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apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.foreachRDD
|
def foreachRDD(self, func):
"""
Apply a function to each RDD in this DStream.
"""
if func.__code__.co_argcount == 1:
old_func = func
func = lambda t, rdd: old_func(rdd)
jfunc = TransformFunction(self._sc, func, self._jrdd_deserializer)
api = self._ssc._jvm.PythonDStream
api.callForeachRDD(self._jdstream, jfunc)
|
python
|
def foreachRDD(self, func):
"""
Apply a function to each RDD in this DStream.
"""
if func.__code__.co_argcount == 1:
old_func = func
func = lambda t, rdd: old_func(rdd)
jfunc = TransformFunction(self._sc, func, self._jrdd_deserializer)
api = self._ssc._jvm.PythonDStream
api.callForeachRDD(self._jdstream, jfunc)
|
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Apply a function to each RDD in this DStream.
|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L155-L164
|
train
|
Apply a function to each RDD in this DStream.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(50) + chr(50) + chr(1352 - 1301), 41622 - 41614), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1011111 + 0o20) + chr(500 - 451) + chr(0b11010 + 0o33) + chr(0b110100), 30626 - 30618), ehT0Px3KOsy9('\060' + chr(111) + chr(1001 - 952) + chr(411 - 358) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\064' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1872 - 1820) + '\062', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110001) + '\065', 63164 - 63156), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(50) + chr(0b110100) + '\x34', 41268 - 41260), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(52) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1100 + 0o45) + '\061' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5793 - 5682) + chr(792 - 742) + chr(0b1001 + 0o56) + '\067', 47669 - 47661), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101010 + 0o10) + chr(48) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110010) + chr(0b100100 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\x31' + chr(51) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(355 - 304), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101000 + 0o7) + chr(1110 - 1061) + chr(1547 - 1499) + chr(1949 - 1895), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(48) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001 + 0o1) + chr(51) + chr(0b1 + 0o63), 34844 - 34836), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(9527 - 9416) + '\063', 0b1000), ehT0Px3KOsy9(chr(645 - 597) + chr(0b10001 + 0o136) + chr(51) + chr(0b110001) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6107 - 5996) + chr(0b110001) + chr(0b110001) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110001) + '\x35' + chr(0b110010 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b10100 + 0o35) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + '\066', 17178 - 17170), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(49) + chr(143 - 89), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(8817 - 8706) + chr(54) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(881 - 832) + chr(0b1 + 0o57), 58677 - 58669), ehT0Px3KOsy9(chr(1278 - 1230) + chr(0b1001100 + 0o43) + chr(0b110001) + chr(1595 - 1543) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + chr(49) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(2075 - 2021) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1313 - 1263) + '\x30' + '\067', 8), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + '\x32' + chr(0b110101 + 0o0) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(5906 - 5795) + chr(49) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(3696 - 3585) + '\063' + chr(1464 - 1415), 36204 - 36196), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(0b110001) + chr(0b110001) + chr(0b110101 + 0o1), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\067', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1100110 + 0o11) + chr(0b110011 + 0o4), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2146 - 2098) + '\157' + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd'), chr(100) + '\x65' + chr(99) + chr(10630 - 10519) + chr(0b110111 + 0o55) + '\x65')(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + chr(2447 - 2391)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cq8OelMnrBM0(oVre8I6UXc3b, EzOtJ3kbK5x4):
if xafqLlk3kkUe(EzOtJ3kbK5x4.__code__, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\x030\xc3\xd0\xaa\xc7\xcf=l\xcb'), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(0b11100 + 0o110) + chr(0b1010111 + 0o16))('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56))) == ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 2427 - 2419):
onldB1u_GXZI = EzOtJ3kbK5x4
def EzOtJ3kbK5x4(YeT3l7JgTbWR, VwDkkS2adETP):
return onldB1u_GXZI(VwDkkS2adETP)
qlUbl4S1nAKT = KcCGtObbRcwG(oVre8I6UXc3b._sc, EzOtJ3kbK5x4, oVre8I6UXc3b._jrdd_deserializer)
M8HTx_I8VoWH = oVre8I6UXc3b._ssc._jvm.PythonDStream
xafqLlk3kkUe(M8HTx_I8VoWH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\r\x03\xce\xe4\xa2\xd6\xc5)a\xd7J\xc3\x91'), '\144' + chr(8874 - 8773) + chr(0b1100011) + chr(10649 - 10538) + chr(4921 - 4821) + chr(0b1100101))('\x75' + chr(12161 - 12045) + chr(9250 - 9148) + '\055' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x06\x0b\xd1\xd6\xbf\xc1\xc1%'), '\x64' + '\145' + chr(99) + chr(6115 - 6004) + chr(100) + '\145')('\x75' + chr(6713 - 6597) + '\x66' + '\055' + chr(0b111000))), qlUbl4S1nAKT)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.pprint
|
def pprint(self, num=10):
"""
Print the first num elements of each RDD generated in this DStream.
@param num: the number of elements from the first will be printed.
"""
def takeAndPrint(time, rdd):
taken = rdd.take(num + 1)
print("-------------------------------------------")
print("Time: %s" % time)
print("-------------------------------------------")
for record in taken[:num]:
print(record)
if len(taken) > num:
print("...")
print("")
self.foreachRDD(takeAndPrint)
|
python
|
def pprint(self, num=10):
"""
Print the first num elements of each RDD generated in this DStream.
@param num: the number of elements from the first will be printed.
"""
def takeAndPrint(time, rdd):
taken = rdd.take(num + 1)
print("-------------------------------------------")
print("Time: %s" % time)
print("-------------------------------------------")
for record in taken[:num]:
print(record)
if len(taken) > num:
print("...")
print("")
self.foreachRDD(takeAndPrint)
|
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Print the first num elements of each RDD generated in this DStream.
@param num: the number of elements from the first will be printed.
|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L166-L183
|
train
|
Prints the first num elements of each RDD generated in this DStream.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + '\064' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7247 - 7136) + chr(264 - 214) + '\063' + chr(48), 57680 - 57672), ehT0Px3KOsy9('\060' + chr(220 - 109) + chr(0b110011) + chr(49) + chr(316 - 264), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(54), 40318 - 40310), ehT0Px3KOsy9(chr(0b110000) + chr(3554 - 3443) + chr(0b101011 + 0o7) + chr(0b110010) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + '\x33' + '\x33' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(488 - 437) + chr(2463 - 2409), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x33' + '\x37', 63837 - 63829), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(4760 - 4649) + chr(840 - 786) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + '\x33' + '\062' + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + chr(370 - 319) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(50) + chr(0b11101 + 0o25) + chr(0b100001 + 0o22), 38019 - 38011), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110100 + 0o1) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010), 55094 - 55086), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110 + 0o55) + chr(52) + chr(1382 - 1327), 0o10), ehT0Px3KOsy9(chr(102 - 54) + chr(0b100101 + 0o112) + chr(0b110010) + '\066' + chr(0b110111), 24468 - 24460), ehT0Px3KOsy9(chr(2297 - 2249) + chr(9462 - 9351) + chr(0b1 + 0o62) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\063' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1338 - 1290) + '\157' + '\062' + chr(0b110111) + chr(98 - 46), 0b1000), ehT0Px3KOsy9(chr(1337 - 1289) + '\x6f' + chr(0b101100 + 0o5) + chr(50) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + '\x31' + '\062' + chr(835 - 787), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + chr(2174 - 2123) + chr(0b110100) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(50) + '\066', 0o10), ehT0Px3KOsy9(chr(61 - 13) + chr(111) + '\x31' + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(2171 - 2117) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1989 - 1941) + '\x6f' + chr(51) + chr(0b100100 + 0o20) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1035 - 986) + chr(133 - 82) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\064' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(299 - 251) + chr(0b1000 + 0o147) + chr(49) + chr(0b110001 + 0o1) + chr(55), 0o10), ehT0Px3KOsy9(chr(211 - 163) + chr(111) + chr(0b10110 + 0o40) + '\063', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\062' + chr(0b110100) + chr(0b1101 + 0o52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x33' + '\x36', 57236 - 57228), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(502 - 449) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(495 - 446) + chr(0b11111 + 0o26) + chr(0b101000 + 0o10), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\061' + '\x31', 0o10), ehT0Px3KOsy9(chr(1045 - 997) + chr(2341 - 2230) + chr(50) + chr(83 - 30) + chr(0b100010 + 0o22), 38302 - 38294), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100010 + 0o20) + chr(0b110101) + chr(0b11110 + 0o22), 51613 - 51605)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b'), chr(9667 - 9567) + chr(2731 - 2630) + chr(99) + '\x6f' + chr(3280 - 3180) + chr(5618 - 5517))(chr(117) + '\164' + chr(4466 - 4364) + chr(0b110 + 0o47) + chr(0b101100 + 0o14)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def quvQcGrKjCXS(oVre8I6UXc3b, jFuGPhnxN9fq=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\062', 0b1000)):
def RDzpR9917VMQ(ltvhPP4VhXre, VwDkkS2adETP):
Od26xSTQlBdX = VwDkkS2adETP.take(jFuGPhnxN9fq + ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b101100 + 0o103) + '\061', 18780 - 18772))
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xb5\xe1+\xba\xf03\xb2?\x1f\xfd1\xbeE/\xca\x9a4p\x91\x7f}\xcd;C-\x1d\x9e\xccrIz\x1e\x8as@E\xe4\x81\x85\x08\xb5\xe1'), '\x64' + chr(1493 - 1392) + chr(0b1010001 + 0o22) + chr(0b101111 + 0o100) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + '\146' + '\055' + chr(56)))
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'q\xf1\xa1c\xad\xfd;\xec'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(0b1101111 + 0o6) + chr(0b1110000 + 0o4) + chr(0b1100110) + chr(807 - 762) + chr(56)) % ltvhPP4VhXre)
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xb5\xe1+\xba\xf03\xb2?\x1f\xfd1\xbeE/\xca\x9a4p\x91\x7f}\xcd;C-\x1d\x9e\xccrIz\x1e\x8as@E\xe4\x81\x85\x08\xb5\xe1'), chr(0b101100 + 0o70) + chr(3509 - 3408) + chr(0b111011 + 0o50) + chr(0b10011 + 0o134) + chr(0b1100100) + chr(4949 - 4848))('\165' + '\164' + chr(0b10010 + 0o124) + chr(45) + chr(3118 - 3062)))
for SIWbn6wzltxD in Od26xSTQlBdX[:jFuGPhnxN9fq]:
zLUzGokYBM2Z(SIWbn6wzltxD)
if c2A0yzQpDQB3(Od26xSTQlBdX) > jFuGPhnxN9fq:
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\xb6\xe2'), chr(100) + chr(8225 - 8124) + chr(9594 - 9495) + chr(0b1101111) + chr(9409 - 9309) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(6920 - 6818) + '\x2d' + chr(0b111000 + 0o0)))
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + chr(9526 - 9425) + chr(6383 - 6284) + '\157' + chr(3021 - 2921) + chr(0b1100101))(chr(0b11011 + 0o132) + '\164' + chr(0b1100110) + '\055' + chr(0b111000)))
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'C\xf7\xbec\xf6\xbev\xcdVv'), chr(0b110100 + 0o60) + '\145' + chr(3709 - 3610) + chr(0b1101111) + chr(100) + chr(0b1011101 + 0o10))(chr(117) + '\x74' + '\x66' + chr(45) + chr(110 - 54)))(RDzpR9917VMQ)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.persist
|
def persist(self, storageLevel):
"""
Persist the RDDs of this DStream with the given storage level
"""
self.is_cached = True
javaStorageLevel = self._sc._getJavaStorageLevel(storageLevel)
self._jdstream.persist(javaStorageLevel)
return self
|
python
|
def persist(self, storageLevel):
"""
Persist the RDDs of this DStream with the given storage level
"""
self.is_cached = True
javaStorageLevel = self._sc._getJavaStorageLevel(storageLevel)
self._jdstream.persist(javaStorageLevel)
return self
|
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"=",
"self",
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"_sc",
".",
"_getJavaStorageLevel",
"(",
"storageLevel",
")",
"self",
".",
"_jdstream",
".",
"persist",
"(",
"javaStorageLevel",
")",
"return",
"self"
] |
Persist the RDDs of this DStream with the given storage level
|
[
"Persist",
"the",
"RDDs",
"of",
"this",
"DStream",
"with",
"the",
"given",
"storage",
"level"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L219-L226
|
train
|
Persist the RDDs of this DStream with the given storage level.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b101001 + 0o14) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(383 - 272) + '\061' + '\x34' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x35' + chr(0b110011), 27458 - 27450), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(51) + '\063' + chr(0b10000 + 0o46), 0b1000), ehT0Px3KOsy9(chr(823 - 775) + chr(111) + chr(1138 - 1087) + chr(559 - 510) + chr(54), 34718 - 34710), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\066' + chr(68 - 18), 0o10), ehT0Px3KOsy9('\060' + chr(9984 - 9873) + '\062' + chr(55) + chr(0b110011), 31830 - 31822), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + chr(2423 - 2369), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11101 + 0o25) + chr(1747 - 1693) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\062' + '\x35', 48813 - 48805), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\x32' + chr(341 - 290) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\064' + '\063', 0o10), ehT0Px3KOsy9(chr(2060 - 2012) + '\x6f' + chr(124 - 73) + chr(1300 - 1247) + chr(1423 - 1373), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101010 + 0o5) + '\066' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\063' + chr(1353 - 1304) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b11101 + 0o26), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(55) + '\x31', 36657 - 36649), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b100001 + 0o20) + chr(1249 - 1198), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7221 - 7110) + chr(50) + '\x31' + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8461 - 8350) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(51) + '\066', 0b1000), ehT0Px3KOsy9(chr(306 - 258) + chr(111) + '\x33' + chr(0b10 + 0o56) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\060' + '\x35', 36015 - 36007), ehT0Px3KOsy9('\x30' + chr(4614 - 4503) + '\062' + chr(0b110100) + chr(55), 7044 - 7036), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + '\x31' + chr(654 - 606) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + chr(2084 - 2033) + '\063' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(6276 - 6165) + chr(0b110010) + chr(1474 - 1424) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\061' + chr(0b110101), 15041 - 15033), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + '\062' + chr(0b10000 + 0o47) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10011 + 0o36) + chr(55) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + chr(0b110010), 11799 - 11791), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b101000 + 0o11) + '\065', 31240 - 31232), ehT0Px3KOsy9(chr(1825 - 1777) + chr(4661 - 4550) + chr(2423 - 2371) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b101101 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(424 - 371), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b10011 + 0o40) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(206 - 155) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(3631 - 3520) + chr(2138 - 2085) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x07'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b101110 + 0o101) + chr(0b1100100) + chr(3354 - 3253))('\x75' + chr(0b1110100) + '\x66' + chr(0b100001 + 0o14) + chr(0b1010 + 0o56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ffhTFjRzfWuu(oVre8I6UXc3b, J4VefmJfXQom):
oVre8I6UXc3b.AMU28eGTfjIH = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 0o10)
w7W9_exEG8V4 = oVre8I6UXc3b._sc._getJavaStorageLevel(J4VefmJfXQom)
xafqLlk3kkUe(oVre8I6UXc3b._jdstream, xafqLlk3kkUe(SXOLrMavuUCe(b'Y\x00\x99\xad\xa7\xc1\xcf'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(8837 - 8737) + chr(974 - 873))('\x75' + chr(0b1110100) + chr(0b1000 + 0o136) + chr(0b101101) + chr(2085 - 2029)))(w7W9_exEG8V4)
return oVre8I6UXc3b
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.checkpoint
|
def checkpoint(self, interval):
"""
Enable periodic checkpointing of RDDs of this DStream
@param interval: time in seconds, after each period of that, generated
RDD will be checkpointed
"""
self.is_checkpointed = True
self._jdstream.checkpoint(self._ssc._jduration(interval))
return self
|
python
|
def checkpoint(self, interval):
"""
Enable periodic checkpointing of RDDs of this DStream
@param interval: time in seconds, after each period of that, generated
RDD will be checkpointed
"""
self.is_checkpointed = True
self._jdstream.checkpoint(self._ssc._jduration(interval))
return self
|
[
"def",
"checkpoint",
"(",
"self",
",",
"interval",
")",
":",
"self",
".",
"is_checkpointed",
"=",
"True",
"self",
".",
"_jdstream",
".",
"checkpoint",
"(",
"self",
".",
"_ssc",
".",
"_jduration",
"(",
"interval",
")",
")",
"return",
"self"
] |
Enable periodic checkpointing of RDDs of this DStream
@param interval: time in seconds, after each period of that, generated
RDD will be checkpointed
|
[
"Enable",
"periodic",
"checkpointing",
"of",
"RDDs",
"of",
"this",
"DStream"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L228-L237
|
train
|
Enable periodic checkpointing of generated
RDDs of this DStream.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(492 - 444) + chr(4657 - 4546) + chr(49) + chr(48) + chr(0b101 + 0o53), 0b1000), ehT0Px3KOsy9(chr(309 - 261) + '\x6f' + chr(0b110001) + '\x36' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(9647 - 9536) + chr(0b110001) + chr(0b110100) + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2164 - 2113) + chr(0b110001) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(669 - 620) + chr(48) + '\x37', 24376 - 24368), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110011 + 0o0) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x35' + chr(53), 30060 - 30052), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(49) + chr(1754 - 1705) + '\x31', 0o10), ehT0Px3KOsy9(chr(1666 - 1618) + chr(4408 - 4297) + '\063' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(4601 - 4490) + chr(0b110010) + chr(1951 - 1902) + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(2033 - 1983) + '\062', 38026 - 38018), ehT0Px3KOsy9(chr(48) + chr(3112 - 3001) + '\x32' + '\065' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(558 - 510) + '\157' + chr(429 - 380) + chr(0b110 + 0o55) + chr(1891 - 1843), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(51) + chr(1077 - 1026) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(7756 - 7645) + chr(0b101111 + 0o4) + '\x31' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(1315 - 1267) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\066' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1979 - 1931) + chr(0b101010 + 0o105) + chr(911 - 861) + chr(0b110100), 8874 - 8866), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + chr(0b11110 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + '\x37', 0o10), ehT0Px3KOsy9(chr(1302 - 1254) + chr(4215 - 4104) + '\063' + '\062' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(471 - 423), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o1) + chr(0b110110) + chr(52), 51374 - 51366), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(11622 - 11511) + chr(0b11110 + 0o25) + chr(0b111 + 0o54) + chr(0b1010 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b100101 + 0o16) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(49) + chr(55) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(2316 - 2267) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1360 - 1312) + chr(0b1001110 + 0o41) + chr(50) + '\061' + chr(0b10010 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(1885 - 1835) + chr(51) + '\063', 14101 - 14093), ehT0Px3KOsy9(chr(48) + chr(8851 - 8740) + '\x33' + '\x30' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110010) + chr(662 - 607), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(54) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(145 - 97) + chr(0b1101111) + chr(50) + chr(0b110010) + chr(0b101101 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b101100 + 0o6) + chr(0b11111 + 0o25) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110111) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + '\061' + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(309 - 261) + chr(0b1100110 + 0o11) + chr(1010 - 959) + '\065', 8196 - 8188), ehT0Px3KOsy9('\x30' + chr(10170 - 10059) + chr(0b110011) + chr(0b110011) + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o20) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'n'), '\x64' + '\x65' + '\x63' + chr(0b1011101 + 0o22) + '\144' + chr(6943 - 6842))(chr(0b100010 + 0o123) + chr(116) + chr(4979 - 4877) + chr(102 - 57) + chr(0b11001 + 0o37)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DNoMzyusA3wb(oVre8I6UXc3b, LAc8us3cC7z2):
oVre8I6UXc3b.xgrHdO8VEk1n = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), ord("\x08"))
xafqLlk3kkUe(oVre8I6UXc3b._jdstream, xafqLlk3kkUe(SXOLrMavuUCe(b'#\x1b\x06\xab,(\x82 v\xff'), chr(4521 - 4421) + chr(0b1100101) + chr(0b110010 + 0o61) + chr(0b11010 + 0o125) + chr(0b1100100) + '\x65')('\x75' + chr(7818 - 7702) + '\x66' + chr(1114 - 1069) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b._ssc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\x19\x07\xbd59\x99 w\xe5'), '\x64' + chr(5489 - 5388) + chr(0b1010111 + 0o14) + chr(5539 - 5428) + '\x64' + chr(0b1100101))('\x75' + chr(3809 - 3693) + '\x66' + chr(45) + chr(2486 - 2430)))(LAc8us3cC7z2))
return oVre8I6UXc3b
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.groupByKey
|
def groupByKey(self, numPartitions=None):
"""
Return a new DStream by applying groupByKey on each RDD.
"""
if numPartitions is None:
numPartitions = self._sc.defaultParallelism
return self.transform(lambda rdd: rdd.groupByKey(numPartitions))
|
python
|
def groupByKey(self, numPartitions=None):
"""
Return a new DStream by applying groupByKey on each RDD.
"""
if numPartitions is None:
numPartitions = self._sc.defaultParallelism
return self.transform(lambda rdd: rdd.groupByKey(numPartitions))
|
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"groupByKey",
"(",
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"=",
"None",
")",
":",
"if",
"numPartitions",
"is",
"None",
":",
"numPartitions",
"=",
"self",
".",
"_sc",
".",
"defaultParallelism",
"return",
"self",
".",
"transform",
"(",
"lambda",
"rdd",
":",
"rdd",
".",
"groupByKey",
"(",
"numPartitions",
")",
")"
] |
Return a new DStream by applying groupByKey on each RDD.
|
[
"Return",
"a",
"new",
"DStream",
"by",
"applying",
"groupByKey",
"on",
"each",
"RDD",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L239-L245
|
train
|
Return a new DStream by applying groupByKey on each RDD.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(5748 - 5637) + '\x31' + chr(500 - 451) + chr(0b11001 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\067', 0b1000), ehT0Px3KOsy9(chr(1861 - 1813) + '\157' + '\x33' + '\x30' + chr(0b101 + 0o54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + '\062' + '\063' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10681 - 10570) + '\x31' + chr(0b110110) + chr(1957 - 1907), ord("\x08")), ehT0Px3KOsy9(chr(1389 - 1341) + chr(111) + chr(0b110001) + chr(655 - 602) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110100) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b110010) + chr(0b110001) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(368 - 318) + '\x30' + chr(0b11100 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b100100 + 0o17) + chr(2325 - 2272) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(8340 - 8229) + chr(0b110010) + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1411 - 1363) + chr(111) + '\x31' + chr(81 - 28) + chr(0b110101), 23845 - 23837), ehT0Px3KOsy9(chr(0b110000) + chr(10425 - 10314) + '\065' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(1091 - 1041) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b10001 + 0o46) + chr(881 - 833), 0b1000), ehT0Px3KOsy9('\x30' + chr(1821 - 1710) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(2251 - 2203) + '\157' + '\x32' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + chr(0b11011 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x33' + chr(0b110001 + 0o2) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(7814 - 7703) + chr(1480 - 1429) + '\061' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x32' + chr(0b110000) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + chr(4145 - 4034) + chr(0b110010) + chr(0b110110) + chr(1013 - 959), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b101100 + 0o10), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110000) + chr(652 - 603), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\063' + '\066' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2240 - 2190) + '\065' + chr(1709 - 1661), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\x33' + '\x36' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001 + 0o4) + chr(1359 - 1311), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100001 + 0o20) + chr(0b1001 + 0o54) + chr(0b100000 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\062' + chr(54) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x37' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + '\x31', 49415 - 49407), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b110000 + 0o2) + chr(0b100100 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101010 + 0o11) + '\066', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(55) + chr(0b1000 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\066' + chr(2870 - 2815), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + '\x33' + '\x36' + chr(0b110101), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(1183 - 1135), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'e'), '\144' + chr(0b1010110 + 0o17) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(7602 - 7485) + chr(7417 - 7301) + chr(6037 - 5935) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rBMZP7gJSr5q(oVre8I6UXc3b, Q9o8DFLjAoB0=None):
if Q9o8DFLjAoB0 is None:
Q9o8DFLjAoB0 = oVre8I6UXc3b._sc.defaultParallelism
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'?u\xa0\xf1\x01\x0c\xcf\xffi'), chr(3912 - 3812) + chr(491 - 390) + chr(7653 - 7554) + '\157' + chr(100) + '\x65')(chr(8959 - 8842) + chr(0b100101 + 0o117) + chr(0b1100110) + chr(45) + chr(0b11100 + 0o34)))(lambda VwDkkS2adETP: xafqLlk3kkUe(VwDkkS2adETP, xafqLlk3kkUe(SXOLrMavuUCe(b'9E\x8c\xc5"]\xc7\xc7W\xf1\xd8]'), chr(5048 - 4948) + chr(101) + chr(99) + chr(1615 - 1504) + chr(0b1100100) + chr(101))(chr(1815 - 1698) + chr(116) + '\146' + chr(45) + chr(0b111000)))(Q9o8DFLjAoB0))
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.countByValue
|
def countByValue(self):
"""
Return a new DStream in which each RDD contains the counts of each
distinct value in each RDD of this DStream.
"""
return self.map(lambda x: (x, 1)).reduceByKey(lambda x, y: x+y)
|
python
|
def countByValue(self):
"""
Return a new DStream in which each RDD contains the counts of each
distinct value in each RDD of this DStream.
"""
return self.map(lambda x: (x, 1)).reduceByKey(lambda x, y: x+y)
|
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"reduceByKey",
"(",
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"y",
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")"
] |
Return a new DStream in which each RDD contains the counts of each
distinct value in each RDD of this DStream.
|
[
"Return",
"a",
"new",
"DStream",
"in",
"which",
"each",
"RDD",
"contains",
"the",
"counts",
"of",
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"of",
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L247-L252
|
train
|
Return a new DStream with the counts of each distinct value in each RDD.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(2461 - 2408) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b11111 + 0o26) + chr(388 - 334), 14171 - 14163), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(0b110110), 14907 - 14899), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10100 + 0o40) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\062' + chr(0b11001 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\063' + chr(450 - 401) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b100 + 0o56) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(485 - 434) + '\061' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x33', 35387 - 35379), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x31' + chr(1610 - 1559) + '\066', 54980 - 54972), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b110001 + 0o6) + '\x36', 4782 - 4774), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\064' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1882 - 1833) + chr(734 - 682) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b10011 + 0o42) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(7221 - 7110) + chr(50) + chr(0b100011 + 0o16) + chr(0b101101 + 0o11), 0b1000), ehT0Px3KOsy9(chr(1518 - 1470) + chr(0b1101111) + chr(55) + chr(0b101111 + 0o3), 0o10), ehT0Px3KOsy9(chr(927 - 879) + chr(0b1101111) + chr(0b110011) + chr(0b110011) + '\x31', 11228 - 11220), ehT0Px3KOsy9(chr(910 - 862) + chr(0b1101111) + chr(55) + '\x35', 12418 - 12410), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + '\061' + chr(48), 0o10), ehT0Px3KOsy9(chr(1933 - 1885) + chr(111) + '\x33' + chr(50) + chr(1056 - 1008), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x33' + chr(86 - 35) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(11425 - 11314) + '\x31' + chr(55) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(2681 - 2629) + chr(184 - 130), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(11248 - 11137) + chr(1610 - 1559) + chr(1561 - 1512) + chr(0b11110 + 0o30), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + '\063' + '\x34' + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(1185 - 1137) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110101) + '\067', 0o10), ehT0Px3KOsy9(chr(1832 - 1784) + chr(0b1101111) + '\063' + chr(0b110111) + chr(926 - 875), 0o10), ehT0Px3KOsy9(chr(1134 - 1086) + '\157' + chr(0b10011 + 0o40) + chr(54), 12186 - 12178), ehT0Px3KOsy9(chr(731 - 683) + '\157' + '\x31' + chr(1482 - 1429) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8872 - 8761) + chr(51) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1812 - 1763) + '\x34' + chr(55), 14495 - 14487), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + '\x36' + '\x35', 38023 - 38015), ehT0Px3KOsy9(chr(1176 - 1128) + chr(111) + chr(0b110001) + chr(0b110001) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110000) + chr(2570 - 2517), ord("\x08")), ehT0Px3KOsy9(chr(1925 - 1877) + '\x6f' + '\x31' + chr(0b10101 + 0o36) + chr(1912 - 1861), 1296 - 1288), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b10 + 0o57) + chr(0b110110) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100101 + 0o15) + chr(0b110001 + 0o1) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(772 - 717) + '\061', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1954 - 1901) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'A'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(1571 - 1470))(chr(117) + chr(10663 - 10547) + '\146' + chr(0b100010 + 0o13) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Lb_0NXZi4PRm(oVre8I6UXc3b):
return xafqLlk3kkUe(oVre8I6UXc3b.map(lambda OeWW0F1dBPRQ: (OeWW0F1dBPRQ, ehT0Px3KOsy9('\060' + chr(111) + chr(49), ord("\x08")))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\x8bRV\xf4\xad\xd0\xb5H;G'), chr(0b1011000 + 0o14) + chr(0b1100101) + '\x63' + chr(9067 - 8956) + chr(0b1100100) + '\x65')(chr(117) + '\x74' + '\146' + chr(0b101000 + 0o5) + '\070'))(lambda OeWW0F1dBPRQ, SqiSOtYOqOJH: OeWW0F1dBPRQ + SqiSOtYOqOJH)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.saveAsTextFiles
|
def saveAsTextFiles(self, prefix, suffix=None):
"""
Save each RDD in this DStream as at text file, using string
representation of elements.
"""
def saveAsTextFile(t, rdd):
path = rddToFileName(prefix, suffix, t)
try:
rdd.saveAsTextFile(path)
except Py4JJavaError as e:
# after recovered from checkpointing, the foreachRDD may
# be called twice
if 'FileAlreadyExistsException' not in str(e):
raise
return self.foreachRDD(saveAsTextFile)
|
python
|
def saveAsTextFiles(self, prefix, suffix=None):
"""
Save each RDD in this DStream as at text file, using string
representation of elements.
"""
def saveAsTextFile(t, rdd):
path = rddToFileName(prefix, suffix, t)
try:
rdd.saveAsTextFile(path)
except Py4JJavaError as e:
# after recovered from checkpointing, the foreachRDD may
# be called twice
if 'FileAlreadyExistsException' not in str(e):
raise
return self.foreachRDD(saveAsTextFile)
|
[
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"=",
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"(",
"t",
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"rdd",
")",
":",
"path",
"=",
"rddToFileName",
"(",
"prefix",
",",
"suffix",
",",
"t",
")",
"try",
":",
"rdd",
".",
"saveAsTextFile",
"(",
"path",
")",
"except",
"Py4JJavaError",
"as",
"e",
":",
"# after recovered from checkpointing, the foreachRDD may",
"# be called twice",
"if",
"'FileAlreadyExistsException'",
"not",
"in",
"str",
"(",
"e",
")",
":",
"raise",
"return",
"self",
".",
"foreachRDD",
"(",
"saveAsTextFile",
")"
] |
Save each RDD in this DStream as at text file, using string
representation of elements.
|
[
"Save",
"each",
"RDD",
"in",
"this",
"DStream",
"as",
"at",
"text",
"file",
"using",
"string",
"representation",
"of",
"elements",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L254-L268
|
train
|
Save each RDD in this DStream as text files using string
representation of elements.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1000 + 0o147) + '\063' + chr(968 - 919) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\064' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(0b110001) + '\060' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1231 - 1183) + chr(1624 - 1513) + '\x31' + chr(1046 - 996) + chr(0b101011 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\063' + chr(2185 - 2137) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2168 - 2120) + chr(0b1101101 + 0o2) + chr(49 - 0) + '\x32' + '\064', 8), ehT0Px3KOsy9(chr(692 - 644) + chr(0b1101001 + 0o6) + chr(0b101111 + 0o2) + '\061' + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1899 - 1850) + chr(929 - 876) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b10001 + 0o136) + '\x33' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1250 - 1201) + '\x36' + chr(54), 40116 - 40108), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(49) + chr(51) + chr(1783 - 1730), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10675 - 10564) + chr(0b101110 + 0o4), 3088 - 3080), ehT0Px3KOsy9(chr(0b110000) + chr(8822 - 8711) + chr(49) + '\061' + chr(55), 8), ehT0Px3KOsy9(chr(647 - 599) + chr(0b11011 + 0o124) + chr(0b110010) + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b11101 + 0o122) + chr(53) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(635 - 580) + chr(1655 - 1607), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110011) + chr(0b1111 + 0o41) + chr(0b100010 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b10101 + 0o35) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7251 - 7140) + '\063' + chr(0b110100 + 0o3) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1739 - 1691) + chr(0b1001011 + 0o44) + chr(51) + '\067', 23741 - 23733), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(50) + chr(51) + chr(887 - 835), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b1111 + 0o44) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x37' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110011) + '\061' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b110101) + chr(0b110110 + 0o0), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o10) + chr(1520 - 1466) + chr(2105 - 2057), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(299 - 245) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(7313 - 7202) + '\x31' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(49) + '\064' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(668 - 618) + chr(1554 - 1501) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1227 - 1179) + chr(111) + chr(50) + chr(0b110110) + chr(0b11000 + 0o30), 0o10), ehT0Px3KOsy9(chr(2029 - 1981) + chr(0b1101111) + chr(1627 - 1578) + '\066' + chr(1065 - 1016), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110110) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b11011 + 0o26) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(10857 - 10746) + '\x32' + chr(55) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2705 - 2594) + '\x35' + '\062', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b11000 + 0o127) + chr(0b110010) + chr(0b10111 + 0o34) + chr(0b110100), 8), ehT0Px3KOsy9(chr(2158 - 2110) + '\157' + chr(0b11010 + 0o27) + '\066' + chr(0b10011 + 0o40), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5'), '\x64' + '\145' + chr(0b1000 + 0o133) + '\157' + '\144' + chr(0b101001 + 0o74))(chr(117) + chr(116) + '\x66' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jSIE4ooT4KER(oVre8I6UXc3b, K1Ha0XjJTAE7, YhhkyMvxPIjH=None):
def ZcS6ewqHFmNl(YeT3l7JgTbWR, VwDkkS2adETP):
EaCjyhZptSer = CRSW2MwrXhtq(K1Ha0XjJTAE7, YhhkyMvxPIjH, YeT3l7JgTbWR)
try:
xafqLlk3kkUe(VwDkkS2adETP, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x81\x11b\xa0#>&Cv81'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + chr(7976 - 7876) + '\145')(chr(0b111010 + 0o73) + chr(0b1110100) + '\x66' + '\x2d' + '\x38'))(EaCjyhZptSer)
except EYvV7SkYgnq_ as GlnVAPeT6CUe:
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x8b.1\x848=\x0bd\x7f\x0f\x18z&\xebYK\x84.\x9cz\xec*Ph\xa3'), chr(100) + '\x65' + '\143' + '\x6f' + chr(0b1010010 + 0o22) + chr(101))(chr(0b110110 + 0o77) + '\164' + chr(6216 - 6114) + chr(0b1011 + 0o42) + '\070') not in M8_cKLkHVB2V(GlnVAPeT6CUe):
raise
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xad\x8d01\xa47'<A_"), chr(0b1011101 + 0o7) + chr(0b1001011 + 0o32) + chr(9488 - 9389) + chr(0b101111 + 0o100) + '\x64' + '\x65')(chr(117) + '\x74' + '\x66' + '\x2d' + chr(0b11000 + 0o40)))(ZcS6ewqHFmNl)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.transform
|
def transform(self, func):
"""
Return a new DStream in which each RDD is generated by applying a function
on each RDD of this DStream.
`func` can have one argument of `rdd`, or have two arguments of
(`time`, `rdd`)
"""
if func.__code__.co_argcount == 1:
oldfunc = func
func = lambda t, rdd: oldfunc(rdd)
assert func.__code__.co_argcount == 2, "func should take one or two arguments"
return TransformedDStream(self, func)
|
python
|
def transform(self, func):
"""
Return a new DStream in which each RDD is generated by applying a function
on each RDD of this DStream.
`func` can have one argument of `rdd`, or have two arguments of
(`time`, `rdd`)
"""
if func.__code__.co_argcount == 1:
oldfunc = func
func = lambda t, rdd: oldfunc(rdd)
assert func.__code__.co_argcount == 2, "func should take one or two arguments"
return TransformedDStream(self, func)
|
[
"def",
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"func",
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":",
"if",
"func",
".",
"__code__",
".",
"co_argcount",
"==",
"1",
":",
"oldfunc",
"=",
"func",
"func",
"=",
"lambda",
"t",
",",
"rdd",
":",
"oldfunc",
"(",
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"func",
".",
"__code__",
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"==",
"2",
",",
"\"func should take one or two arguments\"",
"return",
"TransformedDStream",
"(",
"self",
",",
"func",
")"
] |
Return a new DStream in which each RDD is generated by applying a function
on each RDD of this DStream.
`func` can have one argument of `rdd`, or have two arguments of
(`time`, `rdd`)
|
[
"Return",
"a",
"new",
"DStream",
"in",
"which",
"each",
"RDD",
"is",
"generated",
"by",
"applying",
"a",
"function",
"on",
"each",
"RDD",
"of",
"this",
"DStream",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L287-L299
|
train
|
Return a new DStream in which each RDD is generated by applying a function
on each RDD of this DStream.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(1655 - 1605) + chr(0b10001 + 0o46) + chr(426 - 375), 65511 - 65503), ehT0Px3KOsy9(chr(1214 - 1166) + chr(6295 - 6184) + '\064' + '\066', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b101001 + 0o13) + chr(0b110110), 14675 - 14667), ehT0Px3KOsy9(chr(0b110000) + chr(5244 - 5133) + chr(0b110011) + chr(1255 - 1202) + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6855 - 6744) + '\x34' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\066' + chr(0b1011 + 0o51), 31600 - 31592), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\062' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(2586 - 2532) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\063' + chr(1778 - 1725) + chr(213 - 159), 186 - 178), ehT0Px3KOsy9(chr(310 - 262) + chr(111) + '\x31' + '\062' + '\062', 0o10), ehT0Px3KOsy9(chr(1729 - 1681) + '\157' + chr(0b110110) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\062' + chr(51) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\061' + chr(446 - 396), 48275 - 48267), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(988 - 936) + chr(53), 36282 - 36274), ehT0Px3KOsy9(chr(48) + chr(8999 - 8888) + chr(49) + '\x32' + '\x35', 26974 - 26966), ehT0Px3KOsy9('\x30' + '\157' + chr(1875 - 1826) + '\064' + '\064', 19174 - 19166), ehT0Px3KOsy9(chr(472 - 424) + chr(111) + '\061' + chr(2772 - 2717) + chr(51), 0b1000), ehT0Px3KOsy9(chr(2017 - 1969) + '\157' + chr(0b110010) + chr(0b110111 + 0o0) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1499 - 1451) + '\x6f' + '\x32' + chr(842 - 790) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x33' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(49) + '\067' + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\061' + chr(0b100 + 0o57), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(0b11000 + 0o31) + '\x33' + chr(1591 - 1541), 45846 - 45838), ehT0Px3KOsy9('\060' + '\157' + chr(0b11 + 0o56) + chr(230 - 177), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(50) + chr(0b110001) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(422 - 374) + chr(111) + '\062' + chr(1803 - 1753) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2400 - 2349) + chr(0b10011 + 0o41) + chr(53), 21664 - 21656), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b10010 + 0o41) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\x37' + '\067', 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110011) + chr(0b0 + 0o66) + chr(313 - 259), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o54) + chr(1626 - 1571) + '\062', 49038 - 49030), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11243 - 11132) + '\x31' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(2001 - 1952) + chr(49) + chr(126 - 78), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(0b10101 + 0o34) + '\x34' + chr(0b110001), 16028 - 16020), ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + '\x32' + chr(0b110011) + chr(0b101101 + 0o11), 29943 - 29935), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(53) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1488 - 1435) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(487 - 438) + chr(0b110011), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2299 - 2251) + '\x6f' + chr(0b1000 + 0o55) + chr(112 - 64), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x95'), '\x64' + chr(8484 - 8383) + chr(99) + chr(0b11001 + 0o126) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + chr(9161 - 9059) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ASNeIOBhze_M(oVre8I6UXc3b, EzOtJ3kbK5x4):
if xafqLlk3kkUe(EzOtJ3kbK5x4.__code__, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8I^\x87\x9aAWz\xc1\x80&'), chr(0b1100100) + chr(5940 - 5839) + '\x63' + '\x6f' + chr(7143 - 7043) + '\x65')('\165' + '\x74' + chr(2176 - 2074) + '\055' + '\070')) == ehT0Px3KOsy9(chr(1282 - 1234) + chr(0b1001010 + 0o45) + chr(49), 8):
exH00Jwhd8tl = EzOtJ3kbK5x4
def EzOtJ3kbK5x4(YeT3l7JgTbWR, VwDkkS2adETP):
return exH00Jwhd8tl(VwDkkS2adETP)
assert xafqLlk3kkUe(EzOtJ3kbK5x4.__code__, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8I^\x87\x9aAWz\xc1\x80&'), '\x64' + chr(0b1100 + 0o131) + chr(0b111000 + 0o53) + chr(5108 - 4997) + chr(100) + chr(0b1100101))('\165' + '\x74' + '\146' + chr(0b11011 + 0o22) + chr(0b111000))) == ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\x32', 30736 - 30728), xafqLlk3kkUe(SXOLrMavuUCe(b'\xddSo\x85\xc8U\\z\xc1\x826\x12\xefk\x0e0D\x14\xd1\xc1\xfd\x14\xf9zy\xfb\xfe\xc5:\xcd\x91e\x97j&\x15\xed'), chr(100) + chr(8892 - 8791) + chr(99) + chr(6829 - 6718) + chr(2221 - 2121) + '\145')('\165' + chr(0b1110100) + chr(0b0 + 0o146) + chr(0b1 + 0o54) + chr(0b10001 + 0o47))
return DDwe92TbNAxr(oVre8I6UXc3b, EzOtJ3kbK5x4)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.transformWith
|
def transformWith(self, func, other, keepSerializer=False):
"""
Return a new DStream in which each RDD is generated by applying a function
on each RDD of this DStream and 'other' DStream.
`func` can have two arguments of (`rdd_a`, `rdd_b`) or have three
arguments of (`time`, `rdd_a`, `rdd_b`)
"""
if func.__code__.co_argcount == 2:
oldfunc = func
func = lambda t, a, b: oldfunc(a, b)
assert func.__code__.co_argcount == 3, "func should take two or three arguments"
jfunc = TransformFunction(self._sc, func, self._jrdd_deserializer, other._jrdd_deserializer)
dstream = self._sc._jvm.PythonTransformed2DStream(self._jdstream.dstream(),
other._jdstream.dstream(), jfunc)
jrdd_serializer = self._jrdd_deserializer if keepSerializer else self._sc.serializer
return DStream(dstream.asJavaDStream(), self._ssc, jrdd_serializer)
|
python
|
def transformWith(self, func, other, keepSerializer=False):
"""
Return a new DStream in which each RDD is generated by applying a function
on each RDD of this DStream and 'other' DStream.
`func` can have two arguments of (`rdd_a`, `rdd_b`) or have three
arguments of (`time`, `rdd_a`, `rdd_b`)
"""
if func.__code__.co_argcount == 2:
oldfunc = func
func = lambda t, a, b: oldfunc(a, b)
assert func.__code__.co_argcount == 3, "func should take two or three arguments"
jfunc = TransformFunction(self._sc, func, self._jrdd_deserializer, other._jrdd_deserializer)
dstream = self._sc._jvm.PythonTransformed2DStream(self._jdstream.dstream(),
other._jdstream.dstream(), jfunc)
jrdd_serializer = self._jrdd_deserializer if keepSerializer else self._sc.serializer
return DStream(dstream.asJavaDStream(), self._ssc, jrdd_serializer)
|
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] |
Return a new DStream in which each RDD is generated by applying a function
on each RDD of this DStream and 'other' DStream.
`func` can have two arguments of (`rdd_a`, `rdd_b`) or have three
arguments of (`time`, `rdd_a`, `rdd_b`)
|
[
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L301-L317
|
train
|
Return a new DStream in which each RDD is generated by applying a functionon each RDD of this DStream and other DStreams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(202 - 91) + chr(0b1 + 0o60) + chr(0b110011 + 0o0) + chr(512 - 464), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(367 - 316) + chr(0b110101) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b101110 + 0o6) + '\067', 0b1000), ehT0Px3KOsy9(chr(1550 - 1502) + chr(3267 - 3156) + '\061' + chr(1290 - 1240) + chr(1832 - 1783), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b11000 + 0o33) + chr(0b110110) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + chr(2402 - 2352), ord("\x08")), ehT0Px3KOsy9(chr(1051 - 1003) + '\x6f' + chr(50) + '\x37' + chr(0b11001 + 0o31), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\061' + chr(0b11110 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110110) + chr(1703 - 1648), 0o10), ehT0Px3KOsy9(chr(48) + chr(5816 - 5705) + '\x33' + chr(53) + chr(0b11001 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\060' + chr(1147 - 1096), ord("\x08")), ehT0Px3KOsy9('\060' + chr(12058 - 11947) + chr(0b110010) + chr(49) + chr(633 - 583), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(133 - 78) + '\x34', 64170 - 64162), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(878 - 827) + chr(396 - 342) + chr(0b100111 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4596 - 4485) + chr(49) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(8199 - 8088) + '\062' + '\x32' + chr(0b110001), 14975 - 14967), ehT0Px3KOsy9('\x30' + chr(12217 - 12106) + chr(0b110011) + '\062' + chr(55), 2818 - 2810), ehT0Px3KOsy9(chr(1430 - 1382) + chr(0b1101100 + 0o3) + '\063' + chr(49), 37982 - 37974), ehT0Px3KOsy9('\060' + chr(111) + chr(1426 - 1375) + chr(50) + '\065', 61796 - 61788), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110000) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1356 - 1308) + chr(0b100101 + 0o112) + chr(493 - 443) + '\063' + chr(453 - 402), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1164 - 1053) + '\x35' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(1015 - 966) + chr(55) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(331 - 282) + '\065', 7346 - 7338), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(52) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b110010) + '\x32', 26743 - 26735), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(0b110001) + '\060' + '\x32', 10438 - 10430), ehT0Px3KOsy9(chr(1863 - 1815) + '\157' + '\062' + chr(1237 - 1183), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b101101 + 0o3) + chr(0b10110 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + '\x33' + chr(0b100101 + 0o21) + chr(0b1 + 0o62), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o54) + chr(0b1001 + 0o51) + chr(1662 - 1609), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o55) + chr(2012 - 1963) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x34' + '\x30', 16335 - 16327), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o7) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9(chr(935 - 887) + chr(2692 - 2581) + '\x33' + chr(1041 - 993) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x36' + chr(0b11111 + 0o23), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\064' + chr(1798 - 1746), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\061' + chr(0b110000) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x33' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(49) + chr(0b110111), 44794 - 44786)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'v'), '\144' + '\145' + '\x63' + '\157' + chr(100) + '\145')(chr(12566 - 12449) + chr(0b1100 + 0o150) + '\146' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k0Lab7DUTGzg(oVre8I6UXc3b, EzOtJ3kbK5x4, KK0ERS7DqYrY, P6RoxNmkf4cn=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), ord("\x08"))):
if xafqLlk3kkUe(EzOtJ3kbK5x4.__code__, xafqLlk3kkUe(SXOLrMavuUCe(b';\x8380\x81U\xd9\xa0B\x87\xf7'), chr(6974 - 6874) + chr(101) + chr(6254 - 6155) + chr(0b1000011 + 0o54) + chr(0b111100 + 0o50) + chr(0b1001 + 0o134))(chr(0b1110101) + chr(0b1011010 + 0o32) + '\x66' + chr(45) + chr(0b111000))) == ehT0Px3KOsy9(chr(2247 - 2199) + chr(0b1101111) + chr(0b110010), 0o10):
exH00Jwhd8tl = EzOtJ3kbK5x4
def EzOtJ3kbK5x4(YeT3l7JgTbWR, XPh1qbAgrPgG, wmN3dvez4qzC):
return exH00Jwhd8tl(XPh1qbAgrPgG, wmN3dvez4qzC)
assert xafqLlk3kkUe(EzOtJ3kbK5x4.__code__, xafqLlk3kkUe(SXOLrMavuUCe(b';\x8380\x81U\xd9\xa0B\x87\xf7'), '\x64' + chr(101) + chr(0b100001 + 0o102) + chr(111) + '\144' + chr(10090 - 9989))('\x75' + '\164' + chr(102) + '\x2d' + chr(0b1010 + 0o56))) == ehT0Px3KOsy9('\060' + chr(2464 - 2353) + chr(1493 - 1442), 0b1000), xafqLlk3kkUe(SXOLrMavuUCe(b'>\x99\t2\xd3A\xd2\xa0B\x85\xe7\xaa\xc8\x93e\xf4\xf7m\xa2\xa9\xbbB\r-\xd7z0s\xe7\xd3\xb4\xfa\x07\xc7\xad\xd7\x8a0\xa8'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1000101 + 0o57) + chr(0b1100110) + chr(0b101101) + chr(0b101010 + 0o16))
qlUbl4S1nAKT = KcCGtObbRcwG(oVre8I6UXc3b._sc, EzOtJ3kbK5x4, oVre8I6UXc3b._jrdd_deserializer, KK0ERS7DqYrY._jrdd_deserializer)
ed7CwPEnQ9NN = oVre8I6UXc3b._sc._jvm.PythonTransformed2DStream(oVre8I6UXc3b._jdstream.dstream(), KK0ERS7DqYrY._jdstream.dstream(), qlUbl4S1nAKT)
zd3Hat6xTkSu = oVre8I6UXc3b._jrdd_deserializer if P6RoxNmkf4cn else oVre8I6UXc3b._sc.SCdqlfw0aKEP
return IfRlLZdPEjTM(xafqLlk3kkUe(ed7CwPEnQ9NN, xafqLlk3kkUe(SXOLrMavuUCe(b'9\x9f-0\x85S\xfe\x9cC\x9b\xe6\xeb\xd1'), chr(100) + chr(0b1011110 + 0o7) + chr(99) + chr(111) + chr(0b1100100) + chr(6667 - 6566))(chr(117) + chr(11292 - 11176) + chr(0b110110 + 0o60) + chr(1565 - 1520) + '\070'))(), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x9f\x142'), '\144' + '\145' + '\x63' + chr(0b10010 + 0o135) + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56))), zd3Hat6xTkSu)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.union
|
def union(self, other):
"""
Return a new DStream by unifying data of another DStream with this DStream.
@param other: Another DStream having the same interval (i.e., slideDuration)
as this DStream.
"""
if self._slideDuration != other._slideDuration:
raise ValueError("the two DStream should have same slide duration")
return self.transformWith(lambda a, b: a.union(b), other, True)
|
python
|
def union(self, other):
"""
Return a new DStream by unifying data of another DStream with this DStream.
@param other: Another DStream having the same interval (i.e., slideDuration)
as this DStream.
"""
if self._slideDuration != other._slideDuration:
raise ValueError("the two DStream should have same slide duration")
return self.transformWith(lambda a, b: a.union(b), other, True)
|
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"\"the two DStream should have same slide duration\"",
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":",
"a",
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"union",
"(",
"b",
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")"
] |
Return a new DStream by unifying data of another DStream with this DStream.
@param other: Another DStream having the same interval (i.e., slideDuration)
as this DStream.
|
[
"Return",
"a",
"new",
"DStream",
"by",
"unifying",
"data",
"of",
"another",
"DStream",
"with",
"this",
"DStream",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L332-L341
|
train
|
Return a new DStream by unifying data of another DStream with this DStream.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(49) + chr(0b110110) + chr(51), 0o10), ehT0Px3KOsy9(chr(1835 - 1787) + '\157' + chr(51) + '\060' + chr(0b110110), 49879 - 49871), ehT0Px3KOsy9(chr(742 - 694) + '\x6f' + chr(0b110001 + 0o1) + '\x34' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(2002 - 1954) + chr(0b1101111) + '\x35' + '\061', 20793 - 20785), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + '\x31' + '\x33' + chr(605 - 557), 8724 - 8716), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1000000 + 0o57) + '\x32' + chr(0b110001) + '\x36', 64224 - 64216), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(2823 - 2768) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b0 + 0o62) + '\x34', 51808 - 51800), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1424 - 1376) + chr(5196 - 5085) + chr(0b11000 + 0o31) + chr(0b1 + 0o61) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(1675 - 1625) + chr(0b101 + 0o61) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10001 + 0o43) + chr(0b11111 + 0o24), 11605 - 11597), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(2807 - 2754) + '\x36', 53277 - 53269), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(814 - 764) + chr(0b110110) + chr(0b100011 + 0o23), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110000 + 0o2) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10100 + 0o37) + chr(0b110011) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9521 - 9410) + '\063' + chr(0b110011) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2483 - 2433) + chr(836 - 788) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(1449 - 1400) + chr(49) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b100100 + 0o17) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11738 - 11627) + chr(50) + chr(0b1101 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(2003 - 1950) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(1834 - 1785) + chr(0b11110 + 0o22) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b10 + 0o57) + chr(53) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5321 - 5210) + '\063' + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + chr(49) + chr(0b110111) + chr(0b110101), 47806 - 47798), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(0b110010) + chr(52) + chr(331 - 278), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\060' + chr(2369 - 2314), 51903 - 51895), ehT0Px3KOsy9(chr(265 - 217) + chr(0b1101111) + '\x31' + chr(0b110001) + chr(972 - 921), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1549 - 1438) + chr(0b11101 + 0o26) + '\x30' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\063' + chr(0b101 + 0o53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(49) + chr(54) + chr(0b1001 + 0o55), 60788 - 60780), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o25) + '\060' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1384 - 1336) + '\x6f' + chr(0b100101 + 0o15) + chr(0b110010) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110011) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\064' + chr(1586 - 1534), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7114 - 7003) + chr(49) + chr(51) + '\x34', 45677 - 45669), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\066' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(412 - 362) + chr(50) + '\x32', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1588 - 1540) + '\157' + chr(239 - 186) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b']'), '\x64' + '\145' + '\143' + chr(1585 - 1474) + chr(100) + '\x65')('\x75' + chr(9723 - 9607) + '\x66' + chr(530 - 485) + chr(0b100001 + 0o27)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ImVX4ET3vKwG(oVre8I6UXc3b, KK0ERS7DqYrY):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b',\xb5\xcc@<\xeb\xf9\xa1E4\xc5J\x01\xd8'), '\144' + chr(0b1100101) + '\143' + chr(111) + chr(0b1010110 + 0o16) + chr(101))('\165' + chr(0b1110100) + chr(5109 - 5007) + '\055' + chr(0b1011 + 0o55))) != xafqLlk3kkUe(KK0ERS7DqYrY, xafqLlk3kkUe(SXOLrMavuUCe(b',\xb5\xcc@<\xeb\xf9\xa1E4\xc5J\x01\xd8'), '\x64' + '\x65' + chr(4256 - 4157) + '\157' + '\x64' + chr(0b1100101))(chr(0b101 + 0o160) + '\x74' + chr(6253 - 6151) + chr(0b10001 + 0o34) + chr(1316 - 1260))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xae\xc5\t,\xf9\xd2\xf4s\x06\xc5Q\x0b\xd7\xff\xfb\xab\xee \xe9}\x0bf\x02\xb4\x0b\xc0\xa78\xa4\xf5\x13\xa1\xe3\xb2M8\x96#\xf6\x06\xb4\xc1]1\xe1\xd3'), chr(0b110001 + 0o63) + chr(101) + chr(3573 - 3474) + '\x6f' + chr(5866 - 5766) + '\x65')(chr(0b1010000 + 0o45) + chr(116) + chr(102) + '\x2d' + '\070'))
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xb4\xc1G+\xe8\xd2\xa6Z\x02\xd8W\x06'), chr(0b1100100) + chr(10175 - 10074) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(364 - 247) + chr(116) + '\146' + chr(0b11 + 0o52) + chr(0b11100 + 0o34)))(lambda XPh1qbAgrPgG, wmN3dvez4qzC: xafqLlk3kkUe(XPh1qbAgrPgG, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xa8\xc9F6'), chr(0b11100 + 0o110) + chr(0b100 + 0o141) + chr(0b1001110 + 0o25) + chr(0b1101111) + '\144' + chr(0b11100 + 0o111))('\x75' + chr(9977 - 9861) + chr(102) + chr(0b101101) + chr(0b110 + 0o62)))(wmN3dvez4qzC), KK0ERS7DqYrY, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o20), 0o10))
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.cogroup
|
def cogroup(self, other, numPartitions=None):
"""
Return a new DStream by applying 'cogroup' between RDDs of this
DStream and `other` DStream.
Hash partitioning is used to generate the RDDs with `numPartitions` partitions.
"""
if numPartitions is None:
numPartitions = self._sc.defaultParallelism
return self.transformWith(lambda a, b: a.cogroup(b, numPartitions), other)
|
python
|
def cogroup(self, other, numPartitions=None):
"""
Return a new DStream by applying 'cogroup' between RDDs of this
DStream and `other` DStream.
Hash partitioning is used to generate the RDDs with `numPartitions` partitions.
"""
if numPartitions is None:
numPartitions = self._sc.defaultParallelism
return self.transformWith(lambda a, b: a.cogroup(b, numPartitions), other)
|
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] |
Return a new DStream by applying 'cogroup' between RDDs of this
DStream and `other` DStream.
Hash partitioning is used to generate the RDDs with `numPartitions` partitions.
|
[
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L343-L352
|
train
|
Return a new DStream by applying cogroup between this DStream and other.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110011) + chr(48), 63024 - 63016), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b11111 + 0o24) + chr(0b100111 + 0o12) + chr(0b110100), 11908 - 11900), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101011 + 0o11) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(49) + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11010 + 0o30) + '\x35' + chr(2080 - 2028), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110010) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1909 - 1861) + chr(0b1101111) + '\063' + chr(50) + '\x31', 31395 - 31387), ehT0Px3KOsy9(chr(1103 - 1055) + '\x6f' + chr(0b110001) + chr(0b10110 + 0o36) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x37' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101001 + 0o11) + chr(0b101110 + 0o6) + chr(1273 - 1223), 0o10), ehT0Px3KOsy9('\x30' + chr(299 - 188) + chr(942 - 893) + chr(2522 - 2468) + chr(741 - 692), 39257 - 39249), ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + chr(51) + chr(0b11000 + 0o31) + chr(0b110100), 8), ehT0Px3KOsy9(chr(1774 - 1726) + '\157' + chr(0b110001) + chr(1776 - 1724) + chr(2019 - 1967), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + chr(50) + chr(0b110010) + '\x36', 37314 - 37306), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(48) + '\x33', 0o10), ehT0Px3KOsy9(chr(2273 - 2225) + chr(0b1101111) + chr(0b110011) + '\x36' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(10228 - 10117) + chr(0b110001) + chr(0b110000) + chr(0b1101 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(51) + chr(1334 - 1286) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b110000 + 0o3) + chr(0b110011) + chr(0b110001 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + '\061' + chr(0b110111) + '\065', 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110010) + chr(55) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10010 + 0o43) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1110 + 0o43) + chr(998 - 949) + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x32' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1662 - 1614) + chr(0b1010001 + 0o36) + chr(50) + chr(1231 - 1178), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\065' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(1155 - 1044) + chr(0b110101) + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110011) + chr(49), 20340 - 20332), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(980 - 931) + '\060' + chr(52), 0b1000), ehT0Px3KOsy9(chr(1040 - 992) + chr(654 - 543) + '\x31' + '\x35' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100011 + 0o16) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10010 + 0o40) + '\061' + chr(48), 53849 - 53841), ehT0Px3KOsy9(chr(890 - 842) + '\x6f' + chr(501 - 446), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100110 + 0o15) + chr(2311 - 2262) + chr(0b10111 + 0o32), 8006 - 7998), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b101011 + 0o6) + chr(0b110000) + '\x31', 24893 - 24885), ehT0Px3KOsy9(chr(48) + chr(111) + chr(758 - 704) + '\x35', 0b1000), ehT0Px3KOsy9(chr(916 - 868) + chr(4807 - 4696) + chr(49) + '\x32' + chr(55), 43006 - 42998), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(626 - 575) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2369 - 2320) + chr(0b110001) + chr(48), 22614 - 22606)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1881 - 1833) + '\157' + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6'), '\x64' + chr(0b10 + 0o143) + chr(8641 - 8542) + chr(4928 - 4817) + '\x64' + chr(0b1010000 + 0o25))('\165' + '\164' + '\x66' + chr(216 - 171) + chr(0b111 + 0o61)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jPKsNtl7Kt0k(oVre8I6UXc3b, KK0ERS7DqYrY, Q9o8DFLjAoB0=None):
if Q9o8DFLjAoB0 is None:
Q9o8DFLjAoB0 = oVre8I6UXc3b._sc.defaultParallelism
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xbeFe\xdf2\xbe\x17\x15\xf5\x18\xb8\x0c'), chr(0b10 + 0o142) + chr(0b1100101) + '\143' + chr(685 - 574) + chr(5772 - 5672) + chr(101))('\165' + chr(0b1101010 + 0o12) + chr(0b110001 + 0o65) + chr(45) + chr(0b111000)))(lambda XPh1qbAgrPgG, wmN3dvez4qzC: xafqLlk3kkUe(XPh1qbAgrPgG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xa3@y\xc3!\xa1'), '\144' + '\145' + '\143' + chr(0b1101111) + chr(0b111111 + 0o45) + chr(101))(chr(7747 - 7630) + chr(116) + chr(102) + '\x2d' + chr(56)))(wmN3dvez4qzC, Q9o8DFLjAoB0), KK0ERS7DqYrY)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream._jtime
|
def _jtime(self, timestamp):
""" Convert datetime or unix_timestamp into Time
"""
if isinstance(timestamp, datetime):
timestamp = time.mktime(timestamp.timetuple())
return self._sc._jvm.Time(long(timestamp * 1000))
|
python
|
def _jtime(self, timestamp):
""" Convert datetime or unix_timestamp into Time
"""
if isinstance(timestamp, datetime):
timestamp = time.mktime(timestamp.timetuple())
return self._sc._jvm.Time(long(timestamp * 1000))
|
[
"def",
"_jtime",
"(",
"self",
",",
"timestamp",
")",
":",
"if",
"isinstance",
"(",
"timestamp",
",",
"datetime",
")",
":",
"timestamp",
"=",
"time",
".",
"mktime",
"(",
"timestamp",
".",
"timetuple",
"(",
")",
")",
"return",
"self",
".",
"_sc",
".",
"_jvm",
".",
"Time",
"(",
"long",
"(",
"timestamp",
"*",
"1000",
")",
")"
] |
Convert datetime or unix_timestamp into Time
|
[
"Convert",
"datetime",
"or",
"unix_timestamp",
"into",
"Time"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L402-L407
|
train
|
Convert datetime or unix_timestamp into Time
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(2106 - 2056) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1112 - 1064) + chr(11255 - 11144) + chr(0b110101) + chr(52), 1224 - 1216), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\062' + chr(0b10101 + 0o36), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9(chr(63 - 15) + '\x6f' + chr(0b11011 + 0o30) + chr(872 - 817) + chr(0b1001 + 0o55), 19808 - 19800), ehT0Px3KOsy9(chr(2065 - 2017) + chr(0b1101111) + chr(0b11100 + 0o25) + chr(0b110110) + chr(947 - 895), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(51) + '\063' + chr(0b1000 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1100011 + 0o14) + chr(1652 - 1603) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(1290 - 1241) + chr(0b110000 + 0o5) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(52) + chr(333 - 285), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110000) + chr(0b11010 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110000) + chr(0b101100 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(49) + chr(0b100010 + 0o16) + chr(51), 64677 - 64669), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10111 + 0o33) + chr(0b11001 + 0o33) + chr(0b100101 + 0o16), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1100 - 1049) + chr(0b10 + 0o65), 9294 - 9286), ehT0Px3KOsy9(chr(946 - 898) + chr(0b10010 + 0o135) + '\x33' + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9(chr(1948 - 1900) + chr(111) + chr(0b100 + 0o56) + '\063' + chr(0b101111 + 0o5), 26609 - 26601), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100100 + 0o16) + '\066' + chr(109 - 60), 46768 - 46760), ehT0Px3KOsy9('\060' + chr(11975 - 11864) + chr(2262 - 2213) + '\x34' + chr(0b11 + 0o57), 0o10), ehT0Px3KOsy9(chr(471 - 423) + chr(0b1101111) + chr(0b100111 + 0o12) + '\x31' + chr(51), 0b1000), ehT0Px3KOsy9(chr(2084 - 2036) + chr(111) + chr(0b110101) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110010) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010 + 0o1) + chr(1209 - 1155) + chr(0b11101 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + '\x31' + chr(0b100101 + 0o21) + chr(0b10 + 0o63), 11126 - 11118), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b10110 + 0o32) + '\x31', 60826 - 60818), ehT0Px3KOsy9(chr(0b110000) + chr(4975 - 4864) + chr(1720 - 1669) + chr(55) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(53), 30373 - 30365), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o40) + '\063' + chr(0b1101 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(55 - 1) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x31' + chr(0b110111) + '\063', 33439 - 33431), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1011 + 0o52) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1280 - 1230) + chr(1872 - 1818) + chr(0b10100 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x37' + chr(0b110101), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(2132 - 2080) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(6321 - 6210) + chr(50) + chr(0b11001 + 0o27) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b111010 + 0o65) + chr(0b110011) + '\062' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(51) + chr(0b10011 + 0o36) + '\061', 39359 - 39351), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110101) + chr(990 - 941), 4079 - 4071)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b1010 + 0o53) + chr(0b100000 + 0o20), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'='), chr(100) + chr(0b111100 + 0o51) + '\143' + chr(111) + chr(0b1011110 + 0o6) + '\145')(chr(0b1110101) + chr(116) + '\x66' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VGh40SlC7MMF(oVre8I6UXc3b, SgRbwnqVfFz7):
if PlSM16l2KDPD(SgRbwnqVfFz7, zKdiQFzuryNR):
SgRbwnqVfFz7 = ltvhPP4VhXre.mktime(SgRbwnqVfFz7.timetuple())
return xafqLlk3kkUe(oVre8I6UXc3b._sc._jvm, xafqLlk3kkUe(SXOLrMavuUCe(b'GE~K'), chr(9443 - 9343) + '\x65' + chr(99) + chr(9945 - 9834) + chr(0b110100 + 0o60) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b111001 + 0o55) + chr(45) + '\x38'))(OMGcKau557qa(SgRbwnqVfFz7 * ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(120 - 71) + '\x37' + '\x35' + '\x30', ord("\x08"))))
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.slice
|
def slice(self, begin, end):
"""
Return all the RDDs between 'begin' to 'end' (both included)
`begin`, `end` could be datetime.datetime() or unix_timestamp
"""
jrdds = self._jdstream.slice(self._jtime(begin), self._jtime(end))
return [RDD(jrdd, self._sc, self._jrdd_deserializer) for jrdd in jrdds]
|
python
|
def slice(self, begin, end):
"""
Return all the RDDs between 'begin' to 'end' (both included)
`begin`, `end` could be datetime.datetime() or unix_timestamp
"""
jrdds = self._jdstream.slice(self._jtime(begin), self._jtime(end))
return [RDD(jrdd, self._sc, self._jrdd_deserializer) for jrdd in jrdds]
|
[
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",",
"begin",
",",
"end",
")",
":",
"jrdds",
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"self",
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"_jdstream",
".",
"slice",
"(",
"self",
".",
"_jtime",
"(",
"begin",
")",
",",
"self",
".",
"_jtime",
"(",
"end",
")",
")",
"return",
"[",
"RDD",
"(",
"jrdd",
",",
"self",
".",
"_sc",
",",
"self",
".",
"_jrdd_deserializer",
")",
"for",
"jrdd",
"in",
"jrdds",
"]"
] |
Return all the RDDs between 'begin' to 'end' (both included)
`begin`, `end` could be datetime.datetime() or unix_timestamp
|
[
"Return",
"all",
"the",
"RDDs",
"between",
"begin",
"to",
"end",
"(",
"both",
"included",
")"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L409-L416
|
train
|
Return all the RDDs between begin and end.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\066' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o10) + chr(978 - 929) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(49) + '\x37' + chr(0b10101 + 0o40), 58556 - 58548), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + '\067', 0o10), ehT0Px3KOsy9(chr(484 - 436) + chr(7012 - 6901) + chr(0b110011) + chr(525 - 472) + chr(0b1011 + 0o46), 5453 - 5445), ehT0Px3KOsy9('\x30' + chr(2887 - 2776) + '\067' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b100010 + 0o21) + '\x33', 37160 - 37152), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110010) + chr(52), 23664 - 23656), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b101000 + 0o11) + chr(2173 - 2118) + chr(55), 29042 - 29034), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + '\x37' + chr(51), 60058 - 60050), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110011) + chr(50) + chr(0b11110 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(0b10101 + 0o34) + chr(0b101110 + 0o5) + chr(517 - 467), 0o10), ehT0Px3KOsy9(chr(1597 - 1549) + '\157' + '\x35' + '\067', 13007 - 12999), ehT0Px3KOsy9(chr(151 - 103) + chr(111) + chr(1995 - 1946) + chr(0b101011 + 0o13) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1010000 + 0o37) + chr(0b1 + 0o62) + chr(0b110011) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6728 - 6617) + chr(53) + chr(0b10001 + 0o46), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o25) + '\063' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(921 - 810) + chr(0b110011) + '\065' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(416 - 367) + chr(0b110010) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(513 - 465) + '\x6f' + chr(0b100111 + 0o13) + chr(50) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(374 - 326) + '\x6f' + chr(0b110111) + chr(319 - 268), 8), ehT0Px3KOsy9(chr(738 - 690) + chr(111) + '\062' + chr(51) + chr(2392 - 2339), 22165 - 22157), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4371 - 4260) + chr(0b110011) + chr(55) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(127 - 76) + chr(54) + chr(0b110010 + 0o0), 28636 - 28628), ehT0Px3KOsy9(chr(225 - 177) + chr(0b1000110 + 0o51) + chr(0b10000 + 0o42) + chr(0b110011) + '\x33', 0b1000), ehT0Px3KOsy9(chr(802 - 754) + chr(0b100111 + 0o110) + chr(54) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(520 - 471) + chr(0b101111 + 0o4), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1670 - 1619) + '\061' + chr(1130 - 1078), 47383 - 47375), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(2508 - 2457) + chr(2327 - 2276), 8), ehT0Px3KOsy9('\060' + chr(8234 - 8123) + chr(0b110010) + '\x31' + chr(0b100001 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b110001) + chr(2510 - 2457) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\x33' + '\x32' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1506 - 1456) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b110011) + chr(0b110000 + 0o5), 8), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + '\063' + chr(2091 - 2043) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o61) + '\x36' + '\x37', 39861 - 39853)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\065' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(0b1100100) + chr(0b1111 + 0o126) + chr(99) + '\x6f' + chr(0b1010010 + 0o22) + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(490 - 445) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def W3g84rNiEdDQ(oVre8I6UXc3b, _UO0diKSmKME, whWDZq5_lP01):
HzLLjWPFoW4X = oVre8I6UXc3b._jdstream.slice(oVre8I6UXc3b._jtime(_UO0diKSmKME), oVre8I6UXc3b._jtime(whWDZq5_lP01))
return [uXEA_h84GXBu(xKiBNa72Xueb, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed9\x1e'), '\144' + chr(0b1000101 + 0o40) + chr(6034 - 5935) + chr(0b1101111) + chr(0b1100100) + chr(2992 - 2891))('\x75' + chr(0b10110 + 0o136) + '\146' + '\055' + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed \x0fc\x8dc?\xb1\x0cuI\xbeT6F\x08\xb8]'), '\144' + chr(8669 - 8568) + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(6224 - 6107) + chr(0b1000101 + 0o57) + '\x66' + chr(45) + chr(56)))) for xKiBNa72Xueb in HzLLjWPFoW4X]
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.window
|
def window(self, windowDuration, slideDuration=None):
"""
Return a new DStream in which each RDD contains all the elements in seen in a
sliding window of time over this DStream.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
"""
self._validate_window_param(windowDuration, slideDuration)
d = self._ssc._jduration(windowDuration)
if slideDuration is None:
return DStream(self._jdstream.window(d), self._ssc, self._jrdd_deserializer)
s = self._ssc._jduration(slideDuration)
return DStream(self._jdstream.window(d, s), self._ssc, self._jrdd_deserializer)
|
python
|
def window(self, windowDuration, slideDuration=None):
"""
Return a new DStream in which each RDD contains all the elements in seen in a
sliding window of time over this DStream.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
"""
self._validate_window_param(windowDuration, slideDuration)
d = self._ssc._jduration(windowDuration)
if slideDuration is None:
return DStream(self._jdstream.window(d), self._ssc, self._jrdd_deserializer)
s = self._ssc._jduration(slideDuration)
return DStream(self._jdstream.window(d, s), self._ssc, self._jrdd_deserializer)
|
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] |
Return a new DStream in which each RDD contains all the elements in seen in a
sliding window of time over this DStream.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
|
[
"Return",
"a",
"new",
"DStream",
"in",
"which",
"each",
"RDD",
"contains",
"all",
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"elements",
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"window",
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L427-L443
|
train
|
Return a new DStream in which each element in seen in this DStream contains all the elements in seen in a sliding window of time over this DStream.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b10101 + 0o36) + chr(52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1120 - 1009) + '\063' + chr(0b110010) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(0b110010) + chr(52) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b101000 + 0o10) + chr(0b110100), 26550 - 26542), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\063' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\065' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(50) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2206 - 2158) + chr(11721 - 11610) + chr(692 - 641) + chr(50) + '\062', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\062' + chr(1675 - 1621), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(48) + '\x33', 0b1000), ehT0Px3KOsy9(chr(881 - 833) + '\x6f' + chr(49) + chr(0b110111) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\061' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(1249 - 1200) + '\063' + '\x31', 0o10), ehT0Px3KOsy9(chr(275 - 227) + chr(0b10101 + 0o132) + chr(0b110011) + chr(0b110100) + chr(0b101001 + 0o15), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + chr(0b101001 + 0o11) + chr(0b110010) + chr(0b1001 + 0o47), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b1011 + 0o53) + chr(0b110101), 6093 - 6085), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\x32' + chr(0b110111) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(54) + chr(0b110010), 38417 - 38409), ehT0Px3KOsy9(chr(1905 - 1857) + chr(0b110011 + 0o74) + chr(49) + chr(1158 - 1104) + chr(0b110100), 16260 - 16252), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\x33' + chr(50) + chr(312 - 262), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(788 - 739) + chr(0b110101) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11010 + 0o31) + chr(2757 - 2704) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1282 - 1234) + chr(7756 - 7645) + '\062' + chr(0b11101 + 0o32) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101110 + 0o5) + chr(49) + chr(0b110 + 0o52), 12203 - 12195), ehT0Px3KOsy9(chr(1630 - 1582) + chr(111) + chr(0b110010 + 0o5), 5660 - 5652), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + '\062' + chr(49) + chr(0b100111 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100010 + 0o21) + chr(0b100101 + 0o15) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + chr(667 - 617) + chr(0b10011 + 0o40) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + '\063' + '\065' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(48) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\065' + '\x30', 58840 - 58832), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b101101 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1001000 + 0o47) + chr(0b110011) + chr(54) + chr(1789 - 1736), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1011111 + 0o20) + '\x31' + chr(0b110001) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(51) + '\x34' + chr(48), 0o10), ehT0Px3KOsy9(chr(1648 - 1600) + chr(0b1101111) + '\063' + chr(0b110001) + chr(400 - 348), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + '\x32' + chr(0b110000) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1100 + 0o143) + chr(0b11110 + 0o25) + chr(0b1000 + 0o53) + chr(0b110100), 20816 - 20808)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b1 + 0o57), 12377 - 12369)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8'), chr(3001 - 2901) + chr(0b1001010 + 0o33) + chr(99) + '\x6f' + chr(0b1100100) + chr(1149 - 1048))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VGVrxFMCQSmZ(oVre8I6UXc3b, TYLiWM4DVon9, IHv8qEgJfSN3=None):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xa4\xc7\xa84Jw\xd7\xb7\xc9\xb4\x13\xa1=\x89\xe7\xaa\xc9\xd3\x06\xb3\x01'), '\x64' + chr(8193 - 8092) + chr(99) + chr(0b110011 + 0o74) + '\x64' + chr(0b1100101))(chr(7236 - 7119) + chr(0b1110100) + '\146' + chr(1444 - 1399) + '\070'))(TYLiWM4DVon9, IHv8qEgJfSN3)
pd3lxn9vqWxp = oVre8I6UXc3b._ssc._jduration(TYLiWM4DVon9)
if IHv8qEgJfSN3 is None:
return IfRlLZdPEjTM(xafqLlk3kkUe(oVre8I6UXc3b._jdstream, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\xbb\xc8\xa02Y'), chr(2668 - 2568) + chr(0b110101 + 0o60) + chr(99) + chr(111) + '\144' + '\145')(chr(0b1 + 0o164) + chr(116) + chr(102) + chr(0b101010 + 0o3) + chr(1647 - 1591)))(pd3lxn9vqWxp), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xa1\xd5\xa7'), chr(9510 - 9410) + chr(0b1100101) + chr(0b1011101 + 0o6) + chr(3654 - 3543) + chr(0b1100100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(124 - 79) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xb8\xd4\xa09qr\xc6\xa1\xf3\xb1\x13\xae5\x8f\xea\x90\xcb'), chr(0b1001111 + 0o25) + chr(0b1000010 + 0o43) + '\x63' + chr(0b1010001 + 0o36) + '\144' + '\145')(chr(0b1110101) + chr(116) + '\146' + chr(0b11010 + 0o23) + chr(56))))
vGrByMSYMp9h = oVre8I6UXc3b._ssc._jduration(IHv8qEgJfSN3)
return IfRlLZdPEjTM(xafqLlk3kkUe(oVre8I6UXc3b._jdstream, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\xbb\xc8\xa02Y'), chr(100) + chr(0b110111 + 0o56) + chr(4082 - 3983) + chr(0b1000000 + 0o57) + chr(100) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + chr(2103 - 2047)))(pd3lxn9vqWxp, vGrByMSYMp9h), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xa1\xd5\xa7'), chr(9339 - 9239) + '\x65' + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(0b1110101) + '\164' + chr(7045 - 6943) + chr(45) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xb8\xd4\xa09qr\xc6\xa1\xf3\xb1\x13\xae5\x8f\xea\x90\xcb'), chr(0b101111 + 0o65) + chr(0b1000011 + 0o42) + '\143' + chr(111) + chr(3296 - 3196) + '\145')(chr(0b10101 + 0o140) + '\x74' + chr(102) + '\055' + chr(2550 - 2494))))
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.reduceByWindow
|
def reduceByWindow(self, reduceFunc, invReduceFunc, windowDuration, slideDuration):
"""
Return a new DStream in which each RDD has a single element generated by reducing all
elements in a sliding window over this DStream.
if `invReduceFunc` is not None, the reduction is done incrementally
using the old window's reduced value :
1. reduce the new values that entered the window (e.g., adding new counts)
2. "inverse reduce" the old values that left the window (e.g., subtracting old counts)
This is more efficient than `invReduceFunc` is None.
@param reduceFunc: associative and commutative reduce function
@param invReduceFunc: inverse reduce function of `reduceFunc`; such that for all y,
and invertible x:
`invReduceFunc(reduceFunc(x, y), x) = y`
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
"""
keyed = self.map(lambda x: (1, x))
reduced = keyed.reduceByKeyAndWindow(reduceFunc, invReduceFunc,
windowDuration, slideDuration, 1)
return reduced.map(lambda kv: kv[1])
|
python
|
def reduceByWindow(self, reduceFunc, invReduceFunc, windowDuration, slideDuration):
"""
Return a new DStream in which each RDD has a single element generated by reducing all
elements in a sliding window over this DStream.
if `invReduceFunc` is not None, the reduction is done incrementally
using the old window's reduced value :
1. reduce the new values that entered the window (e.g., adding new counts)
2. "inverse reduce" the old values that left the window (e.g., subtracting old counts)
This is more efficient than `invReduceFunc` is None.
@param reduceFunc: associative and commutative reduce function
@param invReduceFunc: inverse reduce function of `reduceFunc`; such that for all y,
and invertible x:
`invReduceFunc(reduceFunc(x, y), x) = y`
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
"""
keyed = self.map(lambda x: (1, x))
reduced = keyed.reduceByKeyAndWindow(reduceFunc, invReduceFunc,
windowDuration, slideDuration, 1)
return reduced.map(lambda kv: kv[1])
|
[
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",",
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",",
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"slideDuration",
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":",
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"reduced",
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"reduceFunc",
",",
"invReduceFunc",
",",
"windowDuration",
",",
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",",
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"return",
"reduced",
".",
"map",
"(",
"lambda",
"kv",
":",
"kv",
"[",
"1",
"]",
")"
] |
Return a new DStream in which each RDD has a single element generated by reducing all
elements in a sliding window over this DStream.
if `invReduceFunc` is not None, the reduction is done incrementally
using the old window's reduced value :
1. reduce the new values that entered the window (e.g., adding new counts)
2. "inverse reduce" the old values that left the window (e.g., subtracting old counts)
This is more efficient than `invReduceFunc` is None.
@param reduceFunc: associative and commutative reduce function
@param invReduceFunc: inverse reduce function of `reduceFunc`; such that for all y,
and invertible x:
`invReduceFunc(reduceFunc(x, y), x) = y`
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
|
[
"Return",
"a",
"new",
"DStream",
"in",
"which",
"each",
"RDD",
"has",
"a",
"single",
"element",
"generated",
"by",
"reducing",
"all",
"elements",
"in",
"a",
"sliding",
"window",
"over",
"this",
"DStream",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L445-L471
|
train
|
Return a new DStream with a single element generated by reducing all the entries in a sliding window over this DStream.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b100000 + 0o21) + chr(1194 - 1145) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(10695 - 10584) + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(387 - 334) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(0b110011) + chr(2324 - 2272) + chr(52), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x31' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(50) + chr(0b101110 + 0o10) + '\065', 20261 - 20253), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b100000 + 0o21) + chr(0b110000) + '\x33', 23178 - 23170), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(2030 - 1977) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(151 - 103) + '\x6f' + chr(0b1110 + 0o44) + '\x32' + chr(0b11100 + 0o26), 34600 - 34592), ehT0Px3KOsy9(chr(1684 - 1636) + chr(0b11100 + 0o123) + chr(1632 - 1583) + chr(49) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(49) + chr(85 - 37) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(53) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(49) + chr(0b110011) + chr(954 - 903), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\063' + chr(1117 - 1064), 28529 - 28521), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(2156 - 2107) + chr(55) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x30' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(0b110010) + chr(1696 - 1644) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100010 + 0o17) + chr(1855 - 1800) + '\x36', 28577 - 28569), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\063' + '\067' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(52) + chr(49), 16498 - 16490), ehT0Px3KOsy9(chr(1526 - 1478) + '\x6f' + chr(0b110010) + '\067' + '\x37', 58583 - 58575), ehT0Px3KOsy9('\x30' + chr(5430 - 5319) + chr(1467 - 1419), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b10 + 0o155) + chr(1313 - 1264) + chr(48) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(48) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110001) + '\066', 8), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(48) + chr(90 - 39), 47221 - 47213), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\062' + chr(52) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010 + 0o0) + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(328 - 280) + '\x6f' + chr(0b100010 + 0o17) + chr(0b1101 + 0o51) + chr(0b11111 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(514 - 466) + '\x6f' + chr(0b10010 + 0o37) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(5210 - 5099) + chr(50) + chr(0b110011) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110100) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1289 - 1239) + chr(0b10010 + 0o44) + '\063', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(1130 - 1019) + chr(0b1 + 0o63) + '\064', 0b1000), ehT0Px3KOsy9(chr(1151 - 1103) + '\157' + chr(0b101011 + 0o6) + '\061' + chr(50), 15212 - 15204), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b101 + 0o54) + chr(2279 - 2230) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + '\x33' + chr(0b110011 + 0o1) + chr(0b10100 + 0o36), 43176 - 43168), ehT0Px3KOsy9(chr(1783 - 1735) + chr(8463 - 8352) + chr(0b110010) + chr(0b110111) + chr(2366 - 2313), 0o10), ehT0Px3KOsy9(chr(218 - 170) + chr(0b1101111) + '\067' + chr(0b100101 + 0o21), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10930 - 10819) + chr(0b1010 + 0o51) + '\064' + '\067', 52130 - 52122)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2382 - 2329) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'a'), '\x64' + chr(101) + chr(985 - 886) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + '\146' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FtYPRYzRIKrT(oVre8I6UXc3b, lE2X6K1ZHhvs, bqp1YpUW7Jr7, TYLiWM4DVon9, IHv8qEgJfSN3):
l3yyRu1MyNBg = oVre8I6UXc3b.map(lambda OeWW0F1dBPRQ: (ehT0Px3KOsy9(chr(0b110000) + chr(9716 - 9605) + '\061', ord("\x08")), OeWW0F1dBPRQ))
nMVQM_HALGMN = l3yyRu1MyNBg.reduceByKeyAndWindow(lE2X6K1ZHhvs, bqp1YpUW7Jr7, TYLiWM4DVon9, IHv8qEgJfSN3, ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8))
return xafqLlk3kkUe(nMVQM_HALGMN, xafqLlk3kkUe(SXOLrMavuUCe(b'"}\xd8'), '\144' + '\145' + chr(0b10001 + 0o122) + chr(0b1101111) + chr(0b111100 + 0o50) + chr(101))('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(56)))(lambda oG9AO0uxBJ0V: oG9AO0uxBJ0V[ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 8)])
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.countByWindow
|
def countByWindow(self, windowDuration, slideDuration):
"""
Return a new DStream in which each RDD has a single element generated
by counting the number of elements in a window over this DStream.
windowDuration and slideDuration are as defined in the window() operation.
This is equivalent to window(windowDuration, slideDuration).count(),
but will be more efficient if window is large.
"""
return self.map(lambda x: 1).reduceByWindow(operator.add, operator.sub,
windowDuration, slideDuration)
|
python
|
def countByWindow(self, windowDuration, slideDuration):
"""
Return a new DStream in which each RDD has a single element generated
by counting the number of elements in a window over this DStream.
windowDuration and slideDuration are as defined in the window() operation.
This is equivalent to window(windowDuration, slideDuration).count(),
but will be more efficient if window is large.
"""
return self.map(lambda x: 1).reduceByWindow(operator.add, operator.sub,
windowDuration, slideDuration)
|
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"operator",
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",",
"operator",
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",",
"windowDuration",
",",
"slideDuration",
")"
] |
Return a new DStream in which each RDD has a single element generated
by counting the number of elements in a window over this DStream.
windowDuration and slideDuration are as defined in the window() operation.
This is equivalent to window(windowDuration, slideDuration).count(),
but will be more efficient if window is large.
|
[
"Return",
"a",
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"in",
"which",
"each",
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"a",
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"element",
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L473-L483
|
train
|
Return a new DStream with a count of the number of elements in a given window over this DStream.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(1930 - 1875) + chr(1824 - 1772), 25727 - 25719), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b110010) + chr(0b100001 + 0o22) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1198 - 1150) + '\157' + chr(0b100111 + 0o12) + '\x31' + chr(1956 - 1901), ord("\x08")), ehT0Px3KOsy9(chr(858 - 810) + '\x6f' + '\063' + chr(647 - 592) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(3171 - 3060) + chr(2068 - 2017) + '\066' + chr(51), 39611 - 39603), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1160 - 1109) + chr(2122 - 2074) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(291 - 240) + '\062' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b10101 + 0o40) + '\x35', 44406 - 44398), ehT0Px3KOsy9(chr(444 - 396) + '\x6f' + chr(49) + '\x35' + chr(0b10100 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(1315 - 1266) + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(708 - 660) + chr(0b1101111) + chr(0b1010 + 0o50) + chr(52) + chr(55), 2825 - 2817), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x30' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + chr(0b110001), 10080 - 10072), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1526 - 1475) + chr(1068 - 1015) + chr(0b1001 + 0o52), 27318 - 27310), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o43) + chr(0b110100) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1646 - 1598) + '\x6f' + chr(0b110 + 0o54) + '\x36' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(2292 - 2181) + chr(0b110001), 36911 - 36903), ehT0Px3KOsy9('\060' + chr(2701 - 2590) + chr(51) + '\067' + chr(0b10011 + 0o44), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\067' + chr(48), 40766 - 40758), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\067' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(1908 - 1854) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10100 + 0o37) + chr(0b11001 + 0o33) + '\x34', 28490 - 28482), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10011 + 0o36) + chr(1029 - 976), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110110) + '\x31', 59186 - 59178), ehT0Px3KOsy9(chr(0b110000) + chr(7698 - 7587) + '\066' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b101110 + 0o4) + chr(1748 - 1699), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x30' + chr(0b1110 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b0 + 0o61), 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(49) + '\062' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10000 + 0o43) + '\x33' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b110 + 0o151) + '\x31' + chr(53) + chr(0b100110 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5678 - 5567) + chr(49) + chr(0b100011 + 0o24) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(5177 - 5066) + chr(0b11 + 0o64) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110010) + chr(0b101111 + 0o2), 29509 - 29501), ehT0Px3KOsy9('\060' + '\157' + chr(419 - 370) + chr(0b101011 + 0o5) + chr(0b100001 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(53) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b111101 + 0o62) + chr(0b110001 + 0o6) + chr(0b1001 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\x31' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(176 - 128) + chr(0b1101111) + chr(0b110011) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(0b110010) + '\066', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x92'), chr(0b110011 + 0o61) + chr(0b101000 + 0o75) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b11 + 0o162) + '\164' + chr(0b110101 + 0o61) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def O8FPrpUu9F24(oVre8I6UXc3b, TYLiWM4DVon9, IHv8qEgJfSN3):
return xafqLlk3kkUe(oVre8I6UXc3b.map(lambda OeWW0F1dBPRQ: ehT0Px3KOsy9(chr(0b110000) + chr(12286 - 12175) + '\061', 8)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xfb+\x8c\x90\xa6\x94\x94=\x0c\xc9#^\x9c'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))(chr(10175 - 10058) + '\164' + chr(1823 - 1721) + chr(170 - 125) + '\070'))(xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xfa+'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(4756 - 4656) + chr(0b111110 + 0o47))(chr(117) + chr(0b1110100) + chr(0b10101 + 0o121) + chr(1615 - 1570) + chr(1958 - 1902))), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xeb-'), '\x64' + chr(0b101100 + 0o71) + chr(0b100000 + 0o103) + '\157' + chr(0b1100100) + chr(9540 - 9439))(chr(0b110 + 0o157) + '\x74' + '\x66' + chr(0b101101) + chr(0b100000 + 0o30))), TYLiWM4DVon9, IHv8qEgJfSN3)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.countByValueAndWindow
|
def countByValueAndWindow(self, windowDuration, slideDuration, numPartitions=None):
"""
Return a new DStream in which each RDD contains the count of distinct elements in
RDDs in a sliding window over this DStream.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: number of partitions of each RDD in the new DStream.
"""
keyed = self.map(lambda x: (x, 1))
counted = keyed.reduceByKeyAndWindow(operator.add, operator.sub,
windowDuration, slideDuration, numPartitions)
return counted.filter(lambda kv: kv[1] > 0)
|
python
|
def countByValueAndWindow(self, windowDuration, slideDuration, numPartitions=None):
"""
Return a new DStream in which each RDD contains the count of distinct elements in
RDDs in a sliding window over this DStream.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: number of partitions of each RDD in the new DStream.
"""
keyed = self.map(lambda x: (x, 1))
counted = keyed.reduceByKeyAndWindow(operator.add, operator.sub,
windowDuration, slideDuration, numPartitions)
return counted.filter(lambda kv: kv[1] > 0)
|
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] |
Return a new DStream in which each RDD contains the count of distinct elements in
RDDs in a sliding window over this DStream.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: number of partitions of each RDD in the new DStream.
|
[
"Return",
"a",
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"DStream",
"in",
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"each",
"RDD",
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L485-L500
|
train
|
Return a new DStream with the count of distinct elements in the given sliding window over this DStream.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\063' + chr(0b101110 + 0o3) + chr(51), 47840 - 47832), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10001 + 0o42) + chr(52) + chr(0b1111 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110001) + chr(53) + chr(1490 - 1435), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1618 - 1566) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b110011) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000 + 0o2) + chr(0b110101) + chr(1326 - 1273), 60471 - 60463), ehT0Px3KOsy9('\x30' + chr(111) + chr(1478 - 1426) + chr(0b10 + 0o60), 42138 - 42130), ehT0Px3KOsy9(chr(1219 - 1171) + chr(0b1101111) + chr(0b1110 + 0o44) + '\067', 0o10), ehT0Px3KOsy9(chr(322 - 274) + chr(111) + '\x37' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1823 - 1775) + chr(111) + chr(0b110010 + 0o5) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\063' + chr(55) + chr(1907 - 1858), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(1940 - 1829) + '\x35' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(350 - 302) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(219 - 171) + chr(111) + chr(51) + '\062' + chr(977 - 926), 0o10), ehT0Px3KOsy9(chr(774 - 726) + '\157' + '\063' + '\x37' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(49) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110111) + '\x30', 971 - 963), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b100010 + 0o17) + chr(360 - 307) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1011011 + 0o24) + '\061' + '\067', 62337 - 62329), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(50) + chr(876 - 823), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110000) + chr(0b101100 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3123 - 3012) + chr(0b100101 + 0o16) + chr(0b110011) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(0b111 + 0o54) + chr(53) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(1469 - 1416) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\067' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100101 + 0o15) + chr(0b1101 + 0o47) + chr(0b1010 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(442 - 390) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\x32' + chr(0b110110) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1385 - 1274) + chr(50) + chr(1765 - 1710) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\067' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(78 - 30) + chr(111) + chr(51) + '\x30' + chr(0b110010), 26713 - 26705), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(2104 - 2056) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(93 - 45) + chr(0b1010111 + 0o30) + chr(51) + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(1538 - 1485) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1011011 + 0o24) + '\061' + chr(0b11101 + 0o32) + '\x37', 20321 - 20313), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(53) + chr(0b1111 + 0o41), 46546 - 46538), ehT0Px3KOsy9(chr(2010 - 1962) + chr(0b1101111) + '\x36' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(749 - 701) + chr(0b101010 + 0o105) + '\063' + chr(50) + chr(0b10110 + 0o34), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x37' + chr(52), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(0b10011 + 0o35), 46195 - 46187)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5'), chr(100) + chr(7445 - 7344) + chr(99) + '\157' + chr(9758 - 9658) + '\x65')(chr(0b1110101 + 0o0) + chr(0b1110 + 0o146) + '\146' + chr(0b1 + 0o54) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def S9eD3N3R_aTY(oVre8I6UXc3b, TYLiWM4DVon9, IHv8qEgJfSN3, Q9o8DFLjAoB0=None):
l3yyRu1MyNBg = oVre8I6UXc3b.map(lambda OeWW0F1dBPRQ: (OeWW0F1dBPRQ, ehT0Px3KOsy9(chr(1376 - 1328) + chr(0b1101111) + '\x31', 32500 - 32492)))
iiM8Bu0uMbEf = l3yyRu1MyNBg.reduceByKeyAndWindow(xJShi6yitBWy.add, xJShi6yitBWy.sub, TYLiWM4DVon9, IHv8qEgJfSN3, Q9o8DFLjAoB0)
return xafqLlk3kkUe(iiM8Bu0uMbEf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x8f\x03S}\xdf'), chr(100) + '\x65' + '\143' + '\157' + chr(0b110 + 0o136) + chr(0b1010101 + 0o20))(chr(5019 - 4902) + '\164' + chr(102) + chr(0b11101 + 0o20) + chr(2398 - 2342)))(lambda oG9AO0uxBJ0V: oG9AO0uxBJ0V[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8)] > ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1001101 + 0o42) + chr(0b1100 + 0o44), 0b1000))
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.groupByKeyAndWindow
|
def groupByKeyAndWindow(self, windowDuration, slideDuration, numPartitions=None):
"""
Return a new DStream by applying `groupByKey` over a sliding window.
Similar to `DStream.groupByKey()`, but applies it over a sliding window.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: Number of partitions of each RDD in the new DStream.
"""
ls = self.mapValues(lambda x: [x])
grouped = ls.reduceByKeyAndWindow(lambda a, b: a.extend(b) or a, lambda a, b: a[len(b):],
windowDuration, slideDuration, numPartitions)
return grouped.mapValues(ResultIterable)
|
python
|
def groupByKeyAndWindow(self, windowDuration, slideDuration, numPartitions=None):
"""
Return a new DStream by applying `groupByKey` over a sliding window.
Similar to `DStream.groupByKey()`, but applies it over a sliding window.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: Number of partitions of each RDD in the new DStream.
"""
ls = self.mapValues(lambda x: [x])
grouped = ls.reduceByKeyAndWindow(lambda a, b: a.extend(b) or a, lambda a, b: a[len(b):],
windowDuration, slideDuration, numPartitions)
return grouped.mapValues(ResultIterable)
|
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] |
Return a new DStream by applying `groupByKey` over a sliding window.
Similar to `DStream.groupByKey()`, but applies it over a sliding window.
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: Number of partitions of each RDD in the new DStream.
|
[
"Return",
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L502-L517
|
train
|
Return a new DStream by applying groupByKeyAndWindow over a sliding window.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2057 - 2009) + chr(4391 - 4280) + chr(2257 - 2207) + chr(0b110001) + chr(0b11110 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(660 - 609) + chr(0b11101 + 0o25) + '\x36', 20212 - 20204), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o12) + '\x32' + chr(0b110001), 6675 - 6667), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110111) + chr(2521 - 2466), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(796 - 746) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x33' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(5899 - 5788) + chr(50) + chr(55) + chr(0b11001 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6798 - 6687) + chr(51) + chr(0b101010 + 0o13) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(53) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(1012 - 957) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(50) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110010) + chr(51), 0o10), ehT0Px3KOsy9(chr(491 - 443) + chr(0b11 + 0o154) + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110101) + chr(1571 - 1523), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(8388 - 8277) + chr(0b110010) + '\x30' + chr(1859 - 1804), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\x32' + chr(0b11111 + 0o27) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1156 - 1108) + '\157' + chr(0b101111 + 0o10) + '\x30', 36379 - 36371), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b11010 + 0o30) + chr(0b101000 + 0o14), 0o10), ehT0Px3KOsy9('\060' + chr(8357 - 8246) + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\067' + chr(1243 - 1190), 0b1000), ehT0Px3KOsy9(chr(2147 - 2099) + '\157' + chr(49) + chr(0b11 + 0o63) + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x33' + chr(2570 - 2519) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(49) + chr(0b100001 + 0o26) + chr(0b1100 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4563 - 4452) + chr(49) + chr(0b10110 + 0o41) + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b10 + 0o62) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + '\x32' + chr(993 - 944), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + '\x36' + '\064', 16647 - 16639), ehT0Px3KOsy9(chr(766 - 718) + '\x6f' + chr(49) + chr(1937 - 1886) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1611 - 1562) + chr(1585 - 1535) + chr(51), 0b1000), ehT0Px3KOsy9(chr(2158 - 2110) + '\157' + '\x32' + chr(52) + chr(854 - 804), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(1496 - 1444), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + '\x31' + chr(55) + chr(649 - 596), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x30' + '\x30', 41378 - 41370), ehT0Px3KOsy9(chr(48) + chr(8988 - 8877) + '\x33' + chr(0b101101 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(2017 - 1965) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(439 - 390) + '\x30' + '\067', 0b1000), ehT0Px3KOsy9(chr(829 - 781) + chr(9257 - 9146) + chr(2524 - 2473) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1009 - 954) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(389 - 278) + '\x31' + chr(52) + chr(48), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\065' + '\x30', 30913 - 30905)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(100) + chr(0b11010 + 0o113) + chr(8786 - 8687) + chr(0b1101111) + chr(0b111011 + 0o51) + chr(101))(chr(12292 - 12175) + chr(2977 - 2861) + chr(0b1011010 + 0o14) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _ripKQXqU5pV(oVre8I6UXc3b, TYLiWM4DVon9, IHv8qEgJfSN3, Q9o8DFLjAoB0=None):
UpOZDUoE144l = oVre8I6UXc3b.mapValues(lambda OeWW0F1dBPRQ: [OeWW0F1dBPRQ])
iYhy974p0Ldn = UpOZDUoE144l.reduceByKeyAndWindow(lambda XPh1qbAgrPgG, wmN3dvez4qzC: XPh1qbAgrPgG.extend(wmN3dvez4qzC) or XPh1qbAgrPgG, lambda XPh1qbAgrPgG, wmN3dvez4qzC: XPh1qbAgrPgG[c2A0yzQpDQB3(wmN3dvez4qzC):], TYLiWM4DVon9, IHv8qEgJfSN3, Q9o8DFLjAoB0)
return xafqLlk3kkUe(iYhy974p0Ldn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xb7\xe1)\xf01\xc9\x8f\x1e'), chr(0b1001101 + 0o27) + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + chr(101))('\x75' + chr(323 - 207) + '\x66' + chr(45) + chr(0b111000)))(sM03rrV6YDiH)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.reduceByKeyAndWindow
|
def reduceByKeyAndWindow(self, func, invFunc, windowDuration, slideDuration=None,
numPartitions=None, filterFunc=None):
"""
Return a new DStream by applying incremental `reduceByKey` over a sliding window.
The reduced value of over a new window is calculated using the old window's reduce value :
1. reduce the new values that entered the window (e.g., adding new counts)
2. "inverse reduce" the old values that left the window (e.g., subtracting old counts)
`invFunc` can be None, then it will reduce all the RDDs in window, could be slower
than having `invFunc`.
@param func: associative and commutative reduce function
@param invFunc: inverse function of `reduceFunc`
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: number of partitions of each RDD in the new DStream.
@param filterFunc: function to filter expired key-value pairs;
only pairs that satisfy the function are retained
set this to null if you do not want to filter
"""
self._validate_window_param(windowDuration, slideDuration)
if numPartitions is None:
numPartitions = self._sc.defaultParallelism
reduced = self.reduceByKey(func, numPartitions)
if invFunc:
def reduceFunc(t, a, b):
b = b.reduceByKey(func, numPartitions)
r = a.union(b).reduceByKey(func, numPartitions) if a else b
if filterFunc:
r = r.filter(filterFunc)
return r
def invReduceFunc(t, a, b):
b = b.reduceByKey(func, numPartitions)
joined = a.leftOuterJoin(b, numPartitions)
return joined.mapValues(lambda kv: invFunc(kv[0], kv[1])
if kv[1] is not None else kv[0])
jreduceFunc = TransformFunction(self._sc, reduceFunc, reduced._jrdd_deserializer)
jinvReduceFunc = TransformFunction(self._sc, invReduceFunc, reduced._jrdd_deserializer)
if slideDuration is None:
slideDuration = self._slideDuration
dstream = self._sc._jvm.PythonReducedWindowedDStream(
reduced._jdstream.dstream(),
jreduceFunc, jinvReduceFunc,
self._ssc._jduration(windowDuration),
self._ssc._jduration(slideDuration))
return DStream(dstream.asJavaDStream(), self._ssc, self._sc.serializer)
else:
return reduced.window(windowDuration, slideDuration).reduceByKey(func, numPartitions)
|
python
|
def reduceByKeyAndWindow(self, func, invFunc, windowDuration, slideDuration=None,
numPartitions=None, filterFunc=None):
"""
Return a new DStream by applying incremental `reduceByKey` over a sliding window.
The reduced value of over a new window is calculated using the old window's reduce value :
1. reduce the new values that entered the window (e.g., adding new counts)
2. "inverse reduce" the old values that left the window (e.g., subtracting old counts)
`invFunc` can be None, then it will reduce all the RDDs in window, could be slower
than having `invFunc`.
@param func: associative and commutative reduce function
@param invFunc: inverse function of `reduceFunc`
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: number of partitions of each RDD in the new DStream.
@param filterFunc: function to filter expired key-value pairs;
only pairs that satisfy the function are retained
set this to null if you do not want to filter
"""
self._validate_window_param(windowDuration, slideDuration)
if numPartitions is None:
numPartitions = self._sc.defaultParallelism
reduced = self.reduceByKey(func, numPartitions)
if invFunc:
def reduceFunc(t, a, b):
b = b.reduceByKey(func, numPartitions)
r = a.union(b).reduceByKey(func, numPartitions) if a else b
if filterFunc:
r = r.filter(filterFunc)
return r
def invReduceFunc(t, a, b):
b = b.reduceByKey(func, numPartitions)
joined = a.leftOuterJoin(b, numPartitions)
return joined.mapValues(lambda kv: invFunc(kv[0], kv[1])
if kv[1] is not None else kv[0])
jreduceFunc = TransformFunction(self._sc, reduceFunc, reduced._jrdd_deserializer)
jinvReduceFunc = TransformFunction(self._sc, invReduceFunc, reduced._jrdd_deserializer)
if slideDuration is None:
slideDuration = self._slideDuration
dstream = self._sc._jvm.PythonReducedWindowedDStream(
reduced._jdstream.dstream(),
jreduceFunc, jinvReduceFunc,
self._ssc._jduration(windowDuration),
self._ssc._jduration(slideDuration))
return DStream(dstream.asJavaDStream(), self._ssc, self._sc.serializer)
else:
return reduced.window(windowDuration, slideDuration).reduceByKey(func, numPartitions)
|
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] |
Return a new DStream by applying incremental `reduceByKey` over a sliding window.
The reduced value of over a new window is calculated using the old window's reduce value :
1. reduce the new values that entered the window (e.g., adding new counts)
2. "inverse reduce" the old values that left the window (e.g., subtracting old counts)
`invFunc` can be None, then it will reduce all the RDDs in window, could be slower
than having `invFunc`.
@param func: associative and commutative reduce function
@param invFunc: inverse function of `reduceFunc`
@param windowDuration: width of the window; must be a multiple of this DStream's
batching interval
@param slideDuration: sliding interval of the window (i.e., the interval after which
the new DStream will generate RDDs); must be a multiple of this
DStream's batching interval
@param numPartitions: number of partitions of each RDD in the new DStream.
@param filterFunc: function to filter expired key-value pairs;
only pairs that satisfy the function are retained
set this to null if you do not want to filter
|
[
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"a",
"new",
"DStream",
"by",
"applying",
"incremental",
"reduceByKey",
"over",
"a",
"sliding",
"window",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L519-L574
|
train
|
Returns a new DStream by applying incremental reduceByKey over a sliding window.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b110011) + chr(1514 - 1462) + chr(0b10001 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + chr(0b11010 + 0o33), 32640 - 32632), ehT0Px3KOsy9(chr(1106 - 1058) + chr(0b1000010 + 0o55) + '\x31' + chr(262 - 213) + chr(0b110110), 57160 - 57152), ehT0Px3KOsy9(chr(0b110000) + chr(1592 - 1481) + chr(2192 - 2142) + chr(961 - 907), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(1777 - 1728) + '\063' + chr(0b110101 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(0b100001 + 0o20) + chr(0b110100) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110110) + chr(2206 - 2157), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110000) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(2330 - 2280) + chr(1970 - 1921) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1738 - 1690) + chr(0b1101111) + chr(1809 - 1754) + '\x35', 21385 - 21377), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + '\x32' + '\060' + '\x36', 8), ehT0Px3KOsy9(chr(104 - 56) + chr(111) + chr(0b110010) + '\x33' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9283 - 9172) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b11101 + 0o26) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + '\x32' + '\061' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(870 - 817) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(854 - 804) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(48) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x35' + chr(0b101 + 0o61), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + '\060', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(1346 - 1294) + chr(54), 8), ehT0Px3KOsy9(chr(2239 - 2191) + chr(111) + chr(369 - 319) + chr(0b110000) + chr(0b101011 + 0o7), 34070 - 34062), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\062' + chr(0b11011 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\065' + chr(48), 1743 - 1735), ehT0Px3KOsy9('\x30' + '\157' + chr(1148 - 1098) + chr(1444 - 1393) + chr(0b11100 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x37' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1000 + 0o53) + chr(0b100001 + 0o21) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3039 - 2928) + chr(49) + chr(54) + chr(0b10011 + 0o41), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(1095 - 1046) + chr(0b100110 + 0o12) + chr(873 - 822), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + '\066' + chr(0b100011 + 0o16), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b110011) + chr(0b110001) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + '\061' + chr(0b1101 + 0o52) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o14) + '\x34' + chr(0b101101 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110101) + chr(2464 - 2410), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8960 - 8849) + chr(0b101000 + 0o11) + chr(0b110100) + '\063', 29559 - 29551), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(49) + '\064', 56344 - 56336), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(968 - 918) + chr(52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b10000 + 0o42) + '\063' + '\x35', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(52) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2331 - 2220) + chr(0b101001 + 0o12) + chr(0b110111) + chr(467 - 419), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(5132 - 5021) + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), '\144' + chr(0b1100101) + chr(8034 - 7935) + chr(6473 - 6362) + chr(0b10011 + 0o121) + chr(0b110010 + 0o63))(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uFfYZv9EhCu_(oVre8I6UXc3b, EzOtJ3kbK5x4, sbUr58xWSHbk, TYLiWM4DVon9, IHv8qEgJfSN3=None, Q9o8DFLjAoB0=None, bmdlviuWJMbD=None):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcC/z4\x02P\xf2\xe8b\xf1\xf0n\xfe\xe7\x9c\xc91\x0fr\x07\xef'), '\x64' + chr(1283 - 1182) + '\143' + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(0b1110010 + 0o2) + chr(0b100011 + 0o103) + chr(0b101101) + chr(56)))(TYLiWM4DVon9, IHv8qEgJfSN3)
if Q9o8DFLjAoB0 is None:
Q9o8DFLjAoB0 = oVre8I6UXc3b._sc.defaultParallelism
nMVQM_HALGMN = oVre8I6UXc3b.reduceByKey(EzOtJ3kbK5x4, Q9o8DFLjAoB0)
if sbUr58xWSHbk:
def lE2X6K1ZHhvs(YeT3l7JgTbWR, XPh1qbAgrPgG, wmN3dvez4qzC):
wmN3dvez4qzC = wmN3dvez4qzC.reduceByKey(EzOtJ3kbK5x4, Q9o8DFLjAoB0)
JWG5qApaeJkp = XPh1qbAgrPgG.union(wmN3dvez4qzC).reduceByKey(EzOtJ3kbK5x4, Q9o8DFLjAoB0) if XPh1qbAgrPgG else wmN3dvez4qzC
if bmdlviuWJMbD:
JWG5qApaeJkp = JWG5qApaeJkp.filter(bmdlviuWJMbD)
return JWG5qApaeJkp
def bqp1YpUW7Jr7(YeT3l7JgTbWR, XPh1qbAgrPgG, wmN3dvez4qzC):
wmN3dvez4qzC = wmN3dvez4qzC.reduceByKey(EzOtJ3kbK5x4, Q9o8DFLjAoB0)
Iba0UCcf8lPD = XPh1qbAgrPgG.leftOuterJoin(wmN3dvez4qzC, Q9o8DFLjAoB0)
return xafqLlk3kkUe(Iba0UCcf8lPD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eT>@<\nD\xe3\xfe'), chr(100) + chr(7833 - 7732) + '\143' + chr(0b1010100 + 0o33) + chr(7670 - 7570) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + chr(1716 - 1671) + '\070'))(lambda oG9AO0uxBJ0V: sbUr58xWSHbk(oG9AO0uxBJ0V[ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + '\x30', 8)], oG9AO0uxBJ0V[ehT0Px3KOsy9(chr(0b110000) + chr(8587 - 8476) + '\x31', 0b1000)]) if oG9AO0uxBJ0V[ehT0Px3KOsy9(chr(48) + '\157' + chr(2374 - 2325), 8)] is not None else oG9AO0uxBJ0V[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 8)])
LaAuA7lYJpw0 = KcCGtObbRcwG(oVre8I6UXc3b._sc, lE2X6K1ZHhvs, nMVQM_HALGMN._jrdd_deserializer)
Y7LoA7f9X6Jq = KcCGtObbRcwG(oVre8I6UXc3b._sc, bqp1YpUW7Jr7, nMVQM_HALGMN._jrdd_deserializer)
if IHv8qEgJfSN3 is None:
IHv8qEgJfSN3 = oVre8I6UXc3b._slideDuration
ed7CwPEnQ9NN = oVre8I6UXc3b._sc._jvm.PythonReducedWindowedDStream(nMVQM_HALGMN._jdstream.dstream(), LaAuA7lYJpw0, Y7LoA7f9X6Jq, oVre8I6UXc3b._ssc._jduration(TYLiWM4DVon9), oVre8I6UXc3b._ssc._jduration(IHv8qEgJfSN3))
return IfRlLZdPEjTM(xafqLlk3kkUe(ed7CwPEnQ9NN, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82F\x04w+\x07u\xd5\xf9O\xe3\xf8m'), chr(0b101100 + 0o70) + '\145' + '\x63' + chr(11751 - 11640) + chr(100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b10010 + 0o124) + chr(1830 - 1785) + chr(2747 - 2691)))(), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcF=u'), chr(1473 - 1373) + chr(101) + chr(99) + chr(401 - 290) + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(0b11001 + 0o115) + '\055' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b._sc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0v*g1\x00F\xb6\xecv\xc3\xc9'), chr(0b110010 + 0o62) + '\145' + chr(0b1111 + 0o124) + chr(111) + '\x64' + chr(0b1010001 + 0o24))(chr(0b1110101) + '\164' + '\146' + chr(0b10010 + 0o33) + chr(0b10010 + 0o46))))
else:
return xafqLlk3kkUe(nMVQM_HALGMN.window(TYLiWM4DVon9, IHv8qEgJfSN3), xafqLlk3kkUe(SXOLrMavuUCe(b'\x91P*c>\x03s\xff\xc6X\xff'), chr(2256 - 2156) + '\145' + chr(8247 - 8148) + '\157' + chr(0b1100100) + chr(0b101111 + 0o66))(chr(0b10110 + 0o137) + chr(0b11000 + 0o134) + chr(2711 - 2609) + chr(0b11000 + 0o25) + '\070'))(EzOtJ3kbK5x4, Q9o8DFLjAoB0)
|
apache/spark
|
python/pyspark/streaming/dstream.py
|
DStream.updateStateByKey
|
def updateStateByKey(self, updateFunc, numPartitions=None, initialRDD=None):
"""
Return a new "state" DStream where the state for each key is updated by applying
the given function on the previous state of the key and the new values of the key.
@param updateFunc: State update function. If this function returns None, then
corresponding state key-value pair will be eliminated.
"""
if numPartitions is None:
numPartitions = self._sc.defaultParallelism
if initialRDD and not isinstance(initialRDD, RDD):
initialRDD = self._sc.parallelize(initialRDD)
def reduceFunc(t, a, b):
if a is None:
g = b.groupByKey(numPartitions).mapValues(lambda vs: (list(vs), None))
else:
g = a.cogroup(b.partitionBy(numPartitions), numPartitions)
g = g.mapValues(lambda ab: (list(ab[1]), list(ab[0])[0] if len(ab[0]) else None))
state = g.mapValues(lambda vs_s: updateFunc(vs_s[0], vs_s[1]))
return state.filter(lambda k_v: k_v[1] is not None)
jreduceFunc = TransformFunction(self._sc, reduceFunc,
self._sc.serializer, self._jrdd_deserializer)
if initialRDD:
initialRDD = initialRDD._reserialize(self._jrdd_deserializer)
dstream = self._sc._jvm.PythonStateDStream(self._jdstream.dstream(), jreduceFunc,
initialRDD._jrdd)
else:
dstream = self._sc._jvm.PythonStateDStream(self._jdstream.dstream(), jreduceFunc)
return DStream(dstream.asJavaDStream(), self._ssc, self._sc.serializer)
|
python
|
def updateStateByKey(self, updateFunc, numPartitions=None, initialRDD=None):
"""
Return a new "state" DStream where the state for each key is updated by applying
the given function on the previous state of the key and the new values of the key.
@param updateFunc: State update function. If this function returns None, then
corresponding state key-value pair will be eliminated.
"""
if numPartitions is None:
numPartitions = self._sc.defaultParallelism
if initialRDD and not isinstance(initialRDD, RDD):
initialRDD = self._sc.parallelize(initialRDD)
def reduceFunc(t, a, b):
if a is None:
g = b.groupByKey(numPartitions).mapValues(lambda vs: (list(vs), None))
else:
g = a.cogroup(b.partitionBy(numPartitions), numPartitions)
g = g.mapValues(lambda ab: (list(ab[1]), list(ab[0])[0] if len(ab[0]) else None))
state = g.mapValues(lambda vs_s: updateFunc(vs_s[0], vs_s[1]))
return state.filter(lambda k_v: k_v[1] is not None)
jreduceFunc = TransformFunction(self._sc, reduceFunc,
self._sc.serializer, self._jrdd_deserializer)
if initialRDD:
initialRDD = initialRDD._reserialize(self._jrdd_deserializer)
dstream = self._sc._jvm.PythonStateDStream(self._jdstream.dstream(), jreduceFunc,
initialRDD._jrdd)
else:
dstream = self._sc._jvm.PythonStateDStream(self._jdstream.dstream(), jreduceFunc)
return DStream(dstream.asJavaDStream(), self._ssc, self._sc.serializer)
|
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] |
Return a new "state" DStream where the state for each key is updated by applying
the given function on the previous state of the key and the new values of the key.
@param updateFunc: State update function. If this function returns None, then
corresponding state key-value pair will be eliminated.
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/streaming/dstream.py#L576-L608
|
train
|
Returns a new DStream where the state for each key is updated by applying updateFunc on the previous state of the key and the new values of the key.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(49) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b0 + 0o64) + '\067', 53500 - 53492), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o11) + '\x37' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(237 - 189) + '\x6f' + chr(981 - 930) + chr(0b110000) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\060' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b11000 + 0o37) + '\x34', 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(1131 - 1020) + '\x37' + '\065', 56514 - 56506), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b10011 + 0o37) + chr(958 - 903) + '\064', 8), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(3726 - 3615) + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(621 - 568) + chr(1138 - 1083), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + chr(55), 33108 - 33100), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x33' + '\x35', 25176 - 25168), ehT0Px3KOsy9(chr(1134 - 1086) + '\157' + '\063' + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b110010) + chr(0b11 + 0o55) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12131 - 12020) + chr(0b1010 + 0o51) + '\x36' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(2409 - 2354) + '\x34', 54325 - 54317), ehT0Px3KOsy9('\x30' + '\157' + '\x31', 0b1000), ehT0Px3KOsy9(chr(777 - 729) + chr(0b1100110 + 0o11) + chr(51) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\065' + '\061', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b100 + 0o56) + '\x32', 60319 - 60311), ehT0Px3KOsy9(chr(117 - 69) + chr(4420 - 4309) + chr(49) + chr(0b110001) + '\066', 17414 - 17406), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101000 + 0o7) + '\x32' + chr(0b110010) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001 + 0o0) + '\x34' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2096 - 2041), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x32' + chr(48), 0o10), ehT0Px3KOsy9(chr(951 - 903) + chr(0b1101111) + chr(1351 - 1300) + '\060' + chr(0b110000 + 0o4), 8), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + '\x32' + '\067' + chr(0b1011 + 0o46), 35911 - 35903), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x34' + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2115 - 2064) + chr(49) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(8958 - 8847) + chr(0b110001) + chr(54) + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x35' + chr(0b10000 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(666 - 617) + chr(48) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(9228 - 9117) + chr(0b1101 + 0o44) + chr(233 - 181) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100111 + 0o14) + '\x36' + chr(882 - 832), 19845 - 19837), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9667 - 9556) + chr(49) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + '\x34' + chr(0b110100), 24156 - 24148)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), chr(2649 - 2549) + '\x65' + '\x63' + chr(111) + '\x64' + chr(7238 - 7137))(chr(13265 - 13148) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b11101 + 0o33)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Bu6Atp_QzqL3(oVre8I6UXc3b, VRpGSAoIoqb2, Q9o8DFLjAoB0=None, IBrMWLMpwdQ1=None):
if Q9o8DFLjAoB0 is None:
Q9o8DFLjAoB0 = oVre8I6UXc3b._sc.defaultParallelism
if IBrMWLMpwdQ1 and (not PlSM16l2KDPD(IBrMWLMpwdQ1, uXEA_h84GXBu)):
IBrMWLMpwdQ1 = oVre8I6UXc3b._sc.parallelize(IBrMWLMpwdQ1)
def lE2X6K1ZHhvs(YeT3l7JgTbWR, XPh1qbAgrPgG, wmN3dvez4qzC):
if XPh1qbAgrPgG is None:
RWHpzFEeviFP = wmN3dvez4qzC.groupByKey(Q9o8DFLjAoB0).mapValues(lambda qGaVI8v_Oz7A: (YyaZ4tpXu4lf(qGaVI8v_Oz7A), None))
else:
RWHpzFEeviFP = XPh1qbAgrPgG.cogroup(wmN3dvez4qzC.partitionBy(Q9o8DFLjAoB0), Q9o8DFLjAoB0)
RWHpzFEeviFP = RWHpzFEeviFP.mapValues(lambda R2ZENHTHe0lL: (YyaZ4tpXu4lf(R2ZENHTHe0lL[ehT0Px3KOsy9(chr(1106 - 1058) + chr(0b1001110 + 0o41) + chr(0b110001), 8)]), YyaZ4tpXu4lf(R2ZENHTHe0lL[ehT0Px3KOsy9(chr(454 - 406) + chr(11070 - 10959) + chr(48), 3278 - 3270)])[ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b101011 + 0o5), 8)] if c2A0yzQpDQB3(R2ZENHTHe0lL[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 8)]) else None))
KKFQISrGeiAm = RWHpzFEeviFP.mapValues(lambda oU1HeWgNc7nq: VRpGSAoIoqb2(oU1HeWgNc7nq[ehT0Px3KOsy9('\x30' + '\157' + '\060', 8)], oU1HeWgNc7nq[ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(1286 - 1237), 8)]))
return xafqLlk3kkUe(KKFQISrGeiAm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\x0en\xc8\xc4\xb6'), chr(100) + chr(101) + chr(4421 - 4322) + chr(111) + '\x64' + chr(101))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000)))(lambda F6c4_A6Oz8qN: F6c4_A6Oz8qN[ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(0b1010 + 0o47), 8)] is not None)
LaAuA7lYJpw0 = KcCGtObbRcwG(oVre8I6UXc3b._sc, lE2X6K1ZHhvs, oVre8I6UXc3b._sc.SCdqlfw0aKEP, oVre8I6UXc3b._jrdd_deserializer)
if IBrMWLMpwdQ1:
IBrMWLMpwdQ1 = IBrMWLMpwdQ1._reserialize(oVre8I6UXc3b._jrdd_deserializer)
ed7CwPEnQ9NN = oVre8I6UXc3b._sc._jvm.PythonStateDStream(oVre8I6UXc3b._jdstream.dstream(), LaAuA7lYJpw0, IBrMWLMpwdQ1._jrdd)
else:
ed7CwPEnQ9NN = oVre8I6UXc3b._sc._jvm.PythonStateDStream(oVre8I6UXc3b._jdstream.dstream(), LaAuA7lYJpw0)
return IfRlLZdPEjTM(xafqLlk3kkUe(ed7CwPEnQ9NN, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x14H\xdd\xd7\xa5\xc4\xefI\xceTNR'), '\x64' + chr(0b11111 + 0o106) + '\143' + chr(0b110001 + 0o76) + chr(0b1001010 + 0o32) + '\145')(chr(2591 - 2474) + '\x74' + chr(0b1000101 + 0o41) + chr(1422 - 1377) + '\070'))(), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x14q\xdf'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + chr(6372 - 6272) + chr(8916 - 8815))(chr(117) + chr(8717 - 8601) + '\x66' + '\055' + chr(0b110 + 0o62))), xafqLlk3kkUe(oVre8I6UXc3b._sc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd$f\xcd\xcd\xa2\xf7\x8c\\\xf7t\x7f'), chr(2228 - 2128) + chr(0b11010 + 0o113) + chr(99) + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(116) + '\146' + chr(436 - 391) + chr(56))))
|
apache/spark
|
python/pyspark/ml/fpm.py
|
FPGrowth.setParams
|
def setParams(self, minSupport=0.3, minConfidence=0.8, itemsCol="items",
predictionCol="prediction", numPartitions=None):
"""
setParams(self, minSupport=0.3, minConfidence=0.8, itemsCol="items", \
predictionCol="prediction", numPartitions=None)
"""
kwargs = self._input_kwargs
return self._set(**kwargs)
|
python
|
def setParams(self, minSupport=0.3, minConfidence=0.8, itemsCol="items",
predictionCol="prediction", numPartitions=None):
"""
setParams(self, minSupport=0.3, minConfidence=0.8, itemsCol="items", \
predictionCol="prediction", numPartitions=None)
"""
kwargs = self._input_kwargs
return self._set(**kwargs)
|
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] |
setParams(self, minSupport=0.3, minConfidence=0.8, itemsCol="items", \
predictionCol="prediction", numPartitions=None)
|
[
"setParams",
"(",
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"=",
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/ml/fpm.py#L237-L244
|
train
|
Sets the parameters of the current object to match the input parameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(780 - 669) + chr(0b110010) + chr(0b100111 + 0o20) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + '\063' + chr(0b10100 + 0o35) + '\x31', 46111 - 46103), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(52) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b101110 + 0o4) + chr(0b110001) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(50) + '\x32' + chr(0b110000 + 0o5), 0b1000), ehT0Px3KOsy9(chr(218 - 170) + chr(11572 - 11461) + '\061' + chr(0b100010 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + chr(0b110010) + chr(2192 - 2139) + chr(1278 - 1228), 34054 - 34046), ehT0Px3KOsy9(chr(1511 - 1463) + chr(0b1101111) + '\061' + chr(553 - 505) + '\061', 38162 - 38154), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10001 + 0o40) + chr(0b100 + 0o56) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(2458 - 2404) + chr(0b1111 + 0o42), 0b1000), ehT0Px3KOsy9('\x30' + chr(3877 - 3766) + '\x31' + chr(0b10000 + 0o44) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(127 - 78) + chr(0b110101) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + '\x33' + chr(51) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110111) + chr(1826 - 1773), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(648 - 598) + chr(0b101000 + 0o12) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\064' + chr(50), 12134 - 12126), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1010 + 0o51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\060' + chr(604 - 555), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\062' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x30' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b100101 + 0o112) + '\x32' + chr(0b110110), 4345 - 4337), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b1110 + 0o46) + chr(89 - 39), 57637 - 57629), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b111110 + 0o61) + '\062' + chr(48) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1166 - 1118) + chr(0b1101111) + chr(49) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b0 + 0o63) + chr(54) + '\062', 44971 - 44963), ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(3654 - 3543) + chr(0b101101 + 0o6) + '\065' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11111 + 0o22) + chr(0b110010 + 0o0) + chr(270 - 216), 47360 - 47352), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x34' + chr(2054 - 1999), 10443 - 10435), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\062' + '\064', 24509 - 24501), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110000 + 0o6) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100011 + 0o16) + '\064' + '\067', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(2790 - 2737) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(464 - 414) + chr(0b11001 + 0o36), 8), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + '\x33' + chr(0b110000) + chr(0b110000), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + chr(2219 - 2171), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), chr(4923 - 4823) + chr(101) + '\x63' + chr(7295 - 7184) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(102) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DGwEbG_Z2rxu(oVre8I6UXc3b, xGoHoZkK25AB=0.3, zrJ_vxGK1GQU=0.8, G4uPOXA8N8eo=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\xbd\x80\xe2\xe6'), '\x64' + chr(5561 - 5460) + '\143' + chr(0b1101111) + chr(0b1001110 + 0o26) + chr(101))(chr(1636 - 1519) + '\x74' + '\x66' + '\x2d' + chr(56)), VTxYoC44UxBo=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xbb\x80\xeb\xfck\xde(8\xdf'), chr(9701 - 9601) + chr(0b100111 + 0o76) + chr(0b100010 + 0o101) + chr(111) + '\x64' + '\145')(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)), Q9o8DFLjAoB0=None):
M8EIoTs2GJXE = oVre8I6UXc3b.DZdgSvTM7Qwb
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xba\x80\xfb'), chr(100) + chr(4455 - 4354) + chr(0b101001 + 0o72) + chr(10634 - 10523) + chr(0b1010 + 0o132) + chr(0b101011 + 0o72))(chr(10167 - 10050) + chr(0b1110100) + '\146' + chr(45) + chr(639 - 583)))(**M8EIoTs2GJXE)
|
apache/spark
|
python/pyspark/ml/fpm.py
|
PrefixSpan.setParams
|
def setParams(self, minSupport=0.1, maxPatternLength=10, maxLocalProjDBSize=32000000,
sequenceCol="sequence"):
"""
setParams(self, minSupport=0.1, maxPatternLength=10, maxLocalProjDBSize=32000000, \
sequenceCol="sequence")
"""
kwargs = self._input_kwargs
return self._set(**kwargs)
|
python
|
def setParams(self, minSupport=0.1, maxPatternLength=10, maxLocalProjDBSize=32000000,
sequenceCol="sequence"):
"""
setParams(self, minSupport=0.1, maxPatternLength=10, maxLocalProjDBSize=32000000, \
sequenceCol="sequence")
"""
kwargs = self._input_kwargs
return self._set(**kwargs)
|
[
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"maxPatternLength",
"=",
"10",
",",
"maxLocalProjDBSize",
"=",
"32000000",
",",
"sequenceCol",
"=",
"\"sequence\"",
")",
":",
"kwargs",
"=",
"self",
".",
"_input_kwargs",
"return",
"self",
".",
"_set",
"(",
"*",
"*",
"kwargs",
")"
] |
setParams(self, minSupport=0.1, maxPatternLength=10, maxLocalProjDBSize=32000000, \
sequenceCol="sequence")
|
[
"setParams",
"(",
"self",
"minSupport",
"=",
"0",
".",
"1",
"maxPatternLength",
"=",
"10",
"maxLocalProjDBSize",
"=",
"32000000",
"\\",
"sequenceCol",
"=",
"sequence",
")"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/ml/fpm.py#L304-L311
|
train
|
Sets the parameters of the object to be used for the log record.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(12185 - 12074) + chr(177 - 128) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(1463 - 1411) + chr(566 - 518), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + chr(0b101010 + 0o11) + '\x37' + chr(0b10001 + 0o44), 0b1000), ehT0Px3KOsy9('\x30' + chr(2503 - 2392) + chr(49), 59832 - 59824), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(50) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(0b11110 + 0o24) + '\063' + '\067', 12205 - 12197), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(67 - 16) + chr(48) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5665 - 5554) + chr(0b110011) + '\063' + chr(0b110011), 21163 - 21155), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1106 - 1055) + chr(0b110011), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\x35' + '\x37', 57937 - 57929), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(1009 - 960) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\x31' + chr(0b110101) + chr(0b10111 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x37' + chr(1585 - 1532), 0b1000), ehT0Px3KOsy9(chr(1108 - 1060) + '\x6f' + '\067', 49133 - 49125), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\062' + chr(54), 0b1000), ehT0Px3KOsy9(chr(769 - 721) + chr(0b1101111) + chr(0b110010) + '\061' + chr(49), 0o10), ehT0Px3KOsy9(chr(1296 - 1248) + chr(8087 - 7976) + chr(51) + '\x33', 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1011011 + 0o24) + chr(49) + chr(49) + '\067', 7218 - 7210), ehT0Px3KOsy9(chr(48) + chr(10172 - 10061) + chr(0b110011 + 0o0) + chr(0b110000) + chr(723 - 674), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\064' + '\x36', 7032 - 7024), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b110100 + 0o1) + '\x31', 29721 - 29713), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x30' + chr(0b10100 + 0o42), 52402 - 52394), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1010010 + 0o35) + chr(51) + '\065' + chr(1571 - 1517), 0o10), ehT0Px3KOsy9(chr(1222 - 1174) + '\157' + chr(1183 - 1132) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o24) + chr(53) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11111 + 0o23) + chr(1151 - 1098) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x33' + chr(818 - 764), 5462 - 5454), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(1410 - 1299) + chr(2141 - 2087) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(559 - 511) + chr(0b100011 + 0o24), 20214 - 20206), ehT0Px3KOsy9('\x30' + chr(111) + chr(629 - 580) + chr(48) + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\063' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110010) + '\x36' + chr(0b1000 + 0o53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(53) + chr(51), 26361 - 26353), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o31) + chr(0b1101 + 0o43) + chr(0b100000 + 0o21), 414 - 406), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(11990 - 11879) + chr(2246 - 2197) + chr(0b101 + 0o56) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b100001 + 0o22) + '\062', 2406 - 2398)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(823 - 712) + '\065' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'!'), chr(100) + chr(9216 - 9115) + chr(8725 - 8626) + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(0b101 + 0o157) + chr(0b11100 + 0o112) + chr(0b11000 + 0o25) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DGwEbG_Z2rxu(oVre8I6UXc3b, xGoHoZkK25AB=0.1, IL__1OXLF7zi=ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b101 + 0o152) + '\x31' + chr(0b110010), 0o10), h6aZtbD1S6cA=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(2043 - 1988) + '\062' + '\x30' + chr(2654 - 2602) + '\064' + chr(0b110000) + chr(1246 - 1198) + chr(0b110000), 17049 - 17041), tKCWdGMwaJL1=xafqLlk3kkUe(SXOLrMavuUCe(b'|\x85\x8ct\xf5\xf1\xa2\xbe'), '\x64' + chr(0b1011000 + 0o15) + chr(5137 - 5038) + chr(7086 - 6975) + '\144' + '\145')(chr(0b1101111 + 0o6) + chr(116) + chr(237 - 135) + '\x2d' + '\x38')):
M8EIoTs2GJXE = oVre8I6UXc3b.DZdgSvTM7Qwb
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'P\x93\x98u'), chr(100) + chr(101) + '\x63' + chr(0b1100100 + 0o13) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b101111 + 0o105) + chr(0b1101 + 0o131) + chr(0b101101) + '\070'))(**M8EIoTs2GJXE)
|
apache/spark
|
python/pyspark/ml/fpm.py
|
PrefixSpan.findFrequentSequentialPatterns
|
def findFrequentSequentialPatterns(self, dataset):
"""
.. note:: Experimental
Finds the complete set of frequent sequential patterns in the input sequences of itemsets.
:param dataset: A dataframe containing a sequence column which is
`ArrayType(ArrayType(T))` type, T is the item type for the input dataset.
:return: A `DataFrame` that contains columns of sequence and corresponding frequency.
The schema of it will be:
- `sequence: ArrayType(ArrayType(T))` (T is the item type)
- `freq: Long`
>>> from pyspark.ml.fpm import PrefixSpan
>>> from pyspark.sql import Row
>>> df = sc.parallelize([Row(sequence=[[1, 2], [3]]),
... Row(sequence=[[1], [3, 2], [1, 2]]),
... Row(sequence=[[1, 2], [5]]),
... Row(sequence=[[6]])]).toDF()
>>> prefixSpan = PrefixSpan(minSupport=0.5, maxPatternLength=5)
>>> prefixSpan.findFrequentSequentialPatterns(df).sort("sequence").show(truncate=False)
+----------+----+
|sequence |freq|
+----------+----+
|[[1]] |3 |
|[[1], [3]]|2 |
|[[1, 2]] |3 |
|[[2]] |3 |
|[[3]] |2 |
+----------+----+
.. versionadded:: 2.4.0
"""
self._transfer_params_to_java()
jdf = self._java_obj.findFrequentSequentialPatterns(dataset._jdf)
return DataFrame(jdf, dataset.sql_ctx)
|
python
|
def findFrequentSequentialPatterns(self, dataset):
"""
.. note:: Experimental
Finds the complete set of frequent sequential patterns in the input sequences of itemsets.
:param dataset: A dataframe containing a sequence column which is
`ArrayType(ArrayType(T))` type, T is the item type for the input dataset.
:return: A `DataFrame` that contains columns of sequence and corresponding frequency.
The schema of it will be:
- `sequence: ArrayType(ArrayType(T))` (T is the item type)
- `freq: Long`
>>> from pyspark.ml.fpm import PrefixSpan
>>> from pyspark.sql import Row
>>> df = sc.parallelize([Row(sequence=[[1, 2], [3]]),
... Row(sequence=[[1], [3, 2], [1, 2]]),
... Row(sequence=[[1, 2], [5]]),
... Row(sequence=[[6]])]).toDF()
>>> prefixSpan = PrefixSpan(minSupport=0.5, maxPatternLength=5)
>>> prefixSpan.findFrequentSequentialPatterns(df).sort("sequence").show(truncate=False)
+----------+----+
|sequence |freq|
+----------+----+
|[[1]] |3 |
|[[1], [3]]|2 |
|[[1, 2]] |3 |
|[[2]] |3 |
|[[3]] |2 |
+----------+----+
.. versionadded:: 2.4.0
"""
self._transfer_params_to_java()
jdf = self._java_obj.findFrequentSequentialPatterns(dataset._jdf)
return DataFrame(jdf, dataset.sql_ctx)
|
[
"def",
"findFrequentSequentialPatterns",
"(",
"self",
",",
"dataset",
")",
":",
"self",
".",
"_transfer_params_to_java",
"(",
")",
"jdf",
"=",
"self",
".",
"_java_obj",
".",
"findFrequentSequentialPatterns",
"(",
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".",
"_jdf",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"dataset",
".",
"sql_ctx",
")"
] |
.. note:: Experimental
Finds the complete set of frequent sequential patterns in the input sequences of itemsets.
:param dataset: A dataframe containing a sequence column which is
`ArrayType(ArrayType(T))` type, T is the item type for the input dataset.
:return: A `DataFrame` that contains columns of sequence and corresponding frequency.
The schema of it will be:
- `sequence: ArrayType(ArrayType(T))` (T is the item type)
- `freq: Long`
>>> from pyspark.ml.fpm import PrefixSpan
>>> from pyspark.sql import Row
>>> df = sc.parallelize([Row(sequence=[[1, 2], [3]]),
... Row(sequence=[[1], [3, 2], [1, 2]]),
... Row(sequence=[[1, 2], [5]]),
... Row(sequence=[[6]])]).toDF()
>>> prefixSpan = PrefixSpan(minSupport=0.5, maxPatternLength=5)
>>> prefixSpan.findFrequentSequentialPatterns(df).sort("sequence").show(truncate=False)
+----------+----+
|sequence |freq|
+----------+----+
|[[1]] |3 |
|[[1], [3]]|2 |
|[[1, 2]] |3 |
|[[2]] |3 |
|[[3]] |2 |
+----------+----+
.. versionadded:: 2.4.0
|
[
"..",
"note",
"::",
"Experimental"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/ml/fpm.py#L314-L349
|
train
|
Find the complete set of frequent sequential patterns in the input sequences of itemsets.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(101 - 47) + chr(0b110101), 15631 - 15623), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10101 + 0o35) + chr(0b111 + 0o53) + chr(1092 - 1039), 31938 - 31930), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(50) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1360 - 1309) + chr(50), 30222 - 30214), ehT0Px3KOsy9(chr(1491 - 1443) + chr(111) + chr(1668 - 1619), 0b1000), ehT0Px3KOsy9(chr(65 - 17) + chr(0b10 + 0o155) + chr(0b1001 + 0o52) + chr(1872 - 1821) + chr(1005 - 950), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o60) + chr(0b110100) + chr(0b10100 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2375 - 2264) + chr(0b110011) + '\060' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(1875 - 1824) + '\064' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1011 + 0o46) + '\066' + chr(0b110010), 23895 - 23887), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(54) + chr(50), 32228 - 32220), ehT0Px3KOsy9('\060' + chr(2540 - 2429) + chr(0b1010 + 0o47) + chr(0b1001 + 0o56) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(505 - 457) + chr(0b1100 + 0o143) + chr(0b10101 + 0o35) + chr(0b110000) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b101111 + 0o100) + '\x32' + chr(0b101010 + 0o6) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2322 - 2271) + chr(51) + chr(2038 - 1989), 0b1000), ehT0Px3KOsy9(chr(234 - 186) + '\157' + chr(0b110011) + chr(54) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4110 - 3999) + '\063' + chr(0b110110) + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + chr(0b101000 + 0o11) + chr(720 - 671) + chr(50), 14011 - 14003), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(1080 - 1029) + chr(55) + chr(921 - 871), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b110011) + chr(587 - 538) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(352 - 298) + chr(0b100110 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + chr(576 - 465) + chr(0b110110), 11289 - 11281), ehT0Px3KOsy9(chr(1616 - 1568) + chr(0b1101111) + '\x32' + '\x36' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(423 - 312) + chr(0b10011 + 0o40) + chr(51) + chr(0b110011 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(1638 - 1586) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12288 - 12177) + chr(49) + '\x35' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1182 - 1131) + '\066' + chr(48), 49074 - 49066), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b110010) + chr(0b110011 + 0o1) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(51) + chr(53) + chr(0b110110), 27174 - 27166), ehT0Px3KOsy9('\x30' + chr(5786 - 5675) + chr(0b10110 + 0o35) + chr(0b110000) + chr(0b111 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1172 - 1123) + chr(0b10 + 0o62) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(2199 - 2150) + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1207 - 1153), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x35' + chr(538 - 490), 24391 - 24383), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(51) + chr(0b110000), 38309 - 38301), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11111 + 0o24) + chr(0b11111 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\064' + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1353 - 1305) + chr(111) + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b'), chr(0b10111 + 0o115) + chr(0b10011 + 0o122) + chr(0b111111 + 0o44) + '\157' + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b110110 + 0o2)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Ph9Wumh2coYS(oVre8I6UXc3b, xQt6gV9VfTO3):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'j\xe1\xa2{o\xacU\xc1\xb6\xb8\x02S\x0c\xe1\xec\xaa\xad\x86%\xa5\xa6f\x06g'), '\144' + chr(101) + '\143' + '\157' + chr(100) + chr(0b1100101))('\165' + chr(116) + chr(102) + '\055' + chr(0b101101 + 0o13)))()
Q5S9qUhElRYW = oVre8I6UXc3b._java_obj.findFrequentSequentialPatterns(xQt6gV9VfTO3._jdf)
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(xQt6gV9VfTO3, xafqLlk3kkUe(SXOLrMavuUCe(b'F\xe4\xbcEb\xabK'), chr(0b1100100) + '\x65' + '\143' + chr(5812 - 5701) + '\144' + chr(3935 - 3834))('\165' + chr(0b1110100) + chr(0b1100110) + chr(1293 - 1248) + chr(0b101101 + 0o13))))
|
apache/spark
|
python/pyspark/traceback_utils.py
|
first_spark_call
|
def first_spark_call():
"""
Return a CallSite representing the first Spark call in the current call stack.
"""
tb = traceback.extract_stack()
if len(tb) == 0:
return None
file, line, module, what = tb[len(tb) - 1]
sparkpath = os.path.dirname(file)
first_spark_frame = len(tb) - 1
for i in range(0, len(tb)):
file, line, fun, what = tb[i]
if file.startswith(sparkpath):
first_spark_frame = i
break
if first_spark_frame == 0:
file, line, fun, what = tb[0]
return CallSite(function=fun, file=file, linenum=line)
sfile, sline, sfun, swhat = tb[first_spark_frame]
ufile, uline, ufun, uwhat = tb[first_spark_frame - 1]
return CallSite(function=sfun, file=ufile, linenum=uline)
|
python
|
def first_spark_call():
"""
Return a CallSite representing the first Spark call in the current call stack.
"""
tb = traceback.extract_stack()
if len(tb) == 0:
return None
file, line, module, what = tb[len(tb) - 1]
sparkpath = os.path.dirname(file)
first_spark_frame = len(tb) - 1
for i in range(0, len(tb)):
file, line, fun, what = tb[i]
if file.startswith(sparkpath):
first_spark_frame = i
break
if first_spark_frame == 0:
file, line, fun, what = tb[0]
return CallSite(function=fun, file=file, linenum=line)
sfile, sline, sfun, swhat = tb[first_spark_frame]
ufile, uline, ufun, uwhat = tb[first_spark_frame - 1]
return CallSite(function=sfun, file=ufile, linenum=uline)
|
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] |
Return a CallSite representing the first Spark call in the current call stack.
|
[
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/traceback_utils.py#L26-L46
|
train
|
Return a CallSite representing the first Spark call in the current call stack.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(0b110010) + '\063' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(387 - 334) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(2166 - 2055) + '\x33' + chr(0b110011 + 0o3) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\061' + '\061', 52615 - 52607), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100010 + 0o21) + '\064' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(676 - 625) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b10010 + 0o44) + '\064', 0b1000), ehT0Px3KOsy9(chr(1621 - 1573) + chr(0b1101111) + chr(456 - 402) + chr(0b100011 + 0o17), 54718 - 54710), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x30' + chr(0b11011 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(472 - 421) + chr(0b1110 + 0o45), 51580 - 51572), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(0b100100 + 0o20) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10010 + 0o41) + '\063' + chr(2201 - 2150), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x32' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b110100 + 0o73) + '\064' + '\x34', 48734 - 48726), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + '\063' + chr(1171 - 1119) + chr(54), 59519 - 59511), ehT0Px3KOsy9(chr(2091 - 2043) + chr(5667 - 5556) + chr(251 - 202) + chr(48) + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(1639 - 1591) + chr(0b1101111) + chr(2225 - 2175) + '\x31' + chr(0b1001 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(49) + chr(54) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + chr(0b11000 + 0o34) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1446 - 1398) + chr(0b1101111) + chr(50) + '\061' + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9(chr(1668 - 1620) + chr(111) + chr(0b111 + 0o53) + chr(48) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b11111 + 0o23) + '\060', 64378 - 64370), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(3532 - 3421) + chr(0b1101 + 0o52) + chr(2614 - 2561), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o15) + chr(0b11011 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b10000 + 0o137) + chr(0b110010) + '\x37' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(541 - 488) + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + '\x31' + chr(0b100010 + 0o20) + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(0b10110 + 0o40) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110110 + 0o0), 0b1000), ehT0Px3KOsy9(chr(477 - 429) + chr(0b1101111) + '\x33' + '\x35' + '\x35', 11675 - 11667), ehT0Px3KOsy9('\060' + chr(5998 - 5887) + chr(1628 - 1578) + chr(53) + chr(0b100001 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12176 - 12065) + '\x32' + chr(48) + chr(48), 3555 - 3547), ehT0Px3KOsy9('\x30' + chr(111) + chr(879 - 830) + '\x30' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(3847 - 3736) + chr(0b110011) + '\x30' + '\x35', 0o10), ehT0Px3KOsy9(chr(1428 - 1380) + chr(0b1101111) + chr(52) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1110 + 0o44) + chr(51), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1031 - 983) + '\157' + chr(53) + chr(708 - 660), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3'), '\x64' + chr(0b1100101) + chr(0b111 + 0o134) + chr(0b1101111) + chr(0b10000 + 0o124) + chr(0b1010001 + 0o24))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uu6HYaElYMVz():
xejvhPxyKaTo = CiXxQDnt84wa.extract_stack()
if c2A0yzQpDQB3(xejvhPxyKaTo) == ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b111 + 0o51), 0o10):
return None
(sHThYHEt4PLu, LycYkDpyelF6, RqocVGOryNPv, ihW8QQ0DISRJ) = xejvhPxyKaTo[c2A0yzQpDQB3(xejvhPxyKaTo) - ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11001 + 0o30), 0b1000)]
UIDebqKUHku0 = oqhJDdMJfuwx.path.dirname(sHThYHEt4PLu)
HKfcArW17F8h = c2A0yzQpDQB3(xejvhPxyKaTo) - ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(49), 8)
for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(1999 - 1951), 8), c2A0yzQpDQB3(xejvhPxyKaTo)):
(sHThYHEt4PLu, LycYkDpyelF6, IfAMpGguquJg, ihW8QQ0DISRJ) = xejvhPxyKaTo[WVxHKyX45z_L]
if xafqLlk3kkUe(sHThYHEt4PLu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x98\x94\xbb\x90l\x83[\xb3s'), chr(100) + '\x65' + chr(0b1100011) + chr(7845 - 7734) + '\144' + chr(2666 - 2565))(chr(0b10000 + 0o145) + chr(5563 - 5447) + '\146' + chr(818 - 773) + '\070'))(UIDebqKUHku0):
HKfcArW17F8h = WVxHKyX45z_L
break
if HKfcArW17F8h == ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11011 + 0o25), 8):
(sHThYHEt4PLu, LycYkDpyelF6, IfAMpGguquJg, ihW8QQ0DISRJ) = xejvhPxyKaTo[ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(896 - 848), 8)]
return j34wU3NcMFnc(function=IfAMpGguquJg, file=sHThYHEt4PLu, linenum=LycYkDpyelF6)
(qNggIOxdQYOs, bnEulrGa0xz3, bjpboH4IEZGu, NwJWk9SaWTMJ) = xejvhPxyKaTo[HKfcArW17F8h]
(XX94t97RiXYs, dsfUEnLnmssF, frtz48QrXF7U, I3LXdNHf1k4i) = xejvhPxyKaTo[HKfcArW17F8h - ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8)]
return j34wU3NcMFnc(function=bjpboH4IEZGu, file=XX94t97RiXYs, linenum=dsfUEnLnmssF)
|
apache/spark
|
examples/src/main/python/mllib/logistic_regression.py
|
parsePoint
|
def parsePoint(line):
"""
Parse a line of text into an MLlib LabeledPoint object.
"""
values = [float(s) for s in line.split(' ')]
if values[0] == -1: # Convert -1 labels to 0 for MLlib
values[0] = 0
return LabeledPoint(values[0], values[1:])
|
python
|
def parsePoint(line):
"""
Parse a line of text into an MLlib LabeledPoint object.
"""
values = [float(s) for s in line.split(' ')]
if values[0] == -1: # Convert -1 labels to 0 for MLlib
values[0] = 0
return LabeledPoint(values[0], values[1:])
|
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] |
Parse a line of text into an MLlib LabeledPoint object.
|
[
"Parse",
"a",
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"into",
"an",
"MLlib",
"LabeledPoint",
"object",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/examples/src/main/python/mllib/logistic_regression.py#L32-L39
|
train
|
Parse a line of text into an MLlib LabeledPoint object.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1466 - 1416) + chr(0b110000) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(2053 - 2005) + '\x6f' + chr(0b110010) + chr(0b110111) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(51) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11011 + 0o30) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x32' + chr(1398 - 1345), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(0b101110 + 0o4) + chr(1462 - 1413) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(618 - 563), 10889 - 10881), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b10001 + 0o43) + '\x35', 9434 - 9426), ehT0Px3KOsy9('\060' + chr(111) + chr(285 - 235) + chr(0b110011 + 0o1) + '\063', 1109 - 1101), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\065' + chr(1730 - 1678), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\064' + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + chr(4334 - 4223) + chr(1948 - 1898) + chr(0b1001 + 0o47) + chr(48), 31499 - 31491), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(0b101100 + 0o6) + '\067' + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110011) + chr(0b101011 + 0o12), 21392 - 21384), ehT0Px3KOsy9('\060' + chr(11754 - 11643) + chr(52) + '\x34', 0b1000), ehT0Px3KOsy9(chr(347 - 299) + '\x6f' + '\x31' + chr(55) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\060' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1 + 0o60) + chr(1567 - 1515) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(2260 - 2210) + '\065' + '\062', 62732 - 62724), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(392 - 343) + chr(0b110011) + '\065', 1446 - 1438), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\062' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110001) + chr(0b1111 + 0o50), 27617 - 27609), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + '\x32' + chr(0b110010) + chr(52), 54909 - 54901), ehT0Px3KOsy9(chr(2295 - 2247) + '\x6f' + chr(0b110001) + '\x37' + '\x35', 0o10), ehT0Px3KOsy9(chr(1844 - 1796) + chr(111) + chr(0b110011) + '\061' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(53) + chr(0b100001 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(49) + chr(0b101000 + 0o12) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b111 + 0o57), 8), ehT0Px3KOsy9(chr(48) + chr(11100 - 10989) + '\x33' + chr(500 - 452) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(0b10110 + 0o35) + chr(0b110101) + chr(390 - 336), 17805 - 17797), ehT0Px3KOsy9(chr(466 - 418) + '\157' + chr(49) + chr(0b100111 + 0o15) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1001111 + 0o40) + '\063' + chr(1908 - 1855) + chr(0b1110 + 0o42), 29374 - 29366), ehT0Px3KOsy9('\060' + chr(12058 - 11947) + chr(49) + chr(52) + chr(0b10 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + '\x33' + '\061' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(325 - 272), 11422 - 11414), ehT0Px3KOsy9('\x30' + chr(5660 - 5549) + chr(1946 - 1897) + chr(0b110000 + 0o3) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(52) + chr(0b110000), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b1010 + 0o53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xac'), chr(100) + chr(101) + chr(0b10001 + 0o122) + '\x6f' + chr(2486 - 2386) + chr(9726 - 9625))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b111 + 0o46) + chr(0b100010 + 0o26)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def P83wK0uGEcwd(LycYkDpyelF6):
SPnCNu54H1db = [kkSX4ccExqw4(vGrByMSYMp9h) for vGrByMSYMp9h in LycYkDpyelF6.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2'), '\144' + chr(0b1100101) + chr(99) + chr(111) + '\x64' + chr(8597 - 8496))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + '\070'))]
if SPnCNu54H1db[ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b110000), 8)] == -ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(49), 2520 - 2512):
SPnCNu54H1db[ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 8)] = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(351 - 303), 8)
return RUp2ZjhFXP1c(SPnCNu54H1db[ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + '\x30', 8)], SPnCNu54H1db[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8):])
|
apache/spark
|
python/pyspark/mllib/evaluation.py
|
MulticlassMetrics.fMeasure
|
def fMeasure(self, label, beta=None):
"""
Returns f-measure.
"""
if beta is None:
return self.call("fMeasure", label)
else:
return self.call("fMeasure", label, beta)
|
python
|
def fMeasure(self, label, beta=None):
"""
Returns f-measure.
"""
if beta is None:
return self.call("fMeasure", label)
else:
return self.call("fMeasure", label, beta)
|
[
"def",
"fMeasure",
"(",
"self",
",",
"label",
",",
"beta",
"=",
"None",
")",
":",
"if",
"beta",
"is",
"None",
":",
"return",
"self",
".",
"call",
"(",
"\"fMeasure\"",
",",
"label",
")",
"else",
":",
"return",
"self",
".",
"call",
"(",
"\"fMeasure\"",
",",
"label",
",",
"beta",
")"
] |
Returns f-measure.
|
[
"Returns",
"f",
"-",
"measure",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/mllib/evaluation.py#L297-L304
|
train
|
Returns f - measure.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b100110 + 0o111) + '\x32' + '\x30' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(6835 - 6724) + chr(453 - 402) + '\x32', 50248 - 50240), ehT0Px3KOsy9('\060' + chr(2824 - 2713) + '\062' + chr(48) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(9093 - 8982) + chr(217 - 162) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3306 - 3195) + '\061' + chr(48) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(6944 - 6833) + '\x32' + '\x35' + chr(0b110 + 0o56), 26171 - 26163), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b110001) + chr(1402 - 1354), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11405 - 11294) + '\061' + chr(0b11 + 0o61) + chr(0b1101 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\060' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(907 - 859) + chr(111) + chr(1637 - 1588) + '\x35' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + '\x32' + chr(1192 - 1144) + chr(1282 - 1233), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(737 - 688) + '\067', 63034 - 63026), ehT0Px3KOsy9('\060' + chr(2091 - 1980) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(8662 - 8551) + '\061' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\067' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9974 - 9863) + '\x37' + chr(48), 29514 - 29506), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\067' + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(595 - 543) + chr(251 - 199), 21425 - 21417), ehT0Px3KOsy9(chr(793 - 745) + chr(0b1101111) + '\063' + chr(0b110011) + '\x31', 55920 - 55912), ehT0Px3KOsy9(chr(1783 - 1735) + '\157' + chr(721 - 671) + chr(2376 - 2325), 0b1000), ehT0Px3KOsy9(chr(1193 - 1145) + chr(4954 - 4843) + '\x31' + '\x32' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b1 + 0o63) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1814 - 1764) + '\064' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55), 8), ehT0Px3KOsy9(chr(355 - 307) + '\x6f' + chr(50) + chr(2223 - 2173) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(859 - 808) + chr(1480 - 1431) + chr(2866 - 2812), 0b1000), ehT0Px3KOsy9(chr(283 - 235) + chr(0b11000 + 0o127) + chr(1469 - 1418) + chr(0b110101) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b11111 + 0o26) + chr(1133 - 1083), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4623 - 4512) + '\063' + chr(0b110001) + '\064', 60565 - 60557), ehT0Px3KOsy9('\x30' + chr(1832 - 1721) + '\061' + chr(0b110011), 40453 - 40445), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + '\x37' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110011) + chr(0b1111 + 0o43) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6462 - 6351) + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + '\x32' + chr(0b110000) + '\x32', 48870 - 48862), ehT0Px3KOsy9(chr(606 - 558) + chr(111) + '\065' + chr(0b110010 + 0o2), 50703 - 50695), ehT0Px3KOsy9(chr(2119 - 2071) + chr(0b1101110 + 0o1) + '\066' + chr(0b10011 + 0o35), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(2029 - 1981), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'J'), '\x64' + '\145' + chr(0b1011 + 0o130) + '\x6f' + chr(0b1100100) + chr(101))(chr(9494 - 9377) + chr(116) + chr(102) + chr(45) + chr(0b101 + 0o63)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uDpc67MYih9x(oVre8I6UXc3b, TRUOLFLuD08x, FjcovgoHM1LG=None):
if FjcovgoHM1LG is None:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xe0v\xe9'), chr(0b100010 + 0o102) + chr(0b1100101) + '\143' + chr(111) + chr(100) + chr(101))(chr(0b110001 + 0o104) + chr(116) + chr(102) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xcc\x7f\xe4Lr0\xc9'), '\x64' + '\145' + chr(99) + '\x6f' + '\x64' + '\x65')('\165' + chr(116) + chr(102) + chr(128 - 83) + '\070'), TRUOLFLuD08x)
else:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xe0v\xe9'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(4691 - 4575) + '\x66' + chr(0b101101) + chr(2385 - 2329)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xcc\x7f\xe4Lr0\xc9'), chr(0b111000 + 0o54) + chr(101) + chr(6337 - 6238) + '\x6f' + chr(0b1100100) + chr(0b111101 + 0o50))(chr(117) + '\164' + chr(102) + chr(337 - 292) + '\x38'), TRUOLFLuD08x, FjcovgoHM1LG)
|
apache/spark
|
python/pyspark/mllib/evaluation.py
|
MultilabelMetrics.precision
|
def precision(self, label=None):
"""
Returns precision or precision for a given label (category) if specified.
"""
if label is None:
return self.call("precision")
else:
return self.call("precision", float(label))
|
python
|
def precision(self, label=None):
"""
Returns precision or precision for a given label (category) if specified.
"""
if label is None:
return self.call("precision")
else:
return self.call("precision", float(label))
|
[
"def",
"precision",
"(",
"self",
",",
"label",
"=",
"None",
")",
":",
"if",
"label",
"is",
"None",
":",
"return",
"self",
".",
"call",
"(",
"\"precision\"",
")",
"else",
":",
"return",
"self",
".",
"call",
"(",
"\"precision\"",
",",
"float",
"(",
"label",
")",
")"
] |
Returns precision or precision for a given label (category) if specified.
|
[
"Returns",
"precision",
"or",
"precision",
"for",
"a",
"given",
"label",
"(",
"category",
")",
"if",
"specified",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/mllib/evaluation.py#L504-L511
|
train
|
Returns precision for a given label
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1505 - 1455) + '\x34' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5520 - 5409) + chr(0b110011) + chr(51) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b100001 + 0o23) + chr(0b100111 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(5212 - 5101) + chr(0b110010) + chr(53) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1064 - 1016) + '\157' + chr(0b0 + 0o63) + '\x33' + chr(487 - 439), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x35' + chr(2148 - 2099), 0b1000), ehT0Px3KOsy9(chr(1655 - 1607) + '\157' + chr(51) + '\x32' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1064 - 1015) + '\x37' + chr(0b10000 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\061' + '\x32' + chr(2212 - 2161), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1027 - 976) + chr(806 - 756) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1100 + 0o46) + '\064' + chr(0b110111), 27933 - 27925), ehT0Px3KOsy9(chr(1592 - 1544) + '\157' + '\063' + chr(704 - 650) + chr(0b1001 + 0o50), 48547 - 48539), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\x32' + '\x31' + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110000) + '\x35', 58828 - 58820), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(1600 - 1549) + chr(0b11 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1629 - 1579) + '\066' + chr(0b1001 + 0o50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(49) + chr(55), 599 - 591), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(2120 - 2069) + chr(0b11111 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(2260 - 2209) + chr(0b110010) + chr(0b100001 + 0o25), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\060' + chr(53), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x33' + '\064', 30146 - 30138), ehT0Px3KOsy9(chr(1453 - 1405) + '\157' + '\x36' + '\x37', 50167 - 50159), ehT0Px3KOsy9('\060' + chr(1400 - 1289) + chr(0b110010) + chr(0b110110) + chr(2878 - 2823), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110000) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(53) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11010 + 0o31) + chr(0b0 + 0o65) + chr(49), 9369 - 9361), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\x32' + chr(499 - 449) + chr(0b110101), 55637 - 55629), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(51) + chr(48) + chr(0b10 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(834 - 786) + chr(9937 - 9826) + chr(1398 - 1349) + chr(0b110001), 36634 - 36626), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + '\x31' + chr(661 - 607), 11604 - 11596), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11101 + 0o24) + chr(571 - 523) + chr(0b10 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(624 - 576) + chr(0b101100 + 0o103) + chr(0b110110), 41159 - 41151), ehT0Px3KOsy9(chr(1721 - 1673) + '\157' + chr(0b110011) + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(479 - 431) + chr(6834 - 6723) + chr(0b110001) + chr(0b101011 + 0o14) + chr(2282 - 2228), 1058 - 1050), ehT0Px3KOsy9(chr(1448 - 1400) + chr(3061 - 2950) + chr(0b10111 + 0o33) + '\x31' + chr(2575 - 2522), 8), ehT0Px3KOsy9(chr(0b110000) + chr(7016 - 6905) + chr(2427 - 2377) + chr(0b1 + 0o61) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110001) + chr(1625 - 1574), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x34' + chr(1928 - 1877), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b100010 + 0o21), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(678 - 625) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b'), '\x64' + chr(829 - 728) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b11011 + 0o132) + chr(5440 - 5324) + chr(6112 - 6010) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gX1fbCVtNNXn(oVre8I6UXc3b, TRUOLFLuD08x=None):
if TRUOLFLuD08x is None:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xbc\x8f\xc4'), chr(0b1010110 + 0o16) + chr(4112 - 4011) + chr(0b1011010 + 0o11) + chr(9502 - 9391) + '\144' + chr(3749 - 3648))('\x75' + chr(116) + '\x66' + chr(0b101100 + 0o1) + chr(1970 - 1914)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xaf\x86\xcbl\xab\xc0\xb9\x14'), chr(0b100 + 0o140) + '\145' + chr(99) + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(2016 - 1960)))
else:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xbc\x8f\xc4'), chr(8017 - 7917) + chr(0b100111 + 0o76) + '\x63' + chr(0b1101111) + chr(100) + chr(0b10101 + 0o120))(chr(0b1101010 + 0o13) + '\164' + '\x66' + chr(0b101101) + chr(2718 - 2662)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xaf\x86\xcbl\xab\xc0\xb9\x14'), '\x64' + chr(0b1100101) + chr(0b1010 + 0o131) + chr(111) + '\x64' + chr(9549 - 9448))(chr(0b111101 + 0o70) + chr(0b1000010 + 0o62) + '\x66' + chr(1379 - 1334) + chr(56)), kkSX4ccExqw4(TRUOLFLuD08x))
|
apache/spark
|
python/pyspark/mllib/evaluation.py
|
MultilabelMetrics.recall
|
def recall(self, label=None):
"""
Returns recall or recall for a given label (category) if specified.
"""
if label is None:
return self.call("recall")
else:
return self.call("recall", float(label))
|
python
|
def recall(self, label=None):
"""
Returns recall or recall for a given label (category) if specified.
"""
if label is None:
return self.call("recall")
else:
return self.call("recall", float(label))
|
[
"def",
"recall",
"(",
"self",
",",
"label",
"=",
"None",
")",
":",
"if",
"label",
"is",
"None",
":",
"return",
"self",
".",
"call",
"(",
"\"recall\"",
")",
"else",
":",
"return",
"self",
".",
"call",
"(",
"\"recall\"",
",",
"float",
"(",
"label",
")",
")"
] |
Returns recall or recall for a given label (category) if specified.
|
[
"Returns",
"recall",
"or",
"recall",
"for",
"a",
"given",
"label",
"(",
"category",
")",
"if",
"specified",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/mllib/evaluation.py#L514-L521
|
train
|
Returns the recall of a given label.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x33' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(0b101101 + 0o6) + chr(0b110 + 0o56) + '\x36', 0b1000), ehT0Px3KOsy9(chr(953 - 905) + chr(0b1000001 + 0o56) + '\x33' + chr(51) + chr(658 - 606), 50120 - 50112), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(1137 - 1086) + '\065' + chr(1502 - 1448), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2910 - 2799) + chr(512 - 463) + '\066' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(50) + '\066', 2768 - 2760), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(51) + chr(50) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\067' + chr(0b101 + 0o54), 17858 - 17850), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(4634 - 4523) + chr(329 - 278) + chr(1190 - 1139) + chr(901 - 848), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b100 + 0o56) + chr(0b101000 + 0o12) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(189 - 141) + chr(0b1011100 + 0o23) + '\062' + chr(0b11110 + 0o22) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10100 + 0o36) + '\x36' + chr(2808 - 2755), 56434 - 56426), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110011) + chr(0b0 + 0o64), 48614 - 48606), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101010 + 0o10) + chr(51) + chr(0b100101 + 0o14), 0o10), ehT0Px3KOsy9(chr(1135 - 1087) + chr(0b1101111) + '\062' + chr(0b110010) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + '\x36', 8807 - 8799), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b10110 + 0o37) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(801 - 753) + chr(448 - 337) + chr(784 - 733) + chr(49) + '\060', 24497 - 24489), ehT0Px3KOsy9(chr(1623 - 1575) + chr(0b1101111) + '\061' + chr(55) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110101) + chr(0b110101), 51487 - 51479), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(828 - 779) + chr(54) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x31', 56425 - 56417), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x33' + chr(415 - 365) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(1227 - 1173) + chr(0b101 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1222 - 1171) + '\x37' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1728 - 1678) + chr(0b110001) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(1913 - 1864) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b0 + 0o65) + chr(0b110000), 31536 - 31528), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(1411 - 1357) + chr(1606 - 1553), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11474 - 11363) + '\063' + '\x36' + chr(1707 - 1653), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110101) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b100100 + 0o16) + chr(0b11101 + 0o31), 0o10), ehT0Px3KOsy9(chr(48) + chr(7120 - 7009) + '\061' + chr(50) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1010100 + 0o33) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11110 + 0o25) + chr(0b110100) + chr(2964 - 2909), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1111 + 0o44) + chr(50) + '\x34', 13520 - 13512)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7'), '\x64' + chr(0b1100101) + '\143' + chr(111) + chr(1912 - 1812) + chr(0b1100101))(chr(0b101111 + 0o106) + chr(0b101100 + 0o110) + chr(0b1011010 + 0o14) + chr(1791 - 1746) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mmdmvtGtAwiM(oVre8I6UXc3b, TRUOLFLuD08x=None):
if TRUOLFLuD08x is None:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x87\xb0j'), chr(0b1 + 0o143) + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(7265 - 7164))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b110001 + 0o7)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x83\xbfg\x82\x1e'), chr(224 - 124) + '\145' + '\x63' + '\x6f' + chr(4642 - 4542) + chr(10140 - 10039))(chr(117) + '\164' + '\146' + chr(0b101101) + chr(56)))
else:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x87\xb0j'), '\x64' + chr(101) + chr(0b11110 + 0o105) + chr(0b101010 + 0o105) + chr(100) + '\145')('\x75' + '\164' + chr(102) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x83\xbfg\x82\x1e'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + '\x64' + '\145')(chr(4629 - 4512) + '\x74' + chr(102) + '\x2d' + chr(3065 - 3009)), kkSX4ccExqw4(TRUOLFLuD08x))
|
apache/spark
|
python/pyspark/mllib/evaluation.py
|
MultilabelMetrics.f1Measure
|
def f1Measure(self, label=None):
"""
Returns f1Measure or f1Measure for a given label (category) if specified.
"""
if label is None:
return self.call("f1Measure")
else:
return self.call("f1Measure", float(label))
|
python
|
def f1Measure(self, label=None):
"""
Returns f1Measure or f1Measure for a given label (category) if specified.
"""
if label is None:
return self.call("f1Measure")
else:
return self.call("f1Measure", float(label))
|
[
"def",
"f1Measure",
"(",
"self",
",",
"label",
"=",
"None",
")",
":",
"if",
"label",
"is",
"None",
":",
"return",
"self",
".",
"call",
"(",
"\"f1Measure\"",
")",
"else",
":",
"return",
"self",
".",
"call",
"(",
"\"f1Measure\"",
",",
"float",
"(",
"label",
")",
")"
] |
Returns f1Measure or f1Measure for a given label (category) if specified.
|
[
"Returns",
"f1Measure",
"or",
"f1Measure",
"for",
"a",
"given",
"label",
"(",
"category",
")",
"if",
"specified",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/mllib/evaluation.py#L524-L531
|
train
|
Returns the f1Measure of the current user.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(694 - 583) + chr(0b11111 + 0o24) + chr(0b110100) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11192 - 11081) + '\062' + chr(0b110100) + chr(0b110010), 36459 - 36451), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1011101 + 0o22) + '\x36' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9('\060' + chr(12148 - 12037) + chr(0b100100 + 0o16) + '\067' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1813 - 1764) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(728 - 676) + chr(0b100 + 0o63), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o17) + chr(53) + chr(2297 - 2248), 1706 - 1698), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1000010 + 0o55) + chr(0b100100 + 0o23) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1039 - 991) + chr(0b110011 + 0o74) + '\066' + chr(48), 8), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b110001) + '\x36' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(11636 - 11525) + chr(1564 - 1509) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\x31' + '\x34' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b101011 + 0o6) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7285 - 7174) + chr(0b1111 + 0o47) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110001) + chr(53) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6459 - 6348) + chr(0b1000 + 0o53) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x37' + chr(48), 0o10), ehT0Px3KOsy9(chr(1010 - 962) + chr(0b1101111) + '\x32' + '\060' + chr(2594 - 2543), 59529 - 59521), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o51) + chr(1462 - 1413) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1021 - 910) + chr(49) + chr(0b11110 + 0o25) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x34' + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(53) + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2885 - 2774) + '\x33' + chr(1868 - 1819) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(739 - 691) + chr(111) + '\x35' + chr(0b1010 + 0o46), 64059 - 64051), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(154 - 105) + chr(51) + chr(0b110011), 62714 - 62706), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + '\062' + chr(0b110010) + chr(0b11010 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(2178 - 2067) + '\061' + chr(0b110110) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + '\063' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(10898 - 10787) + chr(51) + '\x31' + '\x33', 8), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + '\063' + chr(519 - 464) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\x30' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(847 - 799) + '\x6f' + chr(0b1100 + 0o47) + chr(0b11000 + 0o36) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(54) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(50) + chr(50) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(8347 - 8236) + '\061' + chr(52) + '\x37', 35463 - 35455), ehT0Px3KOsy9(chr(50 - 2) + chr(0b101111 + 0o100) + chr(0b100100 + 0o16) + chr(1276 - 1224) + chr(1370 - 1315), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1000101 + 0o52) + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100011 + 0o16) + '\064' + chr(0b110100), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b11001 + 0o31), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(1613 - 1502) + chr(0b110101) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb'), '\x64' + '\145' + '\143' + chr(111) + '\x64' + chr(0b1001100 + 0o31))('\165' + chr(0b1110100) + '\146' + chr(1873 - 1828) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RE1Y8KyBhZ5E(oVre8I6UXc3b, TRUOLFLuD08x=None):
if TRUOLFLuD08x is None:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xc3\\r'), chr(1501 - 1401) + chr(611 - 510) + chr(0b110100 + 0o57) + chr(9839 - 9728) + '\x64' + chr(101))('\x75' + chr(0b1110100) + chr(0b10111 + 0o117) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x93}{\xd9y\xd2\x9bZ'), '\x64' + chr(4303 - 4202) + chr(0b101000 + 0o73) + chr(0b1000001 + 0o56) + '\x64' + '\145')(chr(132 - 15) + '\164' + chr(0b0 + 0o146) + chr(0b101101) + '\x38'))
else:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xc3\\r'), chr(8646 - 8546) + '\145' + '\143' + chr(1870 - 1759) + chr(100) + chr(0b1001111 + 0o26))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x93}{\xd9y\xd2\x9bZ'), chr(0b1100100) + '\145' + chr(0b111011 + 0o50) + chr(0b1101111) + chr(100) + '\x65')('\165' + chr(116) + chr(102) + chr(0b101011 + 0o2) + chr(2610 - 2554)), kkSX4ccExqw4(TRUOLFLuD08x))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
_to_corrected_pandas_type
|
def _to_corrected_pandas_type(dt):
"""
When converting Spark SQL records to Pandas DataFrame, the inferred data type may be wrong.
This method gets the corrected data type for Pandas if that type may be inferred uncorrectly.
"""
import numpy as np
if type(dt) == ByteType:
return np.int8
elif type(dt) == ShortType:
return np.int16
elif type(dt) == IntegerType:
return np.int32
elif type(dt) == FloatType:
return np.float32
else:
return None
|
python
|
def _to_corrected_pandas_type(dt):
"""
When converting Spark SQL records to Pandas DataFrame, the inferred data type may be wrong.
This method gets the corrected data type for Pandas if that type may be inferred uncorrectly.
"""
import numpy as np
if type(dt) == ByteType:
return np.int8
elif type(dt) == ShortType:
return np.int16
elif type(dt) == IntegerType:
return np.int32
elif type(dt) == FloatType:
return np.float32
else:
return None
|
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] |
When converting Spark SQL records to Pandas DataFrame, the inferred data type may be wrong.
This method gets the corrected data type for Pandas if that type may be inferred uncorrectly.
|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L2239-L2254
|
train
|
This method converts Spark SQL records to Pandas DataFrame
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(1999 - 1950) + chr(54) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(51) + '\x35' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(0b110011) + chr(51) + chr(0b11110 + 0o24), 12440 - 12432), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(1214 - 1165) + chr(0b110001) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b1011 + 0o46) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1370 - 1319) + '\062' + chr(1822 - 1769), 16878 - 16870), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11101 + 0o26) + '\063' + chr(0b1000 + 0o51), 52189 - 52181), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + '\x37', 52555 - 52547), ehT0Px3KOsy9(chr(1709 - 1661) + chr(3589 - 3478) + '\061' + chr(0b10010 + 0o37) + chr(1192 - 1144), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110001) + chr(52) + chr(0b10110 + 0o37), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(86 - 37) + '\x32', 46467 - 46459), ehT0Px3KOsy9(chr(48) + chr(6598 - 6487) + '\x36' + '\x35', 56778 - 56770), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(49) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b10 + 0o65) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(7743 - 7632) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000 + 0o3) + '\x37' + chr(1474 - 1426), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\067' + chr(0b10110 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\x32' + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(50) + chr(0b110110) + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(684 - 633) + chr(0b1 + 0o65), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001 + 0o5) + chr(0b101101 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\061' + chr(2619 - 2564) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\062' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(722 - 673) + chr(0b110000) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + '\061' + chr(50) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6407 - 6296) + chr(50) + '\061' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + chr(774 - 723) + chr(0b110011) + chr(54), 64813 - 64805), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b1001 + 0o52) + '\x32' + '\x30', 50324 - 50316), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b100010 + 0o21) + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9('\x30' + chr(7182 - 7071) + '\061' + chr(55) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\065' + chr(0b10100 + 0o41), 3338 - 3330), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1001101 + 0o42) + chr(50) + chr(725 - 677) + chr(51), 29315 - 29307), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + '\061' + chr(0b100001 + 0o23) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(49) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(826 - 777) + chr(0b1 + 0o62) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(53) + chr(49), 53045 - 53037), ehT0Px3KOsy9(chr(138 - 90) + chr(0b1101111) + '\067', 8), ehT0Px3KOsy9(chr(1892 - 1844) + chr(0b1101111) + chr(0b110001) + '\x32' + '\065', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2191 - 2143) + chr(2359 - 2248) + '\065' + chr(0b10110 + 0o32), 7955 - 7947)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(6491 - 6391) + '\145')(chr(0b10001 + 0o144) + chr(116) + '\x66' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bas7cHOPIjhb(OmU3Un949MWT):
(WqUC3KWvYVup,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\x9d\xb7:6'), chr(1715 - 1615) + chr(0b111000 + 0o55) + chr(0b1100011) + '\157' + chr(2651 - 2551) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + '\x38')),)
if PlSM16l2KDPD(OmU3Un949MWT, OC2g9TP1sDUm):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x86\xaer'), '\x64' + chr(0b1000101 + 0o40) + '\143' + '\157' + '\144' + chr(101))('\x75' + '\164' + chr(0b1100110) + chr(553 - 508) + chr(0b111000)))
elif PlSM16l2KDPD(OmU3Un949MWT, Ae2ns1GhLMfX):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x86\xae{y'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(100) + '\x65')(chr(3670 - 3553) + chr(0b1110100) + '\146' + chr(0b100101 + 0o10) + '\x38'))
elif PlSM16l2KDPD(OmU3Un949MWT, FvzxkwbAT1Hk):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x86\xaey}'), '\144' + chr(101) + '\143' + chr(0b1000010 + 0o55) + chr(0b11100 + 0o110) + chr(4656 - 4555))(chr(0b1 + 0o164) + '\164' + chr(102) + chr(45) + chr(0b111000)))
elif PlSM16l2KDPD(OmU3Un949MWT, Idf8prFjOzRH):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\x84\xb5+;\xe6\xeb'), '\x64' + chr(0b101000 + 0o75) + chr(99) + chr(5173 - 5062) + '\x64' + chr(101))('\165' + chr(116) + '\x66' + chr(0b1110 + 0o37) + chr(2057 - 2001)))
else:
return None
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.rdd
|
def rdd(self):
"""Returns the content as an :class:`pyspark.RDD` of :class:`Row`.
"""
if self._lazy_rdd is None:
jrdd = self._jdf.javaToPython()
self._lazy_rdd = RDD(jrdd, self.sql_ctx._sc, BatchedSerializer(PickleSerializer()))
return self._lazy_rdd
|
python
|
def rdd(self):
"""Returns the content as an :class:`pyspark.RDD` of :class:`Row`.
"""
if self._lazy_rdd is None:
jrdd = self._jdf.javaToPython()
self._lazy_rdd = RDD(jrdd, self.sql_ctx._sc, BatchedSerializer(PickleSerializer()))
return self._lazy_rdd
|
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"(",
")",
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".",
"_lazy_rdd",
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",",
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"sql_ctx",
".",
"_sc",
",",
"BatchedSerializer",
"(",
"PickleSerializer",
"(",
")",
")",
")",
"return",
"self",
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"_lazy_rdd"
] |
Returns the content as an :class:`pyspark.RDD` of :class:`Row`.
|
[
"Returns",
"the",
"content",
"as",
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":",
"class",
":",
"pyspark",
".",
"RDD",
"of",
":",
"class",
":",
"Row",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L87-L93
|
train
|
Returns the content as an RDD of Row.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11000 + 0o32) + chr(0b101000 + 0o10) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1818 - 1770) + chr(111) + chr(0b110010) + '\063' + chr(0b110 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2662 - 2551) + chr(396 - 346) + chr(0b11 + 0o55) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\060' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\064' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(915 - 867) + chr(0b1101000 + 0o7) + '\062' + chr(0b10111 + 0o31) + chr(48), 8), ehT0Px3KOsy9(chr(1359 - 1311) + chr(0b1101111) + chr(0b110111) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(6970 - 6859) + chr(0b110110) + chr(54), 0o10), ehT0Px3KOsy9(chr(1016 - 968) + '\157' + '\x33' + '\061' + chr(126 - 71), 0o10), ehT0Px3KOsy9('\x30' + chr(10474 - 10363) + chr(1347 - 1294) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(1586 - 1537) + chr(51) + chr(0b101100 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2653 - 2598) + '\067', 0o10), ehT0Px3KOsy9(chr(650 - 602) + '\157' + chr(2547 - 2496) + '\060' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x37' + chr(0b110000 + 0o4), 10988 - 10980), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\064' + chr(2738 - 2683), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x31' + chr(0b101001 + 0o15), 55245 - 55237), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(936 - 881) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b11100 + 0o30) + '\x32', 48200 - 48192), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(491 - 440) + chr(51) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(1751 - 1702) + chr(0b11011 + 0o33), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o3) + '\060' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + chr(0b110001) + chr(48) + chr(0b10100 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\066', 24616 - 24608), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(0b110001) + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x32' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(483 - 435) + chr(0b1101111) + chr(2121 - 2072) + chr(2684 - 2630) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(48) + chr(51), 3028 - 3020), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(50), 50384 - 50376), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110000) + chr(54), 5876 - 5868), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(54) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\062' + chr(514 - 464), 0o10), ehT0Px3KOsy9(chr(48) + chr(9800 - 9689) + chr(323 - 273) + chr(0b101101 + 0o3) + chr(2057 - 2002), 8), ehT0Px3KOsy9(chr(1572 - 1524) + '\x6f' + chr(351 - 302) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o26) + chr(99 - 46) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1627 - 1579) + chr(0b1101111) + '\x32' + '\x36' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(5165 - 5054) + '\x31' + chr(0b110111) + chr(0b11 + 0o57), 0o10), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(0b11100 + 0o26) + '\064' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1031 - 983) + '\x6f' + chr(1805 - 1750) + chr(51), 0o10), ehT0Px3KOsy9(chr(1873 - 1825) + '\x6f' + chr(1641 - 1590) + chr(0b110101), 65082 - 65074)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1216 - 1168) + '\157' + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(0b1100100) + chr(0b110000 + 0o65) + chr(99) + chr(0b1000111 + 0o50) + '\x64' + '\x65')(chr(117) + '\x74' + chr(0b1100110) + chr(474 - 429) + chr(249 - 193)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VwDkkS2adETP(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xf0\xe6\xfa\x1f\xf6\xf2ZR'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100000 + 0o4) + chr(101))(chr(117) + chr(116) + '\146' + chr(295 - 250) + chr(0b11011 + 0o35))) is None:
xKiBNa72Xueb = oVre8I6UXc3b._jdf.javaToPython()
oVre8I6UXc3b.TPhp8adah9CW = uXEA_h84GXBu(xKiBNa72Xueb, oVre8I6UXc3b.sql_ctx._sc, iTzlNnr82sU4(mOZhmRNFiAVs()))
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xcc\xef\xf0^\xc8\xe4_^\xf6n\t'), '\x64' + chr(0b1100101) + chr(8312 - 8213) + chr(4708 - 4597) + chr(0b1100100) + chr(7214 - 7113))(chr(9386 - 9269) + chr(116) + '\146' + '\055' + chr(56)))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.toJSON
|
def toJSON(self, use_unicode=True):
"""Converts a :class:`DataFrame` into a :class:`RDD` of string.
Each row is turned into a JSON document as one element in the returned RDD.
>>> df.toJSON().first()
u'{"age":2,"name":"Alice"}'
"""
rdd = self._jdf.toJSON()
return RDD(rdd.toJavaRDD(), self._sc, UTF8Deserializer(use_unicode))
|
python
|
def toJSON(self, use_unicode=True):
"""Converts a :class:`DataFrame` into a :class:`RDD` of string.
Each row is turned into a JSON document as one element in the returned RDD.
>>> df.toJSON().first()
u'{"age":2,"name":"Alice"}'
"""
rdd = self._jdf.toJSON()
return RDD(rdd.toJavaRDD(), self._sc, UTF8Deserializer(use_unicode))
|
[
"def",
"toJSON",
"(",
"self",
",",
"use_unicode",
"=",
"True",
")",
":",
"rdd",
"=",
"self",
".",
"_jdf",
".",
"toJSON",
"(",
")",
"return",
"RDD",
"(",
"rdd",
".",
"toJavaRDD",
"(",
")",
",",
"self",
".",
"_sc",
",",
"UTF8Deserializer",
"(",
"use_unicode",
")",
")"
] |
Converts a :class:`DataFrame` into a :class:`RDD` of string.
Each row is turned into a JSON document as one element in the returned RDD.
>>> df.toJSON().first()
u'{"age":2,"name":"Alice"}'
|
[
"Converts",
"a",
":",
"class",
":",
"DataFrame",
"into",
"a",
":",
"class",
":",
"RDD",
"of",
"string",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L111-L120
|
train
|
Converts a DataFrame into a : class : RDD of string.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x30' + chr(0b100 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b1100 + 0o50) + chr(636 - 586), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(11158 - 11047) + '\061' + chr(0b110111) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(54) + chr(2394 - 2343), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11 + 0o57) + '\x36' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100000 + 0o21) + chr(0b110110) + '\x35', 0o10), ehT0Px3KOsy9(chr(704 - 656) + chr(272 - 161) + chr(968 - 919) + chr(0b110000 + 0o2) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1885 - 1834) + chr(0b110010) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(11847 - 11736) + chr(0b110010) + '\061' + '\x34', 35004 - 34996), ehT0Px3KOsy9(chr(848 - 800) + chr(111) + '\x34' + chr(51), 33857 - 33849), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x33' + '\x34', 828 - 820), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1699 - 1648) + chr(193 - 138), 37856 - 37848), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11010 + 0o31) + '\061' + '\x36', 0o10), ehT0Px3KOsy9(chr(561 - 513) + '\x6f' + '\x32' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2160 - 2112) + '\x6f' + chr(49) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x32' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\x31' + chr(0b101101 + 0o7) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1871 - 1821) + chr(2206 - 2151) + chr(0b101011 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(758 - 709) + chr(0b101001 + 0o10) + chr(843 - 789), 60343 - 60335), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110000), 42286 - 42278), ehT0Px3KOsy9(chr(1176 - 1128) + '\157' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\060' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6838 - 6727) + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8251 - 8140) + chr(0b10001 + 0o42) + chr(0b110111) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7170 - 7059) + chr(0b10101 + 0o37) + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b1 + 0o66), 53491 - 53483), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b1101 + 0o46) + chr(0b110010), 51749 - 51741), ehT0Px3KOsy9(chr(2276 - 2228) + '\157' + chr(0b110011) + '\065' + chr(977 - 926), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b10010 + 0o41) + chr(1632 - 1577) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 60448 - 60440), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110010) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(525 - 477) + chr(7079 - 6968) + chr(50) + '\x37', 2950 - 2942), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(771 - 721) + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(48) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9126 - 9015) + '\062' + chr(0b11010 + 0o32) + chr(0b101100 + 0o4), 6445 - 6437), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\063' + '\060' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b10111 + 0o32) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x30' + chr(0b110000), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), chr(100) + chr(101) + chr(99) + chr(111) + chr(7685 - 7585) + chr(0b1100101))(chr(0b1110100 + 0o1) + chr(2344 - 2228) + '\146' + chr(0b101101) + chr(772 - 716)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def g0HVRuIxs6zN(oVre8I6UXc3b, rCoEOPG12x9_=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8)):
VwDkkS2adETP = oVre8I6UXc3b._jdf.toJSON()
return uXEA_h84GXBu(xafqLlk3kkUe(VwDkkS2adETP, xafqLlk3kkUe(SXOLrMavuUCe(b'5\xcd7R\xc1\x14\x02\xfb\x96'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(45) + chr(0b111000)))(), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xd1\x1e'), chr(0b1100100) + '\145' + chr(4042 - 3943) + '\x6f' + chr(100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(1215 - 1170) + chr(0b111000))), lbz9jQ3_jhB4(rCoEOPG12x9_))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.schema
|
def schema(self):
"""Returns the schema of this :class:`DataFrame` as a :class:`pyspark.sql.types.StructType`.
>>> df.schema
StructType(List(StructField(age,IntegerType,true),StructField(name,StringType,true)))
"""
if self._schema is None:
try:
self._schema = _parse_datatype_json_string(self._jdf.schema().json())
except AttributeError as e:
raise Exception(
"Unable to parse datatype from schema. %s" % e)
return self._schema
|
python
|
def schema(self):
"""Returns the schema of this :class:`DataFrame` as a :class:`pyspark.sql.types.StructType`.
>>> df.schema
StructType(List(StructField(age,IntegerType,true),StructField(name,StringType,true)))
"""
if self._schema is None:
try:
self._schema = _parse_datatype_json_string(self._jdf.schema().json())
except AttributeError as e:
raise Exception(
"Unable to parse datatype from schema. %s" % e)
return self._schema
|
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"_schema"
] |
Returns the schema of this :class:`DataFrame` as a :class:`pyspark.sql.types.StructType`.
>>> df.schema
StructType(List(StructField(age,IntegerType,true),StructField(name,StringType,true)))
|
[
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L226-L238
|
train
|
Returns the schema of this DataFrame as a StructType.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(1826 - 1715) + '\x33' + '\064' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\061' + chr(0b110001), 6864 - 6856), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x31' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(50) + '\x35' + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x34' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110010) + chr(0b11110 + 0o30) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(2506 - 2455) + chr(52), 1511 - 1503), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b110010) + '\x34' + chr(1630 - 1580), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + '\x31' + '\066' + chr(0b110110 + 0o1), 27798 - 27790), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b10001 + 0o37) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(11039 - 10928) + chr(49) + '\066' + chr(1749 - 1696), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100101 + 0o15) + chr(0b11001 + 0o34) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(580 - 526) + '\x33', 45616 - 45608), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(2015 - 1966) + '\x30' + chr(0b1011 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b101001 + 0o7) + chr(0b100001 + 0o21), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x35' + chr(0b11110 + 0o22), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\062' + chr(54), 61077 - 61069), ehT0Px3KOsy9(chr(48) + chr(1937 - 1826) + chr(0b110100) + chr(0b1001 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(1917 - 1869) + '\x6f' + chr(50) + chr(0b110100) + chr(52), 0b1000), ehT0Px3KOsy9(chr(2191 - 2143) + chr(2679 - 2568) + chr(583 - 533) + '\066' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b10101 + 0o33) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(2467 - 2415) + chr(1301 - 1248), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(1713 - 1602) + '\x36' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1710 - 1662) + chr(0b1101111 + 0o0) + chr(0b110001) + chr(51), 63510 - 63502), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + '\062' + chr(2449 - 2397) + chr(0b10010 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6144 - 6033) + '\062' + chr(0b110101) + '\x31', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10111 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6190 - 6079) + chr(51) + '\061', 64619 - 64611), ehT0Px3KOsy9('\x30' + chr(111) + chr(446 - 397) + chr(0b100100 + 0o14) + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101100 + 0o6) + '\x35' + chr(0b10011 + 0o37), 63418 - 63410), ehT0Px3KOsy9(chr(1485 - 1437) + chr(111) + '\062' + chr(0b110011) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(183 - 72) + chr(49) + chr(55) + chr(1759 - 1711), ord("\x08")), ehT0Px3KOsy9(chr(2205 - 2157) + chr(111) + '\x31' + '\066' + chr(1399 - 1348), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2355 - 2306) + '\x30' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x37' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(702 - 654) + chr(0b100000 + 0o117) + chr(0b110001 + 0o1), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\060' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1100001 + 0o16) + chr(51) + '\x31' + '\061', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o51) + chr(48), 57476 - 57468)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xca'), '\144' + '\x65' + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(1727 - 1625) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def P7DmIFVRivx6(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb:\xa8\xc0\x05\xda\xfd'), chr(0b1100100) + '\x65' + '\x63' + chr(0b100101 + 0o112) + '\144' + chr(2986 - 2885))('\x75' + chr(3318 - 3202) + chr(394 - 292) + '\x2d' + '\070')) is None:
try:
oVre8I6UXc3b.Fh7SYy6qEeol = bNoaKyyDQk0A(oVre8I6UXc3b._jdf.schema().json())
except sHOWSIAKtU58 as GlnVAPeT6CUe:
raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\'\xaa\xca\x0c\xd2\xbc\xd6fW5\x14\xdb@~c&\xc9"A\xd0\xca\xf5\x80\x15m\xd7\xc6j91\xc9\xf1\x1d\x1e&\xd3"\xa2\xba'), chr(0b11011 + 0o111) + chr(661 - 560) + chr(0b1001111 + 0o24) + '\x6f' + '\144' + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b1000 + 0o45) + chr(0b111000)) % GlnVAPeT6CUe)
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2!\xfc\xfb9\xce\xaa\xd3L\x12*\x19'), chr(100) + chr(0b1100101) + chr(5107 - 5008) + chr(0b101001 + 0o106) + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(102) + '\x2d' + '\x38'))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.explain
|
def explain(self, extended=False):
"""Prints the (logical and physical) plans to the console for debugging purpose.
:param extended: boolean, default ``False``. If ``False``, prints only the physical plan.
>>> df.explain()
== Physical Plan ==
*(1) Scan ExistingRDD[age#0,name#1]
>>> df.explain(True)
== Parsed Logical Plan ==
...
== Analyzed Logical Plan ==
...
== Optimized Logical Plan ==
...
== Physical Plan ==
...
"""
if extended:
print(self._jdf.queryExecution().toString())
else:
print(self._jdf.queryExecution().simpleString())
|
python
|
def explain(self, extended=False):
"""Prints the (logical and physical) plans to the console for debugging purpose.
:param extended: boolean, default ``False``. If ``False``, prints only the physical plan.
>>> df.explain()
== Physical Plan ==
*(1) Scan ExistingRDD[age#0,name#1]
>>> df.explain(True)
== Parsed Logical Plan ==
...
== Analyzed Logical Plan ==
...
== Optimized Logical Plan ==
...
== Physical Plan ==
...
"""
if extended:
print(self._jdf.queryExecution().toString())
else:
print(self._jdf.queryExecution().simpleString())
|
[
"def",
"explain",
"(",
"self",
",",
"extended",
"=",
"False",
")",
":",
"if",
"extended",
":",
"print",
"(",
"self",
".",
"_jdf",
".",
"queryExecution",
"(",
")",
".",
"toString",
"(",
")",
")",
"else",
":",
"print",
"(",
"self",
".",
"_jdf",
".",
"queryExecution",
"(",
")",
".",
"simpleString",
"(",
")",
")"
] |
Prints the (logical and physical) plans to the console for debugging purpose.
:param extended: boolean, default ``False``. If ``False``, prints only the physical plan.
>>> df.explain()
== Physical Plan ==
*(1) Scan ExistingRDD[age#0,name#1]
>>> df.explain(True)
== Parsed Logical Plan ==
...
== Analyzed Logical Plan ==
...
== Optimized Logical Plan ==
...
== Physical Plan ==
...
|
[
"Prints",
"the",
"(",
"logical",
"and",
"physical",
")",
"plans",
"to",
"the",
"console",
"for",
"debugging",
"purpose",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L253-L275
|
train
|
Prints the logical and physical plan for debugging purpose.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(55) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(829 - 781) + chr(111) + chr(0b110010) + chr(468 - 413), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(2107 - 2054), 42952 - 42944), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b110001) + chr(476 - 428) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + '\x31' + chr(0b110000) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b111 + 0o52) + chr(0b101000 + 0o17) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b101100 + 0o11) + '\065', 31799 - 31791), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(0b110001) + chr(429 - 376) + chr(2071 - 2018), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2123 - 2072) + '\x34' + chr(2431 - 2376), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1104 - 1053) + chr(1461 - 1413), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1045 - 997) + chr(0b1101111) + chr(51) + chr(0b110000) + '\063', 62575 - 62567), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x36' + chr(51), 39029 - 39021), ehT0Px3KOsy9(chr(2003 - 1955) + '\x6f' + '\x31' + chr(0b110001) + chr(2648 - 2595), 0b1000), ehT0Px3KOsy9(chr(2212 - 2164) + chr(0b11 + 0o154) + chr(0b10101 + 0o40) + '\065', 0o10), ehT0Px3KOsy9(chr(2088 - 2040) + chr(245 - 134) + '\x32' + chr(51) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\x31' + '\x36' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(51) + chr(0b110110) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(50) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(272 - 224) + '\x6f' + chr(0b110011) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(1074 - 1024) + chr(1204 - 1151), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b101000 + 0o12) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1582 - 1532) + chr(0b11011 + 0o32) + chr(786 - 733), 0b1000), ehT0Px3KOsy9(chr(150 - 102) + chr(111) + '\x31' + '\060' + chr(53), 48298 - 48290), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(366 - 318) + '\x6f' + chr(50) + chr(51) + '\x34', 8), ehT0Px3KOsy9(chr(2297 - 2249) + chr(111) + '\x31' + chr(0b110010) + '\x31', 44625 - 44617), ehT0Px3KOsy9(chr(1826 - 1778) + chr(11052 - 10941) + '\x33' + chr(0b110110 + 0o0) + chr(1949 - 1894), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + chr(55) + chr(0b101011 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1100101 + 0o12) + '\x32' + chr(925 - 873) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(1420 - 1365) + '\061', 10073 - 10065), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2706 - 2652) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2439 - 2328) + '\063' + chr(0b110110) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1026 - 978) + '\x6f' + chr(1591 - 1536) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b110101) + chr(54), 55918 - 55910), ehT0Px3KOsy9(chr(706 - 658) + chr(0b1101111) + chr(1570 - 1521) + chr(778 - 726) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b11 + 0o154) + chr(0b110001) + chr(0b101 + 0o56) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b100011 + 0o22) + chr(0b1 + 0o60), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b11100 + 0o123) + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'U'), chr(0b1100100) + chr(0b1100101) + chr(3454 - 3355) + chr(0b110010 + 0o75) + chr(0b1001101 + 0o27) + '\x65')(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DqhVJHJckXOV(oVre8I6UXc3b, EOCLqIPYNkIZ=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 0o10)):
if EOCLqIPYNkIZ:
zLUzGokYBM2Z(xafqLlk3kkUe(oVre8I6UXc3b._jdf.queryExecution(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x0fxF26\x17\x83\n'), '\x64' + chr(0b1100101) + chr(6783 - 6684) + chr(0b110101 + 0o72) + chr(0b1100100) + chr(957 - 856))('\165' + chr(0b1110100) + '\146' + chr(930 - 885) + chr(56)))())
else:
zLUzGokYBM2Z(xafqLlk3kkUe(oVre8I6UXc3b._jdf.queryExecution(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x08~x6(\x1b\xbe\x19\x95qA\xa4'), chr(0b1111 + 0o125) + chr(557 - 456) + '\x63' + '\157' + '\x64' + chr(101))(chr(8153 - 8036) + chr(0b1110100) + chr(881 - 779) + chr(1185 - 1140) + chr(0b110 + 0o62)))())
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.exceptAll
|
def exceptAll(self, other):
"""Return a new :class:`DataFrame` containing rows in this :class:`DataFrame` but
not in another :class:`DataFrame` while preserving duplicates.
This is equivalent to `EXCEPT ALL` in SQL.
>>> df1 = spark.createDataFrame(
... [("a", 1), ("a", 1), ("a", 1), ("a", 2), ("b", 3), ("c", 4)], ["C1", "C2"])
>>> df2 = spark.createDataFrame([("a", 1), ("b", 3)], ["C1", "C2"])
>>> df1.exceptAll(df2).show()
+---+---+
| C1| C2|
+---+---+
| a| 1|
| a| 1|
| a| 2|
| c| 4|
+---+---+
Also as standard in SQL, this function resolves columns by position (not by name).
"""
return DataFrame(self._jdf.exceptAll(other._jdf), self.sql_ctx)
|
python
|
def exceptAll(self, other):
"""Return a new :class:`DataFrame` containing rows in this :class:`DataFrame` but
not in another :class:`DataFrame` while preserving duplicates.
This is equivalent to `EXCEPT ALL` in SQL.
>>> df1 = spark.createDataFrame(
... [("a", 1), ("a", 1), ("a", 1), ("a", 2), ("b", 3), ("c", 4)], ["C1", "C2"])
>>> df2 = spark.createDataFrame([("a", 1), ("b", 3)], ["C1", "C2"])
>>> df1.exceptAll(df2).show()
+---+---+
| C1| C2|
+---+---+
| a| 1|
| a| 1|
| a| 2|
| c| 4|
+---+---+
Also as standard in SQL, this function resolves columns by position (not by name).
"""
return DataFrame(self._jdf.exceptAll(other._jdf), self.sql_ctx)
|
[
"def",
"exceptAll",
"(",
"self",
",",
"other",
")",
":",
"return",
"DataFrame",
"(",
"self",
".",
"_jdf",
".",
"exceptAll",
"(",
"other",
".",
"_jdf",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Return a new :class:`DataFrame` containing rows in this :class:`DataFrame` but
not in another :class:`DataFrame` while preserving duplicates.
This is equivalent to `EXCEPT ALL` in SQL.
>>> df1 = spark.createDataFrame(
... [("a", 1), ("a", 1), ("a", 1), ("a", 2), ("b", 3), ("c", 4)], ["C1", "C2"])
>>> df2 = spark.createDataFrame([("a", 1), ("b", 3)], ["C1", "C2"])
>>> df1.exceptAll(df2).show()
+---+---+
| C1| C2|
+---+---+
| a| 1|
| a| 1|
| a| 2|
| c| 4|
+---+---+
Also as standard in SQL, this function resolves columns by position (not by name).
|
[
"Return",
"a",
"new",
":",
"class",
":",
"DataFrame",
"containing",
"rows",
"in",
"this",
":",
"class",
":",
"DataFrame",
"but",
"not",
"in",
"another",
":",
"class",
":",
"DataFrame",
"while",
"preserving",
"duplicates",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L278-L300
|
train
|
Return a new DataFrame containing rows in this DataFrame but
not in another.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(1447 - 1394) + chr(0b10000 + 0o40), 0o10), ehT0Px3KOsy9(chr(745 - 697) + '\x6f' + '\063' + chr(0b110110) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(798 - 747) + chr(49) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1219 - 1171) + chr(3381 - 3270) + chr(0b110010) + chr(0b110110) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(4424 - 4313) + chr(0b110001) + chr(49) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110111) + '\x31', 8650 - 8642), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(1417 - 1368) + chr(0b110000) + chr(0b11 + 0o56), 30438 - 30430), ehT0Px3KOsy9(chr(1359 - 1311) + '\157' + chr(50) + chr(0b101001 + 0o7) + chr(1554 - 1502), 0b1000), ehT0Px3KOsy9('\060' + chr(4175 - 4064) + chr(1238 - 1188) + chr(0b1111 + 0o47) + chr(2433 - 2382), 0b1000), ehT0Px3KOsy9(chr(715 - 667) + chr(769 - 658) + chr(2514 - 2463) + '\060' + chr(1103 - 1052), 20681 - 20673), ehT0Px3KOsy9(chr(1040 - 992) + '\157' + '\063' + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(49) + chr(53) + chr(1686 - 1638), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(2439 - 2387) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1221 - 1173) + '\157' + chr(0b10110 + 0o41) + '\062', 0o10), ehT0Px3KOsy9(chr(852 - 804) + '\157' + chr(0b11 + 0o56) + chr(0b110001) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b11001 + 0o126) + '\061' + chr(2446 - 2391) + chr(0b11001 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(51) + '\067', 1885 - 1877), ehT0Px3KOsy9('\060' + chr(111) + chr(1944 - 1890), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\060' + '\x30', 51447 - 51439), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(0b101111 + 0o2) + '\061' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(819 - 770) + '\x34' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(7010 - 6899) + chr(50) + chr(0b101010 + 0o13) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(50) + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b10110 + 0o36) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b11011 + 0o124) + '\062' + chr(52) + chr(49), 41265 - 41257), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + '\061' + chr(0b110001 + 0o4) + chr(700 - 649), 22314 - 22306), ehT0Px3KOsy9(chr(2074 - 2026) + chr(9620 - 9509) + '\x33' + chr(54) + chr(0b10101 + 0o33), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b110100) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1010 + 0o52) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + '\x33', 0o10), ehT0Px3KOsy9(chr(412 - 364) + chr(0b1101111) + '\x32' + '\062' + chr(0b110100), 59254 - 59246), ehT0Px3KOsy9(chr(48) + chr(8874 - 8763) + chr(0b10010 + 0o37) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + '\x32' + chr(50) + chr(0b100010 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(610 - 562) + '\x6f' + '\063' + chr(2175 - 2122) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b100 + 0o54) + '\060', 8), ehT0Px3KOsy9(chr(1881 - 1833) + '\x6f' + chr(1130 - 1075) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\064' + chr(49), 0o10), ehT0Px3KOsy9(chr(1216 - 1168) + chr(0b101001 + 0o106) + chr(0b110010) + '\x33' + chr(0b10000 + 0o43), 37934 - 37926), ehT0Px3KOsy9(chr(680 - 632) + chr(0b1101111) + chr(2365 - 2315) + chr(55) + '\x32', 0b1000), ehT0Px3KOsy9(chr(236 - 188) + '\157' + chr(0b10100 + 0o36) + '\x34' + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1557 - 1509) + chr(11595 - 11484) + '\x35' + chr(0b10010 + 0o36), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'F'), chr(100) + chr(8079 - 7978) + '\x63' + '\x6f' + '\144' + chr(5334 - 5233))(chr(0b110001 + 0o104) + chr(0b1110100) + '\x66' + chr(0b1010 + 0o43) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QxlUjz_9yzi4(oVre8I6UXc3b, KK0ERS7DqYrY):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\x89\xab\xd1<\r\x00\xe8\xdf'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(3040 - 2940) + chr(0b1100101))(chr(0b101111 + 0o106) + chr(116) + chr(9807 - 9705) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(KK0ERS7DqYrY, xafqLlk3kkUe(SXOLrMavuUCe(b'7\x9b\xac\xd2'), chr(7784 - 7684) + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(1213 - 1112))(chr(9014 - 8897) + '\164' + '\x66' + chr(0b10110 + 0o27) + '\x38'))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\x80\xa4\xeb/\r9'), '\x64' + chr(0b101010 + 0o73) + chr(99) + chr(111) + chr(100) + chr(101))('\165' + chr(13248 - 13132) + chr(0b1100110) + '\x2d' + chr(0b0 + 0o70))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.show
|
def show(self, n=20, truncate=True, vertical=False):
"""Prints the first ``n`` rows to the console.
:param n: Number of rows to show.
:param truncate: If set to True, truncate strings longer than 20 chars by default.
If set to a number greater than one, truncates long strings to length ``truncate``
and align cells right.
:param vertical: If set to True, print output rows vertically (one line
per column value).
>>> df
DataFrame[age: int, name: string]
>>> df.show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
+---+-----+
>>> df.show(truncate=3)
+---+----+
|age|name|
+---+----+
| 2| Ali|
| 5| Bob|
+---+----+
>>> df.show(vertical=True)
-RECORD 0-----
age | 2
name | Alice
-RECORD 1-----
age | 5
name | Bob
"""
if isinstance(truncate, bool) and truncate:
print(self._jdf.showString(n, 20, vertical))
else:
print(self._jdf.showString(n, int(truncate), vertical))
|
python
|
def show(self, n=20, truncate=True, vertical=False):
"""Prints the first ``n`` rows to the console.
:param n: Number of rows to show.
:param truncate: If set to True, truncate strings longer than 20 chars by default.
If set to a number greater than one, truncates long strings to length ``truncate``
and align cells right.
:param vertical: If set to True, print output rows vertically (one line
per column value).
>>> df
DataFrame[age: int, name: string]
>>> df.show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
+---+-----+
>>> df.show(truncate=3)
+---+----+
|age|name|
+---+----+
| 2| Ali|
| 5| Bob|
+---+----+
>>> df.show(vertical=True)
-RECORD 0-----
age | 2
name | Alice
-RECORD 1-----
age | 5
name | Bob
"""
if isinstance(truncate, bool) and truncate:
print(self._jdf.showString(n, 20, vertical))
else:
print(self._jdf.showString(n, int(truncate), vertical))
|
[
"def",
"show",
"(",
"self",
",",
"n",
"=",
"20",
",",
"truncate",
"=",
"True",
",",
"vertical",
"=",
"False",
")",
":",
"if",
"isinstance",
"(",
"truncate",
",",
"bool",
")",
"and",
"truncate",
":",
"print",
"(",
"self",
".",
"_jdf",
".",
"showString",
"(",
"n",
",",
"20",
",",
"vertical",
")",
")",
"else",
":",
"print",
"(",
"self",
".",
"_jdf",
".",
"showString",
"(",
"n",
",",
"int",
"(",
"truncate",
")",
",",
"vertical",
")",
")"
] |
Prints the first ``n`` rows to the console.
:param n: Number of rows to show.
:param truncate: If set to True, truncate strings longer than 20 chars by default.
If set to a number greater than one, truncates long strings to length ``truncate``
and align cells right.
:param vertical: If set to True, print output rows vertically (one line
per column value).
>>> df
DataFrame[age: int, name: string]
>>> df.show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
+---+-----+
>>> df.show(truncate=3)
+---+----+
|age|name|
+---+----+
| 2| Ali|
| 5| Bob|
+---+----+
>>> df.show(vertical=True)
-RECORD 0-----
age | 2
name | Alice
-RECORD 1-----
age | 5
name | Bob
|
[
"Prints",
"the",
"first",
"n",
"rows",
"to",
"the",
"console",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L324-L361
|
train
|
Prints the first n rows to the console.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o21) + chr(2796 - 2742) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(1800 - 1689) + chr(52) + chr(2668 - 2614), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(465 - 415) + chr(1468 - 1419) + '\062', 38573 - 38565), ehT0Px3KOsy9(chr(53 - 5) + '\x6f' + chr(49) + '\064' + '\060', 0b1000), ehT0Px3KOsy9(chr(1257 - 1209) + chr(292 - 181) + '\x32' + chr(0b110010) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1135 - 1087) + chr(111) + chr(0b110011) + chr(50) + chr(0b100101 + 0o15), 63796 - 63788), ehT0Px3KOsy9('\060' + chr(3280 - 3169) + chr(0b100 + 0o55) + chr(0b101101 + 0o12) + chr(498 - 448), 0o10), ehT0Px3KOsy9(chr(2137 - 2089) + '\x6f' + '\x31' + '\062' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1772 - 1724) + chr(6040 - 5929) + '\x31' + chr(49) + chr(0b101100 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(169 - 118) + chr(0b11111 + 0o30) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b110011) + chr(0b1000 + 0o56) + chr(0b100010 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(52) + chr(1862 - 1809), 17139 - 17131), ehT0Px3KOsy9(chr(1047 - 999) + chr(10484 - 10373) + chr(49) + chr(55), 0o10), ehT0Px3KOsy9(chr(962 - 914) + chr(0b1101111) + chr(51) + chr(2141 - 2093) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(51) + chr(2842 - 2788), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(2204 - 2153) + chr(0b110101) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + '\061' + chr(52) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1530 - 1477) + chr(0b110110), 27975 - 27967), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(2114 - 2060) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1093 - 1044) + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(0b110100) + chr(2558 - 2507), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b110011) + chr(0b110100) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + '\063' + '\x35' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o44) + chr(230 - 180) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o5) + chr(0b110101) + chr(1891 - 1836), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\x31' + chr(0b110 + 0o60) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1229 - 1179) + '\064', 21136 - 21128), ehT0Px3KOsy9(chr(48) + chr(4664 - 4553) + '\x31' + chr(1863 - 1811), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(1205 - 1151) + chr(0b100000 + 0o27), 53579 - 53571), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b111 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(48) + chr(0b10101 + 0o41), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10 + 0o60) + chr(0b110001) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(54) + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1813 - 1762) + '\060' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o55), 0o10), ehT0Px3KOsy9(chr(1811 - 1763) + chr(5067 - 4956) + chr(0b11110 + 0o25) + chr(895 - 847), 32359 - 32351), ehT0Px3KOsy9(chr(48) + '\157' + chr(1120 - 1071) + chr(1705 - 1656) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10011 + 0o42) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), '\x64' + '\x65' + '\143' + '\157' + chr(0b1000010 + 0o42) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(3427 - 3325) + chr(0b101000 + 0o5) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DCpH_3Y2dTvl(oVre8I6UXc3b, m1NkCryOw9Bx=ehT0Px3KOsy9('\060' + '\x6f' + chr(1764 - 1714) + chr(0b110100), 8), Yq_nPL_1VyPl=ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(63 - 14), ord("\x08")), L06fjQWMIJ9l=ehT0Px3KOsy9(chr(0b110000) + chr(6373 - 6262) + chr(0b110000), 0b1000)):
if PlSM16l2KDPD(Yq_nPL_1VyPl, WbBjf8Y7v9VN) and Yq_nPL_1VyPl:
zLUzGokYBM2Z(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04N\xe5\x17\xc2\xa6\x088%\x98'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1001011 + 0o31) + '\145')(chr(0b1001010 + 0o53) + chr(0b101 + 0o157) + '\146' + '\055' + '\x38'))(m1NkCryOw9Bx, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1110 + 0o44) + chr(52), 8), L06fjQWMIJ9l))
else:
zLUzGokYBM2Z(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04N\xe5\x17\xc2\xa6\x088%\x98'), chr(0b101000 + 0o74) + '\145' + chr(4412 - 4313) + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b100001 + 0o123) + chr(0b1100110) + chr(1064 - 1019) + chr(0b10011 + 0o45)))(m1NkCryOw9Bx, ehT0Px3KOsy9(Yq_nPL_1VyPl), L06fjQWMIJ9l))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame._repr_html_
|
def _repr_html_(self):
"""Returns a dataframe with html code when you enabled eager evaluation
by 'spark.sql.repl.eagerEval.enabled', this only called by REPL you are
using support eager evaluation with HTML.
"""
import cgi
if not self._support_repr_html:
self._support_repr_html = True
if self.sql_ctx._conf.isReplEagerEvalEnabled():
max_num_rows = max(self.sql_ctx._conf.replEagerEvalMaxNumRows(), 0)
sock_info = self._jdf.getRowsToPython(
max_num_rows, self.sql_ctx._conf.replEagerEvalTruncate())
rows = list(_load_from_socket(sock_info, BatchedSerializer(PickleSerializer())))
head = rows[0]
row_data = rows[1:]
has_more_data = len(row_data) > max_num_rows
row_data = row_data[:max_num_rows]
html = "<table border='1'>\n"
# generate table head
html += "<tr><th>%s</th></tr>\n" % "</th><th>".join(map(lambda x: cgi.escape(x), head))
# generate table rows
for row in row_data:
html += "<tr><td>%s</td></tr>\n" % "</td><td>".join(
map(lambda x: cgi.escape(x), row))
html += "</table>\n"
if has_more_data:
html += "only showing top %d %s\n" % (
max_num_rows, "row" if max_num_rows == 1 else "rows")
return html
else:
return None
|
python
|
def _repr_html_(self):
"""Returns a dataframe with html code when you enabled eager evaluation
by 'spark.sql.repl.eagerEval.enabled', this only called by REPL you are
using support eager evaluation with HTML.
"""
import cgi
if not self._support_repr_html:
self._support_repr_html = True
if self.sql_ctx._conf.isReplEagerEvalEnabled():
max_num_rows = max(self.sql_ctx._conf.replEagerEvalMaxNumRows(), 0)
sock_info = self._jdf.getRowsToPython(
max_num_rows, self.sql_ctx._conf.replEagerEvalTruncate())
rows = list(_load_from_socket(sock_info, BatchedSerializer(PickleSerializer())))
head = rows[0]
row_data = rows[1:]
has_more_data = len(row_data) > max_num_rows
row_data = row_data[:max_num_rows]
html = "<table border='1'>\n"
# generate table head
html += "<tr><th>%s</th></tr>\n" % "</th><th>".join(map(lambda x: cgi.escape(x), head))
# generate table rows
for row in row_data:
html += "<tr><td>%s</td></tr>\n" % "</td><td>".join(
map(lambda x: cgi.escape(x), row))
html += "</table>\n"
if has_more_data:
html += "only showing top %d %s\n" % (
max_num_rows, "row" if max_num_rows == 1 else "rows")
return html
else:
return None
|
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] |
Returns a dataframe with html code when you enabled eager evaluation
by 'spark.sql.repl.eagerEval.enabled', this only called by REPL you are
using support eager evaluation with HTML.
|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L372-L403
|
train
|
Returns a dataframe with html code when you enabled eager evaluation by Spark SQL.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1937 - 1889) + '\x6f' + chr(0b101110 + 0o4) + chr(0b110001 + 0o0) + '\x30', 23666 - 23658), ehT0Px3KOsy9(chr(581 - 533) + '\x6f' + '\x32' + chr(1181 - 1131) + '\x35', 62455 - 62447), ehT0Px3KOsy9(chr(1653 - 1605) + chr(0b1010001 + 0o36) + '\061' + chr(52), 505 - 497), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1710 - 1659) + '\065' + chr(0b1100 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1102 - 1053) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b10001 + 0o37) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6834 - 6723) + chr(0b110011) + chr(2237 - 2187) + chr(55), 26865 - 26857), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x30' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(53) + chr(1492 - 1440), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(51) + '\061' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(2005 - 1955) + '\x35', 36849 - 36841), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b0 + 0o64) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(2226 - 2177) + chr(2211 - 2157), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9656 - 9545) + chr(0b100100 + 0o17) + '\065' + chr(0b101110 + 0o5), 23652 - 23644), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101101 + 0o11) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(9430 - 9319) + '\x31' + chr(0b110010) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6139 - 6028) + chr(0b110001 + 0o1) + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100111 + 0o13) + chr(0b101111 + 0o10) + chr(54), 0b1000), ehT0Px3KOsy9(chr(813 - 765) + '\x6f' + '\061' + chr(584 - 534) + chr(52), 23491 - 23483), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(947 - 897), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\064' + chr(0b1111 + 0o41), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110010) + '\060', 0b1000), ehT0Px3KOsy9(chr(621 - 573) + chr(0b111 + 0o150) + '\061' + '\x30' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1366 - 1316) + '\066' + chr(1966 - 1917), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110000) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x30' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(49) + '\066' + chr(0b110000), 49228 - 49220), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(55) + chr(0b101011 + 0o10), 8209 - 8201), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x37', 38710 - 38702), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\062' + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b0 + 0o62) + '\x35', 8), ehT0Px3KOsy9(chr(1374 - 1326) + chr(9512 - 9401) + chr(0b110001) + chr(767 - 715) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(5704 - 5593) + chr(51) + chr(0b1110 + 0o51) + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(632 - 581) + chr(48) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b10010 + 0o41) + '\x30' + chr(1147 - 1096), 61162 - 61154), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(1720 - 1669) + chr(0b101111 + 0o5) + '\066', 52649 - 52641), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(2497 - 2443) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1001001 + 0o46) + chr(1055 - 1006) + chr(0b1111 + 0o44) + '\067', 7056 - 7048)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1923 - 1870) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), '\x64' + chr(0b1001010 + 0o33) + chr(7054 - 6955) + chr(0b1000010 + 0o55) + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + chr(0b11110 + 0o110) + '\x2d' + chr(0b10000 + 0o50)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ToIPxOzQ40dI(oVre8I6UXc3b):
(n0Aru7epr24j,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\xf2e'), '\x64' + '\145' + chr(99) + chr(0b100011 + 0o114) + chr(6071 - 5971) + chr(9515 - 9414))(chr(3267 - 3150) + chr(11533 - 11417) + chr(5849 - 5747) + chr(0b11100 + 0o21) + chr(1744 - 1688))),)
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd7\xe6y\xe9\x98z{7\x88\xf2\t\xb9'\xfff\x9f[;"), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b10110 + 0o117))('\x75' + chr(9776 - 9660) + chr(2333 - 2231) + chr(0b101101) + '\070')):
oVre8I6UXc3b.ulevMjfkwQV4 = ehT0Px3KOsy9('\060' + '\157' + chr(0b1110 + 0o43), 0o10)
if xafqLlk3kkUe(oVre8I6UXc3b.sql_ctx._conf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xe6^\xfc\x98yL"\xb0\xe5\x1e\x8c#\xc1b\xaeX6\xfc\xd21n'), '\x64' + chr(3674 - 3573) + chr(2260 - 2161) + chr(7952 - 7841) + chr(0b1100100) + chr(4140 - 4039))(chr(117) + chr(116) + chr(2363 - 2261) + '\055' + chr(0b111000)))():
XIOwDPisg4vD = tsdjvlgh9gDP(oVre8I6UXc3b.sql_ctx._conf.replEagerEvalMaxNumRows(), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 0o10))
Ixq2Ot7QrmtE = oVre8I6UXc3b._jdf.getRowsToPython(XIOwDPisg4vD, oVre8I6UXc3b.sql_ctx._conf.replEagerEvalTruncate())
rAoIgjmAxUis = YyaZ4tpXu4lf(lc0dZyjrneZ2(Ixq2Ot7QrmtE, iTzlNnr82sU4(mOZhmRNFiAVs())))
jTNf3myQ667Q = rAoIgjmAxUis[ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(744 - 696), 8)]
U1olrCmKkc8o = rAoIgjmAxUis[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101110 + 0o3), 8):]
MZ09T27_QPgH = c2A0yzQpDQB3(U1olrCmKkc8o) > XIOwDPisg4vD
U1olrCmKkc8o = U1olrCmKkc8o[:XIOwDPisg4vD]
kK5tVZVlLKWY = xafqLlk3kkUe(SXOLrMavuUCe(b"\xb4\xe1m\xfb\x84p)!\xb8\xf2\x08\xac'\x9d)\xda\x11i\x94"), chr(0b1000011 + 0o41) + chr(8663 - 8562) + '\143' + '\157' + chr(100) + chr(101))('\x75' + chr(8393 - 8277) + chr(0b1001111 + 0o27) + chr(0b101101) + chr(56))
kK5tVZVlLKWY += xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xe1~\xa7\xd4aa}\xf2\xf3P\xe6!\xc80\xd7\x19#\xec\x80^'), '\144' + chr(4536 - 4435) + '\x63' + chr(0b101011 + 0o104) + chr(1408 - 1308) + chr(0b1010000 + 0o25))(chr(2738 - 2621) + chr(116) + chr(10281 - 10179) + chr(1095 - 1050) + chr(56)) % xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xbax\xf1\xd6)}+\xe9'), '\x64' + chr(0b101000 + 0o75) + chr(0b11010 + 0o111) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070').join(abA97kOQKaLo(lambda OeWW0F1dBPRQ: n0Aru7epr24j.escape(OeWW0F1dBPRQ), jTNf3myQ667Q))
for TAK9K32TkBdA in U1olrCmKkc8o:
kK5tVZVlLKWY += xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xe1~\xa7\xd4am}\xf2\xf3P\xe6!\xc40\xd7\x19#\xec\x80^'), '\144' + chr(101) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b101000 + 0o115) + chr(10417 - 10301) + chr(102) + chr(0b101101) + '\070') % xafqLlk3kkUe(SXOLrMavuUCe(b"\xb4\xbax\xfd\xd6)}'\xe9"), chr(0b1100100) + chr(0b1100101) + chr(0b1000001 + 0o42) + chr(4344 - 4233) + chr(0b1100100) + chr(0b111011 + 0o52))('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)).join(abA97kOQKaLo(lambda OeWW0F1dBPRQ: n0Aru7epr24j.escape(OeWW0F1dBPRQ), TAK9K32TkBdA))
kK5tVZVlLKWY += xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xbax\xf8\x8ayl}\xdd'), chr(100) + chr(101) + '\x63' + chr(8408 - 8297) + '\x64' + chr(0b11100 + 0o111))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(1430 - 1385) + chr(3032 - 2976))
if MZ09T27_QPgH:
kK5tVZVlLKWY += xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xfb`\xe0\xc8fa,\xa0\xe9\x02\xaeu\xd4a\x9b\x16r\xfa\x9eqy\xea'), chr(100) + chr(966 - 865) + '\x63' + chr(0b1011010 + 0o25) + chr(100) + chr(0b1000101 + 0o40))(chr(117) + chr(116) + chr(102) + '\055' + chr(0b110000 + 0o10)) % (XIOwDPisg4vD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xfa{'), '\x64' + chr(299 - 198) + chr(0b10010 + 0o121) + chr(111) + '\144' + '\145')(chr(0b111 + 0o156) + '\x74' + chr(102) + '\055' + chr(0b10 + 0o66)) if XIOwDPisg4vD == ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8) else xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xfa{\xea'), chr(0b10110 + 0o116) + '\145' + '\x63' + chr(0b1101111) + '\x64' + chr(3133 - 3032))(chr(3601 - 3484) + '\164' + chr(0b1000010 + 0o44) + chr(45) + '\x38'))
return kK5tVZVlLKWY
else:
return None
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.checkpoint
|
def checkpoint(self, eager=True):
"""Returns a checkpointed version of this Dataset. Checkpointing can be used to truncate the
logical plan of this DataFrame, which is especially useful in iterative algorithms where the
plan may grow exponentially. It will be saved to files inside the checkpoint
directory set with L{SparkContext.setCheckpointDir()}.
:param eager: Whether to checkpoint this DataFrame immediately
.. note:: Experimental
"""
jdf = self._jdf.checkpoint(eager)
return DataFrame(jdf, self.sql_ctx)
|
python
|
def checkpoint(self, eager=True):
"""Returns a checkpointed version of this Dataset. Checkpointing can be used to truncate the
logical plan of this DataFrame, which is especially useful in iterative algorithms where the
plan may grow exponentially. It will be saved to files inside the checkpoint
directory set with L{SparkContext.setCheckpointDir()}.
:param eager: Whether to checkpoint this DataFrame immediately
.. note:: Experimental
"""
jdf = self._jdf.checkpoint(eager)
return DataFrame(jdf, self.sql_ctx)
|
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"(",
"eager",
")",
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"DataFrame",
"(",
"jdf",
",",
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".",
"sql_ctx",
")"
] |
Returns a checkpointed version of this Dataset. Checkpointing can be used to truncate the
logical plan of this DataFrame, which is especially useful in iterative algorithms where the
plan may grow exponentially. It will be saved to files inside the checkpoint
directory set with L{SparkContext.setCheckpointDir()}.
:param eager: Whether to checkpoint this DataFrame immediately
.. note:: Experimental
|
[
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"}",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L406-L417
|
train
|
Returns a new DataFrame with the current version of the current DataFrame and optionally eagerly checkpointed.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1000001 + 0o56) + chr(0b1001 + 0o52) + chr(54) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b10011 + 0o37) + chr(0b110001) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110001) + chr(0b110011 + 0o3), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(631 - 580) + '\067' + chr(1201 - 1147), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(2152 - 2099) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\061' + '\065' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\063' + chr(0b110111) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1988 - 1937) + chr(50) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(807 - 752) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(979 - 930) + chr(0b101011 + 0o5), 0o10), ehT0Px3KOsy9(chr(1194 - 1146) + chr(0b110110 + 0o71) + chr(0b110011) + chr(0b100011 + 0o17) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(684 - 573) + chr(2288 - 2237) + chr(1049 - 994) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + '\x36', 0o10), ehT0Px3KOsy9(chr(417 - 369) + chr(4855 - 4744) + chr(0b110010) + chr(0b11111 + 0o22) + chr(0b11 + 0o64), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(53) + chr(1132 - 1081), 17077 - 17069), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(359 - 304) + '\066', 41831 - 41823), ehT0Px3KOsy9(chr(0b110000) + chr(9135 - 9024) + chr(0b101101 + 0o4) + '\061' + chr(1075 - 1027), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(8706 - 8595) + '\x33' + chr(710 - 656) + '\064', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011 + 0o0) + chr(49) + chr(1800 - 1746), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6526 - 6415) + '\x37' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(511 - 463) + chr(8007 - 7896) + chr(0b110011) + '\x31' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1701 - 1648) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1098 - 1048) + '\x30' + chr(0b101100 + 0o12), 31480 - 31472), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x34' + '\065', 8081 - 8073), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x32' + chr(896 - 843), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(199 - 149) + chr(1392 - 1338) + '\063', 16494 - 16486), ehT0Px3KOsy9('\x30' + '\157' + chr(118 - 63) + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(0b110001) + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b11010 + 0o30) + '\x37' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(972 - 861) + chr(1268 - 1218) + '\067' + chr(0b10010 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(48) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\x33' + chr(0b101011 + 0o6) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(8559 - 8448) + chr(1313 - 1261) + chr(499 - 450), 0o10), ehT0Px3KOsy9(chr(237 - 189) + chr(0b1101111) + chr(0b110111), 33838 - 33830), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110100) + chr(0b101001 + 0o15), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2330 - 2279) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + '\x32' + chr(2186 - 2134) + chr(0b10101 + 0o42), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(53) + '\x30', 20715 - 20707)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'/'), '\x64' + chr(101) + chr(0b100100 + 0o77) + '\x6f' + '\144' + '\145')(chr(0b111001 + 0o74) + '\x74' + '\x66' + chr(0b101101) + chr(2333 - 2277)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DNoMzyusA3wb(oVre8I6UXc3b, Hu2Bva7N5KyK=ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(1209 - 1160), 8)):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.checkpoint(Hu2Bva7N5KyK)
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'rF\x98\xd1\xed\x8a\xd1'), chr(2748 - 2648) + '\x65' + chr(0b11111 + 0o104) + '\x6f' + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(102) + chr(835 - 790) + '\070')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.localCheckpoint
|
def localCheckpoint(self, eager=True):
"""Returns a locally checkpointed version of this Dataset. Checkpointing can be used to
truncate the logical plan of this DataFrame, which is especially useful in iterative
algorithms where the plan may grow exponentially. Local checkpoints are stored in the
executors using the caching subsystem and therefore they are not reliable.
:param eager: Whether to checkpoint this DataFrame immediately
.. note:: Experimental
"""
jdf = self._jdf.localCheckpoint(eager)
return DataFrame(jdf, self.sql_ctx)
|
python
|
def localCheckpoint(self, eager=True):
"""Returns a locally checkpointed version of this Dataset. Checkpointing can be used to
truncate the logical plan of this DataFrame, which is especially useful in iterative
algorithms where the plan may grow exponentially. Local checkpoints are stored in the
executors using the caching subsystem and therefore they are not reliable.
:param eager: Whether to checkpoint this DataFrame immediately
.. note:: Experimental
"""
jdf = self._jdf.localCheckpoint(eager)
return DataFrame(jdf, self.sql_ctx)
|
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"(",
"eager",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
".",
"sql_ctx",
")"
] |
Returns a locally checkpointed version of this Dataset. Checkpointing can be used to
truncate the logical plan of this DataFrame, which is especially useful in iterative
algorithms where the plan may grow exponentially. Local checkpoints are stored in the
executors using the caching subsystem and therefore they are not reliable.
:param eager: Whether to checkpoint this DataFrame immediately
.. note:: Experimental
|
[
"Returns",
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"locally",
"checkpointed",
"version",
"of",
"this",
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".",
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"can",
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"iterative",
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"where",
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"and",
"therefore",
"they",
"are",
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"reliable",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L420-L431
|
train
|
Returns a locally checkpointed version of this Dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110 + 0o55) + chr(0b11100 + 0o26) + chr(0b100000 + 0o20), 65040 - 65032), ehT0Px3KOsy9(chr(154 - 106) + chr(8431 - 8320) + '\x31' + chr(51), 0b1000), ehT0Px3KOsy9(chr(1095 - 1047) + chr(12033 - 11922) + '\062' + '\062' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(1776 - 1725) + chr(0b110110) + chr(0b1010 + 0o54), 0b1000), ehT0Px3KOsy9(chr(1957 - 1909) + chr(111) + '\063' + '\x35' + '\064', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x33' + '\061' + chr(691 - 637), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(49) + chr(0b110001 + 0o2), 34326 - 34318), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(289 - 240) + '\062' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1000110 + 0o51) + chr(0b110001) + chr(0b1100 + 0o50) + '\x30', 0b1000), ehT0Px3KOsy9(chr(233 - 185) + '\x6f' + chr(0b11000 + 0o31) + chr(1363 - 1314) + chr(1180 - 1132), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b10 + 0o64) + chr(1716 - 1667), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100101 + 0o14) + chr(54) + chr(0b100 + 0o63), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b110011) + chr(0b110001) + chr(0b11111 + 0o27), 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(1802 - 1691) + '\061' + chr(55) + chr(0b1010 + 0o53), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1611 - 1560) + chr(0b1001 + 0o54) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(50) + chr(49) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\062' + '\064', 13370 - 13362), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + '\063' + chr(0b110110) + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\067' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(181 - 133) + chr(111) + '\064' + '\065', 48108 - 48100), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b101010 + 0o10) + '\060' + chr(541 - 493), 25032 - 25024), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(7885 - 7774) + chr(752 - 702) + chr(0b110100) + chr(413 - 363), 0b1000), ehT0Px3KOsy9('\060' + chr(12247 - 12136) + chr(0b11001 + 0o30) + chr(0b101100 + 0o7) + chr(0b100110 + 0o14), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1100 + 0o45) + '\063', 8), ehT0Px3KOsy9(chr(1698 - 1650) + chr(3086 - 2975) + '\062' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(2507 - 2396) + chr(1755 - 1705) + chr(2453 - 2401) + '\x34', 10569 - 10561), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x30' + chr(0b10001 + 0o41), 28721 - 28713), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1022 - 973) + '\062', 12386 - 12378), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110110) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10101 + 0o37) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7728 - 7617) + chr(0b11100 + 0o26) + '\x33' + chr(0b110101), 5297 - 5289), ehT0Px3KOsy9(chr(1139 - 1091) + chr(0b1101111) + '\061' + '\x31' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11100 + 0o27) + chr(0b110010) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(6725 - 6614) + '\066' + chr(49), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(274 - 225) + '\x35' + chr(0b11 + 0o55), 58028 - 58020), ehT0Px3KOsy9(chr(48) + chr(6916 - 6805) + '\061' + '\061' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110010) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110111) + '\066', 32327 - 32319)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(1299 - 1246) + '\060', 53925 - 53917)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe'), '\x64' + chr(0b1100101) + chr(8790 - 8691) + chr(0b1101111) + '\144' + '\x65')('\165' + chr(5381 - 5265) + chr(0b101000 + 0o76) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def I6YhuQqOo2JM(oVre8I6UXc3b, Hu2Bva7N5KyK=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 41117 - 41109)):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.localCheckpoint(Hu2Bva7N5KyK)
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3z\xfb\xa9\x8f\xba\xf3'), chr(1565 - 1465) + '\x65' + '\143' + chr(0b111010 + 0o65) + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b10111 + 0o26) + chr(2760 - 2704))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.withWatermark
|
def withWatermark(self, eventTime, delayThreshold):
"""Defines an event time watermark for this :class:`DataFrame`. A watermark tracks a point
in time before which we assume no more late data is going to arrive.
Spark will use this watermark for several purposes:
- To know when a given time window aggregation can be finalized and thus can be emitted
when using output modes that do not allow updates.
- To minimize the amount of state that we need to keep for on-going aggregations.
The current watermark is computed by looking at the `MAX(eventTime)` seen across
all of the partitions in the query minus a user specified `delayThreshold`. Due to the cost
of coordinating this value across partitions, the actual watermark used is only guaranteed
to be at least `delayThreshold` behind the actual event time. In some cases we may still
process records that arrive more than `delayThreshold` late.
:param eventTime: the name of the column that contains the event time of the row.
:param delayThreshold: the minimum delay to wait to data to arrive late, relative to the
latest record that has been processed in the form of an interval
(e.g. "1 minute" or "5 hours").
.. note:: Evolving
>>> sdf.select('name', sdf.time.cast('timestamp')).withWatermark('time', '10 minutes')
DataFrame[name: string, time: timestamp]
"""
if not eventTime or type(eventTime) is not str:
raise TypeError("eventTime should be provided as a string")
if not delayThreshold or type(delayThreshold) is not str:
raise TypeError("delayThreshold should be provided as a string interval")
jdf = self._jdf.withWatermark(eventTime, delayThreshold)
return DataFrame(jdf, self.sql_ctx)
|
python
|
def withWatermark(self, eventTime, delayThreshold):
"""Defines an event time watermark for this :class:`DataFrame`. A watermark tracks a point
in time before which we assume no more late data is going to arrive.
Spark will use this watermark for several purposes:
- To know when a given time window aggregation can be finalized and thus can be emitted
when using output modes that do not allow updates.
- To minimize the amount of state that we need to keep for on-going aggregations.
The current watermark is computed by looking at the `MAX(eventTime)` seen across
all of the partitions in the query minus a user specified `delayThreshold`. Due to the cost
of coordinating this value across partitions, the actual watermark used is only guaranteed
to be at least `delayThreshold` behind the actual event time. In some cases we may still
process records that arrive more than `delayThreshold` late.
:param eventTime: the name of the column that contains the event time of the row.
:param delayThreshold: the minimum delay to wait to data to arrive late, relative to the
latest record that has been processed in the form of an interval
(e.g. "1 minute" or "5 hours").
.. note:: Evolving
>>> sdf.select('name', sdf.time.cast('timestamp')).withWatermark('time', '10 minutes')
DataFrame[name: string, time: timestamp]
"""
if not eventTime or type(eventTime) is not str:
raise TypeError("eventTime should be provided as a string")
if not delayThreshold or type(delayThreshold) is not str:
raise TypeError("delayThreshold should be provided as a string interval")
jdf = self._jdf.withWatermark(eventTime, delayThreshold)
return DataFrame(jdf, self.sql_ctx)
|
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",",
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] |
Defines an event time watermark for this :class:`DataFrame`. A watermark tracks a point
in time before which we assume no more late data is going to arrive.
Spark will use this watermark for several purposes:
- To know when a given time window aggregation can be finalized and thus can be emitted
when using output modes that do not allow updates.
- To minimize the amount of state that we need to keep for on-going aggregations.
The current watermark is computed by looking at the `MAX(eventTime)` seen across
all of the partitions in the query minus a user specified `delayThreshold`. Due to the cost
of coordinating this value across partitions, the actual watermark used is only guaranteed
to be at least `delayThreshold` behind the actual event time. In some cases we may still
process records that arrive more than `delayThreshold` late.
:param eventTime: the name of the column that contains the event time of the row.
:param delayThreshold: the minimum delay to wait to data to arrive late, relative to the
latest record that has been processed in the form of an interval
(e.g. "1 minute" or "5 hours").
.. note:: Evolving
>>> sdf.select('name', sdf.time.cast('timestamp')).withWatermark('time', '10 minutes')
DataFrame[name: string, time: timestamp]
|
[
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"time",
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L434-L465
|
train
|
Defines an event time watermark for this DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(0b100010 + 0o23), 38219 - 38211), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11 + 0o57) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(1043 - 995) + '\x30', 0o10), ehT0Px3KOsy9(chr(532 - 484) + chr(0b1101111) + chr(0b10101 + 0o34) + chr(0b110001) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(12184 - 12073) + '\067' + chr(0b110110), 13911 - 13903), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\061' + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(773 - 725), 0o10), ehT0Px3KOsy9(chr(1535 - 1487) + chr(8364 - 8253) + chr(1055 - 1006) + chr(0b10 + 0o57) + chr(0b1111 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b11 + 0o57) + chr(0b110000) + chr(0b11111 + 0o26), 0b1000), ehT0Px3KOsy9(chr(1851 - 1803) + '\x6f' + chr(2517 - 2466) + '\067' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110) + chr(0b1101 + 0o52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o5) + chr(49) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110101) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b11101 + 0o25) + chr(55), 0o10), ehT0Px3KOsy9(chr(142 - 94) + chr(111) + '\x33' + '\061' + '\064', 27504 - 27496), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(78 - 23), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(51) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(8567 - 8456) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110010) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(50) + chr(0b110110) + chr(911 - 857), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1871 - 1816) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(736 - 688) + chr(0b1101111) + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + '\x37', 9015 - 9007), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10010 + 0o41) + chr(0b1011 + 0o47) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x34' + chr(0b10011 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(49) + '\067' + chr(702 - 653), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\063' + chr(50), 16539 - 16531), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x34' + chr(1691 - 1639), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\063' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(8993 - 8882) + chr(0b100111 + 0o12) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1371 - 1320) + '\066' + chr(1438 - 1387), 20748 - 20740), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(0b11011 + 0o30) + chr(0b10111 + 0o35) + chr(496 - 448), 21153 - 21145), ehT0Px3KOsy9(chr(1765 - 1717) + chr(301 - 190) + '\062' + chr(54) + chr(0b101010 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110110) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(5686 - 5575) + '\x31' + chr(52) + chr(0b10101 + 0o40), 0b1000), ehT0Px3KOsy9(chr(314 - 266) + '\157' + chr(129 - 77) + chr(1256 - 1204), ord("\x08")), ehT0Px3KOsy9(chr(337 - 289) + '\157' + '\x32' + chr(0b11001 + 0o34) + chr(2893 - 2838), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + chr(1101 - 1051) + '\062' + '\061', 35335 - 35327)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(53) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x13'), chr(0b1100100) + chr(7750 - 7649) + '\x63' + chr(111) + '\144' + '\145')('\x75' + '\164' + chr(102) + chr(0b101101 + 0o0) + chr(1290 - 1234)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Q5zWxyKj9VW_(oVre8I6UXc3b, dcjE9wqhdr4D, VXQhMPFAv6bA):
if not dcjE9wqhdr4D or not PlSM16l2KDPD(dcjE9wqhdr4D, M8_cKLkHVB2V):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'Xc%"J\x19q$\xe0\xdbD"\xc6b\xa0s\xf9~es\xc6JP^F\xb3\x06\x1dz\x05\xeb/\x92\xc0\xc0\x04\x17M\xc1\xf6'), chr(100) + chr(2391 - 2290) + chr(0b1 + 0o142) + chr(111) + '\x64' + '\145')(chr(0b1011110 + 0o27) + chr(3431 - 3315) + chr(7602 - 7500) + chr(0b10010 + 0o33) + chr(775 - 719)))
if not VXQhMPFAv6bA or not PlSM16l2KDPD(VXQhMPFAv6bA, M8_cKLkHVB2V):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'Yp,-G\x19p;\xe0\x88_%\xc5s\xecd\xb1su?\xd2\x18]M\x0f\xa7\x11\x16,\r\xfcj\x97\xc0\xd2\x03EE\x8f\xe2Ig)"Ymq\'\xf1\x9eE<\xc8{'), chr(0b1010011 + 0o21) + '\145' + '\143' + chr(3536 - 3425) + '\144' + chr(0b1100101))('\165' + chr(12764 - 12648) + chr(102) + '\x2d' + '\x38'))
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.withWatermark(dcjE9wqhdr4D, VXQhMPFAv6bA)
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Nd,\x13]9`'), '\144' + chr(8293 - 8192) + chr(0b1100011) + '\157' + '\144' + '\x65')('\x75' + '\x74' + chr(0b1011001 + 0o15) + chr(1929 - 1884) + '\070')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.hint
|
def hint(self, name, *parameters):
"""Specifies some hint on the current DataFrame.
:param name: A name of the hint.
:param parameters: Optional parameters.
:return: :class:`DataFrame`
>>> df.join(df2.hint("broadcast"), "name").show()
+----+---+------+
|name|age|height|
+----+---+------+
| Bob| 5| 85|
+----+---+------+
"""
if len(parameters) == 1 and isinstance(parameters[0], list):
parameters = parameters[0]
if not isinstance(name, str):
raise TypeError("name should be provided as str, got {0}".format(type(name)))
allowed_types = (basestring, list, float, int)
for p in parameters:
if not isinstance(p, allowed_types):
raise TypeError(
"all parameters should be in {0}, got {1} of type {2}".format(
allowed_types, p, type(p)))
jdf = self._jdf.hint(name, self._jseq(parameters))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def hint(self, name, *parameters):
"""Specifies some hint on the current DataFrame.
:param name: A name of the hint.
:param parameters: Optional parameters.
:return: :class:`DataFrame`
>>> df.join(df2.hint("broadcast"), "name").show()
+----+---+------+
|name|age|height|
+----+---+------+
| Bob| 5| 85|
+----+---+------+
"""
if len(parameters) == 1 and isinstance(parameters[0], list):
parameters = parameters[0]
if not isinstance(name, str):
raise TypeError("name should be provided as str, got {0}".format(type(name)))
allowed_types = (basestring, list, float, int)
for p in parameters:
if not isinstance(p, allowed_types):
raise TypeError(
"all parameters should be in {0}, got {1} of type {2}".format(
allowed_types, p, type(p)))
jdf = self._jdf.hint(name, self._jseq(parameters))
return DataFrame(jdf, self.sql_ctx)
|
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] |
Specifies some hint on the current DataFrame.
:param name: A name of the hint.
:param parameters: Optional parameters.
:return: :class:`DataFrame`
>>> df.join(df2.hint("broadcast"), "name").show()
+----+---+------+
|name|age|height|
+----+---+------+
| Bob| 5| 85|
+----+---+------+
|
[
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"some",
"hint",
"on",
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"current",
"DataFrame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L468-L496
|
train
|
Specifies some hint on the current DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\063' + chr(53) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\062' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9(chr(125 - 77) + chr(4078 - 3967) + chr(51) + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1692 - 1641) + chr(0b110001) + chr(0b101010 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(378 - 330) + '\157' + chr(0b11110 + 0o25) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 39975 - 39967), ehT0Px3KOsy9(chr(692 - 644) + chr(10905 - 10794) + '\x32' + chr(348 - 299) + '\x36', 29748 - 29740), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b11000 + 0o31) + chr(0b11000 + 0o32), 45143 - 45135), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(0b110010) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x30' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1906 - 1857) + '\x36' + chr(51), 42611 - 42603), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\065' + chr(0b110000), 51389 - 51381), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\063' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x33' + chr(0b1111 + 0o45) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100110 + 0o14) + '\x33', 13912 - 13904), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x35' + '\061', 64950 - 64942), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(12293 - 12182) + '\x33' + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5485 - 5374) + chr(55) + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9(chr(83 - 35) + '\x6f' + chr(0b11111 + 0o27) + '\x36', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(220 - 170) + '\x33' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(418 - 367) + '\x37', 30305 - 30297), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\062' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + '\061' + '\x37', 32432 - 32424), ehT0Px3KOsy9(chr(696 - 648) + chr(1896 - 1785) + '\063' + chr(1390 - 1338) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(502 - 453) + '\x37' + chr(0b1101 + 0o43), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(925 - 875) + chr(2799 - 2746) + chr(1164 - 1115), 8), ehT0Px3KOsy9(chr(1812 - 1764) + chr(111) + '\061' + '\064' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\064' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(0b110010) + chr(0b1000 + 0o53) + chr(0b101010 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b100110 + 0o111) + '\x33' + '\063' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b101001 + 0o12) + '\060', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(1663 - 1552) + '\x37' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(54) + chr(0b1010 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1582 - 1530), 0b1000), ehT0Px3KOsy9(chr(2059 - 2011) + chr(0b1101111) + '\065' + chr(760 - 707), 0b1000), ehT0Px3KOsy9('\060' + chr(11331 - 11220) + chr(49) + '\x35' + '\062', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(2053 - 2000) + chr(508 - 460), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), '\144' + chr(2337 - 2236) + '\x63' + chr(0b1101100 + 0o3) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PdyXvMQwxRGn(oVre8I6UXc3b, AIvJRzLdDfgF, *YwMyLskbiCrd):
if c2A0yzQpDQB3(YwMyLskbiCrd) == ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(0b100 + 0o55), ord("\x08")) and PlSM16l2KDPD(YwMyLskbiCrd[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1647 - 1599), 8)], YyaZ4tpXu4lf):
YwMyLskbiCrd = YwMyLskbiCrd[ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b10011 + 0o35), 8)]
if not PlSM16l2KDPD(AIvJRzLdDfgF, M8_cKLkHVB2V):
raise sznFqDbNBHlx(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x87,\xb9M\xe8\xbe\x99o\xfb\xa6s\xa0T\x16\xc8\xef\x92|\xdf\xb2]S\xf9?0|\xc2\x0b\xdd\x12H\xbe\xbf\xb7r\x19\xce4P'), '\144' + chr(0b1011001 + 0o14) + chr(0b1010001 + 0o22) + chr(111) + chr(2826 - 2726) + chr(0b101 + 0o140))(chr(0b1110101) + chr(0b101011 + 0o111) + '\x66' + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f"\xa6E\xa9\xb9'), chr(0b1000010 + 0o42) + chr(0b1001001 + 0o34) + chr(7753 - 7654) + '\x6f' + chr(100) + chr(2720 - 2619))(chr(12392 - 12275) + '\164' + chr(0b111011 + 0o53) + chr(45) + '\070'))(wmQmyeWBmUpv(AIvJRzLdDfgF)))
FBh7VQlUfT83 = (YUHmwdgm0K2P, YyaZ4tpXu4lf, kkSX4ccExqw4, ehT0Px3KOsy9)
for UyakMW2IMFEj in YwMyLskbiCrd:
if not PlSM16l2KDPD(UyakMW2IMFEj, FBh7VQlUfT83):
raise sznFqDbNBHlx(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88!\xb8\x08\xb8\xac\x83a\xe3\xafc\xe5D\x00\xc8\xec\x88|\xdc\xb7]\x16\xffzqf\x8cX\xd2P\x19\xb2\xf8\xbfiM\x95\x7f\x1c\x17\xc9"\xb2\x08\xbc\xb4\x81e\xae\xb1%\xfd'), chr(100) + '\x65' + chr(99) + chr(111) + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(102) + chr(839 - 794) + chr(0b101000 + 0o20)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f"\xa6E\xa9\xb9'), chr(0b110001 + 0o63) + '\x65' + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(932 - 815) + chr(5874 - 5758) + '\x66' + chr(45) + chr(0b101100 + 0o14)))(FBh7VQlUfT83, UyakMW2IMFEj, wmQmyeWBmUpv(UyakMW2IMFEj)))
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.hint(AIvJRzLdDfgF, oVre8I6UXc3b._jseq(YwMyLskbiCrd))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a<\xb8w\xab\xb9\x89'), chr(3592 - 3492) + '\x65' + '\x63' + '\157' + '\144' + chr(659 - 558))(chr(7180 - 7063) + '\164' + chr(102) + '\055' + '\070')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.collect
|
def collect(self):
"""Returns all the records as a list of :class:`Row`.
>>> df.collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
"""
with SCCallSiteSync(self._sc) as css:
sock_info = self._jdf.collectToPython()
return list(_load_from_socket(sock_info, BatchedSerializer(PickleSerializer())))
|
python
|
def collect(self):
"""Returns all the records as a list of :class:`Row`.
>>> df.collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
"""
with SCCallSiteSync(self._sc) as css:
sock_info = self._jdf.collectToPython()
return list(_load_from_socket(sock_info, BatchedSerializer(PickleSerializer())))
|
[
"def",
"collect",
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"self",
")",
":",
"with",
"SCCallSiteSync",
"(",
"self",
".",
"_sc",
")",
"as",
"css",
":",
"sock_info",
"=",
"self",
".",
"_jdf",
".",
"collectToPython",
"(",
")",
"return",
"list",
"(",
"_load_from_socket",
"(",
"sock_info",
",",
"BatchedSerializer",
"(",
"PickleSerializer",
"(",
")",
")",
")",
")"
] |
Returns all the records as a list of :class:`Row`.
>>> df.collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
|
[
"Returns",
"all",
"the",
"records",
"as",
"a",
"list",
"of",
":",
"class",
":",
"Row",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L509-L517
|
train
|
Returns all the records as a list of Row.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(484 - 373) + '\061' + chr(53) + chr(1594 - 1546), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(1497 - 1386) + chr(0b110010) + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + '\066' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(1174 - 1125) + chr(0b101000 + 0o16) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(0b110001) + chr(0b101 + 0o60) + '\x36', 43863 - 43855), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b111 + 0o51) + chr(0b110100), 58087 - 58079), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b110011) + '\x35' + chr(51), 64735 - 64727), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110101) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\x33' + chr(0b110100) + chr(49), 32018 - 32010), ehT0Px3KOsy9(chr(48) + '\157' + chr(55) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(868 - 818) + chr(0b110000) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(532 - 482) + chr(442 - 393) + chr(1782 - 1728), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110000) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + '\x34' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + '\x32' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\x32' + chr(53) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\063' + chr(0b10100 + 0o35), 0b1000), ehT0Px3KOsy9('\x30' + chr(3100 - 2989) + '\062' + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\060' + chr(553 - 504), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10254 - 10143) + chr(727 - 676) + chr(52) + chr(2247 - 2199), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(489 - 435) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b11110 + 0o27) + chr(0b10110 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110101) + chr(0b110000 + 0o6), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100001 + 0o23), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(0b101 + 0o60) + '\061', 58038 - 58030), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1094 - 1044) + '\x34' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b11011 + 0o25) + chr(0b101010 + 0o11), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110110) + chr(0b110001 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(49) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\063' + chr(0b100100 + 0o15) + chr(2266 - 2213), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b101011 + 0o14) + '\062', 58215 - 58207), ehT0Px3KOsy9(chr(48) + chr(3214 - 3103) + chr(133 - 82) + chr(0b110000) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\x32' + chr(77 - 27) + chr(0b10010 + 0o45), 18391 - 18383), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2569 - 2518) + '\064' + chr(0b111 + 0o52), 8), ehT0Px3KOsy9(chr(726 - 678) + chr(0b1101111) + '\061' + chr(49), 64556 - 64548), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(1086 - 1035) + chr(1910 - 1862) + '\060', 62985 - 62977), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\062' + '\x36' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(160 - 49) + '\065' + chr(0b0 + 0o60), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'F'), chr(5502 - 5402) + chr(101) + chr(9004 - 8905) + chr(0b1101111) + chr(1888 - 1788) + '\145')(chr(117) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def x0uYyJb9qHm5(oVre8I6UXc3b):
with w4BQmxaQvvMa(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'7\xfeR'), chr(9283 - 9183) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(3645 - 3544))(chr(117) + chr(116) + chr(2302 - 2200) + chr(0b11101 + 0o20) + '\x38'))) as Zwp12no5jgU1:
Ixq2Ot7QrmtE = oVre8I6UXc3b._jdf.collectToPython()
return YyaZ4tpXu4lf(lc0dZyjrneZ2(Ixq2Ot7QrmtE, iTzlNnr82sU4(mOZhmRNFiAVs())))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.toLocalIterator
|
def toLocalIterator(self):
"""
Returns an iterator that contains all of the rows in this :class:`DataFrame`.
The iterator will consume as much memory as the largest partition in this DataFrame.
>>> list(df.toLocalIterator())
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
"""
with SCCallSiteSync(self._sc) as css:
sock_info = self._jdf.toPythonIterator()
return _load_from_socket(sock_info, BatchedSerializer(PickleSerializer()))
|
python
|
def toLocalIterator(self):
"""
Returns an iterator that contains all of the rows in this :class:`DataFrame`.
The iterator will consume as much memory as the largest partition in this DataFrame.
>>> list(df.toLocalIterator())
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
"""
with SCCallSiteSync(self._sc) as css:
sock_info = self._jdf.toPythonIterator()
return _load_from_socket(sock_info, BatchedSerializer(PickleSerializer()))
|
[
"def",
"toLocalIterator",
"(",
"self",
")",
":",
"with",
"SCCallSiteSync",
"(",
"self",
".",
"_sc",
")",
"as",
"css",
":",
"sock_info",
"=",
"self",
".",
"_jdf",
".",
"toPythonIterator",
"(",
")",
"return",
"_load_from_socket",
"(",
"sock_info",
",",
"BatchedSerializer",
"(",
"PickleSerializer",
"(",
")",
")",
")"
] |
Returns an iterator that contains all of the rows in this :class:`DataFrame`.
The iterator will consume as much memory as the largest partition in this DataFrame.
>>> list(df.toLocalIterator())
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
|
[
"Returns",
"an",
"iterator",
"that",
"contains",
"all",
"of",
"the",
"rows",
"in",
"this",
":",
"class",
":",
"DataFrame",
".",
"The",
"iterator",
"will",
"consume",
"as",
"much",
"memory",
"as",
"the",
"largest",
"partition",
"in",
"this",
"DataFrame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L521-L531
|
train
|
Returns an iterator that returns all of the rows in this DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010 + 0o1) + chr(52) + '\x35', 41939 - 41931), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(55) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x34' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + '\x36' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1011 + 0o144) + '\067' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11110 + 0o23) + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5322 - 5211) + chr(2390 - 2340) + chr(0b11110 + 0o24) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(48) + chr(0b110010 + 0o3), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b101000 + 0o10), 0o10), ehT0Px3KOsy9(chr(668 - 620) + chr(0b1010 + 0o145) + '\061' + chr(49) + chr(428 - 378), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10111 + 0o40) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(0b11001 + 0o31) + chr(0b110011) + '\x36', 19954 - 19946), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(54) + '\064', 23623 - 23615), ehT0Px3KOsy9(chr(2227 - 2179) + '\157' + chr(0b11100 + 0o26) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(52) + '\060', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\x33' + chr(0b110000) + chr(1085 - 1036), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1187 - 1137) + chr(0b110100) + chr(1227 - 1172), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o22) + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x30', 8), ehT0Px3KOsy9(chr(979 - 931) + '\x6f' + '\061' + chr(0b10001 + 0o43) + chr(1810 - 1760), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(78 - 28) + chr(0b1 + 0o65) + chr(114 - 65), 26138 - 26130), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b101001 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(49) + chr(0b10001 + 0o45) + '\065', 34382 - 34374), ehT0Px3KOsy9(chr(48) + chr(1928 - 1817) + '\063' + chr(502 - 448) + chr(51), 1952 - 1944), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(510 - 458) + chr(176 - 125), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x35' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b100111 + 0o110) + '\061' + '\x37' + chr(48), 41206 - 41198), ehT0Px3KOsy9(chr(1292 - 1244) + chr(111) + chr(1900 - 1851) + '\061' + chr(0b100000 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + '\061' + '\061' + chr(0b110 + 0o54), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(0b110010 + 0o1) + '\065' + '\x37', 0b1000), ehT0Px3KOsy9(chr(555 - 507) + chr(561 - 450) + chr(0b100111 + 0o13) + chr(0b110001) + chr(0b11000 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100101 + 0o14) + chr(0b10111 + 0o34) + chr(0b10101 + 0o35), 3694 - 3686), ehT0Px3KOsy9('\x30' + chr(7101 - 6990) + '\063' + chr(1371 - 1319), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\x33' + '\067' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b101010 + 0o10) + chr(0b110 + 0o60), 0o10), ehT0Px3KOsy9(chr(1334 - 1286) + '\x6f' + chr(51) + chr(53) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(320 - 272) + chr(0b1101111) + chr(2391 - 2340) + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\065' + chr(49), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + '\060', 29768 - 29760)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb'), '\144' + chr(0b1100101) + chr(8918 - 8819) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + chr(2810 - 2754)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ndqMABaCaJYd(oVre8I6UXc3b):
with w4BQmxaQvvMa(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba+Y'), '\144' + chr(0b1001010 + 0o33) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(9737 - 9635) + chr(0b10001 + 0o34) + '\x38'))) as Zwp12no5jgU1:
Ixq2Ot7QrmtE = oVre8I6UXc3b._jdf.toPythonIterator()
return lc0dZyjrneZ2(Ixq2Ot7QrmtE, iTzlNnr82sU4(mOZhmRNFiAVs()))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.limit
|
def limit(self, num):
"""Limits the result count to the number specified.
>>> df.limit(1).collect()
[Row(age=2, name=u'Alice')]
>>> df.limit(0).collect()
[]
"""
jdf = self._jdf.limit(num)
return DataFrame(jdf, self.sql_ctx)
|
python
|
def limit(self, num):
"""Limits the result count to the number specified.
>>> df.limit(1).collect()
[Row(age=2, name=u'Alice')]
>>> df.limit(0).collect()
[]
"""
jdf = self._jdf.limit(num)
return DataFrame(jdf, self.sql_ctx)
|
[
"def",
"limit",
"(",
"self",
",",
"num",
")",
":",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"limit",
"(",
"num",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
".",
"sql_ctx",
")"
] |
Limits the result count to the number specified.
>>> df.limit(1).collect()
[Row(age=2, name=u'Alice')]
>>> df.limit(0).collect()
[]
|
[
"Limits",
"the",
"result",
"count",
"to",
"the",
"number",
"specified",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L535-L544
|
train
|
Limits the result count to the number specified.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2186 - 2138) + chr(111) + '\x31' + chr(0b101100 + 0o13) + chr(0b1 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(50) + chr(53) + chr(579 - 528), 0b1000), ehT0Px3KOsy9(chr(747 - 699) + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110111), 8855 - 8847), ehT0Px3KOsy9(chr(865 - 817) + '\x6f' + chr(0b110010) + chr(0b110011) + chr(1464 - 1410), 29311 - 29303), ehT0Px3KOsy9(chr(1108 - 1060) + chr(4489 - 4378) + chr(0b110001) + chr(0b110110) + chr(0b110100), 29183 - 29175), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(951 - 902) + '\063' + chr(1020 - 971), 29900 - 29892), ehT0Px3KOsy9('\060' + '\x6f' + chr(166 - 117) + chr(54) + chr(0b110110), 61959 - 61951), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\065' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b101100 + 0o5) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9082 - 8971) + chr(0b110001) + chr(53) + chr(0b110011), 14565 - 14557), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(1589 - 1539) + chr(0b110000) + chr(1909 - 1860), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x31' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(53) + '\066', 27630 - 27622), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(51) + chr(0b11001 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(154 - 104) + '\064' + chr(1699 - 1645), 25034 - 25026), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110000), 28561 - 28553), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1911 - 1856) + chr(1071 - 1018), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + '\066' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(1323 - 1268), 25644 - 25636), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(49) + chr(1972 - 1922) + '\061', 43803 - 43795), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\x35' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + '\x33' + chr(0b110101) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + chr(0b100100 + 0o16) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(2181 - 2133) + '\x6f' + chr(1051 - 1001) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + '\061' + '\x34' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2799 - 2746) + '\x31', 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(1351 - 1301) + '\x32' + chr(3006 - 2951), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b100111 + 0o110) + chr(0b110010) + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\066' + chr(0b110100), 46623 - 46615), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110000) + chr(1274 - 1221), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\066' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(5406 - 5295) + chr(1635 - 1585) + chr(54) + chr(0b1010 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(2660 - 2605) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110101) + '\063', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1226 - 1176) + '\067' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b110011) + '\x33' + '\x31', 63422 - 63414), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10001 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(945 - 893), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'R'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(1172 - 1056) + '\x66' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def j8BaqiKmcR6w(oVre8I6UXc3b, jFuGPhnxN9fq):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.limit(jFuGPhnxN9fq)
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\xda\xb3\xc1\x17-\x0e'), chr(0b1100100) + chr(9906 - 9805) + chr(8183 - 8084) + '\x6f' + chr(0b1110 + 0o126) + '\x65')('\165' + chr(3169 - 3053) + chr(102) + '\x2d' + chr(2567 - 2511))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.persist
|
def persist(self, storageLevel=StorageLevel.MEMORY_AND_DISK):
"""Sets the storage level to persist the contents of the :class:`DataFrame` across
operations after the first time it is computed. This can only be used to assign
a new storage level if the :class:`DataFrame` does not have a storage level set yet.
If no storage level is specified defaults to (C{MEMORY_AND_DISK}).
.. note:: The default storage level has changed to C{MEMORY_AND_DISK} to match Scala in 2.0.
"""
self.is_cached = True
javaStorageLevel = self._sc._getJavaStorageLevel(storageLevel)
self._jdf.persist(javaStorageLevel)
return self
|
python
|
def persist(self, storageLevel=StorageLevel.MEMORY_AND_DISK):
"""Sets the storage level to persist the contents of the :class:`DataFrame` across
operations after the first time it is computed. This can only be used to assign
a new storage level if the :class:`DataFrame` does not have a storage level set yet.
If no storage level is specified defaults to (C{MEMORY_AND_DISK}).
.. note:: The default storage level has changed to C{MEMORY_AND_DISK} to match Scala in 2.0.
"""
self.is_cached = True
javaStorageLevel = self._sc._getJavaStorageLevel(storageLevel)
self._jdf.persist(javaStorageLevel)
return self
|
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"self",
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"StorageLevel",
".",
"MEMORY_AND_DISK",
")",
":",
"self",
".",
"is_cached",
"=",
"True",
"javaStorageLevel",
"=",
"self",
".",
"_sc",
".",
"_getJavaStorageLevel",
"(",
"storageLevel",
")",
"self",
".",
"_jdf",
".",
"persist",
"(",
"javaStorageLevel",
")",
"return",
"self"
] |
Sets the storage level to persist the contents of the :class:`DataFrame` across
operations after the first time it is computed. This can only be used to assign
a new storage level if the :class:`DataFrame` does not have a storage level set yet.
If no storage level is specified defaults to (C{MEMORY_AND_DISK}).
.. note:: The default storage level has changed to C{MEMORY_AND_DISK} to match Scala in 2.0.
|
[
"Sets",
"the",
"storage",
"level",
"to",
"persist",
"the",
"contents",
"of",
"the",
":",
"class",
":",
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"across",
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"time",
"it",
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".",
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"(",
"C",
"{",
"MEMORY_AND_DISK",
"}",
")",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L592-L603
|
train
|
Sets the storage level to persist the contents of the DataFrame across the first time it is computed.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(0b10010 + 0o41) + chr(0b110001) + chr(48), 64292 - 64284), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110111) + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(48) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(52) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11111 + 0o24) + chr(0b100111 + 0o16) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1442 - 1394) + '\157' + '\066' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(1803 - 1752) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(4348 - 4237) + chr(51) + chr(0b10011 + 0o42) + chr(0b1010 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1542 - 1493) + '\x37' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(479 - 431) + chr(0b1101111) + chr(0b110011) + '\x36' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b101111 + 0o4) + chr(0b1 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(173 - 123) + '\060' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(50) + chr(0b11000 + 0o35) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110011) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2299 - 2188) + chr(1716 - 1665) + chr(0b11111 + 0o26) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(2233 - 2185) + chr(9243 - 9132) + '\066' + '\060', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1308 - 1259) + chr(0b110001 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1520 - 1469) + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x33', 0o10), ehT0Px3KOsy9(chr(1175 - 1127) + '\157' + '\061' + chr(642 - 594) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b10111 + 0o31) + chr(0b1 + 0o62), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(146 - 96) + chr(2485 - 2433) + '\x32', 0o10), ehT0Px3KOsy9(chr(2250 - 2202) + chr(111) + '\x32' + chr(54) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(55), 2014 - 2006), ehT0Px3KOsy9(chr(569 - 521) + chr(5968 - 5857) + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\061' + chr(2468 - 2415) + chr(0b100011 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + chr(1520 - 1469) + '\061' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1 + 0o61) + chr(0b100000 + 0o27) + chr(0b101100 + 0o6), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(50) + chr(54) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1001110 + 0o41) + chr(0b100 + 0o55) + chr(1525 - 1476) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(51) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(0b10010 + 0o40) + chr(2475 - 2424) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(321 - 273) + chr(3185 - 3074) + '\061' + chr(726 - 675) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b100000 + 0o20) + chr(2451 - 2396), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b110110 + 0o71) + '\x31' + chr(2264 - 2213) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b110 + 0o55) + '\x30' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + '\066' + chr(0b10110 + 0o36), 0o10), ehT0Px3KOsy9(chr(1467 - 1419) + chr(111) + chr(0b110001) + '\x37' + chr(1532 - 1481), 0b1000), ehT0Px3KOsy9('\060' + chr(8393 - 8282) + '\062' + chr(1068 - 1018) + chr(49), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1001000 + 0o47) + '\065' + chr(48), 29038 - 29030)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6'), chr(0b111011 + 0o51) + chr(101) + chr(0b100001 + 0o102) + chr(7724 - 7613) + chr(1568 - 1468) + '\145')(chr(0b1101000 + 0o15) + chr(0b1001111 + 0o45) + chr(7520 - 7418) + chr(0b1111 + 0o36) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ffhTFjRzfWuu(oVre8I6UXc3b, J4VefmJfXQom=xafqLlk3kkUe(g19K3WjrkBpA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\xbf\xcem\xbai\x05\xab0\xb2B\xc1\xe4\x0f\xa0'), '\144' + '\145' + chr(99) + chr(0b1011101 + 0o22) + chr(0b1100100) + chr(0b1010010 + 0o23))('\x75' + '\x74' + '\x66' + '\055' + '\070'))):
oVre8I6UXc3b.AMU28eGTfjIH = ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(1776 - 1727), 0o10)
w7W9_exEG8V4 = oVre8I6UXc3b._sc._getJavaStorageLevel(J4VefmJfXQom)
xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x9f\xf1Q\x81C.'), chr(1183 - 1083) + '\x65' + '\x63' + '\157' + '\x64' + '\145')(chr(13405 - 13288) + '\x74' + '\146' + chr(45) + chr(279 - 223)))(w7W9_exEG8V4)
return oVre8I6UXc3b
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.storageLevel
|
def storageLevel(self):
"""Get the :class:`DataFrame`'s current storage level.
>>> df.storageLevel
StorageLevel(False, False, False, False, 1)
>>> df.cache().storageLevel
StorageLevel(True, True, False, True, 1)
>>> df2.persist(StorageLevel.DISK_ONLY_2).storageLevel
StorageLevel(True, False, False, False, 2)
"""
java_storage_level = self._jdf.storageLevel()
storage_level = StorageLevel(java_storage_level.useDisk(),
java_storage_level.useMemory(),
java_storage_level.useOffHeap(),
java_storage_level.deserialized(),
java_storage_level.replication())
return storage_level
|
python
|
def storageLevel(self):
"""Get the :class:`DataFrame`'s current storage level.
>>> df.storageLevel
StorageLevel(False, False, False, False, 1)
>>> df.cache().storageLevel
StorageLevel(True, True, False, True, 1)
>>> df2.persist(StorageLevel.DISK_ONLY_2).storageLevel
StorageLevel(True, False, False, False, 2)
"""
java_storage_level = self._jdf.storageLevel()
storage_level = StorageLevel(java_storage_level.useDisk(),
java_storage_level.useMemory(),
java_storage_level.useOffHeap(),
java_storage_level.deserialized(),
java_storage_level.replication())
return storage_level
|
[
"def",
"storageLevel",
"(",
"self",
")",
":",
"java_storage_level",
"=",
"self",
".",
"_jdf",
".",
"storageLevel",
"(",
")",
"storage_level",
"=",
"StorageLevel",
"(",
"java_storage_level",
".",
"useDisk",
"(",
")",
",",
"java_storage_level",
".",
"useMemory",
"(",
")",
",",
"java_storage_level",
".",
"useOffHeap",
"(",
")",
",",
"java_storage_level",
".",
"deserialized",
"(",
")",
",",
"java_storage_level",
".",
"replication",
"(",
")",
")",
"return",
"storage_level"
] |
Get the :class:`DataFrame`'s current storage level.
>>> df.storageLevel
StorageLevel(False, False, False, False, 1)
>>> df.cache().storageLevel
StorageLevel(True, True, False, True, 1)
>>> df2.persist(StorageLevel.DISK_ONLY_2).storageLevel
StorageLevel(True, False, False, False, 2)
|
[
"Get",
"the",
":",
"class",
":",
"DataFrame",
"s",
"current",
"storage",
"level",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L607-L623
|
train
|
Get the current storage level of the DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\062' + chr(0b11 + 0o61), 0o10), ehT0Px3KOsy9(chr(1253 - 1205) + '\x6f' + chr(51) + '\x31' + chr(577 - 524), ord("\x08")), ehT0Px3KOsy9(chr(1858 - 1810) + chr(111) + chr(51) + '\x32' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + '\062' + chr(0b10111 + 0o31) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(54) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110000) + '\x33', 35543 - 35535), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1253 - 1203) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\061' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(51) + chr(0b110001 + 0o1) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2257 - 2208) + '\x37' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\062' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110010) + chr(0b101101 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(51) + chr(1552 - 1503) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(286 - 235) + chr(52) + chr(857 - 803), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b110100 + 0o73) + chr(783 - 734) + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(48) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1099 - 1051) + chr(0b1101111) + chr(49) + chr(0b110011) + chr(0b101011 + 0o5), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(705 - 654) + chr(167 - 116) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10110 + 0o40), 60857 - 60849), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(50) + chr(0b110101 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(0b110001 + 0o2) + chr(0b101010 + 0o15) + chr(1704 - 1656), 50480 - 50472), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(1412 - 1363) + chr(0b110101) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1001000 + 0o47) + chr(822 - 772) + chr(0b110101) + chr(831 - 780), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(1628 - 1577) + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2342 - 2293) + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + '\x32' + chr(1424 - 1375) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6813 - 6702) + '\x34' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(2202 - 2153) + chr(979 - 927) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + '\061', 8), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b11111 + 0o24) + chr(0b11101 + 0o25) + '\064', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b110011) + '\x37' + chr(2926 - 2871), 8), ehT0Px3KOsy9(chr(1170 - 1122) + '\157' + '\063' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(183 - 132) + chr(0b1101 + 0o47) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(7946 - 7835) + '\x32' + '\x36' + chr(0b101 + 0o60), 41587 - 41579), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o7) + chr(53) + chr(1738 - 1690), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b101001 + 0o106) + '\x31' + chr(0b110000) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(51) + '\x33', 26856 - 26848)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1809 - 1761) + chr(0b1110 + 0o141) + chr(0b101111 + 0o6) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xba'), chr(108 - 8) + chr(0b1100101) + chr(99) + chr(0b100011 + 0o114) + chr(0b1100100) + chr(2223 - 2122))(chr(117) + chr(0b1110100) + chr(0b1100000 + 0o6) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def J4VefmJfXQom(oVre8I6UXc3b):
pfWLIrKVBchh = oVre8I6UXc3b._jdf.storageLevel()
Oxm6uo65bAiF = g19K3WjrkBpA(pfWLIrKVBchh.useDisk(), pfWLIrKVBchh.useMemory(), pfWLIrKVBchh.useOffHeap(), pfWLIrKVBchh.deserialized(), pfWLIrKVBchh.replication())
return Oxm6uo65bAiF
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.unpersist
|
def unpersist(self, blocking=False):
"""Marks the :class:`DataFrame` as non-persistent, and remove all blocks for it from
memory and disk.
.. note:: `blocking` default has changed to False to match Scala in 2.0.
"""
self.is_cached = False
self._jdf.unpersist(blocking)
return self
|
python
|
def unpersist(self, blocking=False):
"""Marks the :class:`DataFrame` as non-persistent, and remove all blocks for it from
memory and disk.
.. note:: `blocking` default has changed to False to match Scala in 2.0.
"""
self.is_cached = False
self._jdf.unpersist(blocking)
return self
|
[
"def",
"unpersist",
"(",
"self",
",",
"blocking",
"=",
"False",
")",
":",
"self",
".",
"is_cached",
"=",
"False",
"self",
".",
"_jdf",
".",
"unpersist",
"(",
"blocking",
")",
"return",
"self"
] |
Marks the :class:`DataFrame` as non-persistent, and remove all blocks for it from
memory and disk.
.. note:: `blocking` default has changed to False to match Scala in 2.0.
|
[
"Marks",
"the",
":",
"class",
":",
"DataFrame",
"as",
"non",
"-",
"persistent",
"and",
"remove",
"all",
"blocks",
"for",
"it",
"from",
"memory",
"and",
"disk",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L626-L634
|
train
|
Marks the DataFrame as non - persistent and remove all blocks for it from memory and disk.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(1589 - 1540), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1800 - 1749) + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o53) + chr(0b11101 + 0o23) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1001010 + 0o45) + chr(0b110011) + chr(514 - 460) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(192 - 144) + chr(0b101100 + 0o103) + '\x36' + chr(1855 - 1806), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111110 + 0o61) + '\x31' + chr(0b110111) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\066' + chr(0b11101 + 0o32), 5851 - 5843), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x30' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1809 - 1761) + chr(8249 - 8138) + '\x33' + chr(0b101110 + 0o10) + chr(50), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(2002 - 1951) + '\x31' + '\x35', 46582 - 46574), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1101 + 0o44) + chr(0b1010 + 0o52) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101100 + 0o3) + chr(50) + '\x31' + chr(52), 37378 - 37370), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110011) + chr(1751 - 1700) + chr(187 - 139), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x31' + chr(0b110101) + chr(2499 - 2448), 22399 - 22391), ehT0Px3KOsy9(chr(2006 - 1958) + '\x6f' + chr(0b10110 + 0o34) + chr(763 - 712) + chr(0b110100 + 0o0), 38018 - 38010), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(0b110011) + '\060' + chr(280 - 229), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b100001 + 0o20) + chr(0b11 + 0o64), 37425 - 37417), ehT0Px3KOsy9('\060' + chr(1133 - 1022) + '\062' + '\x33' + chr(0b1110 + 0o46), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1431 - 1381) + chr(0b1111 + 0o45) + '\x33', 38793 - 38785), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110010), 27662 - 27654), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(50) + '\x35' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11001 + 0o31) + chr(0b11001 + 0o35) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\x35' + '\x35', 35948 - 35940), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110001) + chr(0b100011 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1038 - 988) + chr(0b110110) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(2202 - 2151) + chr(1354 - 1306), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x37' + chr(0b101101 + 0o7), 0o10), ehT0Px3KOsy9(chr(2069 - 2021) + '\x6f' + '\063' + chr(54) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\064' + chr(838 - 788), 0b1000), ehT0Px3KOsy9(chr(627 - 579) + chr(0b1101111) + chr(0b110001) + chr(0b110110) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(55) + chr(1980 - 1931), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(1635 - 1586) + chr(0b10 + 0o62) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1510 - 1462) + '\157' + chr(0b1000 + 0o53) + chr(2204 - 2156) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10110 + 0o34) + chr(1703 - 1649) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b11111 + 0o27) + '\x34', 14014 - 14006), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110010) + chr(53) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(443 - 392) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2159 - 2111) + chr(0b10101 + 0o132) + '\x32' + '\x31' + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(272 - 161) + chr(0b110001) + chr(1454 - 1404), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(1665 - 1613) + chr(0b10110 + 0o37), 59454 - 59446)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\x35' + chr(0b1101 + 0o43), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'7'), chr(7898 - 7798) + chr(0b11010 + 0o113) + chr(0b1011001 + 0o12) + chr(6557 - 6446) + '\x64' + '\145')('\165' + chr(116) + '\x66' + chr(1854 - 1809) + chr(591 - 535)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aKcmsNd6yhu_(oVre8I6UXc3b, uiLw8bUEXxt6=ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1 + 0o57), 0o10)):
oVre8I6UXc3b.AMU28eGTfjIH = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8)
xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'l\xba\xf3\x97C\x0e\x9e2\x86'), chr(100) + chr(0b11101 + 0o110) + '\143' + '\157' + chr(0b101011 + 0o71) + chr(0b1100101))(chr(117) + chr(0b1100001 + 0o23) + chr(0b1010001 + 0o25) + chr(0b10010 + 0o33) + chr(692 - 636)))(uiLw8bUEXxt6)
return oVre8I6UXc3b
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.coalesce
|
def coalesce(self, numPartitions):
"""
Returns a new :class:`DataFrame` that has exactly `numPartitions` partitions.
:param numPartitions: int, to specify the target number of partitions
Similar to coalesce defined on an :class:`RDD`, this operation results in a
narrow dependency, e.g. if you go from 1000 partitions to 100 partitions,
there will not be a shuffle, instead each of the 100 new partitions will
claim 10 of the current partitions. If a larger number of partitions is requested,
it will stay at the current number of partitions.
However, if you're doing a drastic coalesce, e.g. to numPartitions = 1,
this may result in your computation taking place on fewer nodes than
you like (e.g. one node in the case of numPartitions = 1). To avoid this,
you can call repartition(). This will add a shuffle step, but means the
current upstream partitions will be executed in parallel (per whatever
the current partitioning is).
>>> df.coalesce(1).rdd.getNumPartitions()
1
"""
return DataFrame(self._jdf.coalesce(numPartitions), self.sql_ctx)
|
python
|
def coalesce(self, numPartitions):
"""
Returns a new :class:`DataFrame` that has exactly `numPartitions` partitions.
:param numPartitions: int, to specify the target number of partitions
Similar to coalesce defined on an :class:`RDD`, this operation results in a
narrow dependency, e.g. if you go from 1000 partitions to 100 partitions,
there will not be a shuffle, instead each of the 100 new partitions will
claim 10 of the current partitions. If a larger number of partitions is requested,
it will stay at the current number of partitions.
However, if you're doing a drastic coalesce, e.g. to numPartitions = 1,
this may result in your computation taking place on fewer nodes than
you like (e.g. one node in the case of numPartitions = 1). To avoid this,
you can call repartition(). This will add a shuffle step, but means the
current upstream partitions will be executed in parallel (per whatever
the current partitioning is).
>>> df.coalesce(1).rdd.getNumPartitions()
1
"""
return DataFrame(self._jdf.coalesce(numPartitions), self.sql_ctx)
|
[
"def",
"coalesce",
"(",
"self",
",",
"numPartitions",
")",
":",
"return",
"DataFrame",
"(",
"self",
".",
"_jdf",
".",
"coalesce",
"(",
"numPartitions",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Returns a new :class:`DataFrame` that has exactly `numPartitions` partitions.
:param numPartitions: int, to specify the target number of partitions
Similar to coalesce defined on an :class:`RDD`, this operation results in a
narrow dependency, e.g. if you go from 1000 partitions to 100 partitions,
there will not be a shuffle, instead each of the 100 new partitions will
claim 10 of the current partitions. If a larger number of partitions is requested,
it will stay at the current number of partitions.
However, if you're doing a drastic coalesce, e.g. to numPartitions = 1,
this may result in your computation taking place on fewer nodes than
you like (e.g. one node in the case of numPartitions = 1). To avoid this,
you can call repartition(). This will add a shuffle step, but means the
current upstream partitions will be executed in parallel (per whatever
the current partitioning is).
>>> df.coalesce(1).rdd.getNumPartitions()
1
|
[
"Returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"that",
"has",
"exactly",
"numPartitions",
"partitions",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L637-L659
|
train
|
Returns a new DataFrame that has exactly numPartitions partitions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + '\x31' + chr(0b110011) + chr(1380 - 1332), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8934 - 8823) + '\x36' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\062' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(2138 - 2084) + '\066', 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(0b110001) + chr(914 - 861) + chr(98 - 45), 64453 - 64445), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + chr(1527 - 1478), 23175 - 23167), ehT0Px3KOsy9('\060' + chr(111) + chr(777 - 728) + '\065' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(49) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(722 - 611) + '\x33' + '\x36' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b100010 + 0o115) + chr(54) + chr(0b10010 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(5847 - 5736) + chr(50) + chr(53) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3512 - 3401) + chr(0b110101) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1764 - 1716) + chr(0b1101111) + chr(0b100101 + 0o16) + '\x31' + chr(1740 - 1691), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(50) + chr(51) + chr(48), 30945 - 30937), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x35' + chr(55), 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b100 + 0o153) + '\x31' + '\x35', 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\061' + chr(0b110111) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100001 + 0o20) + chr(51) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + chr(9451 - 9340) + chr(0b101000 + 0o11) + '\064' + '\066', 24304 - 24296), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(6423 - 6312) + '\062' + chr(0b10 + 0o61) + chr(0b110000), 8), ehT0Px3KOsy9(chr(1300 - 1252) + chr(111) + chr(181 - 131) + chr(2789 - 2734) + chr(1443 - 1393), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1061 - 1011) + chr(0b11001 + 0o33) + chr(2207 - 2153), 38251 - 38243), ehT0Px3KOsy9('\x30' + '\x6f' + chr(467 - 417) + '\x36' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1000111 + 0o50) + '\x33' + chr(739 - 690) + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110 + 0o53) + chr(50) + chr(2070 - 2018), 58508 - 58500), ehT0Px3KOsy9(chr(51 - 3) + chr(111) + chr(0b10 + 0o57) + '\064' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b101001 + 0o106) + '\x33' + chr(0b1000 + 0o54) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110 + 0o56), 16857 - 16849), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(1772 - 1722) + '\066' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1952 - 1901) + chr(1762 - 1714) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(1522 - 1473) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10011 + 0o37) + chr(55) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10110 + 0o33) + chr(0b110110) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110000) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(55) + chr(2478 - 2426), 36262 - 36254), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(8176 - 8065) + chr(1085 - 1035) + chr(0b11 + 0o57), 63228 - 63220), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110110 + 0o1) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(1281 - 1233) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'v'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(8532 - 8432) + chr(101))(chr(0b111 + 0o156) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def G6ZbFlfL5kEw(oVre8I6UXc3b, Q9o8DFLjAoB0):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b';Y\xb3Z\x08J\rh'), chr(1975 - 1875) + '\145' + '\x63' + chr(111) + '\x64' + chr(10014 - 9913))('\x75' + '\x74' + '\x66' + chr(0b101101) + chr(56)))(Q9o8DFLjAoB0), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'+G\xbei\x0eM\x16'), chr(0b1100100) + '\145' + chr(8930 - 8831) + chr(0b11 + 0o154) + '\x64' + chr(0b1000100 + 0o41))('\165' + chr(359 - 243) + '\x66' + '\x2d' + '\x38')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.repartition
|
def repartition(self, numPartitions, *cols):
"""
Returns a new :class:`DataFrame` partitioned by the given partitioning expressions. The
resulting DataFrame is hash partitioned.
:param numPartitions:
can be an int to specify the target number of partitions or a Column.
If it is a Column, it will be used as the first partitioning column. If not specified,
the default number of partitions is used.
.. versionchanged:: 1.6
Added optional arguments to specify the partitioning columns. Also made numPartitions
optional if partitioning columns are specified.
>>> df.repartition(10).rdd.getNumPartitions()
10
>>> data = df.union(df).repartition("age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 5| Bob|
| 5| Bob|
| 2|Alice|
| 2|Alice|
+---+-----+
>>> data = data.repartition(7, "age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
| 2|Alice|
| 5| Bob|
+---+-----+
>>> data.rdd.getNumPartitions()
7
>>> data = data.repartition("name", "age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 5| Bob|
| 5| Bob|
| 2|Alice|
| 2|Alice|
+---+-----+
"""
if isinstance(numPartitions, int):
if len(cols) == 0:
return DataFrame(self._jdf.repartition(numPartitions), self.sql_ctx)
else:
return DataFrame(
self._jdf.repartition(numPartitions, self._jcols(*cols)), self.sql_ctx)
elif isinstance(numPartitions, (basestring, Column)):
cols = (numPartitions, ) + cols
return DataFrame(self._jdf.repartition(self._jcols(*cols)), self.sql_ctx)
else:
raise TypeError("numPartitions should be an int or Column")
|
python
|
def repartition(self, numPartitions, *cols):
"""
Returns a new :class:`DataFrame` partitioned by the given partitioning expressions. The
resulting DataFrame is hash partitioned.
:param numPartitions:
can be an int to specify the target number of partitions or a Column.
If it is a Column, it will be used as the first partitioning column. If not specified,
the default number of partitions is used.
.. versionchanged:: 1.6
Added optional arguments to specify the partitioning columns. Also made numPartitions
optional if partitioning columns are specified.
>>> df.repartition(10).rdd.getNumPartitions()
10
>>> data = df.union(df).repartition("age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 5| Bob|
| 5| Bob|
| 2|Alice|
| 2|Alice|
+---+-----+
>>> data = data.repartition(7, "age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
| 2|Alice|
| 5| Bob|
+---+-----+
>>> data.rdd.getNumPartitions()
7
>>> data = data.repartition("name", "age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 5| Bob|
| 5| Bob|
| 2|Alice|
| 2|Alice|
+---+-----+
"""
if isinstance(numPartitions, int):
if len(cols) == 0:
return DataFrame(self._jdf.repartition(numPartitions), self.sql_ctx)
else:
return DataFrame(
self._jdf.repartition(numPartitions, self._jcols(*cols)), self.sql_ctx)
elif isinstance(numPartitions, (basestring, Column)):
cols = (numPartitions, ) + cols
return DataFrame(self._jdf.repartition(self._jcols(*cols)), self.sql_ctx)
else:
raise TypeError("numPartitions should be an int or Column")
|
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"raise",
"TypeError",
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"\"numPartitions should be an int or Column\"",
")"
] |
Returns a new :class:`DataFrame` partitioned by the given partitioning expressions. The
resulting DataFrame is hash partitioned.
:param numPartitions:
can be an int to specify the target number of partitions or a Column.
If it is a Column, it will be used as the first partitioning column. If not specified,
the default number of partitions is used.
.. versionchanged:: 1.6
Added optional arguments to specify the partitioning columns. Also made numPartitions
optional if partitioning columns are specified.
>>> df.repartition(10).rdd.getNumPartitions()
10
>>> data = df.union(df).repartition("age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 5| Bob|
| 5| Bob|
| 2|Alice|
| 2|Alice|
+---+-----+
>>> data = data.repartition(7, "age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
| 2|Alice|
| 5| Bob|
+---+-----+
>>> data.rdd.getNumPartitions()
7
>>> data = data.repartition("name", "age")
>>> data.show()
+---+-----+
|age| name|
+---+-----+
| 5| Bob|
| 5| Bob|
| 2|Alice|
| 2|Alice|
+---+-----+
|
[
"Returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"partitioned",
"by",
"the",
"given",
"partitioning",
"expressions",
".",
"The",
"resulting",
"DataFrame",
"is",
"hash",
"partitioned",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L662-L721
|
train
|
Returns a new DataFrame with the given number of partitions and the given columns.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b110111 + 0o70) + '\x31' + chr(0b10011 + 0o44) + '\x31', 54702 - 54694), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(54) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b110011) + chr(0b100010 + 0o16) + chr(0b101100 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(177 - 129) + '\x6f' + '\061' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(634 - 586) + chr(111) + chr(0b10 + 0o61) + chr(0b110110) + chr(1173 - 1125), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110010) + chr(1982 - 1928), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\x32' + '\064' + '\x34', 0b1000), ehT0Px3KOsy9(chr(1200 - 1152) + chr(8791 - 8680) + chr(0b110110) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(0b110001) + chr(0b10000 + 0o40) + chr(779 - 725), 32456 - 32448), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(51) + chr(2295 - 2243), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4629 - 4518) + chr(0b110111) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\061' + chr(0b100101 + 0o15) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x31' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + '\x37', 37288 - 37280), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\x33' + '\067', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(52) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o54) + '\x34' + chr(1082 - 1029), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1393 - 1342) + chr(1111 - 1061) + chr(2409 - 2355), 27715 - 27707), ehT0Px3KOsy9(chr(1455 - 1407) + '\157' + chr(0b101000 + 0o13) + '\066' + chr(48), 8), ehT0Px3KOsy9(chr(1733 - 1685) + chr(0b1101111) + chr(805 - 754) + '\060' + chr(49), 0o10), ehT0Px3KOsy9(chr(647 - 599) + chr(0b10010 + 0o135) + '\063' + chr(0b1 + 0o62) + chr(2012 - 1964), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x31' + chr(1937 - 1882), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\061' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110000) + chr(0b11001 + 0o34), 11055 - 11047), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1604 - 1553) + '\061' + chr(0b110001 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(472 - 421) + chr(0b1000 + 0o52) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110110) + chr(0b10100 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(11240 - 11129) + chr(0b11011 + 0o30) + '\x32' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6066 - 5955) + '\063' + chr(52) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1120 - 1072) + chr(0b1010001 + 0o36) + chr(0b101010 + 0o10) + '\x34' + chr(49), 0o10), ehT0Px3KOsy9(chr(2144 - 2096) + chr(0b1101111) + '\x32' + '\066', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b1101 + 0o44) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110100) + chr(1313 - 1260), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + '\x33' + chr(0b110010) + chr(0b11011 + 0o27), 34510 - 34502), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(51) + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1011 + 0o144) + chr(0b110011) + chr(0b110110), 11241 - 11233), ehT0Px3KOsy9(chr(48) + chr(111) + chr(54) + '\x34', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(2076 - 2021) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(49), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1817 - 1769) + chr(0b1101111) + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'W'), chr(0b11011 + 0o111) + chr(0b1100101) + '\x63' + chr(111) + chr(4305 - 4205) + chr(0b1100101))(chr(117) + chr(0b10100 + 0o140) + chr(9426 - 9324) + chr(1943 - 1898) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Qgg73NT6Bv3v(oVre8I6UXc3b, Q9o8DFLjAoB0, *AIgvIWQd9onz):
if PlSM16l2KDPD(Q9o8DFLjAoB0, ehT0Px3KOsy9):
if c2A0yzQpDQB3(AIgvIWQd9onz) == ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\060', 40679 - 40671):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0bT\xb7l\x82\xe2\xcd@\x7f)2'), chr(3644 - 3544) + chr(4501 - 4400) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(0b10000 + 0o35) + chr(0b11110 + 0o32)))(Q9o8DFLjAoB0), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n@\xabR\x93\xe2\xdc'), chr(100) + '\x65' + chr(0b101001 + 0o72) + '\157' + chr(0b100010 + 0o102) + chr(0b1001001 + 0o34))('\165' + chr(0b1110100) + '\x66' + '\055' + chr(56))))
else:
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0bT\xb7l\x82\xe2\xcd@\x7f)2'), chr(0b1100100) + chr(0b0 + 0o145) + chr(4388 - 4289) + '\157' + '\144' + chr(0b1100101))('\x75' + chr(116) + '\146' + chr(45) + chr(0b111000)))(Q9o8DFLjAoB0, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'&[\xa4b\x9c\xe5'), chr(100) + '\145' + chr(8752 - 8653) + chr(5060 - 4949) + chr(100) + chr(0b1001010 + 0o33))('\165' + '\164' + chr(2154 - 2052) + '\x2d' + '\070'))(*AIgvIWQd9onz)), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n@\xabR\x93\xe2\xdc'), chr(0b1100100) + chr(3778 - 3677) + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b100110 + 0o100) + '\x2d' + chr(2105 - 2049))))
elif PlSM16l2KDPD(Q9o8DFLjAoB0, (YUHmwdgm0K2P, fPAxuGjPVbis)):
AIgvIWQd9onz = (Q9o8DFLjAoB0,) + AIgvIWQd9onz
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0bT\xb7l\x82\xe2\xcd@\x7f)2'), chr(0b10011 + 0o121) + '\x65' + '\x63' + chr(111) + '\144' + '\145')(chr(1945 - 1828) + chr(116) + chr(102) + chr(45) + chr(1710 - 1654)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'&[\xa4b\x9c\xe5'), chr(0b1000011 + 0o41) + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(5104 - 4987) + chr(116) + chr(0b1100110) + '\055' + chr(2663 - 2607)))(*AIgvIWQd9onz)), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n@\xabR\x93\xe2\xdc'), chr(0b1100100) + '\x65' + chr(0b1011001 + 0o12) + chr(0b1000010 + 0o55) + chr(0b111 + 0o135) + chr(2522 - 2421))('\165' + '\164' + '\x66' + chr(0b10011 + 0o32) + '\x38')))
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x17D\xaa]\x91\xe4\xd0]b/3V \xe8LwN\xd0\xba\x94\xe1\xba\xean$\xa7\xf5\x98\xb9\x91\x81y\xb9E\x91\x9brA\x93G'), chr(0b1011100 + 0o10) + chr(0b1100101) + chr(4981 - 4882) + chr(12016 - 11905) + chr(4302 - 4202) + '\145')('\x75' + '\x74' + chr(0b1100110 + 0o0) + chr(0b101101) + chr(0b111000)))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.sample
|
def sample(self, withReplacement=None, fraction=None, seed=None):
"""Returns a sampled subset of this :class:`DataFrame`.
:param withReplacement: Sample with replacement or not (default False).
:param fraction: Fraction of rows to generate, range [0.0, 1.0].
:param seed: Seed for sampling (default a random seed).
.. note:: This is not guaranteed to provide exactly the fraction specified of the total
count of the given :class:`DataFrame`.
.. note:: `fraction` is required and, `withReplacement` and `seed` are optional.
>>> df = spark.range(10)
>>> df.sample(0.5, 3).count()
7
>>> df.sample(fraction=0.5, seed=3).count()
7
>>> df.sample(withReplacement=True, fraction=0.5, seed=3).count()
1
>>> df.sample(1.0).count()
10
>>> df.sample(fraction=1.0).count()
10
>>> df.sample(False, fraction=1.0).count()
10
"""
# For the cases below:
# sample(True, 0.5 [, seed])
# sample(True, fraction=0.5 [, seed])
# sample(withReplacement=False, fraction=0.5 [, seed])
is_withReplacement_set = \
type(withReplacement) == bool and isinstance(fraction, float)
# For the case below:
# sample(faction=0.5 [, seed])
is_withReplacement_omitted_kwargs = \
withReplacement is None and isinstance(fraction, float)
# For the case below:
# sample(0.5 [, seed])
is_withReplacement_omitted_args = isinstance(withReplacement, float)
if not (is_withReplacement_set
or is_withReplacement_omitted_kwargs
or is_withReplacement_omitted_args):
argtypes = [
str(type(arg)) for arg in [withReplacement, fraction, seed] if arg is not None]
raise TypeError(
"withReplacement (optional), fraction (required) and seed (optional)"
" should be a bool, float and number; however, "
"got [%s]." % ", ".join(argtypes))
if is_withReplacement_omitted_args:
if fraction is not None:
seed = fraction
fraction = withReplacement
withReplacement = None
seed = long(seed) if seed is not None else None
args = [arg for arg in [withReplacement, fraction, seed] if arg is not None]
jdf = self._jdf.sample(*args)
return DataFrame(jdf, self.sql_ctx)
|
python
|
def sample(self, withReplacement=None, fraction=None, seed=None):
"""Returns a sampled subset of this :class:`DataFrame`.
:param withReplacement: Sample with replacement or not (default False).
:param fraction: Fraction of rows to generate, range [0.0, 1.0].
:param seed: Seed for sampling (default a random seed).
.. note:: This is not guaranteed to provide exactly the fraction specified of the total
count of the given :class:`DataFrame`.
.. note:: `fraction` is required and, `withReplacement` and `seed` are optional.
>>> df = spark.range(10)
>>> df.sample(0.5, 3).count()
7
>>> df.sample(fraction=0.5, seed=3).count()
7
>>> df.sample(withReplacement=True, fraction=0.5, seed=3).count()
1
>>> df.sample(1.0).count()
10
>>> df.sample(fraction=1.0).count()
10
>>> df.sample(False, fraction=1.0).count()
10
"""
# For the cases below:
# sample(True, 0.5 [, seed])
# sample(True, fraction=0.5 [, seed])
# sample(withReplacement=False, fraction=0.5 [, seed])
is_withReplacement_set = \
type(withReplacement) == bool and isinstance(fraction, float)
# For the case below:
# sample(faction=0.5 [, seed])
is_withReplacement_omitted_kwargs = \
withReplacement is None and isinstance(fraction, float)
# For the case below:
# sample(0.5 [, seed])
is_withReplacement_omitted_args = isinstance(withReplacement, float)
if not (is_withReplacement_set
or is_withReplacement_omitted_kwargs
or is_withReplacement_omitted_args):
argtypes = [
str(type(arg)) for arg in [withReplacement, fraction, seed] if arg is not None]
raise TypeError(
"withReplacement (optional), fraction (required) and seed (optional)"
" should be a bool, float and number; however, "
"got [%s]." % ", ".join(argtypes))
if is_withReplacement_omitted_args:
if fraction is not None:
seed = fraction
fraction = withReplacement
withReplacement = None
seed = long(seed) if seed is not None else None
args = [arg for arg in [withReplacement, fraction, seed] if arg is not None]
jdf = self._jdf.sample(*args)
return DataFrame(jdf, self.sql_ctx)
|
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] |
Returns a sampled subset of this :class:`DataFrame`.
:param withReplacement: Sample with replacement or not (default False).
:param fraction: Fraction of rows to generate, range [0.0, 1.0].
:param seed: Seed for sampling (default a random seed).
.. note:: This is not guaranteed to provide exactly the fraction specified of the total
count of the given :class:`DataFrame`.
.. note:: `fraction` is required and, `withReplacement` and `seed` are optional.
>>> df = spark.range(10)
>>> df.sample(0.5, 3).count()
7
>>> df.sample(fraction=0.5, seed=3).count()
7
>>> df.sample(withReplacement=True, fraction=0.5, seed=3).count()
1
>>> df.sample(1.0).count()
10
>>> df.sample(fraction=1.0).count()
10
>>> df.sample(False, fraction=1.0).count()
10
|
[
"Returns",
"a",
"sampled",
"subset",
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":",
"class",
":",
"DataFrame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L784-L846
|
train
|
Returns a sampled subset of this DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(2010 - 1958) + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2013 - 1963) + '\x34' + chr(2297 - 2243), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(1131 - 1080) + '\x31' + '\x35', 46010 - 46002), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(485 - 434) + chr(552 - 502), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b110110 + 0o71) + chr(0b100110 + 0o15) + chr(0b101110 + 0o7) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(53) + chr(0b1001 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2965 - 2854) + '\067' + chr(1029 - 980), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\062' + chr(0b1010 + 0o52) + chr(1908 - 1860), 23513 - 23505), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + chr(314 - 261), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\064' + '\x35', 13014 - 13006), ehT0Px3KOsy9('\060' + chr(357 - 246) + chr(49) + chr(2621 - 2566) + chr(0b101101 + 0o6), 12109 - 12101), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(2500 - 2447) + chr(0b11110 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1130 - 1079) + '\x36' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x33' + chr(0b11101 + 0o23), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1901 - 1848) + chr(0b1111 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1929 - 1880) + chr(0b110101) + '\063', 48525 - 48517), ehT0Px3KOsy9(chr(1135 - 1087) + chr(4679 - 4568) + '\x31' + chr(1912 - 1862) + chr(0b10101 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(655 - 544) + chr(0b110001) + chr(0b110010) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(2159 - 2110) + chr(53) + chr(570 - 517), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(2179 - 2129) + chr(0b1110 + 0o51), 26391 - 26383), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110010) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o11) + chr(720 - 669) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + '\061' + chr(0b110000) + chr(0b110001), 5503 - 5495), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + '\062' + chr(0b1001 + 0o51) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\062' + chr(0b110010), 19618 - 19610), ehT0Px3KOsy9(chr(48) + chr(5893 - 5782) + chr(0b110011) + '\x36' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(7799 - 7688) + chr(0b100010 + 0o21) + chr(0b101100 + 0o7) + '\067', 1251 - 1243), ehT0Px3KOsy9('\060' + chr(6667 - 6556) + '\064' + '\065', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101111 + 0o2) + chr(0b110001) + chr(51), 35730 - 35722), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(251 - 196), 35278 - 35270), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101110 + 0o5) + '\061' + chr(52), 44524 - 44516), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(799 - 745), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(937 - 887), 29470 - 29462), ehT0Px3KOsy9('\x30' + chr(111) + chr(52) + chr(0b10010 + 0o43), 8), ehT0Px3KOsy9(chr(1941 - 1893) + chr(3300 - 3189) + chr(51) + '\067' + chr(0b10110 + 0o40), 58616 - 58608), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b11101 + 0o25), 0b1000), ehT0Px3KOsy9(chr(1619 - 1571) + chr(0b1100111 + 0o10) + chr(0b101001 + 0o12) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12168 - 12057) + chr(0b110011) + chr(2226 - 2174), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(876 - 828) + '\157' + chr(53) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e'), '\144' + chr(9933 - 9832) + chr(1067 - 968) + '\157' + chr(100) + '\145')(chr(0b110110 + 0o77) + '\x74' + chr(102) + chr(0b101101) + chr(0b110010 + 0o6)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aBu4gMMQp6Jg(oVre8I6UXc3b, YuZ1hKvpdMa2=None, lzJ7wq_4oCYO=None, cEhryM0YPR0h=None):
qAlzzcai1xgA = PlSM16l2KDPD(YuZ1hKvpdMa2, WbBjf8Y7v9VN) and PlSM16l2KDPD(lzJ7wq_4oCYO, kkSX4ccExqw4)
NQA6Be38JxRg = YuZ1hKvpdMa2 is None and PlSM16l2KDPD(lzJ7wq_4oCYO, kkSX4ccExqw4)
BZww5yRyoHO6 = PlSM16l2KDPD(YuZ1hKvpdMa2, kkSX4ccExqw4)
if not (qAlzzcai1xgA or NQA6Be38JxRg or BZww5yRyoHO6):
rcU5ezoqJScf = [M8_cKLkHVB2V(wmQmyeWBmUpv(LTE9MPUbqSos)) for LTE9MPUbqSos in [YuZ1hKvpdMa2, lzJ7wq_4oCYO, cEhryM0YPR0h] if LTE9MPUbqSos is not None]
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'W\xcf\xb9\xb2\xbc\x89I\xccTF\x1e\xc6\x96\xf6ZK|:\x1d\xa3\xbd\xd11 \xf8\xbb\xd9\xd9\xb9W*l\xb8omK\xde"iyQ\xd3\xa4\xa8\x8b\x88\x10\x80TK\x1f\x8b\x80\xfdK\x0ft}\x02\xa7\xa0\xd70/\xf5\xfe\xdc\xd9\xacM$z\xa0b"G\x9b*z<B\xc9\xa2\xb6\xc2\xcc_\xccZD\x0f\x8b\x92\xf6JK: \x00\xb5\xb1\xccda\xfc\xfd\x82\x9c\xa9@9#\xecamQ\xdeQ>o}\x88'), chr(0b1100100) + chr(1318 - 1217) + chr(99) + chr(0b1101111) + '\144' + chr(0b1110 + 0o127))('\x75' + chr(6559 - 6443) + '\146' + chr(0b101101) + chr(0b111000)) % xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\x86'), '\144' + chr(3768 - 3667) + chr(0b1010 + 0o131) + chr(0b1101111) + chr(100) + chr(7015 - 6914))(chr(117) + chr(0b1110100) + chr(0b11100 + 0o112) + chr(45) + chr(129 - 73)), xafqLlk3kkUe(SXOLrMavuUCe(b'J\xc9\xa4\xb4'), chr(0b110111 + 0o55) + chr(0b110101 + 0o60) + '\143' + '\x6f' + chr(0b1100100) + chr(6715 - 6614))('\x75' + '\x74' + chr(102) + '\055' + chr(1791 - 1735)))(rcU5ezoqJScf))
if BZww5yRyoHO6:
if lzJ7wq_4oCYO is not None:
cEhryM0YPR0h = lzJ7wq_4oCYO
lzJ7wq_4oCYO = YuZ1hKvpdMa2
YuZ1hKvpdMa2 = None
cEhryM0YPR0h = OMGcKau557qa(cEhryM0YPR0h) if cEhryM0YPR0h is not None else None
kJDRfRhcZHjS = [LTE9MPUbqSos for LTE9MPUbqSos in [YuZ1hKvpdMa2, lzJ7wq_4oCYO, cEhryM0YPR0h] if LTE9MPUbqSos is not None]
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.sample(*kJDRfRhcZHjS)
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S\xd7\xa1\x85\x8d\x98A'), chr(0b1001 + 0o133) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.sampleBy
|
def sampleBy(self, col, fractions, seed=None):
"""
Returns a stratified sample without replacement based on the
fraction given on each stratum.
:param col: column that defines strata
:param fractions:
sampling fraction for each stratum. If a stratum is not
specified, we treat its fraction as zero.
:param seed: random seed
:return: a new DataFrame that represents the stratified sample
>>> from pyspark.sql.functions import col
>>> dataset = sqlContext.range(0, 100).select((col("id") % 3).alias("key"))
>>> sampled = dataset.sampleBy("key", fractions={0: 0.1, 1: 0.2}, seed=0)
>>> sampled.groupBy("key").count().orderBy("key").show()
+---+-----+
|key|count|
+---+-----+
| 0| 3|
| 1| 6|
+---+-----+
>>> dataset.sampleBy(col("key"), fractions={2: 1.0}, seed=0).count()
33
.. versionchanged:: 3.0
Added sampling by a column of :class:`Column`
"""
if isinstance(col, basestring):
col = Column(col)
elif not isinstance(col, Column):
raise ValueError("col must be a string or a column, but got %r" % type(col))
if not isinstance(fractions, dict):
raise ValueError("fractions must be a dict but got %r" % type(fractions))
for k, v in fractions.items():
if not isinstance(k, (float, int, long, basestring)):
raise ValueError("key must be float, int, long, or string, but got %r" % type(k))
fractions[k] = float(v)
col = col._jc
seed = seed if seed is not None else random.randint(0, sys.maxsize)
return DataFrame(self._jdf.stat().sampleBy(col, self._jmap(fractions), seed), self.sql_ctx)
|
python
|
def sampleBy(self, col, fractions, seed=None):
"""
Returns a stratified sample without replacement based on the
fraction given on each stratum.
:param col: column that defines strata
:param fractions:
sampling fraction for each stratum. If a stratum is not
specified, we treat its fraction as zero.
:param seed: random seed
:return: a new DataFrame that represents the stratified sample
>>> from pyspark.sql.functions import col
>>> dataset = sqlContext.range(0, 100).select((col("id") % 3).alias("key"))
>>> sampled = dataset.sampleBy("key", fractions={0: 0.1, 1: 0.2}, seed=0)
>>> sampled.groupBy("key").count().orderBy("key").show()
+---+-----+
|key|count|
+---+-----+
| 0| 3|
| 1| 6|
+---+-----+
>>> dataset.sampleBy(col("key"), fractions={2: 1.0}, seed=0).count()
33
.. versionchanged:: 3.0
Added sampling by a column of :class:`Column`
"""
if isinstance(col, basestring):
col = Column(col)
elif not isinstance(col, Column):
raise ValueError("col must be a string or a column, but got %r" % type(col))
if not isinstance(fractions, dict):
raise ValueError("fractions must be a dict but got %r" % type(fractions))
for k, v in fractions.items():
if not isinstance(k, (float, int, long, basestring)):
raise ValueError("key must be float, int, long, or string, but got %r" % type(k))
fractions[k] = float(v)
col = col._jc
seed = seed if seed is not None else random.randint(0, sys.maxsize)
return DataFrame(self._jdf.stat().sampleBy(col, self._jmap(fractions), seed), self.sql_ctx)
|
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"v",
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"col",
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"(",
"fractions",
")",
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")",
",",
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")"
] |
Returns a stratified sample without replacement based on the
fraction given on each stratum.
:param col: column that defines strata
:param fractions:
sampling fraction for each stratum. If a stratum is not
specified, we treat its fraction as zero.
:param seed: random seed
:return: a new DataFrame that represents the stratified sample
>>> from pyspark.sql.functions import col
>>> dataset = sqlContext.range(0, 100).select((col("id") % 3).alias("key"))
>>> sampled = dataset.sampleBy("key", fractions={0: 0.1, 1: 0.2}, seed=0)
>>> sampled.groupBy("key").count().orderBy("key").show()
+---+-----+
|key|count|
+---+-----+
| 0| 3|
| 1| 6|
+---+-----+
>>> dataset.sampleBy(col("key"), fractions={2: 1.0}, seed=0).count()
33
.. versionchanged:: 3.0
Added sampling by a column of :class:`Column`
|
[
"Returns",
"a",
"stratified",
"sample",
"without",
"replacement",
"based",
"on",
"the",
"fraction",
"given",
"on",
"each",
"stratum",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L849-L889
|
train
|
Returns a stratified sample without replacement based on the fractions given on each stratum.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(655 - 607) + chr(726 - 615) + '\x32' + '\x34' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1728 - 1678) + chr(0b100101 + 0o22) + '\x37', 0b1000), ehT0Px3KOsy9(chr(956 - 908) + chr(0b1010 + 0o145) + chr(0b1011 + 0o47) + chr(0b10011 + 0o37) + chr(0b10110 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(54) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101010 + 0o5) + '\061' + chr(48) + chr(0b101100 + 0o13), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(615 - 565) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x31' + chr(0b110 + 0o52), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(54) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1138 - 1090) + '\157' + '\061' + chr(1759 - 1710) + chr(0b110001), 7223 - 7215), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1010 + 0o54) + '\x36', 8830 - 8822), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(2396 - 2341) + chr(1308 - 1254), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\061' + chr(0b110000) + chr(2348 - 2297), 4073 - 4065), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\066' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + '\062' + chr(2327 - 2278) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(2062 - 2014) + chr(0b1101111) + chr(0b101001 + 0o12) + chr(0b100001 + 0o22) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(204 - 156) + chr(10738 - 10627) + chr(51) + chr(55) + chr(0b110 + 0o60), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b101001 + 0o12) + '\x31' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(54) + chr(0b10111 + 0o33), 39980 - 39972), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\063' + chr(0b10000 + 0o42), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + chr(49) + '\064' + chr(405 - 351), 41049 - 41041), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110111) + '\x35', 6295 - 6287), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + chr(9896 - 9785) + chr(0b110100) + chr(0b110111), 64642 - 64634), ehT0Px3KOsy9(chr(48) + chr(656 - 545) + chr(51) + chr(0b110100 + 0o2) + chr(0b110000), 8), ehT0Px3KOsy9(chr(1329 - 1281) + '\x6f' + chr(2147 - 2098) + chr(0b11101 + 0o24) + chr(1113 - 1061), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110000) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2000 - 1949) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(427 - 316) + chr(0b111 + 0o54) + chr(0b110100) + chr(0b1101 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(2513 - 2462) + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x31' + chr(0b11000 + 0o31), 8), ehT0Px3KOsy9(chr(381 - 333) + chr(0b1101111) + chr(0b101 + 0o56) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(48) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2480 - 2429) + '\060' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\062' + chr(0b110110) + chr(833 - 778), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x33' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(55) + chr(1062 - 1013), 49245 - 49237), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(55) + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1101 + 0o45) + '\062' + chr(0b101000 + 0o10), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a'), '\144' + chr(9471 - 9370) + chr(0b1100011) + chr(0b111001 + 0o66) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(0b110110 + 0o60) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Tz510kQwPpsq(oVre8I6UXc3b, Qa2uSJqQPT3w, kkiFeke8J4g1, cEhryM0YPR0h=None):
if PlSM16l2KDPD(Qa2uSJqQPT3w, YUHmwdgm0K2P):
Qa2uSJqQPT3w = fPAxuGjPVbis(Qa2uSJqQPT3w)
elif not PlSM16l2KDPD(Qa2uSJqQPT3w, fPAxuGjPVbis):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xd0\xfb\x90a2\xe5\xfc\xd0+S\xde"\xd1\xfe\xa8\x8c\xa1\x1c\xfdFs\x8f\x0eF\xd0/\xacu\x95\xa4\'6\xe0\xa0\xc2\xab\x99\xdd\xff\xd0\x9f\xb2\xc2'), chr(100) + chr(101) + chr(0b111110 + 0o45) + '\x6f' + chr(9638 - 9538) + '\145')('\165' + chr(0b1110100) + chr(0b101101 + 0o71) + chr(1886 - 1841) + chr(56)) % wmQmyeWBmUpv(Qa2uSJqQPT3w))
if not PlSM16l2KDPD(kkiFeke8J4g1, wLqBDw8l0eIm):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xcd\xf6\xd3x.\xf9\xe6\x83i[\x8b0\x85\xad\xbe\x9b\xe8\x13\xba\x02u\x9eZ\x07\x929\xb79\x87\xa6=:\xe5\xb0'), chr(0b1100100) + '\x65' + chr(2595 - 2496) + '\x6f' + chr(0b1100100) + chr(7715 - 7614))('\x75' + chr(12599 - 12483) + chr(102) + chr(1256 - 1211) + chr(0b111000)) % wmQmyeWBmUpv(kkiFeke8J4g1))
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(kkiFeke8J4g1, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xcb\xf2\xdd\x7f'), '\x64' + '\145' + '\143' + '\157' + '\144' + chr(0b110 + 0o137))('\165' + chr(0b1110100) + '\x66' + chr(148 - 103) + chr(251 - 195)))():
if not PlSM16l2KDPD(OolUPRJhRaJd, (kkSX4ccExqw4, ehT0Px3KOsy9, OMGcKau557qa, YUHmwdgm0K2P)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xda\xee\x90a2\xe5\xfc\xd0+S\xde%\x9d\xe2\xbd\x8a\xe4R\xf3\x08h\xd1\x0eK\x9f"\xa45\xc0\xa6;:\xb3\xb6\xc5\xb6\xd7\xdd\xbc\x84\xdd\xe2\xc4, \xf9\xfc\xd0lD'), '\144' + chr(6412 - 6311) + chr(99) + chr(0b1101111) + '\x64' + '\x65')('\x75' + chr(0b1110100) + '\146' + chr(45) + chr(1082 - 1026)) % wmQmyeWBmUpv(OolUPRJhRaJd))
kkiFeke8J4g1[OolUPRJhRaJd] = kkSX4ccExqw4(cMbll0QYhULo)
Qa2uSJqQPT3w = Qa2uSJqQPT3w._jc
cEhryM0YPR0h = cEhryM0YPR0h if cEhryM0YPR0h is not None else drxw09AdRdci.randint(ehT0Px3KOsy9('\x30' + '\x6f' + chr(1434 - 1386), ord("\x08")), a2SYDDomXDZ2.maxsize)
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.stat(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xde\xfa\xc0`"\xd4\xf1'), chr(0b1100100) + chr(0b1100101) + chr(0b10100 + 0o117) + '\x6f' + chr(100) + '\x65')(chr(0b10101 + 0o140) + '\164' + '\x66' + chr(0b0 + 0o55) + chr(0b111000)))(Qa2uSJqQPT3w, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xd5\xfa\xd1|'), chr(0b1001000 + 0o34) + '\145' + chr(6313 - 6214) + '\157' + chr(100) + chr(101))('\165' + '\164' + '\x66' + chr(0b101101) + chr(0b11111 + 0o31)))(kkiFeke8J4g1), cEhryM0YPR0h), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xce\xfb\xefo3\xee'), '\x64' + '\145' + chr(0b10 + 0o141) + '\157' + chr(6244 - 6144) + '\x65')('\x75' + chr(3575 - 3459) + chr(0b1100110) + chr(0b101101) + chr(56))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.randomSplit
|
def randomSplit(self, weights, seed=None):
"""Randomly splits this :class:`DataFrame` with the provided weights.
:param weights: list of doubles as weights with which to split the DataFrame. Weights will
be normalized if they don't sum up to 1.0.
:param seed: The seed for sampling.
>>> splits = df4.randomSplit([1.0, 2.0], 24)
>>> splits[0].count()
2
>>> splits[1].count()
2
"""
for w in weights:
if w < 0.0:
raise ValueError("Weights must be positive. Found weight value: %s" % w)
seed = seed if seed is not None else random.randint(0, sys.maxsize)
rdd_array = self._jdf.randomSplit(_to_list(self.sql_ctx._sc, weights), long(seed))
return [DataFrame(rdd, self.sql_ctx) for rdd in rdd_array]
|
python
|
def randomSplit(self, weights, seed=None):
"""Randomly splits this :class:`DataFrame` with the provided weights.
:param weights: list of doubles as weights with which to split the DataFrame. Weights will
be normalized if they don't sum up to 1.0.
:param seed: The seed for sampling.
>>> splits = df4.randomSplit([1.0, 2.0], 24)
>>> splits[0].count()
2
>>> splits[1].count()
2
"""
for w in weights:
if w < 0.0:
raise ValueError("Weights must be positive. Found weight value: %s" % w)
seed = seed if seed is not None else random.randint(0, sys.maxsize)
rdd_array = self._jdf.randomSplit(_to_list(self.sql_ctx._sc, weights), long(seed))
return [DataFrame(rdd, self.sql_ctx) for rdd in rdd_array]
|
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"in",
"rdd_array",
"]"
] |
Randomly splits this :class:`DataFrame` with the provided weights.
:param weights: list of doubles as weights with which to split the DataFrame. Weights will
be normalized if they don't sum up to 1.0.
:param seed: The seed for sampling.
>>> splits = df4.randomSplit([1.0, 2.0], 24)
>>> splits[0].count()
2
>>> splits[1].count()
2
|
[
"Randomly",
"splits",
"this",
":",
"class",
":",
"DataFrame",
"with",
"the",
"provided",
"weights",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L892-L911
|
train
|
Randomly splits this DataFrame with the provided weights.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(1920 - 1869) + '\064', 37782 - 37774), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o25) + chr(55) + chr(0b10001 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(2448 - 2395) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1 + 0o61) + '\063' + chr(0b101010 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1001010 + 0o45) + chr(0b110010) + chr(289 - 234) + chr(0b1110 + 0o46), 10816 - 10808), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(55) + '\x36', 39142 - 39134), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + '\x35' + '\065', 5916 - 5908), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(5155 - 5044) + chr(51) + '\061' + '\065', 9310 - 9302), ehT0Px3KOsy9(chr(2060 - 2012) + chr(111) + chr(823 - 774) + chr(51) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(814 - 765) + chr(0b101110 + 0o2) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b11010 + 0o30) + '\x31' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x37' + chr(0b110001), 4945 - 4937), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x35', 61007 - 60999), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(49) + chr(0b1 + 0o66), 0o10), ehT0Px3KOsy9(chr(1569 - 1521) + chr(4798 - 4687) + chr(0b110011) + '\x33' + '\x30', 19536 - 19528), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o23) + '\x32' + chr(0b110001), 11545 - 11537), ehT0Px3KOsy9('\x30' + chr(6315 - 6204) + chr(49) + chr(1616 - 1567) + '\x32', 25990 - 25982), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b110011) + chr(52) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\066' + chr(1854 - 1804), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(707 - 652) + chr(0b100000 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1100 + 0o47) + chr(0b110110) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100) + chr(830 - 777), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o37) + '\x35' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1129 - 1081) + '\x6f' + chr(0b100110 + 0o13) + '\x34' + chr(2339 - 2288), ord("\x08")), ehT0Px3KOsy9(chr(694 - 646) + chr(9305 - 9194) + '\061' + chr(0b110011) + chr(1016 - 967), 7221 - 7213), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\063' + chr(0b101011 + 0o7) + chr(1655 - 1604), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(1457 - 1407) + chr(52) + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(49) + chr(55), 21629 - 21621), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b1000 + 0o52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(907 - 859) + '\157' + '\x32' + chr(49) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9598 - 9487) + '\062' + chr(0b101 + 0o56), 0b1000), ehT0Px3KOsy9(chr(1013 - 965) + chr(0b1101111) + '\063' + chr(0b11001 + 0o35) + '\x30', 0o10), ehT0Px3KOsy9(chr(244 - 196) + chr(0b100011 + 0o114) + chr(0b110010) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1323 - 1275) + chr(111) + '\x32' + chr(989 - 939), 10849 - 10841), ehT0Px3KOsy9(chr(1026 - 978) + chr(0b1100001 + 0o16) + chr(50) + chr(1541 - 1486) + chr(322 - 270), 8), ehT0Px3KOsy9(chr(1278 - 1230) + chr(6407 - 6296) + chr(0b11101 + 0o26) + '\067' + chr(560 - 505), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b110110 + 0o71) + chr(1156 - 1105) + '\x37' + chr(0b110011), 36089 - 36081), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(827 - 776) + '\x37' + '\x34', 0b1000), ehT0Px3KOsy9(chr(757 - 709) + '\157' + '\061' + '\x32' + chr(391 - 343), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(51) + chr(0b110001), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), '\144' + chr(4228 - 4127) + chr(0b1100011) + chr(0b11100 + 0o123) + chr(8294 - 8194) + chr(0b100100 + 0o101))(chr(4919 - 4802) + '\x74' + chr(102) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rvOPtLf_6qN8(oVre8I6UXc3b, ZurHTci57aXw, cEhryM0YPR0h=None):
for AOfzRywRzEXp in ZurHTci57aXw:
if AOfzRywRzEXp < 0.0:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'K\x1eE\xfb\xd4\xca^\xed54\xfd\r-\xad\xbdq:\x8e\xc1W\x83L\xdd\x06w\xf3\xe2 \xa2\xe4w\xd0\xcew\xd5\x98\x93\x88p/}\x17Y\xf9\x86\x9e\x08\xbe'), '\144' + chr(6425 - 6324) + chr(99) + chr(404 - 293) + '\144' + chr(4853 - 4752))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101011 + 0o2) + chr(0b111000 + 0o0)) % AOfzRywRzEXp)
cEhryM0YPR0h = cEhryM0YPR0h if cEhryM0YPR0h is not None else drxw09AdRdci.randint(ehT0Px3KOsy9('\x30' + '\x6f' + chr(48), 0b1000), a2SYDDomXDZ2.maxsize)
yZhhYu0jvbz3 = oVre8I6UXc3b._jdf.randomSplit(cngGg6kiQpr1(oVre8I6UXc3b.sql_ctx._sc, ZurHTci57aXw), OMGcKau557qa(cEhryM0YPR0h))
return [TTWbaLX2VikC(VwDkkS2adETP, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'o\n@\xc3\xdf\xcaU'), chr(0b1100100) + chr(0b1100101) + chr(0b101 + 0o136) + chr(0b101110 + 0o101) + chr(0b1100100) + chr(101))(chr(8385 - 8268) + '\164' + chr(0b10011 + 0o123) + '\055' + chr(56)))) for VwDkkS2adETP in yZhhYu0jvbz3]
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.dtypes
|
def dtypes(self):
"""Returns all column names and their data types as a list.
>>> df.dtypes
[('age', 'int'), ('name', 'string')]
"""
return [(str(f.name), f.dataType.simpleString()) for f in self.schema.fields]
|
python
|
def dtypes(self):
"""Returns all column names and their data types as a list.
>>> df.dtypes
[('age', 'int'), ('name', 'string')]
"""
return [(str(f.name), f.dataType.simpleString()) for f in self.schema.fields]
|
[
"def",
"dtypes",
"(",
"self",
")",
":",
"return",
"[",
"(",
"str",
"(",
"f",
".",
"name",
")",
",",
"f",
".",
"dataType",
".",
"simpleString",
"(",
")",
")",
"for",
"f",
"in",
"self",
".",
"schema",
".",
"fields",
"]"
] |
Returns all column names and their data types as a list.
>>> df.dtypes
[('age', 'int'), ('name', 'string')]
|
[
"Returns",
"all",
"column",
"names",
"and",
"their",
"data",
"types",
"as",
"a",
"list",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L915-L921
|
train
|
Returns all column names and their data types as a list.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1011 + 0o46) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(1871 - 1820) + chr(55) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(51) + chr(294 - 244), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1960 - 1911) + '\x35', 7442 - 7434), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110 + 0o53) + chr(53) + chr(321 - 271), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(1920 - 1809) + '\061' + '\062' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(7726 - 7615) + chr(0b110010) + '\x35' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + '\x34' + chr(503 - 454), 36334 - 36326), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2099 - 2050) + '\x32' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(48) + chr(0b110100), 15496 - 15488), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + '\x32' + chr(0b110100) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11100 + 0o25) + chr(0b110101), 8), ehT0Px3KOsy9(chr(2192 - 2144) + '\x6f' + '\063' + chr(95 - 45) + chr(0b1 + 0o62), 190 - 182), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\x31' + chr(0b110111) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1100 + 0o143) + '\x31' + chr(52) + '\063', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(1729 - 1680) + chr(0b110110) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\061' + chr(0b10111 + 0o31) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b110011 + 0o74) + chr(1494 - 1443) + '\064' + chr(0b11011 + 0o34), 30812 - 30804), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(51) + chr(1922 - 1868), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(51) + '\x31' + '\x36', 45714 - 45706), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(69 - 16) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(554 - 505) + chr(0b11010 + 0o32) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + chr(5516 - 5405) + chr(0b10101 + 0o34) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(2309 - 2259) + chr(0b11 + 0o60) + chr(0b11010 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x33' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(74 - 25) + chr(0b110101) + chr(2187 - 2134), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x35', 8), ehT0Px3KOsy9(chr(174 - 126) + '\x6f' + chr(0b110011) + chr(326 - 275), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101110 + 0o5) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + '\x31' + chr(49) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(1024 - 913) + chr(812 - 763) + chr(49) + chr(0b101000 + 0o12), 8), ehT0Px3KOsy9('\060' + chr(2425 - 2314) + '\x31' + chr(0b10100 + 0o43) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\x32' + chr(0b110001) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b10001 + 0o41) + '\065' + '\x36', 63171 - 63163), ehT0Px3KOsy9('\060' + chr(1961 - 1850) + '\061' + chr(49) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + '\062' + '\x33' + chr(0b110 + 0o61), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2586 - 2475) + chr(0b110001) + chr(2064 - 2016) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1100 + 0o46) + chr(0b10101 + 0o35) + chr(311 - 261), 16989 - 16981), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110 + 0o1) + chr(50), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(627 - 516) + '\x35' + chr(0b100010 + 0o16), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'$'), chr(2463 - 2363) + chr(3085 - 2984) + chr(0b1100011) + chr(111) + chr(9346 - 9246) + chr(101))(chr(0b101000 + 0o115) + chr(3070 - 2954) + '\146' + chr(0b100 + 0o51) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def povqwBfbr44M(oVre8I6UXc3b):
return [(M8_cKLkHVB2V(xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'd\x9f7g'), '\144' + chr(0b1011100 + 0o11) + chr(0b11101 + 0o106) + chr(3041 - 2930) + '\x64' + chr(799 - 698))(chr(8063 - 7946) + '\x74' + chr(5285 - 5183) + chr(45) + '\x38'))), xafqLlk3kkUe(EGyt1xfPT1P6.dataType, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x977ra\x0f\x07\xdeS;*\xc2'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(3926 - 3826) + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + chr(0b11101 + 0o20) + '\x38'))()) for EGyt1xfPT1P6 in xafqLlk3kkUe(oVre8I6UXc3b.schema, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x97?ni\x19'), chr(1804 - 1704) + chr(4711 - 4610) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(102) + chr(0b10100 + 0o31) + '\x38'))]
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.colRegex
|
def colRegex(self, colName):
"""
Selects column based on the column name specified as a regex and returns it
as :class:`Column`.
:param colName: string, column name specified as a regex.
>>> df = spark.createDataFrame([("a", 1), ("b", 2), ("c", 3)], ["Col1", "Col2"])
>>> df.select(df.colRegex("`(Col1)?+.+`")).show()
+----+
|Col2|
+----+
| 1|
| 2|
| 3|
+----+
"""
if not isinstance(colName, basestring):
raise ValueError("colName should be provided as string")
jc = self._jdf.colRegex(colName)
return Column(jc)
|
python
|
def colRegex(self, colName):
"""
Selects column based on the column name specified as a regex and returns it
as :class:`Column`.
:param colName: string, column name specified as a regex.
>>> df = spark.createDataFrame([("a", 1), ("b", 2), ("c", 3)], ["Col1", "Col2"])
>>> df.select(df.colRegex("`(Col1)?+.+`")).show()
+----+
|Col2|
+----+
| 1|
| 2|
| 3|
+----+
"""
if not isinstance(colName, basestring):
raise ValueError("colName should be provided as string")
jc = self._jdf.colRegex(colName)
return Column(jc)
|
[
"def",
"colRegex",
"(",
"self",
",",
"colName",
")",
":",
"if",
"not",
"isinstance",
"(",
"colName",
",",
"basestring",
")",
":",
"raise",
"ValueError",
"(",
"\"colName should be provided as string\"",
")",
"jc",
"=",
"self",
".",
"_jdf",
".",
"colRegex",
"(",
"colName",
")",
"return",
"Column",
"(",
"jc",
")"
] |
Selects column based on the column name specified as a regex and returns it
as :class:`Column`.
:param colName: string, column name specified as a regex.
>>> df = spark.createDataFrame([("a", 1), ("b", 2), ("c", 3)], ["Col1", "Col2"])
>>> df.select(df.colRegex("`(Col1)?+.+`")).show()
+----+
|Col2|
+----+
| 1|
| 2|
| 3|
+----+
|
[
"Selects",
"column",
"based",
"on",
"the",
"column",
"name",
"specified",
"as",
"a",
"regex",
"and",
"returns",
"it",
"as",
":",
"class",
":",
"Column",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L934-L954
|
train
|
Selects a column based on the column name specified as a regex and returns it
as a Column.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\066' + '\064', 0b1000), ehT0Px3KOsy9(chr(734 - 686) + '\x6f' + chr(0b10110 + 0o35) + chr(0b110010) + chr(1093 - 1045), 0b1000), ehT0Px3KOsy9('\060' + chr(11993 - 11882) + '\x37' + chr(0b100100 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(11525 - 11414) + '\x32' + chr(0b1110 + 0o51) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1719 - 1670) + '\066' + '\064', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110001) + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110101) + chr(460 - 410), ord("\x08")), ehT0Px3KOsy9(chr(1457 - 1409) + '\x6f' + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(51) + '\x31' + chr(929 - 881), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(657 - 606) + chr(0b1110 + 0o44) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(6355 - 6244) + '\x32' + chr(0b110110) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110011) + chr(0b110100 + 0o0), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6850 - 6739) + chr(1457 - 1407) + chr(2314 - 2259) + chr(0b1 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(12216 - 12105) + chr(0b110010) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\x33' + chr(0b110101) + chr(54), 19207 - 19199), ehT0Px3KOsy9('\060' + chr(2367 - 2256) + '\x33' + chr(0b110100) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2718 - 2607) + chr(1648 - 1599) + chr(0b100110 + 0o14) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101011 + 0o4) + '\063' + chr(0b101000 + 0o14) + '\063', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\x32' + '\062' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110011) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\x31' + chr(53) + chr(1760 - 1710), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\066' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2279 - 2231) + chr(0b11100 + 0o123) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(50) + chr(48), 3006 - 2998), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + '\x31' + chr(0b110110) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(50) + chr(2543 - 2488), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(2334 - 2279) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1181 - 1133) + chr(0b111000 + 0o67) + '\062' + chr(0b10111 + 0o37), 16996 - 16988), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\062' + chr(0b101001 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b110010 + 0o1) + chr(52) + '\x37', 46253 - 46245), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11 + 0o62) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(417 - 369) + '\157' + '\x37' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(909 - 861) + '\x6f' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(0b110111) + chr(0b110000 + 0o7), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + '\x31' + chr(0b110000) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o44) + chr(0b110110) + chr(0b10011 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3821 - 3710) + chr(49) + '\065' + chr(55), 0o10), ehT0Px3KOsy9(chr(438 - 390) + chr(0b1101111) + chr(0b110001) + chr(1060 - 1011) + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2383 - 2330) + chr(0b10011 + 0o35), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'1'), '\x64' + '\145' + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(0b11011 + 0o132) + '\x74' + '\x66' + '\x2d' + chr(0b10010 + 0o46)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YoC1ezgKSVHc(oVre8I6UXc3b, t_Oy0SIzFD9V):
if not PlSM16l2KDPD(t_Oy0SIzFD9V, YUHmwdgm0K2P):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'|\x1b\xbcuf\xd3\x11\xa8\x99u\xa7\xa6\xd8\xb8\x99\xc1\x8b\xc2!\x91\xff\xeb\x03\xd2d4P6\xce6\xe6\x93^TkX'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + chr(12375 - 12259) + chr(0b1100110) + '\x2d' + '\070'))
XQb6BIjWDEu0 = oVre8I6UXc3b._jdf.colRegex(t_Oy0SIzFD9V)
return fPAxuGjPVbis(XQb6BIjWDEu0)
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.alias
|
def alias(self, alias):
"""Returns a new :class:`DataFrame` with an alias set.
:param alias: string, an alias name to be set for the DataFrame.
>>> from pyspark.sql.functions import *
>>> df_as1 = df.alias("df_as1")
>>> df_as2 = df.alias("df_as2")
>>> joined_df = df_as1.join(df_as2, col("df_as1.name") == col("df_as2.name"), 'inner')
>>> joined_df.select("df_as1.name", "df_as2.name", "df_as2.age").collect()
[Row(name=u'Bob', name=u'Bob', age=5), Row(name=u'Alice', name=u'Alice', age=2)]
"""
assert isinstance(alias, basestring), "alias should be a string"
return DataFrame(getattr(self._jdf, "as")(alias), self.sql_ctx)
|
python
|
def alias(self, alias):
"""Returns a new :class:`DataFrame` with an alias set.
:param alias: string, an alias name to be set for the DataFrame.
>>> from pyspark.sql.functions import *
>>> df_as1 = df.alias("df_as1")
>>> df_as2 = df.alias("df_as2")
>>> joined_df = df_as1.join(df_as2, col("df_as1.name") == col("df_as2.name"), 'inner')
>>> joined_df.select("df_as1.name", "df_as2.name", "df_as2.age").collect()
[Row(name=u'Bob', name=u'Bob', age=5), Row(name=u'Alice', name=u'Alice', age=2)]
"""
assert isinstance(alias, basestring), "alias should be a string"
return DataFrame(getattr(self._jdf, "as")(alias), self.sql_ctx)
|
[
"def",
"alias",
"(",
"self",
",",
"alias",
")",
":",
"assert",
"isinstance",
"(",
"alias",
",",
"basestring",
")",
",",
"\"alias should be a string\"",
"return",
"DataFrame",
"(",
"getattr",
"(",
"self",
".",
"_jdf",
",",
"\"as\"",
")",
"(",
"alias",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Returns a new :class:`DataFrame` with an alias set.
:param alias: string, an alias name to be set for the DataFrame.
>>> from pyspark.sql.functions import *
>>> df_as1 = df.alias("df_as1")
>>> df_as2 = df.alias("df_as2")
>>> joined_df = df_as1.join(df_as2, col("df_as1.name") == col("df_as2.name"), 'inner')
>>> joined_df.select("df_as1.name", "df_as2.name", "df_as2.age").collect()
[Row(name=u'Bob', name=u'Bob', age=5), Row(name=u'Alice', name=u'Alice', age=2)]
|
[
"Returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"with",
"an",
"alias",
"set",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L958-L971
|
train
|
Returns a new DataFrame with an alias set.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + '\061' + chr(50) + '\064', 33768 - 33760), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(52) + chr(52), 18695 - 18687), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\060' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(11241 - 11130) + chr(0b110101) + chr(1622 - 1572), 0b1000), ehT0Px3KOsy9(chr(1698 - 1650) + '\x6f' + '\x33' + chr(2447 - 2394) + '\x37', 1045 - 1037), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b1110 + 0o43) + '\066' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + '\x31' + chr(52) + chr(0b10011 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(53) + '\x32', 0b1000), ehT0Px3KOsy9(chr(118 - 70) + chr(0b1101111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(673 - 625) + '\x6f' + chr(49) + chr(0b110000) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + '\x32' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110001) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(0b1000 + 0o53) + '\x35' + chr(0b101 + 0o62), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(441 - 391) + chr(0b110000) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + chr(0b101110 + 0o3) + '\x33' + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(255 - 206) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110101) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12229 - 12118) + chr(0b10101 + 0o34) + chr(55) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o37) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b100111 + 0o110) + chr(1624 - 1570) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110001 + 0o2) + '\x30' + chr(1141 - 1088), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\x31' + '\065' + chr(0b110110), 13874 - 13866), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x30' + chr(1429 - 1380), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(384 - 336) + '\066', 19992 - 19984), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(51) + chr(0b110001) + chr(0b110 + 0o56), 8779 - 8771), ehT0Px3KOsy9(chr(48) + chr(6174 - 6063) + '\063' + '\067' + chr(0b101000 + 0o10), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110101) + chr(417 - 366), 16325 - 16317), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b110001) + chr(0b100010 + 0o23) + '\x37', 14675 - 14667), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(1090 - 1037) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\061', 0o10), ehT0Px3KOsy9(chr(1728 - 1680) + '\x6f' + chr(49) + chr(0b110011) + '\x33', 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1 + 0o156) + chr(191 - 139) + chr(874 - 820), 27608 - 27600), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110001 + 0o0) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4822 - 4711) + chr(2267 - 2218) + chr(51) + chr(0b111 + 0o54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + '\x36' + chr(1343 - 1289), 63280 - 63272), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9('\x30' + chr(2859 - 2748) + chr(0b1011 + 0o50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x34' + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + chr(0b11111 + 0o21), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'z'), chr(9085 - 8985) + '\145' + chr(99) + '\157' + chr(0b1011111 + 0o5) + '\145')(chr(0b1110101) + chr(0b110010 + 0o102) + '\146' + chr(0b10110 + 0o27) + chr(0b1111 + 0o51)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RJ1pgC_UBwkP(oVre8I6UXc3b, RJ1pgC_UBwkP):
assert PlSM16l2KDPD(RJ1pgC_UBwkP, YUHmwdgm0K2P), xafqLlk3kkUe(SXOLrMavuUCe(b'5\x08\xabK\x9cS\x12\x82o5}\xaf\xcf\xe0>kfK\x0bD@\xac\x00&'), '\144' + '\145' + '\x63' + '\x6f' + chr(545 - 445) + chr(101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b11 + 0o65))
return TTWbaLX2VikC(xafqLlk3kkUe(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x0e\xa6L'), '\144' + chr(101) + '\143' + chr(0b111110 + 0o61) + chr(0b1100001 + 0o3) + '\x65')(chr(117) + chr(0b1110100) + '\146' + chr(0b100010 + 0o13) + chr(1329 - 1273))), xafqLlk3kkUe(SXOLrMavuUCe(b'5\x17'), chr(471 - 371) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')('\165' + chr(0b1110100) + '\146' + chr(45) + chr(2633 - 2577)))(RJ1pgC_UBwkP), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"'\x15\xaeu\x8c\x07\x19"), chr(0b1100100) + '\x65' + chr(0b10100 + 0o117) + chr(3257 - 3146) + '\x64' + chr(101))('\x75' + chr(11429 - 11313) + chr(7816 - 7714) + '\x2d' + '\x38')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.crossJoin
|
def crossJoin(self, other):
"""Returns the cartesian product with another :class:`DataFrame`.
:param other: Right side of the cartesian product.
>>> df.select("age", "name").collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
>>> df2.select("name", "height").collect()
[Row(name=u'Tom', height=80), Row(name=u'Bob', height=85)]
>>> df.crossJoin(df2.select("height")).select("age", "name", "height").collect()
[Row(age=2, name=u'Alice', height=80), Row(age=2, name=u'Alice', height=85),
Row(age=5, name=u'Bob', height=80), Row(age=5, name=u'Bob', height=85)]
"""
jdf = self._jdf.crossJoin(other._jdf)
return DataFrame(jdf, self.sql_ctx)
|
python
|
def crossJoin(self, other):
"""Returns the cartesian product with another :class:`DataFrame`.
:param other: Right side of the cartesian product.
>>> df.select("age", "name").collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
>>> df2.select("name", "height").collect()
[Row(name=u'Tom', height=80), Row(name=u'Bob', height=85)]
>>> df.crossJoin(df2.select("height")).select("age", "name", "height").collect()
[Row(age=2, name=u'Alice', height=80), Row(age=2, name=u'Alice', height=85),
Row(age=5, name=u'Bob', height=80), Row(age=5, name=u'Bob', height=85)]
"""
jdf = self._jdf.crossJoin(other._jdf)
return DataFrame(jdf, self.sql_ctx)
|
[
"def",
"crossJoin",
"(",
"self",
",",
"other",
")",
":",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"crossJoin",
"(",
"other",
".",
"_jdf",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
".",
"sql_ctx",
")"
] |
Returns the cartesian product with another :class:`DataFrame`.
:param other: Right side of the cartesian product.
>>> df.select("age", "name").collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
>>> df2.select("name", "height").collect()
[Row(name=u'Tom', height=80), Row(name=u'Bob', height=85)]
>>> df.crossJoin(df2.select("height")).select("age", "name", "height").collect()
[Row(age=2, name=u'Alice', height=80), Row(age=2, name=u'Alice', height=85),
Row(age=5, name=u'Bob', height=80), Row(age=5, name=u'Bob', height=85)]
|
[
"Returns",
"the",
"cartesian",
"product",
"with",
"another",
":",
"class",
":",
"DataFrame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L975-L990
|
train
|
Returns the cartesian product with another.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(742 - 694) + chr(0b1101111) + '\062' + '\064' + chr(1581 - 1527), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o35) + chr(49) + chr(0b101111 + 0o4), 13013 - 13005), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(1699 - 1650) + '\060' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(2273 - 2225) + chr(49), 51863 - 51855), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(49) + '\x36' + chr(53), 3180 - 3172), ehT0Px3KOsy9(chr(48) + chr(4028 - 3917) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(1655 - 1606) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(639 - 590) + '\066' + chr(0b110110), 58112 - 58104), ehT0Px3KOsy9('\060' + chr(8170 - 8059) + chr(0b110110) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1659 - 1604) + '\x33', 0o10), ehT0Px3KOsy9(chr(2099 - 2051) + chr(0b1101111) + '\063' + chr(0b100101 + 0o14) + chr(953 - 902), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(50) + '\063', 0b1000), ehT0Px3KOsy9(chr(1784 - 1736) + chr(11468 - 11357) + '\067' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(249 - 199) + '\x35' + chr(925 - 873), 0o10), ehT0Px3KOsy9(chr(1918 - 1870) + '\157' + '\063' + chr(0b101111 + 0o7) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1687 - 1632) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061', 0b1000), ehT0Px3KOsy9(chr(947 - 899) + '\157' + '\063' + chr(0b110001 + 0o3) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1926 - 1876) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(9294 - 9183) + chr(1705 - 1654) + '\065' + chr(423 - 368), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6771 - 6660) + chr(0b110010 + 0o0) + '\x33' + '\060', 45418 - 45410), ehT0Px3KOsy9('\060' + chr(5672 - 5561) + chr(0b0 + 0o63) + chr(0b110010) + '\x36', 43584 - 43576), ehT0Px3KOsy9(chr(114 - 66) + '\157' + '\x33' + chr(0b110011) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101010 + 0o11) + chr(0b1 + 0o57) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(257 - 207), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(48) + chr(0b111 + 0o51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + chr(0b0 + 0o65) + chr(48), 48027 - 48019), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b11001 + 0o126) + '\061' + chr(0b110001) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(51) + chr(0b1110 + 0o51) + chr(48), 29558 - 29550), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(2196 - 2144) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b11100 + 0o123) + chr(1101 - 1050) + '\067', 39341 - 39333), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(1681 - 1630) + '\064', 42550 - 42542), ehT0Px3KOsy9('\060' + chr(12143 - 12032) + chr(0b110001) + chr(0b110001) + '\x37', 8), ehT0Px3KOsy9('\x30' + chr(5669 - 5558) + chr(0b110001) + '\x34' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9405 - 9294) + chr(0b110010) + chr(53) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x30' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(172 - 121) + chr(0b1110 + 0o51) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1000100 + 0o53) + '\063' + chr(2652 - 2598) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b11111 + 0o21) + chr(0b110011), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b110101) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), '\x64' + chr(101) + chr(0b10100 + 0o117) + chr(0b110001 + 0o76) + chr(2729 - 2629) + chr(101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EaZAzdnwxht0(oVre8I6UXc3b, KK0ERS7DqYrY):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.crossJoin(KK0ERS7DqYrY._jdf)
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xfa.\x1e\x16w\xb6'), '\x64' + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b111101 + 0o51) + '\x2d' + chr(0b111000))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.join
|
def join(self, other, on=None, how=None):
"""Joins with another :class:`DataFrame`, using the given join expression.
:param other: Right side of the join
:param on: a string for the join column name, a list of column names,
a join expression (Column), or a list of Columns.
If `on` is a string or a list of strings indicating the name of the join column(s),
the column(s) must exist on both sides, and this performs an equi-join.
:param how: str, default ``inner``. Must be one of: ``inner``, ``cross``, ``outer``,
``full``, ``fullouter``, ``full_outer``, ``left``, ``leftouter``, ``left_outer``,
``right``, ``rightouter``, ``right_outer``, ``semi``, ``leftsemi``, ``left_semi``,
``anti``, ``leftanti`` and ``left_anti``.
The following performs a full outer join between ``df1`` and ``df2``.
>>> df.join(df2, df.name == df2.name, 'outer').select(df.name, df2.height).collect()
[Row(name=None, height=80), Row(name=u'Bob', height=85), Row(name=u'Alice', height=None)]
>>> df.join(df2, 'name', 'outer').select('name', 'height').collect()
[Row(name=u'Tom', height=80), Row(name=u'Bob', height=85), Row(name=u'Alice', height=None)]
>>> cond = [df.name == df3.name, df.age == df3.age]
>>> df.join(df3, cond, 'outer').select(df.name, df3.age).collect()
[Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]
>>> df.join(df2, 'name').select(df.name, df2.height).collect()
[Row(name=u'Bob', height=85)]
>>> df.join(df4, ['name', 'age']).select(df.name, df.age).collect()
[Row(name=u'Bob', age=5)]
"""
if on is not None and not isinstance(on, list):
on = [on]
if on is not None:
if isinstance(on[0], basestring):
on = self._jseq(on)
else:
assert isinstance(on[0], Column), "on should be Column or list of Column"
on = reduce(lambda x, y: x.__and__(y), on)
on = on._jc
if on is None and how is None:
jdf = self._jdf.join(other._jdf)
else:
if how is None:
how = "inner"
if on is None:
on = self._jseq([])
assert isinstance(how, basestring), "how should be basestring"
jdf = self._jdf.join(other._jdf, on, how)
return DataFrame(jdf, self.sql_ctx)
|
python
|
def join(self, other, on=None, how=None):
"""Joins with another :class:`DataFrame`, using the given join expression.
:param other: Right side of the join
:param on: a string for the join column name, a list of column names,
a join expression (Column), or a list of Columns.
If `on` is a string or a list of strings indicating the name of the join column(s),
the column(s) must exist on both sides, and this performs an equi-join.
:param how: str, default ``inner``. Must be one of: ``inner``, ``cross``, ``outer``,
``full``, ``fullouter``, ``full_outer``, ``left``, ``leftouter``, ``left_outer``,
``right``, ``rightouter``, ``right_outer``, ``semi``, ``leftsemi``, ``left_semi``,
``anti``, ``leftanti`` and ``left_anti``.
The following performs a full outer join between ``df1`` and ``df2``.
>>> df.join(df2, df.name == df2.name, 'outer').select(df.name, df2.height).collect()
[Row(name=None, height=80), Row(name=u'Bob', height=85), Row(name=u'Alice', height=None)]
>>> df.join(df2, 'name', 'outer').select('name', 'height').collect()
[Row(name=u'Tom', height=80), Row(name=u'Bob', height=85), Row(name=u'Alice', height=None)]
>>> cond = [df.name == df3.name, df.age == df3.age]
>>> df.join(df3, cond, 'outer').select(df.name, df3.age).collect()
[Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]
>>> df.join(df2, 'name').select(df.name, df2.height).collect()
[Row(name=u'Bob', height=85)]
>>> df.join(df4, ['name', 'age']).select(df.name, df.age).collect()
[Row(name=u'Bob', age=5)]
"""
if on is not None and not isinstance(on, list):
on = [on]
if on is not None:
if isinstance(on[0], basestring):
on = self._jseq(on)
else:
assert isinstance(on[0], Column), "on should be Column or list of Column"
on = reduce(lambda x, y: x.__and__(y), on)
on = on._jc
if on is None and how is None:
jdf = self._jdf.join(other._jdf)
else:
if how is None:
how = "inner"
if on is None:
on = self._jseq([])
assert isinstance(how, basestring), "how should be basestring"
jdf = self._jdf.join(other._jdf, on, how)
return DataFrame(jdf, self.sql_ctx)
|
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")"
] |
Joins with another :class:`DataFrame`, using the given join expression.
:param other: Right side of the join
:param on: a string for the join column name, a list of column names,
a join expression (Column), or a list of Columns.
If `on` is a string or a list of strings indicating the name of the join column(s),
the column(s) must exist on both sides, and this performs an equi-join.
:param how: str, default ``inner``. Must be one of: ``inner``, ``cross``, ``outer``,
``full``, ``fullouter``, ``full_outer``, ``left``, ``leftouter``, ``left_outer``,
``right``, ``rightouter``, ``right_outer``, ``semi``, ``leftsemi``, ``left_semi``,
``anti``, ``leftanti`` and ``left_anti``.
The following performs a full outer join between ``df1`` and ``df2``.
>>> df.join(df2, df.name == df2.name, 'outer').select(df.name, df2.height).collect()
[Row(name=None, height=80), Row(name=u'Bob', height=85), Row(name=u'Alice', height=None)]
>>> df.join(df2, 'name', 'outer').select('name', 'height').collect()
[Row(name=u'Tom', height=80), Row(name=u'Bob', height=85), Row(name=u'Alice', height=None)]
>>> cond = [df.name == df3.name, df.age == df3.age]
>>> df.join(df3, cond, 'outer').select(df.name, df3.age).collect()
[Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]
>>> df.join(df2, 'name').select(df.name, df2.height).collect()
[Row(name=u'Bob', height=85)]
>>> df.join(df4, ['name', 'age']).select(df.name, df.age).collect()
[Row(name=u'Bob', age=5)]
|
[
"Joins",
"with",
"another",
":",
"class",
":",
"DataFrame",
"using",
"the",
"given",
"join",
"expression",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L994-L1046
|
train
|
Joins with another DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(51) + chr(620 - 568), 25266 - 25258), ehT0Px3KOsy9(chr(1521 - 1473) + chr(111) + chr(50) + '\x30' + chr(0b110111), 1705 - 1697), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2649 - 2594) + '\067', 0b1000), ehT0Px3KOsy9(chr(931 - 883) + chr(0b1010 + 0o145) + chr(0b110001) + chr(0b0 + 0o62) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(49) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + '\061' + chr(52) + '\064', 39242 - 39234), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110011) + chr(0b11001 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b101111 + 0o2) + '\x32' + chr(0b101011 + 0o7), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1798 - 1748) + chr(0b110000) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1656 - 1608) + chr(0b1101111) + chr(0b100100 + 0o16) + chr(0b110001) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(0b110001) + chr(978 - 923) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b1011 + 0o47) + chr(807 - 756), 755 - 747), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(52) + chr(0b10110 + 0o35), 0o10), ehT0Px3KOsy9(chr(1951 - 1903) + chr(0b1101111) + '\062' + chr(0b110100) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b1111 + 0o50) + chr(54), 41810 - 41802), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(50) + '\x32' + chr(1197 - 1142), 50211 - 50203), ehT0Px3KOsy9(chr(1832 - 1784) + chr(0b1101111) + chr(0b110010) + chr(1841 - 1792) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10362 - 10251) + chr(941 - 891) + chr(336 - 284) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1299 - 1251) + '\x6f' + chr(49) + '\x35' + chr(2068 - 2016), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5429 - 5318) + chr(51) + chr(0b100011 + 0o20) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1123 - 1073) + chr(55) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + '\x35' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\066' + chr(0b100101 + 0o16), 0o10), ehT0Px3KOsy9(chr(492 - 444) + '\x6f' + chr(49) + chr(0b100110 + 0o21) + '\066', 8), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + '\x32' + chr(2228 - 2178) + chr(0b10111 + 0o31), 19446 - 19438), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(49) + chr(0b110101) + '\065', 64620 - 64612), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1400 - 1351) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b111000 + 0o67) + chr(50) + chr(82 - 29) + chr(0b110000 + 0o0), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\065' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(502 - 391) + '\063' + chr(0b11 + 0o63) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7933 - 7822) + '\062' + chr(0b110111) + chr(0b1011 + 0o54), 38080 - 38072), ehT0Px3KOsy9(chr(893 - 845) + chr(111) + chr(49) + chr(0b100 + 0o55) + chr(0b11001 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\x32' + chr(0b110101) + chr(309 - 258), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\060' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1011101 + 0o22) + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(4695 - 4584) + chr(50) + chr(52) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(2601 - 2547), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7802 - 7691) + '\x33' + chr(1621 - 1573) + chr(0b1111 + 0o43), 0o10), ehT0Px3KOsy9(chr(1302 - 1254) + '\157' + chr(0b101 + 0o55) + chr(54), 28734 - 28726), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b101010 + 0o7) + chr(0b100110 + 0o15), 35410 - 35402)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1467 - 1419) + chr(0b11110 + 0o121) + chr(53) + chr(478 - 430), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), chr(4676 - 4576) + chr(101) + chr(0b1011001 + 0o12) + chr(0b1101001 + 0o6) + chr(100) + chr(0b1000101 + 0o40))('\165' + chr(0b1110100) + chr(0b1001111 + 0o27) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
(RSYsB9TMxo_y,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xf2Q1\xbd\x0b\xb6>\xf6'), chr(100) + chr(8376 - 8275) + chr(0b1100011) + chr(0b1101111) + chr(1902 - 1802) + '\145')(chr(0b1110101) + chr(0b111101 + 0o67) + '\x66' + chr(0b101101) + chr(539 - 483)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xae\xe2['\xaa\x01"), chr(100) + chr(101) + '\143' + chr(0b100101 + 0o112) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110 + 0o146) + '\x66' + '\055' + chr(0b11111 + 0o31))), xafqLlk3kkUe(SXOLrMavuUCe(b"\xae\xe2['\xaa\x01"), chr(100) + chr(101) + chr(0b1100011) + chr(0b11011 + 0o124) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1100111 + 0o15) + chr(102) + chr(1208 - 1163) + '\070')),)
def _oWXztVNnqHF(oVre8I6UXc3b, KK0ERS7DqYrY, brE0rWywr2cR=None, GP3fiKKWskI1=None):
if brE0rWywr2cR is not None and (not PlSM16l2KDPD(brE0rWywr2cR, YyaZ4tpXu4lf)):
brE0rWywr2cR = [brE0rWywr2cR]
if brE0rWywr2cR is not None:
if PlSM16l2KDPD(brE0rWywr2cR[ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(48), 34324 - 34316)], YUHmwdgm0K2P):
brE0rWywr2cR = oVre8I6UXc3b._jseq(brE0rWywr2cR)
else:
assert PlSM16l2KDPD(brE0rWywr2cR[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101001 + 0o7), 8)], fPAxuGjPVbis), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xe9\x1f!\xa1\x0b\xac>\xe1\xae\x1cvC\xe0\x91\xfb\xfd\xcd\x02\xfd\xd2]\x13\x12\xf9\x1e9\x88\x85\x97\x9f\t\xc4*n\xcd@'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + chr(0b1100101))(chr(748 - 631) + chr(0b100 + 0o160) + chr(0b1100110) + '\055' + '\x38')
brE0rWywr2cR = RSYsB9TMxo_y(lambda OeWW0F1dBPRQ, SqiSOtYOqOJH: OeWW0F1dBPRQ.__and__(SqiSOtYOqOJH), brE0rWywr2cR)
brE0rWywr2cR = brE0rWywr2cR._jc
if brE0rWywr2cR is None and GP3fiKKWskI1 is None:
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.join(KK0ERS7DqYrY._jdf)
else:
if GP3fiKKWskI1 is None:
GP3fiKKWskI1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xe9Q7\xbb'), chr(4212 - 4112) + '\145' + chr(99) + chr(8157 - 8046) + chr(5033 - 4933) + chr(1705 - 1604))('\165' + chr(4061 - 3945) + chr(102) + '\x2d' + chr(56))
if brE0rWywr2cR is None:
brE0rWywr2cR = oVre8I6UXc3b._jseq([])
assert PlSM16l2KDPD(GP3fiKKWskI1, YUHmwdgm0K2P), xafqLlk3kkUe(SXOLrMavuUCe(b"\xb4\xe8Hr\xba\x0c\xb6'\xe9\xea^q\x06\x83\x9c\xf6\xfb\xc5\x1f\xa9\xcfF]\x19"), chr(0b1100100) + chr(0b1100101) + chr(8658 - 8559) + '\x6f' + chr(0b111001 + 0o53) + chr(322 - 221))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b10110 + 0o42))
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.join(KK0ERS7DqYrY._jdf, brE0rWywr2cR, GP3fiKKWskI1)
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xf6S\r\xaa\x10\xa1'), chr(100) + chr(0b1100101) + chr(0b101000 + 0o73) + chr(7994 - 7883) + '\x64' + chr(101))('\x75' + '\164' + chr(0b1001101 + 0o31) + '\055' + '\x38')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.sortWithinPartitions
|
def sortWithinPartitions(self, *cols, **kwargs):
"""Returns a new :class:`DataFrame` with each partition sorted by the specified column(s).
:param cols: list of :class:`Column` or column names to sort by.
:param ascending: boolean or list of boolean (default True).
Sort ascending vs. descending. Specify list for multiple sort orders.
If a list is specified, length of the list must equal length of the `cols`.
>>> df.sortWithinPartitions("age", ascending=False).show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
+---+-----+
"""
jdf = self._jdf.sortWithinPartitions(self._sort_cols(cols, kwargs))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def sortWithinPartitions(self, *cols, **kwargs):
"""Returns a new :class:`DataFrame` with each partition sorted by the specified column(s).
:param cols: list of :class:`Column` or column names to sort by.
:param ascending: boolean or list of boolean (default True).
Sort ascending vs. descending. Specify list for multiple sort orders.
If a list is specified, length of the list must equal length of the `cols`.
>>> df.sortWithinPartitions("age", ascending=False).show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
+---+-----+
"""
jdf = self._jdf.sortWithinPartitions(self._sort_cols(cols, kwargs))
return DataFrame(jdf, self.sql_ctx)
|
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"sortWithinPartitions",
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",",
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",",
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"(",
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",",
"kwargs",
")",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
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"sql_ctx",
")"
] |
Returns a new :class:`DataFrame` with each partition sorted by the specified column(s).
:param cols: list of :class:`Column` or column names to sort by.
:param ascending: boolean or list of boolean (default True).
Sort ascending vs. descending. Specify list for multiple sort orders.
If a list is specified, length of the list must equal length of the `cols`.
>>> df.sortWithinPartitions("age", ascending=False).show()
+---+-----+
|age| name|
+---+-----+
| 2|Alice|
| 5| Bob|
+---+-----+
|
[
"Returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"with",
"each",
"partition",
"sorted",
"by",
"the",
"specified",
"column",
"(",
"s",
")",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1049-L1066
|
train
|
Returns a new DataFrame with each partition sorted by the specified column names.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1805 - 1757) + chr(0b1101111) + chr(0b110001) + '\x37' + '\x30', 2648 - 2640), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(3008 - 2897) + chr(2176 - 2127) + chr(2001 - 1946), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(2648 - 2593) + chr(0b101111 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b110001) + chr(1329 - 1279), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(1478 - 1424) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x32' + '\066', 44877 - 44869), ehT0Px3KOsy9(chr(378 - 330) + chr(0b1101111) + chr(0b110001) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101101 + 0o5) + chr(52) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11468 - 11357) + chr(2391 - 2337) + '\061', 0b1000), ehT0Px3KOsy9(chr(1233 - 1185) + chr(111) + chr(1817 - 1767) + chr(50) + '\065', 524 - 516), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\060' + chr(49), 40786 - 40778), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101101 + 0o4) + chr(2802 - 2747) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x31' + '\x35' + '\066', 19143 - 19135), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(209 - 157) + chr(0b100011 + 0o21), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110011) + '\060', 28056 - 28048), ehT0Px3KOsy9(chr(2189 - 2141) + '\157' + '\x32' + '\062' + chr(0b101 + 0o54), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b101001 + 0o14) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1529 - 1418) + chr(0b110011) + chr(0b110011) + chr(118 - 67), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o34) + '\x31' + chr(2677 - 2623), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b101 + 0o54) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10294 - 10183) + '\x32' + chr(0b11100 + 0o25) + chr(53), 45133 - 45125), ehT0Px3KOsy9('\060' + chr(8494 - 8383) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10011 + 0o41) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(1008 - 897) + chr(2180 - 2130) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(1947 - 1836) + chr(52) + chr(0b110000), 33261 - 33253), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2157 - 2108) + chr(0b110010) + chr(1849 - 1801), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101001 + 0o11) + chr(51) + chr(485 - 437), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(1940 - 1890) + chr(53), 62950 - 62942), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9(chr(162 - 114) + chr(5868 - 5757) + chr(50) + '\060' + '\063', 49770 - 49762), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b101011 + 0o5) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1110 + 0o46) + chr(50), 1606 - 1598), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110001 + 0o0) + chr(0b100111 + 0o16), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b101101 + 0o7) + chr(117 - 66), ord("\x08")), ehT0Px3KOsy9(chr(462 - 414) + chr(0b11100 + 0o123) + chr(0b110000 + 0o2) + chr(0b110111) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8765 - 8654) + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o40) + chr(50) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100 + 0o62) + chr(0b1000 + 0o51), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(1859 - 1809) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2083 - 2034) + chr(0b11010 + 0o27) + '\x36', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(1125 - 1072) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'V'), '\144' + '\145' + chr(0b1100011) + chr(111) + '\x64' + '\x65')('\x75' + '\x74' + chr(102) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Y3_cmqPWcyhG(oVre8I6UXc3b, *AIgvIWQd9onz, **M8EIoTs2GJXE):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.sortWithinPartitions(oVre8I6UXc3b._sort_cols(AIgvIWQd9onz, M8EIoTs2GJXE))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b~\xd3\x95\x90"\x03'), '\144' + chr(0b1011000 + 0o15) + chr(8936 - 8837) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110001 + 0o4) + chr(1387 - 1271) + chr(102) + chr(0b101101) + '\070')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame._jseq
|
def _jseq(self, cols, converter=None):
"""Return a JVM Seq of Columns from a list of Column or names"""
return _to_seq(self.sql_ctx._sc, cols, converter)
|
python
|
def _jseq(self, cols, converter=None):
"""Return a JVM Seq of Columns from a list of Column or names"""
return _to_seq(self.sql_ctx._sc, cols, converter)
|
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"_to_seq",
"(",
"self",
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"_sc",
",",
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",",
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] |
Return a JVM Seq of Columns from a list of Column or names
|
[
"Return",
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"Seq",
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1097-L1099
|
train
|
Return a JVM Seq of Columns from a list of Column names
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(0b110001 + 0o2) + chr(55) + chr(694 - 643), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + chr(0b110010) + '\066' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o22) + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110011) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1654 - 1604) + chr(49) + '\063', 0b1000), ehT0Px3KOsy9(chr(856 - 808) + '\157' + chr(1601 - 1551) + chr(49) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(3196 - 3085) + '\x33' + chr(55) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101110 + 0o5) + '\x36' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11101 + 0o24) + chr(54) + chr(0b101000 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\063' + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110110) + chr(0b111 + 0o51), 8), ehT0Px3KOsy9('\x30' + chr(1316 - 1205) + chr(0b110100), 14342 - 14334), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10110 + 0o35) + chr(0b110010) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9245 - 9134) + chr(0b11011 + 0o26) + chr(55) + chr(777 - 729), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2559 - 2508) + chr(0b110111) + chr(0b100011 + 0o21), 8), ehT0Px3KOsy9('\060' + '\157' + chr(54) + chr(979 - 926), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1000001 + 0o56) + chr(0b110010) + chr(0b110000) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(908 - 855) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\063' + '\x36' + chr(1267 - 1215), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(2108 - 2059) + chr(0b110100) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100 + 0o2) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(48) + chr(53), 36639 - 36631), ehT0Px3KOsy9('\060' + chr(4592 - 4481) + '\x33' + '\x34' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\061' + '\061' + chr(0b11110 + 0o23), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1109 - 998) + chr(0b101111 + 0o4) + '\x32' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(8119 - 8008) + chr(0b110010) + chr(0b11101 + 0o27) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(871 - 823) + '\x6f' + '\063' + chr(2944 - 2889) + chr(0b110101), 52910 - 52902), ehT0Px3KOsy9('\x30' + chr(1660 - 1549) + '\x31' + '\060' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2370 - 2320) + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1851 - 1803) + chr(0b1000011 + 0o54) + chr(668 - 616) + chr(0b101101 + 0o7), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100 + 0o56) + chr(0b101011 + 0o6), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b10001 + 0o43) + chr(51), 8), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(0b110010) + '\060' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\x31' + '\061', 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(8471 - 8360) + chr(0b110 + 0o53) + chr(0b1011 + 0o50) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + chr(2667 - 2612) + chr(1338 - 1289), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + '\x31' + chr(51) + chr(2198 - 2148), 49928 - 49920), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1011 - 958) + '\061', 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(3409 - 3298) + chr(50) + '\061' + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(8601 - 8490) + chr(2207 - 2154) + chr(0b101100 + 0o4), 61745 - 61737)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5'), chr(5595 - 5495) + chr(0b101111 + 0o66) + chr(99) + chr(0b11110 + 0o121) + chr(0b1100100) + chr(6464 - 6363))('\165' + chr(116) + '\146' + chr(328 - 283) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yE_GTUaveokW(oVre8I6UXc3b, AIgvIWQd9onz, wru4WosnIa3D=None):
return Bk0tYkgywaqG(xafqLlk3kkUe(oVre8I6UXc3b.sql_ctx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xc3\xd6'), '\x64' + '\145' + chr(99) + '\157' + chr(100) + '\145')('\x75' + chr(1849 - 1733) + '\x66' + chr(0b1100 + 0o41) + chr(0b111000))), AIgvIWQd9onz, wru4WosnIa3D)
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame._jcols
|
def _jcols(self, *cols):
"""Return a JVM Seq of Columns from a list of Column or column names
If `cols` has only one list in it, cols[0] will be used as the list.
"""
if len(cols) == 1 and isinstance(cols[0], list):
cols = cols[0]
return self._jseq(cols, _to_java_column)
|
python
|
def _jcols(self, *cols):
"""Return a JVM Seq of Columns from a list of Column or column names
If `cols` has only one list in it, cols[0] will be used as the list.
"""
if len(cols) == 1 and isinstance(cols[0], list):
cols = cols[0]
return self._jseq(cols, _to_java_column)
|
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"return",
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"_jseq",
"(",
"cols",
",",
"_to_java_column",
")"
] |
Return a JVM Seq of Columns from a list of Column or column names
If `cols` has only one list in it, cols[0] will be used as the list.
|
[
"Return",
"a",
"JVM",
"Seq",
"of",
"Columns",
"from",
"a",
"list",
"of",
"Column",
"or",
"column",
"names"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1105-L1112
|
train
|
Return a JVM Seq of Columns from a list of Column or column names
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11010 + 0o31) + '\064' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(2140 - 2092) + '\157' + chr(990 - 940) + chr(51) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b11010 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(51) + chr(2065 - 2015) + '\x37', 44660 - 44652), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b110010) + '\x35' + chr(259 - 206), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100010 + 0o21) + chr(1752 - 1704) + '\x31', 20065 - 20057), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2122 - 2073) + chr(0b11100 + 0o32) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11507 - 11396) + chr(1286 - 1235) + chr(467 - 412) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\062' + chr(0b110000) + chr(445 - 397), 0o10), ehT0Px3KOsy9(chr(48) + chr(6905 - 6794) + chr(50) + chr(52) + chr(1870 - 1816), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100011 + 0o17) + '\x36' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110001) + '\x31', 32113 - 32105), ehT0Px3KOsy9(chr(654 - 606) + '\157' + chr(1443 - 1393) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b101010 + 0o12) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + '\067', 0o10), ehT0Px3KOsy9(chr(201 - 153) + chr(111) + chr(1004 - 954) + '\x33', 8), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(49) + chr(0b101100 + 0o11) + chr(53), 28653 - 28645), ehT0Px3KOsy9(chr(120 - 72) + '\157' + chr(0b1001 + 0o52) + '\062' + '\067', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(485 - 431) + chr(207 - 152), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4671 - 4560) + chr(777 - 727) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10312 - 10201) + chr(51) + '\x37' + chr(54), 52815 - 52807), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\067' + chr(938 - 885), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x30' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(2131 - 2081) + chr(0b111 + 0o57) + chr(49), 49904 - 49896), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(53), 13740 - 13732), ehT0Px3KOsy9('\060' + chr(9008 - 8897) + '\061' + chr(0b101000 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + chr(736 - 625) + '\062' + '\x30' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x32' + chr(0b10100 + 0o41), 55163 - 55155), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\x33' + chr(2098 - 2050) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(842 - 793) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(169 - 116) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\064' + chr(540 - 486), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(51) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101000 + 0o11) + chr(49) + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(2065 - 2013) + chr(709 - 657), 0o10), ehT0Px3KOsy9(chr(1786 - 1738) + '\157' + chr(0b110001) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(704 - 653) + '\x31' + '\061', 15995 - 15987), ehT0Px3KOsy9(chr(0b110000) + chr(8145 - 8034) + chr(50) + chr(53) + chr(2144 - 2095), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b100010 + 0o17) + chr(52), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o25) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc'), chr(8922 - 8822) + '\145' + chr(4840 - 4741) + chr(0b1101111) + '\144' + chr(0b1011 + 0o132))(chr(117) + chr(4773 - 4657) + '\x66' + chr(45) + chr(0b110000 + 0o10)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dr7xBaSvZXsm(oVre8I6UXc3b, *AIgvIWQd9onz):
if c2A0yzQpDQB3(AIgvIWQd9onz) == ehT0Px3KOsy9(chr(348 - 300) + chr(111) + chr(1599 - 1550), 0o10) and PlSM16l2KDPD(AIgvIWQd9onz[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o5), ord("\x08"))], YyaZ4tpXu4lf):
AIgvIWQd9onz = AIgvIWQd9onz[ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b101010 + 0o105) + '\x30', 8)]
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xf0Iq\xa6'), '\144' + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(0b11010 + 0o133) + '\164' + '\146' + '\x2d' + chr(963 - 907)))(AIgvIWQd9onz, ojXw9eNBnNNo)
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame._sort_cols
|
def _sort_cols(self, cols, kwargs):
""" Return a JVM Seq of Columns that describes the sort order
"""
if not cols:
raise ValueError("should sort by at least one column")
if len(cols) == 1 and isinstance(cols[0], list):
cols = cols[0]
jcols = [_to_java_column(c) for c in cols]
ascending = kwargs.get('ascending', True)
if isinstance(ascending, (bool, int)):
if not ascending:
jcols = [jc.desc() for jc in jcols]
elif isinstance(ascending, list):
jcols = [jc if asc else jc.desc()
for asc, jc in zip(ascending, jcols)]
else:
raise TypeError("ascending can only be boolean or list, but got %s" % type(ascending))
return self._jseq(jcols)
|
python
|
def _sort_cols(self, cols, kwargs):
""" Return a JVM Seq of Columns that describes the sort order
"""
if not cols:
raise ValueError("should sort by at least one column")
if len(cols) == 1 and isinstance(cols[0], list):
cols = cols[0]
jcols = [_to_java_column(c) for c in cols]
ascending = kwargs.get('ascending', True)
if isinstance(ascending, (bool, int)):
if not ascending:
jcols = [jc.desc() for jc in jcols]
elif isinstance(ascending, list):
jcols = [jc if asc else jc.desc()
for asc, jc in zip(ascending, jcols)]
else:
raise TypeError("ascending can only be boolean or list, but got %s" % type(ascending))
return self._jseq(jcols)
|
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] |
Return a JVM Seq of Columns that describes the sort order
|
[
"Return",
"a",
"JVM",
"Seq",
"of",
"Columns",
"that",
"describes",
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"sort",
"order"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1114-L1131
|
train
|
Returns a JVM Seq of Columns that describes the sort order
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(0b110001) + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(902 - 854) + '\x6f' + chr(2381 - 2332) + chr(0b110100) + '\062', 28438 - 28430), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2983 - 2928) + chr(478 - 426), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b101101 + 0o11) + chr(2745 - 2692), 12694 - 12686), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + chr(0b1111 + 0o43) + chr(0b100101 + 0o13) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(52) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6294 - 6183) + '\x36' + '\064', 52220 - 52212), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\064' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(1550 - 1500) + chr(2693 - 2638) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\062' + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(1097 - 1048) + chr(0b111 + 0o52), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b110001) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b10111 + 0o36) + chr(2058 - 2010), 53348 - 53340), ehT0Px3KOsy9('\x30' + '\157' + chr(239 - 189) + chr(0b110100) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(915 - 864) + chr(0b110000) + chr(511 - 456), 28522 - 28514), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(9265 - 9154) + chr(53) + '\x36', 0o10), ehT0Px3KOsy9(chr(409 - 361) + '\x6f' + chr(0b1111 + 0o45) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1651 - 1603) + chr(7305 - 7194) + chr(49) + chr(0b110000) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(1850 - 1802) + chr(51), 43429 - 43421), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101010 + 0o7) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11111 + 0o23) + chr(0b100000 + 0o23) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1000 + 0o53) + chr(0b110010) + '\062', 42086 - 42078), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\x32' + chr(0b1000 + 0o51) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(0b100101 + 0o14) + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2239 - 2191) + '\157' + '\x33' + chr(50) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(1688 - 1577) + chr(0b11101 + 0o26) + chr(0b1100 + 0o52) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x34', 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(2251 - 2197), 0o10), ehT0Px3KOsy9(chr(1781 - 1733) + chr(111) + chr(916 - 863) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11101 + 0o25) + chr(49) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(49) + '\061' + chr(2649 - 2595), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(53) + '\x33', 0b1000), ehT0Px3KOsy9(chr(420 - 372) + chr(111) + chr(0b110000 + 0o2) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(0b110011) + chr(48) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b110010) + '\065' + chr(1100 - 1052), 46195 - 46187), ehT0Px3KOsy9(chr(48) + chr(7325 - 7214) + chr(674 - 625) + chr(0b110100) + chr(0b11011 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(908 - 860), 39189 - 39181), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2153 - 2104) + '\061' + '\067', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(53) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'q'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + '\x65')(chr(0b110000 + 0o105) + '\164' + chr(0b1100110) + '\x2d' + chr(0b110111 + 0o1)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def TSTN0H0m9R9R(oVre8I6UXc3b, AIgvIWQd9onz, M8EIoTs2GJXE):
if not AIgvIWQd9onz:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b',\nS\x00\xec\x07\x14\xd0\xd0\xc3\xbd,\x8a\xdc_\xa6Z\x05\x9d#"\xb9\xec\xf2\xe5!\xb2\xd0oiD\xfe#E'), chr(0b1001011 + 0o31) + chr(8975 - 8874) + '\x63' + chr(0b1101111) + chr(0b110011 + 0o61) + chr(0b100 + 0o141))(chr(1048 - 931) + '\164' + '\146' + chr(0b100 + 0o51) + chr(0b111000)))
if c2A0yzQpDQB3(AIgvIWQd9onz) == ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\061', ord("\x08")) and PlSM16l2KDPD(AIgvIWQd9onz[ehT0Px3KOsy9(chr(2223 - 2175) + chr(5294 - 5183) + chr(48), ord("\x08"))], YyaZ4tpXu4lf):
AIgvIWQd9onz = AIgvIWQd9onz[ehT0Px3KOsy9('\060' + chr(10930 - 10819) + chr(0b110000), 8)]
KH65D6jVJu10 = [ojXw9eNBnNNo(qzn1Ctg9WgNh) for qzn1Ctg9WgNh in AIgvIWQd9onz]
OtwBK3ePE1cK = M8EIoTs2GJXE.get(xafqLlk3kkUe(SXOLrMavuUCe(b'>\x11_\x10\xee\x07]\xcd\xd8'), chr(100) + '\145' + chr(0b1011111 + 0o4) + '\x6f' + '\x64' + chr(0b1100101))('\165' + chr(0b1100110 + 0o16) + '\146' + chr(0b101101) + chr(2302 - 2246)), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(104 - 55), 8))
if PlSM16l2KDPD(OtwBK3ePE1cK, (WbBjf8Y7v9VN, ehT0Px3KOsy9)):
if not OtwBK3ePE1cK:
KH65D6jVJu10 = [XQb6BIjWDEu0.desc() for XQb6BIjWDEu0 in KH65D6jVJu10]
elif PlSM16l2KDPD(OtwBK3ePE1cK, YyaZ4tpXu4lf):
KH65D6jVJu10 = [XQb6BIjWDEu0 if d_q4GsW9YcAr else XQb6BIjWDEu0.desc() for (d_q4GsW9YcAr, XQb6BIjWDEu0) in pZ0NK2y6HRbn(OtwBK3ePE1cK, KH65D6jVJu10)]
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'>\x11_\x10\xee\x07]\xcd\xd8\x91\xaam\x86\x85\x10\xa9B\\\xd1$&\xea\xfa\xbd\xe5#\xb2\x91b&G\xf9nGy\xb2\xdcH8-*\x16\x1c\x12\xef\x17\x14\x86\xcc'), chr(0b1000000 + 0o44) + chr(101) + chr(1154 - 1055) + chr(111) + '\x64' + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(0b101101) + '\x38') % wmQmyeWBmUpv(OtwBK3ePE1cK))
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\x08O\x10\xf1'), '\x64' + chr(101) + '\x63' + '\x6f' + chr(4761 - 4661) + chr(2373 - 2272))('\x75' + '\x74' + '\x66' + chr(45) + chr(0b1011 + 0o55)))(KH65D6jVJu10)
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.describe
|
def describe(self, *cols):
"""Computes basic statistics for numeric and string columns.
This include count, mean, stddev, min, and max. If no columns are
given, this function computes statistics for all numerical or string columns.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
>>> df.describe(['age']).show()
+-------+------------------+
|summary| age|
+-------+------------------+
| count| 2|
| mean| 3.5|
| stddev|2.1213203435596424|
| min| 2|
| max| 5|
+-------+------------------+
>>> df.describe().show()
+-------+------------------+-----+
|summary| age| name|
+-------+------------------+-----+
| count| 2| 2|
| mean| 3.5| null|
| stddev|2.1213203435596424| null|
| min| 2|Alice|
| max| 5| Bob|
+-------+------------------+-----+
Use summary for expanded statistics and control over which statistics to compute.
"""
if len(cols) == 1 and isinstance(cols[0], list):
cols = cols[0]
jdf = self._jdf.describe(self._jseq(cols))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def describe(self, *cols):
"""Computes basic statistics for numeric and string columns.
This include count, mean, stddev, min, and max. If no columns are
given, this function computes statistics for all numerical or string columns.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
>>> df.describe(['age']).show()
+-------+------------------+
|summary| age|
+-------+------------------+
| count| 2|
| mean| 3.5|
| stddev|2.1213203435596424|
| min| 2|
| max| 5|
+-------+------------------+
>>> df.describe().show()
+-------+------------------+-----+
|summary| age| name|
+-------+------------------+-----+
| count| 2| 2|
| mean| 3.5| null|
| stddev|2.1213203435596424| null|
| min| 2|Alice|
| max| 5| Bob|
+-------+------------------+-----+
Use summary for expanded statistics and control over which statistics to compute.
"""
if len(cols) == 1 and isinstance(cols[0], list):
cols = cols[0]
jdf = self._jdf.describe(self._jseq(cols))
return DataFrame(jdf, self.sql_ctx)
|
[
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"describe",
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"self",
",",
"*",
"cols",
")",
":",
"if",
"len",
"(",
"cols",
")",
"==",
"1",
"and",
"isinstance",
"(",
"cols",
"[",
"0",
"]",
",",
"list",
")",
":",
"cols",
"=",
"cols",
"[",
"0",
"]",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"describe",
"(",
"self",
".",
"_jseq",
"(",
"cols",
")",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
".",
"sql_ctx",
")"
] |
Computes basic statistics for numeric and string columns.
This include count, mean, stddev, min, and max. If no columns are
given, this function computes statistics for all numerical or string columns.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
>>> df.describe(['age']).show()
+-------+------------------+
|summary| age|
+-------+------------------+
| count| 2|
| mean| 3.5|
| stddev|2.1213203435596424|
| min| 2|
| max| 5|
+-------+------------------+
>>> df.describe().show()
+-------+------------------+-----+
|summary| age| name|
+-------+------------------+-----+
| count| 2| 2|
| mean| 3.5| null|
| stddev|2.1213203435596424| null|
| min| 2|Alice|
| max| 5| Bob|
+-------+------------------+-----+
Use summary for expanded statistics and control over which statistics to compute.
|
[
"Computes",
"basic",
"statistics",
"for",
"numeric",
"and",
"string",
"columns",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1134-L1169
|
train
|
Returns a DataFrame with basic statistics for the given columns.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(50) + chr(0b1 + 0o61), 24411 - 24403), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(48) + chr(52), 43862 - 43854), ehT0Px3KOsy9(chr(908 - 860) + chr(0b1101111) + '\x33' + chr(0b100111 + 0o17) + chr(0b101010 + 0o13), 0o10), ehT0Px3KOsy9(chr(2196 - 2148) + chr(5249 - 5138) + chr(1356 - 1305) + chr(0b110011) + chr(0b11011 + 0o25), 0o10), ehT0Px3KOsy9(chr(614 - 566) + chr(0b1101111) + chr(0b10 + 0o60) + chr(53) + chr(54), 0o10), ehT0Px3KOsy9(chr(1347 - 1299) + '\x6f' + chr(49) + chr(55) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(888 - 836) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10111 + 0o33) + '\061' + chr(0b1 + 0o61), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\063' + chr(2512 - 2458), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(48) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(53) + '\x35', 1827 - 1819), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(822 - 771) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(6923 - 6812) + chr(55), 7555 - 7547), ehT0Px3KOsy9(chr(380 - 332) + chr(0b1101111) + chr(0b110010) + '\060' + chr(93 - 44), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\061' + chr(0b110 + 0o52) + chr(2749 - 2695), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b100110 + 0o13) + chr(0b110101) + chr(53), 45641 - 45633), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(161 - 111) + chr(55) + chr(0b100001 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b110010) + chr(419 - 366) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(154 - 104) + chr(0b110110) + '\065', 30595 - 30587), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(50) + chr(48) + chr(1166 - 1114), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(0b10010 + 0o42) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + '\x33' + chr(2523 - 2468), ord("\x08")), ehT0Px3KOsy9(chr(992 - 944) + chr(111) + '\x33' + chr(54) + chr(0b11110 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(970 - 917), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2684 - 2573) + '\061' + '\x35' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b11011 + 0o26) + chr(0b10101 + 0o34) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(7229 - 7118) + chr(53) + chr(0b110 + 0o61), 63567 - 63559), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(2454 - 2403) + chr(2125 - 2074) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2873 - 2762) + chr(734 - 685) + '\x32' + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(4273 - 4162) + chr(0b110010) + chr(0b1011 + 0o52) + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(3831 - 3720) + chr(1072 - 1022) + chr(53) + chr(0b110000), 29329 - 29321), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110001) + chr(52), 18006 - 17998), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + chr(0b110110), 48975 - 48967), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100000 + 0o22) + chr(55) + chr(0b110100), 8), ehT0Px3KOsy9(chr(1396 - 1348) + '\157' + '\x32' + chr(646 - 594) + '\x33', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), '\x64' + '\145' + '\x63' + chr(3519 - 3408) + chr(0b110001 + 0o63) + chr(0b101101 + 0o70))(chr(0b101000 + 0o115) + chr(8114 - 7998) + chr(7476 - 7374) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def j_jWiGtTYHG3(oVre8I6UXc3b, *AIgvIWQd9onz):
if c2A0yzQpDQB3(AIgvIWQd9onz) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + '\061', 8) and PlSM16l2KDPD(AIgvIWQd9onz[ehT0Px3KOsy9(chr(48) + chr(111) + chr(1467 - 1419), ord("\x08"))], YyaZ4tpXu4lf):
AIgvIWQd9onz = AIgvIWQd9onz[ehT0Px3KOsy9('\060' + chr(111) + chr(48), 8)]
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.describe(oVre8I6UXc3b._jseq(AIgvIWQd9onz))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xb5\x99\x87\xcd\x0c\xc9'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + '\x64' + chr(0b101010 + 0o73))(chr(7362 - 7245) + chr(116) + chr(102) + '\x2d' + chr(2967 - 2911))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.summary
|
def summary(self, *statistics):
"""Computes specified statistics for numeric and string columns. Available statistics are:
- count
- mean
- stddev
- min
- max
- arbitrary approximate percentiles specified as a percentage (eg, 75%)
If no statistics are given, this function computes count, mean, stddev, min,
approximate quartiles (percentiles at 25%, 50%, and 75%), and max.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
>>> df.summary().show()
+-------+------------------+-----+
|summary| age| name|
+-------+------------------+-----+
| count| 2| 2|
| mean| 3.5| null|
| stddev|2.1213203435596424| null|
| min| 2|Alice|
| 25%| 2| null|
| 50%| 2| null|
| 75%| 5| null|
| max| 5| Bob|
+-------+------------------+-----+
>>> df.summary("count", "min", "25%", "75%", "max").show()
+-------+---+-----+
|summary|age| name|
+-------+---+-----+
| count| 2| 2|
| min| 2|Alice|
| 25%| 2| null|
| 75%| 5| null|
| max| 5| Bob|
+-------+---+-----+
To do a summary for specific columns first select them:
>>> df.select("age", "name").summary("count").show()
+-------+---+----+
|summary|age|name|
+-------+---+----+
| count| 2| 2|
+-------+---+----+
See also describe for basic statistics.
"""
if len(statistics) == 1 and isinstance(statistics[0], list):
statistics = statistics[0]
jdf = self._jdf.summary(self._jseq(statistics))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def summary(self, *statistics):
"""Computes specified statistics for numeric and string columns. Available statistics are:
- count
- mean
- stddev
- min
- max
- arbitrary approximate percentiles specified as a percentage (eg, 75%)
If no statistics are given, this function computes count, mean, stddev, min,
approximate quartiles (percentiles at 25%, 50%, and 75%), and max.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
>>> df.summary().show()
+-------+------------------+-----+
|summary| age| name|
+-------+------------------+-----+
| count| 2| 2|
| mean| 3.5| null|
| stddev|2.1213203435596424| null|
| min| 2|Alice|
| 25%| 2| null|
| 50%| 2| null|
| 75%| 5| null|
| max| 5| Bob|
+-------+------------------+-----+
>>> df.summary("count", "min", "25%", "75%", "max").show()
+-------+---+-----+
|summary|age| name|
+-------+---+-----+
| count| 2| 2|
| min| 2|Alice|
| 25%| 2| null|
| 75%| 5| null|
| max| 5| Bob|
+-------+---+-----+
To do a summary for specific columns first select them:
>>> df.select("age", "name").summary("count").show()
+-------+---+----+
|summary|age|name|
+-------+---+----+
| count| 2| 2|
+-------+---+----+
See also describe for basic statistics.
"""
if len(statistics) == 1 and isinstance(statistics[0], list):
statistics = statistics[0]
jdf = self._jdf.summary(self._jseq(statistics))
return DataFrame(jdf, self.sql_ctx)
|
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] |
Computes specified statistics for numeric and string columns. Available statistics are:
- count
- mean
- stddev
- min
- max
- arbitrary approximate percentiles specified as a percentage (eg, 75%)
If no statistics are given, this function computes count, mean, stddev, min,
approximate quartiles (percentiles at 25%, 50%, and 75%), and max.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
>>> df.summary().show()
+-------+------------------+-----+
|summary| age| name|
+-------+------------------+-----+
| count| 2| 2|
| mean| 3.5| null|
| stddev|2.1213203435596424| null|
| min| 2|Alice|
| 25%| 2| null|
| 50%| 2| null|
| 75%| 5| null|
| max| 5| Bob|
+-------+------------------+-----+
>>> df.summary("count", "min", "25%", "75%", "max").show()
+-------+---+-----+
|summary|age| name|
+-------+---+-----+
| count| 2| 2|
| min| 2|Alice|
| 25%| 2| null|
| 75%| 5| null|
| max| 5| Bob|
+-------+---+-----+
To do a summary for specific columns first select them:
>>> df.select("age", "name").summary("count").show()
+-------+---+----+
|summary|age|name|
+-------+---+----+
| count| 2| 2|
+-------+---+----+
See also describe for basic statistics.
|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1172-L1226
|
train
|
Shows the summary of the specified statistics for the specified numeric and string columns.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(0b110001) + chr(0b100100 + 0o20) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(538 - 485) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(2589 - 2534) + chr(2794 - 2739), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(49) + '\x30', 50118 - 50110), ehT0Px3KOsy9('\060' + chr(3423 - 3312) + chr(0b110001) + '\x32' + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(104 - 53) + chr(0b10001 + 0o40) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b11101 + 0o122) + chr(2162 - 2112) + '\x35' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(9500 - 9389) + '\062' + chr(291 - 240) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1424 - 1370) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1905 - 1857) + '\x6f' + '\x33' + '\x32' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b1101 + 0o46) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(7593 - 7482) + '\x31' + chr(2772 - 2718) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1001 + 0o52) + chr(0b110100) + chr(0b100011 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\x34' + '\x37', 19983 - 19975), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(2617 - 2564) + '\064', 42224 - 42216), ehT0Px3KOsy9(chr(1534 - 1486) + chr(6401 - 6290) + chr(1206 - 1154) + chr(0b110011), 27401 - 27393), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x34' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + '\x31' + chr(2244 - 2195), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(54) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b10101 + 0o42) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110110) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(2438 - 2388), 49683 - 49675), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(0b10100 + 0o37) + chr(0b110 + 0o54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o33) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6671 - 6560) + chr(0b101100 + 0o7) + chr(0b100111 + 0o15) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(7102 - 6991) + chr(0b1000 + 0o56), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1100 + 0o46) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b11011 + 0o32) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + '\x32' + chr(0b110001) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(53) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1020 - 970) + chr(51) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(0b110001) + '\066' + chr(426 - 375), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b110010) + '\x31' + '\061', 61163 - 61155), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(747 - 697) + '\x35' + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\060' + chr(0b110010), 59922 - 59914), ehT0Px3KOsy9(chr(207 - 159) + chr(8396 - 8285) + '\x31' + '\x35' + chr(2320 - 2267), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1366 - 1317), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1690 - 1640) + chr(0b11011 + 0o25), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(53) + chr(0b100111 + 0o11), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'J'), chr(0b100001 + 0o103) + chr(101) + chr(4968 - 4869) + chr(0b1 + 0o156) + chr(0b1100100) + '\x65')('\165' + '\x74' + chr(3078 - 2976) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oLgyQ45ORWXM(oVre8I6UXc3b, *YUsWrtZTFZy3):
if c2A0yzQpDQB3(YUsWrtZTFZy3) == ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 8) and PlSM16l2KDPD(YUsWrtZTFZy3[ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\x30', 0b1000)], YyaZ4tpXu4lf):
YUsWrtZTFZy3 = YUsWrtZTFZy3[ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(0b1010 + 0o46), 8)]
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.summary(oVre8I6UXc3b._jseq(YUsWrtZTFZy3))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xd8Q\xa0\xeb!\xb2'), '\x64' + chr(101) + '\143' + '\157' + chr(5935 - 5835) + '\x65')('\x75' + chr(0b11000 + 0o134) + chr(1136 - 1034) + chr(0b101101) + chr(0b110010 + 0o6))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.head
|
def head(self, n=None):
"""Returns the first ``n`` rows.
.. note:: This method should only be used if the resulting array is expected
to be small, as all the data is loaded into the driver's memory.
:param n: int, default 1. Number of rows to return.
:return: If n is greater than 1, return a list of :class:`Row`.
If n is 1, return a single Row.
>>> df.head()
Row(age=2, name=u'Alice')
>>> df.head(1)
[Row(age=2, name=u'Alice')]
"""
if n is None:
rs = self.head(1)
return rs[0] if rs else None
return self.take(n)
|
python
|
def head(self, n=None):
"""Returns the first ``n`` rows.
.. note:: This method should only be used if the resulting array is expected
to be small, as all the data is loaded into the driver's memory.
:param n: int, default 1. Number of rows to return.
:return: If n is greater than 1, return a list of :class:`Row`.
If n is 1, return a single Row.
>>> df.head()
Row(age=2, name=u'Alice')
>>> df.head(1)
[Row(age=2, name=u'Alice')]
"""
if n is None:
rs = self.head(1)
return rs[0] if rs else None
return self.take(n)
|
[
"def",
"head",
"(",
"self",
",",
"n",
"=",
"None",
")",
":",
"if",
"n",
"is",
"None",
":",
"rs",
"=",
"self",
".",
"head",
"(",
"1",
")",
"return",
"rs",
"[",
"0",
"]",
"if",
"rs",
"else",
"None",
"return",
"self",
".",
"take",
"(",
"n",
")"
] |
Returns the first ``n`` rows.
.. note:: This method should only be used if the resulting array is expected
to be small, as all the data is loaded into the driver's memory.
:param n: int, default 1. Number of rows to return.
:return: If n is greater than 1, return a list of :class:`Row`.
If n is 1, return a single Row.
>>> df.head()
Row(age=2, name=u'Alice')
>>> df.head(1)
[Row(age=2, name=u'Alice')]
|
[
"Returns",
"the",
"first",
"n",
"rows",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1230-L1248
|
train
|
Returns the first n rows.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(796 - 741) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b11111 + 0o23) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2458 - 2408) + '\x32' + '\061', 24507 - 24499), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110001) + chr(0b1100 + 0o47), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(1935 - 1885) + chr(0b1111 + 0o50) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(0b110011 + 0o0) + '\x36' + '\062', 6335 - 6327), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2027 - 1978) + '\063' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x34' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5478 - 5367) + '\061' + chr(0b110111) + chr(0b10110 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9746 - 9635) + '\063' + chr(48) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(0b110011 + 0o0) + chr(53) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\065' + chr(0b100110 + 0o15), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5709 - 5598) + '\x33' + chr(1388 - 1340) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1394 - 1345) + '\061' + chr(0b11100 + 0o27), 0b1000), ehT0Px3KOsy9(chr(1573 - 1525) + '\x6f' + chr(51) + '\064' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b11000 + 0o36) + chr(0b10100 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(50) + '\060', 34116 - 34108), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b110000 + 0o77) + chr(0b1010 + 0o50) + chr(927 - 875) + '\x32', 8), ehT0Px3KOsy9('\060' + chr(2289 - 2178) + '\062' + chr(0b11 + 0o57) + chr(0b110000), 8), ehT0Px3KOsy9(chr(334 - 286) + chr(0b1101001 + 0o6) + '\x31' + chr(55) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(8269 - 8158) + chr(134 - 85) + '\061' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x37' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(54) + chr(0b11011 + 0o33), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + chr(1579 - 1529) + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b101100 + 0o10) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b1 + 0o57) + chr(1402 - 1349), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(49) + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2111 - 2059) + chr(0b110000), 65327 - 65319), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b110001) + '\062' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(681 - 633) + '\x6f' + '\060', 59137 - 59129), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\063' + chr(48), 59134 - 59126), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1010111 + 0o30) + '\067' + chr(54), 0o10), ehT0Px3KOsy9(chr(2154 - 2106) + chr(111) + chr(1954 - 1903) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + chr(0b110010), 42852 - 42844), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\x37', 19880 - 19872), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(51) + chr(0b110001) + '\x35', 762 - 754)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + chr(0b110000), 51777 - 51769)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x92'), '\x64' + chr(0b1100101) + chr(0b1001001 + 0o32) + chr(7718 - 7607) + '\x64' + '\145')(chr(10373 - 10256) + '\164' + chr(8655 - 8553) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jTNf3myQ667Q(oVre8I6UXc3b, m1NkCryOw9Bx=None):
if m1NkCryOw9Bx is None:
qIqauEC32C0A = oVre8I6UXc3b.head(ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + '\061', 25239 - 25231))
return qIqauEC32C0A[ehT0Px3KOsy9(chr(806 - 758) + '\157' + chr(2204 - 2156), 8)] if qIqauEC32C0A else None
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8my\xf4'), chr(0b100100 + 0o100) + chr(0b1100101) + '\143' + chr(0b1010 + 0o145) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(10388 - 10286) + chr(0b101101) + chr(56)))(m1NkCryOw9Bx)
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.select
|
def select(self, *cols):
"""Projects a set of expressions and returns a new :class:`DataFrame`.
:param cols: list of column names (string) or expressions (:class:`Column`).
If one of the column names is '*', that column is expanded to include all columns
in the current DataFrame.
>>> df.select('*').collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
>>> df.select('name', 'age').collect()
[Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]
>>> df.select(df.name, (df.age + 10).alias('age')).collect()
[Row(name=u'Alice', age=12), Row(name=u'Bob', age=15)]
"""
jdf = self._jdf.select(self._jcols(*cols))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def select(self, *cols):
"""Projects a set of expressions and returns a new :class:`DataFrame`.
:param cols: list of column names (string) or expressions (:class:`Column`).
If one of the column names is '*', that column is expanded to include all columns
in the current DataFrame.
>>> df.select('*').collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
>>> df.select('name', 'age').collect()
[Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]
>>> df.select(df.name, (df.age + 10).alias('age')).collect()
[Row(name=u'Alice', age=12), Row(name=u'Bob', age=15)]
"""
jdf = self._jdf.select(self._jcols(*cols))
return DataFrame(jdf, self.sql_ctx)
|
[
"def",
"select",
"(",
"self",
",",
"*",
"cols",
")",
":",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"select",
"(",
"self",
".",
"_jcols",
"(",
"*",
"cols",
")",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
".",
"sql_ctx",
")"
] |
Projects a set of expressions and returns a new :class:`DataFrame`.
:param cols: list of column names (string) or expressions (:class:`Column`).
If one of the column names is '*', that column is expanded to include all columns
in the current DataFrame.
>>> df.select('*').collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
>>> df.select('name', 'age').collect()
[Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]
>>> df.select(df.name, (df.age + 10).alias('age')).collect()
[Row(name=u'Alice', age=12), Row(name=u'Bob', age=15)]
|
[
"Projects",
"a",
"set",
"of",
"expressions",
"and",
"returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1302-L1317
|
train
|
Projects a set of expressions and returns a new DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110111) + '\x37', 5413 - 5405), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110000) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(291 - 242) + chr(55) + chr(684 - 632), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1000110 + 0o51) + chr(1694 - 1645) + chr(0b110101) + chr(0b100100 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(73 - 24) + chr(0b11001 + 0o34) + chr(0b100100 + 0o17), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(843 - 793) + chr(50) + chr(0b111 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110101) + chr(0b11000 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110010) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o16) + chr(889 - 840) + '\061', 14330 - 14322), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\060' + chr(0b110100), 8), ehT0Px3KOsy9(chr(2038 - 1990) + '\157' + '\063' + chr(51) + chr(0b1000 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(2110 - 2062) + chr(0b1101111) + chr(0b110011) + '\067' + '\x33', 23455 - 23447), ehT0Px3KOsy9('\060' + '\157' + chr(1217 - 1168) + chr(2297 - 2245) + chr(0b110000), 47721 - 47713), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(0b110001) + '\060' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + chr(849 - 799) + '\x33' + '\063', 0o10), ehT0Px3KOsy9(chr(1077 - 1029) + chr(7855 - 7744) + chr(1500 - 1451) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2308 - 2259) + chr(0b110010 + 0o3) + chr(2126 - 2075), 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1001010 + 0o45) + chr(0b110010) + chr(2265 - 2217) + chr(49), 24760 - 24752), ehT0Px3KOsy9('\x30' + '\x6f' + chr(381 - 330) + chr(0b101100 + 0o4) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + '\061' + chr(2458 - 2403) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2531 - 2420) + chr(51) + chr(0b110101) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\064', 47104 - 47096), ehT0Px3KOsy9(chr(425 - 377) + chr(0b111 + 0o150) + chr(115 - 62) + chr(0b111 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(1664 - 1616) + chr(0b1001 + 0o146) + chr(50) + chr(356 - 305) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1194 - 1146) + chr(9647 - 9536) + chr(2359 - 2309) + chr(0b100101 + 0o15) + chr(2414 - 2359), 0b1000), ehT0Px3KOsy9(chr(1173 - 1125) + chr(111) + chr(0b101101 + 0o5) + chr(0b110101) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(2197 - 2086) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(10600 - 10489) + chr(0b100000 + 0o26) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2126 - 2078) + '\157' + chr(83 - 28), 0o10), ehT0Px3KOsy9(chr(790 - 742) + chr(0b1101111) + chr(1146 - 1096) + chr(0b110101) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(0b110010) + chr(0b110010) + chr(823 - 771), 0b1000), ehT0Px3KOsy9(chr(1573 - 1525) + chr(0b1101111) + chr(49) + '\x31' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\063' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(1349 - 1300) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1417 - 1369) + chr(0b1101101 + 0o2) + chr(50) + chr(0b110101) + chr(0b101011 + 0o7), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(494 - 445) + chr(2302 - 2249) + chr(49), 31732 - 31724)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(7135 - 7024) + chr(0b110101) + chr(2301 - 2253), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), '\144' + chr(9136 - 9035) + chr(0b1100011) + chr(0b1100010 + 0o15) + '\x64' + chr(0b1100101))('\165' + chr(116) + chr(1876 - 1774) + chr(45) + chr(2990 - 2934)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kXynwsdQLnwz(oVre8I6UXc3b, *AIgvIWQd9onz):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.select(oVre8I6UXc3b._jcols(*AIgvIWQd9onz))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xb5\x105\x08\xe1\x95'), chr(0b10100 + 0o120) + chr(101) + '\143' + chr(0b1101111) + chr(5910 - 5810) + chr(101))(chr(0b1110101) + '\164' + chr(0b1010110 + 0o20) + '\x2d' + chr(0b10011 + 0o45))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.selectExpr
|
def selectExpr(self, *expr):
"""Projects a set of SQL expressions and returns a new :class:`DataFrame`.
This is a variant of :func:`select` that accepts SQL expressions.
>>> df.selectExpr("age * 2", "abs(age)").collect()
[Row((age * 2)=4, abs(age)=2), Row((age * 2)=10, abs(age)=5)]
"""
if len(expr) == 1 and isinstance(expr[0], list):
expr = expr[0]
jdf = self._jdf.selectExpr(self._jseq(expr))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def selectExpr(self, *expr):
"""Projects a set of SQL expressions and returns a new :class:`DataFrame`.
This is a variant of :func:`select` that accepts SQL expressions.
>>> df.selectExpr("age * 2", "abs(age)").collect()
[Row((age * 2)=4, abs(age)=2), Row((age * 2)=10, abs(age)=5)]
"""
if len(expr) == 1 and isinstance(expr[0], list):
expr = expr[0]
jdf = self._jdf.selectExpr(self._jseq(expr))
return DataFrame(jdf, self.sql_ctx)
|
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"selectExpr",
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"_jseq",
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"expr",
")",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
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"sql_ctx",
")"
] |
Projects a set of SQL expressions and returns a new :class:`DataFrame`.
This is a variant of :func:`select` that accepts SQL expressions.
>>> df.selectExpr("age * 2", "abs(age)").collect()
[Row((age * 2)=4, abs(age)=2), Row((age * 2)=10, abs(age)=5)]
|
[
"Projects",
"a",
"set",
"of",
"SQL",
"expressions",
"and",
"returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1320-L1331
|
train
|
Projects a set of SQL expressions and returns a new DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b101011 + 0o10) + chr(0b11111 + 0o27) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + '\x33' + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(173 - 123) + chr(53) + chr(0b100101 + 0o14), 47194 - 47186), ehT0Px3KOsy9(chr(86 - 38) + chr(0b1101111) + chr(0b101000 + 0o13) + chr(0b100001 + 0o17) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11100 + 0o32) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8941 - 8830) + chr(0b110011) + chr(0b100010 + 0o21) + chr(51), 49025 - 49017), ehT0Px3KOsy9(chr(1147 - 1099) + chr(0b1101111) + '\066' + chr(0b110111), 8), ehT0Px3KOsy9(chr(296 - 248) + chr(11555 - 11444) + chr(2296 - 2247) + '\x31' + chr(0b101110 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(820 - 772) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\061' + '\065', 44555 - 44547), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1157 - 1106) + chr(0b100001 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(5097 - 4986) + chr(53) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(901 - 853) + chr(0b1101111) + '\062' + '\x35' + chr(0b10 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + '\x33' + '\067' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(2479 - 2368) + chr(51) + '\x30' + chr(2450 - 2396), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b110011) + '\x36' + chr(1989 - 1938), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066' + '\x31', 0o10), ehT0Px3KOsy9(chr(899 - 851) + chr(0b1101111) + chr(0b110010) + chr(0b110111) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(0b110010) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1698 - 1650) + '\x6f' + '\x31' + chr(0b110110) + chr(0b1010 + 0o53), 9137 - 9129), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(54) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\067' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1000 + 0o51) + '\066' + '\x32', 34586 - 34578), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(1502 - 1451) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5025 - 4914) + '\x32' + '\x34' + '\063', 31693 - 31685), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\063' + chr(0b11000 + 0o35) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(880 - 769) + '\x33' + chr(1362 - 1309) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + '\x33', 38459 - 38451), ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + chr(49) + '\065' + chr(50), 5450 - 5442), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(6163 - 6052) + chr(54), 21146 - 21138), ehT0Px3KOsy9('\x30' + chr(8017 - 7906) + chr(52) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(0b110100) + '\x36', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + '\063' + '\x30' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\063' + '\065', 0b1000), ehT0Px3KOsy9(chr(835 - 787) + '\157' + '\062' + chr(0b101000 + 0o17) + '\062', 6942 - 6934), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b101001 + 0o10) + chr(284 - 230), 25706 - 25698), ehT0Px3KOsy9(chr(0b110000) + chr(9053 - 8942) + '\063' + chr(0b110111) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110101) + chr(1234 - 1181), 1082 - 1074)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd'), chr(100) + chr(5046 - 4945) + chr(6323 - 6224) + chr(0b11110 + 0o121) + '\144' + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b10101 + 0o43)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def E5Fw_3YbefY0(oVre8I6UXc3b, *uI2evTH5km5q):
if c2A0yzQpDQB3(uI2evTH5km5q) == ehT0Px3KOsy9('\060' + chr(111) + chr(0b11100 + 0o25), 0b1000) and PlSM16l2KDPD(uI2evTH5km5q[ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 0o10)], YyaZ4tpXu4lf):
uI2evTH5km5q = uI2evTH5km5q[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 8)]
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.selectExpr(oVre8I6UXc3b._jseq(uI2evTH5km5q))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x83\xc5\x99T\xafO'), chr(9736 - 9636) + '\145' + chr(99) + chr(0b1100111 + 0o10) + chr(0b110100 + 0o60) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101 + 0o50) + '\070')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.filter
|
def filter(self, condition):
"""Filters rows using the given condition.
:func:`where` is an alias for :func:`filter`.
:param condition: a :class:`Column` of :class:`types.BooleanType`
or a string of SQL expression.
>>> df.filter(df.age > 3).collect()
[Row(age=5, name=u'Bob')]
>>> df.where(df.age == 2).collect()
[Row(age=2, name=u'Alice')]
>>> df.filter("age > 3").collect()
[Row(age=5, name=u'Bob')]
>>> df.where("age = 2").collect()
[Row(age=2, name=u'Alice')]
"""
if isinstance(condition, basestring):
jdf = self._jdf.filter(condition)
elif isinstance(condition, Column):
jdf = self._jdf.filter(condition._jc)
else:
raise TypeError("condition should be string or Column")
return DataFrame(jdf, self.sql_ctx)
|
python
|
def filter(self, condition):
"""Filters rows using the given condition.
:func:`where` is an alias for :func:`filter`.
:param condition: a :class:`Column` of :class:`types.BooleanType`
or a string of SQL expression.
>>> df.filter(df.age > 3).collect()
[Row(age=5, name=u'Bob')]
>>> df.where(df.age == 2).collect()
[Row(age=2, name=u'Alice')]
>>> df.filter("age > 3").collect()
[Row(age=5, name=u'Bob')]
>>> df.where("age = 2").collect()
[Row(age=2, name=u'Alice')]
"""
if isinstance(condition, basestring):
jdf = self._jdf.filter(condition)
elif isinstance(condition, Column):
jdf = self._jdf.filter(condition._jc)
else:
raise TypeError("condition should be string or Column")
return DataFrame(jdf, self.sql_ctx)
|
[
"def",
"filter",
"(",
"self",
",",
"condition",
")",
":",
"if",
"isinstance",
"(",
"condition",
",",
"basestring",
")",
":",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"filter",
"(",
"condition",
")",
"elif",
"isinstance",
"(",
"condition",
",",
"Column",
")",
":",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"filter",
"(",
"condition",
".",
"_jc",
")",
"else",
":",
"raise",
"TypeError",
"(",
"\"condition should be string or Column\"",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
".",
"sql_ctx",
")"
] |
Filters rows using the given condition.
:func:`where` is an alias for :func:`filter`.
:param condition: a :class:`Column` of :class:`types.BooleanType`
or a string of SQL expression.
>>> df.filter(df.age > 3).collect()
[Row(age=5, name=u'Bob')]
>>> df.where(df.age == 2).collect()
[Row(age=2, name=u'Alice')]
>>> df.filter("age > 3").collect()
[Row(age=5, name=u'Bob')]
>>> df.where("age = 2").collect()
[Row(age=2, name=u'Alice')]
|
[
"Filters",
"rows",
"using",
"the",
"given",
"condition",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1335-L1359
|
train
|
Returns a new DataFrame with only the rows that satisfy the given condition.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1000011 + 0o54) + '\064' + chr(1088 - 1040), 0b1000), ehT0Px3KOsy9('\060' + chr(4269 - 4158) + '\061' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(2030 - 1975) + chr(2711 - 2658), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(189 - 135) + chr(0b110111 + 0o0), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b101011 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b1010 + 0o50) + chr(751 - 700), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2716 - 2605) + chr(0b10111 + 0o33) + chr(0b110100) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + chr(0b10100 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11100 + 0o31) + chr(52), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b11101 + 0o24) + chr(830 - 780) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x33' + chr(0b111 + 0o57), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + chr(0b110010) + chr(0b110100) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b10001 + 0o136) + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\x33' + '\x37' + '\064', 53713 - 53705), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(2027 - 1977) + '\067' + chr(1273 - 1223), 4002 - 3994), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100101 + 0o14) + chr(52) + chr(0b101111 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(1072 - 1022) + chr(0b100011 + 0o23) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(9442 - 9331) + chr(0b10000 + 0o43) + chr(0b110101) + '\061', 0o10), ehT0Px3KOsy9(chr(887 - 839) + chr(0b1101111) + chr(278 - 227) + chr(1346 - 1291), 0o10), ehT0Px3KOsy9(chr(1076 - 1028) + '\x6f' + chr(52) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(7372 - 7261) + chr(845 - 795) + chr(54) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110000 + 0o5) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\062' + '\x32' + chr(1798 - 1749), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5525 - 5414) + chr(0b100011 + 0o21) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\065' + chr(0b110101), 8), ehT0Px3KOsy9(chr(423 - 375) + '\157' + '\x32' + chr(1682 - 1633) + chr(0b110101), 5178 - 5170), ehT0Px3KOsy9(chr(1137 - 1089) + '\x6f' + chr(0b101110 + 0o5) + chr(0b110101 + 0o0) + '\x33', 2215 - 2207), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\060' + chr(2132 - 2082), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x37' + chr(0b110011), 26369 - 26361), ehT0Px3KOsy9('\x30' + chr(8617 - 8506) + chr(2550 - 2499) + chr(48) + '\064', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(4005 - 3894) + chr(1239 - 1189) + chr(0b110111) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(4176 - 4065) + chr(0b110010) + chr(0b0 + 0o67) + '\065', 8), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(0b110001 + 0o1) + chr(55) + chr(0b101000 + 0o15), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + '\065', 26488 - 26480), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x30' + chr(1457 - 1407), 0b1000), ehT0Px3KOsy9(chr(1927 - 1879) + '\157' + '\061' + chr(0b110010) + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9(chr(1940 - 1892) + chr(111) + '\063' + '\065' + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(957 - 908) + chr(1701 - 1651) + chr(378 - 327), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 20923 - 20915), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1 + 0o61) + chr(0b110111), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b110000), 20774 - 20766)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e'), chr(5487 - 5387) + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + '\x65')('\165' + chr(116) + chr(0b1001100 + 0o32) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hi1V0ySZcNds(oVre8I6UXc3b, z3jGhw6b9vwa):
if PlSM16l2KDPD(z3jGhw6b9vwa, YUHmwdgm0K2P):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.filter(z3jGhw6b9vwa)
elif PlSM16l2KDPD(z3jGhw6b9vwa, fPAxuGjPVbis):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.filter(z3jGhw6b9vwa._jc)
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'C`SSa\xe7\xcaCBs-\xcdq\x89\xd6\x02\x90\x8bz\x00\xc3\x99\xe3L\x83\xea\xcb\xad\t\xe4\xfe\xd2\xd1\x90\xef:'), '\144' + '\145' + chr(8086 - 7987) + '\157' + chr(100) + chr(101))(chr(117) + '\164' + '\x66' + chr(0b101101) + chr(1668 - 1612)))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'S~Qhk\xe7\xdb'), chr(6601 - 6501) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(3275 - 3175) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.groupBy
|
def groupBy(self, *cols):
"""Groups the :class:`DataFrame` using the specified columns,
so we can run aggregation on them. See :class:`GroupedData`
for all the available aggregate functions.
:func:`groupby` is an alias for :func:`groupBy`.
:param cols: list of columns to group by.
Each element should be a column name (string) or an expression (:class:`Column`).
>>> df.groupBy().avg().collect()
[Row(avg(age)=3.5)]
>>> sorted(df.groupBy('name').agg({'age': 'mean'}).collect())
[Row(name=u'Alice', avg(age)=2.0), Row(name=u'Bob', avg(age)=5.0)]
>>> sorted(df.groupBy(df.name).avg().collect())
[Row(name=u'Alice', avg(age)=2.0), Row(name=u'Bob', avg(age)=5.0)]
>>> sorted(df.groupBy(['name', df.age]).count().collect())
[Row(name=u'Alice', age=2, count=1), Row(name=u'Bob', age=5, count=1)]
"""
jgd = self._jdf.groupBy(self._jcols(*cols))
from pyspark.sql.group import GroupedData
return GroupedData(jgd, self)
|
python
|
def groupBy(self, *cols):
"""Groups the :class:`DataFrame` using the specified columns,
so we can run aggregation on them. See :class:`GroupedData`
for all the available aggregate functions.
:func:`groupby` is an alias for :func:`groupBy`.
:param cols: list of columns to group by.
Each element should be a column name (string) or an expression (:class:`Column`).
>>> df.groupBy().avg().collect()
[Row(avg(age)=3.5)]
>>> sorted(df.groupBy('name').agg({'age': 'mean'}).collect())
[Row(name=u'Alice', avg(age)=2.0), Row(name=u'Bob', avg(age)=5.0)]
>>> sorted(df.groupBy(df.name).avg().collect())
[Row(name=u'Alice', avg(age)=2.0), Row(name=u'Bob', avg(age)=5.0)]
>>> sorted(df.groupBy(['name', df.age]).count().collect())
[Row(name=u'Alice', age=2, count=1), Row(name=u'Bob', age=5, count=1)]
"""
jgd = self._jdf.groupBy(self._jcols(*cols))
from pyspark.sql.group import GroupedData
return GroupedData(jgd, self)
|
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"_jdf",
".",
"groupBy",
"(",
"self",
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"_jcols",
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"from",
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"sql",
".",
"group",
"import",
"GroupedData",
"return",
"GroupedData",
"(",
"jgd",
",",
"self",
")"
] |
Groups the :class:`DataFrame` using the specified columns,
so we can run aggregation on them. See :class:`GroupedData`
for all the available aggregate functions.
:func:`groupby` is an alias for :func:`groupBy`.
:param cols: list of columns to group by.
Each element should be a column name (string) or an expression (:class:`Column`).
>>> df.groupBy().avg().collect()
[Row(avg(age)=3.5)]
>>> sorted(df.groupBy('name').agg({'age': 'mean'}).collect())
[Row(name=u'Alice', avg(age)=2.0), Row(name=u'Bob', avg(age)=5.0)]
>>> sorted(df.groupBy(df.name).avg().collect())
[Row(name=u'Alice', avg(age)=2.0), Row(name=u'Bob', avg(age)=5.0)]
>>> sorted(df.groupBy(['name', df.age]).count().collect())
[Row(name=u'Alice', age=2, count=1), Row(name=u'Bob', age=5, count=1)]
|
[
"Groups",
"the",
":",
"class",
":",
"DataFrame",
"using",
"the",
"specified",
"columns",
"so",
"we",
"can",
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".",
"See",
":",
"class",
":",
"GroupedData",
"for",
"all",
"the",
"available",
"aggregate",
"functions",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1363-L1384
|
train
|
Groups the DataFrame using the specified columns and returns a new DataFrame with the grouped rows grouped by the specified columns.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110001) + chr(54), 34611 - 34603), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b100000 + 0o26) + chr(1704 - 1651), 62093 - 62085), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110 + 0o53) + '\x33' + '\x30', 35158 - 35150), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\063' + chr(0b101001 + 0o10), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(0b110001) + chr(1239 - 1185) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1738 - 1690), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b101000 + 0o107) + '\x32' + chr(0b110101) + '\x35', 0o10), ehT0Px3KOsy9(chr(1194 - 1146) + '\x6f' + chr(0b110001) + '\x35' + chr(847 - 794), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(51) + chr(54) + chr(53), 58211 - 58203), ehT0Px3KOsy9('\x30' + '\x6f' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12289 - 12178) + chr(0b110011) + chr(2361 - 2308) + '\067', 40091 - 40083), ehT0Px3KOsy9('\x30' + chr(9742 - 9631) + chr(2527 - 2476) + chr(0b110110) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b101001 + 0o11) + chr(0b100111 + 0o13) + chr(54), 0o10), ehT0Px3KOsy9(chr(1442 - 1394) + '\157' + '\x32' + '\067' + chr(0b10000 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1056 - 1005), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1836 - 1787) + chr(0b100011 + 0o22) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(912 - 859) + chr(0b100001 + 0o26), 3153 - 3145), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2373 - 2323) + chr(0b1100 + 0o46) + chr(0b100011 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(1756 - 1708) + '\x34', 51935 - 51927), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\063' + chr(1619 - 1569) + chr(1500 - 1445), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(0b110001) + chr(48) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\065' + chr(48), 2812 - 2804), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(907 - 796) + '\062' + chr(0b110111) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b101001 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + chr(0b11011 + 0o26) + chr(0b11001 + 0o34) + '\062', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101000 + 0o12) + '\x32' + chr(49), 0o10), ehT0Px3KOsy9(chr(1154 - 1106) + chr(111) + chr(0b1101 + 0o45) + '\065' + '\x33', 0b1000), ehT0Px3KOsy9(chr(716 - 668) + '\157' + chr(0b110011) + '\064' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x37' + chr(1393 - 1344), 56222 - 56214), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b101011 + 0o7) + chr(289 - 235), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\x31' + chr(0b110000) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11640 - 11529) + chr(0b110010) + chr(48) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(53) + chr(0b100011 + 0o20), 34107 - 34099), ehT0Px3KOsy9('\060' + chr(8991 - 8880) + '\063' + '\x34' + chr(0b10011 + 0o41), 19936 - 19928), ehT0Px3KOsy9(chr(1427 - 1379) + '\x6f' + '\x32' + chr(279 - 228) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10110 + 0o33) + '\x35' + chr(0b0 + 0o65), 8), ehT0Px3KOsy9(chr(2285 - 2237) + '\x6f' + chr(0b110010 + 0o1) + chr(595 - 541) + chr(0b110110), 8), ehT0Px3KOsy9(chr(1549 - 1501) + chr(0b101101 + 0o102) + chr(0b111 + 0o52) + chr(189 - 137) + chr(1974 - 1923), 9196 - 9188), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000 + 0o4) + chr(0b1011 + 0o52), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(9549 - 9438) + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b' '), chr(100) + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(101))('\x75' + '\x74' + chr(0b1110 + 0o130) + chr(0b101101) + chr(0b1010 + 0o56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YsKcVB3rSm_h(oVre8I6UXc3b, *AIgvIWQd9onz):
SEPgxwrqea6o = oVre8I6UXc3b._jdf.groupBy(oVre8I6UXc3b._jcols(*AIgvIWQd9onz))
(J8R_UPQcMlpz,) = (xafqLlk3kkUe(xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'~z\x06(\xb8\x04k\x83\x1e\x84h\xc1\x91\xe4\xd7v\x1a'), chr(100) + chr(3829 - 3728) + chr(99) + '\x6f' + '\x64' + chr(0b111001 + 0o54))(chr(0b1110101) + chr(116) + chr(102) + chr(0b1101 + 0o40) + chr(1044 - 988)), xafqLlk3kkUe(SXOLrMavuUCe(b'Iq\x1a-\xa9\x13d\xe9\x0c\x81e'), '\x64' + '\x65' + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(5755 - 5653) + chr(45) + chr(1252 - 1196))), xafqLlk3kkUe(SXOLrMavuUCe(b'}r\x19'), chr(100) + '\145' + chr(509 - 410) + chr(111) + chr(3632 - 3532) + '\x65')(chr(6708 - 6591) + chr(10696 - 10580) + '\x66' + '\x2d' + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'iq\x1a-\xa9'), chr(7415 - 7315) + chr(101) + '\143' + chr(111) + '\x64' + '\x65')(chr(117) + chr(9612 - 9496) + '\146' + chr(0b101101 + 0o0) + chr(0b10011 + 0o45))), xafqLlk3kkUe(SXOLrMavuUCe(b'Iq\x1a-\xa9\x13d\xe9\x0c\x81e'), '\144' + chr(0b100100 + 0o101) + '\143' + chr(0b1101111) + '\144' + chr(101))('\x75' + '\x74' + chr(0b10010 + 0o124) + '\x2d' + chr(0b111000))),)
return J8R_UPQcMlpz(SEPgxwrqea6o, oVre8I6UXc3b)
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.union
|
def union(self, other):
""" Return a new :class:`DataFrame` containing union of rows in this and another frame.
This is equivalent to `UNION ALL` in SQL. To do a SQL-style set union
(that does deduplication of elements), use this function followed by :func:`distinct`.
Also as standard in SQL, this function resolves columns by position (not by name).
"""
return DataFrame(self._jdf.union(other._jdf), self.sql_ctx)
|
python
|
def union(self, other):
""" Return a new :class:`DataFrame` containing union of rows in this and another frame.
This is equivalent to `UNION ALL` in SQL. To do a SQL-style set union
(that does deduplication of elements), use this function followed by :func:`distinct`.
Also as standard in SQL, this function resolves columns by position (not by name).
"""
return DataFrame(self._jdf.union(other._jdf), self.sql_ctx)
|
[
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"union",
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"DataFrame",
"(",
"self",
".",
"_jdf",
".",
"union",
"(",
"other",
".",
"_jdf",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Return a new :class:`DataFrame` containing union of rows in this and another frame.
This is equivalent to `UNION ALL` in SQL. To do a SQL-style set union
(that does deduplication of elements), use this function followed by :func:`distinct`.
Also as standard in SQL, this function resolves columns by position (not by name).
|
[
"Return",
"a",
"new",
":",
"class",
":",
"DataFrame",
"containing",
"union",
"of",
"rows",
"in",
"this",
"and",
"another",
"frame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1444-L1452
|
train
|
Returns a new DataFrame containing the union of rows in this and another DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b111 + 0o52) + chr(0b110011 + 0o0) + chr(253 - 204), 38623 - 38615), ehT0Px3KOsy9('\060' + '\157' + chr(52) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1658 - 1610) + chr(0b1101111) + chr(0b11011 + 0o26) + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(11087 - 10976) + chr(49) + chr(0b101100 + 0o5) + chr(0b100100 + 0o16), 42385 - 42377), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\062' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b110010) + chr(0b101001 + 0o12) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + chr(811 - 760) + chr(1186 - 1132) + chr(742 - 687), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\063' + '\x34' + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10275 - 10164) + '\x33' + chr(1983 - 1934) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1690 - 1642) + chr(0b1000010 + 0o55) + chr(0b101110 + 0o3) + '\x35' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(155 - 104) + chr(0b110011) + '\x32', 60826 - 60818), ehT0Px3KOsy9(chr(1003 - 955) + '\x6f' + chr(0b1000 + 0o52) + '\067' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b11111 + 0o30) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b1000 + 0o57) + '\061', 20782 - 20774), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11111 + 0o22) + chr(0b110101) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(768 - 720) + '\157' + chr(51) + chr(54) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110000) + chr(55), 0b1000), ehT0Px3KOsy9(chr(453 - 405) + chr(111) + chr(51) + chr(0b110110) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(338 - 290) + chr(0b110000 + 0o77) + '\x37', 5012 - 5004), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x35' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100100 + 0o15) + chr(54) + chr(1762 - 1710), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\061' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110111) + chr(0b11101 + 0o23), 8), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b10100 + 0o41), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o10) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(633 - 578) + '\x31', 30162 - 30154), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(54) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110100) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11814 - 11703) + '\x33' + chr(0b110011) + chr(990 - 940), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110000) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\063' + chr(0b110111) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1000 + 0o55) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1533 - 1482) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\063' + chr(137 - 83) + chr(1867 - 1812), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(1326 - 1276) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + '\061' + chr(647 - 599) + chr(875 - 825), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\061' + chr(0b110100) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(7232 - 7121) + chr(372 - 322) + '\061' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10010 + 0o40) + '\067' + chr(52), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2239 - 2191) + chr(111) + chr(0b10101 + 0o40) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(0b10100 + 0o120) + chr(0b110010 + 0o63) + chr(6085 - 5986) + chr(0b1011111 + 0o20) + chr(0b1100100) + chr(2974 - 2873))(chr(0b1110101) + chr(12761 - 12645) + chr(0b1100110) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ImVX4ET3vKwG(oVre8I6UXc3b, KK0ERS7DqYrY):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b',N\x11%\xfc'), '\144' + chr(0b1100101) + chr(0b1000100 + 0o37) + chr(0b1001111 + 0o40) + chr(4591 - 4491) + '\145')('\x75' + chr(0b1110100) + '\146' + chr(431 - 386) + '\x38'))(xafqLlk3kkUe(KK0ERS7DqYrY, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06J\x1c,'), chr(0b1001010 + 0o32) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1000 + 0o136) + chr(45) + chr(56)))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'*Q\x14\x15\xf1\xe8\x8f'), chr(100) + chr(0b1100101) + '\143' + chr(9000 - 8889) + chr(0b1010001 + 0o23) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.unionByName
|
def unionByName(self, other):
""" Returns a new :class:`DataFrame` containing union of rows in this and another frame.
This is different from both `UNION ALL` and `UNION DISTINCT` in SQL. To do a SQL-style set
union (that does deduplication of elements), use this function followed by :func:`distinct`.
The difference between this function and :func:`union` is that this function
resolves columns by name (not by position):
>>> df1 = spark.createDataFrame([[1, 2, 3]], ["col0", "col1", "col2"])
>>> df2 = spark.createDataFrame([[4, 5, 6]], ["col1", "col2", "col0"])
>>> df1.unionByName(df2).show()
+----+----+----+
|col0|col1|col2|
+----+----+----+
| 1| 2| 3|
| 6| 4| 5|
+----+----+----+
"""
return DataFrame(self._jdf.unionByName(other._jdf), self.sql_ctx)
|
python
|
def unionByName(self, other):
""" Returns a new :class:`DataFrame` containing union of rows in this and another frame.
This is different from both `UNION ALL` and `UNION DISTINCT` in SQL. To do a SQL-style set
union (that does deduplication of elements), use this function followed by :func:`distinct`.
The difference between this function and :func:`union` is that this function
resolves columns by name (not by position):
>>> df1 = spark.createDataFrame([[1, 2, 3]], ["col0", "col1", "col2"])
>>> df2 = spark.createDataFrame([[4, 5, 6]], ["col1", "col2", "col0"])
>>> df1.unionByName(df2).show()
+----+----+----+
|col0|col1|col2|
+----+----+----+
| 1| 2| 3|
| 6| 4| 5|
+----+----+----+
"""
return DataFrame(self._jdf.unionByName(other._jdf), self.sql_ctx)
|
[
"def",
"unionByName",
"(",
"self",
",",
"other",
")",
":",
"return",
"DataFrame",
"(",
"self",
".",
"_jdf",
".",
"unionByName",
"(",
"other",
".",
"_jdf",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Returns a new :class:`DataFrame` containing union of rows in this and another frame.
This is different from both `UNION ALL` and `UNION DISTINCT` in SQL. To do a SQL-style set
union (that does deduplication of elements), use this function followed by :func:`distinct`.
The difference between this function and :func:`union` is that this function
resolves columns by name (not by position):
>>> df1 = spark.createDataFrame([[1, 2, 3]], ["col0", "col1", "col2"])
>>> df2 = spark.createDataFrame([[4, 5, 6]], ["col1", "col2", "col0"])
>>> df1.unionByName(df2).show()
+----+----+----+
|col0|col1|col2|
+----+----+----+
| 1| 2| 3|
| 6| 4| 5|
+----+----+----+
|
[
"Returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"containing",
"union",
"of",
"rows",
"in",
"this",
"and",
"another",
"frame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1466-L1485
|
train
|
Returns a new DataFrame containing union of rows in this and another DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(2079 - 2025) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x32', 58790 - 58782), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(1153 - 1105) + '\x6f' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x37' + chr(2989 - 2934), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1010 + 0o47) + chr(2738 - 2684) + chr(50), 0b1000), ehT0Px3KOsy9(chr(465 - 417) + chr(9553 - 9442) + chr(644 - 595) + chr(0b101101 + 0o5) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x34' + chr(0b100100 + 0o15), 19620 - 19612), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(1920 - 1869) + '\063' + chr(566 - 512), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(0b10000 + 0o43) + '\066' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(228 - 180) + chr(9317 - 9206) + chr(0b100010 + 0o20) + chr(0b110011) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2387 - 2338) + chr(271 - 217) + chr(0b10011 + 0o40), 36478 - 36470), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\061' + chr(0b100010 + 0o21) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10100 + 0o35) + '\x31' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(1266 - 1216) + chr(823 - 773) + '\061', 21667 - 21659), ehT0Px3KOsy9('\060' + chr(3474 - 3363) + chr(49) + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1001110 + 0o41) + chr(1512 - 1460) + chr(51), 13175 - 13167), ehT0Px3KOsy9('\x30' + '\x6f' + '\x36' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110011 + 0o3) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\063' + chr(0b110001) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b110001) + '\x33' + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(49) + chr(0b10010 + 0o40) + chr(0b10110 + 0o32), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1953 - 1902) + '\x31' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + chr(0b100111 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + '\064' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(12090 - 11979) + chr(2851 - 2796) + chr(0b100 + 0o62), 23003 - 22995), ehT0Px3KOsy9(chr(409 - 361) + '\157' + chr(0b0 + 0o61) + '\x33' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(50) + chr(1941 - 1890), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(1060 - 1011) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(740 - 692) + chr(12143 - 12032) + '\x33' + '\064' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b11010 + 0o31) + chr(0b101010 + 0o14), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\063' + chr(0b110111) + chr(676 - 624), 0b1000), ehT0Px3KOsy9(chr(454 - 406) + '\157' + chr(0b110001) + '\063' + chr(693 - 644), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(2477 - 2424) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), '\144' + chr(0b1100101) + '\x63' + chr(5596 - 5485) + chr(3127 - 3027) + chr(101))('\165' + '\x74' + chr(0b101111 + 0o67) + '\x2d' + chr(3054 - 2998)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MwxvBfetFwl1(oVre8I6UXc3b, KK0ERS7DqYrY):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\xd9sRo\xdc\x86<5\x8c\xbb'), chr(100) + '\145' + chr(0b1000101 + 0o36) + chr(111) + chr(100) + '\x65')(chr(0b1110000 + 0o5) + chr(0b100111 + 0o115) + chr(102) + chr(45) + chr(56)))(xafqLlk3kkUe(KK0ERS7DqYrY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0\xdd~['), '\144' + '\145' + chr(0b1100011) + '\157' + '\x64' + '\145')('\165' + chr(0b1110100) + '\x66' + chr(0b10101 + 0o30) + '\x38'))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xc6vbb\xea\x87'), '\144' + chr(3103 - 3002) + '\x63' + '\x6f' + chr(100) + chr(0b101 + 0o140))('\165' + chr(0b100000 + 0o124) + chr(0b1100110) + '\x2d' + '\070')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.intersect
|
def intersect(self, other):
""" Return a new :class:`DataFrame` containing rows only in
both this frame and another frame.
This is equivalent to `INTERSECT` in SQL.
"""
return DataFrame(self._jdf.intersect(other._jdf), self.sql_ctx)
|
python
|
def intersect(self, other):
""" Return a new :class:`DataFrame` containing rows only in
both this frame and another frame.
This is equivalent to `INTERSECT` in SQL.
"""
return DataFrame(self._jdf.intersect(other._jdf), self.sql_ctx)
|
[
"def",
"intersect",
"(",
"self",
",",
"other",
")",
":",
"return",
"DataFrame",
"(",
"self",
".",
"_jdf",
".",
"intersect",
"(",
"other",
".",
"_jdf",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Return a new :class:`DataFrame` containing rows only in
both this frame and another frame.
This is equivalent to `INTERSECT` in SQL.
|
[
"Return",
"a",
"new",
":",
"class",
":",
"DataFrame",
"containing",
"rows",
"only",
"in",
"both",
"this",
"frame",
"and",
"another",
"frame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1488-L1494
|
train
|
Returns a new DataFrame containing rows only in
both this and other.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(10214 - 10103) + chr(0b10 + 0o57) + chr(55) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(49) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(2526 - 2472) + chr(2154 - 2104), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110101) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + '\061' + '\x37' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7571 - 7460) + '\061' + chr(0b1000 + 0o54) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1001 + 0o54) + '\x36', 36791 - 36783), ehT0Px3KOsy9(chr(0b110000) + chr(1898 - 1787) + chr(1927 - 1876) + chr(0b101010 + 0o15) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100101 + 0o14) + chr(2401 - 2348) + chr(1169 - 1117), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(295 - 247) + chr(5894 - 5783) + chr(51) + '\065' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7806 - 7695) + chr(1932 - 1882) + '\066' + chr(0b100010 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(61 - 11) + chr(0b11000 + 0o36) + chr(0b11001 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1805 - 1757) + chr(0b1101111) + '\x35' + chr(202 - 153), 28998 - 28990), ehT0Px3KOsy9('\060' + '\157' + '\x35' + '\066', 8), ehT0Px3KOsy9(chr(2280 - 2232) + '\157' + chr(0b110000 + 0o5) + chr(0b10001 + 0o42), 14551 - 14543), ehT0Px3KOsy9(chr(770 - 722) + chr(0b1101111) + chr(49) + chr(0b110111) + chr(51), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(52) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(0b1 + 0o60) + chr(51) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(49) + '\066' + '\060', 30037 - 30029), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110001 + 0o3) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(3092 - 2981) + '\066' + '\065', 32732 - 32724), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(67 - 17) + chr(0b101000 + 0o16) + chr(0b101110 + 0o6), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b100001 + 0o116) + '\x32' + chr(1144 - 1091) + chr(0b100010 + 0o20), 0b1000), ehT0Px3KOsy9(chr(1040 - 992) + chr(0b1101111) + chr(49) + '\066' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b11001 + 0o27) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(894 - 846) + '\x6f' + chr(0b100000 + 0o21) + chr(54) + chr(0b101 + 0o54), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b100111 + 0o13) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\x34' + chr(268 - 213), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\061' + chr(0b10010 + 0o37) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\060' + chr(48), 15815 - 15807), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1010 + 0o47) + '\x30' + chr(0b10100 + 0o41), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\065' + chr(2070 - 2022), 54167 - 54159), ehT0Px3KOsy9(chr(48) + chr(1304 - 1193) + '\x32' + '\066' + chr(1252 - 1203), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\063' + '\066' + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1110 + 0o43) + chr(49) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3902 - 3791) + '\x33' + chr(0b110111) + chr(0b1111 + 0o45), 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(2402 - 2352) + chr(1470 - 1419) + chr(2601 - 2546), 58331 - 58323)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'W'), chr(0b1100100) + '\x65' + chr(99) + chr(11613 - 11502) + chr(0b1100100) + chr(8430 - 8329))(chr(0b111101 + 0o70) + chr(8645 - 8529) + chr(0b1100110) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LvuFd8jNQc6v(oVre8I6UXc3b, KK0ERS7DqYrY):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xa6F\x0f\t\x17K\x9f\x18'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1100001 + 0o16) + chr(0b11011 + 0o111) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1010011 + 0o23) + '\x2d' + '\070'))(xafqLlk3kkUe(KK0ERS7DqYrY, xafqLlk3kkUe(SXOLrMavuUCe(b'&\xa2V\x0c'), '\144' + '\x65' + chr(0b110101 + 0o56) + chr(111) + chr(9194 - 9094) + '\x65')(chr(12206 - 12089) + '\x74' + chr(0b1011101 + 0o11) + '\055' + chr(0b10111 + 0o41)))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xb9^5\x18\x10V'), chr(0b10001 + 0o123) + chr(0b100011 + 0o102) + chr(5869 - 5770) + chr(0b1101111) + chr(2192 - 2092) + '\x65')('\x75' + chr(116) + chr(0b10001 + 0o125) + '\055' + '\070')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.intersectAll
|
def intersectAll(self, other):
""" Return a new :class:`DataFrame` containing rows in both this dataframe and other
dataframe while preserving duplicates.
This is equivalent to `INTERSECT ALL` in SQL.
>>> df1 = spark.createDataFrame([("a", 1), ("a", 1), ("b", 3), ("c", 4)], ["C1", "C2"])
>>> df2 = spark.createDataFrame([("a", 1), ("a", 1), ("b", 3)], ["C1", "C2"])
>>> df1.intersectAll(df2).sort("C1", "C2").show()
+---+---+
| C1| C2|
+---+---+
| a| 1|
| a| 1|
| b| 3|
+---+---+
Also as standard in SQL, this function resolves columns by position (not by name).
"""
return DataFrame(self._jdf.intersectAll(other._jdf), self.sql_ctx)
|
python
|
def intersectAll(self, other):
""" Return a new :class:`DataFrame` containing rows in both this dataframe and other
dataframe while preserving duplicates.
This is equivalent to `INTERSECT ALL` in SQL.
>>> df1 = spark.createDataFrame([("a", 1), ("a", 1), ("b", 3), ("c", 4)], ["C1", "C2"])
>>> df2 = spark.createDataFrame([("a", 1), ("a", 1), ("b", 3)], ["C1", "C2"])
>>> df1.intersectAll(df2).sort("C1", "C2").show()
+---+---+
| C1| C2|
+---+---+
| a| 1|
| a| 1|
| b| 3|
+---+---+
Also as standard in SQL, this function resolves columns by position (not by name).
"""
return DataFrame(self._jdf.intersectAll(other._jdf), self.sql_ctx)
|
[
"def",
"intersectAll",
"(",
"self",
",",
"other",
")",
":",
"return",
"DataFrame",
"(",
"self",
".",
"_jdf",
".",
"intersectAll",
"(",
"other",
".",
"_jdf",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Return a new :class:`DataFrame` containing rows in both this dataframe and other
dataframe while preserving duplicates.
This is equivalent to `INTERSECT ALL` in SQL.
>>> df1 = spark.createDataFrame([("a", 1), ("a", 1), ("b", 3), ("c", 4)], ["C1", "C2"])
>>> df2 = spark.createDataFrame([("a", 1), ("a", 1), ("b", 3)], ["C1", "C2"])
>>> df1.intersectAll(df2).sort("C1", "C2").show()
+---+---+
| C1| C2|
+---+---+
| a| 1|
| a| 1|
| b| 3|
+---+---+
Also as standard in SQL, this function resolves columns by position (not by name).
|
[
"Return",
"a",
"new",
":",
"class",
":",
"DataFrame",
"containing",
"rows",
"in",
"both",
"this",
"dataframe",
"and",
"other",
"dataframe",
"while",
"preserving",
"duplicates",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1497-L1516
|
train
|
Return a new DataFrame containing rows in both this dataframe and other dataframe while preserving duplicates.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b110100) + '\x31', 39212 - 39204), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110011 + 0o1) + chr(49), 8), ehT0Px3KOsy9('\060' + '\157' + chr(2050 - 2001) + chr(55) + chr(2004 - 1951), 8099 - 8091), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b101010 + 0o10) + chr(1854 - 1799) + chr(0b110011), 14107 - 14099), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(1437 - 1387) + chr(48) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(247 - 199) + chr(0b1101111) + '\x32' + '\x32' + chr(137 - 84), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b100000 + 0o21) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1646 - 1598) + '\157' + chr(50) + '\066' + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o21) + chr(0b1100 + 0o50) + '\x35', 25956 - 25948), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o7) + '\x33' + '\063', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1587 - 1538) + '\061' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8554 - 8443) + chr(0b11000 + 0o31) + chr(0b101100 + 0o4), 45811 - 45803), ehT0Px3KOsy9(chr(48) + chr(1844 - 1733) + chr(49) + chr(0b110000) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b1001 + 0o54) + '\062', 50704 - 50696), ehT0Px3KOsy9(chr(186 - 138) + '\157' + chr(49) + chr(549 - 496) + '\x31', 8), ehT0Px3KOsy9(chr(875 - 827) + '\x6f' + '\061' + chr(1278 - 1229) + chr(0b110010), 23701 - 23693), ehT0Px3KOsy9(chr(333 - 285) + chr(0b110111 + 0o70) + chr(0b110010) + chr(54) + chr(0b100001 + 0o23), 9257 - 9249), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b110010) + '\x34' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + chr(197 - 143), 0o10), ehT0Px3KOsy9(chr(1996 - 1948) + '\157' + chr(1117 - 1068) + chr(0b110001) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10001 + 0o42) + '\x32' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\065' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(50) + '\066' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\062' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b11100 + 0o26), 0b1000), ehT0Px3KOsy9(chr(1583 - 1535) + chr(0b111100 + 0o63) + chr(49) + '\065' + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\062' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\060' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(1224 - 1173) + chr(0b1001 + 0o52) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\061' + chr(186 - 138) + chr(0b110001), 2841 - 2833), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(555 - 505) + chr(49) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1874 - 1823) + chr(0b101100 + 0o12) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1700 - 1652) + '\157' + '\x32' + chr(52) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(526 - 477) + '\063' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(5066 - 4955) + chr(0b101110 + 0o5) + chr(0b110111) + chr(1579 - 1531), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(906 - 854) + '\067', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + '\061' + '\067' + chr(0b101100 + 0o6), 27171 - 27163), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1101 + 0o46) + '\x37' + '\x37', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(427 - 374) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), chr(5759 - 5659) + chr(4350 - 4249) + '\143' + chr(0b101001 + 0o106) + '\x64' + '\145')('\x75' + chr(116) + '\146' + chr(0b10100 + 0o31) + chr(0b110111 + 0o1)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GQ7jFjzDx5kv(oVre8I6UXc3b, KK0ERS7DqYrY):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'HO\t\xde\xf0\xe6\xec\xd0\x1d\xe4\xf7$'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + chr(100) + chr(0b1011011 + 0o12))(chr(117) + chr(116) + '\x66' + chr(0b10101 + 0o30) + chr(56)))(xafqLlk3kkUe(KK0ERS7DqYrY, xafqLlk3kkUe(SXOLrMavuUCe(b'~K\x19\xdd'), chr(0b1100100) + chr(0b1100101) + chr(0b10 + 0o141) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(0b1000000 + 0o46) + chr(0b101101) + chr(0b10110 + 0o42)))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'RP\x11\xe4\xe1\xe1\xf1'), '\x64' + chr(101) + chr(99) + '\157' + chr(0b100000 + 0o104) + chr(101))(chr(0b1000111 + 0o56) + chr(0b111001 + 0o73) + '\x66' + chr(0b101101) + chr(820 - 764))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.subtract
|
def subtract(self, other):
""" Return a new :class:`DataFrame` containing rows in this frame
but not in another frame.
This is equivalent to `EXCEPT DISTINCT` in SQL.
"""
return DataFrame(getattr(self._jdf, "except")(other._jdf), self.sql_ctx)
|
python
|
def subtract(self, other):
""" Return a new :class:`DataFrame` containing rows in this frame
but not in another frame.
This is equivalent to `EXCEPT DISTINCT` in SQL.
"""
return DataFrame(getattr(self._jdf, "except")(other._jdf), self.sql_ctx)
|
[
"def",
"subtract",
"(",
"self",
",",
"other",
")",
":",
"return",
"DataFrame",
"(",
"getattr",
"(",
"self",
".",
"_jdf",
",",
"\"except\"",
")",
"(",
"other",
".",
"_jdf",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Return a new :class:`DataFrame` containing rows in this frame
but not in another frame.
This is equivalent to `EXCEPT DISTINCT` in SQL.
|
[
"Return",
"a",
"new",
":",
"class",
":",
"DataFrame",
"containing",
"rows",
"in",
"this",
"frame",
"but",
"not",
"in",
"another",
"frame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1519-L1526
|
train
|
Returns a new DataFrame containing rows in this frame but not in another frame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\x34' + '\x37', 8396 - 8388), ehT0Px3KOsy9('\060' + chr(8814 - 8703) + '\063' + chr(0b110110) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\063' + chr(0b110110) + '\x35', 4761 - 4753), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(507 - 457) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110 + 0o54) + chr(273 - 224) + chr(0b11111 + 0o24), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(51) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7071 - 6960) + chr(0b1011 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1010111 + 0o30) + chr(52) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + '\x32' + chr(0b1101 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11101 + 0o26) + chr(49) + chr(0b101011 + 0o10), 7449 - 7441), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(6989 - 6878) + chr(551 - 501) + chr(48) + chr(995 - 945), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1526 - 1475) + '\x30' + chr(54), 61987 - 61979), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(1711 - 1660) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10117 - 10006) + chr(0b110010) + chr(0b110010) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2500 - 2446) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(10412 - 10301) + chr(0b100110 + 0o13) + '\065', 16445 - 16437), ehT0Px3KOsy9('\060' + chr(111) + chr(547 - 493) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(398 - 350) + chr(0b1101111) + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1700 - 1589) + chr(0b11000 + 0o34) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1281 - 1230) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11693 - 11582) + chr(0b101100 + 0o7) + chr(0b110000) + '\060', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1001010 + 0o45) + chr(50) + '\066' + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(51) + '\064', 18821 - 18813), ehT0Px3KOsy9(chr(1530 - 1482) + chr(239 - 128) + chr(744 - 695) + chr(0b110001 + 0o4) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1858 - 1810) + chr(0b1011100 + 0o23) + '\x32' + chr(0b100001 + 0o17) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(11251 - 11140) + '\x33' + chr(0b110011) + chr(0b100101 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(8892 - 8781) + chr(0b100 + 0o57) + '\067' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(49) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101010 + 0o11) + chr(53) + chr(111 - 63), ord("\x08")), ehT0Px3KOsy9(chr(1717 - 1669) + '\x6f' + chr(0b10110 + 0o35) + chr(1462 - 1411) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(702 - 654) + chr(0b1011110 + 0o21) + '\x31' + '\x36' + chr(0b11111 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110001) + chr(52), 18281 - 18273), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11100 + 0o33) + chr(0b11101 + 0o26), 19558 - 19550), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(0b10100 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\x36' + chr(1813 - 1763), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4284 - 4173) + chr(0b101010 + 0o7) + chr(55) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\061' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1399 - 1351) + chr(0b1010110 + 0o31) + '\x32' + chr(48) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o23) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9'), chr(1447 - 1347) + '\145' + chr(0b1 + 0o142) + chr(4994 - 4883) + '\x64' + chr(2181 - 2080))('\x75' + chr(116) + '\146' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def swHo32JYwFMW(oVre8I6UXc3b, KK0ERS7DqYrY):
return TTWbaLX2VikC(xafqLlk3kkUe(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x9b\x91\xb6'), chr(0b1001110 + 0o26) + chr(0b101010 + 0o73) + chr(99) + chr(4032 - 3921) + chr(0b0 + 0o144) + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(1699 - 1643))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\x89\x96\xb5\xfb\xeb'), '\144' + '\145' + chr(99) + '\157' + chr(4936 - 4836) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b100001 + 0o27)))(xafqLlk3kkUe(KK0ERS7DqYrY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x9b\x91\xb6'), '\144' + '\x65' + '\143' + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(12424 - 12308) + chr(102) + '\055' + chr(1887 - 1831)))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x80\x99\x8f\xe8\xeb~'), chr(0b101010 + 0o72) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1010110 + 0o16) + chr(101))(chr(117) + chr(0b111110 + 0o66) + chr(3477 - 3375) + chr(324 - 279) + chr(56))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.dropDuplicates
|
def dropDuplicates(self, subset=None):
"""Return a new :class:`DataFrame` with duplicate rows removed,
optionally only considering certain columns.
For a static batch :class:`DataFrame`, it just drops duplicate rows. For a streaming
:class:`DataFrame`, it will keep all data across triggers as intermediate state to drop
duplicates rows. You can use :func:`withWatermark` to limit how late the duplicate data can
be and system will accordingly limit the state. In addition, too late data older than
watermark will be dropped to avoid any possibility of duplicates.
:func:`drop_duplicates` is an alias for :func:`dropDuplicates`.
>>> from pyspark.sql import Row
>>> df = sc.parallelize([ \\
... Row(name='Alice', age=5, height=80), \\
... Row(name='Alice', age=5, height=80), \\
... Row(name='Alice', age=10, height=80)]).toDF()
>>> df.dropDuplicates().show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 5| 80|Alice|
| 10| 80|Alice|
+---+------+-----+
>>> df.dropDuplicates(['name', 'height']).show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 5| 80|Alice|
+---+------+-----+
"""
if subset is None:
jdf = self._jdf.dropDuplicates()
else:
jdf = self._jdf.dropDuplicates(self._jseq(subset))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def dropDuplicates(self, subset=None):
"""Return a new :class:`DataFrame` with duplicate rows removed,
optionally only considering certain columns.
For a static batch :class:`DataFrame`, it just drops duplicate rows. For a streaming
:class:`DataFrame`, it will keep all data across triggers as intermediate state to drop
duplicates rows. You can use :func:`withWatermark` to limit how late the duplicate data can
be and system will accordingly limit the state. In addition, too late data older than
watermark will be dropped to avoid any possibility of duplicates.
:func:`drop_duplicates` is an alias for :func:`dropDuplicates`.
>>> from pyspark.sql import Row
>>> df = sc.parallelize([ \\
... Row(name='Alice', age=5, height=80), \\
... Row(name='Alice', age=5, height=80), \\
... Row(name='Alice', age=10, height=80)]).toDF()
>>> df.dropDuplicates().show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 5| 80|Alice|
| 10| 80|Alice|
+---+------+-----+
>>> df.dropDuplicates(['name', 'height']).show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 5| 80|Alice|
+---+------+-----+
"""
if subset is None:
jdf = self._jdf.dropDuplicates()
else:
jdf = self._jdf.dropDuplicates(self._jseq(subset))
return DataFrame(jdf, self.sql_ctx)
|
[
"def",
"dropDuplicates",
"(",
"self",
",",
"subset",
"=",
"None",
")",
":",
"if",
"subset",
"is",
"None",
":",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"dropDuplicates",
"(",
")",
"else",
":",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"dropDuplicates",
"(",
"self",
".",
"_jseq",
"(",
"subset",
")",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
".",
"sql_ctx",
")"
] |
Return a new :class:`DataFrame` with duplicate rows removed,
optionally only considering certain columns.
For a static batch :class:`DataFrame`, it just drops duplicate rows. For a streaming
:class:`DataFrame`, it will keep all data across triggers as intermediate state to drop
duplicates rows. You can use :func:`withWatermark` to limit how late the duplicate data can
be and system will accordingly limit the state. In addition, too late data older than
watermark will be dropped to avoid any possibility of duplicates.
:func:`drop_duplicates` is an alias for :func:`dropDuplicates`.
>>> from pyspark.sql import Row
>>> df = sc.parallelize([ \\
... Row(name='Alice', age=5, height=80), \\
... Row(name='Alice', age=5, height=80), \\
... Row(name='Alice', age=10, height=80)]).toDF()
>>> df.dropDuplicates().show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 5| 80|Alice|
| 10| 80|Alice|
+---+------+-----+
>>> df.dropDuplicates(['name', 'height']).show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 5| 80|Alice|
+---+------+-----+
|
[
"Return",
"a",
"new",
":",
"class",
":",
"DataFrame",
"with",
"duplicate",
"rows",
"removed",
"optionally",
"only",
"considering",
"certain",
"columns",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1529-L1565
|
train
|
Returns a new DataFrame with duplicate rows removed optionally considering certain columns.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2262 - 2214) + chr(0b1101111) + chr(656 - 604) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(818 - 769) + chr(0b10100 + 0o34) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1079 - 1031) + chr(111) + chr(50) + '\063' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1813 - 1764) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101000 + 0o13) + '\060' + chr(532 - 483), 55642 - 55634), ehT0Px3KOsy9(chr(48) + '\157' + chr(1216 - 1165) + chr(0b110111) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(5690 - 5579) + chr(0b110000 + 0o1) + chr(0b101111 + 0o3) + '\065', 36121 - 36113), ehT0Px3KOsy9(chr(1376 - 1328) + chr(0b1101001 + 0o6) + '\062' + chr(1027 - 979) + chr(1432 - 1380), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(458 - 407) + chr(0b110011) + '\x35', 21342 - 21334), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(48) + chr(0b101001 + 0o13), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + '\063' + chr(0b110010) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(51) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(6258 - 6147) + chr(0b1000 + 0o57) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\063' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110100) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2936 - 2825) + chr(0b110011) + chr(2497 - 2442) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(55) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1111 + 0o44) + chr(54) + chr(88 - 40), 0b1000), ehT0Px3KOsy9(chr(816 - 768) + chr(215 - 104) + chr(0b111 + 0o52) + '\065' + chr(323 - 272), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b110001) + '\063' + '\066', 0b1000), ehT0Px3KOsy9(chr(1297 - 1249) + chr(0b111111 + 0o60) + chr(2034 - 1985) + chr(0b110110) + chr(52), 0o10), ehT0Px3KOsy9(chr(219 - 171) + '\x6f' + chr(963 - 913) + chr(2491 - 2438) + chr(731 - 679), 64748 - 64740), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\062' + '\065', 0o10), ehT0Px3KOsy9(chr(419 - 371) + chr(9003 - 8892) + chr(0b11000 + 0o30), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\062' + chr(0b110000), 16733 - 16725), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\061' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(916 - 868) + chr(111) + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b110000), 8), ehT0Px3KOsy9(chr(701 - 653) + chr(111) + chr(0b110010) + chr(1293 - 1241) + chr(1264 - 1212), 0o10), ehT0Px3KOsy9(chr(1572 - 1524) + chr(2563 - 2452) + '\061' + chr(1786 - 1731) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(787 - 734) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + chr(471 - 420) + chr(0b100101 + 0o22) + chr(1980 - 1925), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1596 - 1546) + chr(0b110011) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2300 - 2249) + chr(352 - 304) + chr(0b100101 + 0o14), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110 + 0o60) + chr(0b100000 + 0o26), 19684 - 19676)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + '\x35' + chr(1587 - 1539), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x08'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(0b10110 + 0o116) + chr(0b1100101))(chr(117) + chr(12975 - 12859) + chr(0b110000 + 0o66) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WRblI5RSmvoX(oVre8I6UXc3b, GKGXFKoBb2qK=None):
if GKGXFKoBb2qK is None:
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.dropDuplicates()
else:
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.dropDuplicates(oVre8I6UXc3b._jseq(GKGXFKoBb2qK))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'U5]\xc7w=\xb9'), chr(100) + chr(0b110110 + 0o57) + chr(4606 - 4507) + chr(0b100010 + 0o115) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(987 - 942) + '\x38')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.dropna
|
def dropna(self, how='any', thresh=None, subset=None):
"""Returns a new :class:`DataFrame` omitting rows with null values.
:func:`DataFrame.dropna` and :func:`DataFrameNaFunctions.drop` are aliases of each other.
:param how: 'any' or 'all'.
If 'any', drop a row if it contains any nulls.
If 'all', drop a row only if all its values are null.
:param thresh: int, default None
If specified, drop rows that have less than `thresh` non-null values.
This overwrites the `how` parameter.
:param subset: optional list of column names to consider.
>>> df4.na.drop().show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 10| 80|Alice|
+---+------+-----+
"""
if how is not None and how not in ['any', 'all']:
raise ValueError("how ('" + how + "') should be 'any' or 'all'")
if subset is None:
subset = self.columns
elif isinstance(subset, basestring):
subset = [subset]
elif not isinstance(subset, (list, tuple)):
raise ValueError("subset should be a list or tuple of column names")
if thresh is None:
thresh = len(subset) if how == 'any' else 1
return DataFrame(self._jdf.na().drop(thresh, self._jseq(subset)), self.sql_ctx)
|
python
|
def dropna(self, how='any', thresh=None, subset=None):
"""Returns a new :class:`DataFrame` omitting rows with null values.
:func:`DataFrame.dropna` and :func:`DataFrameNaFunctions.drop` are aliases of each other.
:param how: 'any' or 'all'.
If 'any', drop a row if it contains any nulls.
If 'all', drop a row only if all its values are null.
:param thresh: int, default None
If specified, drop rows that have less than `thresh` non-null values.
This overwrites the `how` parameter.
:param subset: optional list of column names to consider.
>>> df4.na.drop().show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 10| 80|Alice|
+---+------+-----+
"""
if how is not None and how not in ['any', 'all']:
raise ValueError("how ('" + how + "') should be 'any' or 'all'")
if subset is None:
subset = self.columns
elif isinstance(subset, basestring):
subset = [subset]
elif not isinstance(subset, (list, tuple)):
raise ValueError("subset should be a list or tuple of column names")
if thresh is None:
thresh = len(subset) if how == 'any' else 1
return DataFrame(self._jdf.na().drop(thresh, self._jseq(subset)), self.sql_ctx)
|
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] |
Returns a new :class:`DataFrame` omitting rows with null values.
:func:`DataFrame.dropna` and :func:`DataFrameNaFunctions.drop` are aliases of each other.
:param how: 'any' or 'all'.
If 'any', drop a row if it contains any nulls.
If 'all', drop a row only if all its values are null.
:param thresh: int, default None
If specified, drop rows that have less than `thresh` non-null values.
This overwrites the `how` parameter.
:param subset: optional list of column names to consider.
>>> df4.na.drop().show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 10| 80|Alice|
+---+------+-----+
|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1568-L1600
|
train
|
Returns a new DataFrame with omitting rows with null values.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(741 - 688) + chr(0b110111), 27675 - 27667), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101111 + 0o3) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(8963 - 8852) + '\x37' + chr(0b101000 + 0o11), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + '\063' + chr(0b11 + 0o64) + chr(0b110000), 8019 - 8011), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(52) + chr(420 - 372), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b101111 + 0o2) + chr(0b110110) + chr(1863 - 1809), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\066' + '\063', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\067' + chr(0b110101 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(942 - 887) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(6716 - 6605) + chr(0b11111 + 0o23) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b110011) + '\060' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(6841 - 6730) + '\063' + '\x31' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\063' + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(4481 - 4370) + '\061' + chr(0b110001) + chr(0b10100 + 0o41), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1958 - 1908) + chr(54) + chr(342 - 291), 8), ehT0Px3KOsy9('\x30' + chr(6783 - 6672) + chr(0b110011 + 0o3) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\062' + '\063' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9393 - 9282) + chr(49) + chr(48) + chr(53), 0o10), ehT0Px3KOsy9(chr(109 - 61) + '\x6f' + '\061' + chr(2479 - 2428) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(8015 - 7904) + chr(51) + '\x30' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1827 - 1779) + '\x6f' + chr(0b10010 + 0o37) + chr(0b110111) + chr(1285 - 1230), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(490 - 440) + '\x33' + '\063', 0o10), ehT0Px3KOsy9(chr(95 - 47) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1686 - 1638) + '\x6f' + chr(50) + chr(0b110101) + '\061', 34015 - 34007), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + chr(0b110110) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x33' + chr(0b110001 + 0o0), 22207 - 22199), ehT0Px3KOsy9('\060' + chr(111) + chr(1061 - 1010) + chr(1933 - 1883) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(0b1101 + 0o45) + chr(0b110010) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110010) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2742 - 2687) + chr(0b110010), 10322 - 10314), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1030 - 981) + '\x33' + '\x33', 10378 - 10370), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(49) + chr(0b101101 + 0o4) + '\x31', 63886 - 63878), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o25) + chr(0b1011 + 0o47) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(1745 - 1696) + '\x35' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\065' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + '\x35' + '\067', 8), ehT0Px3KOsy9('\060' + chr(4023 - 3912) + chr(0b1000 + 0o53) + chr(50) + chr(0b1010 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x34' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(0b100001 + 0o21) + '\060' + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(412 - 359) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x01'), chr(1573 - 1473) + chr(2861 - 2760) + '\x63' + '\x6f' + '\x64' + chr(101))(chr(7881 - 7764) + chr(0b1100001 + 0o23) + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _zTUd6XPn3WJ(oVre8I6UXc3b, GP3fiKKWskI1=xafqLlk3kkUe(SXOLrMavuUCe(b'Nyh'), chr(0b111110 + 0o46) + chr(0b11100 + 0o111) + chr(99) + '\x6f' + chr(9760 - 9660) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(1403 - 1358) + chr(0b101001 + 0o17)), aV_ML5E6yBQq=None, GKGXFKoBb2qK=None):
if GP3fiKKWskI1 is not None and GP3fiKKWskI1 not in [xafqLlk3kkUe(SXOLrMavuUCe(b'Nyh'), chr(0b101100 + 0o70) + chr(0b1100101) + chr(0b1100011) + chr(0b1010011 + 0o34) + '\144' + chr(0b10110 + 0o117))(chr(5834 - 5717) + chr(116) + chr(0b1100110) + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'N{}'), chr(4595 - 4495) + chr(0b1100101) + chr(2061 - 1962) + chr(111) + chr(0b1100100) + chr(0b10 + 0o143))(chr(117) + '\164' + chr(102) + chr(45) + chr(56))]:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'Gxf\x19\xd0G'), chr(0b1010101 + 0o17) + chr(0b1100101) + chr(0b1000110 + 0o35) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + '\x38') + GP3fiKKWskI1 + xafqLlk3kkUe(SXOLrMavuUCe(b'\x08>1J\x90\x0f\x03\xdf\x19\x1ew\xa1\xef9,\xddJ\xbee0\xb7_\xbc\x84\xc5Y~'), chr(0b11010 + 0o112) + chr(0b1100101) + chr(8933 - 8834) + '\157' + chr(0b11011 + 0o111) + chr(101))('\165' + '\164' + chr(102) + '\x2d' + '\070'))
if GKGXFKoBb2qK is None:
GKGXFKoBb2qK = oVre8I6UXc3b.columns
elif PlSM16l2KDPD(GKGXFKoBb2qK, YUHmwdgm0K2P):
GKGXFKoBb2qK = [GKGXFKoBb2qK]
elif not PlSM16l2KDPD(GKGXFKoBb2qK, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\\bsJ\x9d\x14V\xc0\x15Q`\xa8\xab>/\xd6\x13\xf8e3\xac\x0c\xef\xc5\xc6Gy\xa0\xe3\xe2V>i:\r\rL\xb9\x8e\xf6By1W\x99\r\x13\xc0'), chr(0b11101 + 0o107) + '\x65' + chr(0b100001 + 0o102) + chr(111) + chr(335 - 235) + chr(3345 - 3244))(chr(117) + chr(116) + '\x66' + chr(45) + chr(0b101011 + 0o15)))
if aV_ML5E6yBQq is None:
aV_ML5E6yBQq = c2A0yzQpDQB3(GKGXFKoBb2qK) if GP3fiKKWskI1 == xafqLlk3kkUe(SXOLrMavuUCe(b'Nyh'), chr(0b1010100 + 0o20) + chr(6907 - 6806) + '\143' + chr(111) + chr(0b1100100) + chr(10192 - 10091))(chr(0b10011 + 0o142) + chr(826 - 710) + chr(0b10110 + 0o120) + chr(0b101101) + '\070') else ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2085 - 2036), 0o10)
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.na(), xafqLlk3kkUe(SXOLrMavuUCe(b'Ke~I'), chr(7228 - 7128) + '\145' + chr(0b1010100 + 0o17) + chr(0b1011000 + 0o27) + chr(3710 - 3610) + chr(0b1100101))(chr(117) + chr(0b11111 + 0o125) + '\146' + chr(0b101101) + chr(0b111000)))(aV_ML5E6yBQq, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'p}b\\\x89'), chr(0b1000001 + 0o43) + '\145' + '\x63' + chr(1340 - 1229) + chr(8566 - 8466) + '\x65')('\165' + '\x74' + chr(0b1100110) + '\055' + '\070'))(GKGXFKoBb2qK)), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\\f}f\x9b\x14\x0e'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(0b1010111 + 0o15) + chr(2160 - 2059))('\x75' + chr(1440 - 1324) + chr(0b1000101 + 0o41) + '\x2d' + '\070')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.fillna
|
def fillna(self, value, subset=None):
"""Replace null values, alias for ``na.fill()``.
:func:`DataFrame.fillna` and :func:`DataFrameNaFunctions.fill` are aliases of each other.
:param value: int, long, float, string, bool or dict.
Value to replace null values with.
If the value is a dict, then `subset` is ignored and `value` must be a mapping
from column name (string) to replacement value. The replacement value must be
an int, long, float, boolean, or string.
:param subset: optional list of column names to consider.
Columns specified in subset that do not have matching data type are ignored.
For example, if `value` is a string, and subset contains a non-string column,
then the non-string column is simply ignored.
>>> df4.na.fill(50).show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 10| 80|Alice|
| 5| 50| Bob|
| 50| 50| Tom|
| 50| 50| null|
+---+------+-----+
>>> df5.na.fill(False).show()
+----+-------+-----+
| age| name| spy|
+----+-------+-----+
| 10| Alice|false|
| 5| Bob|false|
|null|Mallory| true|
+----+-------+-----+
>>> df4.na.fill({'age': 50, 'name': 'unknown'}).show()
+---+------+-------+
|age|height| name|
+---+------+-------+
| 10| 80| Alice|
| 5| null| Bob|
| 50| null| Tom|
| 50| null|unknown|
+---+------+-------+
"""
if not isinstance(value, (float, int, long, basestring, bool, dict)):
raise ValueError("value should be a float, int, long, string, bool or dict")
# Note that bool validates isinstance(int), but we don't want to
# convert bools to floats
if not isinstance(value, bool) and isinstance(value, (int, long)):
value = float(value)
if isinstance(value, dict):
return DataFrame(self._jdf.na().fill(value), self.sql_ctx)
elif subset is None:
return DataFrame(self._jdf.na().fill(value), self.sql_ctx)
else:
if isinstance(subset, basestring):
subset = [subset]
elif not isinstance(subset, (list, tuple)):
raise ValueError("subset should be a list or tuple of column names")
return DataFrame(self._jdf.na().fill(value, self._jseq(subset)), self.sql_ctx)
|
python
|
def fillna(self, value, subset=None):
"""Replace null values, alias for ``na.fill()``.
:func:`DataFrame.fillna` and :func:`DataFrameNaFunctions.fill` are aliases of each other.
:param value: int, long, float, string, bool or dict.
Value to replace null values with.
If the value is a dict, then `subset` is ignored and `value` must be a mapping
from column name (string) to replacement value. The replacement value must be
an int, long, float, boolean, or string.
:param subset: optional list of column names to consider.
Columns specified in subset that do not have matching data type are ignored.
For example, if `value` is a string, and subset contains a non-string column,
then the non-string column is simply ignored.
>>> df4.na.fill(50).show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 10| 80|Alice|
| 5| 50| Bob|
| 50| 50| Tom|
| 50| 50| null|
+---+------+-----+
>>> df5.na.fill(False).show()
+----+-------+-----+
| age| name| spy|
+----+-------+-----+
| 10| Alice|false|
| 5| Bob|false|
|null|Mallory| true|
+----+-------+-----+
>>> df4.na.fill({'age': 50, 'name': 'unknown'}).show()
+---+------+-------+
|age|height| name|
+---+------+-------+
| 10| 80| Alice|
| 5| null| Bob|
| 50| null| Tom|
| 50| null|unknown|
+---+------+-------+
"""
if not isinstance(value, (float, int, long, basestring, bool, dict)):
raise ValueError("value should be a float, int, long, string, bool or dict")
# Note that bool validates isinstance(int), but we don't want to
# convert bools to floats
if not isinstance(value, bool) and isinstance(value, (int, long)):
value = float(value)
if isinstance(value, dict):
return DataFrame(self._jdf.na().fill(value), self.sql_ctx)
elif subset is None:
return DataFrame(self._jdf.na().fill(value), self.sql_ctx)
else:
if isinstance(subset, basestring):
subset = [subset]
elif not isinstance(subset, (list, tuple)):
raise ValueError("subset should be a list or tuple of column names")
return DataFrame(self._jdf.na().fill(value, self._jseq(subset)), self.sql_ctx)
|
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] |
Replace null values, alias for ``na.fill()``.
:func:`DataFrame.fillna` and :func:`DataFrameNaFunctions.fill` are aliases of each other.
:param value: int, long, float, string, bool or dict.
Value to replace null values with.
If the value is a dict, then `subset` is ignored and `value` must be a mapping
from column name (string) to replacement value. The replacement value must be
an int, long, float, boolean, or string.
:param subset: optional list of column names to consider.
Columns specified in subset that do not have matching data type are ignored.
For example, if `value` is a string, and subset contains a non-string column,
then the non-string column is simply ignored.
>>> df4.na.fill(50).show()
+---+------+-----+
|age|height| name|
+---+------+-----+
| 10| 80|Alice|
| 5| 50| Bob|
| 50| 50| Tom|
| 50| 50| null|
+---+------+-----+
>>> df5.na.fill(False).show()
+----+-------+-----+
| age| name| spy|
+----+-------+-----+
| 10| Alice|false|
| 5| Bob|false|
|null|Mallory| true|
+----+-------+-----+
>>> df4.na.fill({'age': 50, 'name': 'unknown'}).show()
+---+------+-------+
|age|height| name|
+---+------+-------+
| 10| 80| Alice|
| 5| null| Bob|
| 50| null| Tom|
| 50| null|unknown|
+---+------+-------+
|
[
"Replace",
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"values",
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"for",
"na",
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"each",
"other",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1603-L1665
|
train
|
Fill missing values with the given value.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110011) + chr(55) + chr(538 - 485), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(2324 - 2275) + chr(0b11 + 0o61) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(49) + chr(2399 - 2345) + chr(1733 - 1680), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(10394 - 10283) + chr(0b110001) + '\066' + chr(2295 - 2246), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1761 - 1711) + chr(0b1 + 0o66) + chr(2229 - 2181), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2858 - 2804) + chr(1238 - 1185), 56217 - 56209), ehT0Px3KOsy9(chr(671 - 623) + chr(0b111101 + 0o62) + chr(0b11111 + 0o22) + '\x32' + '\065', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110010) + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(50) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(1448 - 1337) + '\x31' + chr(0b110010) + '\066', 0b1000), ehT0Px3KOsy9(chr(2124 - 2076) + '\157' + '\065' + chr(51), 38239 - 38231), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x35' + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o61) + chr(0b110000 + 0o2) + chr(1689 - 1639), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b101001 + 0o11) + chr(2089 - 2040), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b11001 + 0o30) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1879 - 1831) + chr(111) + '\x31' + '\062' + '\061', 7740 - 7732), ehT0Px3KOsy9(chr(603 - 555) + chr(111) + chr(51) + chr(854 - 804) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + chr(0b10001 + 0o41) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b100110 + 0o15) + '\x37', 51798 - 51790), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + '\x32' + chr(0b100011 + 0o17) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101101 + 0o6) + '\060', 4479 - 4471), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o37) + chr(593 - 542), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1507 - 1458), 63422 - 63414), ehT0Px3KOsy9('\x30' + chr(2064 - 1953) + chr(2694 - 2641) + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9(chr(1632 - 1584) + '\157' + chr(0b110001) + chr(1953 - 1901) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b10110 + 0o33) + '\x36' + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\065' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110010) + '\x30' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b1110 + 0o50) + chr(0b11000 + 0o31), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x36' + chr(0b110110), 52647 - 52639), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + chr(0b101111 + 0o2) + '\x30' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10000 + 0o41) + '\x30' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + chr(2137 - 2088), 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1011101 + 0o22) + chr(49) + chr(0b11 + 0o60) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6983 - 6872) + chr(0b110011) + chr(338 - 287), 15914 - 15906), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b11110 + 0o121) + chr(51) + '\x34' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110111) + chr(0b1 + 0o61), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x35' + '\x31', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(3449 - 3349) + '\x65' + chr(0b11010 + 0o111) + chr(0b100011 + 0o114) + chr(2205 - 2105) + chr(4080 - 3979))(chr(0b1110101) + '\164' + '\146' + chr(602 - 557) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WhVSCjZUYrOg(oVre8I6UXc3b, QmmgWUB13VCJ, GKGXFKoBb2qK=None):
if not PlSM16l2KDPD(QmmgWUB13VCJ, (kkSX4ccExqw4, ehT0Px3KOsy9, OMGcKau557qa, YUHmwdgm0K2P, WbBjf8Y7v9VN, wLqBDw8l0eIm)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x00\x19\x04\xdd\x15&\xfe\xf9[:ON\xf0\xb4k0\xf4s3\xffyW-\x08\rY\x05\x84\xa3]\x19*!\x1dyh\x92\x08\x00\x93\x06YQ\xdaZ:\xfa\xb6A$\x0b\n\xfb\xb2?'), chr(1766 - 1666) + chr(0b1000010 + 0o43) + '\143' + chr(6722 - 6611) + chr(0b1100100) + '\145')(chr(0b1101010 + 0o13) + chr(116) + chr(0b101100 + 0o72) + chr(0b111 + 0o46) + chr(0b111000)))
if not PlSM16l2KDPD(QmmgWUB13VCJ, WbBjf8Y7v9VN) and PlSM16l2KDPD(QmmgWUB13VCJ, (ehT0Px3KOsy9, OMGcKau557qa)):
QmmgWUB13VCJ = kkSX4ccExqw4(QmmgWUB13VCJ)
if PlSM16l2KDPD(QmmgWUB13VCJ, wLqBDw8l0eIm):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.na(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x08\x19\x1d'), chr(100) + chr(0b1100101) + chr(0b101101 + 0o66) + chr(0b1101111) + chr(7730 - 7630) + chr(3571 - 3470))('\165' + '\x74' + '\146' + chr(0b10001 + 0o34) + chr(1341 - 1285)))(QmmgWUB13VCJ), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x10\x19.\xdbA-'), chr(0b1100100) + chr(0b1100101) + chr(0b110110 + 0o55) + '\x6f' + chr(100) + '\145')(chr(0b101011 + 0o112) + chr(116) + '\x66' + chr(1930 - 1885) + chr(2637 - 2581))))
elif GKGXFKoBb2qK is None:
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.na(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x08\x19\x1d'), chr(6351 - 6251) + chr(669 - 568) + chr(0b1100011) + chr(111) + chr(0b111010 + 0o52) + chr(101))(chr(0b0 + 0o165) + chr(0b110111 + 0o75) + chr(5069 - 4967) + '\x2d' + chr(56)))(QmmgWUB13VCJ), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x10\x19.\xdbA-'), chr(0b1001101 + 0o27) + chr(0b0 + 0o145) + chr(8883 - 8784) + chr(0b1101111) + chr(100) + chr(101))(chr(2882 - 2765) + chr(0b1110100) + '\146' + chr(1614 - 1569) + chr(2528 - 2472))))
else:
if PlSM16l2KDPD(GKGXFKoBb2qK, YUHmwdgm0K2P):
GKGXFKoBb2qK = [GKGXFKoBb2qK]
elif not PlSM16l2KDPD(GKGXFKoBb2qK, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x14\x17\x02\xddAu\xe5\xfeA#G\n\xb2\xb3.q\xb553\xf9kW!G\x16\x17\x05\xdd\xf3]\x13d)Wyx\x89\x16\x1c\x90\x0fU\x1f\xd9X0\xe5'), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b101110 + 0o106) + '\x66' + chr(0b101101) + '\070'))
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.na(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x08\x19\x1d'), chr(0b1100100) + chr(10063 - 9962) + '\143' + chr(0b1101001 + 0o6) + chr(0b1000100 + 0o40) + '\145')('\x75' + chr(116) + chr(0b10 + 0o144) + '\055' + chr(0b11011 + 0o35)))(QmmgWUB13VCJ, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x0b\x06\x14\xc9'), '\x64' + chr(5071 - 4970) + chr(99) + '\157' + chr(100) + chr(3659 - 3558))(chr(0b1110101) + '\164' + chr(0b0 + 0o146) + chr(45) + '\x38'))(GKGXFKoBb2qK)), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x10\x19.\xdbA-'), chr(1707 - 1607) + chr(101) + '\143' + chr(0b110001 + 0o76) + chr(100) + '\x65')('\x75' + chr(0b1000011 + 0o61) + '\146' + chr(0b101000 + 0o5) + chr(56))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.replace
|
def replace(self, to_replace, value=_NoValue, subset=None):
"""Returns a new :class:`DataFrame` replacing a value with another value.
:func:`DataFrame.replace` and :func:`DataFrameNaFunctions.replace` are
aliases of each other.
Values to_replace and value must have the same type and can only be numerics, booleans,
or strings. Value can have None. When replacing, the new value will be cast
to the type of the existing column.
For numeric replacements all values to be replaced should have unique
floating point representation. In case of conflicts (for example with `{42: -1, 42.0: 1}`)
and arbitrary replacement will be used.
:param to_replace: bool, int, long, float, string, list or dict.
Value to be replaced.
If the value is a dict, then `value` is ignored or can be omitted, and `to_replace`
must be a mapping between a value and a replacement.
:param value: bool, int, long, float, string, list or None.
The replacement value must be a bool, int, long, float, string or None. If `value` is a
list, `value` should be of the same length and type as `to_replace`.
If `value` is a scalar and `to_replace` is a sequence, then `value` is
used as a replacement for each item in `to_replace`.
:param subset: optional list of column names to consider.
Columns specified in subset that do not have matching data type are ignored.
For example, if `value` is a string, and subset contains a non-string column,
then the non-string column is simply ignored.
>>> df4.na.replace(10, 20).show()
+----+------+-----+
| age|height| name|
+----+------+-----+
| 20| 80|Alice|
| 5| null| Bob|
|null| null| Tom|
|null| null| null|
+----+------+-----+
>>> df4.na.replace('Alice', None).show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80|null|
| 5| null| Bob|
|null| null| Tom|
|null| null|null|
+----+------+----+
>>> df4.na.replace({'Alice': None}).show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80|null|
| 5| null| Bob|
|null| null| Tom|
|null| null|null|
+----+------+----+
>>> df4.na.replace(['Alice', 'Bob'], ['A', 'B'], 'name').show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80| A|
| 5| null| B|
|null| null| Tom|
|null| null|null|
+----+------+----+
"""
if value is _NoValue:
if isinstance(to_replace, dict):
value = None
else:
raise TypeError("value argument is required when to_replace is not a dictionary.")
# Helper functions
def all_of(types):
"""Given a type or tuple of types and a sequence of xs
check if each x is instance of type(s)
>>> all_of(bool)([True, False])
True
>>> all_of(basestring)(["a", 1])
False
"""
def all_of_(xs):
return all(isinstance(x, types) for x in xs)
return all_of_
all_of_bool = all_of(bool)
all_of_str = all_of(basestring)
all_of_numeric = all_of((float, int, long))
# Validate input types
valid_types = (bool, float, int, long, basestring, list, tuple)
if not isinstance(to_replace, valid_types + (dict, )):
raise ValueError(
"to_replace should be a bool, float, int, long, string, list, tuple, or dict. "
"Got {0}".format(type(to_replace)))
if not isinstance(value, valid_types) and value is not None \
and not isinstance(to_replace, dict):
raise ValueError("If to_replace is not a dict, value should be "
"a bool, float, int, long, string, list, tuple or None. "
"Got {0}".format(type(value)))
if isinstance(to_replace, (list, tuple)) and isinstance(value, (list, tuple)):
if len(to_replace) != len(value):
raise ValueError("to_replace and value lists should be of the same length. "
"Got {0} and {1}".format(len(to_replace), len(value)))
if not (subset is None or isinstance(subset, (list, tuple, basestring))):
raise ValueError("subset should be a list or tuple of column names, "
"column name or None. Got {0}".format(type(subset)))
# Reshape input arguments if necessary
if isinstance(to_replace, (float, int, long, basestring)):
to_replace = [to_replace]
if isinstance(to_replace, dict):
rep_dict = to_replace
if value is not None:
warnings.warn("to_replace is a dict and value is not None. value will be ignored.")
else:
if isinstance(value, (float, int, long, basestring)) or value is None:
value = [value for _ in range(len(to_replace))]
rep_dict = dict(zip(to_replace, value))
if isinstance(subset, basestring):
subset = [subset]
# Verify we were not passed in mixed type generics.
if not any(all_of_type(rep_dict.keys())
and all_of_type(x for x in rep_dict.values() if x is not None)
for all_of_type in [all_of_bool, all_of_str, all_of_numeric]):
raise ValueError("Mixed type replacements are not supported")
if subset is None:
return DataFrame(self._jdf.na().replace('*', rep_dict), self.sql_ctx)
else:
return DataFrame(
self._jdf.na().replace(self._jseq(subset), self._jmap(rep_dict)), self.sql_ctx)
|
python
|
def replace(self, to_replace, value=_NoValue, subset=None):
"""Returns a new :class:`DataFrame` replacing a value with another value.
:func:`DataFrame.replace` and :func:`DataFrameNaFunctions.replace` are
aliases of each other.
Values to_replace and value must have the same type and can only be numerics, booleans,
or strings. Value can have None. When replacing, the new value will be cast
to the type of the existing column.
For numeric replacements all values to be replaced should have unique
floating point representation. In case of conflicts (for example with `{42: -1, 42.0: 1}`)
and arbitrary replacement will be used.
:param to_replace: bool, int, long, float, string, list or dict.
Value to be replaced.
If the value is a dict, then `value` is ignored or can be omitted, and `to_replace`
must be a mapping between a value and a replacement.
:param value: bool, int, long, float, string, list or None.
The replacement value must be a bool, int, long, float, string or None. If `value` is a
list, `value` should be of the same length and type as `to_replace`.
If `value` is a scalar and `to_replace` is a sequence, then `value` is
used as a replacement for each item in `to_replace`.
:param subset: optional list of column names to consider.
Columns specified in subset that do not have matching data type are ignored.
For example, if `value` is a string, and subset contains a non-string column,
then the non-string column is simply ignored.
>>> df4.na.replace(10, 20).show()
+----+------+-----+
| age|height| name|
+----+------+-----+
| 20| 80|Alice|
| 5| null| Bob|
|null| null| Tom|
|null| null| null|
+----+------+-----+
>>> df4.na.replace('Alice', None).show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80|null|
| 5| null| Bob|
|null| null| Tom|
|null| null|null|
+----+------+----+
>>> df4.na.replace({'Alice': None}).show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80|null|
| 5| null| Bob|
|null| null| Tom|
|null| null|null|
+----+------+----+
>>> df4.na.replace(['Alice', 'Bob'], ['A', 'B'], 'name').show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80| A|
| 5| null| B|
|null| null| Tom|
|null| null|null|
+----+------+----+
"""
if value is _NoValue:
if isinstance(to_replace, dict):
value = None
else:
raise TypeError("value argument is required when to_replace is not a dictionary.")
# Helper functions
def all_of(types):
"""Given a type or tuple of types and a sequence of xs
check if each x is instance of type(s)
>>> all_of(bool)([True, False])
True
>>> all_of(basestring)(["a", 1])
False
"""
def all_of_(xs):
return all(isinstance(x, types) for x in xs)
return all_of_
all_of_bool = all_of(bool)
all_of_str = all_of(basestring)
all_of_numeric = all_of((float, int, long))
# Validate input types
valid_types = (bool, float, int, long, basestring, list, tuple)
if not isinstance(to_replace, valid_types + (dict, )):
raise ValueError(
"to_replace should be a bool, float, int, long, string, list, tuple, or dict. "
"Got {0}".format(type(to_replace)))
if not isinstance(value, valid_types) and value is not None \
and not isinstance(to_replace, dict):
raise ValueError("If to_replace is not a dict, value should be "
"a bool, float, int, long, string, list, tuple or None. "
"Got {0}".format(type(value)))
if isinstance(to_replace, (list, tuple)) and isinstance(value, (list, tuple)):
if len(to_replace) != len(value):
raise ValueError("to_replace and value lists should be of the same length. "
"Got {0} and {1}".format(len(to_replace), len(value)))
if not (subset is None or isinstance(subset, (list, tuple, basestring))):
raise ValueError("subset should be a list or tuple of column names, "
"column name or None. Got {0}".format(type(subset)))
# Reshape input arguments if necessary
if isinstance(to_replace, (float, int, long, basestring)):
to_replace = [to_replace]
if isinstance(to_replace, dict):
rep_dict = to_replace
if value is not None:
warnings.warn("to_replace is a dict and value is not None. value will be ignored.")
else:
if isinstance(value, (float, int, long, basestring)) or value is None:
value = [value for _ in range(len(to_replace))]
rep_dict = dict(zip(to_replace, value))
if isinstance(subset, basestring):
subset = [subset]
# Verify we were not passed in mixed type generics.
if not any(all_of_type(rep_dict.keys())
and all_of_type(x for x in rep_dict.values() if x is not None)
for all_of_type in [all_of_bool, all_of_str, all_of_numeric]):
raise ValueError("Mixed type replacements are not supported")
if subset is None:
return DataFrame(self._jdf.na().replace('*', rep_dict), self.sql_ctx)
else:
return DataFrame(
self._jdf.na().replace(self._jseq(subset), self._jmap(rep_dict)), self.sql_ctx)
|
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Returns a new :class:`DataFrame` replacing a value with another value.
:func:`DataFrame.replace` and :func:`DataFrameNaFunctions.replace` are
aliases of each other.
Values to_replace and value must have the same type and can only be numerics, booleans,
or strings. Value can have None. When replacing, the new value will be cast
to the type of the existing column.
For numeric replacements all values to be replaced should have unique
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and arbitrary replacement will be used.
:param to_replace: bool, int, long, float, string, list or dict.
Value to be replaced.
If the value is a dict, then `value` is ignored or can be omitted, and `to_replace`
must be a mapping between a value and a replacement.
:param value: bool, int, long, float, string, list or None.
The replacement value must be a bool, int, long, float, string or None. If `value` is a
list, `value` should be of the same length and type as `to_replace`.
If `value` is a scalar and `to_replace` is a sequence, then `value` is
used as a replacement for each item in `to_replace`.
:param subset: optional list of column names to consider.
Columns specified in subset that do not have matching data type are ignored.
For example, if `value` is a string, and subset contains a non-string column,
then the non-string column is simply ignored.
>>> df4.na.replace(10, 20).show()
+----+------+-----+
| age|height| name|
+----+------+-----+
| 20| 80|Alice|
| 5| null| Bob|
|null| null| Tom|
|null| null| null|
+----+------+-----+
>>> df4.na.replace('Alice', None).show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80|null|
| 5| null| Bob|
|null| null| Tom|
|null| null|null|
+----+------+----+
>>> df4.na.replace({'Alice': None}).show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80|null|
| 5| null| Bob|
|null| null| Tom|
|null| null|null|
+----+------+----+
>>> df4.na.replace(['Alice', 'Bob'], ['A', 'B'], 'name').show()
+----+------+----+
| age|height|name|
+----+------+----+
| 10| 80| A|
| 5| null| B|
|null| null| Tom|
|null| null|null|
+----+------+----+
|
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618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1668-L1805
|
train
|
Returns a new DataFrame with the values replaced with another value.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(511 - 463) + chr(111) + chr(50) + chr(0b11000 + 0o31) + chr(0b110100), 44618 - 44610), ehT0Px3KOsy9('\060' + '\157' + chr(0b110000 + 0o1) + '\067' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1179 - 1131) + chr(111) + '\063' + chr(0b110010) + '\x30', 28494 - 28486), ehT0Px3KOsy9(chr(0b110000) + chr(565 - 454) + chr(142 - 89), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(0b11000 + 0o32), 10203 - 10195), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(52) + '\x32', 0b1000), ehT0Px3KOsy9(chr(2254 - 2206) + chr(111) + '\062' + chr(0b110110) + chr(0b110111), 44324 - 44316), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b10001 + 0o40) + chr(0b10100 + 0o40) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6762 - 6651) + chr(51) + chr(511 - 463) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(7332 - 7221) + '\062' + chr(0b110110) + chr(0b10010 + 0o42), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x32' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(9834 - 9723) + '\x32' + '\x35' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x34' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(1281 - 1170) + '\063' + chr(0b11010 + 0o27) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(7284 - 7173) + '\063' + chr(2379 - 2329), 0o10), ehT0Px3KOsy9(chr(793 - 745) + chr(0b1101111) + chr(0b110001) + chr(0b10 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2236 - 2187) + '\066' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(1734 - 1685) + chr(0b10010 + 0o45) + chr(0b101000 + 0o17), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x36' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b101011 + 0o6) + chr(52), 0o10), ehT0Px3KOsy9(chr(752 - 704) + chr(111) + '\x32' + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b10101 + 0o132) + chr(0b110011) + chr(0b110101) + chr(0b10110 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x33' + chr(2335 - 2286) + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(1170 - 1122) + '\157' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + chr(2540 - 2485), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(55) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(1811 - 1761) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(2446 - 2395) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x33' + chr(0b101010 + 0o11), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10110 + 0o33) + '\x34' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b101001 + 0o10) + chr(0b1110 + 0o45), 0o10), ehT0Px3KOsy9(chr(281 - 233) + chr(0b1101111) + chr(809 - 760) + chr(639 - 586) + chr(0b1000 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b11 + 0o62) + chr(1064 - 1009), 58824 - 58816), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\x33' + '\x36' + chr(50), 9395 - 9387), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o2) + chr(2124 - 2072) + '\067', 0b1000), ehT0Px3KOsy9(chr(605 - 557) + chr(0b1101111) + chr(0b101 + 0o60) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(51) + chr(54) + chr(1794 - 1742), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b110011) + chr(68 - 20) + chr(0b110001), 39474 - 39466)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(601 - 548) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2'), chr(2879 - 2779) + chr(0b101 + 0o140) + chr(0b110010 + 0o61) + chr(0b1101111) + chr(2104 - 2004) + '\145')(chr(117) + chr(9940 - 9824) + chr(0b1000011 + 0o43) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bIswzHAqqeWd(oVre8I6UXc3b, Ft11VfwfRKIe, QmmgWUB13VCJ=PR5DnxfhAJRC, GKGXFKoBb2qK=None):
if QmmgWUB13VCJ is PR5DnxfhAJRC:
if PlSM16l2KDPD(Ft11VfwfRKIe, wLqBDw8l0eIm):
QmmgWUB13VCJ = None
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\x1e\xbcpg\x82\xd6\x12\xa1\xc1\x06\xf6\xc7\xd0\xecszQ\r\xd0}\xe5\x86\xb8fC\xd9\xe1q\xfe\rk\x19\xc0\xad\x95M\x84C\xa0\xef\x1a\xf0lq\x82\xd9\x0f\xb2\x94\n\xb3\xcd\xcd\xafn`\x1e\x11\xd4~\xe9\xc1'), '\x64' + chr(0b1001111 + 0o26) + chr(156 - 57) + chr(8489 - 8378) + '\x64' + chr(5970 - 5869))('\165' + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)))
def vvuy_lB5oH_6(yorMPSC245Rr):
def oRfFeREbVOWR(f0GvdYMiCwc9):
return Dl48nj1rbi23((PlSM16l2KDPD(OeWW0F1dBPRQ, yorMPSC245Rr) for OeWW0F1dBPRQ in f0GvdYMiCwc9))
return oRfFeREbVOWR
QocgHTMTF9VU = vvuy_lB5oH_6(WbBjf8Y7v9VN)
txXqo_HojZq0 = vvuy_lB5oH_6(YUHmwdgm0K2P)
GywtKKlY2xm2 = vvuy_lB5oH_6((kkSX4ccExqw4, ehT0Px3KOsy9, OMGcKau557qa))
RwVMMdJHKcvo = (WbBjf8Y7v9VN, kkSX4ccExqw4, ehT0Px3KOsy9, OMGcKau557qa, YUHmwdgm0K2P, YyaZ4tpXu4lf, KNyTy8rYcwji)
if not PlSM16l2KDPD(Ft11VfwfRKIe, RwVMMdJHKcvo + (wLqBDw8l0eIm,)):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x10\x8fwg\xd2\xdb\x01\xa5\xd1K\xe0\xc1\xcb\xb9vmQ\x1d\xd0,\xf1\xcf\xa8lH\x95\xba9\xfd\x0f$\x0c\xdb\xde\xc7A\x9a[\xed\xac\x13\xbfke\x8e\x97\x13\xb2\xc6\x02\xfd\xce\x88\xecv`\x02\x0b\x99,\xe4\x9a\xbaoB\xd5\xb6v\xe9C/\x04\xcc\x86\xc9\x08\xb3@\xb5\xac\x04\xe0x'), chr(100) + chr(0b110 + 0o137) + '\x63' + chr(2750 - 2639) + chr(8252 - 8152) + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(0b1000 + 0o45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x10\xa2hc\xd6'), chr(0b1001010 + 0o32) + chr(0b1001 + 0o134) + '\x63' + '\x6f' + '\x64' + chr(101))(chr(5596 - 5479) + chr(0b111000 + 0o74) + chr(0b1100110) + '\x2d' + chr(0b111000)))(wmQmyeWBmUpv(Ft11VfwfRKIe)))
if not PlSM16l2KDPD(QmmgWUB13VCJ, RwVMMdJHKcvo) and QmmgWUB13VCJ is not None and (not PlSM16l2KDPD(Ft11VfwfRKIe, wLqBDw8l0eIm)):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x19\xf0qm\xfd\xc5\x05\xb6\xd8\n\xf0\xcc\x84\xa5i)\x1f\x10\xc1,\xf1\xcf\xaejD\x8d\xba9\xed\x02\'\x18\xca\xd2\x94@\x9bZ\xad\xe8_\xb2`"\xc3\x97\x02\xa9\xdb\x07\xbf\x89\xc2\xa0uh\x05S\x95e\xfe\x9b\xe6#K\x96\xf8~\xb7C8\x19\xdd\x9b\x89O\xd8\x0f\xad\xe5\x0c\xa4)"\xd6\xc2\x10\xaa\xd1K\xfc\xdb\x84\x82ug\x14Q\x95K\xff\x9b\xeax\x17\x84'), chr(0b1100100) + '\x65' + '\143' + chr(0b11010 + 0o125) + '\x64' + chr(0b11000 + 0o115))('\x75' + chr(0b1110100) + '\146' + chr(1920 - 1875) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x10\xa2hc\xd6'), chr(3475 - 3375) + chr(101) + chr(99) + chr(111) + chr(0b1100100) + chr(0b10100 + 0o121))(chr(0b1110101) + chr(0b10000 + 0o144) + '\x66' + chr(0b101101) + '\070'))(wmQmyeWBmUpv(QmmgWUB13VCJ)))
if PlSM16l2KDPD(Ft11VfwfRKIe, (YyaZ4tpXu4lf, KNyTy8rYcwji)) and PlSM16l2KDPD(QmmgWUB13VCJ, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
if c2A0yzQpDQB3(Ft11VfwfRKIe) != c2A0yzQpDQB3(QmmgWUB13VCJ):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"\xf8\x10\x8fwg\xd2\xdb\x01\xa5\xd1K\xf2\xc7\xc0\xeclh\x1d\n\xd0,\xfc\x86\xb9wT\xd9\xe5q\xf4\x16'\t\x8f\x90\x82\x08\x9bI\xe1\xf8\x17\xb5%q\xc3\xda\x05\xe6\xd8\x0e\xfd\xce\xd0\xa44)6\x10\xc1,\xeb\xdf\xb7#F\x97\xf29\xe0R6"), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + chr(4404 - 4303))(chr(117) + chr(8711 - 8595) + chr(0b1100110) + chr(331 - 286) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x10\xa2hc\xd6'), chr(0b1011011 + 0o11) + chr(0b1100101) + '\x63' + chr(0b1000001 + 0o56) + chr(100) + chr(0b1100101))(chr(0b1000000 + 0o65) + '\x74' + '\146' + chr(45) + '\x38'))(c2A0yzQpDQB3(Ft11VfwfRKIe), c2A0yzQpDQB3(QmmgWUB13VCJ)))
if not (GKGXFKoBb2qK is None or PlSM16l2KDPD(GKGXFKoBb2qK, (YyaZ4tpXu4lf, KNyTy8rYcwji, YUHmwdgm0K2P))):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\n\xb2vg\xd6\x97\x13\xae\xdb\x1e\xff\xcd\x84\xae\x7f)\x10_\xd9e\xe3\x9b\xealU\xd9\xe2l\xeb\x0f.M\xc0\x94\xc7K\x9bC\xb4\xe1\x11\xf0kc\xcf\xd2\x13\xea\x94\x08\xfc\xc5\xd1\xa1t)\x1f\x1e\xd8i\xb0\x80\xb8#i\x96\xf8|\xb5C\x0c\x02\xdb\xd2\x9c\x18\x89'), chr(100) + '\145' + chr(99) + '\157' + '\144' + '\145')(chr(117) + '\x74' + '\x66' + '\x2d' + chr(0b110101 + 0o3)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x10\xa2hc\xd6'), chr(0b1100100) + '\x65' + '\143' + '\x6f' + chr(4498 - 4398) + '\145')('\165' + chr(12867 - 12751) + chr(0b11001 + 0o115) + chr(0b110 + 0o47) + chr(56)))(wmQmyeWBmUpv(GKGXFKoBb2qK)))
if PlSM16l2KDPD(Ft11VfwfRKIe, (kkSX4ccExqw4, ehT0Px3KOsy9, OMGcKau557qa, YUHmwdgm0K2P)):
Ft11VfwfRKIe = [Ft11VfwfRKIe]
if PlSM16l2KDPD(Ft11VfwfRKIe, wLqBDw8l0eIm):
zAvj51jYP8NV = Ft11VfwfRKIe
if QmmgWUB13VCJ is not None:
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\x1e\xa2k'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(8951 - 8840) + chr(757 - 657) + '\145')(chr(0b1110101) + chr(0b11100 + 0o130) + chr(0b11100 + 0o112) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x10\x8fwg\xd2\xdb\x01\xa5\xd1K\xfa\xda\x84\xad:m\x18\x1c\xc1,\xf1\x81\xae#Q\x98\xfal\xfeC"\x1e\x8f\x9c\x88\\\xd4a\xae\xe2\x1a\xfe%t\xc3\xdb\x15\xa3\x94\x1c\xfa\xc5\xc8\xecxlQ\x16\xd2b\xff\x9d\xafg\t'), chr(3742 - 3642) + chr(101) + chr(0b1101 + 0o126) + chr(0b1101111) + chr(4825 - 4725) + '\x65')('\165' + chr(0b1110100) + chr(7513 - 7411) + chr(777 - 732) + '\x38'))
else:
if PlSM16l2KDPD(QmmgWUB13VCJ, (kkSX4ccExqw4, ehT0Px3KOsy9, OMGcKau557qa, YUHmwdgm0K2P)) or QmmgWUB13VCJ is None:
QmmgWUB13VCJ = [QmmgWUB13VCJ for VNGQdHSFPrso in vQr8gNKaIaWE(c2A0yzQpDQB3(Ft11VfwfRKIe))]
zAvj51jYP8NV = wLqBDw8l0eIm(pZ0NK2y6HRbn(Ft11VfwfRKIe, QmmgWUB13VCJ))
if PlSM16l2KDPD(GKGXFKoBb2qK, YUHmwdgm0K2P):
GKGXFKoBb2qK = [GKGXFKoBb2qK]
if not UVSi4XW7eBIM((_0eSLO4wzjtA(xafqLlk3kkUe(zAvj51jYP8NV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\x1a\xa9v'), chr(3152 - 3052) + chr(101) + chr(0b110101 + 0o56) + chr(111) + chr(100) + chr(101))(chr(117) + chr(0b1110100) + '\146' + '\055' + chr(56)))()) and _0eSLO4wzjtA((OeWW0F1dBPRQ for OeWW0F1dBPRQ in xafqLlk3kkUe(zAvj51jYP8NV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf/\xbeFL\xd7\x82T\x8e\x85\x0f\xf1'), chr(0b1100100) + chr(5958 - 5857) + chr(0b1011010 + 0o11) + chr(111) + chr(0b110101 + 0o57) + '\145')(chr(0b1110101) + chr(116) + '\146' + chr(45) + chr(0b100100 + 0o24)))() if OeWW0F1dBPRQ is not None)) for _0eSLO4wzjtA in [QocgHTMTF9VU, txXqo_HojZq0, GywtKKlY2xm2])):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x16\xa8`f\x82\xc3\x19\xb6\xd1K\xe1\xcc\xd4\xa0{j\x14\x12\xd0b\xe4\x9c\xeabU\x9c\xb6w\xf4\x17k\x1e\xda\x82\x97G\x86[\xa4\xe8'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + chr(7950 - 7850) + chr(0b1100101))('\x75' + '\x74' + '\146' + '\055' + '\070'))
if GKGXFKoBb2qK is None:
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.na(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\x1a\xa0ic\xc1\xd2'), chr(0b1100100) + chr(101) + '\x63' + chr(309 - 198) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110000 + 0o4) + chr(0b111100 + 0o52) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), '\144' + chr(0b1000010 + 0o43) + chr(0b1100011) + chr(0b10101 + 0o132) + chr(100) + chr(0b1100101))(chr(0b1100110 + 0o17) + '\x74' + '\146' + chr(1526 - 1481) + chr(0b1 + 0o67)), zAvj51jYP8NV), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\x0e\xbcZa\xd6\xcf'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(1279 - 1178))(chr(0b111111 + 0o66) + chr(0b1110100) + chr(8441 - 8339) + chr(0b101101) + chr(826 - 770))))
else:
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.na(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\x1a\xa0ic\xc1\xd2'), chr(0b11101 + 0o107) + chr(200 - 99) + '\143' + '\x6f' + chr(0b1100100) + chr(6647 - 6546))('\165' + chr(0b1110100) + chr(7613 - 7511) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\x15\xa3`s'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(8945 - 8844))(chr(0b10000 + 0o145) + chr(0b1110100) + chr(0b1010010 + 0o24) + chr(274 - 229) + '\070'))(GKGXFKoBb2qK), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\x15\xbddr'), chr(100) + chr(0b1001011 + 0o32) + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(893 - 776) + chr(0b111000 + 0o74) + '\146' + '\055' + chr(0b11111 + 0o31)))(zAvj51jYP8NV)), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\x0e\xbcZa\xd6\xcf'), chr(1457 - 1357) + chr(3473 - 3372) + '\143' + '\x6f' + chr(6277 - 6177) + '\145')(chr(0b1110010 + 0o3) + chr(0b1110100) + chr(102) + '\055' + chr(56))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.approxQuantile
|
def approxQuantile(self, col, probabilities, relativeError):
"""
Calculates the approximate quantiles of numerical columns of a
DataFrame.
The result of this algorithm has the following deterministic bound:
If the DataFrame has N elements and if we request the quantile at
probability `p` up to error `err`, then the algorithm will return
a sample `x` from the DataFrame so that the *exact* rank of `x` is
close to (p * N). More precisely,
floor((p - err) * N) <= rank(x) <= ceil((p + err) * N).
This method implements a variation of the Greenwald-Khanna
algorithm (with some speed optimizations). The algorithm was first
present in [[https://doi.org/10.1145/375663.375670
Space-efficient Online Computation of Quantile Summaries]]
by Greenwald and Khanna.
Note that null values will be ignored in numerical columns before calculation.
For columns only containing null values, an empty list is returned.
:param col: str, list.
Can be a single column name, or a list of names for multiple columns.
:param probabilities: a list of quantile probabilities
Each number must belong to [0, 1].
For example 0 is the minimum, 0.5 is the median, 1 is the maximum.
:param relativeError: The relative target precision to achieve
(>= 0). If set to zero, the exact quantiles are computed, which
could be very expensive. Note that values greater than 1 are
accepted but give the same result as 1.
:return: the approximate quantiles at the given probabilities. If
the input `col` is a string, the output is a list of floats. If the
input `col` is a list or tuple of strings, the output is also a
list, but each element in it is a list of floats, i.e., the output
is a list of list of floats.
.. versionchanged:: 2.2
Added support for multiple columns.
"""
if not isinstance(col, (basestring, list, tuple)):
raise ValueError("col should be a string, list or tuple, but got %r" % type(col))
isStr = isinstance(col, basestring)
if isinstance(col, tuple):
col = list(col)
elif isStr:
col = [col]
for c in col:
if not isinstance(c, basestring):
raise ValueError("columns should be strings, but got %r" % type(c))
col = _to_list(self._sc, col)
if not isinstance(probabilities, (list, tuple)):
raise ValueError("probabilities should be a list or tuple")
if isinstance(probabilities, tuple):
probabilities = list(probabilities)
for p in probabilities:
if not isinstance(p, (float, int, long)) or p < 0 or p > 1:
raise ValueError("probabilities should be numerical (float, int, long) in [0,1].")
probabilities = _to_list(self._sc, probabilities)
if not isinstance(relativeError, (float, int, long)) or relativeError < 0:
raise ValueError("relativeError should be numerical (float, int, long) >= 0.")
relativeError = float(relativeError)
jaq = self._jdf.stat().approxQuantile(col, probabilities, relativeError)
jaq_list = [list(j) for j in jaq]
return jaq_list[0] if isStr else jaq_list
|
python
|
def approxQuantile(self, col, probabilities, relativeError):
"""
Calculates the approximate quantiles of numerical columns of a
DataFrame.
The result of this algorithm has the following deterministic bound:
If the DataFrame has N elements and if we request the quantile at
probability `p` up to error `err`, then the algorithm will return
a sample `x` from the DataFrame so that the *exact* rank of `x` is
close to (p * N). More precisely,
floor((p - err) * N) <= rank(x) <= ceil((p + err) * N).
This method implements a variation of the Greenwald-Khanna
algorithm (with some speed optimizations). The algorithm was first
present in [[https://doi.org/10.1145/375663.375670
Space-efficient Online Computation of Quantile Summaries]]
by Greenwald and Khanna.
Note that null values will be ignored in numerical columns before calculation.
For columns only containing null values, an empty list is returned.
:param col: str, list.
Can be a single column name, or a list of names for multiple columns.
:param probabilities: a list of quantile probabilities
Each number must belong to [0, 1].
For example 0 is the minimum, 0.5 is the median, 1 is the maximum.
:param relativeError: The relative target precision to achieve
(>= 0). If set to zero, the exact quantiles are computed, which
could be very expensive. Note that values greater than 1 are
accepted but give the same result as 1.
:return: the approximate quantiles at the given probabilities. If
the input `col` is a string, the output is a list of floats. If the
input `col` is a list or tuple of strings, the output is also a
list, but each element in it is a list of floats, i.e., the output
is a list of list of floats.
.. versionchanged:: 2.2
Added support for multiple columns.
"""
if not isinstance(col, (basestring, list, tuple)):
raise ValueError("col should be a string, list or tuple, but got %r" % type(col))
isStr = isinstance(col, basestring)
if isinstance(col, tuple):
col = list(col)
elif isStr:
col = [col]
for c in col:
if not isinstance(c, basestring):
raise ValueError("columns should be strings, but got %r" % type(c))
col = _to_list(self._sc, col)
if not isinstance(probabilities, (list, tuple)):
raise ValueError("probabilities should be a list or tuple")
if isinstance(probabilities, tuple):
probabilities = list(probabilities)
for p in probabilities:
if not isinstance(p, (float, int, long)) or p < 0 or p > 1:
raise ValueError("probabilities should be numerical (float, int, long) in [0,1].")
probabilities = _to_list(self._sc, probabilities)
if not isinstance(relativeError, (float, int, long)) or relativeError < 0:
raise ValueError("relativeError should be numerical (float, int, long) >= 0.")
relativeError = float(relativeError)
jaq = self._jdf.stat().approxQuantile(col, probabilities, relativeError)
jaq_list = [list(j) for j in jaq]
return jaq_list[0] if isStr else jaq_list
|
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] |
Calculates the approximate quantiles of numerical columns of a
DataFrame.
The result of this algorithm has the following deterministic bound:
If the DataFrame has N elements and if we request the quantile at
probability `p` up to error `err`, then the algorithm will return
a sample `x` from the DataFrame so that the *exact* rank of `x` is
close to (p * N). More precisely,
floor((p - err) * N) <= rank(x) <= ceil((p + err) * N).
This method implements a variation of the Greenwald-Khanna
algorithm (with some speed optimizations). The algorithm was first
present in [[https://doi.org/10.1145/375663.375670
Space-efficient Online Computation of Quantile Summaries]]
by Greenwald and Khanna.
Note that null values will be ignored in numerical columns before calculation.
For columns only containing null values, an empty list is returned.
:param col: str, list.
Can be a single column name, or a list of names for multiple columns.
:param probabilities: a list of quantile probabilities
Each number must belong to [0, 1].
For example 0 is the minimum, 0.5 is the median, 1 is the maximum.
:param relativeError: The relative target precision to achieve
(>= 0). If set to zero, the exact quantiles are computed, which
could be very expensive. Note that values greater than 1 are
accepted but give the same result as 1.
:return: the approximate quantiles at the given probabilities. If
the input `col` is a string, the output is a list of floats. If the
input `col` is a list or tuple of strings, the output is also a
list, but each element in it is a list of floats, i.e., the output
is a list of list of floats.
.. versionchanged:: 2.2
Added support for multiple columns.
|
[
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"the",
"approximate",
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"of",
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"of",
"a",
"DataFrame",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1808-L1879
|
train
|
This method calculates the approximate quantiles of the given columns.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(920 - 869) + '\064' + chr(1468 - 1420), 23262 - 23254), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + '\063' + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + '\x31' + chr(52) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b10111 + 0o34) + chr(404 - 350), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b10110 + 0o32) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x30' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(52) + chr(2180 - 2129), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\062' + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101011 + 0o4) + chr(0b100000 + 0o22) + '\x36' + chr(920 - 871), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x34' + chr(0b111 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + '\063' + '\061' + chr(1821 - 1766), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110001) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\063' + '\066' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b110000 + 0o1), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6842 - 6731) + chr(0b110001) + '\062' + chr(0b11000 + 0o37), 0o10), ehT0Px3KOsy9('\x30' + chr(5180 - 5069) + '\061' + '\060' + chr(1138 - 1089), 12188 - 12180), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b110001) + chr(55) + chr(2124 - 2072), ord("\x08")), ehT0Px3KOsy9(chr(1461 - 1413) + chr(1641 - 1530) + chr(558 - 508) + chr(54) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(49), 44669 - 44661), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\063' + chr(0b100000 + 0o25) + '\066', 40913 - 40905), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1100 + 0o143) + chr(405 - 354) + chr(0b1100 + 0o51) + '\060', 0b1000), ehT0Px3KOsy9(chr(1192 - 1144) + chr(0b110 + 0o151) + '\062' + '\066' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b10101 + 0o41) + chr(49), 0b1000), ehT0Px3KOsy9(chr(539 - 491) + chr(10068 - 9957) + '\064' + chr(1961 - 1913), 49760 - 49752), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(1850 - 1802) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101110 + 0o5) + chr(48) + chr(0b100101 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3077 - 2966) + chr(50) + chr(53) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(7690 - 7579) + chr(0b110001) + chr(0b110000) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101000 + 0o7) + '\062' + chr(2392 - 2342) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(1677 - 1626) + '\x32' + chr(0b101110 + 0o10), 3626 - 3618), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1504 - 1453) + '\x30' + chr(362 - 309), 8), ehT0Px3KOsy9(chr(115 - 67) + chr(5442 - 5331) + chr(0b110010) + '\062' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\066' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1783 - 1733) + chr(0b10 + 0o63) + chr(0b101100 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + chr(0b1000 + 0o52) + chr(0b110001) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1085 - 974) + '\x31' + chr(0b110110) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o22) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(3954 - 3843) + chr(0b101110 + 0o5) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1922 - 1872) + chr(0b110110) + chr(0b110010), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100110 + 0o17) + chr(1537 - 1489), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xce'), '\144' + chr(0b1100101) + '\x63' + chr(6311 - 6200) + chr(100) + '\145')(chr(117) + '\x74' + chr(0b1010000 + 0o26) + chr(1523 - 1478) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def w5RTVN9Ri3pa(oVre8I6UXc3b, Qa2uSJqQPT3w, TFFTAqMklnaA, ZMBsoxrC3HEp):
if not PlSM16l2KDPD(Qa2uSJqQPT3w, (YUHmwdgm0K2P, YyaZ4tpXu4lf, KNyTy8rYcwji)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xb5\n~\xb0\xe9\x0c\xec\xdd\x05\xef\xa8\x95\t6a\x0f\xc0k\x87\x86\xd4\x1d\x00\xaa\xac\xdf2\xb5\xb9P\xe5\xe2B\xdd\xe3\x11\x11>\xd0\x95\xaeF9\xac\xf5C\xbc\xc3'), '\x64' + chr(101) + chr(99) + chr(7589 - 7478) + '\x64' + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + '\x2d' + '\x38') % wmQmyeWBmUpv(Qa2uSJqQPT3w))
ompKGjtiE9g9 = PlSM16l2KDPD(Qa2uSJqQPT3w, YUHmwdgm0K2P)
if PlSM16l2KDPD(Qa2uSJqQPT3w, KNyTy8rYcwji):
Qa2uSJqQPT3w = YyaZ4tpXu4lf(Qa2uSJqQPT3w)
elif ompKGjtiE9g9:
Qa2uSJqQPT3w = [Qa2uSJqQPT3w]
for qzn1Ctg9WgNh in Qa2uSJqQPT3w:
if not PlSM16l2KDPD(qzn1Ctg9WgNh, YUHmwdgm0K2P):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xb5\n+\xae\xef\x10\xb9\xc2\t\xa0\xbf\x9cMw#\x19\x94j\x9a\x9a\xda_G\xb5\xe9\x8c$\xe0\xa2\x02\xa2\xf9C\x8d\xaa\x06'), chr(0b11110 + 0o106) + chr(101) + '\143' + '\x6f' + chr(0b10010 + 0o122) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(1089 - 1044) + '\070') % wmQmyeWBmUpv(qzn1Ctg9WgNh))
Qa2uSJqQPT3w = cngGg6kiQpr1(oVre8I6UXc3b._sc, Qa2uSJqQPT3w)
if not PlSM16l2KDPD(TFFTAqMklnaA, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xa8\t<\xa2\xe3\n\xf5\xd8\x15\xa6\xaf\x83\t$)\x13\xc1u\x8a\xc8\xd1T\x00\xa7\xe5\xc0/\xe6\xa2\x02\xaa\xe4\x17\xd9\xfa\x04Q{'), chr(0b111101 + 0o47) + chr(101) + '\143' + '\157' + chr(100) + chr(0b1100101))('\165' + chr(8645 - 8529) + chr(4500 - 4398) + chr(45) + chr(56)))
if PlSM16l2KDPD(TFFTAqMklnaA, KNyTy8rYcwji):
TFFTAqMklnaA = YyaZ4tpXu4lf(TFFTAqMklnaA)
for UyakMW2IMFEj in TFFTAqMklnaA:
if not PlSM16l2KDPD(UyakMW2IMFEj, (kkSX4ccExqw4, ehT0Px3KOsy9, OMGcKau557qa)) or UyakMW2IMFEj < ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000), ord("\x08")) or UyakMW2IMFEj > ehT0Px3KOsy9(chr(1699 - 1651) + chr(5992 - 5881) + chr(49), 0b1000):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\x90\xa8\t<\xa2\xe3\n\xf5\xd8\x15\xa6\xaf\x83\t$)\x13\xc1u\x8a\xc8\xd1T\x00\xa8\xb0\xc1#\xe7\xbfA\xa4\xfa\x17\x85\xe9\x18R\x7f\xc6\xcc\xfa\x0f0\xb7\xadC\xf5\xde\x0f\xa8\xe3\xd0@9a'\x845\xdf\xb5\x9d"), chr(100) + chr(0b10010 + 0o123) + chr(0b101100 + 0o67) + '\x6f' + chr(100) + chr(101))(chr(12452 - 12335) + '\164' + chr(3306 - 3204) + chr(45) + chr(0b101101 + 0o13)))
TFFTAqMklnaA = cngGg6kiQpr1(oVre8I6UXc3b._sc, TFFTAqMklnaA)
if not PlSM16l2KDPD(ZMBsoxrC3HEp, (kkSX4ccExqw4, ehT0Px3KOsy9, OMGcKau557qa)) or ZMBsoxrC3HEp < ehT0Px3KOsy9('\060' + chr(2656 - 2545) + '\x30', 8):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xbf\n?\xb7\xe8\x15\xfc\xf4\x13\xbd\xa5\x82\t$)\x13\xc1u\x8a\xc8\xd1T\x00\xa8\xb0\xc1#\xe7\xbfA\xa4\xfa\x17\x85\xe9\x18R\x7f\xc6\xcc\xfa\x0f0\xb7\xadC\xf5\xde\x0f\xa8\xe3\xd0\x17jaL\x9a'), chr(0b1100100) + chr(0b11100 + 0o111) + '\x63' + chr(0b110 + 0o151) + '\x64' + '\145')(chr(117) + chr(0b111100 + 0o70) + chr(102) + '\055' + chr(468 - 412)))
ZMBsoxrC3HEp = kkSX4ccExqw4(ZMBsoxrC3HEp)
RkirUiDwiNxc = oVre8I6UXc3b._jdf.stat().approxQuantile(Qa2uSJqQPT3w, TFFTAqMklnaA, ZMBsoxrC3HEp)
FDbrz7BtON_h = [YyaZ4tpXu4lf(tlORBuYsiw3X) for tlORBuYsiw3X in RkirUiDwiNxc]
return FDbrz7BtON_h[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101011 + 0o5), 8)] if ompKGjtiE9g9 else FDbrz7BtON_h
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.corr
|
def corr(self, col1, col2, method=None):
"""
Calculates the correlation of two columns of a DataFrame as a double value.
Currently only supports the Pearson Correlation Coefficient.
:func:`DataFrame.corr` and :func:`DataFrameStatFunctions.corr` are aliases of each other.
:param col1: The name of the first column
:param col2: The name of the second column
:param method: The correlation method. Currently only supports "pearson"
"""
if not isinstance(col1, basestring):
raise ValueError("col1 should be a string.")
if not isinstance(col2, basestring):
raise ValueError("col2 should be a string.")
if not method:
method = "pearson"
if not method == "pearson":
raise ValueError("Currently only the calculation of the Pearson Correlation " +
"coefficient is supported.")
return self._jdf.stat().corr(col1, col2, method)
|
python
|
def corr(self, col1, col2, method=None):
"""
Calculates the correlation of two columns of a DataFrame as a double value.
Currently only supports the Pearson Correlation Coefficient.
:func:`DataFrame.corr` and :func:`DataFrameStatFunctions.corr` are aliases of each other.
:param col1: The name of the first column
:param col2: The name of the second column
:param method: The correlation method. Currently only supports "pearson"
"""
if not isinstance(col1, basestring):
raise ValueError("col1 should be a string.")
if not isinstance(col2, basestring):
raise ValueError("col2 should be a string.")
if not method:
method = "pearson"
if not method == "pearson":
raise ValueError("Currently only the calculation of the Pearson Correlation " +
"coefficient is supported.")
return self._jdf.stat().corr(col1, col2, method)
|
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")",
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"corr",
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] |
Calculates the correlation of two columns of a DataFrame as a double value.
Currently only supports the Pearson Correlation Coefficient.
:func:`DataFrame.corr` and :func:`DataFrameStatFunctions.corr` are aliases of each other.
:param col1: The name of the first column
:param col2: The name of the second column
:param method: The correlation method. Currently only supports "pearson"
|
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"the",
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"as",
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1882-L1901
|
train
|
Calculates the correlation coefficient of two columns of a DataFrame.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(54) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b100100 + 0o14), 13431 - 13423), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(8620 - 8509) + '\066' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\x32' + '\x31' + chr(0b1110 + 0o44), 28523 - 28515), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\061' + '\063', 16892 - 16884), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110101) + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(878 - 830) + '\x6f' + chr(0b110010) + '\061' + chr(2363 - 2310), 41036 - 41028), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\063' + '\063' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + '\x37' + chr(212 - 158), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111111 + 0o60) + chr(1574 - 1522) + chr(166 - 117), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2268 - 2218) + chr(0b101110 + 0o10) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + '\x33' + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(50) + chr(0b11101 + 0o25), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001 + 0o1) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(532 - 481) + chr(725 - 677) + chr(455 - 403), 0b1000), ehT0Px3KOsy9(chr(1694 - 1646) + chr(111) + chr(0b101011 + 0o7) + '\067' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + '\062' + '\067' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(0b110001) + chr(0b110110) + chr(0b11100 + 0o31), 35077 - 35069), ehT0Px3KOsy9('\x30' + chr(10942 - 10831) + chr(978 - 927) + chr(0b110100) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1005 - 955) + chr(1975 - 1921), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(53) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(2109 - 2061) + chr(111) + '\065' + chr(0b110101), 25552 - 25544), ehT0Px3KOsy9('\x30' + chr(1148 - 1037) + '\x37' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11111 + 0o22) + chr(0b10001 + 0o37) + chr(1633 - 1584), 1435 - 1427), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(1658 - 1603) + chr(0b110 + 0o54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(8110 - 7999) + chr(51) + '\066' + chr(967 - 919), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100 + 0o55) + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1168 - 1118) + chr(48) + '\x34', 23508 - 23500), ehT0Px3KOsy9(chr(48) + chr(2907 - 2796) + chr(49) + chr(0b110101) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1111 + 0o140) + '\063' + chr(0b100110 + 0o21) + chr(0b101011 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o26) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(3026 - 2915) + '\061' + chr(0b11111 + 0o22), 63531 - 63523), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1001 + 0o52) + chr(0b110111) + chr(2225 - 2176), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o22) + chr(0b110011) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(50) + chr(0b1010 + 0o51) + chr(0b100001 + 0o22), 0o10), ehT0Px3KOsy9(chr(2285 - 2237) + '\x6f' + '\x31' + chr(0b110010) + chr(0b110010), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f'), '\144' + chr(0b1100010 + 0o3) + chr(0b1100011) + '\157' + chr(0b1010111 + 0o15) + chr(101))('\165' + '\x74' + chr(317 - 215) + '\055' + chr(3120 - 3064)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def USlVM86BmaRq(oVre8I6UXc3b, hUdg8XUD4MzQ, WLqLyrBe1Fmi, CVRCXTcnOnH6=None):
if not PlSM16l2KDPD(hUdg8XUD4MzQ, YUHmwdgm0K2P):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'Rg_\x0c\xaa\xf8\x00\xe2\xa8RE\x95`\xbars\x17\xb7\xce\xcb\x1c\x8dq\x85'), '\144' + chr(4720 - 4619) + chr(2456 - 2357) + chr(111) + chr(0b1100001 + 0o3) + '\145')(chr(0b111010 + 0o73) + '\x74' + '\x66' + chr(1266 - 1221) + chr(0b10000 + 0o50)))
if not PlSM16l2KDPD(WLqLyrBe1Fmi, YUHmwdgm0K2P):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'Rg_\x0f\xaa\xf8\x00\xe2\xa8RE\x95`\xbars\x17\xb7\xce\xcb\x1c\x8dq\x85'), chr(428 - 328) + chr(0b1 + 0o144) + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'))
if not CVRCXTcnOnH6:
CVRCXTcnOnH6 = xafqLlk3kkUe(SXOLrMavuUCe(b'AmRO\xf9\xe4\x06'), chr(0b1100100) + chr(1177 - 1076) + chr(99) + '\x6f' + chr(0b1011110 + 0o6) + chr(8736 - 8635))(chr(11240 - 11123) + chr(11995 - 11879) + '\x66' + chr(0b101101) + chr(0b1 + 0o67))
if not CVRCXTcnOnH6 == xafqLlk3kkUe(SXOLrMavuUCe(b'AmRO\xf9\xe4\x06'), '\144' + chr(5119 - 5018) + '\x63' + chr(0b1000110 + 0o51) + chr(0b100010 + 0o102) + chr(0b10110 + 0o117))(chr(117) + chr(0b1110011 + 0o1) + chr(3426 - 3324) + chr(0b1001 + 0o44) + '\x38'):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'r}AO\xef\xe5\x1c\xe1\xa4\x1eN\xdbn\xa6rf_\xa1\x9a\xda\x14\x8fu\xdeAX5\xd3\x9f5\xa4\x02\x993}A\x9c\xf8\xcb7Pz@R\xe4\xab+\xe2\xafLD\xd9c\xab;}Y\xe4'), chr(0b101100 + 0o70) + chr(0b1011111 + 0o6) + chr(99) + chr(111) + chr(100) + chr(101))('\165' + '\164' + '\x66' + '\x2d' + chr(0b111000)) + xafqLlk3kkUe(SXOLrMavuUCe(b'RgV[\xec\xe2\x0b\xe4\xb8PU\x95k\xacraB\xb4\xca\xd6\x07\x97s\xcf\x03'), '\144' + '\145' + '\x63' + '\x6f' + '\x64' + chr(101))(chr(0b1 + 0o164) + chr(0b1110100) + chr(0b1000110 + 0o40) + chr(1083 - 1038) + chr(56)))
return xafqLlk3kkUe(oVre8I6UXc3b._jdf.stat(), xafqLlk3kkUe(SXOLrMavuUCe(b'RgAO'), chr(0b10100 + 0o120) + '\145' + chr(99) + chr(111) + '\144' + chr(0b100100 + 0o101))(chr(3535 - 3418) + chr(4403 - 4287) + '\x66' + chr(152 - 107) + '\x38'))(hUdg8XUD4MzQ, WLqLyrBe1Fmi, CVRCXTcnOnH6)
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.cov
|
def cov(self, col1, col2):
"""
Calculate the sample covariance for the given columns, specified by their names, as a
double value. :func:`DataFrame.cov` and :func:`DataFrameStatFunctions.cov` are aliases.
:param col1: The name of the first column
:param col2: The name of the second column
"""
if not isinstance(col1, basestring):
raise ValueError("col1 should be a string.")
if not isinstance(col2, basestring):
raise ValueError("col2 should be a string.")
return self._jdf.stat().cov(col1, col2)
|
python
|
def cov(self, col1, col2):
"""
Calculate the sample covariance for the given columns, specified by their names, as a
double value. :func:`DataFrame.cov` and :func:`DataFrameStatFunctions.cov` are aliases.
:param col1: The name of the first column
:param col2: The name of the second column
"""
if not isinstance(col1, basestring):
raise ValueError("col1 should be a string.")
if not isinstance(col2, basestring):
raise ValueError("col2 should be a string.")
return self._jdf.stat().cov(col1, col2)
|
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] |
Calculate the sample covariance for the given columns, specified by their names, as a
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:param col1: The name of the first column
:param col2: The name of the second column
|
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618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1904-L1916
|
train
|
Calculate the sample covariance for the given columns specified by their names as a
double value.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\063' + chr(858 - 804) + '\063', 46786 - 46778), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110011 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(238 - 190) + chr(0b1101111) + '\x31' + chr(54) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(701 - 590) + chr(50) + chr(0b1011 + 0o53) + chr(51), 58065 - 58057), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110011 + 0o1) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + '\063' + chr(488 - 435) + chr(1577 - 1526), 15630 - 15622), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(54) + chr(0b110100), 19274 - 19266), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(952 - 903) + chr(1436 - 1388), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8864 - 8753) + '\x32' + chr(550 - 501) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9191 - 9080) + chr(0b110001) + chr(53) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(55) + chr(54), 0o10), ehT0Px3KOsy9(chr(273 - 225) + chr(111) + chr(50) + chr(547 - 495) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1738 - 1690) + chr(0b11 + 0o154) + '\061' + chr(51) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(4683 - 4572) + '\x31' + '\064' + '\060', 32229 - 32221), ehT0Px3KOsy9(chr(0b110000) + chr(5997 - 5886) + '\x31' + chr(0b110011) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110111) + chr(0b11011 + 0o27), 58850 - 58842), ehT0Px3KOsy9(chr(0b110000) + chr(3782 - 3671) + chr(941 - 890) + chr(0b11 + 0o60) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10811 - 10700) + chr(0b10100 + 0o42) + chr(49), 63735 - 63727), ehT0Px3KOsy9(chr(1956 - 1908) + chr(0b11001 + 0o126) + chr(50) + '\066' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + chr(51) + chr(0b110111) + chr(1549 - 1500), 29770 - 29762), ehT0Px3KOsy9('\060' + chr(10131 - 10020) + chr(0b110001) + chr(1875 - 1824), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2321 - 2271) + chr(51) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(2331 - 2220) + chr(50) + '\x30' + chr(0b100001 + 0o20), 0b1000), ehT0Px3KOsy9(chr(2120 - 2072) + '\x6f' + chr(1969 - 1920) + '\x31' + chr(0b100001 + 0o23), 0o10), ehT0Px3KOsy9(chr(48) + chr(10878 - 10767) + chr(0b110011) + '\063' + chr(0b100011 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + chr(575 - 526) + '\061' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(931 - 878), 0o10), ehT0Px3KOsy9('\x30' + chr(5660 - 5549) + chr(50) + chr(0b110110) + chr(0b10001 + 0o37), 59820 - 59812), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(1375 - 1325) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2238 - 2190) + chr(111) + chr(49) + chr(50) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9600 - 9489) + chr(0b100 + 0o57) + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10110 + 0o33) + chr(2248 - 2194) + chr(114 - 66), 34505 - 34497), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x32' + chr(502 - 447), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2268 - 2216) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\x32' + chr(1988 - 1933) + chr(203 - 148), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(596 - 545) + chr(49) + chr(0b110101), 1199 - 1191), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o14) + chr(1421 - 1372) + '\062', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1331 - 1283) + chr(0b10001 + 0o136) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd'), '\144' + '\145' + '\143' + '\x6f' + '\x64' + chr(4179 - 4078))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QD1DMFLpoSld(oVre8I6UXc3b, hUdg8XUD4MzQ, WLqLyrBe1Fmi):
if not PlSM16l2KDPD(hUdg8XUD4MzQ, YUHmwdgm0K2P):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90y\x1b\x82\x07\x98\xdcg\xfb\x01\x1a\x84:\x05y\x1b\xfaB\xc2\x8bb\xf1.\xaf'), '\144' + chr(0b1100101) + chr(99) + chr(0b11000 + 0o127) + '\x64' + chr(7543 - 7442))(chr(0b11110 + 0o127) + '\164' + chr(229 - 127) + chr(0b101101) + chr(56)))
if not PlSM16l2KDPD(WLqLyrBe1Fmi, YUHmwdgm0K2P):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90y\x1b\x81\x07\x98\xdcg\xfb\x01\x1a\x84:\x05y\x1b\xfaB\xc2\x8bb\xf1.\xaf'), '\x64' + chr(0b11001 + 0o114) + '\143' + chr(0b100110 + 0o111) + chr(0b100000 + 0o104) + '\x65')('\x75' + chr(116) + chr(2745 - 2643) + '\x2d' + '\x38'))
return xafqLlk3kkUe(oVre8I6UXc3b._jdf.stat(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x90y\x01'), chr(100) + chr(0b1100101) + chr(1592 - 1493) + '\x6f' + chr(5466 - 5366) + '\145')(chr(0b1010000 + 0o45) + chr(0b1100000 + 0o24) + chr(0b1100110) + chr(0b1011 + 0o42) + chr(683 - 627)))(hUdg8XUD4MzQ, WLqLyrBe1Fmi)
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.crosstab
|
def crosstab(self, col1, col2):
"""
Computes a pair-wise frequency table of the given columns. Also known as a contingency
table. The number of distinct values for each column should be less than 1e4. At most 1e6
non-zero pair frequencies will be returned.
The first column of each row will be the distinct values of `col1` and the column names
will be the distinct values of `col2`. The name of the first column will be `$col1_$col2`.
Pairs that have no occurrences will have zero as their counts.
:func:`DataFrame.crosstab` and :func:`DataFrameStatFunctions.crosstab` are aliases.
:param col1: The name of the first column. Distinct items will make the first item of
each row.
:param col2: The name of the second column. Distinct items will make the column names
of the DataFrame.
"""
if not isinstance(col1, basestring):
raise ValueError("col1 should be a string.")
if not isinstance(col2, basestring):
raise ValueError("col2 should be a string.")
return DataFrame(self._jdf.stat().crosstab(col1, col2), self.sql_ctx)
|
python
|
def crosstab(self, col1, col2):
"""
Computes a pair-wise frequency table of the given columns. Also known as a contingency
table. The number of distinct values for each column should be less than 1e4. At most 1e6
non-zero pair frequencies will be returned.
The first column of each row will be the distinct values of `col1` and the column names
will be the distinct values of `col2`. The name of the first column will be `$col1_$col2`.
Pairs that have no occurrences will have zero as their counts.
:func:`DataFrame.crosstab` and :func:`DataFrameStatFunctions.crosstab` are aliases.
:param col1: The name of the first column. Distinct items will make the first item of
each row.
:param col2: The name of the second column. Distinct items will make the column names
of the DataFrame.
"""
if not isinstance(col1, basestring):
raise ValueError("col1 should be a string.")
if not isinstance(col2, basestring):
raise ValueError("col2 should be a string.")
return DataFrame(self._jdf.stat().crosstab(col1, col2), self.sql_ctx)
|
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] |
Computes a pair-wise frequency table of the given columns. Also known as a contingency
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non-zero pair frequencies will be returned.
The first column of each row will be the distinct values of `col1` and the column names
will be the distinct values of `col2`. The name of the first column will be `$col1_$col2`.
Pairs that have no occurrences will have zero as their counts.
:func:`DataFrame.crosstab` and :func:`DataFrameStatFunctions.crosstab` are aliases.
:param col1: The name of the first column. Distinct items will make the first item of
each row.
:param col2: The name of the second column. Distinct items will make the column names
of the DataFrame.
|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1919-L1938
|
train
|
Computes a pair - wise frequency table of the given columns.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(7861 - 7750) + chr(51) + '\067' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1687 - 1639) + chr(111) + chr(0b110111) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b11001 + 0o27), 31467 - 31459), ehT0Px3KOsy9(chr(1675 - 1627) + chr(0b1101111) + chr(0b11001 + 0o32) + chr(53) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + '\061' + chr(403 - 349) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b100010 + 0o20) + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\060' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1842 - 1790) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(1479 - 1426) + chr(912 - 864), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(1876 - 1826) + '\x30' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110010) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + '\x33' + chr(53) + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(1723 - 1675) + chr(0b1101111) + chr(0b101011 + 0o7) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1103 - 1053) + chr(0b100 + 0o55) + chr(0b101100 + 0o12), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o42) + chr(0b110100) + chr(2592 - 2540), 36637 - 36629), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(317 - 268) + chr(501 - 451) + chr(0b101001 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b11000 + 0o127) + chr(279 - 228) + chr(767 - 717) + '\065', 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110010) + '\x33' + chr(0b11111 + 0o30), 31227 - 31219), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + '\x37', 0o10), ehT0Px3KOsy9(chr(551 - 503) + chr(0b1101111) + chr(0b1010 + 0o47) + chr(0b101110 + 0o6) + '\x32', 28311 - 28303), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + '\x31' + chr(54) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\062' + chr(881 - 833) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(54) + chr(55), 0o10), ehT0Px3KOsy9(chr(177 - 129) + '\157' + chr(0b1001 + 0o51) + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b110000 + 0o4) + '\x30', 52279 - 52271), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\063' + chr(0b110110) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(2022 - 1970) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(52) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x35' + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\067' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(52) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(799 - 751) + chr(0b1101111) + chr(75 - 24) + '\x31' + chr(53), 0b1000), ehT0Px3KOsy9(chr(1581 - 1533) + chr(4165 - 4054) + chr(0b110010) + '\066' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\062' + '\x37', 8), ehT0Px3KOsy9(chr(252 - 204) + chr(111) + chr(0b10000 + 0o41) + '\x31' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b11011 + 0o26) + '\x34', 13962 - 13954), ehT0Px3KOsy9('\060' + chr(2829 - 2718) + chr(0b110001) + chr(0b110000) + chr(496 - 446), 1301 - 1293), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(2383 - 2272) + chr(0b1011 + 0o50) + chr(0b110001), 4413 - 4405), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b1001 + 0o50) + chr(1579 - 1529) + chr(0b11000 + 0o35), 0o10), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(0b110011) + chr(0b11000 + 0o35) + chr(1068 - 1016), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5'), chr(0b101010 + 0o72) + chr(0b1100101) + chr(4592 - 4493) + '\x6f' + chr(100) + chr(101))('\165' + chr(116) + chr(7597 - 7495) + chr(45) + chr(0b1010 + 0o56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iNymlyvzsq4n(oVre8I6UXc3b, hUdg8XUD4MzQ, WLqLyrBe1Fmi):
if not PlSM16l2KDPD(hUdg8XUD4MzQ, YUHmwdgm0K2P):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x98Rt\xdcR\xfd\xabL\x9d\xee\xb1\xcaw\xeb\x846\xf5\xecC\x10\x1d\xec\x10\x8c'), '\x64' + chr(0b1100101) + '\143' + chr(0b1010010 + 0o35) + chr(0b1100100) + chr(0b1100101))('\165' + chr(5150 - 5034) + chr(0b1100110) + '\x2d' + chr(0b1000 + 0o60)))
if not PlSM16l2KDPD(WLqLyrBe1Fmi, YUHmwdgm0K2P):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x98Rt\xdfR\xfd\xabL\x9d\xee\xb1\xcaw\xeb\x846\xf5\xecC\x10\x1d\xec\x10\x8c'), chr(100) + '\145' + chr(99) + chr(0b1101111) + '\144' + '\x65')('\x75' + '\x74' + chr(0b1000100 + 0o42) + '\x2d' + chr(0b100010 + 0o26)))
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.stat(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x98Ow\x9e\x01\xfa\xa2A'), chr(7868 - 7768) + '\x65' + chr(9351 - 9252) + chr(0b1001 + 0o146) + chr(0b111000 + 0o54) + chr(0b1100101))(chr(0b100001 + 0o124) + '\x74' + '\146' + chr(0b100011 + 0o12) + chr(0b100110 + 0o22)))(hUdg8XUD4MzQ, WLqLyrBe1Fmi), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88Lt\xb2\x11\xfa\xbb'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(940 - 840) + chr(101))('\165' + chr(0b110100 + 0o100) + chr(102) + chr(0b101101) + chr(56))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.freqItems
|
def freqItems(self, cols, support=None):
"""
Finding frequent items for columns, possibly with false positives. Using the
frequent element count algorithm described in
"https://doi.org/10.1145/762471.762473, proposed by Karp, Schenker, and Papadimitriou".
:func:`DataFrame.freqItems` and :func:`DataFrameStatFunctions.freqItems` are aliases.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
:param cols: Names of the columns to calculate frequent items for as a list or tuple of
strings.
:param support: The frequency with which to consider an item 'frequent'. Default is 1%.
The support must be greater than 1e-4.
"""
if isinstance(cols, tuple):
cols = list(cols)
if not isinstance(cols, list):
raise ValueError("cols must be a list or tuple of column names as strings.")
if not support:
support = 0.01
return DataFrame(self._jdf.stat().freqItems(_to_seq(self._sc, cols), support), self.sql_ctx)
|
python
|
def freqItems(self, cols, support=None):
"""
Finding frequent items for columns, possibly with false positives. Using the
frequent element count algorithm described in
"https://doi.org/10.1145/762471.762473, proposed by Karp, Schenker, and Papadimitriou".
:func:`DataFrame.freqItems` and :func:`DataFrameStatFunctions.freqItems` are aliases.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
:param cols: Names of the columns to calculate frequent items for as a list or tuple of
strings.
:param support: The frequency with which to consider an item 'frequent'. Default is 1%.
The support must be greater than 1e-4.
"""
if isinstance(cols, tuple):
cols = list(cols)
if not isinstance(cols, list):
raise ValueError("cols must be a list or tuple of column names as strings.")
if not support:
support = 0.01
return DataFrame(self._jdf.stat().freqItems(_to_seq(self._sc, cols), support), self.sql_ctx)
|
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Finding frequent items for columns, possibly with false positives. Using the
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:func:`DataFrame.freqItems` and :func:`DataFrameStatFunctions.freqItems` are aliases.
.. note:: This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the resulting DataFrame.
:param cols: Names of the columns to calculate frequent items for as a list or tuple of
strings.
:param support: The frequency with which to consider an item 'frequent'. Default is 1%.
The support must be greater than 1e-4.
|
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618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1941-L1962
|
train
|
Returns a new DataFrame with the items that have frequent elements for the given columns.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\066' + chr(795 - 747), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11654 - 11543) + chr(633 - 584) + '\060' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + '\x36' + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1567 - 1513) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(12096 - 11985) + chr(49) + chr(0b101010 + 0o13) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(55) + chr(50), 0o10), ehT0Px3KOsy9(chr(1075 - 1027) + '\x6f' + chr(49) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001 + 0o1) + '\063' + chr(49), 0o10), ehT0Px3KOsy9(chr(2233 - 2185) + '\x6f' + chr(0b10110 + 0o35) + chr(0b110010) + chr(0b110110), 55416 - 55408), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\063' + chr(49) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110011) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x37' + chr(398 - 349), 0o10), ehT0Px3KOsy9('\060' + chr(9025 - 8914) + chr(51) + chr(0b10111 + 0o34) + '\062', 0b1000), ehT0Px3KOsy9(chr(1652 - 1604) + chr(0b11110 + 0o121) + chr(49) + chr(0b10111 + 0o34) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2370 - 2321) + chr(0b110000) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1751 - 1702) + chr(52) + chr(0b100100 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + chr(11475 - 11364) + chr(52) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b101110 + 0o4) + '\x37' + chr(1129 - 1075), 6324 - 6316), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + chr(1799 - 1749) + '\x33' + chr(0b10 + 0o56), 8), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + '\061' + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(0b10 + 0o61) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(1373 - 1322) + chr(54), 61981 - 61973), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b101110 + 0o10) + '\067', 5758 - 5750), ehT0Px3KOsy9(chr(2149 - 2101) + '\x6f' + '\063' + chr(51) + '\067', 38512 - 38504), ehT0Px3KOsy9(chr(961 - 913) + chr(0b1101111) + '\061' + '\064' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + '\x33' + '\060' + chr(1886 - 1834), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + '\066' + chr(0b11000 + 0o30), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(48) + chr(1764 - 1710), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(890 - 840) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b100 + 0o61) + chr(0b11011 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(537 - 487) + chr(55) + chr(179 - 126), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b10111 + 0o36), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110110) + chr(49), 8), ehT0Px3KOsy9(chr(1817 - 1769) + '\157' + chr(50) + chr(0b110001 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110001) + chr(0b11 + 0o56) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10 + 0o61) + chr(975 - 925) + chr(0b10011 + 0o43), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010 + 0o0) + chr(865 - 810) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1474 - 1426) + '\x6f' + chr(0b110101) + chr(0b110011), 16836 - 16828), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(0b100000 + 0o23) + '\x37' + chr(2684 - 2631), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'^'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(456 - 355))('\165' + '\164' + chr(0b1100110) + chr(0b101010 + 0o3) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def TdwNIMaVagcF(oVre8I6UXc3b, AIgvIWQd9onz, JvevNZlvaQJ9=None):
if PlSM16l2KDPD(AIgvIWQd9onz, KNyTy8rYcwji):
AIgvIWQd9onz = YyaZ4tpXu4lf(AIgvIWQd9onz)
if not PlSM16l2KDPD(AIgvIWQd9onz, YyaZ4tpXu4lf):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x13(Yr\x11\x07\xcf~\xed\xf6\xa9\xfd\x19\xbb{.\x0bR\xca\xb82\xac~\xc3\xaa\x16\xa8Uf|\x0e\x9dn^}=\xbb\xd5\x0b\x93\x11*Pr\x11\x0b\xc9-\xea\xa2\xb9\xf1W\xbd(l'), '\144' + chr(101) + '\x63' + '\x6f' + '\144' + chr(9335 - 9234))(chr(0b111010 + 0o73) + chr(0b1110100) + chr(7308 - 7206) + chr(1888 - 1843) + '\x38'))
if not JvevNZlvaQJ9:
JvevNZlvaQJ9 = 0.01
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf.stat(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x165Ppx\x1e\xdf`\xea'), '\x64' + '\145' + '\x63' + chr(0b1011111 + 0o20) + chr(0b1100100) + chr(0b1001101 + 0o30))(chr(4282 - 4165) + chr(0b1110100) + '\x66' + '\x2d' + chr(56)))(Bk0tYkgywaqG(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'/4V'), '\144' + '\x65' + chr(99) + chr(0b100110 + 0o111) + '\144' + chr(0b1100101))(chr(117) + chr(0b1001101 + 0o47) + chr(102) + chr(0b101101) + chr(2311 - 2255))), AIgvIWQd9onz), JvevNZlvaQJ9), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x036Y^R\x1e\xc2'), chr(0b100001 + 0o103) + '\x65' + chr(2012 - 1913) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + chr(9231 - 9129) + chr(1693 - 1648) + chr(0b111000))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.withColumn
|
def withColumn(self, colName, col):
"""
Returns a new :class:`DataFrame` by adding a column or replacing the
existing column that has the same name.
The column expression must be an expression over this DataFrame; attempting to add
a column from some other dataframe will raise an error.
:param colName: string, name of the new column.
:param col: a :class:`Column` expression for the new column.
.. note:: This method introduces a projection internally. Therefore, calling it multiple
times, for instance, via loops in order to add multiple columns can generate big
plans which can cause performance issues and even `StackOverflowException`.
To avoid this, use :func:`select` with the multiple columns at once.
>>> df.withColumn('age2', df.age + 2).collect()
[Row(age=2, name=u'Alice', age2=4), Row(age=5, name=u'Bob', age2=7)]
"""
assert isinstance(col, Column), "col should be Column"
return DataFrame(self._jdf.withColumn(colName, col._jc), self.sql_ctx)
|
python
|
def withColumn(self, colName, col):
"""
Returns a new :class:`DataFrame` by adding a column or replacing the
existing column that has the same name.
The column expression must be an expression over this DataFrame; attempting to add
a column from some other dataframe will raise an error.
:param colName: string, name of the new column.
:param col: a :class:`Column` expression for the new column.
.. note:: This method introduces a projection internally. Therefore, calling it multiple
times, for instance, via loops in order to add multiple columns can generate big
plans which can cause performance issues and even `StackOverflowException`.
To avoid this, use :func:`select` with the multiple columns at once.
>>> df.withColumn('age2', df.age + 2).collect()
[Row(age=2, name=u'Alice', age2=4), Row(age=5, name=u'Bob', age2=7)]
"""
assert isinstance(col, Column), "col should be Column"
return DataFrame(self._jdf.withColumn(colName, col._jc), self.sql_ctx)
|
[
"def",
"withColumn",
"(",
"self",
",",
"colName",
",",
"col",
")",
":",
"assert",
"isinstance",
"(",
"col",
",",
"Column",
")",
",",
"\"col should be Column\"",
"return",
"DataFrame",
"(",
"self",
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"_jdf",
".",
"withColumn",
"(",
"colName",
",",
"col",
".",
"_jc",
")",
",",
"self",
".",
"sql_ctx",
")"
] |
Returns a new :class:`DataFrame` by adding a column or replacing the
existing column that has the same name.
The column expression must be an expression over this DataFrame; attempting to add
a column from some other dataframe will raise an error.
:param colName: string, name of the new column.
:param col: a :class:`Column` expression for the new column.
.. note:: This method introduces a projection internally. Therefore, calling it multiple
times, for instance, via loops in order to add multiple columns can generate big
plans which can cause performance issues and even `StackOverflowException`.
To avoid this, use :func:`select` with the multiple columns at once.
>>> df.withColumn('age2', df.age + 2).collect()
[Row(age=2, name=u'Alice', age2=4), Row(age=5, name=u'Bob', age2=7)]
|
[
"Returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"by",
"adding",
"a",
"column",
"or",
"replacing",
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"existing",
"column",
"that",
"has",
"the",
"same",
"name",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1966-L1987
|
train
|
Returns a new DataFrame by adding a column or replacing the existing column with the same name.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(277 - 229) + '\157' + chr(0b110000 + 0o1) + chr(0b110100) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(6352 - 6241) + chr(0b100001 + 0o22) + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(3194 - 3083) + chr(49) + chr(0b110 + 0o54) + chr(0b100110 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b110111) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b100010 + 0o16) + chr(0b10011 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o35) + chr(0b110010) + chr(512 - 457), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x31' + chr(2292 - 2240), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(49) + '\060' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12116 - 12005) + chr(0b10010 + 0o41) + chr(0b100010 + 0o23) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o13) + chr(1511 - 1462) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(293 - 244) + '\060' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(0b1110 + 0o43) + '\061' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(128 - 77) + chr(2636 - 2584) + chr(53), 0o10), ehT0Px3KOsy9(chr(1073 - 1025) + chr(0b1001110 + 0o41) + chr(1396 - 1347) + '\060' + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1677 - 1624), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b100000 + 0o21) + chr(0b100 + 0o61) + chr(1533 - 1482), 0b1000), ehT0Px3KOsy9(chr(1689 - 1641) + chr(1974 - 1863) + chr(0b110011) + '\x33' + chr(905 - 850), 10123 - 10115), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(51) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1403 - 1355) + '\x6f' + chr(0b10110 + 0o34) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b110001 + 0o1) + chr(0b1111 + 0o50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b11111 + 0o22) + '\062' + '\x34', 25492 - 25484), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2392 - 2338) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b0 + 0o62) + chr(0b101010 + 0o14) + chr(2105 - 2055), 9027 - 9019), ehT0Px3KOsy9('\060' + chr(8658 - 8547) + chr(0b1101 + 0o46) + chr(1046 - 992) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(51) + '\062', 9995 - 9987), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(1733 - 1685), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + '\x31' + chr(50) + chr(53), 44709 - 44701), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1939 - 1889) + chr(0b110100) + chr(0b100110 + 0o15), 62454 - 62446), ehT0Px3KOsy9('\060' + chr(111) + chr(2041 - 1990), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + chr(1679 - 1627), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x30' + chr(1623 - 1570), 55782 - 55774), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(2236 - 2187) + chr(165 - 111), 27236 - 27228), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + '\x31' + '\063' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6176 - 6065) + '\065' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(929 - 879) + '\063' + chr(239 - 187), 59119 - 59111), ehT0Px3KOsy9(chr(168 - 120) + chr(111) + '\061' + chr(2278 - 2228) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x33' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(104 - 55) + chr(0b110011) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b100 + 0o56) + chr(402 - 349), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(377 - 328) + chr(0b11100 + 0o27) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2302 - 2254) + chr(2578 - 2467) + chr(0b10 + 0o63) + chr(0b11111 + 0o21), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'M'), chr(100) + '\145' + chr(4780 - 4681) + chr(0b1101111) + chr(0b1011110 + 0o6) + chr(0b100010 + 0o103))(chr(117) + '\164' + chr(0b1101 + 0o131) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def v7ALSGQcEL5z(oVre8I6UXc3b, t_Oy0SIzFD9V, Qa2uSJqQPT3w):
assert PlSM16l2KDPD(Qa2uSJqQPT3w, fPAxuGjPVbis), xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\xa3<\x18\xb5?#6\x81\xee`+\x80`F\x04\xb3\xec|y'), chr(0b1011111 + 0o5) + chr(1999 - 1898) + chr(0b1 + 0o142) + chr(111) + chr(0b1000 + 0o134) + chr(1241 - 1140))(chr(946 - 829) + chr(116) + '\x66' + '\055' + '\x38')
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xa5$P\x858 6\x80\xe4'), chr(100) + chr(0b1100101) + chr(99) + chr(5644 - 5533) + chr(0b1011010 + 0o12) + chr(0b1100101))(chr(0b1100 + 0o151) + chr(116) + chr(102) + chr(0b11 + 0o52) + chr(0b101101 + 0o13)))(t_Oy0SIzFD9V, xafqLlk3kkUe(Qa2uSJqQPT3w, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xa63'), chr(100) + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(9831 - 9730))('\165' + chr(0b1110100) + chr(102) + chr(0b101100 + 0o1) + chr(530 - 474)))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xbd<g\xa5#4'), '\x64' + chr(4228 - 4127) + chr(0b1100011) + chr(0b101001 + 0o106) + chr(0b1000001 + 0o43) + chr(0b100001 + 0o104))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(56))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.withColumnRenamed
|
def withColumnRenamed(self, existing, new):
"""Returns a new :class:`DataFrame` by renaming an existing column.
This is a no-op if schema doesn't contain the given column name.
:param existing: string, name of the existing column to rename.
:param new: string, new name of the column.
>>> df.withColumnRenamed('age', 'age2').collect()
[Row(age2=2, name=u'Alice'), Row(age2=5, name=u'Bob')]
"""
return DataFrame(self._jdf.withColumnRenamed(existing, new), self.sql_ctx)
|
python
|
def withColumnRenamed(self, existing, new):
"""Returns a new :class:`DataFrame` by renaming an existing column.
This is a no-op if schema doesn't contain the given column name.
:param existing: string, name of the existing column to rename.
:param new: string, new name of the column.
>>> df.withColumnRenamed('age', 'age2').collect()
[Row(age2=2, name=u'Alice'), Row(age2=5, name=u'Bob')]
"""
return DataFrame(self._jdf.withColumnRenamed(existing, new), self.sql_ctx)
|
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"withColumnRenamed",
"(",
"existing",
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"sql_ctx",
")"
] |
Returns a new :class:`DataFrame` by renaming an existing column.
This is a no-op if schema doesn't contain the given column name.
:param existing: string, name of the existing column to rename.
:param new: string, new name of the column.
>>> df.withColumnRenamed('age', 'age2').collect()
[Row(age2=2, name=u'Alice'), Row(age2=5, name=u'Bob')]
|
[
"Returns",
"a",
"new",
":",
"class",
":",
"DataFrame",
"by",
"renaming",
"an",
"existing",
"column",
".",
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"-",
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"contain",
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L1991-L2001
|
train
|
Returns a new DataFrame by renaming an existing column.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(127 - 16) + chr(0b110101) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1725 - 1675) + chr(53) + chr(53), 54510 - 54502), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + '\063' + '\x33' + chr(353 - 301), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1000011 + 0o54) + chr(0b110100) + chr(0b10001 + 0o40), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(946 - 835) + '\x32' + '\x36' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x37' + chr(0b110101), 33932 - 33924), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x36' + chr(0b110001), 55778 - 55770), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + chr(1800 - 1751), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b1001 + 0o51) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11647 - 11536) + chr(0b10011 + 0o40) + chr(0b100 + 0o62) + chr(0b110011 + 0o1), 9476 - 9468), ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(835 - 783), 49166 - 49158), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\064' + chr(50), 0b1000), ehT0Px3KOsy9(chr(1247 - 1199) + '\x6f' + chr(0b110010) + chr(1517 - 1465) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2020 - 1971) + chr(55) + chr(0b101 + 0o54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(371 - 322) + chr(0b101101 + 0o10), 56320 - 56312), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1001 + 0o146) + chr(400 - 349) + chr(1756 - 1701), 31095 - 31087), ehT0Px3KOsy9(chr(0b110000) + chr(7357 - 7246) + chr(1204 - 1154) + '\064' + '\064', 8), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(0b110011) + '\062' + chr(1926 - 1877), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\063' + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(2142 - 2090) + chr(418 - 368), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(50) + chr(54) + '\061', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10101 + 0o34) + '\066' + chr(2526 - 2475), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110001 + 0o4) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1916 - 1805) + '\062' + chr(0b110111) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110111) + chr(0b11110 + 0o22), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\066' + chr(51), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110001) + chr(51), 58935 - 58927), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b110101) + '\x32', 45441 - 45433), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\061' + '\x34' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(50) + chr(0b10100 + 0o34) + chr(0b1111 + 0o45), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\067' + chr(0b100100 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(2129 - 2075) + chr(2340 - 2290), 27057 - 27049), ehT0Px3KOsy9(chr(0b110000) + chr(5748 - 5637) + chr(49) + chr(1339 - 1291) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(55) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2219 - 2168) + '\x30' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(52) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(478 - 428) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b10011 + 0o35) + chr(52), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), '\x64' + chr(0b111100 + 0o51) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(3236 - 3135))(chr(0b1110101) + '\164' + chr(9340 - 9238) + chr(0b11 + 0o52) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wFO_AP7KDcjZ(oVre8I6UXc3b, V1V0PLjsaJoI, kkGP3fOlEJ8h):
return TTWbaLX2VikC(xafqLlk3kkUe(oVre8I6UXc3b._jdf, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\xc4\xa8I\xf6\x12\xddT8\x9a~\x87\xca\x18\xa0z\xc0'), chr(0b1100100) + chr(8177 - 8076) + '\x63' + chr(111) + chr(0b1100100) + '\x65')('\165' + '\164' + chr(102) + chr(0b101101) + '\x38'))(V1V0PLjsaJoI, kkGP3fOlEJ8h), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'X\xdc\xb0~\xd6\t\xc9'), chr(100) + chr(0b110101 + 0o60) + chr(99) + chr(111) + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + '\x38')))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.drop
|
def drop(self, *cols):
"""Returns a new :class:`DataFrame` that drops the specified column.
This is a no-op if schema doesn't contain the given column name(s).
:param cols: a string name of the column to drop, or a
:class:`Column` to drop, or a list of string name of the columns to drop.
>>> df.drop('age').collect()
[Row(name=u'Alice'), Row(name=u'Bob')]
>>> df.drop(df.age).collect()
[Row(name=u'Alice'), Row(name=u'Bob')]
>>> df.join(df2, df.name == df2.name, 'inner').drop(df.name).collect()
[Row(age=5, height=85, name=u'Bob')]
>>> df.join(df2, df.name == df2.name, 'inner').drop(df2.name).collect()
[Row(age=5, name=u'Bob', height=85)]
>>> df.join(df2, 'name', 'inner').drop('age', 'height').collect()
[Row(name=u'Bob')]
"""
if len(cols) == 1:
col = cols[0]
if isinstance(col, basestring):
jdf = self._jdf.drop(col)
elif isinstance(col, Column):
jdf = self._jdf.drop(col._jc)
else:
raise TypeError("col should be a string or a Column")
else:
for col in cols:
if not isinstance(col, basestring):
raise TypeError("each col in the param list should be a string")
jdf = self._jdf.drop(self._jseq(cols))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def drop(self, *cols):
"""Returns a new :class:`DataFrame` that drops the specified column.
This is a no-op if schema doesn't contain the given column name(s).
:param cols: a string name of the column to drop, or a
:class:`Column` to drop, or a list of string name of the columns to drop.
>>> df.drop('age').collect()
[Row(name=u'Alice'), Row(name=u'Bob')]
>>> df.drop(df.age).collect()
[Row(name=u'Alice'), Row(name=u'Bob')]
>>> df.join(df2, df.name == df2.name, 'inner').drop(df.name).collect()
[Row(age=5, height=85, name=u'Bob')]
>>> df.join(df2, df.name == df2.name, 'inner').drop(df2.name).collect()
[Row(age=5, name=u'Bob', height=85)]
>>> df.join(df2, 'name', 'inner').drop('age', 'height').collect()
[Row(name=u'Bob')]
"""
if len(cols) == 1:
col = cols[0]
if isinstance(col, basestring):
jdf = self._jdf.drop(col)
elif isinstance(col, Column):
jdf = self._jdf.drop(col._jc)
else:
raise TypeError("col should be a string or a Column")
else:
for col in cols:
if not isinstance(col, basestring):
raise TypeError("each col in the param list should be a string")
jdf = self._jdf.drop(self._jseq(cols))
return DataFrame(jdf, self.sql_ctx)
|
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] |
Returns a new :class:`DataFrame` that drops the specified column.
This is a no-op if schema doesn't contain the given column name(s).
:param cols: a string name of the column to drop, or a
:class:`Column` to drop, or a list of string name of the columns to drop.
>>> df.drop('age').collect()
[Row(name=u'Alice'), Row(name=u'Bob')]
>>> df.drop(df.age).collect()
[Row(name=u'Alice'), Row(name=u'Bob')]
>>> df.join(df2, df.name == df2.name, 'inner').drop(df.name).collect()
[Row(age=5, height=85, name=u'Bob')]
>>> df.join(df2, df.name == df2.name, 'inner').drop(df2.name).collect()
[Row(age=5, name=u'Bob', height=85)]
>>> df.join(df2, 'name', 'inner').drop('age', 'height').collect()
[Row(name=u'Bob')]
|
[
"Returns",
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":",
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L2005-L2041
|
train
|
Returns a new DataFrame that contains the specified column.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(442 - 390) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(55) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(5270 - 5159) + chr(142 - 91) + '\x31' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o55) + '\x33' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x33' + chr(656 - 602) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 62280 - 62272), ehT0Px3KOsy9(chr(48) + chr(787 - 676) + chr(0b110110) + chr(731 - 676), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(2175 - 2123), 0o10), ehT0Px3KOsy9(chr(973 - 925) + chr(3698 - 3587) + chr(0b110010) + chr(0b11110 + 0o30) + chr(0b10101 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(1019 - 968) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b100000 + 0o117) + chr(0b110011) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\062' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(50) + '\067' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\065' + '\066', 63598 - 63590), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110001) + chr(0b110111), 8), ehT0Px3KOsy9(chr(1654 - 1606) + chr(713 - 602) + '\x32' + chr(0b101010 + 0o11) + chr(51), 50742 - 50734), ehT0Px3KOsy9(chr(48) + '\157' + chr(2016 - 1962) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110011) + chr(1471 - 1416), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\062' + chr(1136 - 1083) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(50) + chr(903 - 852) + chr(2924 - 2869), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11101 + 0o26) + chr(50) + chr(0b1000 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b110011) + chr(49) + chr(0b110010 + 0o2), 0b1000), ehT0Px3KOsy9(chr(2073 - 2025) + chr(0b1101111) + '\061' + chr(0b110101) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(0b1101 + 0o44) + chr(54) + chr(54), 47377 - 47369), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(49) + '\x33' + chr(0b101101 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1937 - 1888) + '\x35' + chr(51), 31544 - 31536), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110110) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(0b110001) + chr(0b10101 + 0o35) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + '\x32' + chr(0b11001 + 0o32), 17321 - 17313), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\064' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b110000 + 0o77) + chr(2309 - 2260) + chr(0b110001) + chr(1922 - 1867), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(0b110011) + chr(2399 - 2348) + chr(2165 - 2112), 46873 - 46865), ehT0Px3KOsy9(chr(1719 - 1671) + chr(10798 - 10687) + '\x37' + chr(0b1000 + 0o50), 0o10), ehT0Px3KOsy9(chr(1333 - 1285) + chr(111) + '\063' + '\x37' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11544 - 11433) + chr(51) + '\x36' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100110 + 0o13) + '\x30' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(1939 - 1886) + '\x34', 63638 - 63630), ehT0Px3KOsy9(chr(1844 - 1796) + chr(10088 - 9977) + '\x31' + chr(0b101110 + 0o5) + '\x31', 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(12038 - 11927) + chr(2437 - 2386) + '\x35' + chr(1388 - 1338), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + '\062' + chr(0b11101 + 0o27), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100011 + 0o22) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb'), chr(0b11011 + 0o111) + chr(6201 - 6100) + chr(99) + chr(10328 - 10217) + '\144' + '\x65')('\165' + chr(0b1000 + 0o154) + '\146' + chr(1871 - 1826) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vSSGfCYgvf4T(oVre8I6UXc3b, *AIgvIWQd9onz):
if c2A0yzQpDQB3(AIgvIWQd9onz) == ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b110001), 30006 - 29998):
Qa2uSJqQPT3w = AIgvIWQd9onz[ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + '\060', 8)]
if PlSM16l2KDPD(Qa2uSJqQPT3w, YUHmwdgm0K2P):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.drop(Qa2uSJqQPT3w)
elif PlSM16l2KDPD(Qa2uSJqQPT3w, fPAxuGjPVbis):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.drop(Qa2uSJqQPT3w._jc)
else:
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x86V\xa3\xbc\x86hXq\xdf=;\xb1\xdb\x0e\xae\xbbGk\xde\xf6\xbf\xabN\x19,KVwPK#\xa8U\x92'), chr(4611 - 4511) + '\145' + chr(0b110110 + 0o55) + chr(11908 - 11797) + chr(6511 - 6411) + '\145')(chr(0b1110101) + '\164' + chr(0b111101 + 0o51) + '\055' + chr(0b111000)))
else:
for Qa2uSJqQPT3w in AIgvIWQd9onz:
if not PlSM16l2KDPD(Qa2uSJqQPT3w, YUHmwdgm0K2P):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x80X\xac\xf4\xd5cXh\x930u\xf3\xcaF\xaa\xbbD~\xde\xfe\xbc\xec\x02\x1f-\x1f\x17${K:\xb1\\\xdc\x90%L8\xcag\x91K\xa6\xf2\x92'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1010111 + 0o30) + chr(100) + chr(0b1100101))('\165' + chr(116) + '\x66' + '\x2d' + '\x38'))
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.drop(oVre8I6UXc3b._jseq(AIgvIWQd9onz))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96H\xa3\xc3\x96tO'), '\144' + chr(0b1001101 + 0o30) + '\x63' + '\157' + chr(100) + chr(0b1100101))(chr(0b1101101 + 0o10) + chr(0b1110100) + chr(0b110100 + 0o62) + chr(45) + chr(56))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.toDF
|
def toDF(self, *cols):
"""Returns a new class:`DataFrame` that with new specified column names
:param cols: list of new column names (string)
>>> df.toDF('f1', 'f2').collect()
[Row(f1=2, f2=u'Alice'), Row(f1=5, f2=u'Bob')]
"""
jdf = self._jdf.toDF(self._jseq(cols))
return DataFrame(jdf, self.sql_ctx)
|
python
|
def toDF(self, *cols):
"""Returns a new class:`DataFrame` that with new specified column names
:param cols: list of new column names (string)
>>> df.toDF('f1', 'f2').collect()
[Row(f1=2, f2=u'Alice'), Row(f1=5, f2=u'Bob')]
"""
jdf = self._jdf.toDF(self._jseq(cols))
return DataFrame(jdf, self.sql_ctx)
|
[
"def",
"toDF",
"(",
"self",
",",
"*",
"cols",
")",
":",
"jdf",
"=",
"self",
".",
"_jdf",
".",
"toDF",
"(",
"self",
".",
"_jseq",
"(",
"cols",
")",
")",
"return",
"DataFrame",
"(",
"jdf",
",",
"self",
".",
"sql_ctx",
")"
] |
Returns a new class:`DataFrame` that with new specified column names
:param cols: list of new column names (string)
>>> df.toDF('f1', 'f2').collect()
[Row(f1=2, f2=u'Alice'), Row(f1=5, f2=u'Bob')]
|
[
"Returns",
"a",
"new",
"class",
":",
"DataFrame",
"that",
"with",
"new",
"specified",
"column",
"names"
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L2044-L2053
|
train
|
Returns a new class : DataFrame that with new specified column names
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(7469 - 7358) + chr(0b10 + 0o63) + chr(1448 - 1399), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1111 + 0o43) + chr(50) + chr(1226 - 1172), 18646 - 18638), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(445 - 396) + '\062' + chr(0b1100 + 0o44), 42597 - 42589), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(49) + chr(811 - 757) + '\066', 5053 - 5045), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10101 + 0o35) + '\064' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\x31' + '\x36' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\067' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1279 - 1230) + chr(0b110110) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1017 - 969) + chr(0b1101111) + chr(0b1111 + 0o43) + chr(498 - 449), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1080 - 1030) + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(51) + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1000 + 0o51) + '\060' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101110 + 0o1) + chr(0b110010) + chr(0b110101) + chr(0b101100 + 0o4), 0b1000), ehT0Px3KOsy9(chr(1286 - 1238) + '\157' + '\063' + '\x35' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\062' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b11001 + 0o30) + chr(1039 - 985), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(770 - 717) + chr(0b1000 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(52) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110111) + chr(49), 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(50) + chr(49) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(50) + chr(1936 - 1887), 61464 - 61456), ehT0Px3KOsy9(chr(545 - 497) + '\x6f' + chr(0b11 + 0o56) + '\x33' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2848 - 2737) + chr(428 - 377) + '\063' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\066' + chr(0b110100), 49636 - 49628), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(53) + chr(800 - 749), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(543 - 492) + '\062' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1630 - 1579) + chr(0b100000 + 0o21) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110010) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(49) + '\x30', 48447 - 48439), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\060' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1 + 0o62) + '\061' + '\063', 0o10), ehT0Px3KOsy9(chr(1509 - 1461) + chr(2361 - 2250) + '\x34' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b11100 + 0o123) + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9(chr(2010 - 1962) + chr(0b100 + 0o153) + chr(50) + chr(0b110111) + '\065', 37684 - 37676), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101 + 0o56) + chr(0b11010 + 0o26) + chr(0b110011 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1010 + 0o50) + chr(1103 - 1052) + chr(0b100101 + 0o14), 2589 - 2581), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x36' + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x35' + '\066', 4064 - 4056)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001 + 0o4) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x07'), chr(100) + '\x65' + chr(0b1 + 0o142) + '\157' + chr(0b1100100) + chr(1164 - 1063))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + chr(850 - 794)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NiryagPKE7IU(oVre8I6UXc3b, *AIgvIWQd9onz):
Q5S9qUhElRYW = oVre8I6UXc3b._jdf.toDF(oVre8I6UXc3b._jseq(AIgvIWQd9onz))
return TTWbaLX2VikC(Q5S9qUhElRYW, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\xe7<)\xc5\x07A'), chr(5103 - 5003) + '\145' + '\143' + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(116) + chr(102) + chr(45) + chr(0b1010 + 0o56))))
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.transform
|
def transform(self, func):
"""Returns a new class:`DataFrame`. Concise syntax for chaining custom transformations.
:param func: a function that takes and returns a class:`DataFrame`.
>>> from pyspark.sql.functions import col
>>> df = spark.createDataFrame([(1, 1.0), (2, 2.0)], ["int", "float"])
>>> def cast_all_to_int(input_df):
... return input_df.select([col(col_name).cast("int") for col_name in input_df.columns])
>>> def sort_columns_asc(input_df):
... return input_df.select(*sorted(input_df.columns))
>>> df.transform(cast_all_to_int).transform(sort_columns_asc).show()
+-----+---+
|float|int|
+-----+---+
| 1| 1|
| 2| 2|
+-----+---+
"""
result = func(self)
assert isinstance(result, DataFrame), "Func returned an instance of type [%s], " \
"should have been DataFrame." % type(result)
return result
|
python
|
def transform(self, func):
"""Returns a new class:`DataFrame`. Concise syntax for chaining custom transformations.
:param func: a function that takes and returns a class:`DataFrame`.
>>> from pyspark.sql.functions import col
>>> df = spark.createDataFrame([(1, 1.0), (2, 2.0)], ["int", "float"])
>>> def cast_all_to_int(input_df):
... return input_df.select([col(col_name).cast("int") for col_name in input_df.columns])
>>> def sort_columns_asc(input_df):
... return input_df.select(*sorted(input_df.columns))
>>> df.transform(cast_all_to_int).transform(sort_columns_asc).show()
+-----+---+
|float|int|
+-----+---+
| 1| 1|
| 2| 2|
+-----+---+
"""
result = func(self)
assert isinstance(result, DataFrame), "Func returned an instance of type [%s], " \
"should have been DataFrame." % type(result)
return result
|
[
"def",
"transform",
"(",
"self",
",",
"func",
")",
":",
"result",
"=",
"func",
"(",
"self",
")",
"assert",
"isinstance",
"(",
"result",
",",
"DataFrame",
")",
",",
"\"Func returned an instance of type [%s], \"",
"\"should have been DataFrame.\"",
"%",
"type",
"(",
"result",
")",
"return",
"result"
] |
Returns a new class:`DataFrame`. Concise syntax for chaining custom transformations.
:param func: a function that takes and returns a class:`DataFrame`.
>>> from pyspark.sql.functions import col
>>> df = spark.createDataFrame([(1, 1.0), (2, 2.0)], ["int", "float"])
>>> def cast_all_to_int(input_df):
... return input_df.select([col(col_name).cast("int") for col_name in input_df.columns])
>>> def sort_columns_asc(input_df):
... return input_df.select(*sorted(input_df.columns))
>>> df.transform(cast_all_to_int).transform(sort_columns_asc).show()
+-----+---+
|float|int|
+-----+---+
| 1| 1|
| 2| 2|
+-----+---+
|
[
"Returns",
"a",
"new",
"class",
":",
"DataFrame",
".",
"Concise",
"syntax",
"for",
"chaining",
"custom",
"transformations",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L2056-L2078
|
train
|
Returns a new class : DataFrame. Concise syntax for chaining custom transformations.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(1301 - 1250) + '\x33', 0o10), ehT0Px3KOsy9(chr(469 - 421) + chr(0b100010 + 0o115) + chr(0b101111 + 0o3), 0o10), ehT0Px3KOsy9(chr(1456 - 1408) + chr(0b1000011 + 0o54) + chr(0b101100 + 0o7) + '\x36' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1115 - 1067) + '\157' + '\064' + '\x36', 63837 - 63829), ehT0Px3KOsy9(chr(48) + chr(8641 - 8530) + chr(0b110011) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(0b10001 + 0o45) + chr(148 - 97), 58668 - 58660), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x34' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(1445 - 1393) + chr(1272 - 1220), 24703 - 24695), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110 + 0o53) + chr(1585 - 1531) + chr(0b101 + 0o60), 55641 - 55633), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x31' + chr(0b110110) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1170 - 1122) + '\157' + '\063' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(1504 - 1451) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8033 - 7922) + '\065' + chr(0b101100 + 0o11), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(0b101011 + 0o10) + chr(48) + chr(1519 - 1470), 6574 - 6566), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(49) + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x30' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(10109 - 9998) + chr(603 - 554) + '\065' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(1844 - 1733) + '\x33' + chr(0b110010) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b1 + 0o60) + chr(48) + chr(0b110000 + 0o3), 54569 - 54561), ehT0Px3KOsy9(chr(315 - 267) + chr(0b1101111) + chr(0b1000 + 0o53) + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110111) + chr(933 - 880), 11245 - 11237), ehT0Px3KOsy9('\060' + '\157' + chr(0b10101 + 0o34) + chr(0b110110) + '\063', 15108 - 15100), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9(chr(555 - 507) + '\157' + '\x32' + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(54) + chr(48), 6924 - 6916), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x32', 8), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(0b110001) + chr(0b110111) + chr(0b110001), 56638 - 56630), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x32' + '\060' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110110) + '\x34', 38019 - 38011), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b10011 + 0o134) + chr(0b100 + 0o57) + chr(2436 - 2381) + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100 + 0o56) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\062' + chr(53) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(51) + '\065' + chr(1619 - 1566), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(1494 - 1443) + chr(0b110011), 8), ehT0Px3KOsy9(chr(1296 - 1248) + '\157' + chr(0b110 + 0o55) + '\x34' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b10 + 0o62) + chr(2126 - 2078), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6047 - 5936) + chr(0b110001 + 0o2) + '\x32' + chr(2265 - 2215), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o36) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'u'), chr(100) + '\145' + chr(0b111100 + 0o47) + chr(0b1101111) + '\x64' + '\145')('\x75' + '\x74' + '\x66' + chr(195 - 150) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ASNeIOBhze_M(oVre8I6UXc3b, EzOtJ3kbK5x4):
ShZmEKfTkAOZ = EzOtJ3kbK5x4(oVre8I6UXc3b)
assert PlSM16l2KDPD(ShZmEKfTkAOZ, TTWbaLX2VikC), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1dw\x9aE?A\xc7l\x91\x07\x19\x7f\xcc+L\xafE\xef\x07\xa17zr\x9e\x16$\xf8V:\r\xf9\xc4\x980\xf7\xc8h\xbf\xcc\xf2(j\x9bSsW\x82p\x85\x03\x12:\xcanH\xafE\xc2\x08\xa6"]n\x9c\x1ea\xb9'), chr(0b1100100 + 0o0) + chr(0b1000110 + 0o37) + '\143' + chr(10526 - 10415) + chr(100) + chr(0b1011010 + 0o13))(chr(0b1110101) + chr(11009 - 10893) + chr(0b1100011 + 0o3) + chr(45) + '\070') % wmQmyeWBmUpv(ShZmEKfTkAOZ)
return ShZmEKfTkAOZ
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame.toPandas
|
def toPandas(self):
"""
Returns the contents of this :class:`DataFrame` as Pandas ``pandas.DataFrame``.
This is only available if Pandas is installed and available.
.. note:: This method should only be used if the resulting Pandas's DataFrame is expected
to be small, as all the data is loaded into the driver's memory.
.. note:: Usage with spark.sql.execution.arrow.enabled=True is experimental.
>>> df.toPandas() # doctest: +SKIP
age name
0 2 Alice
1 5 Bob
"""
from pyspark.sql.utils import require_minimum_pandas_version
require_minimum_pandas_version()
import pandas as pd
if self.sql_ctx._conf.pandasRespectSessionTimeZone():
timezone = self.sql_ctx._conf.sessionLocalTimeZone()
else:
timezone = None
if self.sql_ctx._conf.arrowEnabled():
use_arrow = True
try:
from pyspark.sql.types import to_arrow_schema
from pyspark.sql.utils import require_minimum_pyarrow_version
require_minimum_pyarrow_version()
to_arrow_schema(self.schema)
except Exception as e:
if self.sql_ctx._conf.arrowFallbackEnabled():
msg = (
"toPandas attempted Arrow optimization because "
"'spark.sql.execution.arrow.enabled' is set to true; however, "
"failed by the reason below:\n %s\n"
"Attempting non-optimization as "
"'spark.sql.execution.arrow.fallback.enabled' is set to "
"true." % _exception_message(e))
warnings.warn(msg)
use_arrow = False
else:
msg = (
"toPandas attempted Arrow optimization because "
"'spark.sql.execution.arrow.enabled' is set to true, but has reached "
"the error below and will not continue because automatic fallback "
"with 'spark.sql.execution.arrow.fallback.enabled' has been set to "
"false.\n %s" % _exception_message(e))
warnings.warn(msg)
raise
# Try to use Arrow optimization when the schema is supported and the required version
# of PyArrow is found, if 'spark.sql.execution.arrow.enabled' is enabled.
if use_arrow:
try:
from pyspark.sql.types import _check_dataframe_localize_timestamps
import pyarrow
batches = self._collectAsArrow()
if len(batches) > 0:
table = pyarrow.Table.from_batches(batches)
# Pandas DataFrame created from PyArrow uses datetime64[ns] for date type
# values, but we should use datetime.date to match the behavior with when
# Arrow optimization is disabled.
pdf = table.to_pandas(date_as_object=True)
return _check_dataframe_localize_timestamps(pdf, timezone)
else:
return pd.DataFrame.from_records([], columns=self.columns)
except Exception as e:
# We might have to allow fallback here as well but multiple Spark jobs can
# be executed. So, simply fail in this case for now.
msg = (
"toPandas attempted Arrow optimization because "
"'spark.sql.execution.arrow.enabled' is set to true, but has reached "
"the error below and can not continue. Note that "
"'spark.sql.execution.arrow.fallback.enabled' does not have an effect "
"on failures in the middle of computation.\n %s" % _exception_message(e))
warnings.warn(msg)
raise
# Below is toPandas without Arrow optimization.
pdf = pd.DataFrame.from_records(self.collect(), columns=self.columns)
dtype = {}
for field in self.schema:
pandas_type = _to_corrected_pandas_type(field.dataType)
# SPARK-21766: if an integer field is nullable and has null values, it can be
# inferred by pandas as float column. Once we convert the column with NaN back
# to integer type e.g., np.int16, we will hit exception. So we use the inferred
# float type, not the corrected type from the schema in this case.
if pandas_type is not None and \
not(isinstance(field.dataType, IntegralType) and field.nullable and
pdf[field.name].isnull().any()):
dtype[field.name] = pandas_type
for f, t in dtype.items():
pdf[f] = pdf[f].astype(t, copy=False)
if timezone is None:
return pdf
else:
from pyspark.sql.types import _check_series_convert_timestamps_local_tz
for field in self.schema:
# TODO: handle nested timestamps, such as ArrayType(TimestampType())?
if isinstance(field.dataType, TimestampType):
pdf[field.name] = \
_check_series_convert_timestamps_local_tz(pdf[field.name], timezone)
return pdf
|
python
|
def toPandas(self):
"""
Returns the contents of this :class:`DataFrame` as Pandas ``pandas.DataFrame``.
This is only available if Pandas is installed and available.
.. note:: This method should only be used if the resulting Pandas's DataFrame is expected
to be small, as all the data is loaded into the driver's memory.
.. note:: Usage with spark.sql.execution.arrow.enabled=True is experimental.
>>> df.toPandas() # doctest: +SKIP
age name
0 2 Alice
1 5 Bob
"""
from pyspark.sql.utils import require_minimum_pandas_version
require_minimum_pandas_version()
import pandas as pd
if self.sql_ctx._conf.pandasRespectSessionTimeZone():
timezone = self.sql_ctx._conf.sessionLocalTimeZone()
else:
timezone = None
if self.sql_ctx._conf.arrowEnabled():
use_arrow = True
try:
from pyspark.sql.types import to_arrow_schema
from pyspark.sql.utils import require_minimum_pyarrow_version
require_minimum_pyarrow_version()
to_arrow_schema(self.schema)
except Exception as e:
if self.sql_ctx._conf.arrowFallbackEnabled():
msg = (
"toPandas attempted Arrow optimization because "
"'spark.sql.execution.arrow.enabled' is set to true; however, "
"failed by the reason below:\n %s\n"
"Attempting non-optimization as "
"'spark.sql.execution.arrow.fallback.enabled' is set to "
"true." % _exception_message(e))
warnings.warn(msg)
use_arrow = False
else:
msg = (
"toPandas attempted Arrow optimization because "
"'spark.sql.execution.arrow.enabled' is set to true, but has reached "
"the error below and will not continue because automatic fallback "
"with 'spark.sql.execution.arrow.fallback.enabled' has been set to "
"false.\n %s" % _exception_message(e))
warnings.warn(msg)
raise
# Try to use Arrow optimization when the schema is supported and the required version
# of PyArrow is found, if 'spark.sql.execution.arrow.enabled' is enabled.
if use_arrow:
try:
from pyspark.sql.types import _check_dataframe_localize_timestamps
import pyarrow
batches = self._collectAsArrow()
if len(batches) > 0:
table = pyarrow.Table.from_batches(batches)
# Pandas DataFrame created from PyArrow uses datetime64[ns] for date type
# values, but we should use datetime.date to match the behavior with when
# Arrow optimization is disabled.
pdf = table.to_pandas(date_as_object=True)
return _check_dataframe_localize_timestamps(pdf, timezone)
else:
return pd.DataFrame.from_records([], columns=self.columns)
except Exception as e:
# We might have to allow fallback here as well but multiple Spark jobs can
# be executed. So, simply fail in this case for now.
msg = (
"toPandas attempted Arrow optimization because "
"'spark.sql.execution.arrow.enabled' is set to true, but has reached "
"the error below and can not continue. Note that "
"'spark.sql.execution.arrow.fallback.enabled' does not have an effect "
"on failures in the middle of computation.\n %s" % _exception_message(e))
warnings.warn(msg)
raise
# Below is toPandas without Arrow optimization.
pdf = pd.DataFrame.from_records(self.collect(), columns=self.columns)
dtype = {}
for field in self.schema:
pandas_type = _to_corrected_pandas_type(field.dataType)
# SPARK-21766: if an integer field is nullable and has null values, it can be
# inferred by pandas as float column. Once we convert the column with NaN back
# to integer type e.g., np.int16, we will hit exception. So we use the inferred
# float type, not the corrected type from the schema in this case.
if pandas_type is not None and \
not(isinstance(field.dataType, IntegralType) and field.nullable and
pdf[field.name].isnull().any()):
dtype[field.name] = pandas_type
for f, t in dtype.items():
pdf[f] = pdf[f].astype(t, copy=False)
if timezone is None:
return pdf
else:
from pyspark.sql.types import _check_series_convert_timestamps_local_tz
for field in self.schema:
# TODO: handle nested timestamps, such as ArrayType(TimestampType())?
if isinstance(field.dataType, TimestampType):
pdf[field.name] = \
_check_series_convert_timestamps_local_tz(pdf[field.name], timezone)
return pdf
|
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] |
Returns the contents of this :class:`DataFrame` as Pandas ``pandas.DataFrame``.
This is only available if Pandas is installed and available.
.. note:: This method should only be used if the resulting Pandas's DataFrame is expected
to be small, as all the data is loaded into the driver's memory.
.. note:: Usage with spark.sql.execution.arrow.enabled=True is experimental.
>>> df.toPandas() # doctest: +SKIP
age name
0 2 Alice
1 5 Bob
|
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L2081-L2192
|
train
|
Returns the contents of this DataFrame as Pandas. DataFrame.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2586 - 2535) + '\x32' + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(378 - 329) + chr(0b110001) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8749 - 8638) + '\061' + chr(0b11111 + 0o27) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1771 - 1720) + chr(1256 - 1204) + chr(0b11 + 0o57), 19305 - 19297), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(0b101 + 0o60) + chr(0b110100), 61687 - 61679), ehT0Px3KOsy9(chr(1432 - 1384) + '\157' + chr(0b110100) + chr(0b11001 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1010 + 0o47) + '\x30' + chr(48), 0o10), ehT0Px3KOsy9(chr(984 - 936) + '\x6f' + chr(0b101001 + 0o12) + chr(0b101100 + 0o12) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b101100 + 0o13) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(2027 - 1979) + chr(0b1101111) + '\x31' + '\067' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1525 - 1477) + chr(111) + chr(0b110011) + chr(0b11100 + 0o30) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(0b110110 + 0o0) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(2110 - 2060) + '\x35' + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + chr(51) + chr(252 - 200) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11 + 0o56) + chr(0b110000), 57843 - 57835), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110110) + '\065', 0b1000), ehT0Px3KOsy9(chr(1816 - 1768) + chr(3373 - 3262) + chr(50) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b0 + 0o62) + chr(54) + chr(755 - 701), 25227 - 25219), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(1334 - 1285) + chr(1932 - 1880) + '\x32', 4278 - 4270), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b101010 + 0o7) + '\066' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110000) + chr(0b11010 + 0o26), 53308 - 53300), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\062' + '\066' + chr(0b101101 + 0o3), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(160 - 111) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o10) + chr(0b110110) + '\060', 17608 - 17600), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(135 - 85) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110110) + chr(1917 - 1864), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(0b110001) + chr(1802 - 1750) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(11098 - 10987) + chr(0b111 + 0o53) + '\061' + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(0b110001) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x31' + chr(0b110011), 55758 - 55750), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(1310 - 1259) + '\x35' + chr(765 - 715), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(10150 - 10039) + '\x32' + chr(0b10111 + 0o33), 2044 - 2036), ehT0Px3KOsy9('\x30' + chr(111) + chr(52) + '\065', 516 - 508), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b11101 + 0o23) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11 + 0o60) + chr(0b10110 + 0o40) + '\066', 0o10), ehT0Px3KOsy9(chr(1651 - 1603) + chr(0b1101111) + chr(0b110011) + chr(0b110010 + 0o0) + chr(0b10011 + 0o44), 0b1000), ehT0Px3KOsy9(chr(1283 - 1235) + chr(0b110000 + 0o77) + chr(0b11110 + 0o24) + '\x35' + '\061', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(617 - 564) + chr(0b10000 + 0o40), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), chr(0b100101 + 0o77) + chr(0b1011 + 0o132) + chr(0b101001 + 0o72) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1000011 + 0o62) + chr(0b1110100) + chr(4843 - 4741) + chr(929 - 884) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def AsTDqdmdE0Kj(oVre8I6UXc3b):
(icVYX6y4SCyj,) = (xafqLlk3kkUe(xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa50\x00\x92MS+\xdcK\x0c\x88\x18\xdc\x97iH{'), chr(100) + chr(9461 - 9360) + '\143' + chr(111) + chr(6111 - 6011) + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7,\x02\x97ES%\xadU\x14\x8a_\xc4\x96m{xT{J\xd7\x11)\xb6\xd5:\x03:\x9a\t'), chr(100) + chr(0b1100101) + chr(0b1001111 + 0o24) + '\157' + chr(0b1100100) + chr(0b11110 + 0o107))('\x75' + chr(7047 - 6931) + chr(1785 - 1683) + chr(45) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa68\x1f'), '\x64' + '\x65' + '\x63' + '\157' + chr(0b1100100) + chr(0b1001100 + 0o31))(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0=\x1a\x8e_'), chr(0b111 + 0o135) + '\145' + chr(99) + chr(0b1010011 + 0o34) + chr(9059 - 8959) + '\x65')('\x75' + '\x74' + chr(0b11101 + 0o111) + chr(933 - 888) + chr(0b100011 + 0o25))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7,\x02\x97ES%\xadU\x14\x8a_\xc4\x96m{xT{J\xd7\x11)\xb6\xd5:\x03:\x9a\t'), chr(0b1100100) + chr(1368 - 1267) + chr(0b1100011) + chr(2476 - 2365) + chr(0b1001110 + 0o26) + chr(0b1100101))(chr(0b1110101) + chr(10332 - 10216) + chr(102) + chr(0b101101) + chr(1126 - 1070))),)
icVYX6y4SCyj()
(dubtF9GfzOdC,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5(\x1d\x86MR'), chr(9771 - 9671) + chr(8532 - 8431) + '\143' + chr(111) + chr(100) + '\x65')(chr(117) + chr(116) + chr(0b11110 + 0o110) + chr(45) + '\x38')),)
if xafqLlk3kkUe(oVre8I6UXc3b.sql_ctx._conf, xafqLlk3kkUe(SXOLrMavuUCe(b"\xa5(\x1d\x86MR\x12\x97K\r\x81U\xdd\xb0eW{\\z@\xe2\x0b\x1b\xa5\xea'\x1e6"), chr(6965 - 6865) + chr(101) + chr(99) + chr(111) + chr(9856 - 9756) + chr(0b100010 + 0o103))('\165' + '\x74' + chr(102) + chr(0b10110 + 0o27) + chr(56)))():
PqrDAjkPTUN_ = oVre8I6UXc3b.sql_ctx._conf.sessionLocalTimeZone()
else:
PqrDAjkPTUN_ = None
if xafqLlk3kkUe(oVre8I6UXc3b.sql_ctx._conf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4;\x01\x8d[d.\x93Z\x11\x81R'), chr(100) + chr(8059 - 7958) + '\x63' + '\x6f' + chr(100) + chr(0b100001 + 0o104))('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000)))():
Sq_HqkBHxWIL = ehT0Px3KOsy9(chr(48) + chr(8760 - 8649) + chr(0b110001), 37083 - 37075)
try:
(gBFM_KljbGdA,) = (xafqLlk3kkUe(xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa50\x00\x92MS+\xdcK\x0c\x88\x18\xdd\x9apA{'), chr(0b1100100) + chr(0b1100101) + chr(6632 - 6533) + chr(4743 - 4632) + chr(4138 - 4038) + chr(0b1001110 + 0o27))('\165' + chr(4539 - 4423) + chr(102) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1&,\x83^S/\x85g\x0e\x87^\xcc\x8ea'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(117) + chr(2820 - 2704) + chr(0b1100110) + chr(0b101101) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa68\x1f'), chr(0b1100100) + chr(0b111000 + 0o55) + chr(0b1011 + 0o130) + '\157' + chr(6314 - 6214) + chr(101))('\x75' + chr(0b1011111 + 0o25) + chr(637 - 535) + chr(45) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa10\x03\x87_'), chr(0b1100100) + chr(101) + chr(7551 - 7452) + chr(6910 - 6799) + chr(0b1100100) + chr(8201 - 8100))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b101011 + 0o15))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1&,\x83^S/\x85g\x0e\x87^\xcc\x8ea'), chr(0b11000 + 0o114) + chr(0b1100101) + chr(99) + chr(1716 - 1605) + chr(8778 - 8678) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1628 - 1583) + chr(0b111000))),)
(Vt0YZl6whxvx,) = (xafqLlk3kkUe(xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa50\x00\x92MS+\xdcK\x0c\x88\x18\xdc\x97iH{'), chr(0b1100100) + chr(325 - 224) + chr(0b1000011 + 0o40) + chr(111) + '\x64' + chr(0b111111 + 0o46))(chr(117) + chr(116) + chr(102) + '\055' + chr(0b10001 + 0o47)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7,\x02\x97ES%\xadU\x14\x8a_\xc4\x96m{xLt\\\xc4\r\x01\x9f\xc6-\x02 \x9c\x08\xe6'), chr(0b1100100) + chr(101) + '\143' + chr(0b1000000 + 0o57) + '\144' + chr(0b1100101))('\x75' + '\164' + chr(3896 - 3794) + chr(45) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa68\x1f'), chr(0b1011111 + 0o5) + chr(101) + chr(9037 - 8938) + chr(9495 - 9384) + '\x64' + '\145')(chr(0b1110101) + chr(1789 - 1673) + chr(0b1100110) + chr(1148 - 1103) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0=\x1a\x8e_'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(5297 - 5197) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(45) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7,\x02\x97ES%\xadU\x14\x8a_\xc4\x96m{xLt\\\xc4\r\x01\x9f\xc6-\x02 \x9c\x08\xe6'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(117) + '\164' + chr(4541 - 4439) + '\055' + chr(2782 - 2726))),)
Vt0YZl6whxvx()
gBFM_KljbGdA(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6*\x1b\x87A@'), '\144' + chr(0b1100010 + 0o3) + chr(0b1100011) + chr(6546 - 6435) + '\144' + chr(0b1100000 + 0o5))(chr(0b1110101) + chr(116) + '\146' + chr(0b1001 + 0o44) + '\x38')))
except jLmadlzMdunT as GlnVAPeT6CUe:
if xafqLlk3kkUe(oVre8I6UXc3b.sql_ctx._conf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4;\x01\x8d[g!\x9eT\x1f\x85U\xc2\xa6nEjYpJ'), chr(5331 - 5231) + chr(101) + chr(0b1100011) + chr(2900 - 2789) + '\x64' + chr(101))(chr(117) + chr(2689 - 2573) + '\146' + chr(1723 - 1678) + chr(0b111000)))():
jtbovtaIYjRB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1&#\x83BE!\x81\x18\x1c\x90B\xcc\x8epPmQ5o\xc4\x10\x19\xb7\x90\'\x00\'\x9c\n\xe1v\xea\x9e{J)\xd6\xb5\xcc\xb6(\x06\x91I\x01g\x81H\x1c\x96]\x87\x90qH&PmK\xd5\x17\x02\xa9\xdf&^2\x87\x15\xe7{\xa5\x8f|D%\x9a\xb2\xcd\xf2i\x1a\x91\x0cR%\x86\x18\t\x8b\x16\xdd\x91uA3\x15}A\xc1\x07\x00\xa5\xc2dP5\x94\x0e\xe4i\xef\xcap\\g\x82\xbf\xcc\xf5;\x16\x83_N.\xd2Z\x18\x88Y\xde\xd9\n\x04(\x10f$\xf7\x16\x02\xa5\xdd8\x04:\x9b\x00\xa8b\xe4\x84?J7\x82\xbe\xc4\xbc3\x12\x96EN.\xd2Y\x0e\xc4\x11\xda\x93aVc\x1bf_\xdaL\x13\xb8\xd5+\x05\'\x9c\x08\xe6"\xea\x98`J0\xd8\xb1\xc8\xb9%\x11\x83OJn\x97V\x1c\x86Z\xcc\x87\'\x04aF5]\xd3\x16V\xb4\xdfh\x04!\x80\x02\xa6'), '\144' + chr(0b1010100 + 0o21) + chr(99) + chr(11351 - 11240) + chr(100) + '\145')('\165' + '\164' + chr(7157 - 7055) + chr(0b101101) + '\070') % bWWhrMG7blfc(GlnVAPeT6CUe)
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2(\x01\x8c'), '\144' + '\145' + chr(5289 - 5190) + chr(111) + '\144' + chr(0b110001 + 0o64))(chr(0b10010 + 0o143) + chr(7983 - 7867) + chr(855 - 753) + chr(0b101101) + '\x38'))(jtbovtaIYjRB)
Sq_HqkBHxWIL = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 8)
else:
jtbovtaIYjRB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1&#\x83BE!\x81\x18\x1c\x90B\xcc\x8epPmQ5o\xc4\x10\x19\xb7\x90\'\x00\'\x9c\n\xe1v\xea\x9e{J)\xd6\xb5\xcc\xb6(\x06\x91I\x01g\x81H\x1c\x96]\x87\x90qH&PmK\xd5\x17\x02\xa9\xdf&^2\x87\x15\xe7{\xa5\x8f|D%\x9a\xb2\xcd\xf2i\x1a\x91\x0cR%\x86\x18\t\x8b\x16\xdd\x91uA$\x15w[\xc2B\x1e\xa1\xc3h\x026\x94\x04\xe0i\xef\xcafM"\xd6\xb2\xdb\xa7&\x01\xc2ND,\x9dO]\x85X\xcd\xc3wMdY5@\xd9\x16V\xa3\xdf&\x04:\x9b\x12\xed,\xe9\x8fqD2\x85\xb2\x89\xb4<\x07\x8dA@4\x9b[]\x82W\xc5\x8fbEk^5Y\xdf\x16\x1e\xe0\x97;\x002\x87\x0c\xa6\x7f\xfa\x86<@?\x93\xb4\xdc\xa1 \x1c\x8c\x02@2\x80W\n\xcaP\xc8\x8flFiV~\x00\xd3\x0c\x17\xa2\xdc-\x14t\xd5\x0f\xe9\x7f\xab\x88w@)\xd6\xa4\xcc\xa1i\x07\x8d\x0cG!\x9eK\x18\xca<\x89\xc3%W'), '\144' + '\x65' + '\x63' + chr(111) + '\144' + chr(1142 - 1041))(chr(350 - 233) + chr(3227 - 3111) + chr(10278 - 10176) + chr(45) + chr(56)) % bWWhrMG7blfc(GlnVAPeT6CUe)
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2(\x01\x8c'), chr(0b1100100) + '\145' + '\143' + chr(0b1000010 + 0o55) + '\144' + chr(0b1100101))('\x75' + '\x74' + chr(0b110001 + 0o65) + '\x2d' + chr(938 - 882)))(jtbovtaIYjRB)
raise
if Sq_HqkBHxWIL:
try:
(WD1UTtquly3m,) = (xafqLlk3kkUe(xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa50\x00\x92MS+\xdcK\x0c\x88\x18\xdd\x9apA{'), chr(7614 - 7514) + chr(0b1100000 + 0o5) + chr(5456 - 5357) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b101001 + 0o113) + '\146' + chr(847 - 802) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a*\x1b\x87OJ\x1f\x96Y\t\x85P\xdb\x82mAWYzM\xd7\x0e\x1f\xba\xd5\x17\x04:\x98\x02\xfbx\xea\x87bV'), '\144' + chr(0b1011010 + 0o13) + chr(0b0 + 0o143) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1011001 + 0o34) + chr(116) + chr(102) + chr(0b101101) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa68\x1f'), chr(2513 - 2413) + chr(0b1000111 + 0o36) + chr(5059 - 4960) + chr(0b110001 + 0o76) + chr(8049 - 7949) + '\145')('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b1111 + 0o51))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa10\x03\x87_'), chr(100) + '\x65' + chr(0b1100011) + chr(111) + chr(3242 - 3142) + '\145')(chr(117) + chr(0b1110100) + '\x66' + '\055' + chr(0b100001 + 0o27))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a*\x1b\x87OJ\x1f\x96Y\t\x85P\xdb\x82mAWYzM\xd7\x0e\x1f\xba\xd5\x17\x04:\x98\x02\xfbx\xea\x87bV'), chr(0b111111 + 0o45) + chr(101) + '\x63' + '\157' + chr(0b100111 + 0o75) + '\145')('\165' + chr(7735 - 7619) + chr(6465 - 6363) + chr(767 - 722) + chr(0b111000))),)
(ltmjOVlVue2G,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa50\x12\x90^N7'), '\144' + chr(0b1000 + 0o135) + '\143' + chr(1994 - 1883) + chr(0b1100100) + chr(370 - 269))(chr(0b100100 + 0o121) + chr(116) + '\146' + chr(673 - 628) + '\070')),)
_MNJVZv45jZi = oVre8I6UXc3b._collectAsArrow()
if c2A0yzQpDQB3(_MNJVZv45jZi) > ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x30', 8):
YbLi4ide0_3E = ltmjOVlVue2G.Table.from_batches(_MNJVZv45jZi)
UO85Z8oJqKtd = YbLi4ide0_3E.to_pandas(date_as_object=ehT0Px3KOsy9(chr(1667 - 1619) + '\157' + chr(0b1011 + 0o46), 8))
return WD1UTtquly3m(UO85Z8oJqKtd, PqrDAjkPTUN_)
else:
return xafqLlk3kkUe(dubtF9GfzOdC.DataFrame, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3;\x1c\x8fsS%\x91W\x0f\x80E'), chr(0b1001110 + 0o26) + '\x65' + '\143' + chr(111) + chr(5467 - 5367) + chr(0b110101 + 0o60))(chr(0b100001 + 0o124) + chr(0b1 + 0o163) + '\146' + chr(934 - 889) + '\070'))([], columns=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6&\x1f\x97AO3'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(9329 - 9229) + '\145')(chr(0b1001100 + 0o51) + chr(0b1110100) + '\x66' + '\x2d' + '\x38')))
except jLmadlzMdunT as GlnVAPeT6CUe:
jtbovtaIYjRB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1&#\x83BE!\x81\x18\x1c\x90B\xcc\x8epPmQ5o\xc4\x10\x19\xb7\x90\'\x00\'\x9c\n\xe1v\xea\x9e{J)\xd6\xb5\xcc\xb6(\x06\x91I\x01g\x81H\x1c\x96]\x87\x90qH&PmK\xd5\x17\x02\xa9\xdf&^2\x87\x15\xe7{\xa5\x8f|D%\x9a\xb2\xcd\xf2i\x1a\x91\x0cR%\x86\x18\t\x8b\x16\xdd\x91uA$\x15w[\xc2B\x1e\xa1\xc3h\x026\x94\x04\xe0i\xef\xcafM"\xd6\xb2\xdb\xa7&\x01\xc2ND,\x9dO]\x85X\xcd\xc3cEf\x15{A\xc2B\x15\xaf\xde<\x19=\x80\x02\xa6,\xc5\x85f@g\x82\xbf\xc8\xa1iT\x91\\@2\x99\x16\x0e\x95Z\x87\x86xAk@aG\xd9\x0cX\xa1\xc2:\x1f$\xdb\x01\xe9`\xe7\x88sF,\xd8\xb2\xc7\xb4+\x1f\x87H\x06`\x96W\x18\x97\x16\xc7\x8ct\x04`TcK\x96\x03\x18\xe0\xd5.\x166\x96\x13\xa8c\xe5\xcatD.\x9a\xa2\xdb\xb0:S\x8bB\x014\x9a]]\x89_\xcd\x87lA(Zs\x0e\xd5\r\x1b\xb0\xc5<\x11\'\x9c\x08\xe6"\x81\xca2\x004'), chr(0b11110 + 0o106) + chr(0b110001 + 0o64) + chr(0b1100001 + 0o2) + chr(4224 - 4113) + chr(0b1000010 + 0o42) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(56)) % bWWhrMG7blfc(GlnVAPeT6CUe)
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2(\x01\x8c'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)))(jtbovtaIYjRB)
raise
UO85Z8oJqKtd = dubtF9GfzOdC.DataFrame.from_records(oVre8I6UXc3b.collect(), columns=oVre8I6UXc3b.columns)
jSV9IKnemH7K = {}
for fEcfxx4smAdS in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6*\x1b\x87A@'), chr(0b1011001 + 0o13) + chr(0b1000011 + 0o42) + '\x63' + '\x6f' + chr(100) + chr(9741 - 9640))(chr(117) + chr(116) + '\146' + '\x2d' + chr(0b111000))):
_RiU90SXm62U = bas7cHOPIjhb(fEcfxx4smAdS.dataType)
if _RiU90SXm62U is not None and (not (PlSM16l2KDPD(xafqLlk3kkUe(fEcfxx4smAdS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1(\x07\x83xX0\x97'), chr(0b1001000 + 0o34) + chr(4862 - 4761) + chr(7845 - 7746) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(1378 - 1262) + chr(102) + '\x2d' + chr(0b1011 + 0o55))), Kup5E8PZDbDv) and xafqLlk3kkUe(fEcfxx4smAdS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb<\x1f\x8eMC,\x97'), '\x64' + chr(0b1100101) + chr(2688 - 2589) + chr(0b1101111) + '\x64' + chr(0b101001 + 0o74))('\165' + chr(116) + '\146' + chr(1629 - 1584) + '\x38')) and xafqLlk3kkUe(UO85Z8oJqKtd[fEcfxx4smAdS.name].isnull(), xafqLlk3kkUe(SXOLrMavuUCe(b"\xb4'\n"), '\144' + '\x65' + chr(0b1100011) + chr(4458 - 4347) + chr(100) + chr(101))('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(112 - 56)))())):
jSV9IKnemH7K[fEcfxx4smAdS.AIvJRzLdDfgF] = _RiU90SXm62U
for (EGyt1xfPT1P6, YeT3l7JgTbWR) in xafqLlk3kkUe(jSV9IKnemH7K, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc=\x16\x8f_'), chr(0b110010 + 0o62) + '\145' + chr(99) + chr(9641 - 9530) + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))():
UO85Z8oJqKtd[EGyt1xfPT1P6] = UO85Z8oJqKtd[EGyt1xfPT1P6].astype(YeT3l7JgTbWR, copy=ehT0Px3KOsy9(chr(48) + chr(4730 - 4619) + chr(0b110000), 8))
if PqrDAjkPTUN_ is None:
return UO85Z8oJqKtd
else:
(O5MV5kEaBwz4,) = (xafqLlk3kkUe(xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa50\x00\x92MS+\xdcK\x0c\x88\x18\xdd\x9apA{'), chr(0b101 + 0o137) + chr(0b100000 + 0o105) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(12158 - 12041) + '\164' + '\x66' + chr(0b10001 + 0o34) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b"\x8a*\x1b\x87OJ\x1f\x81]\x0f\x8dS\xda\xbccKfCp\\\xc2=\x02\xa9\xdd-\x03'\x94\n\xf8\x7f\xd4\x86}F&\x9a\x88\xdd\xaf"), chr(0b100000 + 0o104) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b111000 + 0o55))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa68\x1f'), chr(5505 - 5405) + chr(101) + '\x63' + chr(111) + '\x64' + chr(0b1100101))('\165' + '\x74' + '\146' + chr(45) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa10\x03\x87_'), '\144' + '\145' + chr(0b1100011) + '\x6f' + '\x64' + '\x65')('\165' + '\164' + chr(102) + chr(45) + chr(0b101000 + 0o20))), xafqLlk3kkUe(SXOLrMavuUCe(b"\x8a*\x1b\x87OJ\x1f\x81]\x0f\x8dS\xda\xbccKfCp\\\xc2=\x02\xa9\xdd-\x03'\x94\n\xf8\x7f\xd4\x86}F&\x9a\x88\xdd\xaf"), chr(0b11100 + 0o110) + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(0b101 + 0o140))('\x75' + chr(0b1000000 + 0o64) + chr(3326 - 3224) + chr(0b100011 + 0o12) + chr(0b111000))),)
for fEcfxx4smAdS in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6*\x1b\x87A@'), '\144' + '\145' + chr(0b1100011) + chr(7171 - 7060) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1011001 + 0o15) + chr(0b101101) + chr(0b1001 + 0o57))):
if PlSM16l2KDPD(xafqLlk3kkUe(fEcfxx4smAdS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1(\x07\x83xX0\x97'), chr(100) + chr(101) + chr(4794 - 4695) + '\x6f' + chr(100) + '\x65')('\165' + chr(0b1110100) + chr(5384 - 5282) + '\x2d' + '\x38')), VT6FkyDLA_PV):
UO85Z8oJqKtd[fEcfxx4smAdS.AIvJRzLdDfgF] = O5MV5kEaBwz4(UO85Z8oJqKtd[fEcfxx4smAdS.AIvJRzLdDfgF], PqrDAjkPTUN_)
return UO85Z8oJqKtd
|
apache/spark
|
python/pyspark/sql/dataframe.py
|
DataFrame._collectAsArrow
|
def _collectAsArrow(self):
"""
Returns all records as a list of ArrowRecordBatches, pyarrow must be installed
and available on driver and worker Python environments.
.. note:: Experimental.
"""
with SCCallSiteSync(self._sc) as css:
sock_info = self._jdf.collectAsArrowToPython()
# Collect list of un-ordered batches where last element is a list of correct order indices
results = list(_load_from_socket(sock_info, ArrowCollectSerializer()))
batches = results[:-1]
batch_order = results[-1]
# Re-order the batch list using the correct order
return [batches[i] for i in batch_order]
|
python
|
def _collectAsArrow(self):
"""
Returns all records as a list of ArrowRecordBatches, pyarrow must be installed
and available on driver and worker Python environments.
.. note:: Experimental.
"""
with SCCallSiteSync(self._sc) as css:
sock_info = self._jdf.collectAsArrowToPython()
# Collect list of un-ordered batches where last element is a list of correct order indices
results = list(_load_from_socket(sock_info, ArrowCollectSerializer()))
batches = results[:-1]
batch_order = results[-1]
# Re-order the batch list using the correct order
return [batches[i] for i in batch_order]
|
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Returns all records as a list of ArrowRecordBatches, pyarrow must be installed
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.. note:: Experimental.
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618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/sql/dataframe.py#L2194-L2210
|
train
|
Returns all records as a list of ArrowRecordBatches
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(12136 - 12025) + chr(49) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110001) + chr(0b110101) + '\066', 42305 - 42297), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110100) + chr(2494 - 2440), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(1587 - 1476) + '\x34', 25704 - 25696), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1010000 + 0o37) + '\062' + '\x34' + chr(1633 - 1581), 63253 - 63245), ehT0Px3KOsy9('\x30' + chr(675 - 564) + '\x31' + chr(0b100 + 0o56) + '\x31', 16375 - 16367), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x30' + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(657 - 607) + '\x32' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1011 + 0o47) + chr(2627 - 2575) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\061' + chr(0b10100 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b11 + 0o64) + '\061', 28494 - 28486), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1500 - 1448) + chr(1795 - 1745), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(5269 - 5158) + '\062' + chr(0b110010) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110000) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(468 - 419) + '\063' + chr(2670 - 2618), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(1105 - 1056) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(53) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1034 - 986) + chr(0b110011 + 0o74) + chr(52) + chr(54), 22181 - 22173), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(49) + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9777 - 9666) + '\063' + chr(0b101100 + 0o7) + chr(981 - 933), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11001 + 0o31) + '\x34' + chr(50), 8), ehT0Px3KOsy9(chr(661 - 613) + chr(0b1111 + 0o140) + chr(0b101000 + 0o11) + '\066' + chr(1166 - 1118), 55055 - 55047), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + '\x32' + chr(51) + '\062', 0b1000), ehT0Px3KOsy9(chr(601 - 553) + '\x6f' + '\x31' + '\x30' + chr(0b110100), 38982 - 38974), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(48), 0o10), ehT0Px3KOsy9(chr(273 - 225) + '\x6f' + chr(49) + chr(50) + chr(1513 - 1458), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b100111 + 0o14) + '\066', 11114 - 11106), ehT0Px3KOsy9(chr(2259 - 2211) + chr(0b1101111) + '\x33' + '\060' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\063' + '\062', 8), ehT0Px3KOsy9('\060' + chr(3314 - 3203) + '\x33' + chr(0b110100) + chr(2249 - 2195), ord("\x08")), ehT0Px3KOsy9(chr(1239 - 1191) + '\x6f' + '\x31' + '\066' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7684 - 7573) + chr(0b110011) + chr(0b110010) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b11010 + 0o35) + '\x35', 0o10), ehT0Px3KOsy9(chr(1090 - 1042) + '\x6f' + chr(51) + chr(985 - 935) + '\x30', 39161 - 39153), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b100100 + 0o20) + '\062', 8), ehT0Px3KOsy9(chr(174 - 126) + chr(0b1000011 + 0o54) + chr(0b110011) + chr(0b110011) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101000 + 0o12) + '\x35' + chr(2091 - 2042), 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(51) + '\x36', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(899 - 851) + '\157' + chr(0b110101) + chr(0b110 + 0o52), 14609 - 14601)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'!'), chr(9925 - 9825) + '\145' + '\x63' + chr(0b1011 + 0o144) + '\144' + chr(0b1001101 + 0o30))(chr(3656 - 3539) + chr(12681 - 12565) + chr(8123 - 8021) + chr(0b10101 + 0o30) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def v5eMNiTPoi6Q(oVre8I6UXc3b):
with w4BQmxaQvvMa(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Pr\r'), '\144' + '\145' + '\143' + chr(4718 - 4607) + '\144' + chr(0b1100001 + 0o4))(chr(0b100110 + 0o117) + chr(0b1101010 + 0o12) + '\x66' + chr(1364 - 1319) + chr(0b11111 + 0o31)))) as Zwp12no5jgU1:
Ixq2Ot7QrmtE = oVre8I6UXc3b._jdf.collectAsArrowToPython()
iIGKX2zSEGYP = YyaZ4tpXu4lf(lc0dZyjrneZ2(Ixq2Ot7QrmtE, AjOBZBtbPEi2()))
_MNJVZv45jZi = iIGKX2zSEGYP[:-ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\x31', 8)]
bB2beu5OJxQx = iIGKX2zSEGYP[-ehT0Px3KOsy9('\060' + '\157' + '\061', 8)]
return [_MNJVZv45jZi[WVxHKyX45z_L] for WVxHKyX45z_L in bB2beu5OJxQx]
|
apache/spark
|
python/pyspark/statcounter.py
|
StatCounter.asDict
|
def asDict(self, sample=False):
"""Returns the :class:`StatCounter` members as a ``dict``.
>>> sc.parallelize([1., 2., 3., 4.]).stats().asDict()
{'count': 4L,
'max': 4.0,
'mean': 2.5,
'min': 1.0,
'stdev': 1.2909944487358056,
'sum': 10.0,
'variance': 1.6666666666666667}
"""
return {
'count': self.count(),
'mean': self.mean(),
'sum': self.sum(),
'min': self.min(),
'max': self.max(),
'stdev': self.stdev() if sample else self.sampleStdev(),
'variance': self.variance() if sample else self.sampleVariance()
}
|
python
|
def asDict(self, sample=False):
"""Returns the :class:`StatCounter` members as a ``dict``.
>>> sc.parallelize([1., 2., 3., 4.]).stats().asDict()
{'count': 4L,
'max': 4.0,
'mean': 2.5,
'min': 1.0,
'stdev': 1.2909944487358056,
'sum': 10.0,
'variance': 1.6666666666666667}
"""
return {
'count': self.count(),
'mean': self.mean(),
'sum': self.sum(),
'min': self.min(),
'max': self.max(),
'stdev': self.stdev() if sample else self.sampleStdev(),
'variance': self.variance() if sample else self.sampleVariance()
}
|
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] |
Returns the :class:`StatCounter` members as a ``dict``.
>>> sc.parallelize([1., 2., 3., 4.]).stats().asDict()
{'count': 4L,
'max': 4.0,
'mean': 2.5,
'min': 1.0,
'stdev': 1.2909944487358056,
'sum': 10.0,
'variance': 1.6666666666666667}
|
[
"Returns",
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":",
"class",
":",
"StatCounter",
"members",
"as",
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"dict",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/statcounter.py#L134-L154
|
train
|
Returns the statCounter members as a dict.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(244 - 194) + chr(0b110011 + 0o3), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b11101 + 0o23) + chr(0b110111), 45870 - 45862), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b11000 + 0o33) + chr(590 - 538) + chr(0b101 + 0o57), 33323 - 33315), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110001) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + '\062' + '\061' + chr(50), 58090 - 58082), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + '\x33' + chr(0b10100 + 0o40) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(8656 - 8545) + '\062' + '\x37' + '\x36', 2627 - 2619), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(1126 - 1075) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\062' + chr(2149 - 2100) + chr(0b10011 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110100) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o57) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(609 - 556) + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5295 - 5184) + chr(1182 - 1132) + chr(0b110111) + '\065', 18984 - 18976), ehT0Px3KOsy9('\060' + chr(7353 - 7242) + chr(1270 - 1216) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(167 - 113) + '\061', 3107 - 3099), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(1015 - 965) + chr(0b110001) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(8796 - 8685) + chr(0b11000 + 0o34) + chr(631 - 578), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(707 - 658) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100000 + 0o21) + chr(52) + chr(0b10101 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + '\063' + chr(0b110110) + chr(52), 24342 - 24334), ehT0Px3KOsy9(chr(991 - 943) + chr(0b1010010 + 0o35) + '\x33' + '\x37' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2672 - 2561) + chr(0b100000 + 0o23) + chr(0b101100 + 0o4), 0o10), ehT0Px3KOsy9(chr(847 - 799) + chr(0b1101111) + chr(507 - 453) + '\x32', 8), ehT0Px3KOsy9(chr(1189 - 1141) + '\x6f' + chr(0b0 + 0o63) + chr(0b100101 + 0o16) + '\x32', 0o10), ehT0Px3KOsy9(chr(639 - 591) + chr(0b1000010 + 0o55) + chr(51) + chr(50) + chr(0b110000), 37781 - 37773), ehT0Px3KOsy9(chr(368 - 320) + chr(0b100001 + 0o116) + '\x32' + '\066' + chr(0b110110), 41291 - 41283), ehT0Px3KOsy9(chr(1697 - 1649) + chr(10153 - 10042) + chr(0b100001 + 0o21) + '\064' + chr(49), 15448 - 15440), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + chr(50) + chr(0b110100) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1786 - 1735) + chr(0b110110) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b11101 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6325 - 6214) + chr(51) + '\064', 54365 - 54357), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + chr(248 - 198) + chr(0b100 + 0o61) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(49) + chr(0b101011 + 0o11) + chr(0b1111 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(2452 - 2402) + chr(50) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1883 - 1835) + '\x6f' + '\061' + chr(0b110010) + '\x34', 21716 - 21708), ehT0Px3KOsy9(chr(320 - 272) + chr(0b1101111) + chr(51) + chr(51) + '\067', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b101101 + 0o6) + '\x32' + '\065', 0o10), ehT0Px3KOsy9(chr(2223 - 2175) + '\x6f' + '\x33' + chr(1584 - 1536) + chr(0b100000 + 0o24), 35227 - 35219), ehT0Px3KOsy9('\060' + chr(8038 - 7927) + chr(0b110001) + chr(1306 - 1254) + chr(807 - 756), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'8'), '\144' + chr(0b111101 + 0o50) + '\143' + '\157' + chr(0b1100100) + chr(0b1011110 + 0o7))(chr(0b101110 + 0o107) + chr(0b1110100) + chr(0b1100110) + chr(0b101100 + 0o1) + chr(2314 - 2258)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NWpffx7P9zzN(oVre8I6UXc3b, aBu4gMMQp6Jg=ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b10000 + 0o137) + '\x30', ord("\x08"))):
return {xafqLlk3kkUe(SXOLrMavuUCe(b'u(\x91\xe1\xfe'), '\144' + chr(0b1100101) + chr(2583 - 2484) + chr(0b1101111) + '\x64' + '\145')(chr(5215 - 5098) + chr(0b10000 + 0o144) + chr(102) + chr(0b10111 + 0o26) + chr(0b111000)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'u(\x91\xe1\xfe'), '\x64' + chr(8879 - 8778) + chr(99) + chr(0b100000 + 0o117) + chr(100) + chr(7325 - 7224))(chr(117) + chr(116) + '\146' + chr(45) + '\x38'))(), xafqLlk3kkUe(SXOLrMavuUCe(b'{"\x85\xe1'), chr(100) + '\x65' + chr(0b1011 + 0o130) + chr(111) + chr(0b1100100) + chr(615 - 514))(chr(117) + chr(116) + chr(4882 - 4780) + chr(0b101101) + '\x38'): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'{"\x85\xe1'), chr(0b1100100) + chr(101) + chr(99) + chr(9745 - 9634) + chr(0b1100100) + chr(9741 - 9640))(chr(4321 - 4204) + chr(8816 - 8700) + chr(0b1001101 + 0o31) + '\x2d' + '\x38'))(), xafqLlk3kkUe(SXOLrMavuUCe(b'e2\x89'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + chr(100) + chr(0b101110 + 0o67))('\165' + '\164' + '\x66' + chr(1152 - 1107) + chr(219 - 163)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'e2\x89'), chr(0b1010110 + 0o16) + chr(0b1100101) + '\x63' + chr(3074 - 2963) + chr(0b101000 + 0o74) + '\145')(chr(12491 - 12374) + chr(0b10 + 0o162) + '\x66' + '\055' + '\070'))(), xafqLlk3kkUe(SXOLrMavuUCe(b'{.\x8a'), chr(0b1100100) + chr(0b101010 + 0o73) + '\x63' + chr(0b100101 + 0o112) + chr(0b1100100) + '\x65')('\165' + chr(0b101111 + 0o105) + chr(102) + '\x2d' + chr(443 - 387)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'{.\x8a'), chr(0b1100100) + chr(7928 - 7827) + chr(99) + chr(0b1101100 + 0o3) + chr(100) + chr(0b1100101))(chr(377 - 260) + chr(10479 - 10363) + chr(102) + chr(45) + '\x38'))(), xafqLlk3kkUe(SXOLrMavuUCe(b'{&\x9c'), '\144' + chr(101) + chr(1742 - 1643) + '\x6f' + chr(100) + '\x65')(chr(117) + chr(9455 - 9339) + '\146' + chr(93 - 48) + chr(56)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'{&\x9c'), chr(1387 - 1287) + '\x65' + chr(99) + chr(0b1000001 + 0o56) + '\144' + '\x65')(chr(117) + '\x74' + chr(7080 - 6978) + chr(45) + '\x38'))(), xafqLlk3kkUe(SXOLrMavuUCe(b'e3\x80\xea\xfc'), chr(0b101111 + 0o65) + '\145' + '\x63' + chr(11350 - 11239) + chr(0b1001001 + 0o33) + chr(6638 - 6537))(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(3015 - 2959)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'e3\x80\xea\xfc'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(100) + chr(9899 - 9798))(chr(4201 - 4084) + chr(9942 - 9826) + chr(102) + '\055' + chr(0b110 + 0o62)))() if aBu4gMMQp6Jg else xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'e&\x89\xff\xe6\x86\xed\xee\x1a\xec\x11'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(4059 - 3958))(chr(0b110010 + 0o103) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(56)))(), xafqLlk3kkUe(SXOLrMavuUCe(b'`&\x96\xe6\xeb\x8d\xdd\xff'), chr(0b1100100) + '\145' + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(1695 - 1579) + '\x66' + '\055' + '\x38'): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'`&\x96\xe6\xeb\x8d\xdd\xff'), '\144' + chr(101) + chr(823 - 724) + chr(0b1001101 + 0o42) + chr(7069 - 6969) + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(99 - 54) + chr(0b101 + 0o63)))() if aBu4gMMQp6Jg else xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'e&\x89\xff\xe6\x86\xe8\xfb\x0c\xe0\x06y\x8e\xd8'), chr(4694 - 4594) + chr(0b11010 + 0o113) + chr(0b1100011) + chr(0b100100 + 0o113) + chr(100) + '\145')(chr(0b10000 + 0o145) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56)))()}
|
apache/spark
|
sql/gen-sql-markdown.py
|
_list_function_infos
|
def _list_function_infos(jvm):
"""
Returns a list of function information via JVM. Sorts wrapped expression infos by name
and returns them.
"""
jinfos = jvm.org.apache.spark.sql.api.python.PythonSQLUtils.listBuiltinFunctionInfos()
infos = []
for jinfo in jinfos:
name = jinfo.getName()
usage = jinfo.getUsage()
usage = usage.replace("_FUNC_", name) if usage is not None else usage
infos.append(ExpressionInfo(
className=jinfo.getClassName(),
name=name,
usage=usage,
arguments=jinfo.getArguments().replace("_FUNC_", name),
examples=jinfo.getExamples().replace("_FUNC_", name),
note=jinfo.getNote(),
since=jinfo.getSince(),
deprecated=jinfo.getDeprecated()))
return sorted(infos, key=lambda i: i.name)
|
python
|
def _list_function_infos(jvm):
"""
Returns a list of function information via JVM. Sorts wrapped expression infos by name
and returns them.
"""
jinfos = jvm.org.apache.spark.sql.api.python.PythonSQLUtils.listBuiltinFunctionInfos()
infos = []
for jinfo in jinfos:
name = jinfo.getName()
usage = jinfo.getUsage()
usage = usage.replace("_FUNC_", name) if usage is not None else usage
infos.append(ExpressionInfo(
className=jinfo.getClassName(),
name=name,
usage=usage,
arguments=jinfo.getArguments().replace("_FUNC_", name),
examples=jinfo.getExamples().replace("_FUNC_", name),
note=jinfo.getNote(),
since=jinfo.getSince(),
deprecated=jinfo.getDeprecated()))
return sorted(infos, key=lambda i: i.name)
|
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|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/sql/gen-sql-markdown.py#L26-L47
|
train
|
Returns a list of function information via JVM.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(6105 - 5994) + '\x33' + chr(840 - 788) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x32' + chr(618 - 568), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(55) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110001) + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11593 - 11482) + chr(0b110011) + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\x31' + chr(53), 17765 - 17757), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\x32' + chr(0b10110 + 0o33) + chr(0b110000 + 0o2), 10151 - 10143), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(1166 - 1111) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(4126 - 4015) + '\063' + chr(1937 - 1886) + chr(48), 65113 - 65105), ehT0Px3KOsy9(chr(0b110000) + chr(10497 - 10386) + chr(0b110010) + chr(1941 - 1893) + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(1533 - 1484), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10186 - 10075) + chr(51) + chr(51) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(0b110111) + chr(48), 3020 - 3012), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b11011 + 0o124) + chr(1935 - 1886) + chr(0b110111) + '\061', 0b1000), ehT0Px3KOsy9(chr(183 - 135) + chr(3841 - 3730) + chr(51) + chr(825 - 776), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(0b1011 + 0o53) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(9534 - 9423) + chr(0b110100) + chr(1980 - 1930), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(49) + '\x33' + chr(53), 56472 - 56464), ehT0Px3KOsy9(chr(382 - 334) + chr(111) + chr(0b110010) + chr(50) + chr(1806 - 1758), 0o10), ehT0Px3KOsy9(chr(1799 - 1751) + '\157' + chr(0b1000 + 0o52) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1100 + 0o143) + chr(1272 - 1221) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(1371 - 1260) + chr(50) + '\x34' + chr(0b110000 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110001) + '\067', 2005 - 1997), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + '\x33' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3109 - 2998) + '\063' + '\x35' + '\064', 698 - 690), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1428 - 1377) + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b110011) + chr(0b10 + 0o57) + chr(0b10010 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(1833 - 1785) + chr(0b1001000 + 0o47) + chr(0b110100) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\063' + '\x34' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(49) + '\066' + chr(1174 - 1120), 0o10), ehT0Px3KOsy9('\x30' + chr(9611 - 9500) + chr(0b110111), 21586 - 21578), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1317 - 1268) + chr(985 - 931) + '\x36', 8), ehT0Px3KOsy9('\060' + chr(1598 - 1487) + chr(0b111 + 0o53) + chr(0b110100) + chr(52), 7504 - 7496), ehT0Px3KOsy9(chr(1364 - 1316) + chr(111) + chr(0b101 + 0o56) + chr(2123 - 2070) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1520 - 1469) + chr(0b1001 + 0o56) + chr(174 - 120), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\x31' + chr(0b100000 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b101010 + 0o105) + chr(102 - 53) + chr(0b110000) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(8121 - 8010) + '\061' + '\060' + chr(0b10110 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + chr(0b10000 + 0o40), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xce'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1001 + 0o134))('\x75' + chr(116) + '\x66' + chr(943 - 898) + chr(2809 - 2753)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oplKV13IcAM_(wLRpq50dKkqG):
siD32uK9BQJZ = wLRpq50dKkqG.org.apache.spark.sql.api.python.PythonSQLUtils.listBuiltinFunctionInfos()
IxpfLxpjkLkf = []
for lN08wDbepOqQ in siD32uK9BQJZ:
AIvJRzLdDfgF = lN08wDbepOqQ.getName()
aKint0vHTfJS = lN08wDbepOqQ.getUsage()
aKint0vHTfJS = aKint0vHTfJS.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x94j\x83]R'), chr(8907 - 8807) + chr(101) + '\143' + '\x6f' + '\x64' + chr(0b1100101))(chr(0b10001 + 0o144) + chr(12668 - 12552) + chr(4869 - 4767) + chr(0b101101) + chr(0b111000)), AIvJRzLdDfgF) if aKint0vHTfJS is not None else aKint0vHTfJS
xafqLlk3kkUe(IxpfLxpjkLkf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xa2O\xa8pi'), chr(0b1000100 + 0o40) + chr(0b10101 + 0o120) + chr(9199 - 9100) + chr(0b1101000 + 0o7) + chr(2847 - 2747) + chr(101))('\x75' + '\x74' + chr(6156 - 6054) + chr(0b10100 + 0o31) + chr(0b1101 + 0o53)))(LPFDBcBDYafu(className=xafqLlk3kkUe(lN08wDbepOqQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\xb7K\x8erl\xf9K\x96\xe6|\xbd'), chr(0b100101 + 0o77) + chr(0b1011011 + 0o12) + chr(8306 - 8207) + chr(0b1001010 + 0o45) + chr(0b101000 + 0o74) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(0b111000)))(), name=AIvJRzLdDfgF, usage=aKint0vHTfJS, arguments=xafqLlk3kkUe(lN08wDbepOqQ.getArguments(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xb7O\xa1\x7fn\xef'), '\x64' + '\145' + '\143' + '\x6f' + chr(0b1001110 + 0o26) + '\145')(chr(0b1110101) + chr(10409 - 10293) + '\x66' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x94j\x83]R'), chr(0b10001 + 0o123) + chr(0b11 + 0o142) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(7347 - 7246))(chr(5225 - 5108) + chr(0b1110100) + chr(0b1100110) + chr(0b100010 + 0o13) + '\070'), AIvJRzLdDfgF), examples=xafqLlk3kkUe(lN08wDbepOqQ.getExamples(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xb7O\xa1\x7fn\xef'), '\x64' + '\145' + '\143' + '\x6f' + chr(5307 - 5207) + '\145')(chr(10382 - 10265) + chr(0b1110100) + '\146' + '\x2d' + chr(0b100000 + 0o30)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x94j\x83]R'), chr(257 - 157) + chr(101) + '\143' + '\157' + '\x64' + '\145')('\165' + '\164' + '\146' + chr(0b11100 + 0o21) + chr(1158 - 1102)), AIvJRzLdDfgF), note=xafqLlk3kkUe(lN08wDbepOqQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\xb7K\x83qy\xef'), '\x64' + chr(0b111011 + 0o52) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1100101 + 0o17) + chr(0b1001101 + 0o31) + '\x2d' + chr(0b101101 + 0o13)))(), since=xafqLlk3kkUe(lN08wDbepOqQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\xb7K\x9ewc\xe9]'), chr(0b110111 + 0o55) + chr(0b10011 + 0o122) + chr(99) + chr(111) + '\144' + '\145')(chr(4243 - 4126) + chr(116) + chr(102) + chr(45) + '\x38'))(), deprecated=xafqLlk3kkUe(lN08wDbepOqQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\xb7K\x89{}\xf8]\xbb\xe6e\xbd\xdc'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(4673 - 4562) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(2449 - 2333) + chr(102) + chr(854 - 809) + chr(0b111000)))()))
return vUlqIvNSaRMa(IxpfLxpjkLkf, key=lambda WVxHKyX45z_L: xafqLlk3kkUe(WVxHKyX45z_L, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x9bI\x87Lw\xc6\\\x9c\xe1v\x9e'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1001100 + 0o31))(chr(0b101110 + 0o107) + chr(0b1100011 + 0o21) + chr(0b1101 + 0o131) + '\055' + '\x38')))
|
apache/spark
|
sql/gen-sql-markdown.py
|
_make_pretty_usage
|
def _make_pretty_usage(usage):
"""
Makes the usage description pretty and returns a formatted string if `usage`
is not an empty string. Otherwise, returns None.
"""
if usage is not None and usage.strip() != "":
usage = "\n".join(map(lambda u: u.strip(), usage.split("\n")))
return "%s\n\n" % usage
|
python
|
def _make_pretty_usage(usage):
"""
Makes the usage description pretty and returns a formatted string if `usage`
is not an empty string. Otherwise, returns None.
"""
if usage is not None and usage.strip() != "":
usage = "\n".join(map(lambda u: u.strip(), usage.split("\n")))
return "%s\n\n" % usage
|
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")",
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"split",
"(",
"\"\\n\"",
")",
")",
")",
"return",
"\"%s\\n\\n\"",
"%",
"usage"
] |
Makes the usage description pretty and returns a formatted string if `usage`
is not an empty string. Otherwise, returns None.
|
[
"Makes",
"the",
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"description",
"pretty",
"and",
"returns",
"a",
"formatted",
"string",
"if",
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"is",
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"Otherwise",
"returns",
"None",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/sql/gen-sql-markdown.py#L50-L58
|
train
|
Makes the usage description pretty and returns a formatted string.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(9406 - 9295) + '\061' + chr(0b110110) + chr(0b101011 + 0o13), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o51) + '\065' + chr(0b10011 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\061' + chr(0b110110) + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(0b110001) + chr(54) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110000) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(2164 - 2116) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1782 - 1734) + '\x6f' + '\063' + '\x30' + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1641 - 1590) + chr(0b10111 + 0o37) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b110011) + chr(0b101110 + 0o10) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2325 - 2274) + '\060' + '\063', 0b1000), ehT0Px3KOsy9(chr(1300 - 1252) + chr(111) + chr(0b1000 + 0o53) + chr(121 - 69) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + '\x33' + '\x31' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + '\063' + chr(0b110011) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1001 + 0o50) + chr(0b10 + 0o61) + chr(0b110000), 54353 - 54345), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + '\060', 37564 - 37556), ehT0Px3KOsy9(chr(2048 - 2000) + chr(0b1101111) + '\061' + '\063' + chr(53), 45155 - 45147), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o34) + '\x34' + chr(0b10 + 0o65), 0o10), ehT0Px3KOsy9(chr(1863 - 1815) + chr(111) + '\063' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(52) + chr(374 - 324), 18574 - 18566), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\062' + chr(0b101111 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1010 + 0o145) + chr(51) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x35' + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\066' + chr(0b110001), 34911 - 34903), ehT0Px3KOsy9(chr(2058 - 2010) + chr(6075 - 5964) + chr(50) + chr(0b101000 + 0o17) + chr(0b110111), 63879 - 63871), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110001) + '\066', 24465 - 24457), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(48) + chr(0b100101 + 0o17), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(2133 - 2085) + '\x6f' + '\x33' + chr(360 - 305) + '\064', 0b1000), ehT0Px3KOsy9(chr(747 - 699) + '\x6f' + '\x33' + '\063' + chr(1896 - 1843), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(819 - 764) + '\062', 0o10), ehT0Px3KOsy9(chr(123 - 75) + chr(0b1101111) + chr(0b10101 + 0o36) + chr(1031 - 979) + chr(1184 - 1133), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110001) + chr(0b100010 + 0o25), 21486 - 21478), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b110000 + 0o77) + chr(0b110011) + chr(50) + chr(2471 - 2421), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(50) + chr(0b110001) + '\066', 43894 - 43886), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110101) + chr(0b1000 + 0o53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(961 - 910) + '\x36' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7911 - 7800) + chr(0b110011) + '\x36' + '\060', 32925 - 32917), ehT0Px3KOsy9(chr(0b110000) + chr(6742 - 6631) + '\061' + chr(0b11100 + 0o33) + chr(2040 - 1992), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(50) + chr(55) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1987 - 1939) + chr(0b1101111) + chr(50) + '\x32' + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2120 - 2072) + chr(0b1100001 + 0o16) + chr(182 - 129) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), chr(9818 - 9718) + chr(101) + chr(292 - 193) + chr(111) + chr(100) + chr(101))(chr(117) + chr(116) + '\146' + chr(45) + chr(0b1010 + 0o56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oLf6SdqQrO6s(aKint0vHTfJS):
if aKint0vHTfJS is not None and xafqLlk3kkUe(aKint0vHTfJS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\x9f\x05\x1d\xf6'), chr(0b1011101 + 0o7) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(9283 - 9182))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(0b100000 + 0o30)))() != xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + '\145' + chr(0b1100011) + '\157' + chr(0b11 + 0o141) + chr(0b100001 + 0o104))(chr(3130 - 3013) + chr(2739 - 2623) + chr(1778 - 1676) + '\x2d' + chr(56)):
aKint0vHTfJS = xafqLlk3kkUe(SXOLrMavuUCe(b'|'), chr(9341 - 9241) + chr(0b1000111 + 0o36) + '\x63' + chr(0b1000101 + 0o52) + chr(9504 - 9404) + '\145')(chr(3730 - 3613) + chr(0b1100101 + 0o17) + '\146' + chr(0b101101) + '\x38').join(abA97kOQKaLo(lambda SkdK71rGR8E7: SkdK71rGR8E7.strip(), aKint0vHTfJS.split(xafqLlk3kkUe(SXOLrMavuUCe(b'|'), chr(0b1100100) + chr(101) + '\143' + chr(111) + chr(0b101 + 0o137) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b100010 + 0o13) + chr(56)))))
return xafqLlk3kkUe(SXOLrMavuUCe(b'S\x98}~'), chr(100) + chr(101) + chr(0b1100011) + chr(0b10110 + 0o131) + chr(0b1100100) + chr(101))(chr(0b1000000 + 0o65) + chr(0b101111 + 0o105) + chr(0b1000100 + 0o42) + chr(0b11000 + 0o25) + '\x38') % aKint0vHTfJS
|
apache/spark
|
sql/gen-sql-markdown.py
|
_make_pretty_arguments
|
def _make_pretty_arguments(arguments):
"""
Makes the arguments description pretty and returns a formatted string if `arguments`
starts with the argument prefix. Otherwise, returns None.
Expected input:
Arguments:
* arg0 - ...
...
* arg0 - ...
...
Expected output:
**Arguments:**
* arg0 - ...
...
* arg0 - ...
...
"""
if arguments.startswith("\n Arguments:"):
arguments = "\n".join(map(lambda u: u[6:], arguments.strip().split("\n")[1:]))
return "**Arguments:**\n\n%s\n\n" % arguments
|
python
|
def _make_pretty_arguments(arguments):
"""
Makes the arguments description pretty and returns a formatted string if `arguments`
starts with the argument prefix. Otherwise, returns None.
Expected input:
Arguments:
* arg0 - ...
...
* arg0 - ...
...
Expected output:
**Arguments:**
* arg0 - ...
...
* arg0 - ...
...
"""
if arguments.startswith("\n Arguments:"):
arguments = "\n".join(map(lambda u: u[6:], arguments.strip().split("\n")[1:]))
return "**Arguments:**\n\n%s\n\n" % arguments
|
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"1",
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"]",
")",
")",
"return",
"\"**Arguments:**\\n\\n%s\\n\\n\"",
"%",
"arguments"
] |
Makes the arguments description pretty and returns a formatted string if `arguments`
starts with the argument prefix. Otherwise, returns None.
Expected input:
Arguments:
* arg0 - ...
...
* arg0 - ...
...
Expected output:
**Arguments:**
* arg0 - ...
...
* arg0 - ...
...
|
[
"Makes",
"the",
"arguments",
"description",
"pretty",
"and",
"returns",
"a",
"formatted",
"string",
"if",
"arguments",
"starts",
"with",
"the",
"argument",
"prefix",
".",
"Otherwise",
"returns",
"None",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/sql/gen-sql-markdown.py#L61-L86
|
train
|
Makes the arguments description pretty and returns a formatted string if arguments starts with the argument prefix. Otherwise returns None.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\064' + '\x33', 3506 - 3498), ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o53) + '\066' + chr(2384 - 2331), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7026 - 6915) + '\061' + chr(0b100000 + 0o25) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(1731 - 1683) + chr(0b1101111) + '\x31' + chr(50) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x34' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(289 - 240), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\061' + chr(0b110100), 1342 - 1334), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(50) + '\x30' + '\x37', 6849 - 6841), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\062' + chr(65 - 15) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(1775 - 1727), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b101001 + 0o11) + chr(0b11111 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(818 - 765) + chr(48), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(1365 - 1314) + chr(55) + chr(0b100111 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110100) + chr(0b110110), 19927 - 19919), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\061' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(377 - 329) + chr(0b1101111) + chr(2200 - 2151) + chr(0b110100) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(6220 - 6109) + '\x32' + chr(0b110110) + chr(51), 1825 - 1817), ehT0Px3KOsy9(chr(1460 - 1412) + chr(111) + chr(2236 - 2182) + '\x34', 60506 - 60498), ehT0Px3KOsy9('\060' + chr(3265 - 3154) + chr(0b110100) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(315 - 266) + chr(54), 8), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\062' + chr(55) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(6526 - 6415) + chr(0b110001) + chr(0b10001 + 0o37) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b110 + 0o151) + '\062' + chr(595 - 540) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(478 - 423) + '\064', 0o10), ehT0Px3KOsy9(chr(900 - 852) + '\157' + chr(0b110010) + '\062' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b111 + 0o53) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x31' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\066' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(970 - 922) + chr(0b100011 + 0o114) + chr(2176 - 2125) + '\066' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100011 + 0o24), 61718 - 61710), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(795 - 744) + chr(0b1001 + 0o50) + chr(0b100010 + 0o17), 33927 - 33919), ehT0Px3KOsy9(chr(2048 - 2000) + chr(10187 - 10076) + chr(50) + chr(2866 - 2811) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(49) + chr(0b110111) + chr(2555 - 2502), 29520 - 29512), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\063' + chr(1509 - 1461) + chr(0b1100 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(0b110011) + '\x35' + chr(0b100101 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11101 + 0o26) + '\061' + '\x37', 0o10), ehT0Px3KOsy9(chr(1656 - 1608) + chr(8142 - 8031) + chr(0b100111 + 0o14) + '\066', 19612 - 19604), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(50) + chr(0b11011 + 0o26) + chr(1378 - 1325), 62246 - 62238)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(3740 - 3629) + chr(53) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), chr(0b101011 + 0o71) + chr(7413 - 7312) + '\143' + chr(0b101001 + 0o106) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1011011 + 0o31) + chr(102) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZWor9VwruYGk(PSzOAxeRmbgw):
if xafqLlk3kkUe(PSzOAxeRmbgw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xc1\x0c\xf8$\x93v\xa5\xf3\xfb'), chr(1046 - 946) + chr(0b1010110 + 0o17) + '\x63' + '\157' + chr(0b1001100 + 0o30) + chr(0b11111 + 0o106))(chr(0b1110101) + '\164' + '\x66' + chr(869 - 824) + chr(900 - 844)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x95M\xaap\xa1s\xab\xf2\xfeMP\xa7[\xc4'), chr(9091 - 8991) + '\145' + chr(1743 - 1644) + chr(0b100000 + 0o117) + '\144' + chr(0b1001010 + 0o33))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b111 + 0o46) + chr(56))):
PSzOAxeRmbgw = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), '\x64' + chr(7347 - 7246) + '\143' + chr(8390 - 8279) + chr(112 - 12) + chr(0b1111 + 0o126))(chr(0b1110101) + chr(116) + chr(9739 - 9637) + chr(45) + '\x38').join(abA97kOQKaLo(lambda SkdK71rGR8E7: SkdK71rGR8E7[ehT0Px3KOsy9(chr(397 - 349) + chr(0b11011 + 0o124) + '\066', 0o10):], PSzOAxeRmbgw.strip().split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), '\144' + chr(101) + '\143' + chr(0b1000111 + 0o50) + '\144' + chr(4968 - 4867))(chr(117) + chr(116) + '\x66' + chr(1851 - 1806) + '\x38'))[ehT0Px3KOsy9('\x30' + chr(5473 - 5362) + '\x31', 8):]))
return xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x9f,\xf87\x95l\xa9\xe9\xe7[\x04\xf9\x02\xf4\xac\xab\x16\xb9>'), '\144' + chr(8236 - 8135) + chr(5077 - 4978) + chr(9029 - 8918) + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(56)) % PSzOAxeRmbgw
|
apache/spark
|
sql/gen-sql-markdown.py
|
_make_pretty_examples
|
def _make_pretty_examples(examples):
"""
Makes the examples description pretty and returns a formatted string if `examples`
starts with the example prefix. Otherwise, returns None.
Expected input:
Examples:
> SELECT ...;
...
> SELECT ...;
...
Expected output:
**Examples:**
```
> SELECT ...;
...
> SELECT ...;
...
```
"""
if examples.startswith("\n Examples:"):
examples = "\n".join(map(lambda u: u[6:], examples.strip().split("\n")[1:]))
return "**Examples:**\n\n```\n%s\n```\n\n" % examples
|
python
|
def _make_pretty_examples(examples):
"""
Makes the examples description pretty and returns a formatted string if `examples`
starts with the example prefix. Otherwise, returns None.
Expected input:
Examples:
> SELECT ...;
...
> SELECT ...;
...
Expected output:
**Examples:**
```
> SELECT ...;
...
> SELECT ...;
...
```
"""
if examples.startswith("\n Examples:"):
examples = "\n".join(map(lambda u: u[6:], examples.strip().split("\n")[1:]))
return "**Examples:**\n\n```\n%s\n```\n\n" % examples
|
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] |
Makes the examples description pretty and returns a formatted string if `examples`
starts with the example prefix. Otherwise, returns None.
Expected input:
Examples:
> SELECT ...;
...
> SELECT ...;
...
Expected output:
**Examples:**
```
> SELECT ...;
...
> SELECT ...;
...
```
|
[
"Makes",
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"description",
"pretty",
"and",
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"Otherwise",
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/sql/gen-sql-markdown.py#L89-L116
|
train
|
Makes the examples description pretty and returns a formatted string if examples starts with the example prefix. Otherwise returns None.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(2326 - 2272), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\065' + chr(0b110000 + 0o0), 12518 - 12510), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b110010) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1030 - 982) + chr(111) + '\x32' + chr(0b101001 + 0o7) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110000) + chr(830 - 779), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(689 - 639) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(10598 - 10487) + chr(0b1110 + 0o43) + chr(0b110010) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1825 - 1770) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8502 - 8391) + chr(67 - 14) + chr(51), 51553 - 51545), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b1110 + 0o51), 0b1000), ehT0Px3KOsy9(chr(975 - 927) + chr(111) + chr(0b110010) + '\067' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1019 - 971) + '\157' + chr(0b10111 + 0o32) + chr(795 - 746) + chr(0b110110), 37753 - 37745), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(50) + chr(810 - 757) + chr(0b10100 + 0o42), 0o10), ehT0Px3KOsy9(chr(1626 - 1578) + chr(0b1101111) + chr(0b110010) + '\x30' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8665 - 8554) + chr(2017 - 1968) + chr(53) + chr(0b1010 + 0o50), 22382 - 22374), ehT0Px3KOsy9('\x30' + chr(980 - 869) + '\x32' + '\x33' + '\x37', 4199 - 4191), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1650 - 1600) + '\x30' + chr(51), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b1111 + 0o47) + chr(50), 9616 - 9608), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\067' + chr(759 - 707), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + '\x31' + '\062' + chr(0b11101 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\066' + chr(52), 35920 - 35912), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(11256 - 11145) + '\064' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(133 - 82) + chr(1635 - 1580) + chr(50), 52926 - 52918), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\x33' + chr(0b110101) + chr(1094 - 1041), 0b1000), ehT0Px3KOsy9('\x30' + chr(10124 - 10013) + chr(555 - 505) + chr(1344 - 1294) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\066', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b0 + 0o62) + chr(0b100100 + 0o16) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b100 + 0o56) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1110 + 0o43) + '\x34' + chr(234 - 185), ord("\x08")), ehT0Px3KOsy9(chr(2295 - 2247) + chr(0b1000000 + 0o57) + chr(1853 - 1802) + chr(0b10001 + 0o44) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1433 - 1379) + chr(250 - 196), 41904 - 41896), ehT0Px3KOsy9(chr(379 - 331) + chr(3193 - 3082) + '\063' + '\x36' + '\x30', 53266 - 53258), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(49) + chr(54) + chr(1510 - 1456), 53653 - 53645), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b110011) + chr(0b101001 + 0o12) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9744 - 9633) + chr(0b110010) + '\062' + chr(0b110000), 39047 - 39039), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(55) + chr(0b1001 + 0o56), 0o10), ehT0Px3KOsy9(chr(633 - 585) + '\x6f' + '\062' + chr(0b10 + 0o57) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(5665 - 5554) + '\062' + '\063' + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(8267 - 8156) + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x00'), '\144' + '\145' + chr(0b1100011) + chr(0b1101010 + 0o5) + chr(7480 - 7380) + '\x65')(chr(0b110011 + 0o102) + chr(0b100011 + 0o121) + chr(1922 - 1820) + chr(0b101101) + chr(1968 - 1912)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VWJa5HpIRIlR(uyAR7jUe1VQb):
if xafqLlk3kkUe(uyAR7jUe1VQb, xafqLlk3kkUe(SXOLrMavuUCe(b']\\t\xf1\xf7v$?LC'), chr(0b1100100) + '\145' + chr(0b110 + 0o135) + chr(632 - 521) + '\144' + '\145')(chr(6801 - 6684) + chr(0b1110100) + chr(1985 - 1883) + '\x2d' + chr(2161 - 2105)))(xafqLlk3kkUe(SXOLrMavuUCe(b'$\x085\xa3\xa3@+7U[{\xd9=\x94'), chr(0b1100100) + chr(0b100000 + 0o105) + chr(0b1100011) + '\x6f' + '\144' + '\145')('\x75' + '\164' + chr(102) + '\x2d' + chr(56))):
uyAR7jUe1VQb = xafqLlk3kkUe(SXOLrMavuUCe(b'$'), chr(100) + chr(0b111110 + 0o47) + chr(99) + chr(111) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38').join(abA97kOQKaLo(lambda SkdK71rGR8E7: SkdK71rGR8E7[ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b110101 + 0o72) + '\x36', 0b1000):], uyAR7jUe1VQb.strip().split(xafqLlk3kkUe(SXOLrMavuUCe(b'$'), chr(0b1100100) + chr(0b1111 + 0o126) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(0b11111 + 0o16) + chr(56)))[ehT0Px3KOsy9('\x30' + chr(10643 - 10532) + '\061', ord("\x08")):]))
return xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\x02P\xfb\xe2h#:]X-\x96d\xa4\x8e\n\xff\xe3x\x19\x11Z\x14@\x9a\xe7\x9e'), '\144' + chr(603 - 502) + chr(0b11001 + 0o112) + chr(111) + chr(0b1100100) + '\145')(chr(603 - 486) + chr(0b1100001 + 0o23) + chr(3729 - 3627) + chr(0b101101) + chr(56)) % uyAR7jUe1VQb
|
apache/spark
|
sql/gen-sql-markdown.py
|
_make_pretty_note
|
def _make_pretty_note(note):
"""
Makes the note description pretty and returns a formatted string if `note` is not
an empty string. Otherwise, returns None.
Expected input:
...
Expected output:
**Note:**
...
"""
if note != "":
note = "\n".join(map(lambda n: n[4:], note.split("\n")))
return "**Note:**\n%s\n" % note
|
python
|
def _make_pretty_note(note):
"""
Makes the note description pretty and returns a formatted string if `note` is not
an empty string. Otherwise, returns None.
Expected input:
...
Expected output:
**Note:**
...
"""
if note != "":
note = "\n".join(map(lambda n: n[4:], note.split("\n")))
return "**Note:**\n%s\n" % note
|
[
"def",
"_make_pretty_note",
"(",
"note",
")",
":",
"if",
"note",
"!=",
"\"\"",
":",
"note",
"=",
"\"\\n\"",
".",
"join",
"(",
"map",
"(",
"lambda",
"n",
":",
"n",
"[",
"4",
":",
"]",
",",
"note",
".",
"split",
"(",
"\"\\n\"",
")",
")",
")",
"return",
"\"**Note:**\\n%s\\n\"",
"%",
"note"
] |
Makes the note description pretty and returns a formatted string if `note` is not
an empty string. Otherwise, returns None.
Expected input:
...
Expected output:
**Note:**
...
|
[
"Makes",
"the",
"note",
"description",
"pretty",
"and",
"returns",
"a",
"formatted",
"string",
"if",
"note",
"is",
"not",
"an",
"empty",
"string",
".",
"Otherwise",
"returns",
"None",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/sql/gen-sql-markdown.py#L119-L137
|
train
|
Makes the note description pretty and returns a formatted string.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1100010 + 0o15) + '\063' + chr(0b10001 + 0o37), 56747 - 56739), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(78 - 29) + chr(54) + chr(0b110011 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(0b11110 + 0o30) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3014 - 2903) + chr(0b11000 + 0o31) + chr(0b101101 + 0o6) + chr(2399 - 2350), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b110001) + '\x32' + '\061', 0b1000), ehT0Px3KOsy9(chr(639 - 591) + '\157' + chr(0b11001 + 0o30) + chr(0b110000) + chr(51), 57960 - 57952), ehT0Px3KOsy9(chr(1144 - 1096) + chr(0b1001110 + 0o41) + chr(0b110011) + '\064' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b10111 + 0o130) + '\062' + chr(0b110111) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1068 - 1017) + chr(0b11 + 0o57) + chr(0b101 + 0o54), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(430 - 319) + '\x31' + chr(0b110100) + chr(0b110001 + 0o4), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(0b10011 + 0o37) + '\x36' + '\x32', 47023 - 47015), ehT0Px3KOsy9(chr(888 - 840) + chr(12279 - 12168) + '\x33' + '\x33' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\063' + chr(0b110 + 0o54) + chr(51), 34486 - 34478), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1001 + 0o50) + chr(52) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(502 - 450) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(53) + chr(0b110110), 55662 - 55654), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(7467 - 7356) + '\x32' + chr(0b110100) + '\066', 56702 - 56694), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10000 + 0o43) + chr(1528 - 1476), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100101 + 0o14) + chr(0b10011 + 0o44) + chr(1159 - 1108), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + chr(0b110011) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1000 - 889) + '\x32' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(1117 - 1062) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\064', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(1174 - 1125), ord("\x08")), ehT0Px3KOsy9(chr(1145 - 1097) + '\157' + '\062' + chr(0b110010) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(4191 - 4080) + chr(1268 - 1218) + '\x31' + chr(1643 - 1590), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(50) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b110001) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1011 + 0o54) + chr(0b100000 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110101) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101100 + 0o3) + '\x33' + chr(0b11100 + 0o25) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(1477 - 1366) + '\062' + '\062' + chr(1670 - 1619), 34274 - 34266), ehT0Px3KOsy9('\060' + '\x6f' + chr(850 - 800) + chr(2604 - 2550) + chr(50), 8), ehT0Px3KOsy9(chr(1099 - 1051) + chr(0b1101100 + 0o3) + '\x31' + chr(0b101111 + 0o2) + '\x33', 57247 - 57239), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b101110 + 0o11) + chr(684 - 629), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(48) + '\x33', 8), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(0b11101 + 0o24) + chr(2734 - 2679), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101011 + 0o4) + chr(0b110 + 0o57) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'6'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b10100 + 0o120) + '\145')(chr(117) + chr(3104 - 2988) + chr(0b1100110) + chr(487 - 442) + chr(3033 - 2977)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vYdl0o7hc2W7(JrgNB8sdVZoc):
if JrgNB8sdVZoc != xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + '\145' + '\143' + chr(111) + chr(0b1100100) + chr(101))(chr(3978 - 3861) + chr(0b1110010 + 0o2) + '\x66' + chr(0b101100 + 0o1) + '\x38'):
JrgNB8sdVZoc = xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), '\144' + chr(0b100101 + 0o100) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b110001 + 0o65) + chr(0b101101) + chr(0b110100 + 0o4)).join(abA97kOQKaLo(lambda m1NkCryOw9Bx: m1NkCryOw9Bx[ehT0Px3KOsy9(chr(48) + chr(3485 - 3374) + '\064', 8):], JrgNB8sdVZoc.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1011000 + 0o35) + chr(10163 - 10047) + chr(0b101100 + 0o72) + chr(0b101101) + '\x38'))))
return xafqLlk3kkUe(SXOLrMavuUCe(b'2^}6%&\xda\x93\xfb\x0e@\xc1\xd2'), chr(100) + chr(8702 - 8601) + '\143' + '\157' + chr(100) + '\x65')(chr(117) + chr(12929 - 12813) + chr(102) + chr(45) + chr(0b111 + 0o61)) % JrgNB8sdVZoc
|
apache/spark
|
sql/gen-sql-markdown.py
|
_make_pretty_deprecated
|
def _make_pretty_deprecated(deprecated):
"""
Makes the deprecated description pretty and returns a formatted string if `deprecated`
is not an empty string. Otherwise, returns None.
Expected input:
...
Expected output:
**Deprecated:**
...
"""
if deprecated != "":
deprecated = "\n".join(map(lambda n: n[4:], deprecated.split("\n")))
return "**Deprecated:**\n%s\n" % deprecated
|
python
|
def _make_pretty_deprecated(deprecated):
"""
Makes the deprecated description pretty and returns a formatted string if `deprecated`
is not an empty string. Otherwise, returns None.
Expected input:
...
Expected output:
**Deprecated:**
...
"""
if deprecated != "":
deprecated = "\n".join(map(lambda n: n[4:], deprecated.split("\n")))
return "**Deprecated:**\n%s\n" % deprecated
|
[
"def",
"_make_pretty_deprecated",
"(",
"deprecated",
")",
":",
"if",
"deprecated",
"!=",
"\"\"",
":",
"deprecated",
"=",
"\"\\n\"",
".",
"join",
"(",
"map",
"(",
"lambda",
"n",
":",
"n",
"[",
"4",
":",
"]",
",",
"deprecated",
".",
"split",
"(",
"\"\\n\"",
")",
")",
")",
"return",
"\"**Deprecated:**\\n%s\\n\"",
"%",
"deprecated"
] |
Makes the deprecated description pretty and returns a formatted string if `deprecated`
is not an empty string. Otherwise, returns None.
Expected input:
...
Expected output:
**Deprecated:**
...
|
[
"Makes",
"the",
"deprecated",
"description",
"pretty",
"and",
"returns",
"a",
"formatted",
"string",
"if",
"deprecated",
"is",
"not",
"an",
"empty",
"string",
".",
"Otherwise",
"returns",
"None",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/sql/gen-sql-markdown.py#L140-L158
|
train
|
Makes the deprecated description pretty and returns a formatted string.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(0b11010 + 0o33) + chr(0b110000), 18448 - 18440), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100010 + 0o24) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(49) + chr(1357 - 1307) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1010101 + 0o32) + '\063' + chr(1422 - 1369) + '\x34', 25769 - 25761), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b1101 + 0o44) + chr(1342 - 1288) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(0b110001) + chr(54) + chr(50), 20859 - 20851), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(720 - 669) + chr(0b110101) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x36' + chr(578 - 530), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + chr(0b101000 + 0o15) + chr(2188 - 2139), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b110010) + chr(1636 - 1581) + chr(1006 - 958), 61542 - 61534), ehT0Px3KOsy9(chr(0b110000) + chr(466 - 355) + chr(0b110011) + '\x32' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(0b110001) + chr(0b110010) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4897 - 4786) + chr(893 - 841) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\062' + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b101011 + 0o7) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\067' + chr(0b110110), 63648 - 63640), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x32' + chr(54), 55195 - 55187), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(244 - 191) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b11001 + 0o34) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(1635 - 1585) + chr(0b110000) + chr(0b1101 + 0o46), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110100) + chr(244 - 190), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\062' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\062' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110011) + '\x35', 0o10), ehT0Px3KOsy9(chr(542 - 494) + chr(0b1100001 + 0o16) + chr(2378 - 2329) + '\061' + chr(2595 - 2540), 6563 - 6555), ehT0Px3KOsy9('\x30' + chr(10174 - 10063) + chr(51) + chr(0b10111 + 0o37) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\066' + chr(2045 - 1990), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110000 + 0o5) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(574 - 523) + chr(79 - 30) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(51) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(50) + chr(0b110101) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(2314 - 2264) + chr(51) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(2034 - 1986) + chr(111) + chr(800 - 750) + chr(1186 - 1136) + '\x33', 50229 - 50221), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b100011 + 0o20) + chr(178 - 126) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1275 - 1224) + chr(1208 - 1155) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b110110) + '\062', 16240 - 16232), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b1000 + 0o55) + chr(2085 - 2034), 0b1000), ehT0Px3KOsy9(chr(1088 - 1040) + chr(0b1101111) + '\x33' + chr(0b110000 + 0o5) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(53) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x06'), chr(0b1100100) + chr(0b1100101) + chr(0b1011111 + 0o4) + chr(111) + chr(100) + chr(7556 - 7455))(chr(0b1110101) + chr(0b111100 + 0o70) + '\x66' + chr(499 - 454) + chr(0b10 + 0o66)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XESk8enLzZ0A(JJtteNts3BW0):
if JJtteNts3BW0 != xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + chr(2510 - 2409) + chr(0b101101 + 0o66) + chr(0b1101111) + chr(8762 - 8662) + '\145')(chr(4119 - 4002) + chr(11360 - 11244) + chr(0b1100110) + '\055' + '\x38'):
JJtteNts3BW0 = xafqLlk3kkUe(SXOLrMavuUCe(b'"'), chr(0b1011100 + 0o10) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + chr(101))('\165' + '\164' + chr(102) + chr(0b11101 + 0o20) + chr(0b111000)).join(abA97kOQKaLo(lambda m1NkCryOw9Bx: m1NkCryOw9Bx[ehT0Px3KOsy9(chr(0b110000) + chr(1166 - 1055) + chr(0b1011 + 0o51), ord("\x08")):], JJtteNts3BW0.split(xafqLlk3kkUe(SXOLrMavuUCe(b'"'), chr(0b1100100) + '\x65' + '\x63' + '\157' + '\x64' + chr(0b1100101))('\x75' + '\164' + '\146' + chr(0b101101) + chr(0b111000)))))
return xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x1b\x14\x89\x01]\x17\x8d\xd1]\xdd\xb5h\n\x96\x9e\x9b%\xa6'), chr(6610 - 6510) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(6190 - 6073) + '\x74' + chr(5810 - 5708) + chr(0b10010 + 0o33) + chr(2809 - 2753)) % JJtteNts3BW0
|
apache/spark
|
sql/gen-sql-markdown.py
|
generate_sql_markdown
|
def generate_sql_markdown(jvm, path):
"""
Generates a markdown file after listing the function information. The output file
is created in `path`.
Expected output:
### NAME
USAGE
**Arguments:**
ARGUMENTS
**Examples:**
```
EXAMPLES
```
**Note:**
NOTE
**Since:** SINCE
**Deprecated:**
DEPRECATED
<br/>
"""
with open(path, 'w') as mdfile:
for info in _list_function_infos(jvm):
name = info.name
usage = _make_pretty_usage(info.usage)
arguments = _make_pretty_arguments(info.arguments)
examples = _make_pretty_examples(info.examples)
note = _make_pretty_note(info.note)
since = info.since
deprecated = _make_pretty_deprecated(info.deprecated)
mdfile.write("### %s\n\n" % name)
if usage is not None:
mdfile.write("%s\n\n" % usage.strip())
if arguments is not None:
mdfile.write(arguments)
if examples is not None:
mdfile.write(examples)
if note is not None:
mdfile.write(note)
if since is not None and since != "":
mdfile.write("**Since:** %s\n\n" % since.strip())
if deprecated is not None:
mdfile.write(deprecated)
mdfile.write("<br/>\n\n")
|
python
|
def generate_sql_markdown(jvm, path):
"""
Generates a markdown file after listing the function information. The output file
is created in `path`.
Expected output:
### NAME
USAGE
**Arguments:**
ARGUMENTS
**Examples:**
```
EXAMPLES
```
**Note:**
NOTE
**Since:** SINCE
**Deprecated:**
DEPRECATED
<br/>
"""
with open(path, 'w') as mdfile:
for info in _list_function_infos(jvm):
name = info.name
usage = _make_pretty_usage(info.usage)
arguments = _make_pretty_arguments(info.arguments)
examples = _make_pretty_examples(info.examples)
note = _make_pretty_note(info.note)
since = info.since
deprecated = _make_pretty_deprecated(info.deprecated)
mdfile.write("### %s\n\n" % name)
if usage is not None:
mdfile.write("%s\n\n" % usage.strip())
if arguments is not None:
mdfile.write(arguments)
if examples is not None:
mdfile.write(examples)
if note is not None:
mdfile.write(note)
if since is not None and since != "":
mdfile.write("**Since:** %s\n\n" % since.strip())
if deprecated is not None:
mdfile.write(deprecated)
mdfile.write("<br/>\n\n")
|
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] |
Generates a markdown file after listing the function information. The output file
is created in `path`.
Expected output:
### NAME
USAGE
**Arguments:**
ARGUMENTS
**Examples:**
```
EXAMPLES
```
**Note:**
NOTE
**Since:** SINCE
**Deprecated:**
DEPRECATED
<br/>
|
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/sql/gen-sql-markdown.py#L161-L218
|
train
|
Generates a markdown file for the specified applet.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(908 - 860) + '\x6f' + '\061' + chr(52) + chr(1690 - 1639), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(55) + chr(1254 - 1203), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(0b110000 + 0o4) + chr(1464 - 1416), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(0b101001 + 0o11) + '\066' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o26) + '\065' + chr(1130 - 1076), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(49) + '\067', 14353 - 14345), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10110 + 0o34) + chr(0b110000) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(169 - 121) + '\x6f' + chr(607 - 557) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x32' + '\x37', 61759 - 61751), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\067', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\061', 0b1000), ehT0Px3KOsy9(chr(2200 - 2152) + chr(6509 - 6398) + '\x32' + chr(50) + chr(2742 - 2688), 0b1000), ehT0Px3KOsy9(chr(379 - 331) + chr(111) + chr(0b10 + 0o57) + chr(0b110100) + '\066', 29788 - 29780), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b11111 + 0o27), 30745 - 30737), ehT0Px3KOsy9(chr(277 - 229) + chr(0b1101111) + chr(1365 - 1316) + '\066' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11100 + 0o32), 50546 - 50538), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110 + 0o54) + '\064' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(54) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1958 - 1909) + '\x37' + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(2445 - 2334) + chr(0b110001) + chr(0b110000) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(50) + '\x37' + chr(0b11010 + 0o26), 0b1000), ehT0Px3KOsy9(chr(504 - 456) + '\157' + chr(1697 - 1648) + chr(0b110 + 0o56) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1402 - 1354) + chr(111) + '\061' + chr(1809 - 1761) + chr(2308 - 2254), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\063' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1221 - 1171) + chr(50) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8522 - 8411) + chr(0b11000 + 0o32) + '\061' + '\067', 14657 - 14649), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\062' + chr(0b100011 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b110011) + chr(54) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(1498 - 1446) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101010 + 0o11) + '\x36' + chr(0b100011 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b10101 + 0o37) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(0b10010 + 0o37) + chr(0b1101 + 0o47) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b10001 + 0o42) + '\062' + chr(2333 - 2278), 0o10), ehT0Px3KOsy9(chr(766 - 718) + chr(0b111 + 0o150) + chr(49) + chr(924 - 869) + chr(218 - 164), ord("\x08")), ehT0Px3KOsy9(chr(1572 - 1524) + chr(0b1010010 + 0o35) + '\x31' + chr(0b110010) + chr(49), 55597 - 55589), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b101110 + 0o5) + chr(49), 59276 - 59268), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(145 - 96) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x34' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110010) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1011101 + 0o22) + chr(50) + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(1046 - 998), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'M'), chr(0b1100100) + '\x65' + chr(0b110111 + 0o54) + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1000101 + 0o57) + '\146' + chr(0b101001 + 0o4) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ttQ8BAxD3khb(wLRpq50dKkqG, EaCjyhZptSer):
with _fwkIVCGgtAN(EaCjyhZptSer, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14'), chr(0b1100100) + chr(101) + '\143' + chr(4969 - 4858) + chr(100) + chr(0b110011 + 0o62))(chr(117) + chr(11383 - 11267) + '\146' + chr(0b101101) + chr(56))) as L7f2JeVyGlX1:
for S7Hxucg7jlZk in oplKV13IcAM_(wLRpq50dKkqG):
AIvJRzLdDfgF = S7Hxucg7jlZk.AIvJRzLdDfgF
aKint0vHTfJS = oLf6SdqQrO6s(S7Hxucg7jlZk.usage)
PSzOAxeRmbgw = ZWor9VwruYGk(S7Hxucg7jlZk.arguments)
uyAR7jUe1VQb = VWJa5HpIRIlR(S7Hxucg7jlZk.examples)
JrgNB8sdVZoc = vYdl0o7hc2W7(S7Hxucg7jlZk.note)
Bc_DP9uKI3IB = S7Hxucg7jlZk.since
JJtteNts3BW0 = XESk8enLzZ0A(S7Hxucg7jlZk.deprecated)
xafqLlk3kkUe(L7f2JeVyGlX1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\tI\xc7\x8b'), chr(1908 - 1808) + chr(101) + chr(0b10000 + 0o123) + '\x6f' + chr(4249 - 4149) + chr(0b1001101 + 0o30))(chr(0b101010 + 0o113) + '\164' + chr(0b1011011 + 0o13) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'@X\x03\x93\xcb|\x8b\x1a'), chr(1430 - 1330) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(101))('\x75' + '\x74' + '\x66' + chr(0b101101) + chr(80 - 24)) % AIvJRzLdDfgF)
if aKint0vHTfJS is not None:
xafqLlk3kkUe(L7f2JeVyGlX1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\tI\xc7\x8b'), chr(100) + chr(1299 - 1198) + '\143' + chr(1243 - 1132) + chr(0b1100100) + chr(1763 - 1662))('\x75' + chr(5485 - 5369) + chr(0b1100100 + 0o2) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'F\x08*\xb9'), chr(0b1010010 + 0o22) + chr(5939 - 5838) + chr(99) + chr(0b1001010 + 0o45) + '\144' + chr(101))(chr(6710 - 6593) + chr(0b1010110 + 0o36) + '\146' + chr(0b101101) + chr(0b111000)) % xafqLlk3kkUe(aKint0vHTfJS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\x0fR\xda\x9e'), chr(172 - 72) + chr(0b1 + 0o144) + '\143' + chr(111) + chr(2689 - 2589) + chr(101))(chr(0b11011 + 0o132) + '\x74' + chr(5355 - 5253) + '\x2d' + chr(0b1011 + 0o55)))())
if PSzOAxeRmbgw is not None:
xafqLlk3kkUe(L7f2JeVyGlX1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\tI\xc7\x8b'), chr(0b1100100) + chr(2878 - 2777) + chr(99) + chr(0b1000 + 0o147) + '\x64' + '\x65')('\165' + chr(0b1110100) + chr(0b1100110) + chr(1599 - 1554) + chr(0b110110 + 0o2)))(PSzOAxeRmbgw)
if uyAR7jUe1VQb is not None:
xafqLlk3kkUe(L7f2JeVyGlX1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\tI\xc7\x8b'), chr(0b1111 + 0o125) + '\x65' + '\143' + chr(111) + '\144' + '\145')(chr(0b1110101) + chr(3231 - 3115) + '\146' + chr(0b100110 + 0o7) + chr(56)))(uyAR7jUe1VQb)
if JrgNB8sdVZoc is not None:
xafqLlk3kkUe(L7f2JeVyGlX1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\tI\xc7\x8b'), '\144' + '\x65' + chr(0b1100011) + chr(4700 - 4589) + chr(0b1011001 + 0o13) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + chr(56)))(JrgNB8sdVZoc)
if Bc_DP9uKI3IB is not None and Bc_DP9uKI3IB != xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + chr(6141 - 6040) + chr(4644 - 4545) + chr(0b11 + 0o154) + '\144' + chr(9986 - 9885))(chr(117) + chr(6135 - 6019) + '\x66' + chr(45) + chr(56)):
xafqLlk3kkUe(L7f2JeVyGlX1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\tI\xc7\x8b'), chr(0b100001 + 0o103) + chr(0b1100101) + '\x63' + chr(1271 - 1160) + chr(0b1100100) + chr(101))(chr(0b11101 + 0o130) + chr(8379 - 8263) + chr(7845 - 7743) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'IQs\xda\x80l\xe4*}%)\xb3\x15\x14x'), chr(100) + chr(101) + chr(99) + chr(6784 - 6673) + '\144' + chr(101))('\165' + chr(0b1010111 + 0o35) + chr(0b1100110) + '\055' + chr(129 - 73)) % xafqLlk3kkUe(Bc_DP9uKI3IB, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\x0fR\xda\x9e'), chr(1261 - 1161) + chr(10050 - 9949) + chr(0b1011011 + 0o10) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + chr(1106 - 1061) + chr(56)))())
if JJtteNts3BW0 is not None:
xafqLlk3kkUe(L7f2JeVyGlX1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\tI\xc7\x8b'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(0b1100101 + 0o20) + chr(0b1000100 + 0o60) + '\x66' + chr(0b101101) + chr(56)))(JJtteNts3BW0)
xafqLlk3kkUe(L7f2JeVyGlX1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\tI\xc7\x8b'), chr(100) + '\x65' + '\x63' + chr(0b1000011 + 0o54) + chr(0b1000101 + 0o37) + chr(8032 - 7931))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(1153 - 1108) + chr(1217 - 1161)))(xafqLlk3kkUe(SXOLrMavuUCe(b'_\x19R\x9c\xd0\x05\x8b'), '\x64' + chr(4287 - 4186) + '\x63' + chr(5607 - 5496) + chr(100) + chr(0b1100101))(chr(4242 - 4125) + chr(12371 - 12255) + chr(0b1000001 + 0o45) + chr(0b101101) + '\x38'))
|
apache/spark
|
python/pyspark/mllib/classification.py
|
LogisticRegressionModel.predict
|
def predict(self, x):
"""
Predict values for a single data point or an RDD of points
using the model trained.
"""
if isinstance(x, RDD):
return x.map(lambda v: self.predict(v))
x = _convert_to_vector(x)
if self.numClasses == 2:
margin = self.weights.dot(x) + self._intercept
if margin > 0:
prob = 1 / (1 + exp(-margin))
else:
exp_margin = exp(margin)
prob = exp_margin / (1 + exp_margin)
if self._threshold is None:
return prob
else:
return 1 if prob > self._threshold else 0
else:
best_class = 0
max_margin = 0.0
if x.size + 1 == self._dataWithBiasSize:
for i in range(0, self._numClasses - 1):
margin = x.dot(self._weightsMatrix[i][0:x.size]) + \
self._weightsMatrix[i][x.size]
if margin > max_margin:
max_margin = margin
best_class = i + 1
else:
for i in range(0, self._numClasses - 1):
margin = x.dot(self._weightsMatrix[i])
if margin > max_margin:
max_margin = margin
best_class = i + 1
return best_class
|
python
|
def predict(self, x):
"""
Predict values for a single data point or an RDD of points
using the model trained.
"""
if isinstance(x, RDD):
return x.map(lambda v: self.predict(v))
x = _convert_to_vector(x)
if self.numClasses == 2:
margin = self.weights.dot(x) + self._intercept
if margin > 0:
prob = 1 / (1 + exp(-margin))
else:
exp_margin = exp(margin)
prob = exp_margin / (1 + exp_margin)
if self._threshold is None:
return prob
else:
return 1 if prob > self._threshold else 0
else:
best_class = 0
max_margin = 0.0
if x.size + 1 == self._dataWithBiasSize:
for i in range(0, self._numClasses - 1):
margin = x.dot(self._weightsMatrix[i][0:x.size]) + \
self._weightsMatrix[i][x.size]
if margin > max_margin:
max_margin = margin
best_class = i + 1
else:
for i in range(0, self._numClasses - 1):
margin = x.dot(self._weightsMatrix[i])
if margin > max_margin:
max_margin = margin
best_class = i + 1
return best_class
|
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] |
Predict values for a single data point or an RDD of points
using the model trained.
|
[
"Predict",
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] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/mllib/classification.py#L195-L231
|
train
|
Predict the class of a single data point or an RDD of points.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(11255 - 11144) + '\x32' + chr(0b110100) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(1642 - 1587) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(1604 - 1554) + '\064', 2526 - 2518), ehT0Px3KOsy9('\x30' + chr(9329 - 9218) + chr(51) + chr(327 - 275) + chr(0b110000), 43792 - 43784), ehT0Px3KOsy9('\x30' + chr(111) + chr(639 - 590) + chr(0b101110 + 0o11) + chr(0b1110 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1000011 + 0o54) + '\063' + '\x33', 0b1000), ehT0Px3KOsy9(chr(1179 - 1131) + '\157' + chr(517 - 466) + chr(51) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(50) + chr(0b110100 + 0o1) + chr(52), 26196 - 26188), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\062' + chr(0b110000 + 0o3) + chr(0b1011 + 0o45), 50110 - 50102), ehT0Px3KOsy9('\060' + chr(3366 - 3255) + '\064' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(52) + chr(0b10101 + 0o41), 29039 - 29031), ehT0Px3KOsy9(chr(0b110000) + chr(635 - 524) + chr(2111 - 2060) + chr(0b101 + 0o60) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\060' + chr(1036 - 988), 53989 - 53981), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x32' + chr(2151 - 2098), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11946 - 11835) + chr(51) + chr(0b110111) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\061' + '\065' + chr(0b110000 + 0o1), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2405 - 2353) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + '\x31' + chr(0b100011 + 0o21) + chr(954 - 903), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110011) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o50) + chr(49) + '\060', 8116 - 8108), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1010001 + 0o36) + '\063' + chr(52) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(2283 - 2229) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(163 - 52) + chr(1072 - 1018), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + '\061' + chr(0b10100 + 0o41) + chr(49), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(0b110110), 17320 - 17312), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(1033 - 983) + '\067', 0b1000), ehT0Px3KOsy9(chr(2027 - 1979) + chr(4407 - 4296) + chr(1151 - 1101) + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b11010 + 0o125) + '\x33' + chr(152 - 98) + chr(1891 - 1836), 27841 - 27833), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(187 - 137) + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x34' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(50) + chr(55), 8), ehT0Px3KOsy9(chr(149 - 101) + '\x6f' + chr(0b1111 + 0o44) + chr(1103 - 1048) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\062' + chr(2285 - 2235), 0b1000), ehT0Px3KOsy9(chr(376 - 328) + chr(0b1101111) + chr(0b110001) + '\x35' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110000) + '\060', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\064' + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(0b110010) + chr(1173 - 1122) + chr(0b101101 + 0o12), 51054 - 51046)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11271 - 11160) + chr(2537 - 2484) + chr(0b110 + 0o52), 33317 - 33309)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), chr(4540 - 4440) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1110 + 0o126) + chr(101))(chr(0b1010001 + 0o44) + '\164' + chr(1930 - 1828) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def POyImYQwg5VB(oVre8I6UXc3b, OeWW0F1dBPRQ):
if PlSM16l2KDPD(OeWW0F1dBPRQ, uXEA_h84GXBu):
return xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xd8\xa4'), chr(100) + chr(0b1001100 + 0o31) + chr(8752 - 8653) + chr(111) + chr(2883 - 2783) + chr(5951 - 5850))('\165' + chr(116) + chr(102) + chr(0b1010 + 0o43) + '\070'))(lambda cMbll0QYhULo: xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xcb\xb1\x84\x10x\xaf'), chr(0b1011111 + 0o5) + chr(101) + '\143' + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b111101 + 0o67) + chr(0b1100110) + '\055' + '\x38'))(cMbll0QYhULo))
OeWW0F1dBPRQ = x7amn4JPeJQ9(OeWW0F1dBPRQ)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xcc\xb9\xa3\x15z\xa8\xdf\xfdR'), '\144' + chr(6573 - 6472) + '\x63' + chr(0b1101111) + '\144' + chr(0b100011 + 0o102))(chr(0b1100110 + 0o17) + '\x74' + chr(6234 - 6132) + chr(0b101101) + chr(0b11010 + 0o36))) == ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50), 0b1000):
LamJqD0qqhTX = oVre8I6UXc3b.weights.dot(OeWW0F1dBPRQ) + oVre8I6UXc3b._intercept
if LamJqD0qqhTX > ehT0Px3KOsy9(chr(48) + '\157' + chr(92 - 44), 0b1000):
EmFjc7khMaAc = ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001), 0o10) / (ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 8) + quvessij56om(-LamJqD0qqhTX))
else:
VcEwi4J23UqZ = quvessij56om(LamJqD0qqhTX)
EmFjc7khMaAc = VcEwi4J23UqZ / (ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8) + VcEwi4J23UqZ)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xcd\xbc\x92\x1ch\xb3\xc3\xf4E'), chr(100) + '\x65' + '\x63' + '\x6f' + '\144' + chr(453 - 352))(chr(0b1010111 + 0o36) + chr(0b1110100) + chr(0b10010 + 0o124) + chr(0b101101) + '\x38')) is None:
return EmFjc7khMaAc
else:
return ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8) if EmFjc7khMaAc > xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xcd\xbc\x92\x1ch\xb3\xc3\xf4E'), chr(6316 - 6216) + '\x65' + chr(6133 - 6034) + chr(4486 - 4375) + chr(0b111001 + 0o53) + chr(0b1100101))('\x75' + chr(4797 - 4681) + chr(2772 - 2670) + '\x2d' + chr(56))) else ehT0Px3KOsy9(chr(598 - 550) + chr(4019 - 3908) + chr(48), 8)
else:
b6O7u15Ba9ZV = ehT0Px3KOsy9(chr(1329 - 1281) + chr(0b1101111) + chr(48), 8)
sTzeLDJPJTM_ = 0.0
if xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xd0\xae\x85'), chr(100) + chr(0b111000 + 0o55) + '\x63' + chr(111) + '\x64' + '\145')(chr(5468 - 5351) + '\x74' + chr(6421 - 6319) + chr(45) + chr(0b111000))) + ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8) == xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdd\xb5\x94\x18L\xb2\xd8\xf0cO\x89\xf3\x06\x95\x13Y'), chr(100) + chr(9539 - 9438) + chr(0b1100011) + chr(3482 - 3371) + chr(0b1001011 + 0o31) + chr(0b1100101))(chr(0b1110101) + chr(6138 - 6022) + '\146' + '\x2d' + chr(0b1100 + 0o54))):
for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9('\060' + '\157' + chr(0b101101 + 0o3), 8), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xd7\xa1\x8d:w\xba\xdf\xebDU'), chr(9668 - 9568) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(8162 - 8061))(chr(0b101011 + 0o112) + chr(6963 - 6847) + chr(102) + chr(655 - 610) + chr(0b111000 + 0o0))) - ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + '\x31', 8)):
LamJqD0qqhTX = OeWW0F1dBPRQ.dot(oVre8I6UXc3b._weightsMatrix[WVxHKyX45z_L][ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8):OeWW0F1dBPRQ.size]) + oVre8I6UXc3b._weightsMatrix[WVxHKyX45z_L][OeWW0F1dBPRQ.size]
if LamJqD0qqhTX > sTzeLDJPJTM_:
sTzeLDJPJTM_ = LamJqD0qqhTX
b6O7u15Ba9ZV = WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + '\157' + '\061', 8)
else:
for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b110000) + chr(4503 - 4392) + '\x30', 8), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xd7\xa1\x8d:w\xba\xdf\xebDU'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(0b11101 + 0o110))(chr(6321 - 6204) + chr(1139 - 1023) + chr(0b1100110) + chr(45) + '\070')) - ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(1932 - 1883), 8)):
LamJqD0qqhTX = OeWW0F1dBPRQ.dot(oVre8I6UXc3b._weightsMatrix[WVxHKyX45z_L])
if LamJqD0qqhTX > sTzeLDJPJTM_:
sTzeLDJPJTM_ = LamJqD0qqhTX
b6O7u15Ba9ZV = WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 8)
return b6O7u15Ba9ZV
|
apache/spark
|
python/pyspark/mllib/classification.py
|
LogisticRegressionModel.save
|
def save(self, sc, path):
"""
Save this model to the given path.
"""
java_model = sc._jvm.org.apache.spark.mllib.classification.LogisticRegressionModel(
_py2java(sc, self._coeff), self.intercept, self.numFeatures, self.numClasses)
java_model.save(sc._jsc.sc(), path)
|
python
|
def save(self, sc, path):
"""
Save this model to the given path.
"""
java_model = sc._jvm.org.apache.spark.mllib.classification.LogisticRegressionModel(
_py2java(sc, self._coeff), self.intercept, self.numFeatures, self.numClasses)
java_model.save(sc._jsc.sc(), path)
|
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Save this model to the given path.
|
[
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"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/mllib/classification.py#L234-L240
|
train
|
Save this logistic regression model to the given path.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10111 + 0o35) + '\067', 43292 - 43284), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(48) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4623 - 4512) + chr(0b11011 + 0o27) + '\x36' + chr(50), 35719 - 35711), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(52) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(2485 - 2435) + chr(639 - 588), 27080 - 27072), ehT0Px3KOsy9(chr(48) + chr(12119 - 12008) + chr(2288 - 2237) + chr(48) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(662 - 614) + chr(0b1101111) + '\x31' + '\x36' + '\060', 28695 - 28687), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\060' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2785 - 2674) + '\062' + chr(0b110111) + chr(0b110110), 7620 - 7612), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + chr(0b1100 + 0o46) + chr(0b110001) + chr(1550 - 1498), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(8657 - 8546) + chr(2270 - 2219) + chr(0b10100 + 0o43) + chr(2542 - 2489), 39613 - 39605), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + chr(1686 - 1636) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(2190 - 2138) + '\064', 240 - 232), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1000 + 0o51) + chr(0b1 + 0o66) + chr(51), 12792 - 12784), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\061' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(54) + chr(0b101111 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101110 + 0o1) + chr(0b10110 + 0o37) + chr(0b1110 + 0o44), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101000 + 0o12) + chr(0b110010) + chr(53), 0b1000), ehT0Px3KOsy9(chr(241 - 193) + chr(0b1101111) + chr(0b1010 + 0o50) + chr(0b10100 + 0o43) + '\067', 9165 - 9157), ehT0Px3KOsy9(chr(1219 - 1171) + chr(11779 - 11668) + '\061' + chr(54) + chr(497 - 445), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b11001 + 0o34) + chr(0b110100), 31910 - 31902), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b101 + 0o57) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1289 - 1238) + '\x33' + chr(0b10111 + 0o37), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10303 - 10192) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(5345 - 5234) + '\x32' + chr(52) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1110 + 0o45) + '\063' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1392 - 1344) + '\x6f' + chr(0b110100) + chr(0b11100 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(92 - 42) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1327 - 1278) + chr(0b11100 + 0o27) + chr(0b10 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2213 - 2164) + chr(0b110000) + '\060', 8), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(1341 - 1291) + '\x36' + chr(475 - 421), 14448 - 14440), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1941 - 1891) + chr(0b110100) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(6695 - 6584) + chr(719 - 669) + chr(53) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(1229 - 1174) + chr(0b100101 + 0o16), 6542 - 6534), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(51) + chr(0b101010 + 0o11) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x34', 43132 - 43124), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(50) + chr(0b110000) + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), chr(0b101010 + 0o72) + chr(101) + chr(8977 - 8878) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(982 - 937) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oqBodScAtZiv(oVre8I6UXc3b, GlVzlZeuU9PW, EaCjyhZptSer):
zMaOS2dIJtHC = GlVzlZeuU9PW._jvm.org.apache.spark.mllib.classification.LogisticRegressionModel(L81_IucBPKo8(GlVzlZeuU9PW, oVre8I6UXc3b._coeff), oVre8I6UXc3b.intercept, oVre8I6UXc3b.numFeatures, oVre8I6UXc3b.numClasses)
xafqLlk3kkUe(zMaOS2dIJtHC, xafqLlk3kkUe(SXOLrMavuUCe(b'T!\xc4\xc4'), chr(7864 - 7764) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + chr(0b0 + 0o164) + chr(210 - 108) + chr(45) + '\070'))(xafqLlk3kkUe(GlVzlZeuU9PW._jsc, xafqLlk3kkUe(SXOLrMavuUCe(b'T#'), chr(0b1100100) + '\x65' + chr(8224 - 8125) + chr(111) + '\x64' + '\x65')(chr(117) + chr(116) + chr(0b10110 + 0o120) + chr(45) + chr(2601 - 2545)))(), EaCjyhZptSer)
|
apache/spark
|
python/pyspark/mllib/classification.py
|
LogisticRegressionWithLBFGS.train
|
def train(cls, data, iterations=100, initialWeights=None, regParam=0.0, regType="l2",
intercept=False, corrections=10, tolerance=1e-6, validateData=True, numClasses=2):
"""
Train a logistic regression model on the given data.
:param data:
The training data, an RDD of LabeledPoint.
:param iterations:
The number of iterations.
(default: 100)
:param initialWeights:
The initial weights.
(default: None)
:param regParam:
The regularizer parameter.
(default: 0.0)
:param regType:
The type of regularizer used for training our model.
Supported values:
- "l1" for using L1 regularization
- "l2" for using L2 regularization (default)
- None for no regularization
:param intercept:
Boolean parameter which indicates the use or not of the
augmented representation for training data (i.e., whether bias
features are activated or not).
(default: False)
:param corrections:
The number of corrections used in the LBFGS update.
If a known updater is used for binary classification,
it calls the ml implementation and this parameter will
have no effect. (default: 10)
:param tolerance:
The convergence tolerance of iterations for L-BFGS.
(default: 1e-6)
:param validateData:
Boolean parameter which indicates if the algorithm should
validate data before training.
(default: True)
:param numClasses:
The number of classes (i.e., outcomes) a label can take in
Multinomial Logistic Regression.
(default: 2)
>>> data = [
... LabeledPoint(0.0, [0.0, 1.0]),
... LabeledPoint(1.0, [1.0, 0.0]),
... ]
>>> lrm = LogisticRegressionWithLBFGS.train(sc.parallelize(data), iterations=10)
>>> lrm.predict([1.0, 0.0])
1
>>> lrm.predict([0.0, 1.0])
0
"""
def train(rdd, i):
return callMLlibFunc("trainLogisticRegressionModelWithLBFGS", rdd, int(iterations), i,
float(regParam), regType, bool(intercept), int(corrections),
float(tolerance), bool(validateData), int(numClasses))
if initialWeights is None:
if numClasses == 2:
initialWeights = [0.0] * len(data.first().features)
else:
if intercept:
initialWeights = [0.0] * (len(data.first().features) + 1) * (numClasses - 1)
else:
initialWeights = [0.0] * len(data.first().features) * (numClasses - 1)
return _regression_train_wrapper(train, LogisticRegressionModel, data, initialWeights)
|
python
|
def train(cls, data, iterations=100, initialWeights=None, regParam=0.0, regType="l2",
intercept=False, corrections=10, tolerance=1e-6, validateData=True, numClasses=2):
"""
Train a logistic regression model on the given data.
:param data:
The training data, an RDD of LabeledPoint.
:param iterations:
The number of iterations.
(default: 100)
:param initialWeights:
The initial weights.
(default: None)
:param regParam:
The regularizer parameter.
(default: 0.0)
:param regType:
The type of regularizer used for training our model.
Supported values:
- "l1" for using L1 regularization
- "l2" for using L2 regularization (default)
- None for no regularization
:param intercept:
Boolean parameter which indicates the use or not of the
augmented representation for training data (i.e., whether bias
features are activated or not).
(default: False)
:param corrections:
The number of corrections used in the LBFGS update.
If a known updater is used for binary classification,
it calls the ml implementation and this parameter will
have no effect. (default: 10)
:param tolerance:
The convergence tolerance of iterations for L-BFGS.
(default: 1e-6)
:param validateData:
Boolean parameter which indicates if the algorithm should
validate data before training.
(default: True)
:param numClasses:
The number of classes (i.e., outcomes) a label can take in
Multinomial Logistic Regression.
(default: 2)
>>> data = [
... LabeledPoint(0.0, [0.0, 1.0]),
... LabeledPoint(1.0, [1.0, 0.0]),
... ]
>>> lrm = LogisticRegressionWithLBFGS.train(sc.parallelize(data), iterations=10)
>>> lrm.predict([1.0, 0.0])
1
>>> lrm.predict([0.0, 1.0])
0
"""
def train(rdd, i):
return callMLlibFunc("trainLogisticRegressionModelWithLBFGS", rdd, int(iterations), i,
float(regParam), regType, bool(intercept), int(corrections),
float(tolerance), bool(validateData), int(numClasses))
if initialWeights is None:
if numClasses == 2:
initialWeights = [0.0] * len(data.first().features)
else:
if intercept:
initialWeights = [0.0] * (len(data.first().features) + 1) * (numClasses - 1)
else:
initialWeights = [0.0] * len(data.first().features) * (numClasses - 1)
return _regression_train_wrapper(train, LogisticRegressionModel, data, initialWeights)
|
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] |
Train a logistic regression model on the given data.
:param data:
The training data, an RDD of LabeledPoint.
:param iterations:
The number of iterations.
(default: 100)
:param initialWeights:
The initial weights.
(default: None)
:param regParam:
The regularizer parameter.
(default: 0.0)
:param regType:
The type of regularizer used for training our model.
Supported values:
- "l1" for using L1 regularization
- "l2" for using L2 regularization (default)
- None for no regularization
:param intercept:
Boolean parameter which indicates the use or not of the
augmented representation for training data (i.e., whether bias
features are activated or not).
(default: False)
:param corrections:
The number of corrections used in the LBFGS update.
If a known updater is used for binary classification,
it calls the ml implementation and this parameter will
have no effect. (default: 10)
:param tolerance:
The convergence tolerance of iterations for L-BFGS.
(default: 1e-6)
:param validateData:
Boolean parameter which indicates if the algorithm should
validate data before training.
(default: True)
:param numClasses:
The number of classes (i.e., outcomes) a label can take in
Multinomial Logistic Regression.
(default: 2)
>>> data = [
... LabeledPoint(0.0, [0.0, 1.0]),
... LabeledPoint(1.0, [1.0, 0.0]),
... ]
>>> lrm = LogisticRegressionWithLBFGS.train(sc.parallelize(data), iterations=10)
>>> lrm.predict([1.0, 0.0])
1
>>> lrm.predict([0.0, 1.0])
0
|
[
"Train",
"a",
"logistic",
"regression",
"model",
"on",
"the",
"given",
"data",
"."
] |
618d6bff71073c8c93501ab7392c3cc579730f0b
|
https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/mllib/classification.py#L332-L400
|
train
|
Train a logistic regression model on the given data.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(902 - 847) + chr(1279 - 1227), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1011100 + 0o23) + chr(1677 - 1628) + chr(50) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(52) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1176 - 1126) + chr(0b110010) + chr(1193 - 1139), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2102 - 2053) + chr(49) + '\x30', 57814 - 57806), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(51) + chr(0b110010) + chr(1927 - 1873), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1378 - 1327) + chr(0b110001) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + chr(1569 - 1521), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7880 - 7769) + chr(0b110001) + chr(51) + chr(0b1000 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1272 - 1222) + chr(0b101 + 0o55) + '\067', 44384 - 44376), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(1105 - 1050) + chr(0b1110 + 0o42), 0o10), ehT0Px3KOsy9('\x30' + chr(8134 - 8023) + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1192 - 1144) + '\157' + '\063' + chr(49) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1454 - 1405) + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(219 - 168) + chr(49) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b10 + 0o64) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(1541 - 1491) + '\064' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + '\063' + chr(850 - 795) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\067' + chr(257 - 204), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + '\x33' + chr(52) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + '\061' + chr(1058 - 1003) + chr(0b1011 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(706 - 657) + '\x35' + chr(902 - 851), 41703 - 41695), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(53) + chr(0b1001 + 0o54), 0o10), ehT0Px3KOsy9(chr(979 - 931) + chr(0b1101111) + '\x33' + chr(0b1001 + 0o51) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(11130 - 11019) + chr(0b100100 + 0o16) + '\x30' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(0b11111 + 0o26) + chr(0b1001 + 0o54), 21586 - 21578), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(1032 - 981) + chr(0b110100) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b10110 + 0o35) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x37' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x35' + '\x35', 8), ehT0Px3KOsy9(chr(48) + chr(1746 - 1635) + chr(0b1010 + 0o50) + chr(49) + '\066', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b1110 + 0o43) + '\065' + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(1574 - 1463) + '\x37' + chr(0b10110 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9474 - 9363) + chr(112 - 62) + chr(0b110110) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\063' + '\x35' + '\063', 13341 - 13333), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\063' + '\065' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(2806 - 2753) + chr(0b101000 + 0o15), 0o10), ehT0Px3KOsy9(chr(48) + chr(12243 - 12132) + chr(50) + chr(0b1110 + 0o47) + chr(48), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(3603 - 3492) + chr(2540 - 2487) + chr(0b110000), 25562 - 25554)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), chr(624 - 524) + chr(101) + '\143' + chr(0b1101111) + '\144' + chr(0b111011 + 0o52))('\165' + '\164' + chr(102) + chr(637 - 592) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def e80gRioCjdat(NSstowUUZlxS, ULnjp6D6efFH, k0iRQ6zz5FEt=ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(49) + chr(0b110100) + chr(0b110100), 0b1000), Gqj_QHO4DD7h=None, BumEuHpMtBDG=0.0, XwteXm41C3X4=xafqLlk3kkUe(SXOLrMavuUCe(b'P\xce'), '\144' + chr(101) + chr(99) + chr(0b111101 + 0o62) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(1669 - 1553) + chr(0b1100110) + chr(0b101101) + chr(0b111000)), eVXc4oKYuiVM=ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1001010 + 0o45) + '\060', 8), Ki1ML1KXXeCN=ehT0Px3KOsy9(chr(1224 - 1176) + '\x6f' + chr(1371 - 1322) + chr(616 - 566), ord("\x08")), eT0RFN_TG3vL=1e-06, LIwhPQlR1eqK=ehT0Px3KOsy9(chr(1529 - 1481) + chr(0b1101111) + chr(1789 - 1740), 48236 - 48228), QSh84nlRKBF0=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1526 - 1476), 32017 - 32009)):
def e80gRioCjdat(VwDkkS2adETP, WVxHKyX45z_L):
return VZYov_MgEctX(xafqLlk3kkUe(SXOLrMavuUCe(b'H\x8e0\n\xf8\x04\xb9\xa9Y-\xe3\x11t\x9a \xad\xc3\xc0\x88\x8e\x88\x12\x05\xe0\xbb\xe0H\x8b\xcc\x17\xd9\xe6L*\x7f\xf4\xb8'), '\x64' + chr(9047 - 8946) + chr(99) + chr(225 - 114) + '\144' + chr(1649 - 1548))(chr(0b10101 + 0o140) + '\x74' + chr(0b1100110) + chr(0b101100 + 0o1) + chr(0b100111 + 0o21)), VwDkkS2adETP, ehT0Px3KOsy9(k0iRQ6zz5FEt), WVxHKyX45z_L, kkSX4ccExqw4(BumEuHpMtBDG), XwteXm41C3X4, WbBjf8Y7v9VN(eVXc4oKYuiVM), ehT0Px3KOsy9(Ki1ML1KXXeCN), kkSX4ccExqw4(eT0RFN_TG3vL), WbBjf8Y7v9VN(LIwhPQlR1eqK), ehT0Px3KOsy9(QSh84nlRKBF0))
if Gqj_QHO4DD7h is None:
if QSh84nlRKBF0 == ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1280 - 1230), 8):
Gqj_QHO4DD7h = [0.0] * c2A0yzQpDQB3(ULnjp6D6efFH.first().features)
elif eVXc4oKYuiVM:
Gqj_QHO4DD7h = [0.0] * (c2A0yzQpDQB3(ULnjp6D6efFH.first().features) + ehT0Px3KOsy9(chr(1798 - 1750) + '\157' + chr(49), 8)) * (QSh84nlRKBF0 - ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(137 - 88), 8))
else:
Gqj_QHO4DD7h = [0.0] * c2A0yzQpDQB3(ULnjp6D6efFH.first().features) * (QSh84nlRKBF0 - ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 8))
return ETC_GJ_o83i5(e80gRioCjdat, FvEbK5Xry7LH, ULnjp6D6efFH, Gqj_QHO4DD7h)
|
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