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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)%.200s does not export expected C variable %.200sC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C function %.200sC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)Interpreter change detected - this module can only be loaded into one interpreter per process.unbound method %.200S() needs an argument%.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 PyObjectUnexpected format string character: '%c'Cannot convert %.200s to %.200s__annotations__ must be set to a dict object__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 callsfunction's dictionary may not be deletedsetting function's dictionary to a non-dictinstance exception may not have a separate valuecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionBuffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringDoes not understand character buffer dtype format string ('%c')Expected 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 ')'%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'pandas/_libs/missing.cpython-312-x86_64-linux-gnu.so.p/pandas/_libs/missing.pyx.cobject of type 'NoneType' has no len()hasattr(): attribute name must be stringpandas._libs.missing.__pyx_unpickle_C_NAType__set_state%.200s() takes %.8s %zd positional argument%.1s (%zd given)pandas._libs.missing.NAType.__reduce__pandas._libs.missing.NAType.__repr__pandas._libs.missing.C_NAType.__setstate_cython__pandas._libs.tslibs.util.is_nanpandas._libs.missing.is_decimal_napandas._libs.missing.checknullpandas._libs.missing.is_matching_natoo many values to unpack (expected %zd)need more than %zd value%.1s to unpackpandas._libs.missing.check_na_tuples_nonequalpandas._libs.missing.checknull_with_nat_and_napandas._libs.missing.is_null_timedelta64pandas._libs.missing.is_null_datetime64pandas._libs.missing.__pyx_unpickle_C_NATypepandas._libs.missing.NAType.__hash__pandas._libs.missing.NAType.__bool__pandas._libs.missing.NAType.__format__Argument '%.200s' has incorrect type (expected %.200s, got %.200s)pandas._libs.missing._create_unary_propagating_oppandas._libs.missing._create_binary_propagating_oppandas._libs.missing.isneginf_scalarpandas._libs.missing.isposinf_scalarModule 'missing' has already been imported. Re-initialisation is not supported.compile time Python version %d.%d of module '%.100s' %s runtime version %d.%dShared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompilingstruct __pyx_obj_6pandas_5_libs_7missing_C_NAType *int (PyObject *, PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_6pandas_5_libs_7missing_is_matching_na *__pyx_optional_args)int (PyObject *, PyObject *, int __pyx_skip_dispatch)int (PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_6pandas_5_libs_7missing_checknull *__pyx_optional_args)PyArrayObject *(PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_6pandas_5_libs_7missing_isnaobj *__pyx_optional_args)Unable to initialize pickling for %.200sstruct __pyx_obj_6pandas_5_libs_6tslibs_7nattype__NaT *pandas._libs.tslibs.np_datetime_ARRAY_API is not PyCapsule objectmodule 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__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.missing._create_unary_propagating_op.methodpandas._libs.missing.NAType.__xor__pandas._libs.missing.NAType.__or__pandas._libs.missing.NAType.__and__join() result is too long for a Python stringcannot fit '%.200s' into an index-sized integer'%.200s' object is not subscriptablepandas._libs.missing.NAType.__array_ufunc__pandas._libs.missing.C_NAType.__reduce_cython__Buffer 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)pandas._libs.missing.is_numeric_napandas._libs.missing.NAType.__new__pandas._libs.missing.NAType.__rpow__pandas._libs.missing.NAType.__pow__free variable '%s' referenced before assignment in enclosing scopepandas._libs.missing._create_binary_propagating_op.method'%.200s' object does not support slice %.10s_cython_3_0_5.cython_function_or_methodpandas._libs.missing.__pyx_scope_struct___create_binary_propagating_opBad call flags for CyFunctionintan integer is required__pyx_capi____loader__loader__file__origin__package__parent__path__submodule_search_locations%.200s() needs an argumentkeywords must be stringsMissing type objectendunparsable format string'complex double''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''double''complex long double''bool''char''complex float''float'a structPython objecta pointera string'long double'cannot import name %S%s (%s:%d)__reduce__exactlymissing.pyx__repr____setstate_cython__tupleExpected %s, got %.200sutil.pxd__pyx_unpickle_C_NAType__hash____bool____format__unicode_create_unary_propagating_opat leastat most_create_binary_propagating_opisneginf_scalarisposinf_scalarchecknullis_matching_nacheck_na_tuples_nonequalname '%U' is not definedbuiltinscython_runtime__builtins__does not match_cython_3_0_54294967296int (PyObject *)is_null_datetime64is_null_timedelta64checknull_with_nat_and_nanumpyflatiterbroadcastndarraygenericnumberunsignedintegerinexactcomplexfloatingflexiblecharacterufuncdatetimedatetimedeltatzinfopandas._libs.tslibs.nattype__pyx_t_5numpy_int64_tNPY_NATPyObject *c_nat_stringsc_NaTchecknull_with_natis_dt64natis_td64natNPY_DATETIMEUNIT (PyObject *)get_datetime64_unitnumpy._core._multiarray_umathnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is NULL pointerpandas._pandas_datetime_CAPI__init__.cython-30.pxdnumpy.import_array__orig_bases__init pandas._libs.missingmethod__xor____or____and__pandas._libs.missing.isnaobjarr__array_ufunc____reduce_cython__buffer dtypeis_numeric_navalues__new____rpow____pow__is_divmodassignment__module__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_coroutinepandas._libs.missing.C_NATypeuint8_t srr srrrrr@srrrrrrrrrrrrrrrrrrrrrrrrr s srrr0s@srrrrrrr srr s<T$ v`ڂH^jM0M"&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&v&&.&&&&&R^&&j&&&& &&&&&&&&&&&&&&&&:&&&tF&t||||||||l||l||\\\||||||||||||||||||l||l|||\|K  ܀܀|llll܀܀|l܀l܀pppppppppVppVppppppppppppppppppVkpppppppppppppppppppppppp_k _p ppppp pp pp p pp҅ppppp>ppp_ppp p pp ppp ppppppppp Check for NA values consistent with IntegerArray/FloatingArray. Similar to a vectorized is_valid_na_for_dtype restricted to numeric dtypes. Returns ------- ndarray[bool] Return boolean mask denoting which elements of a 1-D array are na-like, according to the criteria defined in `checknull`: - None - nan - NaT - np.datetime64 representation of NaT - np.timedelta64 representation of NaT - NA - Decimal("NaN") Parameters ---------- arr : ndarray Returns ------- result : ndarray (dtype=np.bool_) Return boolean describing of the input is NA-like, defined here as any of: - None - nan - NaT - np.datetime64 representation of NaT - np.timedelta64 representation of NaT - NA - Decimal("NaN") Parameters ---------- val : object inf_as_na : bool, default False Whether to treat INF and -INF as NA values. Returns ------- bool Check if two scalars are both NA of matching types. Parameters ---------- left : Any right : Any nan_matches_none : bool, default False For backwards compatibility, consider NaN as matching None. Returns ------- bool When we have NA in one of the tuples but not the other we have to check here, because our regular checks fail before with ambiguous boolean value. Parameters ---------- left: Any right: Any Returns ------- True if we are dealing with tuples that have NA on one side and non NA on the other side. numpy._core.umath failed to importnumpy._core.multiarray failed to importmaybe_dispatch_ufunc_to_dunder_opboolean value of NA is ambiguousTime zones are not available from the C-API.Incompatible checksums (0x%x vs (0xe3b0c44, 0xda39a3e, 0xd41d8cd) = ())/project/pandas/_libs/missing.pyx_create_unary_propagating_op..method_create_binary_propagating_op..method'values' contains non-numeric NA NA ("not available") missing value indicator. .. warning:: Experimental: the behaviour of NA can still change without warning. The NA singleton is a missing value indicator defined by pandas. It is used in certain new extension dtypes (currently the "string" dtype). Examples -------- >>> pd.NA >>> True | pd.NA True >>> True & pd.NA >>> pd.NA != pd.NA >>> pd.NA == pd.NA >>> True | pd.NA True _create_binary_propagating_op_create_unary_propagating_opC_NAType.__setstate_cython__pandas._libs.ops_dispatchcheck_na_tuples_nonequalC_NAType.__reduce_cython____pyx_unpickle_C_NATypepandas._libs.missing' not supported for NANAType.__array_ufunc__cline_in_tracebackasyncio.coroutinesnan_matches_nonebroadcast_arrays__setstate_cython____pyx_PickleErrorisposinf_scalarisneginf_scalarNAType.__reduce__NAType.__format__is_matching_na__array_priority__NotImplemented__reduce_cython__is_numeric_na__init_subclass____class_getitem__NAType.__rpow__NAType.__repr__NAType.__hash__NAType.__bool___HANDLED_TYPESuse_setstateufunc method '__pyx_checksum_is_coroutine_initializingRuntimeErrorNAType.__xor__NAType.__pow__NAType.__new__NAType.__and____mro_entries__format_spec__array_ufunc__PickleErrorNAType.__or__ImportError__pyx_resultValueError__rfloordiv____reduce_ex____pyx_state__metaclass__isenabledis_divmodinf_as_naenumeratechecknullTypeError__setstate____set_name____rtruediv____qualname____pyx_type__pyx_capi___instance__getstate____floordiv__exponentC_NAType__truediv____rmatmul____rdivmod____prepare__numbersndarraymaxsizeisnaobjdisabledecimalDecimalvaluesupdatereturnresult__reduce__pickleobject__name____module__method__matmul__kwargsis_cmp__invert__inputs__import____format__enable__divmod___dict__bool__boolNumberNATypezeroswhereuint8ufunctypessuperstripstateshaperightrangeothernumpyindexemptydtypeviewtype__test____spec__self__rxor____rsub____rpow____rmul____rmod____repr____rand____radd__nout__ne__ndimname__main____lt__left__le__item__hash____gt____ge____eq____dict__copy__call__bool_argsC_NAzip__xor__valsys__sub__str__ror____pow____pos__out__new____neg____mul____mod__inf__doc__clsarr__and____add____abs__?*.__or__npneltlegtgegceq_NAxiN@?;ppn wDwtxXy RzhL{|( } ~ pοxA'PBBBB0CD0CXpClC D@DD0FPF$FpGGpHJ\0L0MN(O<O`PP|pPPT| U8 @UL PW W 0X Y Y Z [( [l 0\ \ p] ] p^ _@ _l p` pb c$ f8 k p rl0v`vwzh~Dd@ 8@HtpP4в@г`$$@  `h @DP!!` @""`@#*#.#R$P[(% n%pp%{d&P&@d'zRx $jFJ w?;*3$"4Dx>EBDD a GBL AAB|>>>>!>1>Ul hD?Jd e|?$?Dab@@?AGG0g GAJ d DAG R CAB A$A~\ a C }(qBAA AB\XABED D(D0| (D ABBH Q (D DBBC D (A ABBE DA%(XABAD ] DBF HXB BEE B(A0D8GPI 8D0A(B BBBH DD J AH 8cqBEH A(A0m(D BBB80qBEL L(A0(B BBB$l0EA D K E SD0rBEL E(A0A8E@8A0A(B BBBDrBEL E(A0A8E@8A0A(B BBB8$szBBE A(A0d(D BBB8`