from pandas.compat._optional import import_optional_dependency

ne = import_optional_dependency("numexpr", errors="warn")
NUMEXPR_INSTALLED = ne is not None
if NUMEXPR_INSTALLED:
    NUMEXPR_VERSION = ne.__version__
else:
    NUMEXPR_VERSION = None


            

Reported by Pylint.

              from pandas.core.arrays.sparse import (
    SparseArray,
    SparseDtype,
)

__all__ = ["SparseArray", "SparseDtype"]

            

Reported by Pylint.

              from __future__ import annotations

_shared_docs: dict[str, str] = {}

_shared_docs[
    "aggregate"
] = """
Aggregate using one or more operations over the specified axis.


            

Reported by Pylint.

              from pandas.core.groupby.generic import (
    DataFrameGroupBy,
    NamedAgg,
    SeriesGroupBy,
)
from pandas.core.groupby.groupby import GroupBy
from pandas.core.groupby.grouper import Grouper

__all__ = [

            

Reported by Pylint.

              from pandas.io.json._json import (
    dumps,
    loads,
    read_json,
    to_json,
)
from pandas.io.json._normalize import (
    _json_normalize,
    json_normalize,

            

Reported by Pylint.

              
// #define VERBOSE
#if defined(VERBOSE)
#define TRACE(X) printf X;
#else
#define TRACE(X)
#endif  // VERBOSE

#define PARSER_OUT_OF_MEMORY -1

            

Reported by FlawFinder.

              from pandas.core.window.ewm import (  # noqa:F401
    ExponentialMovingWindow,
    ExponentialMovingWindowGroupby,
)
from pandas.core.window.expanding import (  # noqa:F401
    Expanding,
    ExpandingGroupby,
)
from pandas.core.window.rolling import (  # noqa:F401

            

Reported by Pylint.

              

@dataclasses.dataclass(order=True, frozen=True)
class OutputKey:
    label: Hashable
    position: int


# special case to prevent duplicate plots when catching exceptions when

            

Reported by Pylint.

              from pandas.tests.extension.decimal.array import (
    DecimalArray,
    DecimalDtype,
    make_data,
    to_decimal,
)

__all__ = ["DecimalArray", "DecimalDtype", "to_decimal", "make_data"]

            

Reported by Pylint.

              import numpy as np


def shift(values: np.ndarray, periods: int, axis: int, fill_value) -> np.ndarray:
    new_values = values

    if periods == 0 or values.size == 0:
        return new_values.copy()


            

Reported by Pylint.