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é¸ûÿÿhé®ûÿÿnp_datetimenameloader__loader__origin__file__parent__package__submodule_search_locations__path__Interpreter change detected - this module can only be loaded into one interpreter per process.Module 'np_datetime' has already been imported. Re-initialisation is not supported.builtinscython_runtime__builtins__pandas._pandas_datetime_CAPI__orig_bases__init pandas._libs.tslibs.np_datetimenp_datetime.pyx__init__.cython-30.pxdutil.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 arguments__reduce__func_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 objectname '%U' is not definedcmp_scalarint (__pyx_t_5numpy_int64_t, __pyx_t_5numpy_int64_t, int)dts_to_iso_stringPyObject *(npy_datetimestruct *)check_dts_boundsPyObject *(npy_datetimestruct *, struct __pyx_opt_args_6pandas_5_libs_6tslibs_11np_datetime_check_dts_bounds *__pyx_optional_args)pydatetime_to_dt64__pyx_t_5numpy_int64_t (PyDateTime_DateTime *, npy_datetimestruct *, struct __pyx_opt_args_6pandas_5_libs_6tslibs_11np_datetime_pydatetime_to_dt64 *__pyx_optional_args)pydatetime_to_dtstructvoid (PyDateTime_DateTime *, npy_datetimestruct *)pydate_to_dt64__pyx_t_5numpy_int64_t (PyDateTime_Date *, npy_datetimestruct *, struct __pyx_opt_args_6pandas_5_libs_6tslibs_11np_datetime_pydate_to_dt64 *__pyx_optional_args)pydate_to_dtstructvoid (PyDateTime_Date *, npy_datetimestruct *)get_datetime64_unitNPY_DATETIMEUNIT (PyObject *)string_to_dtsint (PyObject *, npy_datetimestruct *, NPY_DATETIMEUNIT *, int *, int *, int, struct __pyx_opt_args_6pandas_5_libs_6tslibs_11np_datetime_string_to_dts *__pyx_optional_args)get_unit_from_dtypeNPY_DATETIMEUNIT (PyArray_Descr *)PyArrayObject *(PyArrayObject *, PyArray_Descr *, int __pyx_skip_dispatch, struct __pyx_opt_args_6pandas_5_libs_6tslibs_11np_datetime_astype_overflowsafe *__pyx_optional_args)get_conversion_factor__pyx_t_5numpy_int64_t (NPY_DATETIMEUNIT, NPY_DATETIMEUNIT)cmp_dtstructsint (npy_datetimestruct *, npy_datetimestruct *, int)get_implementation_boundsPyObject *(NPY_DATETIMEUNIT, npy_datetimestruct *, npy_datetimestruct *)convert_reso__pyx_t_5numpy_int64_t (__pyx_t_5numpy_int64_t, NPY_DATETIMEUNIT, NPY_DATETIMEUNIT, int)PyArrayObject *(PyArrayObject *, PyArrayObject *, int __pyx_skip_dispatch)__pyx_capi__pandas._libs.tslibs.np_datetime.dts_to_iso_stringjoin() result is too long for a Python string'NoneType' object is not subscriptablepandas._libs.tslibs.np_datetime.check_dts_bounds while calling a Python objectNULL result without error in PyObject_Callcalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionexception causes must derive from BaseExceptionpandas._libs.tslibs.np_datetime.pydatetime_to_dt64pandas._libs.tslibs.np_datetime.pydate_to_dt64pandas._libs.tslibs.np_datetime.string_to_dtspandas._libs.tslibs.util.get_c_string_buf_and_sizepandas._libs.tslibs.np_datetime.astype_overflowsafeMissing type objectCannot convert %.200s to %.200spandas._libs.tslibs.np_datetime._astype_overflowsafe_to_smaller_unittoo many values to unpack (expected %zd)need more than %zd value%.1s to unpacksintan 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)numpy.PyArray_MultiIterNew2integer division or modulo by zeropandas._libs.tslibs.np_datetime.get_conversion_factorpandas._libs.tslibs.np_datetime.get_implementation_boundspandas._libs.tslibs.np_datetime.convert_resopandas._libs.tslibs.np_datetime._convert_reso_with_dtstructvalue too largepandas._libs.tslibs.np_datetime.add_overflowsafenumpy.PyArray_MultiIterNew3typeflatiterbroadcastndarraygenericnumberintegersignedintegerunsignedintegerinexactfloatingcomplexfloatingflexiblecharacterufuncdatetimedatetimetimedeltatzinfopandas._libs.tslibs.dtypesPeriodDtypeBase%.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 PyObjectinvalid vtable found for imported typec_OFFSET_TO_PERIOD_FREQSTRPyObject *c_OFFSET_DEPR_FREQSTRc_REVERSE_OFFSET_DEPR_FREQSTRc_DEPR_ABBREVSattrname_to_abbrevsnpy_unit_to_attrnameattrname_to_npy_unit%.200s does not export expected C variable %.200sC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)npy_unit_to_abbrevPyObject *(NPY_DATETIMEUNIT)get_supported_resoNPY_DATETIMEUNIT (NPY_DATETIMEUNIT)is_supported_unitint (NPY_DATETIMEUNIT)%.200s does not export expected C function %.200sC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)datetime.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%.200s() needs an argumentpandas._libs.tslibs.np_datetime.py_get_unit_from_dtype%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'%s() got multiple values for keyword argument '%U'at leastat mostexactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)pandas._libs.tslibs.np_datetime.get_supported_dtypeArgument '%.200s' has incorrect type (expected %.200s, got %.200s)pandas._libs.tslibs.np_datetime.is_supported_dtypepandas._libs.tslibs.np_datetime.is_unitless__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.np_datetime.py_td64_to_tdstructvalue too large to convert to NPY_DATETIMEUNITpandas._libs.tslibs.np_datetime.compare_mismatched_resolutionspandas._libs.tslibs.np_datetime.op_to_op_code%s (%s:%d)pandas/_libs/tslibs/np_datetime.cpython-312-iphonesimulator.so.p/pandas/_libs/tslibs/np_datetime.pyx.cpandas._libs.tslibs.np_datetime__module____doc____name____qualname____dict___is_coroutine02dCannot convert {np_val} to {dtype} without overflowCannot losslessly cast 'Cannot losslessly convert unitsConverting from M or Y units is not supported.ImportErrorM8[NNoneNotImplementedErrorOutOfBoundsDatetimeOutOfBoundsTimedeltaOut of bounds OverflowErrorOverflow in int64 addition
    Overflow-safe comparison of timedelta64/datetime64 with mismatched resolutions.

    >>> left = np.array([500], dtype="M8[Y]")
    >>> right = np.array([0], dtype="M8[ns]")
    >>> left < right  # <- wrong!
    array([ True])
    
    Raised when encountering a timedelta value that cannot be represented.

    Representation should be within a timedelta64[ns].

    Examples
    --------
    >>> pd.date_range(start="1/1/1700", freq="B", periods=100000)
    Traceback (most recent call last):
    OutOfBoundsTimedelta: Cannot cast 139999 days 00:00:00
    to unit='ns' without overflow.
    
    Raised when the datetime is outside the range that can be represented.

    Examples
    --------
    >>> pd.to_datetime("08335394550")
    Traceback (most recent call last):
    OutOfBoundsDatetime: Parsing "08335394550" to datetime overflows,
    at position 0
    RuntimeErrorTime zones are not available from the C-API.TypeError/Users/appveyor/projects/mobile-forge/build/cp312/pandas/2.2.3/pandas/_libs/tslibs/np_datetime.pyxValueError><*]?- :astypeastype_overflowsafe values.dtype and dtype must be either both-datetime64 or both-timedelta64.asyncio.coroutinesboolbyteordercline_in_tracebackcnp.dtypecompare_mismatched_resolutions (line 462)copydatetime64datetime_datadays dtype must have a unit specifiedeqformatfrom_unit must be <= to_unitgegthrsii8__import____init_subclass___initializingis_coerceis_unitless dtype must be datetime64 or timedelta64kindldtsleleft and right must both be timedelta64 or both datetime64left_unitltlvallvaluesm8[mM__main____metaclass__mimicrosecondsmin__mro_entries__msnanosecondsnenew_dtypenew_resonew_unitnewbyteordernpnp_valnsnumpy._core.multiarray failed to importnumpy._core.umath failed to importopop_codeoperator__prepare____pyx_vtable__rangerdtsres_valueresoresultresult would overflowreturnright_unitround_okrvalrvaluessecseconds__set_name____spec__supertd64tds__test__timedelta64 timestamp: ' to unitunit-less resolutions are not supportedus values must have a unit specifiedviewastype_overflowsafeadd_overflowsafeÖ/÷

XP	+H7èñg}

6Öü‘ûÿÿÿÿÿ;ÁkÒÒk7XP‘<”îÿÿÿÿ/èñ$
D?îò»ÿÿÿ
5¡óÂèïðÿÿ5numpydtypepy_get_unit_from_dtypeget_supported_dtypeis_supported_dtypeis_unitless
    Check if a datetime64 or timedelta64 dtype has no attached unit.
    py_td64_to_tdstruct
    Convert an ndarray with datetime64[X] to datetime64[Y]
    or timedelta64[X] to timedelta64[Y],
    raising on overflow.
    valuescompare_mismatched_resolutions
    Overflow-safe comparison of timedelta64/datetime64 with mismatched resolutions.

    >>> left = np.array([500], dtype="M8[Y]")
    >>> right = np.array([0], dtype="M8[ns]")
    >>> left < right  # <- wrong!
    array([ True])
    leftright
    Overflow-safe addition for datetime64/timedelta64 dtypes.

    `right` may either be zero-dim or of the same shape as `left`.
    
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