdict
import pyspark.sql.types as T
import pytest
from pandera.config import ValidationDepth, config_context, get_config_context
from pandera.pyspark import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
Field,
)
from tests.pyspark.conftest import spark_df
pytestmark =... | input_df | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_container.py | test_pyspark_column_metadata | assert | variable | 55 | import platform
from contextlib import nullcontext as does_not_raise
from datetime import date, datetime
from decimal import Decimal
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame, Row
import pandera.errors
import pandera.pyspark as pa
from pandera.config import PanderaConfig, Validatio... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_error.py | test_pyspark_check_eq | assert | variable | 60 | import pyspark.sql.types as T
import pytest
from pyspark.sql.types import StringType
import pandera.pyspark as pa
from pandera.api.base import error_handler
from pandera.errors import SchemaError, SchemaErrorReason
from pandera.pyspark import Column, DataFrameModel, DataFrameSchema, Field
from tests.pyspark.conftest i... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_model.py | test_pyspark_fields_metadata | assert | variable | 63 | from contextlib import nullcontext as does_not_raise
from typing import Optional
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame
import pandera
import pandera.api.extensions as pax
import pandera.pyspark as pa
from pandera.api.pyspark.model import docstring_substitution
from pandera.conf... | expected | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/io/test_pandas_io.py | test_from_yaml_retains_ordered_keyword | pytest.raises | variable | 240 | import platform
import tempfile
from io import StringIO
from pathlib import Path
from unittest import mock
import pandas as pd
import pytest
from packaging import version
import pandera
import pandera.api.extensions as pa_ext
import pandera.typing as pat
from pandera.api.pandas.container import DataFrameSchema
from p... | expected) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_config.py | test_coerce_validation_depth_none | pytest.raises | variable | 80 | import polars as pl
import pytest
import pandera.polars as pa
from pandera.engines.polars_engine import polars_version
from pandera.api.polars.utils import get_lazyframe_schema
from pandera.api.base.error_handler import ErrorCategory
from pandera.config import (
CONFIG,
ValidationDepth,
config_context,
... | ErrorCls) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_engine.py | test_engine_geometry_equality | pytest.raises | variable | 19 | import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
import shapely
from shapely.geometry import Point
import pandera as pa
from pandera.engines.pandas_engine import DateTime
from pandera.engines.geopandas_engine import Geometry
def test_engine_geometry_equality():
"""Test Geometry for equ... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_geopandas.py | test_schema_dtype_crs_with_coerce | pytest.raises | variable | 54 | import geopandas as gpd
import pandas as pd
import pytest
from shapely.geometry import Point, Polygon
import pandera as pa
from pandera.engines.geopandas_engine import Geometry
from pandera.typing import Series
from pandera.typing.geopandas import GeoDataFrame, GeoSeries
@pytest.mark.parametrize(
"gdf_args,invali... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/io/test_pandas_io.py | test_from_yaml_retains_ordered_keyword | assert | variable | 234 | import platform
import tempfile
from io import StringIO
from pathlib import Path
from unittest import mock
import pandas as pd
import pytest
from packaging import version
import pandera
import pandera.api.extensions as pa_ext
import pandera.typing as pat
from pandera.api.pandas.container import DataFrameSchema
from p... | is_ordered | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks.py | test_equality_operators_functional_equivalence | assert | variable | 27 | import copy
import pandas as pd
import pytest
from pandera import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
from pandera.backends.pandas import error_formatters
def test_equality_operators_functional_equivalence() -> None:
"... | same_check | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks.py | test_reshape_failure_cases_exceptions | pytest.raises | variable | 29 | import copy
import pandas as pd
import pytest
from pandera import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
from pandera.backends.pandas import error_formatters
def test_reshape_failure_cases_exceptions() -> None:
"""Tests t... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_dtypes.py | test_invalid_pandas_extension_dtype | pytest.raises | variable | 214 | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, Dict, List, NamedTuple, Tuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypot... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_extensions.py | test_register_check_invalid_supported_types | pytest.raises | variable | 32 | from typing import Any, Optional, Union
import pandas as pd
import pytest
import pandera as pa
import pandera.strategies.pandas_strategies as st
from pandera import DataType, extensions
from pandera.api.checks import Check
from pandera.backends.pandas.register import register_pandas_backends
def register_pandas_back... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_engine.py | test_pandas_category_dtype | assert | variable | 31 | import datetime as dt
from typing import Tuple, List, Optional, Any, Set
import hypothesis
import hypothesis.extra.pandas as pd_st
import hypothesis.strategies as st
import numpy as np
import pandas as pd
import pyarrow
import pytest
import pytz
from hypothesis import given
from pandera import Field, DataFrameModel, ... | CATEGORIES | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_engine.py | test_pandas_category_dtype_error | pytest.raises | variable | 27 | import datetime as dt
from typing import Tuple, List, Optional, Any, Set
import hypothesis
import hypothesis.extra.pandas as pd_st
import hypothesis.strategies as st
import numpy as np
import pandas as pd
import pyarrow
import pytest
import pytz
from hypothesis import given
from pandera import Field, DataFrameModel, ... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | test_column_type_can_be_set | pytest.raises | variable | 94 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_container.py | test_basic_polars_lazyframe_dtype_error | pytest.raises | variable | 86 | from typing import Optional
import polars as pl
import pytest
from hypothesis import given
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import column, dataframes
import pandera as pa
from pandera import Check as C
from pandera.api.polars.types im... | error_cls) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_check_equivalent_custom | assert | variable | 71 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | equivalent | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_check.py | test_failed_unaccepted_datatypes | pytest.raises | variable | 162 | import datetime
import decimal
from unittest import mock
import pytest
from pyspark.sql.functions import col
from pyspark.sql.types import (
ArrayType,
BooleanType,
ByteType,
DateType,
DecimalType,
DoubleType,
FloatType,
IntegerType,
LongType,
MapType,
ShortType,
StringT... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_schemas_on_pyspark_pandas.py | _test_datatype_with_schema | pytest.raises | variable | 69 | import re
import typing
from unittest.mock import MagicMock
import numpy as np
import pandas as pd
import pyspark
import pyspark.pandas as ps
import pytest
from packaging import version
import pandera as pa
from pandera.typing import pyspark as pyspark_typing
from pandera import dtypes, extensions, system
from pander... | TypeError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/base/test_base_schema.py | test_get_backend_error | pytest.raises | variable | 11 | import pytest
from pandera.api.base.schema import BaseSchema
from pandera.backends.base import BaseSchemaBackend
def test_get_backend_error():
"""Raise value error when no arguments are passed."""
schema = MockSchema()
with pytest.raises( | ValueError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/io/test_pandas_io.py | test_to_yaml_retains_ordered_keyword | assert | variable | 224 | import platform
import tempfile
from io import StringIO
from pathlib import Path
from unittest import mock
import pandas as pd
import pytest
from packaging import version
import pandera
import pandera.api.extensions as pa_ext
import pandera.typing as pat
from pandera.api.pandas.container import DataFrameSchema
from p... | yaml_schema | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/modin/test_schemas_on_modin.py | test_dtype_coercion | pytest.raises | variable | 61 | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera as pa
from pandera import extensions
from pandera.engines import numpy_engine, pandas_engine
from pandera.typing.modin import DataFrame, Index, Series, modin_version
from tests.strategies.test... | ValueError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks_builtin.py | test_argument_check | pytest.raises | variable | 95 | import pickle
from typing import Iterable
import pandas as pd
import pytest
from pandera.api.checks import Check
from pandera.api.pandas.array import SeriesSchema
from pandera.api.pandas.components import Column
from pandera.api.pandas.container import DataFrameSchema
from pandera.errors import SchemaError, SchemaWar... | ValueError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_config.py | test_nested_config_context | assert | variable | 56 | import pytest
from pandera.config import (
ValidationDepth,
config_context,
get_config_context,
get_config_global,
)
@pytest.mark.parametrize(
"setting, outer_value, inner_value",
[
("validation_enabled", True, False),
("validation_enabled", False, True),
(
... | outer_value | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_config.py | test_nested_config_context | assert | variable | 60 | import pytest
from pandera.config import (
ValidationDepth,
config_context,
get_config_context,
get_config_global,
)
@pytest.mark.parametrize(
"setting, outer_value, inner_value",
[
("validation_enabled", True, False),
("validation_enabled", False, True),
(
... | inner_value | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | test_unhashable_types_rendered_on_failing_checks_with_lazy_validation | assert | variable | 61 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | unhashables | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_logical_dtypes.py | test_invalid_decimal_params | pytest.raises | variable | 18 | from datetime import date, datetime
from decimal import Decimal
from typing import Any, Iterable, List, cast
import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_series_equal
import pandera as pa
from pandera.engines import pandas_engine
from pandera.errors import ParserError
@pytes... | ValueError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_parsers.py | test_equality_operators_functional_equivalence | assert | variable | 20 | import copy
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.api.pandas.array import SeriesSchema
from pandera.api.pandas.container import DataFrameSchema
from pandera.api.parsers import Parser
from pandera.typing import Series
def test_equality_operators_functional_equivalence(... | same_parser | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | test_column_regex | pytest.raises | variable | 119 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | IndexError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_statistics.py | test_get_dataframe_schema_statistics | assert | variable | 188 | import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.schema_statistics.pandas as schema_statistics
from pandera import dtypes
from pandera.engines import pandas_engine
DEFAULT_FLOAT = pandas_engine.Engine.dtype(float)
DEFAULT_INT = pandas_engine.Engine.dtype(int)
NUMERIC_TYPES = [... | expectation | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_statistics.py | test_parse_checks_and_statistics_roundtrip | pytest.raises | variable | 147 | import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.schema_statistics.pandas as schema_statistics
from pandera import dtypes
from pandera.engines import pandas_engine
DEFAULT_FLOAT = pandas_engine.Engine.dtype(float)
DEFAULT_INT = pandas_engine.Engine.dtype(int)
NUMERIC_TYPES = [... | ValueError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | _validate_error | assert | func_call | 61 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | str(df) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_engine.py | test_register_dtype_complete | assert | func_call | 38 | import re
from typing import Any, Generator, List, Union
import pytest
from pandera.dtypes import DataType
from pandera.engines.engine import Engine
def equivalents() -> List[Any]:
return [int, "int", 1]
def engine() -> Generator[Engine, None, None]:
class FakeEngine( # pylint:disable=too-few-public-method... | _Dtype() | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | _validate_error | assert | func_call | 56 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | str(exc) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_engine.py | test_register_dtype_overwrite | assert | func_call | 32 | import re
from typing import Any, Generator, List, Union
import pytest
from pandera.dtypes import DataType
from pandera.engines.engine import Engine
def equivalents() -> List[Any]:
return [int, "int", 1]
def engine() -> Generator[Engine, None, None]:
class FakeEngine( # pylint:disable=too-few-public-method... | _DtypeA() | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_engine.py | test_register_dtype_overwrite | assert | func_call | 42 | import re
from typing import Any, Generator, List, Union
import pytest
from pandera.dtypes import DataType
from pandera.engines.engine import Engine
def equivalents() -> List[Any]:
return [int, "int", 1]
def engine() -> Generator[Engine, None, None]:
class FakeEngine( # pylint:disable=too-few-public-method... | _DtypeB() | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_extensions.py | test_custom_checks_in_dir | assert | func_call | 18 | from typing import Any, Optional, Union
import pandas as pd
import pytest
import pandera as pa
import pandera.strategies.pandas_strategies as st
from pandera import DataType, extensions
from pandera.api.checks import Check
from pandera.backends.pandas.register import register_pandas_backends
def register_pandas_back... | dir(Check) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/mypy/test_pandas_static_type_checking.py | test_mypy_pandas_dataframe | assert | func_call | 66 | import importlib
import os
import re
import subprocess
import sys
import typing
from pathlib import Path
import pytest
import pandera as pa
from tests.mypy.pandas_modules import pandas_dataframe
test_module_dir = Path(os.path.dirname(__file__))
def _get_mypy_errors(
module_name: str,
stdout,
) -> typing.Lis... | len(errors) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | test_message_contains_schema_name | assert | func_call | 82 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | str(e.value) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/strategies/test_strategies.py | test_str_length_checks | assert | func_call | 97 | import datetime
import operator
import re
from typing import Any, Callable, Optional, Set
from unittest.mock import MagicMock
from warnings import catch_warnings
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.strategies import pandas_strategies as strategies
from pandera.api.ch... | len(example) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_dtypes.py | test_datatype_alias | assert | func_call | 214 | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, Dict, List, NamedTuple, Tuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypot... | str(pd_dtype) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_engine.py | test_return_base_dtype | assert | func_call | 25 | import re
from typing import Any, Generator, List, Union
import pytest
from pandera.dtypes import DataType
from pandera.engines.engine import Engine
def equivalents() -> List[Any]:
return [int, "int", 1]
def engine() -> Generator[Engine, None, None]:
class FakeEngine( # pylint:disable=too-few-public-method... | SimpleDtype() | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/dask/test_dask.py | test_model_validation | assert_* | func_call | 21 | from typing import cast
import dask.dataframe as dd
import pandas as pd
import pytest
import pandera as pa
from pandera.typing.dask import DataFrame, Series
def test_model_validation() -> None:
"""
Test that model based pandera validation works with Dask DataFrames.
"""
df = pd.DataFrame(
{"c... | ddf.compute()) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | _compare_exception_with_unpickled | assert | func_call | 60 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | str(exc_native) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_statistics.py | test_parse_check_statistics | assert | func_call | 96 | import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.schema_statistics.pandas as schema_statistics
from pandera import dtypes
from pandera.engines import pandas_engine
DEFAULT_FLOAT = pandas_engine.Engine.dtype(float)
DEFAULT_INT = pandas_engine.Engine.dtype(int)
NUMERIC_TYPES = [... | set(expectation) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/strategies/test_strategies.py | test_in_range_strategy | assert | func_call | 103 | import datetime
import operator
import re
from typing import Any, Callable, Optional, Set
from unittest.mock import MagicMock
from warnings import catch_warnings
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.strategies import pandas_strategies as strategies
from pandera.api.ch... | data.draw(strat) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | test_column_coerce | assert | func_call | 30 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | Engine.dtype(int) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_model.py | test_schema_with_bare_types | assert | func_call | 47 | from contextlib import nullcontext as does_not_raise
from typing import Optional
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame
import pandera
import pandera.api.extensions as pax
import pandera.pyspark as pa
from pandera.api.pyspark.model import docstring_substitution
from pandera.conf... | Model.to_schema() | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/dask/test_dask.py | test_series_schema | assert_* | func_call | 22 | from typing import cast
import dask.dataframe as dd
import pandas as pd
import pytest
import pandera as pa
from pandera.typing.dask import DataFrame, Series
def test_series_schema() -> None:
"""
Test that SeriesSchema based pandera validation works with Dask Series.
"""
integer_schema = pa.SeriesSche... | dseries.compute()) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks.py | test_check_equality_operators | assert | func_call | 27 | import copy
import pandas as pd
import pytest
from pandera import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
from pandera.backends.pandas import error_formatters
def test_check_equality_operators() -> None:
"""Test the usage ... | copy.deepcopy(check) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | _compare_exception_with_unpickled | assert | func_call | 68 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | str(exc_native.data) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/mypy/test_pandas_static_type_checking.py | test_pandas_stubs_false_positives | assert | func_call | 102 | import importlib
import os
import re
import subprocess
import sys
import typing
from pathlib import Path
import pytest
import pandera as pa
from tests.mypy.pandas_modules import pandas_dataframe
test_module_dir = Path(os.path.dirname(__file__))
def _get_mypy_errors(
module_name: str,
stdout,
) -> typing.Lis... | len(resulting_errors) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_engine.py | test_return_base_dtype | assert | func_call | 38 | import re
from typing import Any, Generator, List, Union
import pytest
from pandera.dtypes import DataType
from pandera.engines.engine import Engine
def equivalents() -> List[Any]:
return [int, "int", 1]
def engine() -> Generator[Engine, None, None]:
class FakeEngine( # pylint:disable=too-few-public-method... | ParametrizedDtypec(1) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_config.py | test_coerce_validation_depth_none | assert | complex_expr | 73 | import polars as pl
import pytest
import pandera.polars as pa
from pandera.engines.polars_engine import polars_version
from pandera.api.polars.utils import get_lazyframe_schema
from pandera.api.base.error_handler import ErrorCategory
from pandera.config import (
CONFIG,
ValidationDepth,
config_context,
... | pl.Int64 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_parallel.py | test_polars_parallel | assert | complex_expr | 16 | import polars as pl
from joblib import Parallel, delayed
from pandera.polars import Column, DataFrameSchema
schema = DataFrameSchema({"a": Column(pl.Int32)}, coerce=True)
def test_polars_parallel():
def fn():
return schema.validate(pl.DataFrame({"a": [1]}))
results = Parallel(2)([delayed(fn)() for _... | pl.Int32 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_engine.py | test_pandas_arrow_dtype | assert | complex_expr | 162 | import datetime as dt
from typing import Tuple, List, Optional, Any, Set
import hypothesis
import hypothesis.extra.pandas as pd_st
import hypothesis.strategies as st
import numpy as np
import pandas as pd
import pyarrow
import pytest
import pytz
from hypothesis import given
from pandera import Field, DataFrameModel, ... | dtype.type | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_coerce_cast_special | assert | complex_expr | 69 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | pl.Decimal | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/dask/test_dask_not_installed.py | test_dask_not_installed | assert | complex_expr | 27 | import sys
from unittest import mock
import pandas as pd
import pytest
def test_dask_not_installed() -> None:
"""
Test that Pandera and its modules can be imported and continue to work
without dask.
"""
with mock.patch.dict("sys.modules", {"dask": None}):
with pytest.raises(ImportError):
... | sys.modules | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_config.py | test_lazyframe_validation_depth_none | assert | complex_expr | 87 | import polars as pl
import pytest
import pandera.polars as pa
from pandera.engines.polars_engine import polars_version
from pandera.api.polars.utils import get_lazyframe_schema
from pandera.api.base.error_handler import ErrorCategory
from pandera.config import (
CONFIG,
ValidationDepth,
config_context,
... | exc.message | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_decorators.py | test_cache_dataframe_settings | assert | complex_expr | 72 | import logging
from contextlib import nullcontext as does_not_raise
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame
from pandera.backends.pyspark.decorators import cache_check_obj
from pandera.config import config_context
from pandera.pyspark import Check, Column, DataFrameSchema
from te... | caplog.text | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/strategies/test_strategies.py | test_field_element_strategy | assert | complex_expr | 81 | import datetime
import operator
import re
from typing import Any, Callable, Optional, Set
from unittest.mock import MagicMock
from warnings import catch_warnings
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.strategies import pandas_strategies as strategies
from pandera.api.ch... | data_type.tz | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_coerce_no_cast_special | assert | complex_expr | 57 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | to_dtype.type | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_geopandas.py | test_schema_multiple_geometry_same_crs | assert_* | complex_expr | 32 | import geopandas as gpd
import pandas as pd
import pytest
from shapely.geometry import Point, Polygon
import pandera as pa
from pandera.engines.geopandas_engine import Geometry
from pandera.typing import Series
from pandera.typing.geopandas import GeoDataFrame, GeoSeries
def test_schema_multiple_geometry_same_crs():
... | data["random"]) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_config.py | test_disable_validation | assert | complex_expr | 48 | from dataclasses import asdict
import pandas as pd
import pytest
import pandera as pa
from pandera import DataFrameModel, DataFrameSchema, SeriesSchema
from pandera.config import ValidationDepth, config_context, get_config_context
def disable_validation():
"""Fixture to disable validation and clean up after the ... | self.sample_data | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_check.py | test_datatype_check_decorator | assert | complex_expr | 134 | import datetime
import decimal
from unittest import mock
import pytest
from pyspark.sql.functions import col
from pyspark.sql.types import (
ArrayType,
BooleanType,
ByteType,
DateType,
DecimalType,
DoubleType,
FloatType,
IntegerType,
LongType,
MapType,
ShortType,
StringT... | expected["DATA"] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_error.py | test_pyspark_schema_data_checks | assert | complex_expr | 83 | import pyspark.sql.types as T
import pytest
from pyspark.sql.types import StringType
import pandera.pyspark as pa
from pandera.api.base import error_handler
from pandera.errors import SchemaError, SchemaErrorReason
from pandera.pyspark import Column, DataFrameModel, DataFrameSchema, Field
from tests.pyspark.conftest i... | expected["DATA"] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_geopandas.py | test_schema_multiple_geometry_same_crs | assert_* | complex_expr | 31 | import geopandas as gpd
import pandas as pd
import pytest
from shapely.geometry import Point, Polygon
import pandera as pa
from pandera.engines.geopandas_engine import Geometry
from pandera.typing import Series
from pandera.typing.geopandas import GeoDataFrame, GeoSeries
def test_schema_multiple_geometry_same_crs():
... | data["geometry"]) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_coerce_cast_special | assert | complex_expr | 60 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | pandera_dtype.type | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_check.py | test_datatype_check_decorator | assert | complex_expr | 135 | import datetime
import decimal
from unittest import mock
import pytest
from pyspark.sql.functions import col
from pyspark.sql.types import (
ArrayType,
BooleanType,
ByteType,
DateType,
DecimalType,
DoubleType,
FloatType,
IntegerType,
LongType,
MapType,
ShortType,
StringT... | expected["SCHEMA"] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_error.py | test_pyspark_schema_data_checks | assert | complex_expr | 84 | import pyspark.sql.types as T
import pytest
from pyspark.sql.types import StringType
import pandera.pyspark as pa
from pandera.api.base import error_handler
from pandera.errors import SchemaError, SchemaErrorReason
from pandera.pyspark import Column, DataFrameModel, DataFrameSchema, Field
from tests.pyspark.conftest i... | expected["SCHEMA"] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
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