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# For reference, here is a copy of the pandas copyright notice:
# BSD 3-Clause License
# Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
# All rights reserved.
# Copyright (c) 2011-2025, Open source contributors.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from __future__ import annotations
from enum import Enum
from typing import Literal
import pandas as pd
from xarray.core.types import PDDatetimeUnitOptions
def count_not_none(*args) -> int:
"""Compute the number of non-None arguments.
Copied from pandas.core.common.count_not_none (not part of the public API)
"""
return sum(arg is not None for arg in args)
class _NoDefault(Enum):
"""Used by pandas to specify a default value for a deprecated argument.
Copied from pandas._libs.lib._NoDefault.
See also:
- pandas-dev/pandas#30788
- pandas-dev/pandas#40684
- pandas-dev/pandas#40715
- pandas-dev/pandas#47045
"""
no_default = "NO_DEFAULT"
def __repr__(self) -> str:
return "<no_default>"
no_default = (
_NoDefault.no_default
) # Sentinel indicating the default value following pandas
NoDefault = Literal[_NoDefault.no_default] # For typing following pandas
def timestamp_as_unit(date: pd.Timestamp, unit: PDDatetimeUnitOptions) -> pd.Timestamp:
"""Convert the underlying int64 representation to the given unit.
Compatibility function for pandas issue where "as_unit" is not defined
for pandas.Timestamp in pandas versions < 2.2. Can be removed minimum
pandas version is >= 2.2.
"""
if hasattr(date, "as_unit"):
date = date.as_unit(unit)
elif hasattr(date, "_as_unit"):
date = date._as_unit(unit)
return date
def default_precision_timestamp(*args, **kwargs) -> pd.Timestamp:
"""Return a Timestamp object with the default precision.
Xarray default is "ns".
"""
dt = pd.Timestamp(*args, **kwargs)
if dt.unit != "ns":
dt = timestamp_as_unit(dt, "ns")
return dt
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