a Oc @sdZddlmZddZddZGdddeZeGd d d eZeGd d d eZeGd ddeZ eGddde Z eGddde Z edGddde Z edGdddeeZeGdddeZdS)z Various richly-typed exceptions, that also help us deal with string formatting in python where it's easier. By putting the formatting in `__str__`, we also avoid paying the cost for users who silence the exceptions. ) set_modulecCst|dkr|dS|SdS)Nr)len)tuprM/var/www/html/gsl.tools/lib/python3.9/site-packages/numpy/core/_exceptions.py _unpack_tuple s rcCst|tsJ|jj|_|S)aG A decorator that makes an exception class look like its base. We use this to hide subclasses that are implementation details - the user should catch the base type, which is what the traceback will show them. Classes decorated with this decorator are subject to removal without a deprecation warning. ) issubclass Exception__base____name__)clsrrr_display_as_bases  rc@seZdZdZddZdS)UFuncTypeErrorz% Base class for all ufunc exceptions cCs ||_dSN)ufunc)selfrrrr__init__"szUFuncTypeError.__init__N)r __module__ __qualname____doc__rrrrrr srcs(eZdZdZfddZddZZS)_UFuncBinaryResolutionErrorz' Thrown when a binary resolution fails cs,t|t||_t|jdks(JdS)N)superrtupledtypesrrrr __class__rrr)s  z$_UFuncBinaryResolutionError.__init__cCsdj|jjg|jRS)Nz7ufunc {!r} cannot use operands with types {!r} and {!r})formatrr rrrrr__str__.s z#_UFuncBinaryResolutionError.__str__r rrrrr! __classcell__rrrrr&s rcs(eZdZdZfddZddZZS)_UFuncNoLoopErrorz* Thrown when a ufunc loop cannot be found cst|t||_dSr)rrrrrrrrr9s z_UFuncNoLoopError.__init__cCs6d|jjt|jd|jjt|j|jjdS)NzLufunc {!r} did not contain a loop with signature matching types {!r} -> {!r})rrr rrninr rrrr!=s z_UFuncNoLoopError.__str__r"rrrrr$6s r$cseZdZfddZZS)_UFuncCastingErrorcs"t|||_||_||_dSr)rrcastingfrom_to)rrr'r(r)rrrrJs z_UFuncCastingError.__init__)r rrrr#rrrrr&Hsr&cs(eZdZdZfddZddZZS)_UFuncInputCastingErrorz, Thrown when a ufunc input cannot be casted cst||||||_dSr)rrin_irrr'r(r)irrrrTsz _UFuncInputCastingError.__init__cCs8|jjdkrd|jnd}d|jj||j|j|jS)Nr{} zGCannot cast ufunc {!r} input {}from {!r} to {!r} with casting rule {!r})rr%rr+r r(r)r'rZi_strrrrr!Xs z_UFuncInputCastingError.__str__r"rrrrr*Qs r*cs(eZdZdZfddZddZZS)_UFuncOutputCastingErrorz- Thrown when a ufunc output cannot be casted cst||||||_dSr)rrout_ir,rrrrfsz!_UFuncOutputCastingError.__init__cCs8|jjdkrd|jnd}d|jj||j|j|jS)Nrr.r/zHCannot cast ufunc {!r} output {}from {!r} to {!r} with casting rule {!r})rZnoutrr2r r(r)r'r0rrrr!js z _UFuncOutputCastingError.__str__r"rrrrr1cs r1numpyc@s eZdZdS) TooHardErrorN)r rrrrrrr4vsr4c@s&eZdZdZdZdddZddZdS) AxisErroraAxis supplied was invalid. This is raised whenever an ``axis`` parameter is specified that is larger than the number of array dimensions. For compatibility with code written against older numpy versions, which raised a mixture of `ValueError` and `IndexError` for this situation, this exception subclasses both to ensure that ``except ValueError`` and ``except IndexError`` statements continue to catch `AxisError`. .. versionadded:: 1.13 Parameters ---------- axis : int or str The out of bounds axis or a custom exception message. If an axis is provided, then `ndim` should be specified as well. ndim : int, optional The number of array dimensions. msg_prefix : str, optional A prefix for the exception message. Attributes ---------- axis : int, optional The out of bounds axis or ``None`` if a custom exception message was provided. This should be the axis as passed by the user, before any normalization to resolve negative indices. .. versionadded:: 1.22 ndim : int, optional The number of array dimensions or ``None`` if a custom exception message was provided. .. versionadded:: 1.22 Examples -------- >>> array_1d = np.arange(10) >>> np.cumsum(array_1d, axis=1) Traceback (most recent call last): ... numpy.AxisError: axis 1 is out of bounds for array of dimension 1 Negative axes are preserved: >>> np.cumsum(array_1d, axis=-2) Traceback (most recent call last): ... numpy.AxisError: axis -2 is out of bounds for array of dimension 1 The class constructor generally takes the axis and arrays' dimensionality as arguments: >>> print(np.AxisError(2, 1, msg_prefix='error')) error: axis 2 is out of bounds for array of dimension 1 Alternatively, a custom exception message can be passed: >>> print(np.AxisError('Custom error message')) Custom error message axisndim_msgNcCsB||urdur,nn||_d|_d|_n||_||_||_dSr)r9r7r8)rr7r8Z msg_prefixrrrrszAxisError.__init__cCs\|j}|j}||ur dur*nn|jSd|d|}|jdurT|jd|}|SdS)Nzaxis z) is out of bounds for array of dimension z: r6)rr7r8msgrrrr!s zAxisError.__str__)NN)r rrr __slots__rr!rrrrr5{s@ r5c@s8eZdZdZddZeddZeddZdd Z d S) _ArrayMemoryErrorz) Thrown when an array cannot be allocatedcCs||_||_dSr)shapedtype)rr=r>rrrrsz_ArrayMemoryError.__init__cCs |jj}|jD] }||9}q|Sr)r>itemsizer=)r num_bytesZdimrrr _total_sizes  z_ArrayMemoryError._total_sizec Csd}d}gd}t|dd|}d||>}||}~t||krX|d7}||}|t|krt|d}|d|||>9}|}||}|dkrd||St|dkrd||Sd ||Sd S) z5 Convert a number of bytes into a binary size string i)bytesZKiBZMiBZGiBZTiBZPiBZEiBrrz {:.0f} {}iz {:#.3g} {}z {:#.0f} {}N)max bit_lengthroundrr) r@Z LOG2_STEPZSTEPZunitsZunit_iZunit_valZn_unitsZ new_unit_iZ unit_namerrr_size_to_strings(       z!_ArrayMemoryError._size_to_stringcCs||j}d||j|jS)NzAUnable to allocate {} for an array with shape {} and data type {})rGrArr=r>)rZsize_strrrrr! s   z_ArrayMemoryError.__str__N) r rrrrpropertyrA staticmethodrGr!rrrrr<s  $r<N)rZnumpy.core.overridesrrr TypeErrorrrr$r&r*r1 RuntimeErrorr4 ValueError IndexErrorr5 MemoryErrorr<rrrrs( [