Gemfury

flet / pandas python

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pandas / _libs / tslib.cpython-314-iphonesimulator.so
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éúúÿÿh	éîúÿÿh"éâúÿÿhMéÖúÿÿh~éÊúÿÿhé¾úÿÿhºé²úÿÿhÜé¦úÿÿhõéúÿÿh	éúÿÿh$éúÿÿh=évúÿÿhLéjúÿÿh[é^úÿÿhjéRúÿÿhzéFúÿÿtslibnameloader__loader__origin__file__parent__package__submodule_search_locations__path__Interpreter change detected - this module can only be loaded into one interpreter per process.Module 'tslib' has already been imported. Re-initialisation is not supported.builtinscython_runtime__builtins__pandas._libs.tslibinit pandas._libs.tslibpandas/_libs/tslib.pyx../venv3.14-ios_13_0_x86_64_iphonesimulator/build/lib/python3.14/site-packages/numpy/__init__.cython-30.pxdcompile time Python version %d.%d of module '%.100s' %s runtime version %d.%ddoes not matchzlibdecompressFailed to import '%.20s.decompress' - cannot initialise module strings. String compression was configured with the C macro 'CYTHON_COMPRESS_STRINGS=%d'.__debug___cython_3_2_5Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling_cython_3_2_5._common_types_metatype__module___cython_3_2_5.cython_function_or_method<cyfunction %U at %p>unbound method %.200S() needs an argumentkeywords must be stringstakes no argumentstakes exactly one argumentBad call flags for CyFunctiontakes no keyword arguments%.200s() %s (%zd given)%.200s() %s__reduce____vectorcalloffset____weaklistoffset__func_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutine__name__ must be set to a string object__qualname__ must be set to a string object__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 objectpandas._libs.tslib.__pyx_defaultstypedatetimedatetimetimedeltatzinfonumpydtypeflatiterbroadcastndarraygenericnumberintegersignedintegerunsignedintegerinexactfloatingcomplexfloatingflexiblecharacterufuncpandas._libs.tslibs.dtypesPeriodDtypeBasepandas._libs.tslibs.strptimeDatetimeParseStatepandas._libs.tslibs.baseABCTimestamppandas._libs.tslibs.offsetsBaseOffsetpandas._libs.tslibs.timestamps_Timestamppandas._libs.tslibs.conversion_TSObjectpandas._libs.tslibs.nattype_NaTpandas._libs.missingC_NATypepandas._libs.tslibs.tzconversionLocalizerpandas._libs._cyutilityarraymemoryview%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectinvalid vtable found for imported typepandas._libs.tslibs.timezonesvariable__pyx_capi__%.200s does not export expected C %.8s %.200sC %.8s %.200s.%.200s has wrong signature (expected %.500s, got %.500s)pandas._libs.tslibs.np_datetimefunctioncannot import name %Sdatetime.datetime_CAPInumpy.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 runtime while calling a Python objectNULL result without error in PyObject_Callpandas._pandas_datetime_CAPIneeds an argument_test_parse_iso8601pandas._libs.tslib._test_parse_iso8601tsat leastat mostexactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)sname '%U' is not definedMissing type objectCannot convert %.200s to %.200sformat_array_from_datetimepandas._libs.tslib.format_array_from_datetimevaluestzformatvalue too large to convert to NPY_DATETIMEUNITan 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.__int__ returned non-int (type %.200s)Python objectAcquisition count is %d (line %d)__pyx_fatalerrorpandas._libs.tslib.__defaults__first_non_nullpandas._libs.tslib.first_non_null'NoneType' object is not iterableintExpected %.200s, got %.200sarray_to_datetimepandas._libs.tslib.array_to_datetimeerrorsunit_for_numericsstr'NoneType' object has no attribute '%.30s'addBuffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)buffer dtypeBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'end'Buffer 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 structa 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')int64_tExpected %s, got %.200sstrings are too large to concatarray_to_datetime_with_tzpandas._libs.tslib.array_to_datetime_with_tznumpy.PyArray_MultiIterNew2$	
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    TESTING ONLY: Parse string into Timestamp using iso8601 parser. Used
    only for testing, actual construction uses `convert_str_to_tsobject`
    
    return an np object array of the string formatted values

    Parameters
    ----------
    values : ndarray[int64_t], arbitrary ndim
    tz : tzinfo or None, default None
    format : str or None, default None
          a strftime capable string
    na_rep : optional, default is None
          a nat format
    reso : NPY_DATETIMEUNIT, default NPY_FR_ns

    Returns
    -------
    np.ndarray[object]
    00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899Find position of first non-null value, return -1 if there isn't one.
    Converts a 1D array of date-like values to a numpy array of either:
        1) datetime64[ns] data
        2) datetime.datetime objects, if OutOfBoundsDatetime or TypeError
           is encountered

    Also returns a fixed-offset tzinfo object if an array of strings with the same
    timezone offset is passed and utc=True is not passed. Otherwise, None
    is returned

    Handles datetime.date, datetime.datetime, np.datetime64 objects, numeric,
    strings

    Parameters
    ----------
    values : ndarray of object
        date-like objects to convert
    errors : str, default 'raise'
        error behavior when parsing
    dayfirst : bool, default False
        dayfirst parsing behavior when encountering datetime strings
    yearfirst : bool, default False
        yearfirst parsing behavior when encountering datetime strings
    utc : bool, default False
        indicator whether the dates should be UTC
    creso : NPY_DATETIMEUNIT, default NPY_FR_GENERIC
        If NPY_FR_GENERIC, conduct inference.
    unit_for_numerics : str, default "ns"

    Returns
    -------
    np.ndarray
        May be datetime64[creso_unit] or object dtype
    tzinfo or None
    
    Vectorized analogue to pd.Timestamp(value, tz=tz)

    values has object-dtype, unrestricted ndim.

    Major differences between this and array_to_datetime with utc=True
        - np.datetime64 objects are treated as _wall_ times.
        - tznaive datetimes are treated as _wall_ times.
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