import numpy as np

from pandas._libs.tslibs import fields

import pandas._testing as tm


def test_fields_readonly():
    # https://github.com/vaexio/vaex/issues/357

            

Reported by Pylint.

              import numpy as np

from pandas._libs.tslibs import fields

import pandas._testing as tm


def test_fields_readonly():
    # https://github.com/vaexio/vaex/issues/357

            

Reported by Pylint.

              import pandas._testing as tm


def test_fields_readonly():
    # https://github.com/vaexio/vaex/issues/357
    #  fields functions shouldn't raise when we pass read-only data
    dtindex = np.arange(5, dtype=np.int64) * 10 ** 9 * 3600 * 24 * 32
    dtindex.flags.writeable = False


            

Reported by Pylint.

              RENAME = {"pytables": "tables", "dask-core": "dask"}


def conda_package_to_pip(package: str):
    """
    Convert a conda package to its pip equivalent.

    In most cases they are the same, those are the exceptions:
    - Packages that should be excluded (in `EXCLUDE`)

            

Reported by Pylint.

                  )
    args = argparser.parse_args()

    conda_fname = "environment.yml"
    pip_fname = "requirements-dev.txt"
    repo_path = pathlib.Path(__file__).parent.parent.absolute()
    res = generate_pip_from_conda(
        pathlib.Path(repo_path, conda_fname),
        pathlib.Path(repo_path, pip_fname),

            

Reported by Pylint.

                  args = argparser.parse_args()

    conda_fname = "environment.yml"
    pip_fname = "requirements-dev.txt"
    repo_path = pathlib.Path(__file__).parent.parent.absolute()
    res = generate_pip_from_conda(
        pathlib.Path(repo_path, conda_fname),
        pathlib.Path(repo_path, pip_fname),
        compare=args.compare,

            

Reported by Pylint.

              from pandas import Series
import pandas._testing as tm


def test_pop():
    # GH#6600
    ser = Series([0, 4, 0], index=["A", "B", "C"], name=4)

    result = ser.pop("B")

            

Reported by Pylint.

              import pandas._testing as tm


def test_pop():
    # GH#6600
    ser = Series([0, 4, 0], index=["A", "B", "C"], name=4)

    result = ser.pop("B")
    assert result == 4

            

Reported by Pylint.

                  ser = Series([0, 4, 0], index=["A", "B", "C"], name=4)

    result = ser.pop("B")
    assert result == 4

    expected = Series([0, 0], index=["A", "C"], name=4)
    tm.assert_series_equal(ser, expected)

            

Reported by Bandit.

              """
from io import StringIO

import pytest

from pandas import DataFrame
import pandas._testing as tm



            

Reported by Pylint.

              """,
            ".",
            ",",
        ),
    ],
)
def test_1000_sep_with_decimal(all_parsers, data, thousands, decimal):
    parser = all_parsers
    expected = DataFrame({"A": [1, 10], "B": [2334.01, 13], "C": [5, 10.0]})

            

Reported by Pylint.

                  tm.assert_frame_equal(result, expected)


def test_euro_decimal_format(all_parsers):
    parser = all_parsers
    data = """Id;Number1;Number2;Text1;Text2;Number3
1;1521,1541;187101,9543;ABC;poi;4,738797819
2;121,12;14897,76;DEF;uyt;0,377320872
3;878,158;108013,434;GHI;rez;2,735694704"""

            

Reported by Pylint.

              import pytest

pytestmark = [
    # 2021-02-01 needed until numba updates their usage
    pytest.mark.filterwarnings(
        r"ignore:`np\.int` is a deprecated alias:DeprecationWarning"
    ),
]

            

Reported by Pylint.

              import pytest

pytestmark = [
    # 2021-02-01 needed until numba updates their usage
    pytest.mark.filterwarnings(
        r"ignore:`np\.int` is a deprecated alias:DeprecationWarning"
    ),
]

            

Reported by Pylint.

              import pytest

import pandas._testing as tm


@pytest.fixture
def setup_path():
    """Fixture for setup path"""
    return f"tmp.__{tm.rands(10)}__.h5"

            

Reported by Pylint.

              import pytest

import pandas._testing as tm


@pytest.fixture
def setup_path():
    """Fixture for setup path"""
    return f"tmp.__{tm.rands(10)}__.h5"

            

Reported by Pylint.

              import pytest


@pytest.fixture(params=[True, False])
def sort(request):
    """Boolean sort keyword for concat and DataFrame.append."""
    return request.param

            

Reported by Pylint.

              import pytest


@pytest.fixture(params=[True, False])
def sort(request):
    """Boolean sort keyword for concat and DataFrame.append."""
    return request.param

            

Reported by Pylint.

              import pytest

pytestmark = [
    # fastparquet
    pytest.mark.filterwarnings(
        "ignore:PY_SSIZE_T_CLEAN will be required.*:DeprecationWarning"
    ),
    pytest.mark.filterwarnings(
        "ignore:Block.is_categorical is deprecated:DeprecationWarning"

            

Reported by Pylint.

              import pytest

pytestmark = [
    # fastparquet
    pytest.mark.filterwarnings(
        "ignore:PY_SSIZE_T_CLEAN will be required.*:DeprecationWarning"
    ),
    pytest.mark.filterwarnings(
        "ignore:Block.is_categorical is deprecated:DeprecationWarning"

            

Reported by Pylint.

              
# flake8: noqa

from pandas.tseries.frequencies import infer_freq
import pandas.tseries.offsets as offsets

            

Reported by Pylint.

              # flake8: noqa

from pandas.tseries.frequencies import infer_freq
import pandas.tseries.offsets as offsets

            

Reported by Pylint.

              import pytest


@pytest.mark.parametrize(
    "func",
    [
        "reset_index",
        "_set_name",
        "sort_values",

            

Reported by Pylint.

              import pytest


@pytest.mark.parametrize(
    "func",
    [
        "reset_index",
        "_set_name",
        "sort_values",

            

Reported by Pylint.