KhxSrSrSSKrSSKJs Jr SSKJ r J r SSjr Sr Sr SrSS jr"S S 5r"S S 5rSr"SS\5r"SS\5r"SS\5r"SS5rSSjrg)zBA collection of functions designed to help I/O with ascii files. zrestructuredtext enN)asbytes asunicodecV[U5[LaUcSnURU5nU$)a;Decode bytes from binary input streams. Defaults to decoding from 'latin1'. That differs from the behavior of np.compat.asunicode that decodes from 'ascii'. Parameters ---------- line : str or bytes Line to be decoded. encoding : str Encoding used to decode `line`. Returns ------- decoded_line : str latin1)typebytesdecode)lineencodings D/var/www/html/env/lib/python3.13/site-packages/numpy/lib/_iotools.py _decode_liner s.$ DzU  H{{8$ Kc<US- g![[4a gf=f)z* Check whether obj behaves like a string. FT TypeError ValueErrorobjs r _is_string_liker%s, b  z " c<US- g![[4a gf=f)z0 Check whether obj behaves like a bytes object. rFTrrs r _is_bytes_liker0s, c   z "rcT^[U4SjTR=(d S55$)au Returns whether one or several fields of a dtype are nested. Parameters ---------- ndtype : dtype Data-type of a structured array. Raises ------ AttributeError If `ndtype` does not have a `names` attribute. Examples -------- >>> import numpy as np >>> dt = np.dtype([('name', 'S4'), ('x', float), ('y', float)]) >>> np.lib._iotools.has_nested_fields(dt) False c3F># UHnTURSLv M g7fN)names).0namendtypes r $has_nested_fields..Qs"M:L$vd|!!-:Ls!)anyr)r s`r has_nested_fieldsr%;s", M&,,:L":LM MMrc.URnUcKU(a7UR/[[R"UR 55-$UR/$/nUH2nUR Un[USU5nURU5 M4 U$)a Unpack a structured data-type by collapsing nested fields and/or fields with a shape. Note that the field names are lost. Parameters ---------- ndtype : dtype The datatype to collapse flatten_base : bool, optional If True, transform a field with a shape into several fields. Default is False. Examples -------- >>> import numpy as np >>> dt = np.dtype([('name', 'S4'), ('x', float), ('y', float), ... ('block', int, (2, 3))]) >>> np.lib._iotools.flatten_dtype(dt) [dtype('S4'), dtype('float64'), dtype('float64'), dtype('int64')] >>> np.lib._iotools.flatten_dtype(dt, flatten_base=True) [dtype('S4'), dtype('float64'), dtype('float64'), dtype('int64'), dtype('int64'), dtype('int64'), dtype('int64'), dtype('int64'), dtype('int64')] r) rbaseintnpprodshapefields flatten_dtypeextend)r flatten_basertypesfieldinfoflat_dts r r-r-TsD LLE } KK=3rwwv||'<#== = }E=='D#DG\:G LL ! rcD\rSrSrSrSrS SjrSrSrSr S r S r g) LineSplittera Object to split a string at a given delimiter or at given places. Parameters ---------- delimiter : str, int, or sequence of ints, optional If a string, character used to delimit consecutive fields. If an integer or a sequence of integers, width(s) of each field. comments : str, optional Character used to mark the beginning of a comment. Default is '#'. autostrip : bool, optional Whether to strip each individual field. Default is True. c^U4Sj$)am Wrapper to strip each member of the output of `method`. Parameters ---------- method : function Function that takes a single argument and returns a sequence of strings. Returns ------- wrapped : function The result of wrapping `method`. `wrapped` takes a single input argument and returns a list of strings that are stripped of white-space. cZ>T"U5Vs/sHoR5PM sn$s snfr)strip)input_methods r (LineSplitter.autostrip..s?Aggi??s(r#)selfr<s `r autostripLineSplitter.autostrips $@?rNcP[U5n[U5nX lUb[U[5(aU=(d SnURnO[ US5(a_UR n[R"S/[U5-5n[USSUSS5VVs/sHupx[Xx5PM nnnO4[U5(aUR[U5pO URSpXlU(aURU5UlOXPlX@lgs snnf)N__iter__r)r comments isinstancestr_delimited_splitterhasattr_variablewidth_splitterr)cumsumlistzipslicer(_fixedwidth_splitter delimiterr@ _handymanr ) r?rQrFr@r rRidxijs r __init__LineSplitter.__init__s + )   *Y"<"<!)TI00I Y + +44I))QC$y/12C36s3BxQR3IJ3I!q3IIJI ^^--s9~"'+&>&> " !^^I6DN&N Ks"D"cURbURUR5SnURS5nU(d/$URUR5$)z2Chop off comments, strip, and split at delimiter. rz )rFsplitr9rQr?r s r rI LineSplitter._delimited_splittersL == $::dmm,Q/Dzz'"Izz$..))rcFURbURUR5SnURS5nU(d/$URn[ S[ U5U5Vs/sHn[ X3U-5PM nnUVs/sHoQUPM sn$s snfs snf)Nrz )rFrYr9rQrangelenrO)r?r fixedrTslicesss r rP!LineSplitter._fixedwidth_splitters == $::dmm,Q/Dzz&!I/4QD 5/IJ/I!%u9%/IJ!'(AQ((K(s *BBcURbURUR5SnU(d/$URnUVs/sHo1UPM sn$s snf)Nr)rFrYrQ)r?r r`ras r rK$LineSplitter._variablewidth_splittersN == $::dmm,Q/DI!'(AQ(((sAcJUR[XR55$r)rRr r rZs r __call__LineSplitter.__call__s~~l4?@@r)rRrFrQr )N#TN) __name__ __module__ __qualname____firstlineno____doc__r@rVrIrPrKrf__static_attributes__r#rr r5r5s1 @(@D!:*))Arr5cR\rSrSrSr/SQr\"S5rS SjrS Sjr S Sjr S r g) NameValidatora Object to validate a list of strings to use as field names. The strings are stripped of any non alphanumeric character, and spaces are replaced by '_'. During instantiation, the user can define a list of names to exclude, as well as a list of invalid characters. Names in the exclusion list are appended a '_' character. Once an instance has been created, it can be called with a list of names, and a list of valid names will be created. The `__call__` method accepts an optional keyword "default" that sets the default name in case of ambiguity. By default this is 'f', so that names will default to `f0`, `f1`, etc. Parameters ---------- excludelist : sequence, optional A list of names to exclude. This list is appended to the default list ['return', 'file', 'print']. Excluded names are appended an underscore: for example, `file` becomes `file_` if supplied. deletechars : str, optional A string combining invalid characters that must be deleted from the names. case_sensitive : {True, False, 'upper', 'lower'}, optional * If True, field names are case-sensitive. * If False or 'upper', field names are converted to upper case. * If 'lower', field names are converted to lower case. The default value is True. replace_space : '_', optional Character(s) used in replacement of white spaces. Notes ----- Calling an instance of `NameValidator` is the same as calling its method `validate`. Examples -------- >>> import numpy as np >>> validator = np.lib._iotools.NameValidator() >>> validator(['file', 'field2', 'with space', 'CaSe']) ('file_', 'field2', 'with_space', 'CaSe') >>> validator = np.lib._iotools.NameValidator(excludelist=['excl'], ... deletechars='q', ... case_sensitive=False) >>> validator(['excl', 'field2', 'no_q', 'with space', 'CaSe']) ('EXCL', 'FIELD2', 'NO_Q', 'WITH_SPACE', 'CASE') )returnfileprintz~!@#$%^&*()-=+~\|]}[{';: /?.>,.,sArFuc"UR5$r)upperrxs r r=rz. AGGIrlc"UR5$r)lowerrxs r r=rz0r~rz%unrecognized case_sensitive value %s.) r.defaultexcludelist excludelistdefaultdeletecharssetadd deletecharscase_converter startswithr replace_space)r?rrcase_sensitiverdeletemsgs r rVNameValidator.__init__s  K4223&  ,,F%F 3!  "$(>"-D %.*C*CC*H*H"5D   & &s + +"5D 9NJCS/ !*rcUcUcg/n[U[5(aU/nUb/[U5nXC:a[U5S/X4- --nO XC:aUSUnURnUR nUR nURn/n [5n Sn UHn U"U 5R5n U(aU RSU5n SRU V s/sH oU;dM U PM sn 5n U S:XaX+-n X;aU S- n X+-n X;aMU S- n O X;aU S- n U RU S5nUS:aU RU SU--5 OU RU 5 US-X'M [U 5$s sn f)ac Validate a list of strings as field names for a structured array. Parameters ---------- names : sequence of str Strings to be validated. defaultfmt : str, optional Default format string, used if validating a given string reduces its length to zero. nbfields : integer, optional Final number of validated names, used to expand or shrink the initial list of names. Returns ------- validatednames : list of str The list of validated field names. Notes ----- A `NameValidator` instance can be called directly, which is the same as calling `validate`. For examples, see `NameValidator`. Nrr rEr;z_%d)rGrHr^rMrrrrdictr9replacejoingetappendtuple)r?r defaultfmtnbfieldsnbnamesrrrrvalidatednamesseennbemptyitemccnts r validateNameValidator.validate7s6 M E eS ! !IE  %jG"U rdh.@&AA$ix(&& && ,,** vD!$'--/D||C777tDt! /CAtDEDrz!+mqLG%/Dm1 $ ((4#CQw%%dUS[&89%%d+qDJ%&^$$Es  E5 "E5 c"URXUS9$)N)rr)r)r?rrrs r rfNameValidator.__call__}s}}UH}MMr)rrrr)NNNr;f%iN) rirjrkrlrmrrrrVrrfrnr#rr rprps42h5CD5947+6D%LNrrpcTUR5nUS:XagUS:Xag[S5e)a Tries to transform a string supposed to represent a boolean to a boolean. Parameters ---------- value : str The string that is transformed to a boolean. Returns ------- boolval : bool The boolean representation of `value`. Raises ------ ValueError If the string is not 'True' or 'False' (case independent) Examples -------- >>> import numpy as np >>> np.lib._iotools.str2bool('TRUE') True >>> np.lib._iotools.str2bool('false') False TRUETFALSEFzInvalid boolean)r}r)values r str2boolrs08 KKME  ' *++rc\rSrSrSrSrg)ConverterErrorizJ Exception raised when an error occurs in a converter for string values. r#Nrirjrkrlrmrnr#rr rr  rrc\rSrSrSrSrg)ConverterLockErrorizJ Exception raised when an attempt is made to upgrade a locked converter. r#Nrr#rr rrrrrc\rSrSrSrSrg)ConversionWarningiz Warning issued when a string converter has a problem. Notes ----- In `genfromtxt` a `ConversionWarning` is issued if raising exceptions is explicitly suppressed with the "invalid_raise" keyword. r#Nrr#rr rrs  rrc F\rSrSrSr\R \S4\R\ S4/r \R"\R5R\R"\R5R:a\ R\R\ S45 \ R\R \\R$4\R&\\R$S-4\R*\R*\R$4\R,\ S4\R.\\R$4\R0\\R$S-4\R2\S4\R6\S4/5 \S5r\S5r\S 5r \SS j5r!\S 5r"SS jr#Sr$Sr%Sr&Sr'Sr(Sr)SSjr*Sr+g )StringConverteria Factory class for function transforming a string into another object (int, float). After initialization, an instance can be called to transform a string into another object. If the string is recognized as representing a missing value, a default value is returned. Attributes ---------- func : function Function used for the conversion. default : any Default value to return when the input corresponds to a missing value. type : type Type of the output. _status : int Integer representing the order of the conversion. _mapper : sequence of tuples Sequence of tuples (dtype, function, default value) to evaluate in order. _locked : bool Holds `locked` parameter. Parameters ---------- dtype_or_func : {None, dtype, function}, optional If a `dtype`, specifies the input data type, used to define a basic function and a default value for missing data. For example, when `dtype` is float, the `func` attribute is set to `float` and the default value to `np.nan`. If a function, this function is used to convert a string to another object. In this case, it is recommended to give an associated default value as input. default : any, optional Value to return by default, that is, when the string to be converted is flagged as missing. If not given, `StringConverter` tries to supply a reasonable default value. missing_values : {None, sequence of str}, optional ``None`` or sequence of strings indicating a missing value. If ``None`` then missing values are indicated by empty entries. The default is ``None``. locked : bool, optional Whether the StringConverter should be locked to prevent automatic upgrade or not. Default is False. FrDyz???cB[R"U5R$)z(Returns the dtype of the input variable.)r)arraydtypeclsvals r _getdtypeStringConverter._getdtype sxx}"""rcV[R"U5RR$)z4Returns the type of the dtype of the input variable.)r)rrrrs r _getsubdtypeStringConverter._getsubdtypesxx}""'''rcZUR[R:XaU$UR$)z9Returns dtype for datetime64 and type of dtype otherwise.)rr) datetime64)rrs r _dtypeortypeStringConverter._dtypeortypes# :: &LzzrNc>[U5(a.URRSURU5X45 g[ US5(a[ US[ [45(a&UHnURRSU5 M! gUcS/[U5-nO5[U5nURS/[U5[U5- -5 [X5H2upEURRSURU5XE45 M4 gg)aY Upgrade the mapper of a StringConverter by adding a new function and its corresponding default. The input function (or sequence of functions) and its associated default value (if any) is inserted in penultimate position of the mapper. The corresponding type is estimated from the dtype of the default value. Parameters ---------- func : var Function, or sequence of functions Examples -------- >>> import dateutil.parser >>> import datetime >>> dateparser = dateutil.parser.parse >>> defaultdate = datetime.date(2000, 1, 1) >>> StringConverter.upgrade_mapper(dateparser, default=defaultdate) rDNrCr) callable_mapperinsertrrJrGrrMr^rrN)rfuncdefaultr;fctdfts r upgrade_mapperStringConverter.upgrade_mappers2 D>> KK  rC$4$4W$=t#M N  T: & &$q'E4=11AKK&&r1-&3t9,w-vTS\)ABC. ""2(8(8(=s'HI/'rc[UR5H unup4nURU:XdMX#XE44s $ [UR5H6unup4n[R"URU5(dM1X#XE44s $ [ er) enumeraterrr) issubdtype LookupError)rrrTdeftyper default_defs r _find_map_entryStringConverter._find_map_entryHs09/E +A+{zzW$D6660F 09/E +A+{}}UZZ11D6660Frc[U5UlUc:[UlSUlU=(d SUl[ R"S5nGOSUl[ R"U5nURU5uUlupxn UcXlOX lURcXlURURSS:Xa[!UR[ R"5(a[ R"UlOG[!UR[ R$5(a[ R$UlOSUlUc S 1UlOC[)U[*5(aUR-S 5n[/[1U5S /-5UlUR2UlUR7U5Ul SUlX lg![al [U5(dSn[U[U5-5eXlUc%URS5nO![a SnOf=fURU5nGNf=f![a# X lURSupxnSUlGNf=f) NrFboolzOThe input argument `dtype` is neither a function nor a dtype (got '%s' instead)0rDrEc*[[U55$r)r(floatrxs r r=*StringConverter.__init__..s #eAh-rr,)r_lockedrr_statusrr)rrrrrrrrr issubclassuint64int64missing_valuesrGrHrYrrM _strict_call_callingfunctionr_checked_initial_default) r? dtype_or_funcrrlockedrerrmsgr;rrs r rVStringConverter.__init__VsF|   DIDL"+eDLHHV$E 0  /& +7;7K7KE7R4 4q ?#.L#*Lyy  yyDLLOA..ejj"))44 " DI BHH55 "DI 7DI  !#%$D .#..!/!5!5c!:"%d>&:bT&A"BD  $ 1 1%%e,  'q 0 ..IF#FT--@$@AA) ?'"&))C.%'"&'w/ 0( !& !\\"-    !sHG-I.2sB>az!S))>sz)missing_values must be strings or unicode)rrrrrrrrrrr)iterableallupdate)r?rr testing_valuerrtesters r rStringConverter.updates>    "L))$..*ABDI m2s3))$..*@ADI  !#&%D ;;~.."0!1B>BBB KLL    & &~ 6z*  sC""C76C7) rrrrrrrrrr)NNNF)NNrF),rirjrkrlrmnxrrint_r(rritemsizerrr.float64rnan complex128complex longdoubleintegerfloatingcomplexfloatingstr_rbytes_r classmethodrrrrrrVrrrfrrrrrnr#rr rrs.^5)b!$G  xx!!BHHRXX$6$?$??#r*+ NNRZZ/]]GRVVb[9]]BMM266:ZZb)[[%0''"&&2+>WWi/YY/  ##((  &J&JP  IMG(R C2,#('8 $8<).77rrc [R"U5nUb[S0UD6n[U[5(aUR S5nUR cR[UR/[U5-5nU"XS9n[R"[[X555nU$U"U[UR 5US9UlU$UR b[S0UD6n[S[[UR 5555nUR U:Xa+US:wa%U"S/[UR 5-US9UlU$U"UR US9UlU$![aw [S0UD6n[U5nUcS/[U5-nO&[U[5(aUR S5nU"XUS9n[R"[XS95nU$f=f) a Convenience function to create a `np.dtype` object. The function processes the input `dtype` and matches it with the given names. Parameters ---------- ndtype : var Definition of the dtype. Can be any string or dictionary recognized by the `np.dtype` function, or a sequence of types. names : str or sequence, optional Sequence of strings to use as field names for a structured dtype. For convenience, `names` can be a string of a comma-separated list of names. defaultfmt : str, optional Format string used to define missing names, such as ``"f%i"`` (default) or ``"fields_%02i"``. validationargs : optional A series of optional arguments used to initialize a `NameValidator`. Examples -------- >>> import numpy as np >>> np.lib._iotools.easy_dtype(float) dtype('float64') >>> np.lib._iotools.easy_dtype("i4, f8") dtype([('f0', '>> np.lib._iotools.easy_dtype("i4, f8", defaultfmt="field_%03i") dtype([('field_000', '>> np.lib._iotools.easy_dtype((int, float, float), names="a,b,c") dtype([('a', '>> np.lib._iotools.easy_dtype(float, names="a,b,c") dtype([('a', '.|s"O6N5196Nsrr)formatsrr#)r)rrprGrHrYrrrr^rMrNr]rr)r rrvalidationargsrrnumbered_namesrs r easy_dtyper7sN$M&!  $6~6H%%% C(||# E :; >$s5':";< M (FLL8I3= ?  M\\ %$6~6H""OeC 2v; =D3v;&E s # #KK$EjI$v;<6 MG=sE''A=G('G(r)F)Nr)rm __docformat__numpyr)numpy._core.numeric_corenumericr  numpy._utilsrrr rrr%r-r5rpr Exceptionrr UserWarningrrrr#rr r(s&  +4N2-`]A]A@ZNZNz",J Y      q7q7h Lr