U b @slddlZddlZddlZddlZddlZddlZddlmZmZm Z ddl m Z ddl m Z mZmZddlZddddd d d d d dddg Zdd ZddZGdddZddZddZdd ZddZd3dd ZddZdadad4dd Zd5d!d"Ze dd6d$d Z e dej!fd%d Z"iZ#e$d&ej%Z&e dd7d)dZ'd*d+Z(d,d-Z)d.dZ*d/d0Z+d1d2Z,dS)8N) issubclass_ issubsctype issubdtype) set_module)ndarrayufuncasarrayrrr deprecatedeprecate_with_doc get_includeinfosourcewholookfor byte_bounds safe_evalcCsVddl}|jdkr.tjtj|jdd}n$ddlm}tjtj|jd}|S)a Return the directory that contains the NumPy \*.h header files. Extension modules that need to compile against NumPy should use this function to locate the appropriate include directory. Notes ----- When using ``distutils``, for example in ``setup.py``:: import numpy as np ... Extension('extension_name', ... include_dirs=[np.get_include()]) ... rNcoreinclude) numpyZ show_configospathjoindirname__file__ numpy.corer)rdrrO/home/fireinfo/NEWAFireInfo/venv/lib/python3.8/site-packages/numpy/lib/utils.pyr s   cCs ||_|SN)__name__)funcnamerrr_set_function_name0sr"c@s"eZdZdZdddZddZdS) _Deprecatez Decorator class to deprecate old functions. Refer to `deprecate` for details. See Also -------- deprecate NcCs||_||_||_dSr)old_namenew_namemessage)selfr$r%r&rrr__init__Asz_Deprecate.__init__cs~|j}|j}|j}|dkr@z j}Wntk r>j}YnX|dkrRd|n d||f|dk rrd|7fdd}t||}j}|dkr}n|d} t | dd} | d r| d |}nRt | dd} | ddD](} t | | kr q| t | d7} q|| d}t d | d |g}||_z j} Wntk rlYnX|j| |S) z: Decorator call. Refer to ``decorate``. Nz`%s` is deprecated!z%`%s` is deprecated, use `%s` instead! cstjtdd||S)z1`arrayrange` is deprecated, use `arange` instead!) stacklevel)warningswarnDeprecationWarning)argskwdsZdepdocr rrnewfunc]sz$_Deprecate.__call__..newfuncr z )r$r%r&rAttributeErrorr"__doc__ expandtabssplit _get_indentlstriplentextwrapindentr__dict__update)r'r r/kwargsr$r%r&r2doclinesr=skiplinerrr1r__call__FsN         z_Deprecate.__call__)NNN)r __module__ __qualname__r6r(rErrrrr#5s r#cCsDtj}|D]&}t|}|r t|t||}q |tjkr@d}|S)zU Determines the leading whitespace that could be removed from all the lines. r)sysmaxsizer;r:min)rBr=rDcontentrrrr9s  r9cOs4|r&|d}|dd}t|||St||SdS)a Issues a DeprecationWarning, adds warning to `old_name`'s docstring, rebinds ``old_name.__name__`` and returns the new function object. This function may also be used as a decorator. Parameters ---------- func : function The function to be deprecated. old_name : str, optional The name of the function to be deprecated. Default is None, in which case the name of `func` is used. new_name : str, optional The new name for the function. Default is None, in which case the deprecation message is that `old_name` is deprecated. If given, the deprecation message is that `old_name` is deprecated and `new_name` should be used instead. message : str, optional Additional explanation of the deprecation. Displayed in the docstring after the warning. Returns ------- old_func : function The deprecated function. Examples -------- Note that ``olduint`` returns a value after printing Deprecation Warning: >>> olduint = np.deprecate(np.uint) DeprecationWarning: `uint64` is deprecated! # may vary >>> olduint(6) 6 rr3Nr#)r/r@fnrrrr s , cCs t|dS)a Deprecates a function and includes the deprecation in its docstring. This function is used as a decorator. It returns an object that can be used to issue a DeprecationWarning, by passing the to-be decorated function as argument, this adds warning to the to-be decorated function's docstring and returns the new function object. See Also -------- deprecate : Decorate a function such that it issues a `DeprecationWarning` Parameters ---------- msg : str Additional explanation of the deprecation. Displayed in the docstring after the warning. Returns ------- obj : object )r&rL)msgrrrr sc Cs|j}|dd}|d}|d}t|jj}|}}|dkrN||j|7}nFt||D]2\}} | dkrz||d| 7}qX||d| 7}qX||7}||fS)a# Returns pointers to the end-points of an array. Parameters ---------- a : ndarray Input array. It must conform to the Python-side of the array interface. Returns ------- (low, high) : tuple of 2 integers The first integer is the first byte of the array, the second integer is just past the last byte of the array. If `a` is not contiguous it will not use every byte between the (`low`, `high`) values. Examples -------- >>> I = np.eye(2, dtype='f'); I.dtype dtype('float32') >>> low, high = np.byte_bounds(I) >>> high - low == I.size*I.itemsize True >>> I = np.eye(2); I.dtype dtype('float64') >>> low, high = np.byte_bounds(I) >>> high - low == I.size*I.itemsize True datarstridesshapeNr3)Z__array_interface__rdtypeitemsizesizezip) aZaiZa_dataZastridesZashapeZbytes_aZa_lowZa_highrQZstriderrrrs   c Cs$|dkrtj}|j}g}i}|D]}t||tr(||}t|}||krl|d||}d}n|||<|}d}dt t |j } t |j } | || | |jj|gq(d} d} d} d}|D]t}| t|dkrt|d} | t|dkrt|d} | t|dkr"t|d} |dr|t|d7}qt|dkrtd| }td| }td| }d |d |d |d f}t|d d t|d d |D]l}td|dd |t|dd|dd |t|dd |dd |t|dd |dfqtd|dS)a% Print the NumPy arrays in the given dictionary. If there is no dictionary passed in or `vardict` is None then returns NumPy arrays in the globals() dictionary (all NumPy arrays in the namespace). Parameters ---------- vardict : dict, optional A dictionary possibly containing ndarrays. Default is globals(). Returns ------- out : None Returns 'None'. Notes ----- Prints out the name, shape, bytes and type of all of the ndarrays present in `vardict`. Examples -------- >>> a = np.arange(10) >>> b = np.ones(20) >>> np.who() Name Shape Bytes Type =========================================================== a 10 80 int64 b 20 160 float64 Upper bound on total bytes = 240 >>> d = {'x': np.arange(2.0), 'y': np.arange(3.0), 'txt': 'Some str', ... 'idx':5} >>> np.who(d) Name Shape Bytes Type =========================================================== x 2 16 float64 y 3 24 float64 Upper bound on total bytes = 40 Nz (%s)rr3z x r* zName %s Shape %s Bytes %s Typer4r)=z%s %s %s %s %s %s %sz' Upper bound on total bytes = %d)rH _getframef_back f_globalskeys isinstanceridrmapstrrQnbytesappendrRr!r;intmaxprint)vardictframeZstacacher!varZidvnamestroriginalZshapestrZbytestrZmaxnameZmaxshapeZmaxbyteZ totalbytesvalZsp1Zsp2Zsp3Zprvalrrrrsb,              c Cst|}|}|}d}||}|D]h}||kr4d} n|} |t|t| }||kr~|dt|}|dd|d|}q"|| |}q"|S)Nz, r3z, r4r*)r;r8) r! argumentswidthZ firstwidthkZnewstrZsepstrZarglistargumentZaddstrrrr _split_lines rurcCst|ttg}|j|ji}|jg}|jg}t|dkrr;popr_r`types ModuleTypere)moduleZthedictZdictlistZ totraverseZthisdictxmodnameZmoddictrrr _makenamedicts          rc Csd}d}dd}t|dt|}t|d|}|j}|jj}|dkrHtj}td||dtd |j|dtd ||dtd |j |dtd ||j j |dtd ||j j |dtd|j j |dtdt|jjj|f|dtdd|d|dkrtd|tj|f|dd} nH|dkr@td||f|dtjdk} ntd||f|dtjdk} td|| |dtd|j|ddS)aOProvide information about ndarray obj. Parameters ---------- obj : ndarray Must be ndarray, not checked. output Where printed output goes. Notes ----- Copied over from the numarray module prior to its removal. Adapted somewhat as only numpy is an option now. Called by info. rpcSs|Srr)r}rrrz_info.. __class__rNzclass: filezshape: z strides: z itemsize: z aligned: z contiguous: z fortran: zdata pointer: %s%sz byteorder: r4)endr)|rYz%s%s%sF>z%sbig%sbigz %slittle%slittlez byteswap: ztype: %s)getattrtyperPrR byteorderrHstdoutrhrQrSflagsZaligned contiguousZfortranhexctypesZ_as_parameter_value) objoutputextraZticZbpclsnmrPZendianZbyteswaprrr_infos>     rLc Cs^ddl}ddl}t|ds$t|dr,|j}nt|dr<|j}|dkrJtj}|dkr^ttnt|t rxt ||dnt|t r^t dkrt |\a ad}g}tD]}zlt ||} t| |krtd||dn6|t| td ||dt| td ||d|d 7}Wqtk r*YqXq|dkrJtd ||dntd ||dn||sv||r|j} zt ||} Wntk rd} YnXt| | |krt| | |} n| | } td| d|dt|||dn^||r<|j} zt ||} Wntk r:d} YnXt| | |kr\t| | |} n| | } td| d|d||} | dkrt|drt||j|dnt|||d||}dd|D}|rZtd|d|D]J}t||d}|dk r"|||pd\}}td||f|dqnt|drZt|||ddS)a Get help information for a function, class, or module. Parameters ---------- object : object or str, optional Input object or name to get information about. If `object` is a numpy object, its docstring is given. If it is a string, available modules are searched for matching objects. If None, information about `info` itself is returned. maxwidth : int, optional Printing width. output : file like object, optional File like object that the output is written to, default is ``None``, in which case ``sys.stdout`` will be used. The object has to be opened in 'w' or 'a' mode. toplevel : str, optional Start search at this level. See Also -------- source, lookfor Notes ----- When used interactively with an object, ``np.info(obj)`` is equivalent to ``help(obj)`` on the Python prompt or ``obj?`` on the IPython prompt. Examples -------- >>> np.info(np.polyval) # doctest: +SKIP polyval(p, x) Evaluate the polynomial p at x. ... When using a string for `object` it is possible to get multiple results. >>> np.info('fft') # doctest: +SKIP *** Found in numpy *** Core FFT routines ... *** Found in numpy.fft *** fft(a, n=None, axis=-1) ... *** Repeat reference found in numpy.fft.fftpack *** *** Total of 3 references found. *** rNZ_ppimport_importer_ppimport_module_ppimport_attr)rz+ *** Repeat reference found in %s *** rz *** Found in %s ***-r3zHelp for %s not found.z+ *** Total of %d references found. ***z()r4r)r(cSsg|]}|ddkr|qS)r_r).0methrrr ls zinfo..z Methods: Nonez %s -- %sr6) pydocinspecthasattrrrrHrr r`rrrc _namedictr _dictlistrarhreKeyError isfunctionismethodr signature Exceptionr;rugetdocisclassr(Z allmethodsrZsplitdoc)objectZmaxwidthrtoplevelrrZnumfoundZobjlistrmrr!rqZargstrZdoc1methodsZpublic_methodsrZthisobjZmethstrotherrrrr s5                      cCsZddl}z,td|||dt|||dWn tk rTtd|dYnXdS)a Print or write to a file the source code for a NumPy object. The source code is only returned for objects written in Python. Many functions and classes are defined in C and will therefore not return useful information. Parameters ---------- object : numpy object Input object. This can be any object (function, class, module, ...). output : file object, optional If `output` not supplied then source code is printed to screen (sys.stdout). File object must be created with either write 'w' or append 'a' modes. See Also -------- lookfor, info Examples -------- >>> np.source(np.interp) #doctest: +SKIP In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py def interp(x, xp, fp, left=None, right=None): """.... (full docstring printed)""" if isinstance(x, (float, int, number)): return compiled_interp([x], xp, fp, left, right).item() else: return compiled_interp(x, xp, fp, left, right) The source code is only returned for objects written in Python. >>> np.source(np.array) #doctest: +SKIP Not available for this object. rNz In file: %s rzNot available for this object.)rrh getsourcefile getsourcer)rrrrrrr {s )z[a-z0-9_]+\(.*[,=].*\)TFc sddl}t|||g}t|s0dSD]@\}\}} } | dkrPq8|tfddDr8||q8dddddfd d fd d } |j| d dd } | dt | g} |dddD]}|\} }dd dD}z(|d }t |r,|d }Wntk rHd}YnX| d||fq|sn| d|dk r|d | n4t | dkr|}|d | ntd | dS)a Do a keyword search on docstrings. A list of objects that matched the search is displayed, sorted by relevance. All given keywords need to be found in the docstring for it to be returned as a result, but the order does not matter. Parameters ---------- what : str String containing words to look for. module : str or list, optional Name of module(s) whose docstrings to go through. import_modules : bool, optional Whether to import sub-modules in packages. Default is True. regenerate : bool, optional Whether to re-generate the docstring cache. Default is False. output : file-like, optional File-like object to write the output to. If omitted, use a pager. See Also -------- source, info Notes ----- Relevance is determined only roughly, by checking if the keywords occur in the function name, at the start of a docstring, etc. Examples -------- >>> np.lookfor('binary representation') # doctest: +SKIP Search results for 'binary representation' ------------------------------------------ numpy.binary_repr Return the binary representation of the input number as a string. numpy.core.setup_common.long_double_representation Given a binary dump as given by GNU od -b, look for long double numpy.base_repr Return a string representation of a number in the given base system. ... rN)r|rc3s|]}|kVqdSrrrw)rArr szlookfor..i)r classr|rcsd}d|ddd|tfddD7}|tfddD7}|t d7}||d7}|d  d 7}|t| d d 7}|S) Nrr)r[csg|]}|krdqS)rr) first_docrrrsz.lookfor..relevance..csg|]}|krdqS)rr)r!rrrsrZr.rXdi) rlowerstripr8sumr;getcountrg)r!Zdocstrkindindexr)kind_relevancewhats)rr!r relevances zlookfor..relevancecs|f|Srr)rV)rkrrrrelevance_valuesz lookfor..relevance_value)keyzSearch results for '%s'r4rcSsg|]}|r|qSr)r)rrDrrrrszlookfor..r)r3rpz %s %szNothing found.rX)r_lookfor_generate_cachercrr8itemsallresortrr;r_function_signature_research IndexErrorwriteZgetpagerrh)whatr|import_modules regeneraterrfoundr!Z docstringrrrs help_textixZdoclinesrZpagerr)rkrArrrrrsN/        c Csddl}ddlm}|dkr d}t|tr\z t|Wntk rNiYSXtj|}n8t|t spt|t ri}|D]}| t |||qx|St |tkr|stt |Si}|tt |<i}d}|j|fg} | r| d\} } t | |krqd|t | <|d7}d} || r$d} z | j} Wntk rBd} YnX|rHt| d rH| jD]}t|D]}tj||}tj||d }tj|r|d r|dd }ntj|rj|}nqj|d krڐqjzDtj}tj}z$|t_|t_td| |fW5|t_|t_XWn ttfk r>YqjYnXqjq\t | D]\}}z$t!|dd| |f}t!|dd}Wn&t"k rd| |f}d}YnXd|kr|rd||f}|#| dst|t$rPnqPn$||s| dks|| ksqP| %d| |f|fqPnL|&| r`d} t | D] \}}| %d| |f|fq.)r getmembersrdir)rrmembersrrrrs rcCsddl}||S)a Protected string evaluation. Evaluate a string containing a Python literal expression without allowing the execution of arbitrary non-literal code. Parameters ---------- source : str The string to evaluate. Returns ------- obj : object The result of evaluating `source`. Raises ------ SyntaxError If the code has invalid Python syntax, or if it contains non-literal code. Examples -------- >>> np.safe_eval('1') 1 >>> np.safe_eval('[1, 2, 3]') [1, 2, 3] >>> np.safe_eval('{"foo": ("bar", 10.0)}') {'foo': ('bar', 10.0)} >>> np.safe_eval('import os') Traceback (most recent call last): ... SyntaxError: invalid syntax >>> np.safe_eval('open("/home/user/.ssh/id_dsa").read()') Traceback (most recent call last): ... ValueError: malformed node or string: <_ast.Call object at 0x...> rN)ast literal_eval)r rrrrrs,cCsr|jdkr|St|jd|d}tj|r8|d}t|dkrnt |tj rd|j tj Stj ||<|S)a{ Utility function to check median result from data for NaN values at the end and return NaN in that case. Input result can also be a MaskedArray. Parameters ---------- data : array Sorted input data to median function result : Array or MaskedArray Result of median function. axis : int Axis along which the median was computed. Returns ------- result : scalar or ndarray Median or NaN in axes which contained NaN in the input. If the input was an array, NaN will be inserted in-place. If a scalar, either the input itself or a scalar NaN. rr)axisF)rTnpisnanZtakemaZ isMaskedArrayZfilledZ count_nonzeroZravelr`ZgenericrRrnan)rOresultrrrrr_median_nanchecks     rcCsrddlm}m}m}t|dkr0t|dkr0dSd|}|D].}||r\|d|d7}q>|d|d7}q>|S)a Returns a string contains the supported CPU features by the current build. 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