Gemfury

flet / pandas python

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pandas / _libs / tslibs / timedeltas.cpython-312-iphonesimulator.so
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úÿÿhéúÿÿh7éöùÿÿh[éìùÿÿh~éâùÿÿhéØùÿÿh«éÎùÿÿhÅéÄùÿÿhÞéºùÿÿh	é°ùÿÿh'é¦ùÿÿhEéùÿÿhcéùÿÿhéùÿÿh¡é~ùÿÿhÃétùÿÿhØéjùÿÿhñé`ùÿÿhéVùÿÿh7éLùÿÿh[éBùÿÿhré8ùÿÿhé.ùÿÿh¸é$ùÿÿhÌéùÿÿhçéùÿÿhéùÿÿh
éüøÿÿhéòøÿÿh+éèøÿÿh:éÞøÿÿhIéÔøÿÿhbéÊøÿÿhqéÀøÿÿhé¶øÿÿ8@ ¬@.Að¿ðÿðøÿøð?@N@eÍÍA@@__ßßNFððÿøøÿßÿÿÿßÿÿÿßÿÿÿßÿÿÿINITnamepandas._libs.tslibs.timedeltasView.MemoryView<stringsource>__reduce____module____doc____name____qualname____dict___is_coroutine: 00>3ASCIIAll dimensions preceding dimension %d must be indexed and not sliced
        Array view compatibility.

        Parameters
        ----------
        dtype : str or dtype
            The dtype to view the underlying data as.

        Examples
        --------
        >>> td = pd.Timedelta('3D')
        >>> td
        Timedelta('3 days 00:00:00')
        >>> td.view(int)
        259200000000000
        AssertionErrorAttributeErrorBuffer view does not expose stridesCan only create a buffer that is contiguous in memory.Cannot assign to read-only memoryviewCannot cast Cannot convert Timedelta to nanoseconds without overflow. Use `.asm8.view('i8')` to cast represent Timedelta in its own unit (here, Cannot create writable memory view from read-only memoryviewCannot index with type 'Cannot pass both a Timedelta input and timedelta keyword arguments, got Cannot round Cannot transpose memoryview with indirect dimensionsComponents
        Convert a pandas Timedelta object into a python ``datetime.timedelta`` object.

        Timedelta objects are internally saved as numpy datetime64[ns] dtype.
        Use to_pytimedelta() to convert to object dtype.

        Returns
        -------
        datetime.timedelta or numpy.array of datetime.timedelta

        See Also
        --------
        to_timedelta : Convert argument to Timedelta type.

        Notes
        -----
        Any nanosecond resolution will be lost.

        Examples
        --------
        >>> td = pd.Timedelta('3D')
        >>> td
        Timedelta('3 days 00:00:00')
        >>> td.to_pytimedelta()
        datetime.timedelta(days=3)
        
        Convert the Timedelta to a NumPy timedelta64.

        This is an alias method for `Timedelta.to_timedelta64()`. The dtype and
        copy parameters are available here only for compatibility. Their values
        will not affect the return value.

        Returns
        -------
        numpy.timedelta64

        See Also
        --------
        Series.to_numpy : Similar method for Series.

        Examples
        --------
        >>> td = pd.Timedelta('3D')
        >>> td
        Timedelta('3 days 00:00:00')
        >>> td.to_numpy()
        numpy.timedelta64(259200000000000,'ns')
        
        Convert the underlying int64 representation to the given unit.

        Parameters
        ----------
        unit : {"ns", "us", "ms", "s"}
        round_ok : bool, default True
            If False and the conversion requires rounding, raise.

        Returns
        -------
        Timedelta

        Examples
        --------
        >>> td = pd.Timedelta('1001ms')
        >>> td
        Timedelta('0 days 00:00:01.001000')
        >>> td.as_unit('s')
        Timedelta('0 days 00:00:01')
        Could not convert 'DDTDimension %d is not directEllipsisEmpty shape tuple for cython.array
        Format the Timedelta as ISO 8601 Duration.

        ``P[n]Y[n]M[n]DT[n]H[n]M[n]S``, where the ``[n]`` s are replaced by the
        values. See https://en.wikipedia.org/wiki/ISO_8601#Durations.

        Returns
        -------
        str

        See Also
        --------
        Timestamp.isoformat : Function is used to convert the given
            Timestamp object into the ISO format.

        Notes
        -----
        The longest component is days, whose value may be larger than
        365.
        Every component is always included, even if its value is 0.
        Pandas uses nanosecond precision, so up to 9 decimal places may
        be included in the seconds component.
        Trailing 0's are removed from the seconds component after the decimal.
        We do not 0 pad components, so it's `...T5H...`, not `...T05H...`

        Examples
        --------
        >>> td = pd.Timedelta(days=6, minutes=50, seconds=3,
        ...                   milliseconds=10, microseconds=10, nanoseconds=12)

        >>> td.isoformat()
        'P6DT0H50M3.010010012S'
        >>> pd.Timedelta(hours=1, seconds=10).isoformat()
        'P0DT1H0M10S'
        >>> pd.Timedelta(days=500.5).isoformat()
        'P500DT12H0M0S'
        FutureWarningHImportErrorIncompatible checksums (0x%x vs (0x82a3537, 0x6ae9995, 0xb068931) = (name))Incompatible checksums (0x%x vs (0xcedc324, 0x7c18eb3, 0x7c5f7a4) = (_creso, _d, _h, _is_populated, _m, _ms, _ns, _s, _us, _value))IndexErrorIndex out of bounds (axis %d)Indirect dimensions not supportedInvalid ISO 8601 Duration format - Invalid dtype Invalid mode, expected 'c' or 'fortran', got Invalid shape in axis Invalid type Invalid type for timedelta scalar: KeyErrorMMINUS_INFTYMemoryError<MemoryView of %r at 0x%x><MemoryView of %r object>MinMaxResoMinMaxReso.__get__MinMaxReso.__init__MinMaxReso.__set__. Must be int or float.NEAREST_HALF_EVENNoneNotImplementedNotImplementedErrorOOnly resolutions 's', 'ms', 'us', 'ns' are supported.OutOfBoundsDatetimeOutOfBoundsTimedeltaOut of bounds on buffer access (axis OverflowErrorPPLUS_INFTY-PPickleError
    Represents a duration, the difference between two dates or times.

    Timedelta is the pandas equivalent of python's ``datetime.timedelta``
    and is interchangeable with it in most cases.

    Parameters
    ----------
    value : Timedelta, timedelta, np.timedelta64, str, or int
    unit : str, default 'ns'
        Denote the unit of the input, if input is an integer.

        Possible values:

        * 'W', or 'D'
        * 'days', or 'day'
        * 'hours', 'hour', 'hr', or 'h'
        * 'minutes', 'minute', 'min', or 'm'
        * 'seconds', 'second', 'sec', or 's'
        * 'milliseconds', 'millisecond', 'millis', 'milli', or 'ms'
        * 'microseconds', 'microsecond', 'micros', 'micro', or 'us'
        * 'nanoseconds', 'nanosecond', 'nanos', 'nano', or 'ns'.

        .. deprecated:: 2.2.0

            Values `H`, `T`, `S`, `L`, `U`, and `N` are deprecated in favour
            of the values `h`, `min`, `s`, `ms`, `us`, and `ns`.

    **kwargs
        Available kwargs: {days, seconds, microseconds,
        milliseconds, minutes, hours, weeks}.
        Values for construction in compat with datetime.timedelta.
        Numpy ints and floats will be coerced to python ints and floats.

    Notes
    -----
    The constructor may take in either both values of value and unit or
    kwargs as above. Either one of them must be used during initialization

    The ``.value`` attribute is always in ns.

    If the precision is higher than nanoseconds, the precision of the duration is
    truncated to nanoseconds.

    Examples
    --------
    Here we initialize Timedelta object with both value and unit

    >>> td = pd.Timedelta(1, "d")
    >>> td
    Timedelta('1 days 00:00:00')

    Here we initialize the Timedelta object with kwargs

    >>> td2 = pd.Timedelta(days=1)
    >>> td2
    Timedelta('1 days 00:00:00')

    We see that either way we get the same result
    
        Return a new Timedelta ceiled to this resolution.

        Parameters
        ----------
        freq : str
            Frequency string indicating the ceiling resolution.
            It uses the same units as class constructor :class:`~pandas.Timedelta`.

        Examples
        --------
        >>> td = pd.Timedelta('1001ms')
        >>> td
        Timedelta('0 days 00:00:01.001000')
        >>> td.ceil('s')
        Timedelta('0 days 00:00:02')
        
        Return a new Timedelta floored to this resolution.

        Parameters
        ----------
        freq : str
            Frequency string indicating the flooring resolution.
            It uses the same units as class constructor :class:`~pandas.Timedelta`.

        Examples
        --------
        >>> td = pd.Timedelta('1001ms')
        >>> td
        Timedelta('0 days 00:00:01.001000')
        >>> td.floor('s')
        Timedelta('0 days 00:00:01')
        
        Return a numpy.timedelta64 object with 'ns' precision.

        Examples
        --------
        >>> td = pd.Timedelta('3D')
        >>> td
        Timedelta('3 days 00:00:00')
        >>> td.to_timedelta64()
        numpy.timedelta64(259200000000000,'ns')
        RoundTo
        Round the Timedelta to the specified resolution.

        Parameters
        ----------
        freq : str
            Frequency string indicating the rounding resolution.
            It uses the same units as class constructor :class:`~pandas.Timedelta`.

        Returns
        -------
        a new Timedelta rounded to the given resolution of `freq`

        Raises
        ------
        ValueError if the freq cannot be converted

        Examples
        --------
        >>> td = pd.Timedelta('1001ms')
        >>> td
        Timedelta('0 days 00:00:01.001000')
        >>> td.round('s')
        Timedelta('0 days 00:00:01')
        RuntimeErrorRuntimeWarningSSequenceStep may not be zero (axis %d)Time zones are not available from the C-API.TimedeltaTimedelta('_TimedeltaTimedelta.__divmod__Timedelta.__floordiv__Timedelta.__mod__Timedelta.__mul__Timedelta.__new__Timedelta.__rdivmod__Timedelta.__reduce___Timedelta.__reduce_cython__Timedelta.__rfloordiv__Timedelta.__rmod__Timedelta.__rtruediv__Timedelta.__setstate___Timedelta.__setstate_cython__Timedelta.__truediv___Timedelta._from_value_and_reso_Timedelta._maybe_cast_to_matching_resos_Timedelta._repr_baseTimedelta._round_Timedelta.as_unit_Timedelta.as_unit (line 1647)_Timedelta.asm8.__get__ (line 1401)Timedelta.ceilTimedelta.ceil (line 1993)_Timedelta.components.__get__ (line 1384)_Timedelta.days.__get__ (line 1057)Timedelta.floorTimedelta.floor (line 1973)_Timedelta.isoformat_Timedelta.isoformat (line 1590)Timedelta.<lambda>_Timedelta.nanoseconds.__get__ (line 1494)_Timedelta.resolution_string.__get__ (line 1436)Timedelta.roundTimedelta.round (line 1945)_Timedelta.seconds.__get__ (line 1081)_Timedelta.to_numpyTimedelta.to_numpy dtype and copy arguments are ignored_Timedelta.to_numpy (line 1335)_Timedelta.to_pytimedelta_Timedelta.to_pytimedelta (line 1281)_Timedelta.to_timedelta64_Timedelta.to_timedelta64 (line 1317)_Timedelta.total_seconds_Timedelta.total_seconds (line 1126)_Timedelta.view_Timedelta.view (line 1365)Timestamp
        Total seconds in the duration.

        Examples
        --------
        >>> td = pd.Timedelta('1min')
        >>> td
        Timedelta('0 days 00:01:00')
        >>> td.total_seconds()
        60.0
        TypeErrorUnable to convert item to objectUnit Units 'M', 'Y', and 'y' are no longer supported, as they do not represent unambiguous timedelta values durations.Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and are not supported./Users/appveyor/projects/mobile-forge/build/cp312/pandas/2.2.3/pandas/_libs/tslibs/timedeltas.pyxValueErrorValue must be Timedelta, string, integer, float, timedelta or convertible, not W
    We need to define min/max/resolution on both the Timedelta _instance_
    and Timedelta class.  On an instance, these depend on the object's _reso.
    On the class, we default to the values we would get with nanosecond _reso.
    Y ,.+-:*'.). +')]?)abbrevabc__abs____add__allallocate_buffer and anyargsarrarray__array_priority__array_to_timedelta64 'values' must have object dtype_asdictastypeasyncio.coroutines_binary_op_method_timedeltalike.<locals>.fboxcannot construct a Timedelta from the passed arguments, allowed keywords are [weeks, days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds]cannot construct a Timedelta without a value/unit or descriptive keywords (days,seconds....)catch_warnings__class____class_getitem__cline_in_tracebackclscoercecollectionscollections.abccomp_dict<contiguous and direct><contiguous and indirect>countcresodday{days} days{days} days{sign}{hours:02}:{minutes:02}:{seconds:02}.{milliseconds:03}{microseconds:03}{nanoseconds:03}{days} days{sign}{hours:02}:{minutes:02}:deltadelta_to_nanoseconds does not support Y or M units, as their duration in nanoseconds is ambiguous._dictdifference_updatedisabledivdtype_is_objectemptyenableencode__enter__enumerateerrerrorerrors must be one of {'ignore', 'raise', or 'coerce'}__exit__expected hh:mm:ss formatexpected hh:mm:ss format before .expecting hh:mm:ss format, received: f8filterwarningsfind_stack_levelflagsfloatfmt for __floordiv__freq from gc__getstate__ (got got differing extents in dimension h__hash__have leftover unitshourhours{hours:02}:{minutes:02}:hrii8idignoreiinfo__import__index__init_subclass___initializing' instead of 'int64intersectioninvalid unit abbreviation: invalid value encountered in floor_divide' is deprecated and will be removed in a future version. Please use ' is not settable. is not supported. Only unambiguous timedelta values durations are supported. Allowed units are 'W', 'D', 'h', 'm', 's', 'ms', 'us', 'ns'isenabledititemitemsize <= 0 for cython.arrayiufivalkeykeyskindkwargslonglowermm8[m8[ns]mM__main__maskmax__metaclass__mimicromicrosmicrosecond_microseconds, microseconds=millimillismillisecondmilliseconds, milliseconds=minminuteminutesmode__mro_entries__msmsgn_namenamedtuplenannanonanosnanosecond{nanoseconds:03}, nanoseconds=__neg__new_resonew_valueno default __reduce__ due to non-trivial __cinit___no_inputno units specifiednpnp.timedelta64nsnumpy._core.multiarray failed to importnumpy._core.umath failed to importobjobjectobject_stateonesonly leading negative signs are allowed_op_unary_method.<locals>.fpackpandas._libs.tslibs.fieldspandas.util._exceptionsparsed_unitpickle__pos____prepare____pyx_PickleError__pyx_checksum__pyx_result__pyx_state__pyx_type__pyx_vtable____radd__raiserangeravel__reduce_ex__register_req_any_kwargs_newresres_flatres_valres_valueresoresolutionreturn__rmul__round_nsint64round_okrstrip__rsub__µssecsecond{seconds:02}{seconds:02}.{milliseconds:03}{microseconds:03}_secondsseconds=seconds_fmtself__set_name__sign__spec__stacklevelstartstatestepstopstr<strided and direct><strided and direct or indirect><strided and indirect>struct__sub__sub_daysubssupersymbols w/o a numbersystdtd64__test__timedelta64timedelta64[ns]' to NumPy timedelta to freq= to 'ns' without overflow.to_offset to unit= to unit='tplunable to allocate array data.unable to allocate shape and strides.unit abbreviation w/o a numberunit must not be specified if the input contains a strunit must not be specified if the value is a strunpackunsupported_kwargsupdateususe_setstatevalversion_infowwarnwarningsweeks without overflow.' without overflow. without overflowxyzerosget_unit_for_rounddelta_to_nanosecondsgetto_pytimedeltas_maybe_cast_to_matching_resosothertotal_seconds
        Total seconds in the duration.

        Examples
        --------
        >>> td = pd.Timedelta('1min')
        >>> td
        Timedelta('0 days 00:01:00')
        >>> td.total_seconds()
        60.0
        to_timedelta64
        Return a numpy.timedelta64 object with 'ns' precision.

        Examples
        --------
        >>> td = pd.Timedelta('3D')
        >>> td
        Timedelta('3 days 00:00:00')
        >>> td.to_timedelta64()
        numpy.timedelta64(259200000000000,'ns')
        to_numpy
        Convert the Timedelta to a NumPy timedelta64.

        This is an alias method for `Timedelta.to_timedelta64()`. The dtype and
        copy parameters are available here only for compatibility. Their values
        will not affect the return value.

        Returns
        -------
        numpy.timedelta64

        See Also
        --------
        Series.to_numpy : Similar method for Series.

        Examples
        --------
        >>> td = pd.Timedelta('3D')
        >>> td
        Timedelta('3 days 00:00:00')
        >>> td.to_numpy()
        numpy.timedelta64(259200000000000,'ns')
        view
        Array view compatibility.

        Parameters
        ----------
        dtype : str or dtype
            The dtype to view the underlying data as.

        Examples
        --------
        >>> td = pd.Timedelta('3D')
        >>> td
        Timedelta('3 days 00:00:00')
        >>> td.view(int)
        259200000000000
        _repr_base

        Parameters
        ----------
        format : None|all|sub_day|long

        Returns
        -------
        converted : string of a Timedelta

        isoformat
        Format the Timedelta as ISO 8601 Duration.

        ``P[n]Y[n]M[n]DT[n]H[n]M[n]S``, where the ``[n]`` s are replaced by the
        values. See https://en.wikipedia.org/wiki/ISO_8601#Durations.

        Returns
        -------
        str

        See Also
        --------
        Timestamp.isoformat : Function is used to convert the given
            Timestamp object into the ISO format.

        Notes
        -----
        The longest component is days, whose value may be larger than
        365.
        Every component is always included, even if its value is 0.
        Pandas uses nanosecond precision, so up to 9 decimal places may
        be included in the seconds component.
        Trailing 0's are removed from the seconds component after the decimal.
        We do not 0 pad components, so it's `...T5H...`, not `...T05H...`

        Examples
        --------
        >>> td = pd.Timedelta(days=6, minutes=50, seconds=3,
        ...                   milliseconds=10, microseconds=10, nanoseconds=12)

        >>> td.isoformat()
        'P6DT0H50M3.010010012S'
        >>> pd.Timedelta(hours=1, seconds=10).isoformat()
        'P0DT1H0M10S'
        >>> pd.Timedelta(days=500.5).isoformat()
        'P500DT12H0M0S'
        _from_value_and_resoas_unit
        Convert the underlying int64 representation to the given unit.

        Parameters
        ----------
        unit : {"ns", "us", "ms", "s"}
        round_ok : bool, default True
            If False and the conversion requires rounding, raise.

        Returns
        -------
        Timedelta

        Examples
        --------
        >>> td = pd.Timedelta('1001ms')
        >>> td
        Timedelta('0 days 00:00:01.001000')
        >>> td.as_unit('s')
        Timedelta('0 days 00:00:01')
        __reduce_cython____setstate_cython__unitvaluedays
        Returns the days of the timedelta.

        Returns
        -------
        int

        Examples
        --------
        >>> td = pd.Timedelta(1, "d")
        >>> td.days
        1

        >>> td = pd.Timedelta('4 min 3 us 42 ns')
        >>> td.days
        0
        seconds
        Return the total hours, minutes, and seconds of the timedelta as seconds.

        Timedelta.seconds = hours * 3600 + minutes * 60 + seconds.

        Returns
        -------
        int
            Number of seconds.

        See Also
        --------
        Timedelta.components : Return all attributes with assigned values
            (i.e. days, hours, minutes, seconds, milliseconds, microseconds,
            nanoseconds).
        Timedelta.total_seconds : Express the Timedelta as total number of seconds.

        Examples
        --------
        **Using string input**

        >>> td = pd.Timedelta('1 days 2 min 3 us 42 ns')
        >>> td.seconds
        120

        **Using integer input**

        >>> td = pd.Timedelta(42, unit='s')
        >>> td.seconds
        42
        microsecondscomponents
        Return a components namedtuple-like.

        Examples
        --------
        >>> td = pd.Timedelta('2 day 4 min 3 us 42 ns')
        >>> td.components
        Components(days=2, hours=0, minutes=4, seconds=0, milliseconds=0,
            microseconds=3, nanoseconds=42)
        asm8
        Return a numpy timedelta64 array scalar view.

        Provides access to the array scalar view (i.e. a combination of the
        value and the units) associated with the numpy.timedelta64().view(),
        including a 64-bit integer representation of the timedelta in
        nanoseconds (Python int compatible).

        Returns
        -------
        numpy timedelta64 array scalar view
            Array scalar view of the timedelta in nanoseconds.

        Examples
        --------
        >>> td = pd.Timedelta('1 days 2 min 3 us 42 ns')
        >>> td.asm8
        numpy.timedelta64(86520000003042,'ns')

        >>> td = pd.Timedelta('2 min 3 s')
        >>> td.asm8
        numpy.timedelta64(123000000000,'ns')

        >>> td = pd.Timedelta('3 ms 5 us')
        >>> td.asm8
        numpy.timedelta64(3005000,'ns')

        >>> td = pd.Timedelta(42, unit='ns')
        >>> td.asm8
        numpy.timedelta64(42,'ns')
        
        Return a string representing the lowest timedelta resolution.

        Each timedelta has a defined resolution that represents the lowest OR
        most granular level of precision. Each level of resolution is
        represented by a short string as defined below:

        Resolution:     Return value

        * Days:         'D'
        * Hours:        'h'
        * Minutes:      'min'
        * Seconds:      's'
        * Milliseconds: 'ms'
        * Microseconds: 'us'
        * Nanoseconds:  'ns'

        Returns
        -------
        str
            Timedelta resolution.

        Examples
        --------
        >>> td = pd.Timedelta('1 days 2 min 3 us 42 ns')
        >>> td.resolution_string
        'ns'

        >>> td = pd.Timedelta('1 days 2 min 3 us')
        >>> td.resolution_string
        'us'

        >>> td = pd.Timedelta('2 min 3 s')
        >>> td.resolution_string
        's'

        >>> td = pd.Timedelta(36, unit='us')
        >>> td.resolution_string
        'us'
        nanoseconds
        Return the number of nanoseconds (n), where 0 <= n < 1 microsecond.

        Returns
        -------
        int
            Number of nanoseconds.

        See Also
        --------
        Timedelta.components : Return all attributes with assigned values
            (i.e. days, hours, minutes, seconds, milliseconds, microseconds,
            nanoseconds).

        Examples
        --------
        **Using string input**

        >>> td = pd.Timedelta('1 days 2 min 3 us 42 ns')

        >>> td.nanoseconds
        42

        **Using integer input**

        >>> td = pd.Timedelta(42, unit='ns')
        >>> td.nanoseconds
        42
        _value_cresomemviewshapeformat00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899__init__copycfortranTbasendimitemsizesizetypenumpydtypendarraypandas._libs.tslibs.offsetspandas._libs.tslibs.timestampspandas._libs.tslibs.np_datetime__pyx_unpickle_Enumints_to_pytimedelta
    convert an i8 repr to an ndarray of timedelta or Timedelta (if box ==
    True)

    Parameters
    ----------
    arr : ndarray[timedelta64]
    box : bool, default False

    Returns
    -------
    result : ndarray[object]
        array of Timedelta or timedeltas objects
    m8values'array_to_timedelta64
    Convert an ndarray to an array of timedeltas. If errors == 'coerce',
    coerce non-convertible objects to NaT. Otherwise, raise.

    Returns
    -------
    np.ndarray[timedelta64ns]
    valueserrorsparse_timedelta_unit
    Parameters
    ----------
    unit : str or None

    Returns
    -------
    str
        Canonical unit string.

    Raises
    ------
    ValueError : on non-parseable input
    _op_unary_methodffunc_binary_op_method_timedeltalikeopdisallow_ambiguous_unit_timedelta_unpickle__get____set__
        Convert a pandas Timedelta object into a python ``datetime.timedelta`` object.

        Timedelta objects are internally saved as numpy datetime64[ns] dtype.
        Use to_pytimedelta() to convert to object dtype.

        Returns
        -------
        datetime.timedelta or numpy.array of datetime.timedelta

        See Also
        --------
        to_timedelta : Convert argument to Timedelta type.

        Notes
        -----
        Any nanosecond resolution will be lost.

        Examples
        --------
        >>> td = pd.Timedelta('3D')
        >>> td
        Timedelta('3 days 00:00:00')
        >>> td.to_pytimedelta()
        datetime.timedelta(days=3)
        
        If _resos do not match, cast to the higher resolution, raising on overflow.
        __new____setstate___roundround
        Round the Timedelta to the specified resolution.

        Parameters
        ----------
        freq : str
            Frequency string indicating the rounding resolution.
            It uses the same units as class constructor :class:`~pandas.Timedelta`.

        Returns
        -------
        a new Timedelta rounded to the given resolution of `freq`

        Raises
        ------
        ValueError if the freq cannot be converted

        Examples
        --------
        >>> td = pd.Timedelta('1001ms')
        >>> td
        Timedelta('0 days 00:00:01.001000')
        >>> td.round('s')
        Timedelta('0 days 00:00:01')
        floor
        Return a new Timedelta floored to this resolution.

        Parameters
        ----------
        freq : str
            Frequency string indicating the flooring resolution.
            It uses the same units as class constructor :class:`~pandas.Timedelta`.

        Examples
        --------
        >>> td = pd.Timedelta('1001ms')
        >>> td
        Timedelta('0 days 00:00:01.001000')
        >>> td.floor('s')
        Timedelta('0 days 00:00:01')
        ceil
        Return a new Timedelta ceiled to this resolution.

        Parameters
        ----------
        freq : str
            Frequency string indicating the ceiling resolution.
            It uses the same units as class constructor :class:`~pandas.Timedelta`.

        Examples
        --------
        >>> td = pd.Timedelta('1001ms')
        >>> td
        Timedelta('0 days 00:00:01.001000')
        >>> td.ceil('s')
        Timedelta('0 days 00:00:02')
        __mul____truediv____rtruediv____floordiv__result__rfloordiv____mod____rmod____divmod____rdivmod__truediv_object_arrayleftrightfloordiv_object_array__pyx_unpickle__Timedeltatimedeltasloader__loader__origin__file__parent__package__submodule_search_locations__path__Interpreter change detected - this module can only be loaded into one interpreter per process.Module 'timedeltas' has already been imported. Re-initialisation is not supported.builtinscython_runtime__builtins____orig_bases__init pandas._libs.tslibs.timedeltastimedeltas.pyx__init__.cython-30.pxdutil.pxdtimedeltas.pxdcompile time Python version %d.%d of module '%.100s' %s runtime version %d.%ddoes not match_cython_3_0_12Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling_cython_3_0_12.cython_function_or_method<cyfunction %U at %p>unbound method %.200S() needs an argumentkeywords must be strings%.200s() takes no arguments (%zd given)%.200s() takes exactly one argument (%zd given)Bad call flags for CyFunction%.200s() takes no keyword argumentsfunc_docfunc_namefunc_dictfunc_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations____name__ must be set to a string object__qualname__ must be set to a string objectfunction's dictionary may not be deletedsetting function's dictionary to a non-dict__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function calls__annotations__ must be set to a dict object__debug__name '%U' is not defined__pyx_t_5numpy_int64_t (PyObject *, NPY_DATETIMEUNIT, int __pyx_skip_dispatch)__pyx_t_5numpy_int64_t (PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_6pandas_5_libs_6tslibs_10timedeltas_delta_to_nanoseconds *__pyx_optional_args)convert_to_timedelta64PyObject *(PyObject *, PyObject *)is_any_td_scalarint (PyObject *)__pyx_capi__pandas._libs.tslibs.timedeltas.get_unit_for_roundpandas._libs.tslibs.timedeltas.delta_to_nanosecondsintan integer is required__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__%.4s__ returned non-%.4s (type %.200s)value too large to convert to NPY_DATETIMEUNITinstance exception may not have a separate valuecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionexception causes must derive from BaseExceptionjoin() result is too long for a Python stringunicodepandas._libs.tslibs.timedeltas.convert_to_timedelta64value too largepandas._libs.tslibs.timedeltas.ensure_td64nspandas._libs.tslibs.timedeltas._maybe_cast_from_unit'%.200s' object is unsliceableExpected %s, got %.200s'NoneType' object is not subscriptable'NoneType' is not iterable'NoneType' object has no attribute '%.30s'replacepandas._libs.tslibs.timedeltas.parse_iso_format_stringstring index out of rangeonly single character unicode strings can be converted to Py_UCS4, got length %zdord() expected string of length 1, but %.200s foundord() expected a character, but string of length %zd foundpandas._libs.tslibs.timedeltas.timedelta_from_spec'NoneType' object is not iterablepandas._libs.tslibs.timedeltas.parse_timedelta_unitCythonUnboundCMethodstrings are too large to concatobject of type 'NoneType' has no len()pandas._libs.tslibs.timedeltas.parse_timedelta_stringpandas._libs.tslibs.timedeltas.is_any_td_scalardatetimetimedelta%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectpandas._libs.tslibs.timedeltas._Timedelta.to_pytimedeltaat leastat mostexactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'Missing type objectCannot convert %.200s to %.200spandas._libs.tslibs.timedeltas._Timedelta._has_nspandas._libs.tslibs.timedeltas._Timedelta._is_in_pytimedelta_boundspandas._libs.tslibs.timedeltas._Timedelta._ensure_componentspandas._libs.tslibs.timedeltas._Timedelta._compare_mismatched_resosvalue too large to convert to intpandas._libs.tslibs.timedeltas._Timedelta._as_cresopandas._libs.tslibs.timedeltas._Timedelta._maybe_cast_to_matching_resos%s() got multiple values for keyword argument '%U'Argument '%.200s' has incorrect type (expected %.200s, got %.200s)pandas._libs.tslibs.timedeltas._Timedeltapandas._libs.tslibs.timedeltas._Timedelta.__repr__pandas._libs.tslibs.timedeltas._Timedelta.__hash__pandas._libs.tslibs.timedeltas._Timedelta.__str__pandas._libs.tslibs.timedeltas._Timedelta.__richcmp__otslocal variable '%s' referenced before assignment__repr__pandas._libs.tslibs.timedeltas._Timedelta.total_secondspandas._libs.tslibs.timedeltas._Timedelta.to_timedelta64pandas._libs.tslibs.timedeltas._Timedelta.to_numpypandas._libs.tslibs.timedeltas._Timedelta.viewpandas._libs.tslibs.timedeltas._Timedelta._repr_basedictpandas._libs.tslibs.timedeltas._Timedelta.isoformatpandas._libs.tslibs.timedeltas._Timedelta._from_value_and_resopandas._libs.tslibs.timedeltas._timedelta_from_value_and_resopandas._libs.tslibs.timedeltas._Timedelta.as_unitpandas._libs.tslibs.timedeltas._Timedelta.__reduce_cython__pandas._libs.tslibs.timedeltas._Timedelta.__setstate_cython__tuplepandas._libs.tslibs.timedeltas.__pyx_unpickle__Timedelta__set_statehasattr(): attribute name must be string_unit
        The abbreviation associated with self._creso.
        resolution_string_is_populated_d_h_m_s_ms_us_nspandas._libs.tslibs.timedeltas._Timedelta.value.__get__pandas._libs.tslibs.timedeltas._Timedelta._unit.__get__pandas._libs.tslibs.timedeltas._Timedelta.days.__get__pandas._libs.tslibs.timedeltas._Timedelta.seconds.__get__pandas._libs.tslibs.timedeltas._Timedelta.microseconds.__get__pandas._libs.tslibs.timedeltas._Timedelta.unit.__get__pandas._libs.tslibs.timedeltas._Timedelta.components.__get__pandas._libs.tslibs.timedeltas._Timedelta.asm8.__get__pandas._libs.tslibs.timedeltas._Timedelta.resolution_string.__get__pandas._libs.tslibs.timedeltas._Timedelta.nanoseconds.__get__pandas._libs.tslibs.timedeltas._Timedelta._value.__get__pandas._libs.tslibs.timedeltas._Timedelta._d.__get__pandas._libs.tslibs.timedeltas._Timedelta._h.__get__pandas._libs.tslibs.timedeltas._Timedelta._m.__get__pandas._libs.tslibs.timedeltas._Timedelta._s.__get__pandas._libs.tslibs.timedeltas._Timedelta._ms.__get__pandas._libs.tslibs.timedeltas._Timedelta._us.__get__pandas._libs.tslibs.timedeltas._Timedelta._ns.__get__pandas._libs.tslibs.timedeltas._Timedelta._creso.__get__inheritance from PyVarObject types like '%.200s' not currently supportedbase class '%.200s' is not a heap typeextension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base typemultiple bases have vtable conflict: '%.200s' and '%.200s'invalid vtable found for imported typeUnable to initialize pickling for %.200spandas._libs.tslibs.timedeltas.__pyx_scope_struct___op_unary_methodpandas._libs.tslibs.timedeltas.__pyx_scope_struct_1__binary_op_method_timedeltalikeView.MemoryView.array.get_memviewpandas._libs.tslibs.timedeltas.arrayView.MemoryView.array.__getitem__cannot fit '%.200s' into an index-sized integer'%.200s' object is not subscriptableSubscript deletion not supported by %.200sView.MemoryView.array.__setitem__View.MemoryView.array.__getattr__PyObject_GetBuffer: view==NULL argument is obsoleteView.MemoryView.array.__getbuffer____getattr__View.MemoryView.array.__reduce_cython__View.MemoryView.array.__setstate_cython__View.MemoryView.array.memview.__get____cinit__View.MemoryView.array.__cinit__Argument '%.200s' must not be Nonebytesexpected bytes, NoneType foundinteger division or modulo by zerovalue too large to perform divisionView.MemoryView._allocate_bufferpandas._libs.tslibs.timedeltas.EnumView.MemoryView.Enum.__reduce_cython__View.MemoryView.Enum.__setstate_cython__View.MemoryView.__pyx_unpickle_Enum__set_stateView.MemoryView.Enum.__init__View.MemoryView.memoryview.get_item_pointerView.MemoryView.pybuffer_indexView.MemoryView.memoryview.is_sliceView.MemoryView.memoryview.setitem_slice_assignmentView.MemoryView.get_slice_from_memviewView.MemoryView.memoryview_copy_contentsView.MemoryView._err_extentsView.MemoryView._err_dimView.MemoryView.copy_data_to_tempView.MemoryView._err_no_memoryView.MemoryView.transpose_memsliceView.MemoryView._errView.MemoryView.memoryview.setitem_slice_assign_scalarView.MemoryView.assert_direct_dimensionsView.MemoryView.memoryview.setitem_indexedView.MemoryView.memoryview.convert_item_to_objectbyte string is too longView.MemoryView.memoryview.assign_item_from_objectpandas._libs.tslibs.timedeltas.memoryviewView.MemoryView.memoryview.__repr__View.MemoryView.memoryview.__getitem__View.MemoryView._unellipsifytoo many values to unpack (expected %zd)need more than %zd value%.1s to unpackmemviewsliceobjView.MemoryView.memview_sliceView.MemoryView.slice_memviewsliceView.MemoryView.memoryview_fromsliceAcquisition count is %d (line %d)__pyx_fatalerrorView.MemoryView.memoryview.__setitem__View.MemoryView.memoryview.__str__View.MemoryView.memoryview.__getbuffer__is_c_contigis_f_contigcopy_fortranView.MemoryView.memoryview.is_c_contigView.MemoryView.memoryview.is_f_contigView.MemoryView.memoryview.copyCannot copy memoryview slice with indirect dimensions (axis %d)View.MemoryView.array_cwrapperView.MemoryView.memoryview_cwrappermemviewslice is already initialized!View.MemoryView.memoryview_copy_from_sliceView.MemoryView.memoryview.copy_fortranView.MemoryView.memoryview.__reduce_cython__View.MemoryView.memoryview.__setstate_cython__stridessuboffsetsnbytesView.MemoryView.memoryview.T.__get__View.MemoryView.memoryview_copyView.MemoryView.memoryview.base.__get__View.MemoryView.memoryview.shape.__get__View.MemoryView.memoryview.strides.__get__View.MemoryView.memoryview.suboffsets.__get__View.MemoryView.memoryview.ndim.__get__View.MemoryView.memoryview.itemsize.__get__View.MemoryView.memoryview.nbytes.__get__View.MemoryView.memoryview.size.__get__View.MemoryView.memoryview.__cinit__View.MemoryView._memoryviewslice.convert_item_to_objectView.MemoryView._memoryviewslice.assign_item_from_objectpandas._libs.tslibs.timedeltas._memoryviewsliceInternal class for passing memoryview slices to PythonView.MemoryView._memoryviewslice.__reduce_cython__View.MemoryView._memoryviewslice.__setstate_cython__datetimetzinfoflatiterbroadcastgenericnumberintegersignedintegerunsignedintegerinexactfloatingcomplexfloatingflexiblecharacterufuncpandas._libs.missingC_NATypepandas._libs.tslibs.baseABCTimestampBaseOffset_Timestamppandas._libs.tslibs.conversion_TSObjectpandas._libs.tslibs.dtypesPeriodDtypeBasepandas._libs.tslibs.nattype_NaTC_NAstruct __pyx_obj_6pandas_5_libs_7missing_C_NAType *pandas._libs.tslibs.timezonesutc_stdlibPyDateTime_TZInfo *c_OFFSET_TO_PERIOD_FREQSTRPyObject *c_OFFSET_DEPR_FREQSTRc_REVERSE_OFFSET_DEPR_FREQSTRc_DEPR_ABBREVSattrname_to_abbrevsnpy_unit_to_attrnameattrname_to_npy_unitNPY_NAT__pyx_t_5numpy_int64_tc_nat_stringsc_NaTstruct __pyx_obj_6pandas_5_libs_6tslibs_7nattype__NaT *%.200s does not export expected C variable %.200sC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)cmp_scalarint (__pyx_t_5numpy_int64_t, __pyx_t_5numpy_int64_t, int)get_datetime64_unitNPY_DATETIMEUNIT (PyObject *)get_unit_from_dtypeNPY_DATETIMEUNIT (PyArray_Descr *)cmp_dtstructsint (npy_datetimestruct *, npy_datetimestruct *, int)convert_reso__pyx_t_5numpy_int64_t (__pyx_t_5numpy_int64_t, NPY_DATETIMEUNIT, NPY_DATETIMEUNIT, int)checknull_with_nat_and_nais_tick_objecttz_compareint (PyDateTime_TZInfo *, PyDateTime_TZInfo *, int __pyx_skip_dispatch)cast_from_unit__pyx_t_5numpy_int64_t (PyObject *, PyObject *, struct __pyx_opt_args_6pandas_5_libs_6tslibs_10conversion_cast_from_unit *__pyx_optional_args)precision_from_unit__pyx_ctuple_5numpy__dunder_pyx_t_5numpy_int64_t__and_int (NPY_DATETIMEUNIT, struct __pyx_opt_args_6pandas_5_libs_6tslibs_10conversion_precision_from_unit *__pyx_optional_args)npy_unit_to_abbrevPyObject *(NPY_DATETIMEUNIT)get_supported_resoNPY_DATETIMEUNIT (NPY_DATETIMEUNIT)is_supported_unitint (NPY_DATETIMEUNIT)checknull_with_nat%.200s does not export expected C function %.200sC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s) while calling a Python objectNULL result without error in PyObject_Call%s (%s:%d)pandas/_libs/tslibs/timedeltas.cpython-312-iphonesimulator.so.p/pandas/_libs/tslibs/timedeltas.pyx.cView.MemoryView.__pyx_unpickle_Enumcannot import name %Snumpy.import_arraynumpy._core._multiarray_umathnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is not PyCapsule object_ARRAY_API is NULL pointermodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule was compiled against NumPy C-API version 0x%x (NumPy 1.20) but the running NumPy has C-API version 0x%x. Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem.FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimedatetime.datetime_CAPIpandas._pandas_datetime_CAPI%.200s() needs an argumentpandas._libs.tslibs.timedeltas.ints_to_pytimedeltaBuffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zu byte%s) does not match size of '%s' (%zu byte%s)buffer dtypeBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'endBuffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s''bool''char''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''complex float''float''complex double''double''complex long double''long double'a structPython objecta pointera stringunparsable format stringExpected a dimension of size %zu, got %zuExpected %d dimensions, got %dBuffer dtype mismatch; next field is at offset %zd but %zd expectedPython does not define a standard format string size for long double ('g')..Unexpected format string character: '%c'Cannot handle repeated arrays in format stringExpected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Does not understand character buffer dtype format string ('%c')Buffer and memoryview are not contiguous in the same dimension.Buffer exposes suboffsets but no stridesBuffer not compatible with direct access in dimension %d.Buffer not C contiguous.pandas._libs.tslibs.timedeltas.array_to_timedelta64numpy.PyArray_MultiIterNew2pandas._libs.tslibs.timedeltas._item_to_timedelta64_fastpathpandas._libs.tslibs.timedeltas._item_to_timedelta64pandas._libs.tslibs.timedeltas._op_unary_methodpandas._libs.tslibs.timedeltas._op_unary_method.ffree variable '%s' referenced before assignment in enclosing scopepandas._libs.tslibs.timedeltas._binary_op_method_timedeltalikepandas._libs.tslibs.timedeltas._binary_op_method_timedeltalike.fpandas._libs.tslibs.timedeltas._validate_ops_compatpandas._libs.tslibs.timedeltas.disallow_ambiguous_unitpandas._libs.tslibs.timedeltas._timedelta_unpicklepandas._libs.tslibs.timedeltas.MinMaxReso.__init__pandas._libs.tslibs.timedeltas.MinMaxReso.__get__pandas._libs.tslibs.timedeltas.MinMaxReso.__set____mro_entries__ must return a tuplemetaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its basespandas._libs.tslibs.timedeltas.Timedelta.__new__dictionary changed size during iterationpandas._libs.tslibs.timedeltas._to_py_int_floatpandas._libs.tslibs.timedeltas.__defaults__pandas._libs.tslibs.timedeltas.Timedelta.__setstate__pandas._libs.tslibs.timedeltas.Timedelta.__reduce__pandas._libs.tslibs.timedeltas.Timedelta._roundItem size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)int64_tpandas._libs.tslibs.timedeltas.Timedelta.roundpandas._libs.tslibs.timedeltas.Timedelta.floorpandas._libs.tslibs.timedeltas.Timedelta.ceillambdapandas._libs.tslibs.timedeltas.Timedelta.lambdalambda1pandas._libs.tslibs.timedeltas.Timedelta.lambda1lambda2pandas._libs.tslibs.timedeltas.Timedelta.lambda2lambda3pandas._libs.tslibs.timedeltas.Timedelta.lambda3lambda4pandas._libs.tslibs.timedeltas.Timedelta.lambda4lambda5pandas._libs.tslibs.timedeltas.Timedelta.lambda5lambda6pandas._libs.tslibs.timedeltas.Timedelta.lambda6pandas._libs.tslibs.timedeltas.Timedelta.__mul__pandas._libs.tslibs.util.is_nanpandas._libs.tslibs.timedeltas.Timedelta.__truediv__pandas._libs.tslibs.timedeltas._should_cast_to_timedeltapandas._libs.tslibs.timedeltas.Timedelta.__rtruediv__pandas._libs.tslibs.timedeltas.Timedelta.__floordiv__pandas._libs.tslibs.timedeltas.Timedelta.__rfloordiv__pandas._libs.tslibs.timedeltas.Timedelta.__mod__pandas._libs.tslibs.timedeltas.Timedelta.__rmod__pandas._libs.tslibs.timedeltas.Timedelta.__divmod__pandas._libs.tslibs.timedeltas.Timedelta.__rdivmod__pandas._libs.tslibs.timedeltas.truediv_object_arrayOut of bounds on buffer access (axis %d)pandas._libs.tslibs.timedeltas.floordiv_object_arraypandas._libs.tslibs.timedeltas.__pyx_unpickle__Timedelta44ÑX!aXX»XÇ(  xPxP~-¯°´`ÂàÂÃ°ÊPÌÐÌÍ ÐÐÖ`ÖÚÚ@ÞÐÞ âðâàä å@åæè°êÐêPìï ïðpð0ñPñòó`óôpô õö÷ð÷ ðp°àÀÑÔpÖ× Ù Ù0ÚÐÚÐæ0çÀè êðê'ð'À<Ð=p>`A MðOÐQðZ\]ð^ _ÐoàpPqPyðz@ à ¢à¢@¤0¥¦§0àÐéêîP`0 2C@DUW@^`@bbd°epfàf`gPh hiðj@kpàЄ 0 @ðà °@Г P¢p§ÂÀÃàÆpÈðÊÍàÍ`ÓÓàÓÀp0@ÐÐ`!0&p&À'`+à+-à.`0à0°1`2ð@°ADf0gnÀnàx {0ååæ _À_À`ÀaP¤@¤н ¿ Û@Ü*ð*æ¿ð¿ú¿ÀÀÀ"À,À6À@ÀJÀTÀ^ÀhÀrÀ|ÀÀÀÀ¤À®À¸ÀÂÀÌÀÖÀàÀêÀôÀþÀÁÁÁ&Á0Á:ÁDÁNÁXÁbÁlÁvÁÁÁÁÁ¨Á²Á¼ÁÆÁÐÁÚÁäÁîÁøÁÂÂÂ Â*Â4Â>ÂHÂRÂ\ÂfÂpÂzÂÂÂÂ¢Â¬Â¶ÂÀÂÊÂÔÂÞÂèÂòÂüÂÃÃÃ$Ã.Ã8ÃBÃLÃVÃ`ÃjÃtÃ~ÃÃÃÃ¦Ã°ÃºÃÄÃÎÃØÃâÃìÃöÃÄ
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