;ò *O)@c@sldZdkZdkZdkZdkZdk Z dk Z dk l ZdkZdklZdklZlZdZd„Zd„Zd„ZeidƒZeo/d eifd „ƒYZd „Zd „Zne i Zd k lZlZd„Zd„Zdfd„ƒYZ dfd„ƒYZ!deeifd„ƒYZ"e#dd„Z$d„Z%e%Z&e#d„Z'e#d„Z(e#d„Z)d„Z*e#d„Z+d„Z,de#d „Z-d!„Z.de#d"„Z/d#„Z0xHe1eƒD]:Z2e0e2ei3e2ƒZ4e4e#j oe4e5ƒe2Z?e@ZAeBZCeDZEeFZGeHZId$„ZJdS(%sá objects -- This module defines a class and set of functions for manipulating arrays of Python objects. It defines functions which correspond to most of the most of the operators defined in Python's operator module, and provides names compatible with most of numarray's universal functions. >>> a = fromlist(["t","u","w"]) >>> a ObjectArray(['t', 'u', 'w']) >>> a+a ObjectArray(['tt', 'uu', 'ww']) >>> add(a,a) ObjectArray(['tt', 'uu', 'ww']) >>> b=a.copy() >>> add(a,a,b) >>> b ObjectArray(['tt', 'uu', 'ww']) >>> a ObjectArray(['t', 'u', 'w']) >>> a[1:2]+a[2:] ObjectArray(['uw']) >>> a = fromlist(["a","b","c"]) >>> add.areduce(a) ObjectArray('abc') >>> add.reduce(a) 'abc' >>> add.reduce(a[1:]) 'bc' >>> add.accumulate(a[1:]) ObjectArray(['b', 'bc']) >>> b = _gen._broadcast(a, (2,5,3)) >>> add.reduce(b, dim=0) ObjectArray([['aa', 'bb', 'cc'], ['aa', 'bb', 'cc'], ['aa', 'bb', 'cc'], ['aa', 'bb', 'cc'], ['aa', 'bb', 'cc']]) >>> add.areduce(b, dim=0) ObjectArray([['aa', 'bb', 'cc'], ['aa', 'bb', 'cc'], ['aa', 'bb', 'cc'], ['aa', 'bb', 'cc'], ['aa', 'bb', 'cc']]) >>> add.reduce(b, dim=1) ObjectArray([['aaaaa', 'bbbbb', 'ccccc'], ['aaaaa', 'bbbbb', 'ccccc']]) >>> add.areduce(b, dim=1) ObjectArray([['aaaaa', 'bbbbb', 'ccccc'], ['aaaaa', 'bbbbb', 'ccccc']]) >>> add.reduce(b, dim=2) ObjectArray([['abc', 'abc', 'abc', 'abc', 'abc'], ['abc', 'abc', 'abc', 'abc', 'abc']]) >>> add.areduce(b, dim=2) ObjectArray([['abc', 'abc', 'abc', 'abc', 'abc'], ['abc', 'abc', 'abc', 'abc', 'abc']]) >>> _dtp(add.accumulate(b, dim=0)) . ObjectArray([[['a', 'b', 'c'], . ['a', 'b', 'c'], . ['a', 'b', 'c'], . ['a', 'b', 'c'], . ['a', 'b', 'c']], . . [['aa', 'bb', 'cc'], . ['aa', 'bb', 'cc'], . ['aa', 'bb', 'cc'], . ['aa', 'bb', 'cc'], . ['aa', 'bb', 'cc']]]) >>> _dtp(add.accumulate(b, dim=1)) . ObjectArray([[['a', 'b', 'c'], . ['aa', 'bb', 'cc'], . ['aaa', 'bbb', 'ccc'], . ['aaaa', 'bbbb', 'cccc'], . ['aaaaa', 'bbbbb', 'ccccc']], . . [['a', 'b', 'c'], . ['aa', 'bb', 'cc'], . ['aaa', 'bbb', 'ccc'], . ['aaaa', 'bbbb', 'cccc'], . ['aaaaa', 'bbbbb', 'ccccc']]]) >>> _dtp(add.accumulate(b, dim=2)) . ObjectArray([[['a', 'ab', 'abc'], . ['a', 'ab', 'abc'], . ['a', 'ab', 'abc'], . ['a', 'ab', 'abc'], . ['a', 'ab', 'abc']], . . [['a', 'ab', 'abc'], . ['a', 'ab', 'abc'], . ['a', 'ab', 'abc'], . ['a', 'ab', 'abc'], . ['a', 'ab', 'abc']]]) >>> a=fromlist(range(1,5)) >>> subtract(a,a) ObjectArray([0, 0, 0, 0]) >>> divide(a,a) ObjectArray([1, 1, 1, 1]) >>> remainder(a,2) ObjectArray([1, 0, 1, 0]) >>> abs(range(-5,5)) ObjectArray([5, 4, 3, 2, 1, 0, 1, 2, 3, 4]) >>> import numarray as _num >>> a = _num.zeros((3,2)) >>> b = _num.ones((3,2)) >>> c = fromlist([["x","y"],["z","w"]]) >>> c[a,a] ObjectArray([['x', 'x'], ['x', 'x'], ['x', 'x']]) >>> c[a,b] ObjectArray([['y', 'y'], ['y', 'y'], ['y', 'y']]) >>> c[b,a] ObjectArray([['z', 'z'], ['z', 'z'], ['z', 'z']]) >>> c[b,b] ObjectArray([['w', 'w'], ['w', 'w'], ['w', 'w']]) >>> a=fromlist(["x"]*25, shape=(5,5)); a ObjectArray([['x', 'x', 'x', 'x', 'x'], ['x', 'x', 'x', 'x', 'x'], ['x', 'x', 'x', 'x', 'x'], ['x', 'x', 'x', 'x', 'x'], ['x', 'x', 'x', 'x', 'x']]) >>> b=arange(5) >>> a[b,b] = 'y'; a ObjectArray([['y', 'x', 'x', 'x', 'x'], ['x', 'y', 'x', 'x', 'x'], ['x', 'x', 'y', 'x', 'x'], ['x', 'x', 'x', 'y', 'x'], ['x', 'x', 'x', 'x', 'y']]) >>> a[b,b] ObjectArray(['y', 'y', 'y', 'y', 'y']) True and Floor division >>> truediv(fromlist(range(10)), 4) ObjectArray([0.0, 0.25, 0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0, 2.25]) >>> floordiv(fromlist(range(10)), 4) ObjectArray([0, 0, 0, 0, 1, 1, 1, 1, 2, 2]) Inplace operators >>> a = fromlist(["a"]*3); a += "b"; a *= 2; a ObjectArray(['abab', 'abab', 'abab']) Unary operators >>> -fromlist(range(3)) ObjectArray([0, -1, -2]) >>> +fromlist(range(3)) ObjectArray([0, 1, 2]) >>> ~fromlist(range(3)) ObjectArray([-1, -2, -3]) N(sdtp(sarange(sputstakeicCsœt|ttfƒoWt|dttfƒo.g}x,|D]}|it|ƒƒq=Wn|}|Sn,t|ti ƒo|i i ƒSn|gSdS(s1_flatten() converts a nested list into a 1D list.iN( s isinstancesobjectssliststupleslsosextends_flattens_gensNDArraysflatstolist(sobjectsslso((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_flatten¶scCs[t|ttfƒot|ƒgt|dƒSn#t|tiƒo |iSngSdS(sH_shapeFromNestedSequence() determines the shape of a nested sequenceiN( s isinstancesssliststupleslens_shapeFromNestedSequences_gensNDArraysshape(ss((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_shapeFromNestedSequenceÈs  cCsYt|ƒdjo;ti|dƒg}t|dƒ}|i|ƒ|SndgSdS(sU_stridesFromShape() computes the strides which correspond to the specified shape.iN(slensshapes_gensproductsheads_stridesFromShapestailsextend(sshapesheadstail((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_stridesFromShapeÔs s_objarrcBs/tZed„Zd„Zd„Zd„ZRS(NcCsW|tjotgti|ƒ}ntii|d|dtddƒ||_ dS(Nsshapesbuffersitemsizei( sobjectssNones_gensproductsshapesNDArrays__init__sselfs _dummyBuffers_objects(sselfsshapesobjects((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys__init__æs "cCs|i|SdS(N(sselfs_objectssoffset(sselfsoffset((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_getitemíscCs||i|}|i ||||i ||||i ||dƒqYWnQxMt |i|ƒD]8}|i||i |||i||i ||(sreprsselfsname(sself((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys__repr__HscCsat|ƒ}|tjo|i|iƒ}n|}t|i ||ƒ|tjo|SndS(N( sasarraysinasin1soutsNones_clones_shapesout1s_applyObjects1sselfsfunc(sselfsinasoutsout1sin1((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys__call__Ks   (s__name__s __module__s__init__s__repr__sNones__call__(((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_UnaryObjectUfuncCs  s_BinaryObjectUfunccBsStZd„Zd„Zed„Zedd„Zedd„Zedd„ZRS(NcCs||_||_dS(N(snamesselfsfunc(sselfsnamesfunc((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys__init__Vs cCsdt|iƒdSdS(Ns_BinaryObjectUfunc(sreprsselfsname(sself((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys__repr__ZscCs…t|ƒ}t|ƒ}|i|ƒ\}}|tjo|i|i ƒ}n|}t |i |||ƒ|tjo|SndS(N(sasarraysinasin1sinbsin2s_dualbroadcastsoutsNones_clones_shapesout1s_applyObjects2sselfsfunc(sselfsinasinbsoutsout1sin1sin2((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys__call__]s    icCs|t|iƒdjo d}nt|ƒ}|djo|id|ƒn|tjo,|ddfiƒ}|i |iƒ}n(|}|djo|id|ƒnt |i||ƒ|djo$|id|ƒ|id|ƒn|tjo|SndS(Niiÿÿÿÿ.i(sdimslensas_shapesasarraysswapaxessoutsNonescopyscols_clonesout1s_reduceObjectssselfsfunc(sselfsasoutsdimsout1scol((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pysareduceis"       cCsJ|i|||ƒ}|tjo$|ifjo |fSqF|SndS(N(sselfsareducesasoutsdimsresultsNones_shape(sselfsasoutsdimsresult((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pysreduce}s   cCsÃt|ƒ}|tjo|i|iƒ}n|}|djo$|id|ƒ|id|ƒnt |i ||ƒ|djo$|id|ƒ|id|ƒn|tjo|SndS(Niÿÿÿÿ( sasarraysasoutsNones_clones_shapesout1sdimsswapaxess_accumulateObjectssselfsfunc(sselfsasoutsdimsout1((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys accumulate…s     ( s__name__s __module__s__init__s__repr__sNones__call__sareducesreduces accumulate(((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_BinaryObjectUfuncUs    s ObjectArraycBsHtZeed„Zd„Zd„Zd„Zd„Zd„Zd„Z d„Z d „Z ed „Z d „Z d „Zd „Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Z d„Zd „Zd!„Z!d"„Z"d#„Z#d$„Z$d%„Z%d&„Z&d'„Z'd(„Z(d)„Z)d*„Z*d+„Z+d,„Z,d-„Z-d.„Z.d/„Z/d0„Z0d1„Z1d2„Z2d3„Z3d4„Z4d5„Z5d6„Z6d7„Z7d8„Z8d9„Z9d:„Z:d;„Z;d<„Z<d=„Z=d>„Z>d?„Z?RS(@NcCsÑ|tj obt|ƒ}|tjo |}n0ti|ƒti|ƒjotdƒ‚nt|ƒ}n|tjo df}nt |ti ƒo |fjo|fg}nt i |||ƒdS(s? >>> ObjectArray(shape=(1,)) ObjectArray([None]) >>> ObjectArray(objects=['t','u']) ObjectArray(['t', 'u']) >>> ObjectArray(objects=['t','u'], shape=(3,)) Traceback (most recent call last): ... ValueError: object list is not compatible with shape s(object list is not compatible with shapeiN(sobjectssNones_shapeFromNestedSequencesoshapesshapes_gensproducts ValueErrors_flattens isinstancesNDArrays_objarrs__init__sself(sselfsshapesobjectssoshape((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys__init__—s        cCs&tii|ƒ}|i|_|SdS(sdview() returns a new array object which refers to the 'data' of the original array. N(s_gensNDArraysviewsselfsvs_objects(sselfsv((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pysview´s cCs*tii|ƒ}|iƒ|d<|SdS(Ns objectlist(s_gensNDArrays __getstate__sselfsstatestolist(sselfsstate((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys __getstate__¼scCs+|d|_|d=tii||ƒdS(s  >>> a = fromlist(["t","u",1]) >>> import cPickle; s = cPickle.dumps(a) >>> cPickle.loads(s) ObjectArray(['t', 'u', 1]) s objectlistN(sstatesselfs_objectss_gensNDArrays __setstate__(sselfsstate((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys __setstate__Ás cCsSt|tƒ ot|gƒ}n|i|ƒ}|i||i|idƒdS(sõ_copyFrom copies another array or object into self. >>> a = ObjectArray(shape=(2,2)); a[:] = "t"; a ObjectArray([['t', 't'], ['t', 't']]) >>> b = fromlist(['u']); a[:] = b; a ObjectArray([['u', 'u'], ['u', 'u']]) >>> c = ObjectArray(objects=['t', 'u', 'w', 'v'], shape=(2,2)) >>> a._copyFrom(c); a ObjectArray([['t', 'u'], ['w', 'v']]) iN( s isinstancesothers ObjectArraysfromlistsselfs _broadcastsbothers _copyObjectss _byteoffset(sselfsothersbother((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys _copyFromÌs cCst|ƒSdS(N(sreprsx(sselfsx((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_formatáscCsdSdS(Ni((sself((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys isbyteswappedäscCs'td|iƒ}|i|ƒ|SdS(scopy() returns a copy of 'self' which has it's own object store referring to the same objects as 'self'. 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ObjectArray(sobj((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pysasarray‡scCstd|d|ƒSdS(s‘creates an object array from the objects in l. If no shape is specified, it is implied by list nesting. >>> fromlist(["t",1,"u",2.0]) ObjectArray(['t', 1, 'u', 2.0]) >>> fromlist(["t","u","w",1], shape=(2,2)) ObjectArray([['t', 'u'], ['w', 1]]) >>> fromlist([['t', 'u'],['w', 1]]) ObjectArray([['t', 'u'], ['w', 1]]) sobjectssshapeN(s ObjectArrayslsshape(slsshape((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pysfromlists cCstdƒ‚dS(sNot supported for ObjectArrays&ObjectArray can't be read from a file.N(s TypeError(sfilesshape((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pysfromfiležscCstdƒ‚dS(sNot supported for ObjectArrays.ObjectArray can't be constructed from a stringN(s TypeError(sssshape((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys fromstring¢sc Cs¾|id}t|iƒdjo1x”t|ƒD]}||||||>> choose(_nc.arange(5)%2, ("t", 1)) ObjectArray(['t', 1, 't', 1, 't']) >>> choose(_nc.arange(3, shape=(3,1))%2, (fromlist(["t","u"]), "v")) ObjectArray([['t', 'u'], ['v', 'v'], ['t', 'u']]) >>> a = ObjectArray(shape=(3,2)) >>> choose(_nc.arange(3, shape=(3,1))%2, (fromlist(["t","u"]), "v"), a); a ObjectArray([['t', 'u'], ['v', 'v'], ['t', 'u']]) iiN(s isinstancesselectors_ncsNumArraysfromlistslists populationsxrangeslensisps_gensNDArrays_nWayBroadcastsinputssoutputsNones ObjectArraysshapesoutput0s_choosestuple(sselectors populationsoutputsinputssisoutput0sp((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pyschoose²s"    cCs€t|iƒdjo3|iƒ}|iƒt|ƒ}|i |ƒn4x0t |i dƒD]}t ||||ƒq]WdS(Nii(slensobjectss_shapestolistslssortsfromlistsossorteds _copyFromsxrangesshapesis_sort(sobjectsssortedsislso((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_sortÕs   iÿÿÿÿcCs±|tjo|i|iƒ}n|}|djo$|id|ƒ|id|ƒnt||ƒ|djo$|id|ƒ|id|ƒn|tjo|SndS(sUsort() sorts 'objects' along 'axis' putting the result in 'output' or returning the result if no output is specified. >>> a = ObjectArray(shape=(5,5)) >>> a[:] = range(5,0,-1) >>> sort(a) ObjectArray([[1, 2, 3, 4, 5], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5]]) >>> a.transpose() >>> sort(a, axis=0) ObjectArray([[1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4], [5, 5, 5, 5, 5]]) iÿÿÿÿN( soutputsNonesobjectss_clones_shapesoutput0saxissswapaxess_sort(sobjectssaxissoutputsoutput0((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pyssortßs     c CsÑt|iƒdjo„|iƒ}tt|ƒƒ}t||ƒ} | i ƒgi }| D]\}}||ƒq[~}ti|ƒ}|i|ƒn4x0t|idƒD]}t||||ƒq®WdS(Nii(slensobjectss_shapestolistslosrangeslwszipszssortsappends_[1]soswssws_ncsfromlistswitnesss _copyFromsxrangesis_argsort( sobjectsswitnesssislossws_[1]slwsoswsz((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_argsorts  -cCs±|tjoti|iƒ}n|}|djo$|id|ƒ|id|ƒnt ||ƒ|djo$|id|ƒ|id|ƒn|tjo|SndS(s7argsort() returns the sort order for 'objects' sorted along 'axis'. >>> a = ObjectArray(shape=(5,5)) >>> a[:] = ['e','d','c','b','a'] >>> argsort(a) array([[4, 3, 2, 1, 0], [4, 3, 2, 1, 0], [4, 3, 2, 1, 0], [4, 3, 2, 1, 0], [4, 3, 2, 1, 0]]) iÿÿÿÿN( soutputsNones_ncszerossobjectss_shapesoutput0saxissswapaxess_argsort(sobjectssaxissoutputsoutput0((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pysargsorts      cCsôt|ƒttiƒjotSnx‰dddgD]x}|}yt|tdg|ƒƒWnJt j o>yt|tdg|ƒƒWq«t j o q4q«XnXPq4W|djot ||ƒSn#|djot ||ƒSntSdS(Niiisx( stypesfs_opsaddsNonesisargssapplystuples TypeErrors_UnaryObjectUfuncsnames_BinaryObjectUfunc(snamesfsisargs((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys_magicOp,s$   cCs#dk}dk}|i|ƒSdS(N(sdoctestsobjectsstestmod(sobjectssdoctest((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pystestVs(Ks__doc__sgenerics_gensmemorys_memsoperators_ops numarraycores_ncs numerictypess_nts _objectarraysnumtestsdtps_dtpstypess_typessarangesputstakes _PROTOTYPEs_flattens_shapeFromNestedSequences_stridesFromShapes new_memorys _dummyBuffersNDArrays_objarrs_applyObjects1s_applyObjects2s_reduceObjectss_accumulateObjectss_UnaryObjectUfuncs_BinaryObjectUfuncs ObjectArraysNonesarraysasarrays inputarraysfromlistsfromfiles fromstrings_chooseschooses_sortssorts_argsortsargsorts_magicOpsdirsnames__dict__stheUfuncsglobalsssubssubtractsmulsmultiplysdivsdividesmods remainderseqsequalsnes not_equalsltslesssgtsgreatersles less_equalsges greater_equalstest(2sfromlists_accumulateObjectssdivideslessschooses _dummyBuffers inputarrays_BinaryObjectUfuncs_shapeFromNestedSequencesarrays_UnaryObjectUfuncs_reduceObjectss fromstringsasarrays remainders _objectarrays_ntsnamesmultiplystakestests_ncsfromfiles_applyObjects2s_applyObjects1s_choosessorts _PROTOTYPEs_objarrsgreaters_magicOps_genstheUfuncs_stridesFromShapesputssubtracts_argsorts_typess not_equals_ops_sorts_dtpsequalsarangesargsorts_flattens_mems ObjectArrays less_equals greater_equal((sI/mit/python/arch/i386_rh9/lib/python2.3/site-packages/numarray/objects.pys?£sn           "   Aì     # "