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train · 339k rows

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apache/incubator-mxnet	example/ssd/evaluate/evaluate_net.py	evaluate_net	def evaluate_net(net, path_imgrec, num_classes, num_batch, mean_pixels, data_shape, model_prefix, epoch, ctx=mx.cpu(), batch_size=32, path_imglist="", nms_thresh=0.45, force_nms=False, ovp_thresh=0.5, use_difficult=False, class_names=None, voc07_metric=False): """ evalute network given validation record file Parameters: ---------- net : str or None Network name or use None to load from json without modifying path_imgrec : str path to the record validation file path_imglist : str path to the list file to replace labels in record file, optional num_classes : int number of classes, not including background mean_pixels : tuple (mean_r, mean_g, mean_b) data_shape : tuple or int (3, height, width) or height/width model_prefix : str model prefix of saved checkpoint epoch : int load model epoch ctx : mx.ctx mx.gpu() or mx.cpu() batch_size : int validation batch size nms_thresh : float non-maximum suppression threshold force_nms : boolean whether suppress different class objects ovp_thresh : float AP overlap threshold for true/false postives use_difficult : boolean whether to use difficult objects in evaluation if applicable class_names : comma separated str class names in string, must correspond to num_classes if set voc07_metric : boolean whether to use 11-point evluation as in VOC07 competition """ # set up logger logging.basicConfig() logger = logging.getLogger() logger.setLevel(logging.INFO) # args if isinstance(data_shape, int): data_shape = (3, data_shape, data_shape) assert len(data_shape) == 3 and data_shape[0] == 3 model_prefix += '_' + str(data_shape[1]) # iterator eval_iter = DetRecordIter(path_imgrec, batch_size, data_shape, mean_pixels=mean_pixels, path_imglist=path_imglist, *cfg.valid) # model params load_net, args, auxs = mx.model.load_checkpoint(model_prefix, epoch) # network if net is None: net = load_net else: net = get_symbol(net, data_shape[1], num_classes=num_classes, nms_thresh=nms_thresh, force_suppress=force_nms) if not 'label' in net.list_arguments(): label = mx.sym.Variable(name='label') net = mx.sym.Group([net, label]) # init module mod = mx.mod.Module(net, label_names=('label',), logger=logger, context=ctx, fixed_param_names=net.list_arguments()) mod.bind(data_shapes=eval_iter.provide_data, label_shapes=eval_iter.provide_label) mod.set_params(args, auxs, allow_missing=False, force_init=True) # run evaluation if voc07_metric: metric = VOC07MApMetric(ovp_thresh, use_difficult, class_names) else: metric = MApMetric(ovp_thresh, use_difficult, class_names) num = num_batch batch_size data = [mx.random.uniform(-1.0, 1.0, shape=shape, ctx=ctx) for _, shape in mod.data_shapes] batch = mx.io.DataBatch(data, []) # empty label dry_run = 5 # use 5 iterations to warm up for i in range(dry_run): mod.forward(batch, is_train=False) for output in mod.get_outputs(): output.wait_to_read() tic = time.time() results = mod.score(eval_iter, metric, num_batch=num_batch) speed = num / (time.time() - tic) if logger is not None: logger.info('Finished inference with %d images' % num) logger.info('Finished with %f images per second', speed) for k, v in results: print("{}: {}".format(k, v))	python	def evaluate_net(net, path_imgrec, num_classes, num_batch, mean_pixels, data_shape, model_prefix, epoch, ctx=mx.cpu(), batch_size=32, path_imglist="", nms_thresh=0.45, force_nms=False, ovp_thresh=0.5, use_difficult=False, class_names=None, voc07_metric=False): """ evalute network given validation record file Parameters: ---------- net : str or None Network name or use None to load from json without modifying path_imgrec : str path to the record validation file path_imglist : str path to the list file to replace labels in record file, optional num_classes : int number of classes, not including background mean_pixels : tuple (mean_r, mean_g, mean_b) data_shape : tuple or int (3, height, width) or height/width model_prefix : str model prefix of saved checkpoint epoch : int load model epoch ctx : mx.ctx mx.gpu() or mx.cpu() batch_size : int validation batch size nms_thresh : float non-maximum suppression threshold force_nms : boolean whether suppress different class objects ovp_thresh : float AP overlap threshold for true/false postives use_difficult : boolean whether to use difficult objects in evaluation if applicable class_names : comma separated str class names in string, must correspond to num_classes if set voc07_metric : boolean whether to use 11-point evluation as in VOC07 competition """ # set up logger logging.basicConfig() logger = logging.getLogger() logger.setLevel(logging.INFO) # args if isinstance(data_shape, int): data_shape = (3, data_shape, data_shape) assert len(data_shape) == 3 and data_shape[0] == 3 model_prefix += '_' + str(data_shape[1]) # iterator eval_iter = DetRecordIter(path_imgrec, batch_size, data_shape, mean_pixels=mean_pixels, path_imglist=path_imglist, *cfg.valid) # model params load_net, args, auxs = mx.model.load_checkpoint(model_prefix, epoch) # network if net is None: net = load_net else: net = get_symbol(net, data_shape[1], num_classes=num_classes, nms_thresh=nms_thresh, force_suppress=force_nms) if not 'label' in net.list_arguments(): label = mx.sym.Variable(name='label') net = mx.sym.Group([net, label]) # init module mod = mx.mod.Module(net, label_names=('label',), logger=logger, context=ctx, fixed_param_names=net.list_arguments()) mod.bind(data_shapes=eval_iter.provide_data, label_shapes=eval_iter.provide_label) mod.set_params(args, auxs, allow_missing=False, force_init=True) # run evaluation if voc07_metric: metric = VOC07MApMetric(ovp_thresh, use_difficult, class_names) else: metric = MApMetric(ovp_thresh, use_difficult, class_names) num = num_batch batch_size data = [mx.random.uniform(-1.0, 1.0, shape=shape, ctx=ctx) for _, shape in mod.data_shapes] batch = mx.io.DataBatch(data, []) # empty label dry_run = 5 # use 5 iterations to warm up for i in range(dry_run): mod.forward(batch, is_train=False) for output in mod.get_outputs(): output.wait_to_read() tic = time.time() results = mod.score(eval_iter, metric, num_batch=num_batch) speed = num / (time.time() - tic) if logger is not None: logger.info('Finished inference with %d images' % num) logger.info('Finished with %f images per second', speed) for k, v in results: print("{}: {}".format(k, v))	[ "def", "evaluate_net", "(", "net", ",", "path_imgrec", ",", "num_classes", ",", "num_batch", ",", "mean_pixels", ",", "data_shape", ",", "model_prefix", ",", "epoch", ",", "ctx", "=", "mx", ".", "cpu", "(", ")", ",", "batch_size", "=", "32", ",", "path_imglist", "=", "\"\"", ",", "nms_thresh", "=", "0.45", ",", "force_nms", "=", "False", ",", "ovp_thresh", "=", "0.5", ",", "use_difficult", "=", "False", ",", "class_names", "=", "None", ",", "voc07_metric", "=", "False", ")", ":", "# set up logger", "logging", ".", "basicConfig", "(", ")", "logger", "=", "logging", ".", "getLogger", "(", ")", "logger", 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threshold for true/false postives use_difficult : boolean whether to use difficult objects in evaluation if applicable class_names : comma separated str class names in string, must correspond to num_classes if set voc07_metric : boolean whether to use 11-point evluation as in VOC07 competition	[ "evalute", "network", "given", "validation", "record", "file" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/evaluate/evaluate_net.py#L34-L133	train	Evaluate the network given validation record file.	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1111) + '\x6f' + chr(0b1100 + 0o51) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(51) + chr(2566 - 2515), 0o10), ehT0Px3KOsy9('\x30' + chr(5576 - 5465) + '\063' + '\x34' + '\062', 40752 - 40744), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110110) + chr(53), 4063 - 4055), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100100 + 0o23) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(1326 - 1275) + '\x36' + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100 + 0o57) + '\x32' + chr(0b110111 + 0o0), 43001 - 42993), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10111 + 0o34) + '\066' + chr(0b110111), 60313 - 60305), ehT0Px3KOsy9(chr(1055 - 1007) + chr(0b1101111) + chr(0b110011) + chr(48) + '\063', 0b1000), ehT0Px3KOsy9(chr(1812 - 1764) + chr(7934 - 7823) + chr(0b101010 + 0o10) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\x33' + chr(0b110110) + chr(54), 52652 - 52644), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2472 - 2421) + chr(2156 - 2107) + chr(0b100011 + 0o22), 11198 - 11190), ehT0Px3KOsy9(chr(1295 - 1247) + chr(0b100011 + 0o114) + '\x31' + chr(49), 14999 - 14991), ehT0Px3KOsy9(chr(1766 - 1718) + chr(0b1101111) + chr(51) + '\x36' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1869 - 1815) + chr(0b110 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + '\062' + '\x31' + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(8949 - 8838) + chr(50) + '\x30' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1079 - 968) + chr(53) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(50) + '\062' + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\063' + chr(1632 - 1584), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\066' + '\063', 8), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(2121 - 2066) + chr(519 - 471), 56030 - 56022), ehT0Px3KOsy9(chr(0b110000) + chr(4846 - 4735) + chr(49) + '\x33' + chr(1079 - 1029), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b100000 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110111) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(50) + chr(0b0 + 0o63), 0o10), ehT0Px3KOsy9(chr(811 - 763) + '\x6f' + chr(680 - 626) + chr(48), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(231 - 183) + chr(0b1101111) + chr(2424 - 2371) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'^'), chr(0b100101 + 0o77) + chr(2270 - 2169) + chr(9582 - 9483) + '\157' + chr(0b111100 + 0o50) + chr(1920 - 1819))(chr(5302 - 5185) + chr(116) + chr(10250 - 10148) + chr(45) + chr(0b101100 + 0o14)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def VStGbtbwUXWN(DyzboKL9cczb, Eb8oeXpu7cgd, i6loyAgxUM2t, FqaHOz_cr8MC, E1fRBWSsubBl, l48nAKgbtcOz, j1_eR7aRhKil, LWTVW06OsTjl, oM3jLo753XfX=xafqLlk3kkUe(CIVheOt0RKQX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13qk'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(5586 - 5485))(chr(1326 - 1209) + chr(0b1111 + 0o145) + chr(2006 - 1904) + chr(0b101101) + chr(0b111000)))(), ix9dZyeAmUxY=ehT0Px3KOsy9('\060' + '\x6f' + '\x34' + chr(48), 0o10), MSaPHciuSA8u=xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(0b1011110 + 0o7) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))(chr(5089 - 4972) + chr(1526 - 1410) + chr(3752 - 3650) + chr(0b101010 + 0o3) + '\x38'), B1zO81yiJH6n=0.45, sy0nbNZ9RB9W=ehT0Px3KOsy9('\060' + '\157' + chr(446 - 398), 0b1000), RT8O2uJbImJx=0.5, a7Ty_vhlCMVe=ehT0Px3KOsy9(chr(134 - 86) + '\157' + '\060', 8), d0pd0E6a4xQt=None, UiWE7_YTEk8K=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8)): xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12`m8St\x90,\r\x82\xf8'), chr(0b110010 + 0o62) + chr(10151 - 10050) + '\x63' + '\x6f' + chr(100) + chr(1751 - 1650))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(2008 - 1963) + chr(2753 - 2697)))() hdK8qOUhR6Or = UeotCCWOPSQS.getLogger() xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03dj\x1dUA\x9a.'), '\x64' + chr(0b1001001 + 0o34) + chr(0b100 + 0o137) + '\x6f' + '\x64' + '\x65')(chr(2546 - 2429) + chr(0b1110100) + chr(0b1000000 + 0o46) + chr(45) + chr(56)))(xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'9OX\x1e'), chr(0b1100100) + chr(671 - 570) + chr(0b100111 + 0o74) + '\157' + '\x64' + chr(101))('\165' + chr(582 - 466) + '\146' + chr(0b1110 + 0o37) + chr(0b111000)))) if PlSM16l2KDPD(l48nAKgbtcOz, ehT0Px3KOsy9): l48nAKgbtcOz = (ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33', 0o10), l48nAKgbtcOz, l48nAKgbtcOz) assert c2A0yzQpDQB3(l48nAKgbtcOz) == ehT0Px3KOsy9(chr(48) + '\157' + chr(942 - 891), 8) and l48nAKgbtcOz[ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + '\x30', 8)] == ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\x33', 8) j1_eR7aRhKil += xafqLlk3kkUe(SXOLrMavuUCe(b'/'), chr(100) + chr(101) + chr(4834 - 4735) + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(9489 - 9373) + '\x66' + chr(557 - 512) + chr(424 - 368)) + M8_cKLkHVB2V(l48nAKgbtcOz[ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(49), 8)]) MDWmNOERG38D = qoKJB_QeTnSa(Eb8oeXpu7cgd, ix9dZyeAmUxY, l48nAKgbtcOz, mean_pixels=E1fRBWSsubBl, path_imglist=MSaPHciuSA8u, *VUGOL5I886yF.BZPR0lwTzWO8) (VMUj2IBFpq4N, kJDRfRhcZHjS, oAHyZTrtIYb8) = CIVheOt0RKQX.model.load_checkpoint(j1_eR7aRhKil, LWTVW06OsTjl) if DyzboKL9cczb is None: DyzboKL9cczb = VMUj2IBFpq4N else: DyzboKL9cczb = Rc2yr7B7_1Tw(DyzboKL9cczb, l48nAKgbtcOz[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8)], num_classes=i6loyAgxUM2t, nms_thresh=B1zO81yiJH6n, force_suppress=sy0nbNZ9RB9W) if xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c`\|4\\'), chr(0b1100100) + chr(0b1100001 + 0o4) + chr(0b1011 + 0o130) + chr(0b1101111) + '\144' + chr(3054 - 2953))('\x75' + chr(0b11010 + 0o132) + '\146' + chr(0b101101) + chr(0b111000)) not in xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1chm%oV\x8d%\x1e\x86\xfa(\xf6['), chr(0b1010101 + 0o17) + chr(0b1100101) + chr(316 - 217) + chr(111) + '\x64' + '\145')('\165' + '\164' + '\146' + '\x2d' + chr(0b111000)))(): TRUOLFLuD08x = CIVheOt0RKQX.sym.Variable(name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c`\|4\\'), '\x64' + '\145' + chr(99) + chr(3167 - 3056) + '\144' + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(0b100101 + 0o10) + chr(56))) DyzboKL9cczb = CIVheOt0RKQX.sym.Group([DyzboKL9cczb, TRUOLFLuD08x]) JHJR37KvkQhF = CIVheOt0RKQX.mod.Module(DyzboKL9cczb, label_names=(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c`\|4\\'), chr(0b1010011 + 0o21) + '\145' + '\143' + chr(0b1010001 + 0o36) + '\144' + '\x65')('\x75' + chr(12234 - 12118) + chr(102) + chr(0b101001 + 0o4) + chr(1872 - 1816)),), logger=hdK8qOUhR6Or, context=oM3jLo753XfX, fixed_param_names=DyzboKL9cczb.list_arguments()) xafqLlk3kkUe(JHJR37KvkQhF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12hp5'), chr(0b11100 + 0o110) + chr(101) + chr(0b1001 + 0o132) + chr(111) + '\x64' + chr(1636 - 1535))(chr(9604 - 9487) + chr(116) + '\146' + chr(45) + '\070'))(data_shapes=xafqLlk3kkUe(MDWmNOERG38D, xafqLlk3kkUe(SXOLrMavuUCe(b"'^;Ex\x95/ \x92\xe8\x19"), chr(0b1010111 + 0o15) + '\145' + chr(6061 - 5962) + chr(0b1101111) + chr(0b11101 + 0o107) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + '\x38')), label_shapes=xafqLlk3kkUe(MDWmNOERG38D, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12m.\x1dRr\x97q\x1d\x8a\xd6v'), '\x64' + '\145' + '\x63' + chr(111) + '\x64' + '\x65')('\x75' + chr(116) + '\x66' + chr(0b101101) + '\x38'))) xafqLlk3kkUe(JHJR37KvkQhF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03dj\x0e@V\x8d#\x06\x98'), chr(100) + chr(0b1100101) + chr(0b1 + 0o142) + chr(111) + '\144' + '\145')('\x75' + chr(0b1010011 + 0o41) + chr(0b110110 + 0o60) + '\055' + chr(56)))(kJDRfRhcZHjS, oAHyZTrtIYb8, allow_missing=ehT0Px3KOsy9('\060' + '\157' + chr(48), 8), force_init=ehT0Px3KOsy9(chr(0b110000) + chr(10097 - 9986) + chr(1829 - 1780), 8)) if UiWE7_YTEk8K: UyTbk4dY9zDl = seVD05n80fod(RT8O2uJbImJx, a7Ty_vhlCMVe, d0pd0E6a4xQt) else: UyTbk4dY9zDl = W2luTqxkT32i(RT8O2uJbImJx, a7Ty_vhlCMVe, d0pd0E6a4xQt) jFuGPhnxN9fq = FqaHOz_cr8MC * ix9dZyeAmUxY ULnjp6D6efFH = [CIVheOt0RKQX.random.uniform(-1.0, 1.0, shape=nauYfLglTpcb, ctx=oM3jLo753XfX) for (VNGQdHSFPrso, nauYfLglTpcb) in JHJR37KvkQhF.data_shapes] dNwAahu8tvoY = CIVheOt0RKQX.io.DataBatch(ULnjp6D6efFH, []) rG92S8c_n2xf = ehT0Px3KOsy9('\060' + '\x6f' + '\x35', 15902 - 15894) for WVxHKyX45z_L in vQr8gNKaIaWE(rG92S8c_n2xf): xafqLlk3kkUe(JHJR37KvkQhF, xafqLlk3kkUe(SXOLrMavuUCe(b'7c\|2s\x7f\xaa\x0c-\xa6\xf5s'), '\144' + chr(101) + chr(403 - 304) + chr(111) + chr(100) + '\145')('\165' + chr(116) + chr(0b110010 + 0o64) + '\055' + chr(0b101111 + 0o11)))(dNwAahu8tvoY, is_train=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8)) for e1jVqMSBZ01Y in xafqLlk3kkUe(JHJR37KvkQhF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17dj\x0e_B\x8b2\x1e\x9f\xec'), '\144' + '\x65' + chr(99) + '\x6f' + chr(0b100111 + 0o75) + '\x65')(chr(1057 - 940) + chr(3452 - 3336) + chr(102) + '\055' + chr(1814 - 1758)))(): xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07`w%oC\x90\x1d\x19\x8e\xfe"'), chr(100) + chr(718 - 617) + '\x63' + '\157' + chr(7777 - 7677) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b1001 + 0o44) + '\x38'))() yTo1Kl5FmnsP = ltvhPP4VhXre.time() iIGKX2zSEGYP = JHJR37KvkQhF.score(MDWmNOERG38D, UyTbk4dY9zDl, num_batch=FqaHOz_cr8MC) KLgWQD67ElpU = jFuGPhnxN9fq / (ltvhPP4VhXre.time() - yTo1Kl5FmnsP) if hdK8qOUhR6Or is not None: xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'#6V)ET\x98u\x01\x87\xc5-'), chr(0b1100100) + '\145' + '\143' + chr(111) + '\x64' + '\145')('\x75' + chr(116) + '\146' + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'6hp8C_\x9a&K\x82\xf1 \xe7Z\xbe\x8c\x96Z\xd5\xa0\x9e\xb7\|\xd6\xe8m\xd4\x1a\xe1\xe2L\xf4+'), chr(0b1111 + 0o125) + chr(4609 - 4508) + chr(0b1100011) + chr(111) + chr(0b101001 + 0o73) + chr(0b1100101))(chr(9275 - 9158) + chr(0b1101001 + 0o13) + '\x66' + chr(45) + chr(1266 - 1210)) % jFuGPhnxN9fq) xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'#6V)ET\x98u\x01\x87\xc5-'), chr(0b1100100) + chr(0b1100101) + chr(0b1001010 + 0o31) + chr(0b1001110 + 0o41) + chr(0b110110 + 0o56) + chr(0b110100 + 0o61))('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'6hp8C_\x9a&K\x9c\xf62\xea\x08\xfe\x84\xd5V\x98\xb6\x90\xa6g\xd6\xbdl\x86S\xff\xe6H\xfe6\x17'), chr(9986 - 9886) + '\x65' + chr(691 - 592) + chr(2543 - 2432) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(1715 - 1659)), KLgWQD67ElpU) for (OolUPRJhRaJd, cMbll0QYhULo) in iIGKX2zSEGYP: zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\|$qKJ'), chr(0b1011001 + 0o13) + chr(7587 - 7486) + chr(99) + '\157' + '\144' + '\x65')(chr(13389 - 13272) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'&5l>xV\xacq;\x9b\xfa,'), chr(0b1001110 + 0o26) + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(2018 - 1917))(chr(117) + '\x74' + chr(102) + '\x2d' + chr(56)))(OolUPRJhRaJd, cMbll0QYhULo))
apache/incubator-mxnet	python/mxnet/module/python_module.py	PythonModule.init_params	def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initializes the parameters and auxiliary states. By default this function does nothing. Subclass should override this method if contains parameters. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not ``None``, should be a dictionary of existing `arg_params`. Initialization will be copied from that. aux_params : dict If not ``None``, should be a dictionary of existing `aux_params`. Initialization will be copied from that. allow_missing : bool If ``True``, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If ``True``, will force re-initialize even if already initialized. allow_extra : boolean, optional Whether allow extra parameters that are not needed by symbol. If this is True, no error will be thrown when arg_params or aux_params contain extra parameters that is not needed by the executor. """ pass	python	def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initializes the parameters and auxiliary states. By default this function does nothing. Subclass should override this method if contains parameters. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not ``None``, should be a dictionary of existing `arg_params`. Initialization will be copied from that. aux_params : dict If not ``None``, should be a dictionary of existing `aux_params`. Initialization will be copied from that. allow_missing : bool If ``True``, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If ``True``, will force re-initialize even if already initialized. allow_extra : boolean, optional Whether allow extra parameters that are not needed by symbol. If this is True, no error will be thrown when arg_params or aux_params contain extra parameters that is not needed by the executor. """ pass	[ "def", "init_params", "(", "self", ",", "initializer", "=", "Uniform", "(", "0.01", ")", ",", "arg_params", "=", "None", ",", "aux_params", "=", "None", ",", "allow_missing", "=", "False", ",", "force_init", "=", "False", ",", "allow_extra", "=", "False", ")", ":", "pass" ]	Initializes the parameters and auxiliary states. By default this function does nothing. Subclass should override this method if contains parameters. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not ``None``, should be a dictionary of existing `arg_params`. Initialization will be copied from that. aux_params : dict If not ``None``, should be a dictionary of existing `aux_params`. Initialization will be copied from that. allow_missing : bool If ``True``, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If ``True``, will force re-initialize even if already initialized. allow_extra : boolean, optional Whether allow extra parameters that are not needed by symbol. If this is True, no error will be thrown when arg_params or aux_params contain extra parameters that is not needed by the executor.	[ "Initializes", "the", "parameters", "and", "auxiliary", "states", ".", "By", "default", "this", "function", "does", "nothing", ".", "Subclass", "should", "override", "this", "method", "if", "contains", "parameters", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/python_module.py#L107-L132	train	Initializes the parameters and auxiliary states. By default this function does nothing.	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) + '\063' + '\062' + '\063', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(55) + '\061', 51512 - 51504), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2336 - 2285) + '\x33' + '\x30', 0o10), ehT0Px3KOsy9(chr(509 - 461) + '\x6f' + chr(1523 - 1474) + chr(0b100111 + 0o11) + '\x32', 52417 - 52409), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\062' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\065' + chr(0b101101 + 0o3), 0o10), ehT0Px3KOsy9(chr(1811 - 1763) + '\x6f' + '\061' + '\064' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(51) + '\x37' + chr(1132 - 1084), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + '\061' + chr(0b110101) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(456 - 407) + chr(0b11000 + 0o36) + chr(1943 - 1891), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110000) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b110000 + 0o1) + chr(2250 - 2202), 13336 - 13328), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(49) + chr(2140 - 2087) + '\066', 8), ehT0Px3KOsy9('\060' + chr(10975 - 10864) + chr(0b100 + 0o56) + '\x31' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4969 - 4858) + chr(0b10110 + 0o34) + chr(0b110011) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(137 - 87) + chr(0b110110) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + '\x34' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(54) + chr(0b100100 + 0o15), 0o10), ehT0Px3KOsy9(chr(362 - 314) + chr(0b110110 + 0o71) + chr(0b1101 + 0o44) + chr(0b110111) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(225 - 176) + chr(0b1110 + 0o50) + chr(0b1101 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\062' + chr(645 - 593) + chr(0b11001 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3083 - 2972) + chr(1106 - 1051) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(831 - 783) + '\157' + '\x33' + chr(48) + chr(2069 - 2015), 0b1000), ehT0Px3KOsy9('\060' + chr(7126 - 7015) + chr(100 - 46) + chr(0b100011 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(591 - 542) + chr(1051 - 998) + chr(312 - 263), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(586 - 536) + '\066' + chr(0b100000 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(1284 - 1236) + chr(0b1101111) + chr(1088 - 1039) + chr(1419 - 1365) + '\063', 28941 - 28933), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(1885 - 1831), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b11 + 0o61) + chr(0b1110 + 0o47), 0o10), ehT0Px3KOsy9(chr(1741 - 1693) + chr(0b1101111) + '\063' + chr(0b110010) + chr(2561 - 2506), 26792 - 26784), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11110 + 0o24) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\062' + chr(0b101000 + 0o17), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110001) + chr(54), 65463 - 65455), ehT0Px3KOsy9(chr(48) + '\157' + chr(1391 - 1341) + '\063' + chr(0b101100 + 0o7), 8), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(0b10110 + 0o34) + '\x30' + chr(50), 6148 - 6140), ehT0Px3KOsy9(chr(48) + chr(8240 - 8129) + chr(0b10101 + 0o34) + '\x34' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(2609 - 2557) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x34' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1422 - 1373) + chr(1558 - 1504) + chr(0b11110 + 0o22), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + chr(0b1011 + 0o45), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd'), chr(0b1100100) + chr(101) + chr(1262 - 1163) + '\x6f' + chr(0b1100100) + '\145')('\165' + '\x74' + chr(102) + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def oZNFuAsgrYEN(oVre8I6UXc3b, kwfuYzkY5C57=IZ_mZejMUBkq(0.01), GroVdzCONmWS=None, p9GVyAqRTTRh=None, EvAy_xX2if1F=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100110 + 0o12), 0o10), WLhLFaYh5g6M=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(814 - 766), 8), bUoGDo0a4vdc=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(48), 8)): pass
apache/incubator-mxnet	python/mxnet/module/python_module.py	PythonModule.update_metric	def update_metric(self, eval_metric, labels, pre_sliced=False): """Evaluates and accumulates evaluation metric on outputs of the last forward computation. Subclass should override this method if needed. Parameters ---------- eval_metric : EvalMetric labels : list of NDArray Typically ``data_batch.label``. """ if self._label_shapes is None: # since we do not need labels, we are probably not a module with a loss # function or predictions, so just ignore this call return if pre_sliced: raise RuntimeError("PythonModule does not support presliced labels") # by default we expect our outputs are some scores that could be evaluated eval_metric.update(labels, self.get_outputs())	python	def update_metric(self, eval_metric, labels, pre_sliced=False): """Evaluates and accumulates evaluation metric on outputs of the last forward computation. Subclass should override this method if needed. Parameters ---------- eval_metric : EvalMetric labels : list of NDArray Typically ``data_batch.label``. """ if self._label_shapes is None: # since we do not need labels, we are probably not a module with a loss # function or predictions, so just ignore this call return if pre_sliced: raise RuntimeError("PythonModule does not support presliced labels") # by default we expect our outputs are some scores that could be evaluated eval_metric.update(labels, self.get_outputs())	[ "def", "update_metric", "(", "self", ",", "eval_metric", ",", "labels", ",", "pre_sliced", "=", "False", ")", ":", "if", "self", ".", "_label_shapes", "is", "None", ":", "# since we do not need labels, we are probably not a module with a loss", "# function or predictions, so just ignore this call", "return", "if", "pre_sliced", ":", "raise", "RuntimeError", "(", "\"PythonModule does not support presliced labels\"", ")", "# by default we expect our outputs are some scores that could be evaluated", "eval_metric", ".", "update", "(", "labels", ",", "self", ".", "get_outputs", "(", ")", ")" ]	Evaluates and accumulates evaluation metric on outputs of the last forward computation. Subclass should override this method if needed. Parameters ---------- eval_metric : EvalMetric labels : list of NDArray Typically ``data_batch.label``.	[ "Evaluates", "and", "accumulates", "evaluation", "metric", "on", "outputs", "of", "the", "last", "forward", "computation", ".", "Subclass", "should", "override", "this", "method", "if", "needed", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/python_module.py#L141-L160	train	Evaluates and accumulates evaluation metric on outputs of the last forward computation.	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(0b100110 + 0o12) + chr(111) + chr(0b110001) + chr(0b110 + 0o61) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1287 - 1239) + '\x6f' + chr(51) + chr(0b101001 + 0o16) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11156 - 11045) + chr(51) + chr(2293 - 2240) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2990 - 2879) + chr(52) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9(chr(1544 - 1496) + chr(0b111000 + 0o67) + chr(0b110001) + chr(1033 - 981) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(2593 - 2542) + chr(0b100110 + 0o13) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(770 - 719) + chr(51) + chr(0b110110), 42298 - 42290), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110001) + chr(0b11011 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + chr(7993 - 7882) + '\062' + '\x32' + '\062', 11776 - 11768), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + '\066', 0o10), ehT0Px3KOsy9(chr(859 - 811) + chr(0b1011 + 0o144) + chr(49) + chr(0b110101) + '\063', 53281 - 53273), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\x32' + chr(0b110110) + chr(0b110101 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\064' + chr(0b10101 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11128 - 11017) + chr(192 - 142) + chr(1210 - 1156) + '\065', 8), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(4780 - 4669) + chr(0b110011) + '\065' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\066' + chr(0b110001), 32377 - 32369), ehT0Px3KOsy9('\060' + '\x6f' + chr(2129 - 2080) + '\x36' + chr(1134 - 1080), 60565 - 60557), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + chr(0b101100 + 0o6) + chr(54) + '\062', 15609 - 15601), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(2744 - 2690) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(0b0 + 0o67), 23102 - 23094), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b11011 + 0o32) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(53) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1066 - 1017) + '\x37' + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o16) + chr(51) + chr(54), 59047 - 59039), ehT0Px3KOsy9('\x30' + '\157' + chr(666 - 615) + chr(0b110000) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2219 - 2170) + chr(1146 - 1092) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(1662 - 1608) + chr(1521 - 1473), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b0 + 0o62) + chr(1596 - 1545) + chr(2510 - 2459), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(0b110110), 53123 - 53115), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x31' + chr(48), 48515 - 48507), ehT0Px3KOsy9(chr(499 - 451) + chr(6563 - 6452) + '\x35' + chr(656 - 606), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + '\x34' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b1010 + 0o55) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o5), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(382 - 327) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(1530 - 1479) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o17) + chr(0b11001 + 0o33), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\061' + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(0b110001 + 0o4) + chr(0b1100 + 0o44), 51485 - 51477)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'U'), chr(100) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(5351 - 5235) + chr(102) + chr(45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def uam3A74iiTB5(oVre8I6UXc3b, tbbpbfMnen5w, uXMK81tmdpTM, DHrTOMOb6VYF=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11101 + 0o23), 8)): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\x9e\xbfSI%\x88\x9b\xfa\xc6m$'), '\144' + '\145' + '\143' + '\x6f' + '\144' + '\145')(chr(0b11100 + 0o131) + chr(0b101011 + 0o111) + chr(102) + chr(0b101101) + '\070')) is None: return if DHrTOMOb6VYF: raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'+\x82\x99Lw\t\x81\xb1\xec\xe7B\x0e\x95\xc7o\xd0\x9c\xd1\x18\xdd\x04\x17\x1d\x9e\n.\xa8\x06\x04\xbbN:OS\xd2k[\xfahm\x17\x9a\x8fAt\x14'), chr(0b1100100) + chr(0b1001100 + 0o31) + chr(0b1100011) + chr(111) + '\144' + chr(101))(chr(0b1101111 + 0o6) + chr(116) + '\146' + chr(45) + '\070')) xafqLlk3kkUe(tbbpbfMnen5w, xafqLlk3kkUe(SXOLrMavuUCe(b'!\x8f\xacaq)\x86\xb0\xf1\xa6K['), chr(1902 - 1802) + chr(101) + chr(99) + chr(111) + '\144' + chr(7388 - 7287))(chr(5532 - 5415) + chr(3855 - 3739) + '\x66' + chr(0b10001 + 0o34) + '\x38'))(uXMK81tmdpTM, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\x9e\x99{w\x12\xb8\xae\xfd\xe6]'), chr(0b100011 + 0o101) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b10001 + 0o144) + chr(116) + '\x66' + chr(45) + '\070'))())
apache/incubator-mxnet	python/mxnet/module/python_module.py	PythonModule.bind	def bind(self, data_shapes, label_shapes=None, for_training=True, inputs_need_grad=False, force_rebind=False, shared_module=None, grad_req='write'): """Binds the symbols to construct executors. This is necessary before one can perform computation with the module. Parameters ---------- data_shapes : list of (str, tuple) Typically is ``data_iter.provide_data``. label_shapes : list of (str, tuple) Typically is ``data_iter.provide_label``. for_training : bool Default is ``True``. Whether the executors should be bind for training. inputs_need_grad : bool Default is ``False``. Whether the gradients to the input data need to be computed. Typically this is not needed. But this might be needed when implementing composition of modules. force_rebind : bool Default is ``False``. This function does nothing if the executors are already bound. But with this ``True``, the executors will be forced to rebind. shared_module : Module Default is ``None``. This is used in bucketing. When not ``None``, the shared module essentially corresponds to a different bucket -- a module with different symbol but with the same sets of parameters (e.g. unrolled RNNs with different lengths). grad_req : str, list of str, dict of str to str Requirement for gradient accumulation. Can be 'write', 'add', or 'null' (default to 'write'). Can be specified globally (str) or for each argument (list, dict). """ if self.binded and not force_rebind: self.logger.warning('Already bound, ignoring bind()') return assert grad_req == 'write', "Python module only support write gradient" self.for_training = for_training self.inputs_need_grad = inputs_need_grad assert len(data_shapes) == len(self._data_names) assert [x[0] for x in data_shapes] == self._data_names self._data_shapes = data_shapes self._label_shapes = label_shapes if label_shapes is not None: assert self._label_names is not None assert len(self._label_names) == len(label_shapes) assert [x[0] for x in label_shapes] == self._label_names self._output_shapes = self._compute_output_shapes()	python	def bind(self, data_shapes, label_shapes=None, for_training=True, inputs_need_grad=False, force_rebind=False, shared_module=None, grad_req='write'): """Binds the symbols to construct executors. This is necessary before one can perform computation with the module. Parameters ---------- data_shapes : list of (str, tuple) Typically is ``data_iter.provide_data``. label_shapes : list of (str, tuple) Typically is ``data_iter.provide_label``. for_training : bool Default is ``True``. Whether the executors should be bind for training. inputs_need_grad : bool Default is ``False``. Whether the gradients to the input data need to be computed. Typically this is not needed. But this might be needed when implementing composition of modules. force_rebind : bool Default is ``False``. This function does nothing if the executors are already bound. But with this ``True``, the executors will be forced to rebind. shared_module : Module Default is ``None``. This is used in bucketing. When not ``None``, the shared module essentially corresponds to a different bucket -- a module with different symbol but with the same sets of parameters (e.g. unrolled RNNs with different lengths). grad_req : str, list of str, dict of str to str Requirement for gradient accumulation. Can be 'write', 'add', or 'null' (default to 'write'). Can be specified globally (str) or for each argument (list, dict). """ if self.binded and not force_rebind: self.logger.warning('Already bound, ignoring bind()') return assert grad_req == 'write', "Python module only support write gradient" self.for_training = for_training self.inputs_need_grad = inputs_need_grad assert len(data_shapes) == len(self._data_names) assert [x[0] for x in data_shapes] == self._data_names self._data_shapes = data_shapes self._label_shapes = label_shapes if label_shapes is not None: assert self._label_names is not None assert len(self._label_names) == len(label_shapes) assert [x[0] for x in label_shapes] == self._label_names self._output_shapes = self._compute_output_shapes()	[ "def", "bind", "(", "self", ",", "data_shapes", ",", "label_shapes", "=", "None", ",", "for_training", "=", "True", ",", "inputs_need_grad", "=", "False", ",", "force_rebind", "=", "False", ",", "shared_module", "=", "None", ",", "grad_req", "=", "'write'", ")", ":", "if", "self", ".", "binded", "and", "not", "force_rebind", ":", "self", ".", "logger", ".", "warning", "(", "'Already bound, ignoring bind()'", ")", "return", "assert", "grad_req", "==", "'write'", ",", "\"Python module only support write gradient\"", "self", ".", "for_training", "=", "for_training", "self", ".", "inputs_need_grad", "=", "inputs_need_grad", "assert", "len", "(", "data_shapes", ")", "==", "len", "(", "self", ".", "_data_names", ")", "assert", "[", "x", "[", "0", "]", "for", "x", "in", "data_shapes", "]", "==", "self", ".", "_data_names", "self", ".", "_data_shapes", "=", "data_shapes", "self", ".", "_label_shapes", "=", "label_shapes", "if", "label_shapes", "is", "not", "None", ":", "assert", "self", ".", "_label_names", "is", "not", "None", "assert", "len", "(", "self", ".", "_label_names", ")", "==", "len", "(", "label_shapes", ")", "assert", "[", "x", "[", "0", "]", "for", "x", "in", "label_shapes", "]", "==", "self", ".", "_label_names", "self", ".", "_output_shapes", "=", "self", ".", "_compute_output_shapes", "(", ")" ]	Binds the symbols to construct executors. This is necessary before one can perform computation with the module. Parameters ---------- data_shapes : list of (str, tuple) Typically is ``data_iter.provide_data``. label_shapes : list of (str, tuple) Typically is ``data_iter.provide_label``. for_training : bool Default is ``True``. Whether the executors should be bind for training. inputs_need_grad : bool Default is ``False``. Whether the gradients to the input data need to be computed. Typically this is not needed. But this might be needed when implementing composition of modules. force_rebind : bool Default is ``False``. This function does nothing if the executors are already bound. But with this ``True``, the executors will be forced to rebind. shared_module : Module Default is ``None``. This is used in bucketing. When not ``None``, the shared module essentially corresponds to a different bucket -- a module with different symbol but with the same sets of parameters (e.g. unrolled RNNs with different lengths). grad_req : str, list of str, dict of str to str Requirement for gradient accumulation. Can be 'write', 'add', or 'null' (default to 'write'). Can be specified globally (str) or for each argument (list, dict).	[ "Binds", "the", "symbols", "to", "construct", "executors", ".", "This", "is", "necessary", "before", "one", "can", "perform", "computation", "with", "the", "module", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/python_module.py#L165-L213	train	Binds the executors to construct executors.	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(0b111000 + 0o67) + chr(0b110001) + '\x36' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\061' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b110011) + chr(52) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2045 - 1994) + chr(52) + chr(0b10010 + 0o41), 7972 - 7964), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\063' + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(9912 - 9801) + '\061' + chr(0b110001 + 0o3) + chr(48), 25529 - 25521), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(48) + chr(932 - 882), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(1250 - 1202) + chr(168 - 118), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1010111 + 0o30) + chr(0b1011 + 0o50) + chr(0b110010) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(950 - 902) + chr(111) + chr(481 - 432) + chr(0b10111 + 0o32) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(115 - 66) + chr(2112 - 2057) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b110011) + chr(0b10 + 0o60) + '\060', 3121 - 3113), ehT0Px3KOsy9(chr(91 - 43) + '\x6f' + chr(0b110011) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b110011) + chr(0b110010) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(181 - 132) + chr(54), 29956 - 29948), ehT0Px3KOsy9('\060' + chr(6356 - 6245) + chr(1402 - 1351) + chr(0b10001 + 0o44) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(3810 - 3699) + chr(49) + '\x34' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(0b101000 + 0o13) + chr(0b110001) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(9707 - 9596) + chr(0b110001) + chr(0b110100) + chr(2698 - 2643), 8), ehT0Px3KOsy9('\x30' + chr(11360 - 11249) + chr(49) + chr(51) + chr(0b10110 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b11111 + 0o25) + chr(0b110010), 34038 - 34030), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(2055 - 2004) + '\x31' + chr(845 - 790), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(0b10110 + 0o33) + '\x31' + chr(0b101011 + 0o6), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\066' + chr(953 - 900), 46184 - 46176), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(1708 - 1659), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(54) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1333 - 1285) + '\157' + chr(0b11000 + 0o32) + '\x31' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + '\063' + '\x36' + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(2336 - 2284) + '\x32', 50470 - 50462), ehT0Px3KOsy9('\x30' + chr(10880 - 10769) + chr(0b10011 + 0o36) + '\x34' + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(54) + chr(0b10000 + 0o45), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110000) + chr(645 - 591), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2256 - 2207) + chr(0b10 + 0o62) + chr(48), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10011 + 0o43) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(2372 - 2323) + chr(0b1101 + 0o43) + chr(0b100011 + 0o15), 17380 - 17372), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b10100 + 0o37) + '\x31' + chr(54), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101100 + 0o3) + chr(54) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\064' + chr(1216 - 1167), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2567 - 2456) + chr(51) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3298 - 3187) + chr(0b110111) + chr(0b110110), 27090 - 27082)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(6373 - 6262) + chr(1402 - 1349) + chr(0b1011 + 0o45), 56248 - 56240)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), chr(5671 - 5571) + chr(3633 - 3532) + chr(4686 - 4587) + chr(4139 - 4028) + chr(0b1100100) + chr(101))(chr(5644 - 5527) + '\164' + '\x66' + chr(74 - 29) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def RxybUDNegxKp(oVre8I6UXc3b, YtBSCi2IqLNC, I20ITSLWMkxm=None, niBS8zuJW5W8=ehT0Px3KOsy9(chr(335 - 287) + chr(0b1101111) + '\061', 0b1000), rZk4UVSUfv_X=ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(48), 0b1000), jvgJ056jq9JK=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8), BWJ3OwfvHl8n=None, aPO3geeCGwU6=xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xbb\x8f\x97\xfa'), chr(3103 - 3003) + '\x65' + '\x63' + chr(0b1100110 + 0o11) + '\144' + '\145')(chr(117) + chr(116) + '\x66' + chr(0b100110 + 0o7) + '\x38')): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\x9c\xb5\x92\xd3\x16\xb7\xc1\x9ex-\xa0'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101 + 0o142) + chr(8303 - 8203) + chr(0b1100101))(chr(6185 - 6068) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070')) and (not jvgJ056jq9JK): xafqLlk3kkUe(oVre8I6UXc3b.logger, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xa8\x94\x8d\xf6\x0e\xe5'), '\144' + chr(8277 - 8176) + '\143' + chr(6577 - 6466) + chr(0b110 + 0o136) + chr(0b1100101))('\x75' + chr(116) + '\x66' + chr(789 - 744) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'7\xa5\x94\x86\xfe\x04\xfb\xa2\xb1&\x0f\xbe\x7f\xfd\xae\x85\x00\xa0\x08.\xcb\xa1.UsY\xe5\x90JN'), '\x64' + '\x65' + chr(99) + '\x6f' + chr(100) + chr(101))('\x75' + '\x74' + chr(3162 - 3060) + chr(1318 - 1273) + '\x38')) return assert aPO3geeCGwU6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xbb\x8f\x97\xfa'), chr(404 - 304) + '\145' + '\x63' + '\157' + '\144' + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(2290 - 2234)), xafqLlk3kkUe(SXOLrMavuUCe(b'&\xb0\x92\x8b\xf0\x0e\xa2\xef\xbc-\x0f\xbc~\xf1\xe1\x82\x0b\xb7G/\xd7\xbf9\x1acD\xab\x83\x10\x0e\x81\xa3@V2\xafS\x08~P\x02'), chr(100) + '\x65' + '\x63' + chr(111) + chr(100) + chr(9398 - 9297))('\165' + chr(0b1010111 + 0o35) + chr(8121 - 8019) + '\055' + chr(204 - 148)) oVre8I6UXc3b.niBS8zuJW5W8 = niBS8zuJW5W8 oVre8I6UXc3b.rZk4UVSUfv_X = rZk4UVSUfv_X assert c2A0yzQpDQB3(YtBSCi2IqLNC) == c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b')\xad\x87\x97\xfe?\xec\xe3\xbe,\t'), '\x64' + chr(101) + chr(7041 - 6942) + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(1012 - 967) + chr(76 - 20)))) assert [OeWW0F1dBPRQ[ehT0Px3KOsy9('\x30' + chr(9883 - 9772) + chr(48), 8)] for OeWW0F1dBPRQ in YtBSCi2IqLNC] == xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b')\xad\x87\x97\xfe?\xec\xe3\xbe,\t'), chr(0b110011 + 0o61) + chr(10157 - 10056) + '\x63' + '\157' + chr(0b1100100) + '\145')(chr(0b11011 + 0o132) + chr(0b10000 + 0o144) + '\146' + chr(0b101101) + '\070')) oVre8I6UXc3b.qOSsFbxz_mJe = YtBSCi2IqLNC oVre8I6UXc3b.aeRwQBDErTCO = I20ITSLWMkxm if I20ITSLWMkxm is not None: assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b')\xa5\x87\x81\xfa\x0c\xdd\xec\xb2$\x1f\xa3'), '\144' + '\145' + '\143' + chr(8320 - 8209) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(7107 - 7005) + '\x2d' + chr(1870 - 1814))) is not None assert c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b')\xa5\x87\x81\xfa\x0c\xdd\xec\xb2$\x1f\xa3'), chr(0b1100 + 0o130) + '\145' + '\x63' + chr(0b101100 + 0o103) + chr(6551 - 6451) + chr(0b11100 + 0o111))('\x75' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b10100 + 0o44)))) == c2A0yzQpDQB3(I20ITSLWMkxm) assert [OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', 8)] for OeWW0F1dBPRQ in I20ITSLWMkxm] == xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b')\xa5\x87\x81\xfa\x0c\xdd\xec\xb2$\x1f\xa3'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(776 - 720))) oVre8I6UXc3b.h7lARJTebPnX = oVre8I6UXc3b._compute_output_shapes()
apache/incubator-mxnet	python/mxnet/module/python_module.py	PythonLossModule.forward	def forward(self, data_batch, is_train=None): """Forward computation. Here we do nothing but to keep a reference to the scores and the labels so that we can do backward computation. Parameters ---------- data_batch : DataBatch Could be anything with similar API implemented. is_train : bool Default is ``None``, which means `is_train` takes the value of ``self.for_training``. """ self._scores = data_batch.data[0] if is_train is None: is_train = self.for_training if is_train: self._labels = data_batch.label[0]	python	def forward(self, data_batch, is_train=None): """Forward computation. Here we do nothing but to keep a reference to the scores and the labels so that we can do backward computation. Parameters ---------- data_batch : DataBatch Could be anything with similar API implemented. is_train : bool Default is ``None``, which means `is_train` takes the value of ``self.for_training``. """ self._scores = data_batch.data[0] if is_train is None: is_train = self.for_training if is_train: self._labels = data_batch.label[0]	[ "def", "forward", "(", "self", ",", "data_batch", ",", "is_train", "=", "None", ")", ":", "self", ".", "_scores", "=", "data_batch", ".", "data", "[", "0", "]", "if", "is_train", "is", "None", ":", "is_train", "=", "self", ".", "for_training", "if", "is_train", ":", "self", ".", "_labels", "=", "data_batch", ".", "label", "[", "0", "]" ]	Forward computation. Here we do nothing but to keep a reference to the scores and the labels so that we can do backward computation. Parameters ---------- data_batch : DataBatch Could be anything with similar API implemented. is_train : bool Default is ``None``, which means `is_train` takes the value of ``self.for_training``.	[ "Forward", "computation", ".", "Here", "we", "do", "nothing", "but", "to", "keep", "a", "reference", "to", "the", "scores", "and", "the", "labels", "so", "that", "we", "can", "do", "backward", "computation", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/python_module.py#L285-L302	train	Forward computation. Here we do nothing but to keep a reference to the scores and the labels so that we can do backward computation.	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(0b110001) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1222 - 1171), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o27) + '\060' + '\062', 0b1000), ehT0Px3KOsy9(chr(727 - 679) + chr(0b1101111) + chr(0b101111 + 0o4) + '\x30' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x30' + chr(454 - 406), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\060' + chr(0b1111 + 0o42), 15685 - 15677), ehT0Px3KOsy9(chr(1493 - 1445) + chr(4914 - 4803) + chr(50) + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(865 - 817) + '\157' + chr(55) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(8533 - 8422) + chr(51) + chr(0b110100) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + chr(999 - 950) + chr(1552 - 1502) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(8991 - 8880) + chr(507 - 456) + chr(48) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b110010) + chr(0b110101) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + '\x32' + chr(50) + chr(0b1011 + 0o47), 21384 - 21376), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\063', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1010110 + 0o31) + chr(402 - 352) + chr(0b100010 + 0o21) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101 + 0o142) + chr(547 - 497) + chr(0b11111 + 0o21) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\063' + chr(2204 - 2154), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1001110 + 0o41) + '\062' + '\062', 52612 - 52604), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110010) + '\x31', 55047 - 55039), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x32' + '\067' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(53) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b110010), 11196 - 11188), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b1010 + 0o50) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(665 - 617) + chr(11707 - 11596) + chr(0b110101) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12196 - 12085) + '\x31' + chr(1926 - 1875) + chr(55), 0b1000), ehT0Px3KOsy9(chr(689 - 641) + chr(0b10110 + 0o131) + '\x33' + chr(52) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x37' + chr(173 - 125), 0o10), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(9555 - 9444) + chr(0b11000 + 0o32) + chr(1225 - 1171) + chr(2778 - 2725), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1000100 + 0o53) + chr(0b110010) + chr(2497 - 2443) + chr(0b100111 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b110001 + 0o3) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + '\x37' + '\x32', 25457 - 25449), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1000 + 0o53) + chr(0b1001 + 0o50) + '\067', 46333 - 46325), ehT0Px3KOsy9(chr(48) + chr(11198 - 11087) + chr(0b110001) + '\x31' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + chr(0b100 + 0o60) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101000 + 0o13) + chr(2113 - 2063) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(9272 - 9161) + chr(0b110001) + chr(841 - 788) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\062' + '\064' + chr(2179 - 2125), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(48) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(49) + chr(1835 - 1782), 32453 - 32445)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(9803 - 9692) + chr(0b1010110 + 0o16) + chr(123 - 22))('\165' + chr(116) + chr(0b1001101 + 0o31) + chr(0b101010 + 0o3) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def GbbcCHUNFMj5(oVre8I6UXc3b, idr841wg0ysW, axnxdawmCuz_=None): oVre8I6UXc3b.GmVAtQrE0JTS = idr841wg0ysW.ULnjp6D6efFH[ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b1 + 0o57), 0b1000)] if axnxdawmCuz_ is None: axnxdawmCuz_ = oVre8I6UXc3b.niBS8zuJW5W8 if axnxdawmCuz_: oVre8I6UXc3b.Cgq7PMMVExUp = idr841wg0ysW.TRUOLFLuD08x[ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(9678 - 9567) + chr(961 - 913), 8)]
apache/incubator-mxnet	python/mxnet/module/python_module.py	PythonLossModule._backward_impl	def _backward_impl(self): """Actual implementation of the backward computation. The computation should take ``self._scores`` and ``self._labels`` and then compute the gradients with respect to the scores, store it as an `NDArray` in ``self._scores_grad``. Instead of defining a subclass and overriding this function, a more convenient way is to pass in a `grad_func` when constructing the module object. Then it will be called to compute the gradients. """ if self._grad_func is not None: grad = self._grad_func(self._scores, self._labels) if not isinstance(grad, nd.NDArray): grad = nd.array(grad) self._scores_grad = grad else: raise NotImplementedError()	python	def _backward_impl(self): """Actual implementation of the backward computation. The computation should take ``self._scores`` and ``self._labels`` and then compute the gradients with respect to the scores, store it as an `NDArray` in ``self._scores_grad``. Instead of defining a subclass and overriding this function, a more convenient way is to pass in a `grad_func` when constructing the module object. Then it will be called to compute the gradients. """ if self._grad_func is not None: grad = self._grad_func(self._scores, self._labels) if not isinstance(grad, nd.NDArray): grad = nd.array(grad) self._scores_grad = grad else: raise NotImplementedError()	[ "def", "_backward_impl", "(", "self", ")", ":", "if", "self", ".", "_grad_func", "is", "not", "None", ":", "grad", "=", "self", ".", "_grad_func", "(", "self", ".", "_scores", ",", "self", ".", "_labels", ")", "if", "not", "isinstance", "(", "grad", ",", "nd", ".", "NDArray", ")", ":", "grad", "=", "nd", ".", "array", "(", "grad", ")", "self", ".", "_scores_grad", "=", "grad", "else", ":", "raise", "NotImplementedError", "(", ")" ]	Actual implementation of the backward computation. The computation should take ``self._scores`` and ``self._labels`` and then compute the gradients with respect to the scores, store it as an `NDArray` in ``self._scores_grad``. Instead of defining a subclass and overriding this function, a more convenient way is to pass in a `grad_func` when constructing the module object. Then it will be called to compute the gradients.	[ "Actual", "implementation", "of", "the", "backward", "computation", ".", "The", "computation", "should", "take", "self", ".", "_scores", "and", "self", ".", "_labels", "and", "then", "compute", "the", "gradients", "with", "respect", "to", "the", "scores", "store", "it", "as", "an", "NDArray", "in", "self", ".", "_scores_grad", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/python_module.py#L331-L347	train	Actual implementation of the backward computation.	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(0b1000 + 0o53) + chr(55) + chr(2150 - 2102), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\x32' + chr(112 - 64) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(51) + chr(927 - 879), 63141 - 63133), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + '\062' + chr(2543 - 2491) + '\064', 56508 - 56500), ehT0Px3KOsy9(chr(1891 - 1843) + chr(5422 - 5311) + '\067' + chr(1522 - 1468), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1100 + 0o47) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\061' + chr(2498 - 2445), 44707 - 44699), ehT0Px3KOsy9(chr(711 - 663) + chr(0b1011010 + 0o25) + '\063' + '\063' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(0b1000 + 0o52) + '\064' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110011) + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b11110 + 0o121) + '\062' + chr(0b10101 + 0o37) + chr(1361 - 1309), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b101 + 0o55) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\x32' + '\x35' + chr(0b101001 + 0o14), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110001) + chr(0b110000), 2159 - 2151), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(0b110011) + chr(0b101001 + 0o14) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1180 - 1132) + chr(9138 - 9027) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\060' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x30' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b0 + 0o61) + chr(0b1111 + 0o42), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\x32' + '\x33' + chr(1937 - 1882), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1518 - 1469) + '\x34' + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(2577 - 2466) + chr(0b10010 + 0o41) + chr(2221 - 2172) + chr(1201 - 1148), 8), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b1110 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(154 - 99) + chr(1904 - 1849), 0b1000), ehT0Px3KOsy9('\060' + chr(9826 - 9715) + '\x33' + '\066' + chr(2793 - 2739), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(49) + chr(0b110111) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b11010 + 0o125) + chr(0b110001) + chr(147 - 94) + chr(0b110110), 34186 - 34178), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110011) + '\x31' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1603 - 1552) + '\x34' + '\x35', 3196 - 3188), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b101000 + 0o17) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8339 - 8228) + '\061' + '\064' + chr(55), 30025 - 30017), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110110) + chr(0b100001 + 0o23), 51219 - 51211), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(49) + '\063' + chr(0b100111 + 0o20), 0b1000), ehT0Px3KOsy9(chr(1965 - 1917) + chr(0b1101111) + '\062' + chr(0b10001 + 0o42) + '\x32', 19954 - 19946), ehT0Px3KOsy9('\x30' + chr(6374 - 6263) + chr(814 - 763) + chr(1988 - 1933) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(1321 - 1273) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(51) + chr(54) + chr(2298 - 2246), 0b1000), ehT0Px3KOsy9(chr(1314 - 1266) + '\157' + chr(49) + chr(0b110110) + '\065', 47666 - 47658), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101001 + 0o6) + chr(0b110011) + chr(0b110010), 16851 - 16843)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(1369 - 1316) + chr(0b110000), 33904 - 33896)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), '\144' + '\x65' + chr(0b1011010 + 0o11) + chr(0b1101111) + chr(0b11 + 0o141) + chr(0b1100101))(chr(0b1100000 + 0o25) + '\x74' + '\x66' + chr(101 - 56) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def fcf708KB88L1(oVre8I6UXc3b): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\xe2\xaa\xc5Z\xa6\xab\xa8\xcf\|'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + chr(5876 - 5774) + '\x2d' + chr(0b111000))) is not None: RF_2NucJiY7o = oVre8I6UXc3b._grad_func(oVre8I6UXc3b.GmVAtQrE0JTS, oVre8I6UXc3b.Cgq7PMMVExUp) if not PlSM16l2KDPD(RF_2NucJiY7o, xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xc1\x99\xd6L\x98\xb4'), chr(0b1011110 + 0o6) + '\145' + chr(99) + chr(0b1101001 + 0o6) + chr(0b1100100) + chr(0b1100001 + 0o4))(chr(9013 - 8896) + '\164' + chr(0b1100110) + chr(45) + '\x38'))): RF_2NucJiY7o = Vy_CFRcuYrTj.B0ePDhpqxN5n(RF_2NucJiY7o) oVre8I6UXc3b.g5wxIkNMDEoP = RF_2NucJiY7o else: raise _zJ24Vce7wp0()
apache/incubator-mxnet	python/mxnet/rnn/io.py	encode_sentences	def encode_sentences(sentences, vocab=None, invalid_label=-1, invalid_key='\n', start_label=0, unknown_token=None): """Encode sentences and (optionally) build a mapping from string tokens to integer indices. Unknown keys will be added to vocabulary. Parameters ---------- sentences : list of list of str A list of sentences to encode. Each sentence should be a list of string tokens. vocab : None or dict of str -> int Optional input Vocabulary invalid_label : int, default -1 Index for invalid token, like <end-of-sentence> invalid_key : str, default '\\n' Key for invalid token. Use '\\n' for end of sentence by default. start_label : int lowest index. unknown_token: str Symbol to represent unknown token. If not specified, unknown token will be skipped. Returns ------- result : list of list of int encoded sentences vocab : dict of str -> int result vocabulary """ idx = start_label if vocab is None: vocab = {invalid_key: invalid_label} new_vocab = True else: new_vocab = False res = [] for sent in sentences: coded = [] for word in sent: if word not in vocab: assert (new_vocab or unknown_token), "Unknown token %s"%word if idx == invalid_label: idx += 1 if unknown_token: word = unknown_token vocab[word] = idx idx += 1 coded.append(vocab[word]) res.append(coded) return res, vocab	python	def encode_sentences(sentences, vocab=None, invalid_label=-1, invalid_key='\n', start_label=0, unknown_token=None): """Encode sentences and (optionally) build a mapping from string tokens to integer indices. Unknown keys will be added to vocabulary. Parameters ---------- sentences : list of list of str A list of sentences to encode. Each sentence should be a list of string tokens. vocab : None or dict of str -> int Optional input Vocabulary invalid_label : int, default -1 Index for invalid token, like <end-of-sentence> invalid_key : str, default '\\n' Key for invalid token. Use '\\n' for end of sentence by default. start_label : int lowest index. unknown_token: str Symbol to represent unknown token. If not specified, unknown token will be skipped. Returns ------- result : list of list of int encoded sentences vocab : dict of str -> int result vocabulary """ idx = start_label if vocab is None: vocab = {invalid_key: invalid_label} new_vocab = True else: new_vocab = False res = [] for sent in sentences: coded = [] for word in sent: if word not in vocab: assert (new_vocab or unknown_token), "Unknown token %s"%word if idx == invalid_label: idx += 1 if unknown_token: word = unknown_token vocab[word] = idx idx += 1 coded.append(vocab[word]) res.append(coded) return res, vocab	[ "def", "encode_sentences", "(", "sentences", ",", "vocab", "=", "None", ",", "invalid_label", "=", "-", "1", ",", "invalid_key", "=", "'\\n'", ",", "start_label", "=", "0", ",", "unknown_token", "=", "None", ")", ":", "idx", "=", "start_label", "if", "vocab", "is", "None", ":", "vocab", "=", "{", "invalid_key", ":", "invalid_label", "}", "new_vocab", "=", "True", "else", ":", "new_vocab", "=", "False", "res", "=", "[", "]", "for", "sent", "in", "sentences", ":", "coded", "=", "[", "]", "for", "word", "in", "sent", ":", "if", "word", "not", "in", "vocab", ":", "assert", "(", "new_vocab", "or", "unknown_token", ")", ",", "\"Unknown token %s\"", "%", "word", "if", "idx", "==", "invalid_label", ":", "idx", "+=", "1", "if", "unknown_token", ":", "word", "=", "unknown_token", "vocab", "[", "word", "]", "=", "idx", "idx", "+=", "1", "coded", ".", "append", "(", "vocab", "[", "word", "]", ")", "res", ".", "append", "(", "coded", ")", "return", "res", ",", "vocab" ]	Encode sentences and (optionally) build a mapping from string tokens to integer indices. Unknown keys will be added to vocabulary. Parameters ---------- sentences : list of list of str A list of sentences to encode. Each sentence should be a list of string tokens. vocab : None or dict of str -> int Optional input Vocabulary invalid_label : int, default -1 Index for invalid token, like <end-of-sentence> invalid_key : str, default '\\n' Key for invalid token. Use '\\n' for end of sentence by default. start_label : int lowest index. unknown_token: str Symbol to represent unknown token. If not specified, unknown token will be skipped. Returns ------- result : list of list of int encoded sentences vocab : dict of str -> int result vocabulary	[ "Encode", "sentences", "and", "(", "optionally", ")", "build", "a", "mapping", "from", "string", "tokens", "to", "integer", "indices", ".", "Unknown", "keys", "will", "be", "added", "to", "vocabulary", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/io.py#L30-L82	train	Encode sentences and build a mapping from string tokens to integer indices.	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) + chr(49) + '\x30' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(5589 - 5478) + chr(0b100000 + 0o23) + chr(0b110001) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100010 + 0o20) + '\x36' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o62) + '\062' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(7376 - 7265) + chr(279 - 230) + chr(497 - 444) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b110000) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(956 - 902) + '\063', 0b1000), ehT0Px3KOsy9(chr(2038 - 1990) + chr(0b1101111) + chr(0b110011) + chr(1041 - 992), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x31' + '\063', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\061' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10010 + 0o37) + chr(0b1111 + 0o41) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + chr(0b110011) + chr(619 - 570) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2512 - 2401) + chr(0b110 + 0o55) + chr(445 - 392) + '\x31', 10100 - 10092), ehT0Px3KOsy9(chr(755 - 707) + chr(651 - 540) + chr(51) + chr(0b110001) + chr(1079 - 1026), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\061' + '\x32' + '\x32', 15654 - 15646), ehT0Px3KOsy9(chr(0b110000) + chr(2445 - 2334) + chr(0b1011 + 0o47) + chr(0b100011 + 0o21) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1443 - 1332) + '\x31' + '\x36' + chr(0b110000), 61048 - 61040), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\x35' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b110001) + chr(0b110011) + chr(0b101100 + 0o5), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x36' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\065' + chr(0b110011), 36645 - 36637), ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + '\x33' + chr(0b11000 + 0o33) + chr(1742 - 1690), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(0b100100 + 0o17) + chr(1360 - 1312) + chr(0b1100 + 0o50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(0b100100 + 0o17) + chr(53) + chr(0b101111 + 0o10), 41323 - 41315), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b110001) + chr(0b110001) + chr(0b101010 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1536 - 1482) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o54) + chr(0b100111 + 0o14) + '\x31', 10470 - 10462), ehT0Px3KOsy9(chr(2212 - 2164) + chr(0b1101111) + chr(0b100110 + 0o15) + chr(0b1000 + 0o51) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1788 - 1737) + chr(49) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(2860 - 2749) + chr(0b101011 + 0o10) + chr(0b0 + 0o61) + chr(0b10010 + 0o41), 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\x33' + chr(50) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x31' + '\x33' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(52) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + '\x32' + chr(51) + '\x36', 46941 - 46933), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + '\x32' + chr(0b11111 + 0o25), 0b1000), ehT0Px3KOsy9(chr(328 - 280) + '\157' + '\x31' + chr(0b1111 + 0o42) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(2090 - 2038) + '\x31', 54355 - 54347)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(1254 - 1143) + chr(0b100011 + 0o22) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), '\x64' + chr(0b1100101) + '\x63' + '\157' + chr(100) + chr(0b1100101))(chr(0b11010 + 0o133) + chr(9816 - 9700) + chr(0b1010100 + 0o22) + '\055' + chr(0b100001 + 0o27)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def _4uHDTpkfTjD(tqdrVw7QhW0i, mSU6gEqYPk2T=None, eow75c50E7wm=-ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + '\x31', ord("\x08")), LzlbqdRhXbEw=xafqLlk3kkUe(SXOLrMavuUCe(b'K'), '\x64' + chr(101) + chr(0b1100010 + 0o1) + chr(0b101110 + 0o101) + chr(0b110010 + 0o62) + chr(9160 - 9059))(chr(0b10011 + 0o142) + chr(0b111111 + 0o65) + chr(5044 - 4942) + chr(45) + chr(1901 - 1845)), AnZ6y1ImzNwJ=ehT0Px3KOsy9('\x30' + chr(111) + chr(757 - 709), 13088 - 13080), JmyacsA_aKcD=None): YlqusYB6InkM = AnZ6y1ImzNwJ if mSU6gEqYPk2T is None: mSU6gEqYPk2T = {LzlbqdRhXbEw: eow75c50E7wm} qZj_k7FHQklB = ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8) else: qZj_k7FHQklB = ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', 8) MsbwfslwLjRO = [] for FELgQL7dD3el in tqdrVw7QhW0i: _6aBKOExIcU7 = [] for CWnx52wJLqEN in FELgQL7dD3el: if CWnx52wJLqEN not in mSU6gEqYPk2T: assert qZj_k7FHQklB or JmyacsA_aKcD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xa5\xda\xff\x03\xb7\x1d9\xbf\xa3/\xafi\x13\xcc\xbe'), chr(5077 - 4977) + chr(0b1011110 + 0o7) + '\x63' + chr(612 - 501) + chr(0b1100001 + 0o3) + '\x65')(chr(117) + chr(116) + chr(819 - 717) + chr(582 - 537) + chr(0b101111 + 0o11)) % CWnx52wJLqEN if YlqusYB6InkM == eow75c50E7wm: YlqusYB6InkM += ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(0b110001), 8) if JmyacsA_aKcD: CWnx52wJLqEN = JmyacsA_aKcD mSU6gEqYPk2T[CWnx52wJLqEN] = YlqusYB6InkM YlqusYB6InkM += ehT0Px3KOsy9(chr(1367 - 1319) + chr(0b1001011 + 0o44) + chr(0b100001 + 0o20), 8) xafqLlk3kkUe(_6aBKOExIcU7, xafqLlk3kkUe(SXOLrMavuUCe(b' \xbb\xc1\xf4\x02\xa4'), chr(2861 - 2761) + chr(0b1001110 + 0o27) + '\143' + chr(425 - 314) + chr(0b1100100) + chr(0b111111 + 0o46))(chr(117) + '\164' + '\x66' + chr(0b101101) + '\x38'))(mSU6gEqYPk2T[CWnx52wJLqEN]) xafqLlk3kkUe(MsbwfslwLjRO, xafqLlk3kkUe(SXOLrMavuUCe(b' \xbb\xc1\xf4\x02\xa4'), chr(0b110100 + 0o60) + chr(10045 - 9944) + chr(0b111111 + 0o44) + '\x6f' + '\144' + '\x65')(chr(4797 - 4680) + chr(0b1011111 + 0o25) + '\146' + chr(0b101101) + '\070'))(_6aBKOExIcU7) return (MsbwfslwLjRO, mSU6gEqYPk2T)
apache/incubator-mxnet	python/mxnet/rnn/io.py	BucketSentenceIter.reset	def reset(self): """Resets the iterator to the beginning of the data.""" self.curr_idx = 0 random.shuffle(self.idx) for buck in self.data: np.random.shuffle(buck) self.nddata = [] self.ndlabel = [] for buck in self.data: label = np.empty_like(buck) label[:, :-1] = buck[:, 1:] label[:, -1] = self.invalid_label self.nddata.append(ndarray.array(buck, dtype=self.dtype)) self.ndlabel.append(ndarray.array(label, dtype=self.dtype))	python	def reset(self): """Resets the iterator to the beginning of the data.""" self.curr_idx = 0 random.shuffle(self.idx) for buck in self.data: np.random.shuffle(buck) self.nddata = [] self.ndlabel = [] for buck in self.data: label = np.empty_like(buck) label[:, :-1] = buck[:, 1:] label[:, -1] = self.invalid_label self.nddata.append(ndarray.array(buck, dtype=self.dtype)) self.ndlabel.append(ndarray.array(label, dtype=self.dtype))	[ "def", "reset", "(", "self", ")", ":", "self", ".", "curr_idx", "=", "0", "random", ".", "shuffle", "(", "self", ".", "idx", ")", "for", "buck", "in", "self", ".", "data", ":", "np", ".", "random", ".", "shuffle", "(", "buck", ")", "self", ".", "nddata", "=", "[", "]", "self", ".", "ndlabel", "=", "[", "]", "for", "buck", "in", "self", ".", "data", ":", "label", "=", "np", ".", "empty_like", "(", "buck", ")", "label", "[", ":", ",", ":", "-", "1", "]", "=", "buck", "[", ":", ",", "1", ":", "]", "label", "[", ":", ",", "-", "1", "]", "=", "self", ".", "invalid_label", "self", ".", "nddata", ".", "append", "(", "ndarray", ".", "array", "(", "buck", ",", "dtype", "=", "self", ".", "dtype", ")", ")", "self", ".", "ndlabel", ".", "append", "(", "ndarray", ".", "array", "(", "label", ",", "dtype", "=", "self", ".", "dtype", ")", ")" ]	Resets the iterator to the beginning of the data.	[ "Resets", "the", "iterator", "to", "the", "beginning", "of", "the", "data", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/io.py#L174-L188	train	Resets the iterator to the beginning of the 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('\060' + '\x6f' + chr(0b101101 + 0o4) + chr(53) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(54) + chr(1895 - 1840), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(1423 - 1373) + chr(2329 - 2280) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(910 - 799) + chr(0b10 + 0o61) + chr(0b110001) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100101 + 0o14) + chr(190 - 138) + chr(1341 - 1290), 0o10), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(626 - 577) + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000 + 0o1) + '\065' + chr(0b11011 + 0o31), 39491 - 39483), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(966 - 916) + chr(0b101011 + 0o12) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(48) + '\x31', 11048 - 11040), ehT0Px3KOsy9(chr(849 - 801) + '\157' + '\x32' + '\x33' + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(51) + '\x37', 17454 - 17446), ehT0Px3KOsy9(chr(558 - 510) + '\157' + '\062' + chr(1903 - 1849) + chr(2303 - 2250), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b11101 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(2200 - 2152) + chr(0b100010 + 0o115) + chr(0b110010) + '\x37' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + chr(1157 - 1107) + chr(0b110100) + '\x35', 57551 - 57543), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(49) + chr(2208 - 2157) + '\060', 35742 - 35734), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110001) + '\x31' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b100001 + 0o22), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10611 - 10500) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(0b110001) + chr(1033 - 982) + chr(2334 - 2282), 16591 - 16583), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b101110 + 0o4) + '\061' + '\060', 37175 - 37167), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + '\066' + chr(0b101101 + 0o3), 9984 - 9976), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111 + 0o0) + chr(0b100010 + 0o20) + '\061' + chr(0b1010 + 0o46), 8), ehT0Px3KOsy9(chr(840 - 792) + chr(7194 - 7083) + chr(0b10011 + 0o40) + '\x34' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(481 - 433) + chr(2388 - 2277) + '\062' + chr(53) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110110) + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x36' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\062' + chr(1259 - 1211), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\061' + chr(0b110001 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + '\062' + chr(0b10 + 0o57), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b10 + 0o62) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(0b101110 + 0o7), 0o10), ehT0Px3KOsy9(chr(1422 - 1374) + chr(0b1101111) + chr(0b110010) + chr(0b10 + 0o56) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x31' + chr(0b110000) + chr(0b11100 + 0o26), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4191 - 4080) + chr(1560 - 1511) + '\063' + chr(0b110111), 18088 - 18080), ehT0Px3KOsy9('\060' + '\157' + chr(0b110000 + 0o7) + chr(0b110 + 0o54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(61 - 11), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1000100 + 0o53) + chr(0b110011) + '\x32' + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'A'), chr(100) + chr(101) + '\143' + '\x6f' + chr(5068 - 4968) + '\145')(chr(4858 - 4741) + '\x74' + '\x66' + chr(0b101101) + chr(1801 - 1745)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def G0V856pwkJmZ(oVre8I6UXc3b): oVre8I6UXc3b.L4CrZgoBjkR4 = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', ord("\x08")) xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c_\xf8q\xaa\x0f7'), chr(100) + '\145' + '\143' + chr(0b11100 + 0o123) + chr(2740 - 2640) + chr(4902 - 4801))('\165' + chr(116) + chr(0b100000 + 0o106) + chr(0b101101 + 0o0) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'6[\xfcb\xbf:\x10Z\xe3/\xf1R'), chr(2834 - 2734) + '\145' + '\143' + chr(0b1010001 + 0o36) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + '\x66' + '\055' + chr(0b111000)))) for kLfQNj3Wf7jr in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b":{\xe3}\xbcU\x16Z\xcf'\xdcW"), '\144' + '\x65' + '\143' + chr(111) + '\144' + '\x65')('\x75' + chr(116) + '\x66' + chr(233 - 188) + '\070')): xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c_\xf8q\xaa\x0f7'), chr(0b111010 + 0o52) + chr(7727 - 7626) + chr(4795 - 4696) + chr(3899 - 3788) + '\144' + '\x65')(chr(117) + chr(116) + '\x66' + chr(736 - 691) + chr(56)))(kLfQNj3Wf7jr) oVre8I6UXc3b.AXnYJXcCaWRF = [] oVre8I6UXc3b.RnGqRy1AKd0w = [] for kLfQNj3Wf7jr in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b":{\xe3}\xbcU\x16Z\xcf'\xdcW"), chr(0b1100100) + chr(101) + '\x63' + chr(11350 - 11239) + chr(100) + '\x65')('\x75' + '\x74' + chr(0b1100110) + chr(0b10111 + 0o26) + chr(0b100111 + 0o21))): TRUOLFLuD08x = WqUC3KWvYVup.empty_like(kLfQNj3Wf7jr) TRUOLFLuD08x[:, :-ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + '\x31', 8)] = kLfQNj3Wf7jr[:, ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8):] TRUOLFLuD08x[:, -ehT0Px3KOsy9(chr(0b110000) + chr(10571 - 10460) + '\x31', 8)] = oVre8I6UXc3b.invalid_label xafqLlk3kkUe(oVre8I6UXc3b.nddata, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0eG\xfdr\xa2\x07'), chr(2208 - 2108) + '\x65' + chr(6492 - 6393) + chr(0b10101 + 0o132) + chr(0b1100100) + chr(0b10 + 0o143))(chr(0b1101011 + 0o12) + chr(0b10100 + 0o140) + '\146' + chr(0b101101) + chr(0b10100 + 0o44)))(xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x07\xe8G\x88\x0b"\x1d\xd2\x0f\xafq'), chr(100) + chr(101) + '\x63' + '\x6f' + '\144' + '\145')('\165' + chr(116) + chr(0b1001001 + 0o35) + '\055' + chr(56)))(kLfQNj3Wf7jr, dtype=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05d\xdb.\x85(<\t\xc7\t\xadT'), chr(0b1100100) + chr(0b110101 + 0o60) + chr(0b111111 + 0o44) + chr(0b1011111 + 0o20) + chr(0b1100100) + chr(0b1010100 + 0o21))(chr(9011 - 8894) + chr(116) + '\x66' + chr(0b101101) + '\070')))) xafqLlk3kkUe(oVre8I6UXc3b.ndlabel, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0eG\xfdr\xa2\x07'), chr(0b100000 + 0o104) + chr(101) + chr(3424 - 3325) + chr(0b1101111) + '\x64' + chr(0b11 + 0o142))(chr(117) + chr(4625 - 4509) + chr(3675 - 3573) + chr(1905 - 1860) + '\x38'))(xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x07\xe8G\x88\x0b"\x1d\xd2\x0f\xafq'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + chr(102) + chr(0b100111 + 0o6) + '\x38'))(TRUOLFLuD08x, dtype=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05d\xdb.\x85(<\t\xc7\t\xadT'), '\x64' + chr(7543 - 7442) + chr(99) + chr(631 - 520) + chr(9309 - 9209) + '\145')(chr(6329 - 6212) + chr(0b110111 + 0o75) + '\x66' + chr(869 - 824) + chr(0b111000)))))
apache/incubator-mxnet	python/mxnet/rnn/io.py	BucketSentenceIter.next	def next(self): """Returns the next batch of data.""" if self.curr_idx == len(self.idx): raise StopIteration i, j = self.idx[self.curr_idx] self.curr_idx += 1 if self.major_axis == 1: data = self.nddata[i][j:j+self.batch_size].T label = self.ndlabel[i][j:j+self.batch_size].T else: data = self.nddata[i][j:j+self.batch_size] label = self.ndlabel[i][j:j+self.batch_size] return DataBatch([data], [label], pad=0, bucket_key=self.buckets[i], provide_data=[DataDesc( name=self.data_name, shape=data.shape, layout=self.layout)], provide_label=[DataDesc( name=self.label_name, shape=label.shape, layout=self.layout)])	python	def next(self): """Returns the next batch of data.""" if self.curr_idx == len(self.idx): raise StopIteration i, j = self.idx[self.curr_idx] self.curr_idx += 1 if self.major_axis == 1: data = self.nddata[i][j:j+self.batch_size].T label = self.ndlabel[i][j:j+self.batch_size].T else: data = self.nddata[i][j:j+self.batch_size] label = self.ndlabel[i][j:j+self.batch_size] return DataBatch([data], [label], pad=0, bucket_key=self.buckets[i], provide_data=[DataDesc( name=self.data_name, shape=data.shape, layout=self.layout)], provide_label=[DataDesc( name=self.label_name, shape=label.shape, layout=self.layout)])	[ "def", "next", "(", "self", ")", ":", "if", "self", ".", "curr_idx", "==", "len", "(", "self", ".", "idx", ")", ":", "raise", "StopIteration", "i", ",", "j", "=", "self", ".", "idx", "[", "self", ".", "curr_idx", "]", "self", ".", "curr_idx", "+=", "1", "if", "self", ".", "major_axis", "==", "1", ":", "data", "=", "self", ".", "nddata", "[", "i", "]", "[", "j", ":", "j", "+", "self", ".", "batch_size", "]", ".", "T", "label", "=", "self", ".", "ndlabel", "[", "i", "]", "[", "j", ":", "j", "+", "self", ".", "batch_size", "]", ".", "T", "else", ":", "data", "=", "self", ".", "nddata", "[", "i", "]", "[", "j", ":", "j", "+", "self", ".", "batch_size", "]", "label", "=", "self", ".", "ndlabel", "[", "i", "]", "[", "j", ":", "j", "+", "self", ".", "batch_size", "]", "return", "DataBatch", "(", "[", "data", "]", ",", "[", "label", "]", ",", "pad", "=", "0", ",", "bucket_key", "=", "self", ".", "buckets", "[", "i", "]", ",", "provide_data", "=", "[", "DataDesc", "(", "name", "=", "self", ".", "data_name", ",", "shape", "=", "data", ".", "shape", ",", "layout", "=", "self", ".", "layout", ")", "]", ",", "provide_label", "=", "[", "DataDesc", "(", "name", "=", "self", ".", "label_name", ",", "shape", "=", "label", ".", "shape", ",", "layout", "=", "self", ".", "layout", ")", "]", ")" ]	Returns the next batch of data.	[ "Returns", "the", "next", "batch", "of", "data", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/io.py#L190-L211	train	Returns the next batch of 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(chr(0b110000) + chr(0b110101 + 0o72) + '\061' + chr(0b11001 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110001) + '\062', 1546 - 1538), ehT0Px3KOsy9(chr(1283 - 1235) + '\157' + chr(49) + '\x33' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(55) + '\060', 10649 - 10641), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(392 - 339), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(5008 - 4897) + chr(0b100001 + 0o22) + '\x30' + chr(0b110001 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\x33' + '\x35' + chr(575 - 524), 15404 - 15396), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1100 + 0o143) + chr(0b110010) + '\063', 53139 - 53131), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(183 - 133) + '\x35' + chr(50), 1176 - 1168), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x37' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\062' + chr(2331 - 2282), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x33', 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\066' + '\061', 24664 - 24656), ehT0Px3KOsy9(chr(669 - 621) + chr(0b1000110 + 0o51) + chr(0b110011) + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9(chr(2288 - 2240) + chr(0b101101 + 0o102) + chr(0b100011 + 0o17) + chr(49) + chr(0b10100 + 0o42), 17358 - 17350), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(8080 - 7969) + chr(1121 - 1070) + '\065' + chr(51), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\065' + chr(0b110101), 8776 - 8768), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + '\062' + '\061' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110010) + chr(0b101000 + 0o12), 32370 - 32362), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(51) + chr(0b110001) + '\062', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\060' + chr(0b101101 + 0o10), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\x34' + '\x32', 43672 - 43664), ehT0Px3KOsy9(chr(1107 - 1059) + chr(0b111000 + 0o67) + chr(1229 - 1179) + chr(0b110101) + chr(0b111 + 0o60), 21734 - 21726), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + '\x31' + '\067' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(413 - 365) + '\157' + '\062' + chr(0b100110 + 0o20) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(1417 - 1306) + chr(0b110011) + chr(53) + chr(0b110100), 63770 - 63762), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(784 - 729), 0b1000), ehT0Px3KOsy9(chr(737 - 689) + chr(111) + chr(0b11111 + 0o24) + chr(0b110111) + '\x34', 25796 - 25788), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(845 - 796) + chr(676 - 624) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + chr(49) + chr(889 - 835) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b101001 + 0o13) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1272 - 1220) + chr(1227 - 1174), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\063' + chr(0b11101 + 0o30) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(53) + chr(0b11001 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\067' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\064' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1413 - 1365) + chr(378 - 267) + chr(50) + '\x36' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1000 + 0o51) + chr(282 - 227) + chr(50), 7423 - 7415), ehT0Px3KOsy9(chr(0b110000) + chr(2172 - 2061) + chr(49) + '\x36' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o52) + chr(0b110111) + chr(51), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'%'), '\144' + '\x65' + chr(0b1100011) + chr(0b1100101 + 0o12) + chr(100) + '\145')('\x75' + chr(116) + chr(0b1011111 + 0o7) + chr(845 - 800) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def nSwwHEeM4cxI(oVre8I6UXc3b): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"G\xfe\x1d\xcaG\xa4\x84Q\xc0\x95\x83'"), chr(0b11 + 0o141) + '\x65' + chr(8691 - 8592) + chr(111) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + chr(9452 - 9350) + chr(0b11111 + 0o16) + chr(56))) == c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'R\xa6/\xcdn\x9a\xa9%\xe3\x90\xba^'), chr(100) + chr(101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b10010 + 0o142) + '\146' + chr(45) + chr(1547 - 1491)))): raise hr2QaoivbFQ2 (WVxHKyX45z_L, tlORBuYsiw3X) = oVre8I6UXc3b.YlqusYB6InkM[oVre8I6UXc3b.L4CrZgoBjkR4] oVre8I6UXc3b.L4CrZgoBjkR4 += ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 0o10) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'f\xab4\xd7o\x9c\x8ak\xc3\x8d'), chr(0b1100100) + '\145' + chr(0b1011110 + 0o5) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(2798 - 2742))) == ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8): ULnjp6D6efFH = oVre8I6UXc3b.nddata[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + oVre8I6UXc3b.batch_size].T TRUOLFLuD08x = oVre8I6UXc3b.ndlabel[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + oVre8I6UXc3b.batch_size].T else: ULnjp6D6efFH = oVre8I6UXc3b.AXnYJXcCaWRF[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + oVre8I6UXc3b.ix9dZyeAmUxY] TRUOLFLuD08x = oVre8I6UXc3b.RnGqRy1AKd0w[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + oVre8I6UXc3b.ix9dZyeAmUxY] return qiHoopmxV1jh([ULnjp6D6efFH], [TRUOLFLuD08x], pad=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), ord("\x08")), bucket_key=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'i\xbf=\xd3x\xb7\x98'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + chr(293 - 193) + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b100001 + 0o27)))[WVxHKyX45z_L], provide_data=[QGNCb0u8kPLl(name=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xbf\x11\xffS\xf2\x8d~\xcc\xad\xe9"'), chr(1212 - 1112) + chr(0b1100101) + chr(99) + chr(0b11110 + 0o121) + chr(0b1100100) + '\145')(chr(0b10011 + 0o142) + chr(8854 - 8738) + chr(102) + chr(45) + chr(0b0 + 0o70))), shape=xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'e\xab+\xe1{\x8f\x8c\x7f\xfe\x8e\xb2q'), chr(0b1100100) + '\145' + chr(0b1010100 + 0o17) + chr(2964 - 2853) + chr(5095 - 4995) + chr(0b1100101))(chr(117) + '\x74' + chr(102) + '\x2d' + '\070')), layout=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'C\x8e\x16\x8fR\x86\x9cI\xdf\xba\xb0{'), chr(4363 - 4263) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(13068 - 12951) + '\164' + '\146' + chr(45) + chr(0b111000))))], provide_label=[QGNCb0u8kPLl(name=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x9a9\xf9R\xac\xa0c\xee\x93\xbe@'), '\144' + chr(101) + '\x63' + '\x6f' + '\x64' + chr(101))(chr(9661 - 9544) + '\164' + chr(102) + chr(0b101101) + chr(0b1011 + 0o55))), shape=xafqLlk3kkUe(TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b'e\xab+\xe1{\x8f\x8c\x7f\xfe\x8e\xb2q'), chr(0b1100100) + chr(886 - 785) + chr(99) + chr(219 - 108) + chr(0b1100100) + '\x65')('\165' + chr(975 - 859) + chr(102) + chr(1916 - 1871) + '\x38')), layout=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'C\x8e\x16\x8fR\x86\x9cI\xdf\xba\xb0{'), '\x64' + '\x65' + '\143' + '\157' + chr(9428 - 9328) + '\145')(chr(6781 - 6664) + chr(0b1010000 + 0o44) + '\146' + '\055' + chr(0b111000))))])
apache/incubator-mxnet	example/speech_recognition/singleton.py	Singleton.getInstance	def getInstance(self): """ Returns the singleton instance. Upon its first call, it creates a new instance of the decorated class and calls its `__init__` method. On all subsequent calls, the already created instance is returned. """ try: return self._instance except AttributeError: self._instance = self._decorated() return self._instance	python	def getInstance(self): """ Returns the singleton instance. Upon its first call, it creates a new instance of the decorated class and calls its `__init__` method. On all subsequent calls, the already created instance is returned. """ try: return self._instance except AttributeError: self._instance = self._decorated() return self._instance	[ "def", "getInstance", "(", "self", ")", ":", "try", ":", "return", "self", ".", "_instance", "except", "AttributeError", ":", "self", ".", "_instance", "=", "self", ".", "_decorated", "(", ")", "return", "self", ".", "_instance" ]	Returns the singleton instance. Upon its first call, it creates a new instance of the decorated class and calls its `__init__` method. On all subsequent calls, the already created instance is returned.	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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(9123 - 9012) + chr(52) + '\061', 20960 - 20952), ehT0Px3KOsy9(chr(48) + chr(0b11101 + 0o122) + '\x31' + chr(199 - 148), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6820 - 6709) + chr(49) + chr(0b10101 + 0o33) + chr(0b110100), 65197 - 65189), ehT0Px3KOsy9(chr(48) + chr(111) + '\066' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(49) + chr(51) + chr(0b11100 + 0o27), 63589 - 63581), ehT0Px3KOsy9(chr(48) + chr(906 - 795) + chr(550 - 500) + chr(0b110101) + '\061', 8138 - 8130), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + chr(0b1 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\x32' + '\066' + chr(2186 - 2134), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + '\x37' + chr(0b110101), 23305 - 23297), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1450 - 1399) + chr(0b11011 + 0o30) + chr(0b110000), 6463 - 6455), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\061' + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1306 - 1257) + chr(0b10000 + 0o45) + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1790 - 1741) + '\x34' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(52) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x35' + chr(2285 - 2233), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b1001 + 0o51) + chr(0b110100) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1134 - 1086) + '\157' + chr(211 - 161) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b1110 + 0o44) + chr(0b110010) + chr(2897 - 2843), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + chr(2177 - 2128) + '\x30' + chr(0b110101 + 0o0), 0o10), ehT0Px3KOsy9(chr(1233 - 1185) + chr(0b1100110 + 0o11) + chr(0b1110 + 0o45) + chr(1822 - 1767) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b100111 + 0o110) + '\061' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(2527 - 2476) + chr(0b110011) + chr(798 - 745), 8544 - 8536), ehT0Px3KOsy9(chr(1424 - 1376) + chr(0b1101111) + '\061' + chr(0b11110 + 0o31) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\067' + chr(1403 - 1355), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x37' + chr(0b1 + 0o66), 0b1000), ehT0Px3KOsy9('\x30' + chr(4217 - 4106) + '\x35' + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10110 + 0o35) + chr(0b110011) + '\x30', 8), ehT0Px3KOsy9(chr(727 - 679) + chr(111) + chr(49) + '\066' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110011 + 0o1) + chr(0b100010 + 0o21), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1929 - 1880) + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7702 - 7591) + chr(0b110001) + '\x36' + '\x35', 57369 - 57361), ehT0Px3KOsy9('\x30' + chr(9235 - 9124) + '\x31' + chr(0b110110) + chr(798 - 750), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\064' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(455 - 405) + chr(492 - 438) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(573 - 525) + '\x6f' + chr(49) + '\x36' + chr(0b110111), 47221 - 47213), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(49) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(2272 - 2221) + '\x32' + chr(1824 - 1772), ord("\x08")), ehT0Px3KOsy9(chr(1670 - 1622) + chr(0b1101111) + chr(0b1101 + 0o45) + chr(1060 - 1006) + chr(50), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(11981 - 11870) + chr(0b101111 + 0o6) + chr(1322 - 1274), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), '\144' + chr(101) + chr(0b1000101 + 0o36) + chr(111) + '\x64' + '\x65')(chr(13107 - 12990) + chr(9697 - 9581) + chr(6866 - 6764) + chr(484 - 439) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def sPEA1QhfL16k(oVre8I6UXc3b): try: return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'~bD/\xc8]\xd7X'), '\x64' + '\145' + '\143' + '\x6f' + chr(246 - 146) + chr(7118 - 7017))('\x75' + chr(0b1110100) + chr(0b11100 + 0o112) + chr(0b101101) + chr(0b10010 + 0o46))) except sHOWSIAKtU58: oVre8I6UXc3b.e_1SquUywMT2 = oVre8I6UXc3b._decorated() return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'DTud\xdcf\xcdJ\x95 ]'), chr(0b1011100 + 0o10) + chr(101) + '\x63' + chr(0b1100101 + 0o12) + chr(6831 - 6731) + chr(0b1001011 + 0o32))(chr(0b10000 + 0o145) + chr(2523 - 2407) + chr(102) + chr(45) + chr(0b111000)))
apache/incubator-mxnet	example/gluon/lipnet/infer.py	main	def main(): """ Description : run lipnet training code using argument info """ parser = argparse.ArgumentParser() parser.add_argument('--batch_size', type=int, default=64) parser.add_argument('--image_path', type=str, default='./data/datasets/') parser.add_argument('--align_path', type=str, default='./data/align/') parser.add_argument('--num_gpus', type=int, default=1) parser.add_argument('--num_workers', type=int, default=0) parser.add_argument('--data_type', type=str, default='valid') parser.add_argument('--model_path', type=str, default=None) config = parser.parse_args() trainer = Train(config) trainer.build_model(path=config.model_path) trainer.load_dataloader() if config.data_type == 'train': data_loader = trainer.train_dataloader elif config.data_type == 'valid': data_loader = trainer.valid_dataloader trainer.infer_batch(data_loader)	python	def main(): """ Description : run lipnet training code using argument info """ parser = argparse.ArgumentParser() parser.add_argument('--batch_size', type=int, default=64) parser.add_argument('--image_path', type=str, default='./data/datasets/') parser.add_argument('--align_path', type=str, default='./data/align/') parser.add_argument('--num_gpus', type=int, default=1) parser.add_argument('--num_workers', type=int, default=0) parser.add_argument('--data_type', type=str, default='valid') parser.add_argument('--model_path', type=str, default=None) config = parser.parse_args() trainer = Train(config) trainer.build_model(path=config.model_path) trainer.load_dataloader() if config.data_type == 'train': data_loader = trainer.train_dataloader elif config.data_type == 'valid': data_loader = trainer.valid_dataloader trainer.infer_batch(data_loader)	[ "def", "main", "(", ")", ":", "parser", "=", "argparse", ".", "ArgumentParser", "(", ")", "parser", ".", "add_argument", "(", "'--batch_size'", ",", "type", "=", "int", ",", "default", "=", "64", ")", "parser", ".", "add_argument", "(", "'--image_path'", ",", "type", "=", "str", ",", "default", "=", "'./data/datasets/'", ")", "parser", ".", "add_argument", "(", "'--align_path'", ",", "type", "=", "str", ",", "default", "=", "'./data/align/'", ")", "parser", ".", "add_argument", "(", "'--num_gpus'", ",", "type", "=", "int", ",", "default", "=", "1", ")", "parser", ".", "add_argument", "(", "'--num_workers'", ",", "type", "=", "int", ",", "default", "=", "0", ")", "parser", ".", "add_argument", "(", "'--data_type'", ",", "type", "=", "str", ",", "default", "=", "'valid'", ")", "parser", ".", "add_argument", "(", "'--model_path'", ",", "type", "=", "str", ",", "default", "=", "None", ")", "config", "=", "parser", ".", "parse_args", "(", ")", "trainer", "=", "Train", "(", "config", ")", "trainer", ".", "build_model", "(", "path", "=", "config", ".", "model_path", ")", "trainer", ".", "load_dataloader", "(", ")", "if", "config", ".", "data_type", "==", "'train'", ":", "data_loader", "=", "trainer", ".", "train_dataloader", "elif", "config", ".", "data_type", "==", "'valid'", ":", "data_loader", "=", "trainer", ".", "valid_dataloader", "trainer", ".", "infer_batch", "(", "data_loader", ")" ]	Description : run lipnet training code using argument info	[ "Description", ":", "run", "lipnet", "training", "code", "using", "argument", "info" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/infer.py#L26-L48	train	This function is called by the command line interface to run lipnet training code using argument info	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(0b10101 + 0o33) + '\x6f' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + chr(0b110011) + chr(892 - 839) + chr(0b110001), 11389 - 11381), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x37' + chr(0b100001 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1000101 + 0o52) + chr(50) + '\x32' + chr(0b10010 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b111010 + 0o65) + chr(49) + chr(50) + chr(54), 0b1000), ehT0Px3KOsy9(chr(945 - 897) + '\x6f' + chr(49) + '\x35' + chr(0b11010 + 0o30), 57223 - 57215), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(970 - 920) + chr(0b110010) + chr(51), 51196 - 51188), ehT0Px3KOsy9(chr(2239 - 2191) + chr(111) + '\x31' + chr(2530 - 2479), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x30' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110010) + chr(0b10101 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1451 - 1398) + chr(2287 - 2237), 8822 - 8814), ehT0Px3KOsy9('\x30' + '\157' + chr(1183 - 1132) + '\x36' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b110010) + '\x36' + '\x30', 0b1000), ehT0Px3KOsy9(chr(2287 - 2239) + chr(0b1101111) + '\061' + '\063' + chr(48), 31600 - 31592), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(1357 - 1307) + chr(1839 - 1787) + chr(1084 - 1030), 36454 - 36446), ehT0Px3KOsy9('\x30' + '\157' + chr(1095 - 1040) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(12111 - 12000) + chr(0b10010 + 0o41) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(5141 - 5030) + chr(2239 - 2188) + chr(1612 - 1560), 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b110010) + chr(49) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(4765 - 4654) + '\x34' + chr(884 - 834), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(55) + chr(0b110 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b110011) + chr(55) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b1010 + 0o51) + chr(48), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b110011) + '\063' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b110001 + 0o0) + chr(0b1 + 0o66) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(52) + '\061', 10087 - 10079), ehT0Px3KOsy9('\x30' + chr(111) + chr(2303 - 2252) + '\x32' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(52) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1847 - 1799) + '\157' + chr(0b1101 + 0o46) + '\x35' + chr(0b100111 + 0o12), 8), ehT0Px3KOsy9(chr(501 - 453) + '\x6f' + chr(53) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(51) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2386 - 2336) + '\x31' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b10101 + 0o41) + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\064' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(53) + chr(0b101011 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\063' + chr(0b11100 + 0o33) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x30' + chr(164 - 112), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(0b10010 + 0o37) + chr(983 - 935) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + '\x65' + chr(0b101100 + 0o67) + '\x6f' + '\x64' + chr(0b110111 + 0o56))('\x75' + chr(0b1100010 + 0o22) + '\146' + chr(0b10001 + 0o34) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def PGNrezus7XpS(): uvsdWIii6oeC = J3PV4AmS6TTH.ArgumentParser() xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8d\x1e\xc97\x18\xf4~\xef\xf1D\x85'), '\144' + '\x65' + chr(99) + '\157' + '\144' + chr(101))(chr(117) + '\164' + '\x66' + '\x2d' + chr(1311 - 1255)))(xafqLlk3kkUe(SXOLrMavuUCe(b')\xc4\x18\xf7"\t\xfbT\xf1\xfdP\x94'), chr(8988 - 8888) + chr(1249 - 1148) + chr(6144 - 6045) + '\x6f' + '\144' + chr(0b0 + 0o145))('\x75' + chr(116) + chr(0b101001 + 0o75) + chr(0b101101) + '\x38'), type=ehT0Px3KOsy9, default=ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110000) + '\060', 8)) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8d\x1e\xc97\x18\xf4~\xef\xf1D\x85'), '\x64' + '\x65' + '\143' + '\x6f' + chr(198 - 98) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + chr(443 - 398) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b')\xc4\x13\xfb7\r\xf6T\xf2\xf5^\x99'), chr(7285 - 7185) + '\145' + '\143' + chr(111) + chr(100) + chr(0b1100101))(chr(9270 - 9153) + chr(116) + chr(0b1100110) + chr(45) + chr(544 - 488)), type=M8_cKLkHVB2V, default=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x1e\xf7"\x0b\xbco\xe3\xe0K\x82\xd5,\xd5\x14'), chr(0b100011 + 0o101) + chr(0b1001 + 0o134) + chr(8415 - 8316) + chr(111) + chr(0b1100100) + chr(101))(chr(3597 - 3480) + chr(0b10 + 0o162) + chr(0b1100110) + chr(0b101101) + chr(802 - 746))) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8d\x1e\xc97\x18\xf4~\xef\xf1D\x85'), chr(3590 - 3490) + chr(101) + '\143' + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(787 - 671) + chr(0b1001010 + 0o34) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b')\xc4\x1b\xfa?\r\xfdT\xf2\xf5^\x99'), '\x64' + chr(0b1000001 + 0o44) + chr(2086 - 1987) + chr(111) + '\x64' + chr(0b1100101))('\x75' + '\164' + chr(102) + '\055' + '\x38'), type=M8_cKLkHVB2V, default=xafqLlk3kkUe(SXOLrMavuUCe(b'*\xc6\x1e\xf7"\x0b\xbcj\xee\xfdM\x9f\x9f'), '\144' + chr(0b1100101) + chr(2221 - 2122) + '\157' + chr(0b1100100) + chr(7093 - 6992))('\x75' + chr(6126 - 6010) + chr(8837 - 8735) + chr(45) + '\x38')) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8d\x1e\xc97\x18\xf4~\xef\xf1D\x85'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(5435 - 5324) + chr(0b1001010 + 0o32) + chr(0b1100101))('\165' + '\x74' + chr(8463 - 8361) + chr(1540 - 1495) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b')\xc4\x14\xe3;5\xf4{\xf7\xe7'), '\144' + chr(0b1001101 + 0o30) + chr(437 - 338) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + '\146' + '\x2d' + chr(934 - 878)), type=ehT0Px3KOsy9, default=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49), ord("\x08"))) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8d\x1e\xc97\x18\xf4~\xef\xf1D\x85'), chr(0b1100100) + chr(0b111111 + 0o46) + '\143' + chr(0b1101111) + chr(6305 - 6205) + chr(101))(chr(6143 - 6026) + chr(0b110 + 0o156) + chr(0b10001 + 0o125) + chr(342 - 297) + chr(992 - 936)))(xafqLlk3kkUe(SXOLrMavuUCe(b')\xc4\x14\xe3;5\xe4d\xf0\xffO\x83\xc3'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + chr(11898 - 11782) + chr(0b11111 + 0o107) + chr(0b10 + 0o53) + '\070'), type=ehT0Px3KOsy9, default=ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(0b110000 + 0o0), ord("\x08"))) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8d\x1e\xc97\x18\xf4~\xef\xf1D\x85'), chr(0b1100100) + chr(5965 - 5864) + chr(0b110110 + 0o55) + chr(0b1100000 + 0o17) + chr(100) + chr(101))(chr(0b1110101) + chr(1817 - 1701) + '\146' + chr(1678 - 1633) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b')\xc4\x1e\xf7"\x0b\xcc\x7f\xfb\xe4O'), chr(0b1100100) + chr(6338 - 6237) + chr(0b1100011) + chr(0b100101 + 0o112) + '\x64' + '\145')(chr(214 - 97) + '\x74' + chr(0b1100100 + 0o2) + chr(45) + '\x38'), type=M8_cKLkHVB2V, default=xafqLlk3kkUe(SXOLrMavuUCe(b'r\x88\x16\xff2'), '\x64' + '\x65' + '\x63' + chr(0b11101 + 0o122) + chr(6854 - 6754) + '\x65')(chr(13468 - 13351) + '\x74' + '\x66' + '\055' + '\070')) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8d\x1e\xc97\x18\xf4~\xef\xf1D\x85'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1000 + 0o134) + '\x65')(chr(0b1101010 + 0o13) + chr(0b1001101 + 0o47) + chr(0b1100011 + 0o3) + chr(952 - 907) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b')\xc4\x17\xf92\x0f\xffT\xf2\xf5^\x99'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(0b110000 + 0o65))(chr(117) + chr(3304 - 3188) + '\146' + chr(0b10001 + 0o34) + chr(0b111000)), type=M8_cKLkHVB2V, default=None) jAj7S20Ct06o = uvsdWIii6oeC.parse_args() ehTF8dweL_Oo = Zj8nthSpzmy4(jAj7S20Ct06o) xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'f\x9c\x13\xfa25\xfed\xe6\xf1F'), chr(100) + chr(2495 - 2394) + chr(0b1100011) + chr(111) + '\144' + chr(0b110000 + 0o65))(chr(117) + chr(116) + chr(102) + chr(45) + chr(0b111000)))(path=xafqLlk3kkUe(jAj7S20Ct06o, xafqLlk3kkUe(SXOLrMavuUCe(b'i\x86\x1e\xf3:5\xe3j\xf6\xfc'), '\144' + '\x65' + chr(0b1100011) + chr(3240 - 3129) + '\x64' + chr(7216 - 7115))('\x75' + chr(0b111100 + 0o70) + chr(0b1100110) + chr(0b101101) + chr(0b11100 + 0o34)))) xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'h\x86\x1b\xf2\t\x0e\xf2\x7f\xe3\xf8E\x90\xd4=\xd4'), chr(0b1100100) + chr(8467 - 8366) + chr(4488 - 4389) + chr(0b1101010 + 0o5) + '\x64' + '\x65')('\165' + '\x74' + chr(0b1000001 + 0o45) + '\x2d' + chr(56)))() if xafqLlk3kkUe(jAj7S20Ct06o, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x8e\n\xc4\t-\xca~\xea\xa3o\xc4'), chr(9718 - 9618) + chr(0b1100101) + '\143' + chr(111) + '\x64' + chr(0b1000011 + 0o42))(chr(0b1110101) + '\x74' + chr(0b100101 + 0o101) + chr(735 - 690) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'p\x9b\x1b\xff8'), chr(0b1100100) + chr(0b10001 + 0o124) + chr(0b111101 + 0o46) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + '\x74' + chr(7562 - 7460) + chr(0b10 + 0o53) + chr(0b111000)): IPJ3s4Z8ZVIA = ehTF8dweL_Oo.y4ide208Rblh elif xafqLlk3kkUe(jAj7S20Ct06o, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x8e\n\xc4\t-\xca~\xea\xa3o\xc4'), '\144' + chr(0b1100101) + '\143' + chr(8583 - 8472) + chr(100) + chr(6293 - 6192))('\165' + chr(2244 - 2128) + '\146' + chr(0b101101) + chr(1287 - 1231))) == xafqLlk3kkUe(SXOLrMavuUCe(b'r\x88\x16\xff2'), chr(100) + chr(4117 - 4016) + chr(0b1011 + 0o130) + chr(0b1101111) + '\x64' + chr(7941 - 7840))(chr(0b101110 + 0o107) + chr(0b1110100) + '\146' + '\055' + chr(0b111000)): IPJ3s4Z8ZVIA = ehTF8dweL_Oo.JDHM31ujajh9 xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'm\x87\x1c\xf3$5\xf1j\xf6\xf7B'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101100 + 0o3) + chr(0b1000001 + 0o43) + '\145')(chr(0b1110101) + chr(5255 - 5139) + chr(9850 - 9748) + '\x2d' + '\070'))(IPJ3s4Z8ZVIA)
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	RNNParams.get	def get(self, name, kwargs): """Get the variable given a name if one exists or create a new one if missing. Parameters ---------- name : str name of the variable kwargs : more arguments that's passed to symbol.Variable """ name = self._prefix + name if name not in self._params: self._params[name] = symbol.Variable(name, **kwargs) return self._params[name]	python	def get(self, name, kwargs): """Get the variable given a name if one exists or create a new one if missing. Parameters ---------- name : str name of the variable kwargs : more arguments that's passed to symbol.Variable """ name = self._prefix + name if name not in self._params: self._params[name] = symbol.Variable(name, **kwargs) return self._params[name]	[ "def", "get", "(", "self", ",", "name", ",", "", "", "kwargs", ")", ":", "name", "=", "self", ".", "_prefix", "+", "name", "if", "name", "not", "in", "self", ".", "_params", ":", "self", ".", "_params", "[", "name", "]", "=", "symbol", ".", "Variable", "(", "name", ",", "", "", "kwargs", ")", "return", "self", ".", "_params", "[", "name", "]" ]	Get the variable given a name if one exists or create a new one if missing. Parameters ---------- name : str name of the variable **kwargs : more arguments that's passed to symbol.Variable	[ "Get", "the", "variable", "given", "a", "name", "if", "one", "exists", "or", "create", "a", "new", "one", "if", "missing", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L92-L105	train	Get the variable given a name if one exists or create a new one if missing.	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) + chr(0b110001) + chr(55) + chr(54), 50214 - 50206), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(1089 - 1037) + chr(49), 33907 - 33899), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\065' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10100 + 0o37) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(350 - 300) + chr(1159 - 1108) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o50) + '\x31' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b101 + 0o53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1961 - 1913) + '\x6f' + '\063' + chr(0b110110) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9475 - 9364) + chr(1717 - 1668) + chr(0b110000) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1475 - 1364) + '\x31' + chr(53) + chr(0b0 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(876 - 823), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1303 - 1254) + chr(0b110001) + chr(450 - 399), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(55) + chr(0b101110 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1872 - 1761) + chr(843 - 789) + chr(2295 - 2240), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b110111 + 0o70) + chr(261 - 210) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(0b110111) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(183 - 135) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(0b110011) + chr(0b110011) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(2138 - 2027) + '\061' + '\062' + '\064', 37828 - 37820), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\067' + chr(158 - 106), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100000 + 0o21) + '\x36' + '\x32', 7855 - 7847), ehT0Px3KOsy9(chr(1242 - 1194) + chr(7515 - 7404) + chr(1798 - 1745) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x37' + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(929 - 878) + chr(0b11010 + 0o35) + '\061', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110000 + 0o1) + '\065' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x32' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2627 - 2575) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + '\063' + chr(0b110011) + chr(0b100110 + 0o20), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b10101 + 0o33) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(50) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110010), 32526 - 32518), ehT0Px3KOsy9(chr(1511 - 1463) + chr(0b1101111) + chr(1329 - 1275) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + '\x32' + chr(0b110011), 28252 - 28244), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(475 - 421) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(6652 - 6541) + '\062' + chr(771 - 718) + chr(0b100111 + 0o11), 38445 - 38437), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b100101 + 0o20) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b100011 + 0o114) + '\x31' + chr(0b1101 + 0o43), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x37' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(50) + chr(1208 - 1156), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(312 - 259) + '\060', 12256 - 12248)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'P'), chr(0b1100100) + '\145' + chr(99) + chr(2034 - 1923) + chr(0b1100100) + '\x65')(chr(0b1000000 + 0o65) + chr(0b101101 + 0o107) + chr(102) + chr(45) + chr(0b0 + 0o70)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Q8b5UytA0vqH(oVre8I6UXc3b, AIvJRzLdDfgF, M8EIoTs2GJXE): AIvJRzLdDfgF = oVre8I6UXc3b._prefix + AIvJRzLdDfgF if AIvJRzLdDfgF not in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xa9\xdfr\xd4\xab\xab\xb02\x11_1'), '\144' + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + '\x65')(chr(0b10011 + 0o142) + chr(0b1001001 + 0o53) + chr(8942 - 8840) + chr(0b111 + 0o46) + chr(56))): oVre8I6UXc3b.pHroJelArxJz[AIvJRzLdDfgF] = Usr5ykvL2UZF.Variable(AIvJRzLdDfgF, M8EIoTs2GJXE) return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xa9\xdfr\xd4\xab\xab\xb02\x11_1'), chr(0b1100100) + chr(0b1100101) + chr(5287 - 5188) + '\x6f' + chr(0b1100100) + chr(0b1100101 + 0o0))('\x75' + chr(116) + '\146' + '\x2d' + chr(56)))[AIvJRzLdDfgF]
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	BaseRNNCell.reset	def reset(self): """Reset before re-using the cell for another graph.""" self._init_counter = -1 self._counter = -1 if hasattr(self, '_cells'): for cell in self._cells: cell.reset()	python	def reset(self): """Reset before re-using the cell for another graph.""" self._init_counter = -1 self._counter = -1 if hasattr(self, '_cells'): for cell in self._cells: cell.reset()	[ "def", "reset", "(", "self", ")", ":", "self", ".", "_init_counter", "=", "-", "1", "self", ".", "_counter", "=", "-", "1", "if", "hasattr", "(", "self", ",", "'_cells'", ")", ":", "for", "cell", "in", "self", ".", "_cells", ":", "cell", ".", "reset", "(", ")" ]	Reset before re-using the cell for another graph.	[ "Reset", "before", "re", "-", "using", "the", "cell", "for", "another", "graph", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L133-L139	train	Reset before re - using the cell for another graph.	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(0b10101 + 0o33) + chr(1417 - 1306) + chr(0b11101 + 0o24) + chr(0b110100) + chr(2898 - 2843), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x36' + chr(55), 30790 - 30782), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(53) + chr(0b110101), 64955 - 64947), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(51) + chr(0b10110 + 0o41) + chr(0b110001), 60869 - 60861), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110011) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5762 - 5651) + '\063' + chr(1999 - 1944) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1520 - 1472) + chr(6300 - 6189) + chr(2173 - 2118) + chr(2006 - 1954), 45285 - 45277), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(2395 - 2346) + chr(844 - 791), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2462 - 2412) + '\x32' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(1613 - 1565) + chr(48), 50470 - 50462), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x32' + '\061', 53804 - 53796), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(1115 - 1062), 0o10), ehT0Px3KOsy9('\x30' + chr(4541 - 4430) + chr(52) + chr(92 - 42), ord("\x08")), ehT0Px3KOsy9(chr(1440 - 1392) + '\157' + chr(51) + '\x35' + chr(2238 - 2188), 33365 - 33357), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\067' + '\x34', 57731 - 57723), ehT0Px3KOsy9(chr(48) + chr(3035 - 2924) + '\063' + chr(0b101111 + 0o4) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(818 - 707) + '\063' + chr(0b110111) + chr(0b100010 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1011001 + 0o26) + chr(51) + '\062' + chr(1946 - 1894), 19396 - 19388), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\065' + chr(0b10010 + 0o44), 0o10), ehT0Px3KOsy9('\060' + chr(8895 - 8784) + '\x32' + chr(0b110110) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110100) + '\067', 20602 - 20594), ehT0Px3KOsy9(chr(325 - 277) + '\157' + chr(953 - 903) + '\x33' + chr(2240 - 2189), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(211 - 162) + chr(1883 - 1835) + chr(0b101 + 0o55), 58737 - 58729), ehT0Px3KOsy9(chr(294 - 246) + '\157' + '\x32', 17847 - 17839), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101 + 0o142) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(2138 - 2027) + chr(0b1111 + 0o42) + chr(0b11100 + 0o27) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o53) + chr(0b11 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8440 - 8329) + chr(0b10000 + 0o42), 8), ehT0Px3KOsy9(chr(1251 - 1203) + chr(5290 - 5179) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1001011 + 0o44) + chr(0b110001) + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o41) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(0b101100 + 0o5) + chr(1508 - 1460) + chr(0b1010 + 0o52), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(53) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(849 - 798) + chr(1722 - 1668) + chr(0b1110 + 0o46), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1847 - 1799) + chr(0b1101111) + '\061', 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b110010) + chr(1123 - 1071) + '\067', 0b1000), ehT0Px3KOsy9(chr(295 - 247) + chr(111) + chr(1955 - 1903), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(1781 - 1732), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + '\x32' + '\x36' + chr(0b110110), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + '\065' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'I'), '\x64' + '\x65' + chr(99) + chr(111) + chr(0b1010100 + 0o20) + '\145')('\165' + chr(0b1011110 + 0o26) + chr(0b1100110) + '\055' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def G0V856pwkJmZ(oVre8I6UXc3b): oVre8I6UXc3b.o6oZ4qUCHnVA = -ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8) oVre8I6UXc3b.cDZJac0b8sY6 = -ehT0Px3KOsy9('\060' + chr(1431 - 1320) + chr(49), 8) if lot1PSoAwYhj(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'8\x14H\x95\xb7\x8f'), chr(0b110011 + 0o61) + '\145' + '\x63' + chr(0b100001 + 0o116) + chr(7756 - 7656) + chr(101))(chr(7911 - 7794) + '\164' + chr(0b101100 + 0o72) + '\055' + chr(0b111000))): for XQrM8eZytga5 in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'8\x14H\x95\xb7\x8f'), '\x64' + chr(0b1100101) + chr(0b1010 + 0o131) + chr(11014 - 10903) + '\x64' + chr(0b110000 + 0o65))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + '\070')): xafqLlk3kkUe(XQrM8eZytga5, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\x12^\x9c\xaf'), chr(100) + '\x65' + chr(0b1100011) + '\157' + '\144' + '\145')('\x75' + '\164' + chr(9606 - 9504) + '\055' + chr(0b11000 + 0o40)))()
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	BaseRNNCell.begin_state	def begin_state(self, func=symbol.zeros, kwargs): """Initial state for this cell. Parameters ---------- func : callable, default symbol.zeros Function for creating initial state. Can be symbol.zeros, symbol.uniform, symbol.Variable etc. Use symbol.Variable if you want to directly feed input as states. kwargs : more keyword arguments passed to func. For example mean, std, dtype, etc. Returns ------- states : nested list of Symbol Starting states for the first RNN step. """ assert not self._modified, \ "After applying modifier cells (e.g. DropoutCell) the base " \ "cell cannot be called directly. Call the modifier cell instead." states = [] for info in self.state_info: self._init_counter += 1 if info is None: state = func(name='%sbegin_state_%d'%(self._prefix, self._init_counter), kwargs) else: kwargs.update(info) state = func(name='%sbegin_state_%d'%(self._prefix, self._init_counter), kwargs) states.append(state) return states	python	def begin_state(self, func=symbol.zeros, kwargs): """Initial state for this cell. Parameters ---------- func : callable, default symbol.zeros Function for creating initial state. Can be symbol.zeros, symbol.uniform, symbol.Variable etc. Use symbol.Variable if you want to directly feed input as states. kwargs : more keyword arguments passed to func. For example mean, std, dtype, etc. Returns ------- states : nested list of Symbol Starting states for the first RNN step. """ assert not self._modified, \ "After applying modifier cells (e.g. DropoutCell) the base " \ "cell cannot be called directly. Call the modifier cell instead." states = [] for info in self.state_info: self._init_counter += 1 if info is None: state = func(name='%sbegin_state_%d'%(self._prefix, self._init_counter), kwargs) else: kwargs.update(info) state = func(name='%sbegin_state_%d'%(self._prefix, self._init_counter), kwargs) states.append(state) return states	[ "def", "begin_state", "(", "self", ",", "func", "=", "symbol", ".", "zeros", ",", "", "", "kwargs", ")", ":", "assert", "not", "self", ".", "_modified", ",", "\"After applying modifier cells (e.g. DropoutCell) the base \"", "\"cell cannot be called directly. Call the modifier cell instead.\"", "states", "=", "[", "]", "for", "info", "in", "self", ".", "state_info", ":", "self", ".", "_init_counter", "+=", "1", "if", "info", "is", "None", ":", "state", "=", "func", "(", "name", "=", "'%sbegin_state_%d'", "%", "(", "self", ".", "_prefix", ",", "self", ".", "_init_counter", ")", ",", "", "", "kwargs", ")", "else", ":", "kwargs", ".", "update", "(", "info", ")", "state", "=", "func", "(", "name", "=", "'%sbegin_state_%d'", "%", "(", "self", ".", "_prefix", ",", "self", ".", "_init_counter", ")", ",", "", "", "kwargs", ")", "states", ".", "append", "(", "state", ")", "return", "states" ]	Initial state for this cell. Parameters ---------- func : callable, default symbol.zeros Function for creating initial state. Can be symbol.zeros, symbol.uniform, symbol.Variable etc. Use symbol.Variable if you want to directly feed input as states. **kwargs : more keyword arguments passed to func. For example mean, std, dtype, etc. Returns ------- states : nested list of Symbol Starting states for the first RNN step.	[ "Initial", "state", "for", "this", "cell", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L190-L223	train	Returns a list of states for the first RNN step.	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(0b1 + 0o60) + chr(52) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + '\063' + chr(0b110000) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11010 + 0o27) + chr(55) + chr(1189 - 1139), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100111 + 0o12) + '\x36' + chr(2173 - 2121), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1000 + 0o53) + chr(0b11110 + 0o25) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b1010 + 0o52) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b101111 + 0o10) + chr(0b100011 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(274 - 226), 0o10), ehT0Px3KOsy9(chr(1560 - 1512) + '\x6f' + chr(51) + '\x31' + chr(0b1001 + 0o53), 17724 - 17716), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1000 + 0o54) + '\x30', 1805 - 1797), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(49) + chr(0b111 + 0o56) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(836 - 786) + chr(0b1111 + 0o50) + chr(2984 - 2929), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(0b110001) + chr(0b1100 + 0o51) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(8805 - 8694) + chr(2132 - 2082) + chr(0b11001 + 0o30) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1354 - 1306) + chr(111) + chr(49) + '\x32' + chr(2396 - 2341), ord("\x08")), ehT0Px3KOsy9(chr(686 - 638) + chr(6002 - 5891) + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1101 - 1053) + '\157' + chr(0b110010) + '\067' + chr(0b110010), 33689 - 33681), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101111 + 0o6), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10011 + 0o36) + chr(0b110010) + chr(2001 - 1951), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2716 - 2662) + chr(0b110 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(51) + chr(219 - 168) + chr(0b11111 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b100 + 0o56) + '\065' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1673 - 1625) + chr(7308 - 7197) + chr(0b110010) + chr(0b10011 + 0o40) + chr(0b1000 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x33' + '\x37' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(833 - 783) + chr(0b110101) + chr(784 - 729), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110010) + chr(808 - 756) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o23) + chr(0b10010 + 0o43), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(52) + chr(48), 8), ehT0Px3KOsy9(chr(702 - 654) + '\x6f' + chr(50) + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8577 - 8466) + chr(109 - 54) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(0b101110 + 0o3) + '\x31' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11438 - 11327) + chr(0b110 + 0o57) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + chr(1704 - 1655), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(819 - 765) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\061' + chr(1004 - 954) + '\x31', 14613 - 14605), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b11 + 0o57) + chr(0b10100 + 0o37) + chr(283 - 232), 19449 - 19441), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(0b110011) + '\062' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(607 - 556) + chr(0b110010) + chr(654 - 603), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3958 - 3847) + '\x31' + chr(0b110011) + '\x30', 40710 - 40702)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2082 - 2034) + '\157' + chr(2630 - 2577) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'M'), chr(0b100010 + 0o102) + chr(101) + '\x63' + chr(111) + chr(810 - 710) + '\145')(chr(0b1101101 + 0o10) + '\164' + chr(3640 - 3538) + '\x2d' + chr(2838 - 2782)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Pl7voO4jC20d(oVre8I6UXc3b, EzOtJ3kbK5x4=xafqLlk3kkUe(Usr5ykvL2UZF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xa4o\x15\x07'), chr(8845 - 8745) + '\x65' + chr(0b1100011) + chr(5846 - 5735) + '\x64' + chr(0b1100101))('\165' + chr(0b11100 + 0o130) + chr(630 - 528) + chr(0b11101 + 0o20) + chr(0b111000))), M8EIoTs2GJXE): assert not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xacr\x1e\x1d\xba\x08\x99L'), chr(100) + chr(101) + chr(1596 - 1497) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b10101 + 0o140) + chr(0b1110100) + '\x66' + chr(0b11110 + 0o17) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'"\xa7i\x1f\x06\xfc\x00\x8cX\xa0Y\x07\xd1\n\xae:v\xdel4X\xb8\xde\xb9\x9b\xca\xc9IS\x8e\x10-\x00f\x1dq\xdf\xa4\xbc(\x0c\xb4i9\x11\xb0\r\xd5\x08\xb8H\x0b\x9f\x0f\xef$\|\x9af7]\xb1\x8c\xfa\x99\xc1\xcbJT\x8eZ-\x0ebR=\xf7\xb3\xb7x\x07\xa8o\x1f\x17\xa8\r\x85\x06\xecc\x0f\xd3\x01\xae#q\xdf%?^\xb9\xc5\xff\x91\xca\xd7\x05C\xcbT$\x0eh]"\xef\xb3\xb2<M'), chr(100) + chr(0b1100101) + chr(9224 - 9125) + chr(2168 - 2057) + '\144' + '\145')('\x75' + chr(0b1110100) + '\146' + '\x2d' + chr(809 - 753)) jI0E6zso5mLP = [] for S7Hxucg7jlZk in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xb5\|\x0e\x11\x83\x08\x92N\xa3'), chr(3047 - 2947) + chr(0b101100 + 0o71) + chr(99) + '\x6f' + chr(5716 - 5616) + chr(9434 - 9333))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(1418 - 1373) + chr(1659 - 1603))): oVre8I6UXc3b.o6oZ4qUCHnVA += ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8) if S7Hxucg7jlZk is None: KKFQISrGeiAm = EzOtJ3kbK5x4(name=xafqLlk3kkUe(SXOLrMavuUCe(b'F\xb2\x7f\x1f\x13\xb5\x0f\xa3[\xb8A\x1a\xda2\xab3'), chr(4581 - 4481) + chr(8417 - 8316) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1000111 + 0o36))(chr(117) + chr(4626 - 4510) + chr(8013 - 7911) + '\x2d' + chr(56)) % (oVre8I6UXc3b._prefix, oVre8I6UXc3b.o6oZ4qUCHnVA), M8EIoTs2GJXE) else: xafqLlk3kkUe(M8EIoTs2GJXE, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xb5\\?\x1d\x92+\x92Q\xf8E^'), chr(2056 - 1956) + chr(6635 - 6534) + chr(0b1011011 + 0o10) + chr(0b1101111) + chr(4046 - 3946) + '\x65')('\165' + chr(0b1110100) + '\146' + '\x2d' + '\070'))(S7Hxucg7jlZk) KKFQISrGeiAm = EzOtJ3kbK5x4(name=xafqLlk3kkUe(SXOLrMavuUCe(b'F\xb2\x7f\x1f\x13\xb5\x0f\xa3[\xb8A\x1a\xda2\xab3'), chr(100) + chr(0b1100101) + chr(7616 - 7517) + chr(0b1001101 + 0o42) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1010101 + 0o37) + chr(102) + '\x2d' + '\x38') % (oVre8I6UXc3b._prefix, oVre8I6UXc3b.o6oZ4qUCHnVA), **M8EIoTs2GJXE) xafqLlk3kkUe(jI0E6zso5mLP, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xb1m\x1f\x1a\xb8'), '\x64' + '\x65' + chr(99) + chr(0b1011011 + 0o24) + chr(1997 - 1897) + '\145')('\165' + chr(3657 - 3541) + chr(102) + chr(45) + chr(0b111000)))(KKFQISrGeiAm) return jI0E6zso5mLP
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	BaseRNNCell.unpack_weights	def unpack_weights(self, args): """Unpack fused weight matrices into separate weight matrices. For example, say you use a module object `mod` to run a network that has an lstm cell. In `mod.get_params()[0]`, the lstm parameters are all represented as a single big vector. `cell.unpack_weights(mod.get_params()[0])` will unpack this vector into a dictionary of more readable lstm parameters - c, f, i, o gates for i2h (input to hidden) and h2h (hidden to hidden) weights. Parameters ---------- args : dict of str -> NDArray Dictionary containing packed weights. usually from `Module.get_params()[0]`. Returns ------- args : dict of str -> NDArray Dictionary with unpacked weights associated with this cell. See Also -------- pack_weights: Performs the reverse operation of this function. """ args = args.copy() if not self._gate_names: return args h = self._num_hidden for group_name in ['i2h', 'h2h']: weight = args.pop('%s%s_weight'%(self._prefix, group_name)) bias = args.pop('%s%s_bias' % (self._prefix, group_name)) for j, gate in enumerate(self._gate_names): wname = '%s%s%s_weight' % (self._prefix, group_name, gate) args[wname] = weight[jh:(j+1)h].copy() bname = '%s%s%s_bias' % (self._prefix, group_name, gate) args[bname] = bias[jh:(j+1)h].copy() return args	python	def unpack_weights(self, args): """Unpack fused weight matrices into separate weight matrices. For example, say you use a module object `mod` to run a network that has an lstm cell. In `mod.get_params()[0]`, the lstm parameters are all represented as a single big vector. `cell.unpack_weights(mod.get_params()[0])` will unpack this vector into a dictionary of more readable lstm parameters - c, f, i, o gates for i2h (input to hidden) and h2h (hidden to hidden) weights. Parameters ---------- args : dict of str -> NDArray Dictionary containing packed weights. usually from `Module.get_params()[0]`. Returns ------- args : dict of str -> NDArray Dictionary with unpacked weights associated with this cell. See Also -------- pack_weights: Performs the reverse operation of this function. """ args = args.copy() if not self._gate_names: return args h = self._num_hidden for group_name in ['i2h', 'h2h']: weight = args.pop('%s%s_weight'%(self._prefix, group_name)) bias = args.pop('%s%s_bias' % (self._prefix, group_name)) for j, gate in enumerate(self._gate_names): wname = '%s%s%s_weight' % (self._prefix, group_name, gate) args[wname] = weight[jh:(j+1)h].copy() bname = '%s%s%s_bias' % (self._prefix, group_name, gate) args[bname] = bias[jh:(j+1)h].copy() return args	[ "def", "unpack_weights", "(", "self", ",", "args", ")", ":", "args", "=", "args", ".", "copy", "(", ")", "if", "not", "self", ".", "_gate_names", ":", "return", "args", "h", "=", "self", ".", "_num_hidden", "for", "group_name", "in", "[", "'i2h'", ",", "'h2h'", "]", ":", "weight", "=", "args", ".", "pop", "(", "'%s%s_weight'", "%", "(", "self", ".", "_prefix", ",", "group_name", ")", ")", "bias", "=", "args", ".", "pop", "(", "'%s%s_bias'", "%", "(", "self", ".", "_prefix", ",", "group_name", ")", ")", "for", "j", ",", "gate", "in", "enumerate", "(", "self", ".", "_gate_names", ")", ":", "wname", "=", "'%s%s%s_weight'", "%", "(", "self", ".", "_prefix", ",", "group_name", ",", "gate", ")", "args", "[", "wname", "]", "=", "weight", "[", "j", "", "h", ":", "(", "j", "+", "1", ")", "", "h", "]", ".", "copy", "(", ")", "bname", "=", "'%s%s%s_bias'", "%", "(", "self", ".", "_prefix", ",", "group_name", ",", "gate", ")", "args", "[", "bname", "]", "=", "bias", "[", "j", "", "h", ":", "(", "j", "+", "1", ")", "", "h", "]", ".", "copy", "(", ")", "return", "args" ]	Unpack fused weight matrices into separate weight matrices. For example, say you use a module object `mod` to run a network that has an lstm cell. In `mod.get_params()[0]`, the lstm parameters are all represented as a single big vector. `cell.unpack_weights(mod.get_params()[0])` will unpack this vector into a dictionary of more readable lstm parameters - c, f, i, o gates for i2h (input to hidden) and h2h (hidden to hidden) weights. Parameters ---------- args : dict of str -> NDArray Dictionary containing packed weights. usually from `Module.get_params()[0]`. Returns ------- args : dict of str -> NDArray Dictionary with unpacked weights associated with this cell. See Also -------- pack_weights: Performs the reverse operation of this function.	[ "Unpack", "fused", "weight", "matrices", "into", "separate", "weight", "matrices", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L225-L263	train	Unpack fused weight matrices into separate weight matrices.	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(962 - 914) + chr(111) + chr(0b11011 + 0o26) + '\x31' + chr(0b100110 + 0o21), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + chr(0b0 + 0o63) + chr(55) + chr(2546 - 2493), 54512 - 54504), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110011) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110000) + chr(0b1 + 0o66), 4135 - 4127), ehT0Px3KOsy9(chr(0b110000) + chr(6543 - 6432) + chr(0b101 + 0o55) + chr(577 - 524) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(2861 - 2750) + '\061' + chr(0b10000 + 0o45) + chr(1172 - 1121), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(4792 - 4681) + chr(0b100111 + 0o14) + chr(0b110010) + chr(475 - 425), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b100111 + 0o15) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(2006 - 1958) + '\x6f' + chr(0b110011) + chr(0b110100 + 0o1), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x34' + chr(660 - 606), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(6496 - 6385) + chr(543 - 494) + chr(51) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11110 + 0o26) + chr(819 - 768), 9542 - 9534), ehT0Px3KOsy9('\x30' + chr(3461 - 3350) + chr(1078 - 1029) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(2340 - 2229) + '\063' + chr(758 - 706), 959 - 951), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(0b110111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x34' + chr(1428 - 1373), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110000) + '\060', 0o10), ehT0Px3KOsy9(chr(341 - 293) + chr(8718 - 8607) + chr(50) + '\x33' + chr(50), 16945 - 16937), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2702 - 2647) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1001010 + 0o45) + chr(0b110010) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(50) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(3124 - 3013) + '\x31' + '\x32' + chr(2213 - 2165), ord("\x08")), ehT0Px3KOsy9(chr(2141 - 2093) + chr(0b1101111) + chr(0b100111 + 0o13) + '\060' + '\x35', 49135 - 49127), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(1082 - 1030) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b100100 + 0o14) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1011 - 961) + '\x36' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101000 + 0o12) + chr(52) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1869 - 1819) + '\x35' + '\x37', 31966 - 31958), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x31' + '\062', 12233 - 12225), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b10101 + 0o42) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9(chr(549 - 501) + chr(0b1101111) + chr(0b110011) + chr(0b110101) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + '\065' + '\x30', 29200 - 29192), ehT0Px3KOsy9(chr(48) + chr(2866 - 2755) + '\063' + chr(0b110001) + chr(0b100010 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b1101 + 0o45) + chr(0b11111 + 0o24), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\067' + chr(0b101110 + 0o5), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11202 - 11091) + chr(0b1001 + 0o52) + '\065' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11478 - 11367) + chr(0b101000 + 0o12) + '\062' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x37' + chr(1620 - 1572), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o31) + chr(992 - 944), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'a'), '\x64' + chr(101) + '\x63' + '\x6f' + '\144' + '\x65')('\x75' + chr(116) + chr(0b1100110) + chr(0b11 + 0o52) + chr(0b101100 + 0o14)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def V7IP0YY0p5Je(oVre8I6UXc3b, kJDRfRhcZHjS): kJDRfRhcZHjS = kJDRfRhcZHjS.igThHS4jwVsa() if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\x9a\xff\xf3\xc94\xbc\x02p\x83+'), '\144' + chr(6186 - 6085) + '\143' + chr(111) + chr(0b100010 + 0o102) + chr(3953 - 3852))('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(56))): return kJDRfRhcZHjS sz4HVsFVF8nL = oVre8I6UXc3b._num_hidden for HEe7CuRW2vqF in [xafqLlk3kkUe(SXOLrMavuUCe(b'&\xcf\xf6'), '\x64' + chr(0b11010 + 0o113) + chr(99) + chr(184 - 73) + chr(100) + chr(101))('\165' + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b"'\xcf\xf6"), chr(100) + chr(8191 - 8090) + chr(0b111000 + 0o53) + chr(111) + chr(0b1100100) + chr(0b1000010 + 0o43))(chr(0b1110101) + '\x74' + chr(695 - 593) + chr(0b101 + 0o50) + '\070')]: C0mVSPj6WjvB = kJDRfRhcZHjS.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'j\x8e\xbb\xf4\xf3\x1c\xb7\nz\x8e,'), chr(5724 - 5624) + chr(0b1000101 + 0o40) + chr(0b1100011) + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b101010 + 0o112) + chr(102) + chr(45) + chr(0b1100 + 0o54)) % (oVre8I6UXc3b._prefix, HEe7CuRW2vqF)) IKTrMTySqz10 = kJDRfRhcZHjS.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'j\x8e\xbb\xf4\xf3\t\xbb\x02n'), chr(4264 - 4164) + chr(0b1100101) + chr(99) + chr(0b11011 + 0o124) + chr(0b10101 + 0o117) + chr(0b1001011 + 0o32))('\165' + chr(0b1110100) + '\x66' + '\055' + '\070') % (oVre8I6UXc3b._prefix, HEe7CuRW2vqF)) for (tlORBuYsiw3X, EyiYChu32b7v) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\x9a\xff\xf3\xc94\xbc\x02p\x83+'), chr(0b111000 + 0o54) + chr(0b1000101 + 0o40) + '\x63' + '\157' + chr(100) + '\145')('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)))): qxv3pHucJaK9 = xafqLlk3kkUe(SXOLrMavuUCe(b'j\x8e\xbb\xf4\x89\x18\x8d\x14x\x8f?Kx'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(7126 - 7026) + '\145')(chr(0b1110101) + chr(5371 - 5255) + '\x66' + chr(1878 - 1833) + chr(56)) % (oVre8I6UXc3b._prefix, HEe7CuRW2vqF, EyiYChu32b7v) kJDRfRhcZHjS[qxv3pHucJaK9] = C0mVSPj6WjvB[tlORBuYsiw3X * sz4HVsFVF8nL:(tlORBuYsiw3X + ehT0Px3KOsy9(chr(0b110000) + chr(4216 - 4105) + chr(0b11000 + 0o31), 59721 - 59713)) * sz4HVsFVF8nL].igThHS4jwVsa() t9tv7unGSgg2 = xafqLlk3kkUe(SXOLrMavuUCe(b'j\x8e\xbb\xf4\x89\x18\x8d\x01t\x87+'), '\x64' + chr(0b1100101) + chr(5380 - 5281) + '\x6f' + chr(0b101111 + 0o65) + chr(0b1100101))('\165' + chr(8560 - 8444) + '\146' + chr(0b110 + 0o47) + chr(0b1010 + 0o56)) % (oVre8I6UXc3b._prefix, HEe7CuRW2vqF, EyiYChu32b7v) kJDRfRhcZHjS[t9tv7unGSgg2] = IKTrMTySqz10[tlORBuYsiw3X * sz4HVsFVF8nL:(tlORBuYsiw3X + ehT0Px3KOsy9(chr(847 - 799) + chr(0b1101111) + chr(49), 8)) * sz4HVsFVF8nL].igThHS4jwVsa() return kJDRfRhcZHjS
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	BaseRNNCell.pack_weights	def pack_weights(self, args): """Pack separate weight matrices into a single packed weight. Parameters ---------- args : dict of str -> NDArray Dictionary containing unpacked weights. Returns ------- args : dict of str -> NDArray Dictionary with packed weights associated with this cell. """ args = args.copy() if not self._gate_names: return args for group_name in ['i2h', 'h2h']: weight = [] bias = [] for gate in self._gate_names: wname = '%s%s%s_weight'%(self._prefix, group_name, gate) weight.append(args.pop(wname)) bname = '%s%s%s_bias'%(self._prefix, group_name, gate) bias.append(args.pop(bname)) args['%s%s_weight'%(self._prefix, group_name)] = ndarray.concatenate(weight) args['%s%s_bias'%(self._prefix, group_name)] = ndarray.concatenate(bias) return args	python	def pack_weights(self, args): """Pack separate weight matrices into a single packed weight. Parameters ---------- args : dict of str -> NDArray Dictionary containing unpacked weights. Returns ------- args : dict of str -> NDArray Dictionary with packed weights associated with this cell. """ args = args.copy() if not self._gate_names: return args for group_name in ['i2h', 'h2h']: weight = [] bias = [] for gate in self._gate_names: wname = '%s%s%s_weight'%(self._prefix, group_name, gate) weight.append(args.pop(wname)) bname = '%s%s%s_bias'%(self._prefix, group_name, gate) bias.append(args.pop(bname)) args['%s%s_weight'%(self._prefix, group_name)] = ndarray.concatenate(weight) args['%s%s_bias'%(self._prefix, group_name)] = ndarray.concatenate(bias) return args	[ "def", "pack_weights", "(", "self", ",", "args", ")", ":", "args", "=", "args", ".", "copy", "(", ")", "if", "not", "self", ".", "_gate_names", ":", "return", "args", "for", "group_name", "in", "[", "'i2h'", ",", "'h2h'", "]", ":", "weight", "=", "[", "]", "bias", "=", "[", "]", "for", "gate", "in", "self", ".", "_gate_names", ":", "wname", "=", "'%s%s%s_weight'", "%", "(", "self", ".", "_prefix", ",", "group_name", ",", "gate", ")", "weight", ".", "append", "(", "args", ".", "pop", "(", "wname", ")", ")", "bname", "=", "'%s%s%s_bias'", "%", "(", "self", ".", "_prefix", ",", "group_name", ",", "gate", ")", "bias", ".", "append", "(", "args", ".", "pop", "(", "bname", ")", ")", "args", "[", "'%s%s_weight'", "%", "(", "self", ".", "_prefix", ",", "group_name", ")", "]", "=", "ndarray", ".", "concatenate", "(", "weight", ")", "args", "[", "'%s%s_bias'", "%", "(", "self", ".", "_prefix", ",", "group_name", ")", "]", "=", "ndarray", ".", "concatenate", "(", "bias", ")", "return", "args" ]	Pack separate weight matrices into a single packed weight. Parameters ---------- args : dict of str -> NDArray Dictionary containing unpacked weights. Returns ------- args : dict of str -> NDArray Dictionary with packed weights associated with this cell.	[ "Pack", "separate", "weight", "matrices", "into", "a", "single", "packed", "weight", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L265-L293	train	Pack separate weight matrices into a single packed weight.	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(0b101100 + 0o4) + '\157' + '\x32' + chr(0b100010 + 0o21) + chr(2401 - 2351), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(55) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\062' + chr(0b1111 + 0o45) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + chr(1987 - 1937) + '\066' + chr(1057 - 1004), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110100) + chr(0b101101 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b100001 + 0o21) + chr(650 - 595) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\x33' + chr(0b110100) + chr(0b100100 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2357 - 2307) + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110100), 49055 - 49047), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(0b11011 + 0o26) + chr(1655 - 1605) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\064' + chr(290 - 240), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11011 + 0o26) + '\x30' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\064' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10110 + 0o33) + chr(0b110111 + 0o0) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1101 + 0o45) + chr(1584 - 1531) + chr(51), 5496 - 5488), ehT0Px3KOsy9(chr(0b110000) + chr(7227 - 7116) + '\062' + chr(0b110000) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(51) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1436 - 1388) + '\x6f' + chr(2331 - 2280) + chr(55) + chr(2521 - 2470), 31742 - 31734), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110011) + chr(50), 6528 - 6520), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(1888 - 1838) + chr(49) + chr(2280 - 2230), 17849 - 17841), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b11101 + 0o27) + chr(0b110010), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(1983 - 1931) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b1011 + 0o50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b111 + 0o51) + '\x30', 42842 - 42834), ehT0Px3KOsy9(chr(67 - 19) + chr(0b1101111) + chr(50) + chr(0b1000 + 0o50) + chr(0b11010 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\063' + chr(930 - 875) + '\067', 21197 - 21189), ehT0Px3KOsy9(chr(0b110000) + chr(3683 - 3572) + chr(53) + chr(2660 - 2608), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2349 - 2299) + chr(1203 - 1151) + chr(0b110011 + 0o2), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(49) + '\064' + chr(0b11010 + 0o34), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x32' + chr(0b10101 + 0o34) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + chr(0b110011) + chr(0b100111 + 0o15) + '\064', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(929 - 818) + chr(967 - 918) + chr(0b110010) + chr(0b11101 + 0o25), 0b1000), ehT0Px3KOsy9(chr(1458 - 1410) + chr(504 - 393) + chr(0b110011) + '\064' + '\064', 8), ehT0Px3KOsy9('\060' + chr(7566 - 7455) + chr(51) + '\062' + chr(0b10010 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(2389 - 2335) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1125 - 1077) + chr(7032 - 6921) + chr(1050 - 1000) + chr(54) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b10011 + 0o42) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1626 - 1515) + chr(544 - 494) + chr(0b110011) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + '\061' + chr(2076 - 2025) + '\x30', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b11000 + 0o35) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4'), '\144' + chr(101) + chr(0b1000 + 0o133) + chr(1499 - 1388) + chr(9692 - 9592) + '\145')('\x75' + '\164' + chr(7627 - 7525) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def pX4Dk5X1BKcG(oVre8I6UXc3b, kJDRfRhcZHjS): kJDRfRhcZHjS = kJDRfRhcZHjS.igThHS4jwVsa() if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5]\xc0\xc1\x03\xe2\x8c\xd8q1\x11'), chr(414 - 314) + chr(0b10000 + 0o125) + '\143' + chr(1154 - 1043) + chr(1336 - 1236) + chr(101))(chr(0b1011011 + 0o32) + chr(9759 - 9643) + chr(0b1100110) + '\x2d' + chr(1667 - 1611))): return kJDRfRhcZHjS for HEe7CuRW2vqF in [xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x08\xc9'), chr(0b10010 + 0o122) + chr(0b1100101) + '\143' + chr(111) + '\x64' + chr(0b101001 + 0o74))('\165' + chr(116) + chr(0b111001 + 0o55) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x08\xc9'), '\144' + chr(0b1100101) + chr(6129 - 6030) + '\x6f' + chr(100) + chr(6374 - 6273))(chr(12773 - 12656) + chr(4461 - 4345) + chr(2162 - 2060) + '\x2d' + '\x38')]: C0mVSPj6WjvB = [] IKTrMTySqz10 = [] for EyiYChu32b7v in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5]\xc0\xc1\x03\xe2\x8c\xd8q1\x11'), '\144' + chr(4429 - 4328) + chr(99) + chr(0b1101100 + 0o3) + chr(0b1100010 + 0o2) + '\145')(chr(0b1110101) + chr(0b1000101 + 0o57) + chr(0b1100110) + '\x2d' + chr(1659 - 1603))): qxv3pHucJaK9 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfI\x84\xc6C\xce\xbd\xcey=\x05-f'), chr(0b1111 + 0o125) + '\145' + chr(0b100000 + 0o103) + '\x6f' + '\144' + '\x65')(chr(0b101011 + 0o112) + '\164' + '\146' + chr(45) + chr(0b100001 + 0o27)) % (oVre8I6UXc3b._prefix, HEe7CuRW2vqF, EyiYChu32b7v) xafqLlk3kkUe(C0mVSPj6WjvB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbJ\xd1\xd0\x08\xd9'), chr(0b10111 + 0o115) + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(0b1101111 + 0o6) + chr(8490 - 8374) + chr(5063 - 4961) + chr(45) + chr(0b1001 + 0o57)))(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeaU\xd1'), chr(0b1011101 + 0o7) + chr(101) + chr(532 - 433) + chr(0b11111 + 0o120) + chr(5033 - 4933) + '\x65')('\x75' + chr(0b1010011 + 0o41) + chr(102) + '\x2d' + chr(56)))(qxv3pHucJaK9)) t9tv7unGSgg2 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfI\x84\xc6C\xce\xbd\xdbu5\x11'), chr(5262 - 5162) + chr(4931 - 4830) + chr(99) + '\157' + '\x64' + chr(6442 - 6341))('\x75' + chr(116) + '\x66' + chr(0b101 + 0o50) + '\070') % (oVre8I6UXc3b._prefix, HEe7CuRW2vqF, EyiYChu32b7v) xafqLlk3kkUe(IKTrMTySqz10, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbJ\xd1\xd0\x08\xd9'), chr(4194 - 4094) + '\145' + chr(0b1100011) + chr(0b1101010 + 0o5) + chr(0b1100100) + '\145')('\165' + chr(1501 - 1385) + chr(7894 - 7792) + '\055' + '\070'))(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeaU\xd1'), '\x64' + chr(2786 - 2685) + chr(3642 - 3543) + chr(111) + '\144' + chr(0b101010 + 0o73))(chr(1398 - 1281) + chr(12364 - 12248) + chr(0b1100110) + chr(0b1100 + 0o41) + chr(0b10100 + 0o44)))(t9tv7unGSgg2)) kJDRfRhcZHjS[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfI\x84\xc69\xca\x87\xd0{<\x16'), '\x64' + chr(101) + chr(4884 - 4785) + chr(0b1101111) + '\144' + chr(0b1001 + 0o134))('\165' + '\x74' + chr(0b11101 + 0o111) + '\x2d' + chr(0b111000)) % (oVre8I6UXc3b.IOUayMyW3x3y, HEe7CuRW2vqF)] = VtU1DncglWAm.concatenate(C0mVSPj6WjvB) kJDRfRhcZHjS[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfI\x84\xc69\xdf\x8b\xd8o'), chr(0b1100100) + '\145' + '\143' + '\157' + '\144' + chr(6565 - 6464))(chr(10113 - 9996) + '\164' + '\146' + chr(45) + chr(0b111000)) % (oVre8I6UXc3b.IOUayMyW3x3y, HEe7CuRW2vqF)] = VtU1DncglWAm.concatenate(IKTrMTySqz10) return kJDRfRhcZHjS
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	BaseRNNCell.unroll	def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): """Unroll an RNN cell across time steps. Parameters ---------- length : int Number of steps to unroll. inputs : Symbol, list of Symbol, or None If `inputs` is a single Symbol (usually the output of Embedding symbol), it should have shape (batch_size, length, ...) if layout == 'NTC', or (length, batch_size, ...) if layout == 'TNC'. If `inputs` is a list of symbols (usually output of previous unroll), they should all have shape (batch_size, ...). begin_state : nested list of Symbol, default None Input states created by `begin_state()` or output state of another cell. Created from `begin_state()` if None. layout : str, optional `layout` of input symbol. Only used if inputs is a single Symbol. merge_outputs : bool, optional If False, return outputs as a list of Symbols. If True, concatenate output across time steps and return a single symbol with shape (batch_size, length, ...) if layout == 'NTC', or (length, batch_size, ...) if layout == 'TNC'. If None, output whatever is faster. Returns ------- outputs : list of Symbol or Symbol Symbol (if `merge_outputs` is True) or list of Symbols (if `merge_outputs` is False) corresponding to the output from the RNN from this unrolling. states : nested list of Symbol The new state of this RNN after this unrolling. The type of this symbol is same as the output of begin_state(). """ self.reset() inputs, _ = _normalize_sequence(length, inputs, layout, False) if begin_state is None: begin_state = self.begin_state() states = begin_state outputs = [] for i in range(length): output, states = self(inputs[i], states) outputs.append(output) outputs, _ = _normalize_sequence(length, outputs, layout, merge_outputs) return outputs, states	python	def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): """Unroll an RNN cell across time steps. Parameters ---------- length : int Number of steps to unroll. inputs : Symbol, list of Symbol, or None If `inputs` is a single Symbol (usually the output of Embedding symbol), it should have shape (batch_size, length, ...) if layout == 'NTC', or (length, batch_size, ...) if layout == 'TNC'. If `inputs` is a list of symbols (usually output of previous unroll), they should all have shape (batch_size, ...). begin_state : nested list of Symbol, default None Input states created by `begin_state()` or output state of another cell. Created from `begin_state()` if None. layout : str, optional `layout` of input symbol. Only used if inputs is a single Symbol. merge_outputs : bool, optional If False, return outputs as a list of Symbols. If True, concatenate output across time steps and return a single symbol with shape (batch_size, length, ...) if layout == 'NTC', or (length, batch_size, ...) if layout == 'TNC'. If None, output whatever is faster. Returns ------- outputs : list of Symbol or Symbol Symbol (if `merge_outputs` is True) or list of Symbols (if `merge_outputs` is False) corresponding to the output from the RNN from this unrolling. states : nested list of Symbol The new state of this RNN after this unrolling. The type of this symbol is same as the output of begin_state(). """ self.reset() inputs, _ = _normalize_sequence(length, inputs, layout, False) if begin_state is None: begin_state = self.begin_state() states = begin_state outputs = [] for i in range(length): output, states = self(inputs[i], states) outputs.append(output) outputs, _ = _normalize_sequence(length, outputs, layout, merge_outputs) return outputs, states	[ "def", "unroll", "(", "self", ",", "length", ",", "inputs", ",", "begin_state", "=", "None", ",", "layout", "=", "'NTC'", ",", "merge_outputs", "=", "None", ")", ":", "self", ".", "reset", "(", ")", "inputs", ",", "_", "=", "_normalize_sequence", "(", "length", ",", "inputs", ",", "layout", ",", "False", ")", "if", "begin_state", "is", "None", ":", "begin_state", "=", "self", ".", "begin_state", "(", ")", "states", "=", "begin_state", "outputs", "=", "[", "]", "for", "i", "in", "range", "(", "length", ")", ":", "output", ",", "states", "=", "self", "(", "inputs", "[", "i", "]", ",", "states", ")", "outputs", ".", "append", "(", "output", ")", "outputs", ",", "_", "=", "_normalize_sequence", "(", "length", ",", "outputs", ",", "layout", ",", "merge_outputs", ")", "return", "outputs", ",", "states" ]	Unroll an RNN cell across time steps. Parameters ---------- length : int Number of steps to unroll. inputs : Symbol, list of Symbol, or None If `inputs` is a single Symbol (usually the output of Embedding symbol), it should have shape (batch_size, length, ...) if layout == 'NTC', or (length, batch_size, ...) if layout == 'TNC'. If `inputs` is a list of symbols (usually output of previous unroll), they should all have shape (batch_size, ...). begin_state : nested list of Symbol, default None Input states created by `begin_state()` or output state of another cell. Created from `begin_state()` if None. layout : str, optional `layout` of input symbol. Only used if inputs is a single Symbol. merge_outputs : bool, optional If False, return outputs as a list of Symbols. If True, concatenate output across time steps and return a single symbol with shape (batch_size, length, ...) if layout == 'NTC', or (length, batch_size, ...) if layout == 'TNC'. If None, output whatever is faster. Returns ------- outputs : list of Symbol or Symbol Symbol (if `merge_outputs` is True) or list of Symbols (if `merge_outputs` is False) corresponding to the output from the RNN from this unrolling. states : nested list of Symbol The new state of this RNN after this unrolling. The type of this symbol is same as the output of begin_state().	[ "Unroll", "an", "RNN", "cell", "across", "time", "steps", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L295-L351	train	Unrolls an RNN cell across time steps.	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) + chr(51) + chr(0b100000 + 0o21) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(2725 - 2614) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(1027 - 974), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(4311 - 4200) + chr(533 - 483) + chr(0b1010 + 0o46) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + '\062' + chr(0b101100 + 0o5) + chr(53), 55131 - 55123), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110001) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(945 - 897) + '\157' + '\061' + chr(0b101001 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\060' + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(0b100001 + 0o17), 46881 - 46873), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b110010) + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1800 - 1752) + chr(0b1101111) + chr(50) + chr(790 - 739) + chr(1055 - 1005), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + '\x33' + chr(544 - 495) + '\066', 41274 - 41266), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110001) + '\064', 35848 - 35840), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110000) + '\067', 46890 - 46882), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(48), 21324 - 21316), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110101 + 0o1) + chr(830 - 779), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b110001) + chr(0b11011 + 0o26) + '\064', 0o10), ehT0Px3KOsy9(chr(1142 - 1094) + chr(0b110010 + 0o75) + '\x31' + chr(50) + chr(1944 - 1893), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(796 - 685) + chr(0b110000 + 0o1) + chr(0b100100 + 0o15) + chr(1875 - 1821), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(11139 - 11028) + chr(962 - 911) + chr(0b110110) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2322 - 2271) + '\060' + chr(0b10101 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10467 - 10356) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(0b110001) + '\x37' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(6089 - 5978) + '\063' + chr(53), 8164 - 8156), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + '\x31' + '\x31' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2192 - 2144) + chr(111) + chr(0b100110 + 0o13) + '\x33', 8), ehT0Px3KOsy9(chr(224 - 176) + chr(111) + chr(1359 - 1308) + chr(0b110100), 1379 - 1371), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10000 + 0o42) + '\x33' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(0b0 + 0o63) + chr(2105 - 2051) + chr(0b1 + 0o65), 0b1000), ehT0Px3KOsy9(chr(1372 - 1324) + chr(111) + chr(52) + chr(464 - 416), ord("\x08")), ehT0Px3KOsy9(chr(567 - 519) + chr(111) + chr(51) + chr(1122 - 1074) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + '\x31' + chr(51) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2032 - 1982) + chr(1541 - 1492) + chr(0b11111 + 0o30), 0b1000), ehT0Px3KOsy9(chr(995 - 947) + chr(5478 - 5367) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10615 - 10504) + '\062' + chr(0b110101) + chr(0b110110), 32956 - 32948), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10011 + 0o36) + '\x30' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(11130 - 11019) + chr(49) + chr(0b110110) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(7144 - 7033) + '\062' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + chr(55), 36286 - 36278)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7'), chr(0b1010111 + 0o15) + chr(8828 - 8727) + chr(0b1100011) + '\157' + chr(0b101001 + 0o73) + chr(0b1001 + 0o134))(chr(117) + chr(0b1011 + 0o151) + chr(0b1100110) + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ZNXKSjlprKvQ(oVre8I6UXc3b, CHAOgk5VCHH_, vXoupepMtCXU, Pl7voO4jC20d=None, HDH7OEwZuDah=xafqLlk3kkUe(SXOLrMavuUCe(b'\x87VV'), chr(100) + chr(0b1001100 + 0o31) + chr(4547 - 4448) + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(0b110011 + 0o5)), cfM7XaQiUYjA=None): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbgf\xe6\xf9'), '\x64' + '\145' + chr(99) + '\x6f' + '\x64' + '\x65')('\165' + chr(0b111101 + 0o67) + chr(102) + chr(0b101101) + '\x38'))() (vXoupepMtCXU, VNGQdHSFPrso) = rYFxBK37k_MF(CHAOgk5VCHH_, vXoupepMtCXU, HDH7OEwZuDah, ehT0Px3KOsy9(chr(1362 - 1314) + '\x6f' + chr(0b110000), 8)) if Pl7voO4jC20d is None: Pl7voO4jC20d = oVre8I6UXc3b.begin_state() jI0E6zso5mLP = Pl7voO4jC20d Dx_DllZ8uCko = [] for WVxHKyX45z_L in vQr8gNKaIaWE(CHAOgk5VCHH_): (e1jVqMSBZ01Y, jI0E6zso5mLP) = oVre8I6UXc3b(vXoupepMtCXU[WVxHKyX45z_L], jI0E6zso5mLP) xafqLlk3kkUe(Dx_DllZ8uCko, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8re\xe6\xe3\xea'), chr(0b1100100) + chr(4581 - 4480) + '\143' + chr(0b110101 + 0o72) + '\144' + chr(0b1000101 + 0o40))('\x75' + chr(0b1001011 + 0o51) + chr(0b1100110) + chr(0b101101) + chr(56)))(e1jVqMSBZ01Y) (Dx_DllZ8uCko, VNGQdHSFPrso) = rYFxBK37k_MF(CHAOgk5VCHH_, Dx_DllZ8uCko, HDH7OEwZuDah, cfM7XaQiUYjA) return (Dx_DllZ8uCko, jI0E6zso5mLP)
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	BaseRNNCell._get_activation	def _get_activation(self, inputs, activation, kwargs): """Get activation function. Convert if is string""" if isinstance(activation, string_types): return symbol.Activation(inputs, act_type=activation, kwargs) else: return activation(inputs, **kwargs)	python	def _get_activation(self, inputs, activation, kwargs): """Get activation function. Convert if is string""" if isinstance(activation, string_types): return symbol.Activation(inputs, act_type=activation, kwargs) else: return activation(inputs, **kwargs)	[ "def", "_get_activation", "(", "self", ",", "inputs", ",", "activation", ",", "", "", "kwargs", ")", ":", "if", "isinstance", "(", "activation", ",", "string_types", ")", ":", "return", "symbol", ".", "Activation", "(", "inputs", ",", "act_type", "=", "activation", ",", "", "", "kwargs", ")", "else", ":", "return", "activation", "(", "inputs", ",", "", "", "kwargs", ")" ]	Get activation function. Convert if is string	[ "Get", "activation", "function", ".", "Convert", "if", "is", "string" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L354-L359	train	Get activation function. Convert if is 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('\060' + chr(0b110011 + 0o74) + chr(0b100010 + 0o20) + chr(505 - 451) + '\x34', 0o10), ehT0Px3KOsy9(chr(1225 - 1177) + '\x6f' + '\061' + chr(0b11101 + 0o24) + '\061', 32485 - 32477), ehT0Px3KOsy9('\x30' + chr(10115 - 10004) + '\063' + '\x33' + '\x35', 10888 - 10880), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2130 - 2080) + '\065' + chr(1040 - 989), 23129 - 23121), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1712 - 1659) + chr(753 - 702), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100100 + 0o17) + '\065' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(799 - 747) + chr(0b101100 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(2161 - 2113) + chr(0b1101111) + chr(50) + chr(2377 - 2325), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\066' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2888 - 2777) + chr(0b10111 + 0o32) + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b100010 + 0o20) + chr(1008 - 957) + chr(0b110011), 35593 - 35585), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(10710 - 10599) + chr(680 - 631) + '\066' + chr(51), 0b1000), ehT0Px3KOsy9(chr(642 - 594) + chr(111) + '\x31' + chr(51) + chr(2547 - 2492), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10001 + 0o42) + chr(363 - 311) + chr(719 - 669), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\067' + '\064', 32293 - 32285), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1 + 0o61) + chr(0b110000) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x34' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(49) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11010 + 0o31) + chr(0b110100) + '\x34', 44885 - 44877), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(51) + chr(0b101010 + 0o10) + chr(961 - 906), 41753 - 41745), ehT0Px3KOsy9(chr(300 - 252) + '\x6f' + chr(49) + chr(0b110011 + 0o1) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x34' + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o24) + chr(455 - 404) + chr(0b110011), 50536 - 50528), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\060' + chr(1325 - 1271), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(11038 - 10927) + '\062' + chr(48) + chr(49), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(9541 - 9430) + chr(1843 - 1793) + '\x33' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(1137 - 1087) + chr(0b1001 + 0o54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\066' + '\061', 53995 - 53987), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(1707 - 1659) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(0b100100 + 0o15) + '\067' + chr(2179 - 2125), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101101 + 0o102) + chr(0b11001 + 0o32) + chr(2424 - 2373) + '\061', 63226 - 63218), ehT0Px3KOsy9(chr(384 - 336) + chr(0b1101111) + chr(0b110001) + chr(50) + chr(503 - 448), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(1603 - 1549), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(53) + chr(98 - 48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1670 - 1617) + '\064', 65466 - 65458), ehT0Px3KOsy9(chr(48) + chr(3286 - 3175) + chr(2378 - 2328) + chr(0b110001), 30936 - 30928), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(1081 - 1030) + '\061' + chr(54), 0b1000), ehT0Px3KOsy9(chr(2276 - 2228) + '\x6f' + chr(1471 - 1422) + chr(1972 - 1922) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(1542 - 1493) + chr(0b110100), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(10358 - 10247) + '\x35' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(9407 - 9290) + chr(0b1110100) + '\146' + chr(45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def EdpZeSnDmBmr(oVre8I6UXc3b, vXoupepMtCXU, _GyOifGFZyk1, *M8EIoTs2GJXE): if PlSM16l2KDPD(_GyOifGFZyk1, sInLJQno9SRQ): return xafqLlk3kkUe(Usr5ykvL2UZF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xa9\xc2]\x8cR}_\x07'), chr(6518 - 6418) + chr(0b1010000 + 0o25) + '\x63' + chr(111) + '\144' + '\x65')(chr(117) + '\x74' + chr(0b111010 + 0o54) + chr(0b11010 + 0o23) + chr(2001 - 1945)))(vXoupepMtCXU, act_type=_GyOifGFZyk1, M8EIoTs2GJXE) else: return _GyOifGFZyk1(vXoupepMtCXU, M8EIoTs2GJXE)
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	FusedRNNCell._slice_weights	def _slice_weights(self, arr, li, lh): """slice fused rnn weights""" args = {} gate_names = self._gate_names directions = self._directions b = len(directions) p = 0 for layer in range(self._num_layers): for direction in directions: for gate in gate_names: name = '%s%s%d_i2h%s_weight'%(self._prefix, direction, layer, gate) if layer > 0: size = blhlh args[name] = arr[p:p+size].reshape((lh, blh)) else: size = lilh args[name] = arr[p:p+size].reshape((lh, li)) p += size for gate in gate_names: name = '%s%s%d_h2h%s_weight'%(self._prefix, direction, layer, gate) size = lh**2 args[name] = arr[p:p+size].reshape((lh, lh)) p += size for layer in range(self._num_layers): for direction in directions: for gate in gate_names: name = '%s%s%d_i2h%s_bias'%(self._prefix, direction, layer, gate) args[name] = arr[p:p+lh] p += lh for gate in gate_names: name = '%s%s%d_h2h%s_bias'%(self._prefix, direction, layer, gate) args[name] = arr[p:p+lh] p += lh assert p == arr.size, "Invalid parameters size for FusedRNNCell" return args	python	def _slice_weights(self, arr, li, lh): """slice fused rnn weights""" args = {} gate_names = self._gate_names directions = self._directions b = len(directions) p = 0 for layer in range(self._num_layers): for direction in directions: for gate in gate_names: name = '%s%s%d_i2h%s_weight'%(self._prefix, direction, layer, gate) if layer > 0: size = blhlh args[name] = arr[p:p+size].reshape((lh, blh)) else: size = lilh args[name] = arr[p:p+size].reshape((lh, li)) p += size for gate in gate_names: name = '%s%s%d_h2h%s_weight'%(self._prefix, direction, layer, gate) size = lh**2 args[name] = arr[p:p+size].reshape((lh, lh)) p += size for layer in range(self._num_layers): for direction in directions: for gate in gate_names: name = '%s%s%d_i2h%s_bias'%(self._prefix, direction, layer, gate) args[name] = arr[p:p+lh] p += lh for gate in gate_names: name = '%s%s%d_h2h%s_bias'%(self._prefix, direction, layer, gate) args[name] = arr[p:p+lh] p += lh assert p == arr.size, "Invalid parameters size for FusedRNNCell" return args	[ "def", "_slice_weights", "(", "self", ",", "arr", ",", "li", ",", "lh", ")", ":", "args", "=", "{", "}", "gate_names", "=", "self", ".", "_gate_names", "directions", "=", "self", ".", "_directions", "b", "=", "len", "(", "directions", ")", "p", "=", "0", "for", "layer", "in", "range", "(", "self", ".", "_num_layers", ")", ":", "for", "direction", "in", "directions", ":", "for", "gate", "in", "gate_names", ":", "name", "=", "'%s%s%d_i2h%s_weight'", "%", "(", "self", ".", "_prefix", ",", "direction", ",", "layer", ",", "gate", ")", "if", "layer", ">", "0", ":", "size", "=", "b", "", "lh", "", "lh", "args", "[", "name", "]", "=", "arr", "[", "p", ":", "p", "+", "size", "]", ".", "reshape", "(", "(", "lh", ",", "b", "", "lh", ")", ")", "else", ":", "size", "=", "li", "", "lh", "args", "[", "name", "]", "=", "arr", "[", "p", ":", "p", "+", "size", "]", ".", "reshape", "(", "(", "lh", ",", "li", ")", ")", "p", "+=", "size", "for", "gate", "in", "gate_names", ":", "name", "=", "'%s%s%d_h2h%s_weight'", "%", "(", "self", ".", "_prefix", ",", "direction", ",", "layer", ",", "gate", ")", "size", "=", "lh", "**", "2", "args", "[", "name", "]", "=", "arr", "[", "p", ":", "p", "+", "size", "]", ".", "reshape", "(", "(", "lh", ",", "lh", ")", ")", "p", "+=", "size", "for", "layer", "in", "range", "(", "self", ".", "_num_layers", ")", ":", "for", "direction", "in", "directions", ":", "for", "gate", "in", "gate_names", ":", "name", "=", "'%s%s%d_i2h%s_bias'", "%", "(", "self", ".", "_prefix", ",", "direction", ",", "layer", ",", "gate", ")", "args", "[", "name", "]", "=", "arr", "[", "p", ":", "p", "+", "lh", "]", "p", "+=", "lh", "for", "gate", "in", "gate_names", ":", "name", "=", "'%s%s%d_h2h%s_bias'", "%", "(", "self", ".", "_prefix", ",", "direction", ",", "layer", ",", "gate", ")", "args", "[", "name", "]", "=", "arr", "[", "p", ":", "p", "+", "lh", "]", "p", "+=", "lh", "assert", "p", "==", "arr", ".", "size", ",", "\"Invalid parameters size for FusedRNNCell\"", "return", "args" ]	slice fused rnn weights	[ "slice", "fused", "rnn", "weights" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L600-L637	train	slice fused rnn 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(chr(0b10111 + 0o31) + '\x6f' + chr(0b1010 + 0o50) + chr(0b110110) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1588 - 1537) + chr(0b110101), 44042 - 44034), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b1011 + 0o47) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1547 - 1499) + '\157' + '\063' + '\063' + chr(515 - 467), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2107 - 2058) + chr(52) + chr(103 - 48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + '\063' + chr(0b10 + 0o57) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b101011 + 0o12) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(52) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(410 - 362) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + '\x31' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b111 + 0o51) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(231 - 183) + chr(2739 - 2628) + '\x32' + chr(54) + chr(205 - 154), 8), ehT0Px3KOsy9(chr(1712 - 1664) + chr(0b1101111) + chr(2684 - 2629) + chr(1744 - 1696), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(55) + chr(0b100111 + 0o15), 57190 - 57182), ehT0Px3KOsy9(chr(2030 - 1982) + '\x6f' + chr(0b110001 + 0o0) + '\060' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(473 - 425) + '\157' + chr(1051 - 1002) + '\062' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(49) + chr(0b100000 + 0o26) + chr(390 - 337), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\063' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b110001) + '\x34' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o54) + chr(54) + chr(2002 - 1949), 8), ehT0Px3KOsy9(chr(0b110000) + chr(9893 - 9782) + chr(2385 - 2335) + chr(1534 - 1483) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10 + 0o57) + chr(52) + '\061', 0b1000), ehT0Px3KOsy9(chr(562 - 514) + chr(11705 - 11594) + '\061' + chr(50) + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(7415 - 7304) + chr(49) + chr(0b110111) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(322 - 274) + '\x6f' + chr(1137 - 1088) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\063' + chr(51) + chr(0b10110 + 0o33), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(575 - 525) + chr(0b101000 + 0o11) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1651 - 1603) + chr(111) + chr(50) + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110 + 0o56) + chr(2106 - 2051), 8), ehT0Px3KOsy9(chr(1104 - 1056) + chr(2293 - 2182) + chr(0b11011 + 0o27) + chr(0b110001) + chr(56 - 2), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110110) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4997 - 4886) + chr(51) + chr(52), 2133 - 2125), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\x34' + chr(1719 - 1671), 7306 - 7298), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10010 + 0o37) + '\x31' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o33) + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2124 - 2075) + chr(2569 - 2516) + '\x34', 43656 - 43648), ehT0Px3KOsy9(chr(1479 - 1431) + chr(0b100100 + 0o113) + chr(1947 - 1898) + chr(2267 - 2213) + '\063', 40679 - 40671), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b110001) + '\x32' + chr(48), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + '\065' + chr(1583 - 1535), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d'), '\144' + '\x65' + chr(2616 - 2517) + chr(111) + '\144' + chr(2012 - 1911))(chr(0b1110101) + chr(0b11100 + 0o130) + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def oAATssnTgp56(oVre8I6UXc3b, ZxkNvNvuRNy5, J7QeBq2d2bKb, GW86yAXndQts): kJDRfRhcZHjS = {} Eh2BQI5mY59y = oVre8I6UXc3b._gate_names JcCWg2dbwTn_ = oVre8I6UXc3b._directions wmN3dvez4qzC = c2A0yzQpDQB3(JcCWg2dbwTn_) UyakMW2IMFEj = ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\x30', 322 - 314) for wgamNHppspXj in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecs"\xb58\xa0\xcd\x9b\xe7\x82\x7f'), chr(100) + '\145' + chr(0b111010 + 0o51) + chr(3508 - 3397) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1011 + 0o133) + chr(122 - 77) + chr(56)))): for ZzV4BIHlZbxE in JcCWg2dbwTn_: for EyiYChu32b7v in Eh2BQI5mY59y: AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'\x96nr\xabB\xa8\xf3\x8b\xb0\x98)\xf4\xecO\xd9)7\x1d\xaa'), '\x64' + '\145' + chr(8060 - 7961) + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b10100 + 0o140) + chr(102) + '\055' + chr(0b110 + 0o62)) % (oVre8I6UXc3b.IOUayMyW3x3y, ZzV4BIHlZbxE, wgamNHppspXj, EyiYChu32b7v) if wgamNHppspXj > ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 8): NLcc3BCJnQka = wmN3dvez4qzC * GW86yAXndQts * GW86yAXndQts kJDRfRhcZHjS[AIvJRzLdDfgF] = ZxkNvNvuRNy5[UyakMW2IMFEj:UyakMW2IMFEj + NLcc3BCJnQka].reshape((GW86yAXndQts, wmN3dvez4qzC * GW86yAXndQts)) else: NLcc3BCJnQka = J7QeBq2d2bKb * GW86yAXndQts kJDRfRhcZHjS[AIvJRzLdDfgF] = ZxkNvNvuRNy5[UyakMW2IMFEj:UyakMW2IMFEj + NLcc3BCJnQka].reshape((GW86yAXndQts, J7QeBq2d2bKb)) UyakMW2IMFEj += NLcc3BCJnQka for EyiYChu32b7v in Eh2BQI5mY59y: AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'\x96nr\xabB\xa8\xf3\x8a\xb0\x98)\xf4\xecO\xd9)7\x1d\xaa'), '\x64' + chr(213 - 112) + chr(0b10111 + 0o114) + chr(0b1000001 + 0o56) + chr(678 - 578) + chr(0b101110 + 0o67))('\165' + chr(0b1101111 + 0o5) + chr(102) + chr(0b101101) + chr(0b10001 + 0o47)) % (oVre8I6UXc3b.IOUayMyW3x3y, ZzV4BIHlZbxE, wgamNHppspXj, EyiYChu32b7v) NLcc3BCJnQka = GW86yAXndQts ** ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010), 0o10) kJDRfRhcZHjS[AIvJRzLdDfgF] = ZxkNvNvuRNy5[UyakMW2IMFEj:UyakMW2IMFEj + NLcc3BCJnQka].reshape((GW86yAXndQts, GW86yAXndQts)) UyakMW2IMFEj += NLcc3BCJnQka for wgamNHppspXj in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecs"\xb58\xa0\xcd\x9b\xe7\x82\x7f'), chr(100) + '\x65' + chr(0b1001 + 0o132) + chr(111) + '\144' + chr(0b1100101))(chr(10006 - 9889) + chr(116) + chr(102) + chr(0b100 + 0o51) + '\070'))): for ZzV4BIHlZbxE in JcCWg2dbwTn_: for EyiYChu32b7v in Eh2BQI5mY59y: AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'\x96nr\xabB\xa8\xf3\x8b\xb0\x98)\xf4\xecZ\xd5!#'), chr(8091 - 7991) + '\x65' + '\x63' + chr(6024 - 5913) + chr(100) + chr(0b100011 + 0o102))(chr(0b11010 + 0o133) + chr(0b1110100) + '\146' + chr(1679 - 1634) + chr(56)) % (oVre8I6UXc3b.IOUayMyW3x3y, ZzV4BIHlZbxE, wgamNHppspXj, EyiYChu32b7v) kJDRfRhcZHjS[AIvJRzLdDfgF] = ZxkNvNvuRNy5[UyakMW2IMFEj:UyakMW2IMFEj + GW86yAXndQts] UyakMW2IMFEj += GW86yAXndQts for EyiYChu32b7v in Eh2BQI5mY59y: AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'\x96nr\xabB\xa8\xf3\x8a\xb0\x98)\xf4\xecZ\xd5!#'), chr(5752 - 5652) + '\x65' + chr(0b1100011) + chr(7299 - 7188) + chr(0b1011011 + 0o11) + '\x65')(chr(0b111111 + 0o66) + '\164' + chr(0b1010111 + 0o17) + chr(0b101101) + chr(56)) % (oVre8I6UXc3b.IOUayMyW3x3y, ZzV4BIHlZbxE, wgamNHppspXj, EyiYChu32b7v) kJDRfRhcZHjS[AIvJRzLdDfgF] = ZxkNvNvuRNy5[UyakMW2IMFEj:UyakMW2IMFEj + GW86yAXndQts] UyakMW2IMFEj += GW86yAXndQts assert UyakMW2IMFEj == xafqLlk3kkUe(ZxkNvNvuRNy5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfdQ4\xbbT\x8e\xef\xa8\xec\xa1g\xe6'), '\144' + '\145' + '\143' + chr(0b1010000 + 0o37) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + chr(2475 - 2419))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfas!\xb9\x0b\xa5\xc8\xc2\xf2\x91~\xe6\xde]\xc8%"\x06\xfe\x11\x1c\xe7\x04w\x19{y\xf9\xc9\xca\x14\xeb\x92N\xae\x04\xf6\t\x1f<'), chr(0b100000 + 0o104) + chr(0b1100101) + chr(0b10111 + 0o114) + chr(0b1101111) + '\x64' + chr(0b1010111 + 0o16))(chr(0b1110101) + '\x74' + chr(9208 - 9106) + chr(0b10 + 0o53) + chr(0b100011 + 0o25)) return kJDRfRhcZHjS
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	FusedRNNCell.unfuse	def unfuse(self): """Unfuse the fused RNN in to a stack of rnn cells. Returns ------- cell : mxnet.rnn.SequentialRNNCell unfused cell that can be used for stepping, and can run on CPU. """ stack = SequentialRNNCell() get_cell = {'rnn_relu': lambda cell_prefix: RNNCell(self._num_hidden, activation='relu', prefix=cell_prefix), 'rnn_tanh': lambda cell_prefix: RNNCell(self._num_hidden, activation='tanh', prefix=cell_prefix), 'lstm': lambda cell_prefix: LSTMCell(self._num_hidden, prefix=cell_prefix), 'gru': lambda cell_prefix: GRUCell(self._num_hidden, prefix=cell_prefix)}[self._mode] for i in range(self._num_layers): if self._bidirectional: stack.add(BidirectionalCell( get_cell('%sl%d_'%(self._prefix, i)), get_cell('%sr%d_'%(self._prefix, i)), output_prefix='%sbi_l%d_'%(self._prefix, i))) else: stack.add(get_cell('%sl%d_'%(self._prefix, i))) if self._dropout > 0 and i != self._num_layers - 1: stack.add(DropoutCell(self._dropout, prefix='%s_dropout%d_'%(self._prefix, i))) return stack	python	def unfuse(self): """Unfuse the fused RNN in to a stack of rnn cells. Returns ------- cell : mxnet.rnn.SequentialRNNCell unfused cell that can be used for stepping, and can run on CPU. """ stack = SequentialRNNCell() get_cell = {'rnn_relu': lambda cell_prefix: RNNCell(self._num_hidden, activation='relu', prefix=cell_prefix), 'rnn_tanh': lambda cell_prefix: RNNCell(self._num_hidden, activation='tanh', prefix=cell_prefix), 'lstm': lambda cell_prefix: LSTMCell(self._num_hidden, prefix=cell_prefix), 'gru': lambda cell_prefix: GRUCell(self._num_hidden, prefix=cell_prefix)}[self._mode] for i in range(self._num_layers): if self._bidirectional: stack.add(BidirectionalCell( get_cell('%sl%d_'%(self._prefix, i)), get_cell('%sr%d_'%(self._prefix, i)), output_prefix='%sbi_l%d_'%(self._prefix, i))) else: stack.add(get_cell('%sl%d_'%(self._prefix, i))) if self._dropout > 0 and i != self._num_layers - 1: stack.add(DropoutCell(self._dropout, prefix='%s_dropout%d_'%(self._prefix, i))) return stack	[ "def", "unfuse", "(", "self", ")", ":", "stack", "=", "SequentialRNNCell", "(", ")", "get_cell", "=", "{", "'rnn_relu'", ":", "lambda", "cell_prefix", ":", "RNNCell", "(", "self", ".", "_num_hidden", ",", "activation", "=", "'relu'", ",", "prefix", "=", "cell_prefix", ")", ",", "'rnn_tanh'", ":", "lambda", "cell_prefix", ":", "RNNCell", "(", "self", ".", "_num_hidden", ",", "activation", "=", "'tanh'", ",", "prefix", "=", "cell_prefix", ")", ",", "'lstm'", ":", "lambda", "cell_prefix", ":", "LSTMCell", "(", "self", ".", "_num_hidden", ",", "prefix", "=", "cell_prefix", ")", ",", "'gru'", ":", "lambda", "cell_prefix", ":", "GRUCell", "(", "self", ".", "_num_hidden", ",", "prefix", "=", "cell_prefix", ")", "}", "[", "self", ".", "_mode", "]", "for", "i", "in", "range", "(", "self", ".", "_num_layers", ")", ":", "if", "self", ".", "_bidirectional", ":", "stack", ".", "add", "(", "BidirectionalCell", "(", "get_cell", "(", "'%sl%d_'", "%", "(", "self", ".", "_prefix", ",", "i", ")", ")", ",", "get_cell", "(", "'%sr%d_'", "%", "(", "self", ".", "_prefix", ",", "i", ")", ")", ",", "output_prefix", "=", "'%sbi_l%d_'", "%", "(", "self", ".", "_prefix", ",", "i", ")", ")", ")", "else", ":", "stack", ".", "add", "(", "get_cell", "(", "'%sl%d_'", "%", "(", "self", ".", "_prefix", ",", "i", ")", ")", ")", "if", "self", ".", "_dropout", ">", "0", "and", "i", "!=", "self", ".", "_num_layers", "-", "1", ":", "stack", ".", "add", "(", "DropoutCell", "(", "self", ".", "_dropout", ",", "prefix", "=", "'%s_dropout%d_'", "%", "(", "self", ".", "_prefix", ",", "i", ")", ")", ")", "return", "stack" ]	Unfuse the fused RNN in to a stack of rnn cells. Returns ------- cell : mxnet.rnn.SequentialRNNCell unfused cell that can be used for stepping, and can run on CPU.	[ "Unfuse", "the", "fused", "RNN", "in", "to", "a", "stack", "of", "rnn", "cells", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L714-L745	train	Unfuses the fused RNN in to a stack of rnn cells.	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(1623 - 1574) + '\062' + chr(845 - 795), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(51) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + '\x33' + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(268 - 220) + chr(9032 - 8921) + chr(0b1111 + 0o50) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1653 - 1605) + chr(0b1101111) + '\x33' + '\x34' + chr(52), 281 - 273), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110011) + chr(0b1100 + 0o52) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x31' + chr(0b110101 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(0b1100 + 0o53) + chr(0b110000), 10594 - 10586), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110011), 8), ehT0Px3KOsy9('\060' + chr(5961 - 5850) + '\063' + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x33' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(0b110001) + '\064' + '\x35', 0b1000), ehT0Px3KOsy9(chr(623 - 575) + chr(0b1101100 + 0o3) + '\x33' + chr(49) + chr(0b110010), 19066 - 19058), ehT0Px3KOsy9('\x30' + chr(346 - 235) + chr(51) + chr(0b110111) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(409 - 358) + chr(0b110100) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(462 - 411) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + chr(2334 - 2283) + chr(262 - 211), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(50) + chr(0b100 + 0o56) + chr(985 - 936), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\063' + chr(0b110000) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1111 + 0o47) + chr(2146 - 2098), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b110011) + chr(0b110000) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + chr(50) + chr(1888 - 1833) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5647 - 5536) + '\062' + '\063' + chr(2042 - 1992), 62125 - 62117), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110110) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1001110 + 0o41) + chr(0b110001) + chr(0b110110) + chr(2591 - 2540), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110100) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1000 + 0o53) + '\061' + chr(563 - 510), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b100110 + 0o13) + '\x37', 8), ehT0Px3KOsy9(chr(1668 - 1620) + '\x6f' + chr(50) + '\x35' + chr(0b101111 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(843 - 792) + chr(0b110111) + '\x30', 27341 - 27333), ehT0Px3KOsy9(chr(735 - 687) + chr(0b1101111) + '\063' + chr(0b100001 + 0o17) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110000) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b11001 + 0o30) + chr(0b101010 + 0o10), 8), ehT0Px3KOsy9(chr(1568 - 1520) + chr(111) + chr(146 - 95) + chr(0b110100) + '\x36', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1099 - 1049) + '\x30' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110100) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1632 - 1584) + chr(0b1100100 + 0o13) + '\061' + chr(1450 - 1397) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(50) + '\063', 63607 - 63599), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + chr(0b101010 + 0o11) + chr(0b100000 + 0o25) + chr(0b110001), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(0b110101) + chr(0b110000), 17620 - 17612)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\|'), chr(100) + '\145' + chr(0b1100011) + chr(0b100110 + 0o111) + '\x64' + chr(101))('\x75' + '\164' + chr(10284 - 10182) + chr(540 - 495) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ns3L4o2_Z_9h(oVre8I6UXc3b): rFoCQMjVYqWa = qTYqnw7mAbeS() Xpr61f97p_aY = {xafqLlk3kkUe(SXOLrMavuUCe(b' s\xa1`\x96\x92w8'), chr(0b1100100) + chr(0b1011000 + 0o15) + chr(4770 - 4671) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + chr(8639 - 8523) + chr(102) + '\x2d' + '\070'): lambda QPnm6ozmg8T_: HFiiAhWBLW2L(oVre8I6UXc3b._num_hidden, activation=xafqLlk3kkUe(SXOLrMavuUCe(b' x\xa3J'), '\144' + chr(0b11100 + 0o111) + chr(0b1100011) + '\157' + '\144' + '\x65')('\165' + chr(0b1110100) + chr(0b1010100 + 0o22) + chr(115 - 70) + chr(0b101001 + 0o17)), prefix=QPnm6ozmg8T_), xafqLlk3kkUe(SXOLrMavuUCe(b' s\xa1`\x90\x96u%'), chr(0b1011000 + 0o14) + '\x65' + chr(99) + chr(1454 - 1343) + chr(685 - 585) + chr(0b1100101))(chr(117) + chr(116) + '\146' + '\x2d' + '\x38'): lambda QPnm6ozmg8T_: HFiiAhWBLW2L(oVre8I6UXc3b._num_hidden, activation=xafqLlk3kkUe(SXOLrMavuUCe(b'&\|\xa1W'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\157' + '\x64' + '\145')(chr(0b101110 + 0o107) + chr(0b1110001 + 0o3) + chr(102) + chr(114 - 69) + chr(0b100111 + 0o21)), prefix=QPnm6ozmg8T_), xafqLlk3kkUe(SXOLrMavuUCe(b'>n\xbbR'), '\144' + '\145' + '\x63' + chr(0b11100 + 0o123) + chr(100) + chr(101))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + chr(56)): lambda QPnm6ozmg8T_: lIbOjU43skcP(oVre8I6UXc3b._num_hidden, prefix=QPnm6ozmg8T_), xafqLlk3kkUe(SXOLrMavuUCe(b'5o\xba'), chr(100) + chr(101) + chr(99) + chr(10629 - 10518) + chr(0b1100100) + chr(800 - 699))(chr(0b1110101) + chr(116) + chr(6103 - 6001) + chr(0b10101 + 0o30) + chr(0b101011 + 0o15)): lambda QPnm6ozmg8T_: Uwh2Z3EhygWM(oVre8I6UXc3b._num_hidden, prefix=QPnm6ozmg8T_)}[oVre8I6UXc3b.TuvGINXTrIij] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\rs\xbaR\xbb\x9bz4]i\xa8'), '\144' + chr(0b101110 + 0o67) + '\143' + chr(8277 - 8166) + '\144' + '\145')(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(0b111000)))): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\x7f\xa6[\x8d\x85~.Lr\xb4\xf6\x04\xa6'), '\144' + chr(0b1100101) + '\143' + chr(0b100 + 0o153) + chr(0b1000101 + 0o37) + '\x65')(chr(0b1110101) + chr(0b10001 + 0o143) + chr(0b11010 + 0o114) + chr(1709 - 1664) + chr(56))): xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b"'W\xffN\xdd\x94\\xbT\x89\xab"), chr(100) + chr(101) + '\143' + chr(0b1101111) + chr(977 - 877) + chr(101))(chr(0b1110101) + '\x74' + '\x66' + chr(1570 - 1525) + chr(905 - 849)))(KRLpxdsy3CFq(Xpr61f97p_aY(xafqLlk3kkUe(SXOLrMavuUCe(b'wn\xa3\x1a\x80\xa8'), chr(0b1100100) + chr(101) + chr(5318 - 5219) + chr(1790 - 1679) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(8157 - 8055) + '\055' + chr(0b111000)) % (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bR\x9a^\x9d\xbab\x1a\x0bc\xe8\xe1'), chr(0b1100100) + chr(0b1100 + 0o131) + chr(0b1100011) + '\x6f' + '\x64' + '\145')(chr(5000 - 4883) + chr(0b1110100) + chr(0b101 + 0o141) + chr(45) + '\x38')), WVxHKyX45z_L)), Xpr61f97p_aY(xafqLlk3kkUe(SXOLrMavuUCe(b'wn\xbd\x1a\x80\xa8'), '\144' + chr(0b1001 + 0o134) + chr(99) + chr(0b1000001 + 0o56) + chr(100) + '\145')('\x75' + '\164' + chr(0b101 + 0o141) + '\055' + '\x38') % (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bR\x9a^\x9d\xbab\x1a\x0bc\xe8\xe1'), chr(0b1100100) + '\145' + chr(4126 - 4027) + chr(0b10110 + 0o131) + chr(0b100001 + 0o103) + '\x65')('\165' + '\164' + chr(0b1100000 + 0o6) + chr(1980 - 1935) + '\x38')), WVxHKyX45z_L)), output_prefix=xafqLlk3kkUe(SXOLrMavuUCe(b'wn\xadV\xbb\x9b>)g'), chr(100) + chr(0b111101 + 0o50) + chr(0b1100011) + '\x6f' + '\x64' + chr(8529 - 8428))('\x75' + chr(0b1000001 + 0o63) + chr(913 - 811) + chr(0b1111 + 0o36) + chr(0b100000 + 0o30)) % (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bR\x9a^\x9d\xbab\x1a\x0bc\xe8\xe1'), '\144' + '\x65' + '\x63' + chr(111) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(5150 - 5048) + chr(620 - 575) + chr(56))), WVxHKyX45z_L))) else: xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b"'W\xffN\xdd\x94\\xbT\x89\xab"), '\x64' + chr(0b101 + 0o140) + chr(6638 - 6539) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(9237 - 9120) + chr(10440 - 10324) + chr(0b1100110) + chr(45) + chr(56)))(Xpr61f97p_aY(xafqLlk3kkUe(SXOLrMavuUCe(b'wn\xa3\x1a\x80\xa8'), chr(5379 - 5279) + '\145' + '\143' + '\x6f' + chr(100) + '\145')('\165' + chr(116) + chr(102) + chr(1757 - 1712) + chr(2405 - 2349)) % (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bR\x9a^\x9d\xbab\x1a\x0bc\xe8\xe1'), chr(0b1010 + 0o132) + '\x65' + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + chr(0b100001 + 0o14) + chr(56))), WVxHKyX45z_L))) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\ry\xbdP\x94\x98n9'), chr(100) + chr(0b1011100 + 0o11) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b101111 + 0o105) + chr(0b1100110) + chr(0b101101) + chr(0b111000))) > ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 0b1000) and WVxHKyX45z_L != xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\rs\xbaR\xbb\x9bz4]i\xa8'), chr(4666 - 4566) + chr(5477 - 5376) + chr(99) + chr(111) + '\144' + chr(101))(chr(4525 - 4408) + chr(1761 - 1645) + chr(0b1 + 0o145) + '\055' + chr(56))) - ehT0Px3KOsy9(chr(2000 - 1952) + '\157' + chr(1954 - 1905), 65284 - 65276): xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b"'W\xffN\xdd\x94\\xbT\x89\xab"), chr(0b1100100) + chr(101) + chr(99) + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(7592 - 7476) + '\x66' + chr(0b11000 + 0o25) + chr(56)))(QLoJeL70QHE6(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\ry\xbdP\x94\x98n9'), '\x64' + '\145' + '\143' + '\x6f' + chr(100) + chr(3468 - 3367))('\x75' + chr(0b1110100) + '\146' + '\x2d' + chr(56))), prefix=xafqLlk3kkUe(SXOLrMavuUCe(b'wn\x90[\x96\x98k"Mo\xfe\xfc:'), chr(100) + chr(9786 - 9685) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(117) + chr(0b1101 + 0o147) + chr(8502 - 8400) + chr(1887 - 1842) + chr(2335 - 2279)) % (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bR\x9a^\x9d\xbab\x1a\x0bc\xe8\xe1'), '\x64' + chr(3843 - 3742) + chr(7197 - 7098) + chr(0b1101111) + chr(100) + '\145')(chr(4652 - 4535) + chr(116) + chr(102) + chr(1495 - 1450) + chr(0b10 + 0o66))), WVxHKyX45z_L))) return rFoCQMjVYqWa
apache/incubator-mxnet	python/mxnet/rnn/rnn_cell.py	SequentialRNNCell.add	def add(self, cell): """Append a cell into the stack. Parameters ---------- cell : BaseRNNCell The cell to be appended. During unroll, previous cell's output (or raw inputs if no previous cell) is used as the input to this cell. """ self._cells.append(cell) if self._override_cell_params: assert cell._own_params, \ "Either specify params for SequentialRNNCell " \ "or child cells, not both." cell.params._params.update(self.params._params) self.params._params.update(cell.params._params)	python	def add(self, cell): """Append a cell into the stack. Parameters ---------- cell : BaseRNNCell The cell to be appended. During unroll, previous cell's output (or raw inputs if no previous cell) is used as the input to this cell. """ self._cells.append(cell) if self._override_cell_params: assert cell._own_params, \ "Either specify params for SequentialRNNCell " \ "or child cells, not both." cell.params._params.update(self.params._params) self.params._params.update(cell.params._params)	[ "def", "add", "(", "self", ",", "cell", ")", ":", "self", ".", "_cells", ".", "append", "(", "cell", ")", "if", "self", ".", "_override_cell_params", ":", "assert", "cell", ".", "_own_params", ",", "\"Either specify params for SequentialRNNCell \"", "\"or child cells, not both.\"", "cell", ".", "params", ".", "_params", ".", "update", "(", "self", ".", "params", ".", "_params", ")", "self", ".", "params", ".", "_params", ".", "update", "(", "cell", ".", "params", ".", "_params", ")" ]	Append a cell into the stack. Parameters ---------- cell : BaseRNNCell The cell to be appended. During unroll, previous cell's output (or raw inputs if no previous cell) is used as the input to this cell.	[ "Append", "a", "cell", "into", "the", "stack", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/rnn/rnn_cell.py#L761-L776	train	Append a new cell into the 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(479 - 431) + '\157' + '\x37' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b0 + 0o157) + chr(1036 - 985) + '\x33' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + '\x31', 0o10), ehT0Px3KOsy9(chr(1466 - 1418) + chr(475 - 364) + '\x32' + chr(0b100000 + 0o22) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(420 - 369) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110000) + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x36' + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(51) + chr(588 - 535) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(1489 - 1440), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x35' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(103 - 53) + chr(0b110011) + '\x32', 0o10), ehT0Px3KOsy9(chr(713 - 665) + '\157' + '\x33' + chr(0b1001 + 0o56) + chr(52), 0b1000), ehT0Px3KOsy9(chr(843 - 795) + chr(111) + '\x31' + chr(0b101100 + 0o11) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\064' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(53) + chr(662 - 611), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b100111 + 0o14) + '\x32' + '\x31', 592 - 584), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(51) + chr(2057 - 2002) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(49) + chr(0b110101) + chr(1870 - 1822), 38692 - 38684), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(2382 - 2331) + chr(0b101011 + 0o13), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\066' + chr(49), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110000) + chr(887 - 839), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110000) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + chr(663 - 613) + '\061' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1101 + 0o45) + '\067' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x31' + '\065' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1957 - 1906) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8982 - 8871) + chr(50) + '\x34', 49972 - 49964), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110 + 0o55) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(11062 - 10951) + chr(0b110010) + chr(0b1100 + 0o50) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b101001 + 0o12) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x32' + chr(52), 56975 - 56967), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b100011 + 0o20) + chr(299 - 249), 20862 - 20854), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1109 - 1054) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b10010 + 0o135) + '\062' + chr(1222 - 1172) + chr(0b101100 + 0o7), 61165 - 61157), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(1087 - 1033) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(0b1000 + 0o53) + chr(53), 8), ehT0Px3KOsy9(chr(218 - 170) + chr(0b1101111) + chr(0b110101) + '\x30', 2923 - 2915), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010 + 0o0) + chr(0b110111) + chr(0b1111 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(3898 - 3787) + '\061' + chr(1174 - 1125) + '\065', 39400 - 39392)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(4700 - 4589) + '\065' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x13'), chr(6662 - 6562) + '\x65' + chr(0b1000101 + 0o36) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b110111 + 0o75) + '\x66' + chr(0b101101) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def uJ0q9cG5ZOR3(oVre8I6UXc3b, XQrM8eZytga5): xafqLlk3kkUe(oVre8I6UXc3b._cells, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\xa8A\xf35\xa7'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + '\144' + '\145')('\165' + chr(116) + chr(0b1100110) + chr(45) + '\070'))(XQrM8eZytga5) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'b\xb7G\xf3)\xb1\xd8R\x89V\xc8\xff\x90\x06{\x1b\xb0\x8f\t\xf3\xc2'), '\x64' + chr(5651 - 5550) + chr(0b1011111 + 0o4) + '\x6f' + '\x64' + '\145')(chr(117) + '\x74' + chr(0b110 + 0o140) + '\055' + chr(0b111000))): assert xafqLlk3kkUe(XQrM8eZytga5, xafqLlk3kkUe(SXOLrMavuUCe(b'b\xb7F\xf8\x04\xb3\xd0D\x8dd\xd8'), chr(100) + chr(0b1100101) + chr(0b110 + 0o135) + chr(0b111001 + 0o66) + chr(0b1001010 + 0o32) + chr(0b1100101))('\x75' + chr(6429 - 6313) + '\x66' + '\x2d' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'x\xb1E\xfe>\xb1\x91E\x9cl\xc8\xf3\x9a\x13\x04\x1b\xb0\x8f\t\xf3\xc2`\xe5\xe4\xc8NNq/\xd1\xbc:.V\xf2\x9cOf\xf7\x0eX\xb4]\xb64\xb1\x91U\x84`\xc7\xfe\xdc\tA\x07\xbd\x8eD\xbe\xdf/\xf7\xab\xd8\x01i\|p'), chr(100) + '\145' + chr(99) + chr(0b1101111) + '\144' + chr(101))(chr(4654 - 4537) + '\x74' + '\x66' + '\055' + chr(461 - 405)) xafqLlk3kkUe(XQrM8eZytga5.params._params, xafqLlk3kkUe(SXOLrMavuUCe(b'g\xacp\xd32\x8d\xfbX\x95=\xce\xaa'), chr(4968 - 4868) + chr(0b1011000 + 0o15) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b0 + 0o55) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b.params, xafqLlk3kkUe(SXOLrMavuUCe(b'M\x90C\xf9\x11\xa6\xddw\x9eq\xe1\xe0'), chr(0b1100100) + chr(5122 - 5021) + '\143' + '\157' + chr(0b110101 + 0o57) + '\145')(chr(0b1011101 + 0o30) + chr(4608 - 4492) + chr(102) + chr(443 - 398) + chr(0b111000)))) xafqLlk3kkUe(oVre8I6UXc3b.params._params, xafqLlk3kkUe(SXOLrMavuUCe(b'g\xacp\xd32\x8d\xfbX\x95=\xce\xaa'), chr(2459 - 2359) + chr(0b1100101) + '\x63' + '\157' + chr(8244 - 8144) + '\145')(chr(117) + chr(0b10110 + 0o136) + '\146' + chr(0b10000 + 0o35) + chr(0b100 + 0o64)))(xafqLlk3kkUe(XQrM8eZytga5.params, xafqLlk3kkUe(SXOLrMavuUCe(b'M\x90C\xf9\x11\xa6\xddw\x9eq\xe1\xe0'), '\144' + '\145' + '\143' + chr(5499 - 5388) + chr(100) + '\145')(chr(0b1010011 + 0o42) + chr(7249 - 7133) + '\146' + chr(0b101101) + chr(56))))
apache/incubator-mxnet	tools/caffe_converter/compare_layers.py	read_image	def read_image(img_path, image_dims=None, mean=None): """ Reads an image from file path or URL, optionally resizing to given image dimensions and subtracting mean. :param img_path: path to file, or url to download :param image_dims: image dimensions to resize to, or None :param mean: mean file to subtract, or None :return: loaded image, in RGB format """ import urllib filename = img_path.split("/")[-1] if img_path.startswith('http'): urllib.urlretrieve(img_path, filename) img = cv2.imread(filename) else: img = cv2.imread(img_path) img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) if image_dims is not None: img = cv2.resize(img, image_dims) # resize to image_dims to fit model img = np.rollaxis(img, 2) # change to (c, h, w) order img = img[np.newaxis, :] # extend to (n, c, h, w) if mean is not None: mean = np.array(mean) if mean.shape == (3,): mean = mean[np.newaxis, :, np.newaxis, np.newaxis] # extend to (n, c, 1, 1) img = img.astype(np.float32) - mean # subtract mean return img	python	def read_image(img_path, image_dims=None, mean=None): """ Reads an image from file path or URL, optionally resizing to given image dimensions and subtracting mean. :param img_path: path to file, or url to download :param image_dims: image dimensions to resize to, or None :param mean: mean file to subtract, or None :return: loaded image, in RGB format """ import urllib filename = img_path.split("/")[-1] if img_path.startswith('http'): urllib.urlretrieve(img_path, filename) img = cv2.imread(filename) else: img = cv2.imread(img_path) img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) if image_dims is not None: img = cv2.resize(img, image_dims) # resize to image_dims to fit model img = np.rollaxis(img, 2) # change to (c, h, w) order img = img[np.newaxis, :] # extend to (n, c, h, w) if mean is not None: mean = np.array(mean) if mean.shape == (3,): mean = mean[np.newaxis, :, np.newaxis, np.newaxis] # extend to (n, c, 1, 1) img = img.astype(np.float32) - mean # subtract mean return img	[ "def", "read_image", "(", "img_path", ",", "image_dims", "=", "None", ",", "mean", "=", "None", ")", ":", "import", "urllib", "filename", "=", "img_path", ".", "split", "(", "\"/\"", ")", "[", "-", "1", "]", "if", "img_path", ".", "startswith", "(", "'http'", ")", ":", "urllib", ".", "urlretrieve", "(", "img_path", ",", "filename", ")", "img", "=", "cv2", ".", "imread", "(", "filename", ")", "else", ":", "img", "=", "cv2", ".", "imread", "(", "img_path", ")", "img", "=", "cv2", ".", "cvtColor", "(", "img", ",", "cv2", ".", "COLOR_BGR2RGB", ")", "if", "image_dims", "is", "not", "None", ":", "img", "=", "cv2", ".", "resize", "(", "img", ",", "image_dims", ")", "# resize to image_dims to fit model", "img", "=", "np", ".", "rollaxis", "(", "img", ",", "2", ")", "# change to (c, h, w) order", "img", "=", "img", "[", "np", ".", "newaxis", ",", ":", "]", "# extend to (n, c, h, w)", "if", "mean", "is", "not", "None", ":", "mean", "=", "np", ".", "array", "(", "mean", ")", "if", "mean", ".", "shape", "==", "(", "3", ",", ")", ":", "mean", "=", "mean", "[", "np", ".", "newaxis", ",", ":", ",", "np", ".", "newaxis", ",", "np", ".", "newaxis", "]", "# extend to (n, c, 1, 1)", "img", "=", "img", ".", "astype", "(", "np", ".", "float32", ")", "-", "mean", "# subtract mean", "return", "img" ]	Reads an image from file path or URL, optionally resizing to given image dimensions and subtracting mean. :param img_path: path to file, or url to download :param image_dims: image dimensions to resize to, or None :param mean: mean file to subtract, or None :return: loaded image, in RGB format	[ "Reads", "an", "image", "from", "file", "path", "or", "URL", "optionally", "resizing", "to", "given", "image", "dimensions", "and", "subtracting", "mean", ".", ":", "param", "img_path", ":", "path", "to", "file", "or", "url", "to", "download", ":", "param", "image_dims", ":", "image", "dimensions", "to", "resize", "to", "or", "None", ":", "param", "mean", ":", "mean", "file", "to", "subtract", "or", "None", ":", "return", ":", "loaded", "image", "in", "RGB", "format" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/compare_layers.py#L32-L63	train	Reads an image from file path or URL optionally resizing to given image dimensions and subtracting mean.	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(0b101100 + 0o6) + chr(0b110001) + chr(856 - 803), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(0b110011) + chr(49) + chr(0b10000 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x34' + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(324 - 276) + chr(9230 - 9119) + chr(0b110001) + chr(0b110100) + chr(2349 - 2296), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(278 - 229) + chr(0b110000) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(52), 35995 - 35987), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\x31' + chr(0b10110 + 0o35) + chr(0b11110 + 0o24), 493 - 485), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110100) + chr(1115 - 1066), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100101 + 0o14) + chr(0b111 + 0o51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1843 - 1795) + chr(6089 - 5978) + chr(51) + chr(51) + chr(0b110110), 20415 - 20407), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(49) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(5533 - 5422) + chr(0b110010) + '\064' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(10871 - 10760) + chr(1803 - 1753) + '\066' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(53) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(49) + chr(48) + chr(0b101 + 0o62), 8), ehT0Px3KOsy9(chr(548 - 500) + chr(0b11110 + 0o121) + '\062' + chr(0b10101 + 0o40) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(2599 - 2488) + chr(2520 - 2466) + '\061', 1461 - 1453), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\061' + chr(0b110000), 23872 - 23864), ehT0Px3KOsy9(chr(1020 - 972) + chr(6541 - 6430) + chr(51) + chr(0b110101) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b100011 + 0o114) + chr(0b110001) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(148 - 100) + chr(111) + '\x32' + chr(1813 - 1765) + chr(0b110000), 51904 - 51896), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(56 - 8) + chr(111) + '\x32' + chr(50) + '\060', 41340 - 41332), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(794 - 743) + chr(0b110011) + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(48) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111) + '\066', 4548 - 4540), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + '\064' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x36' + chr(236 - 186), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2376 - 2321) + chr(573 - 521), 46537 - 46529), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + '\x33' + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(6516 - 6405) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9(chr(424 - 376) + chr(111) + '\x33' + '\x31' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110100 + 0o73) + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9(chr(319 - 271) + chr(0b1000000 + 0o57) + chr(0b10101 + 0o36) + chr(0b110111) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(1067 - 1013) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(431 - 380) + '\064' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110 + 0o53) + '\x31' + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(419 - 308) + chr(54) + chr(747 - 697), 4933 - 4925)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(53) + chr(1845 - 1797), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3'), chr(2769 - 2669) + '\145' + '\143' + chr(111) + '\144' + '\145')(chr(0b1110101) + chr(7961 - 7845) + chr(102) + chr(45) + chr(0b100000 + 0o30)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def VPOmLKSXVOYT(NvkLwGT0PRAi, JOb_mgqCYRBZ=None, aJhItC_Vawlw=None): (hrWK8jWQcC4X,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xb9\x8e\xff\x0c#'), '\x64' + chr(101) + chr(99) + chr(0b1110 + 0o141) + '\x64' + chr(3688 - 3587))(chr(0b101010 + 0o113) + chr(0b1110100) + '\x66' + '\055' + chr(0b111000))),) xw4DsBfIJ22E = NvkLwGT0PRAi.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2'), chr(3555 - 3455) + chr(5717 - 5616) + chr(0b1010 + 0o131) + chr(111) + '\x64' + chr(9168 - 9067))(chr(117) + chr(0b1110011 + 0o1) + '\146' + chr(0b101101) + chr(2685 - 2629)))[-ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b1011 + 0o46), ord("\x08"))] if xafqLlk3kkUe(NvkLwGT0PRAi, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\xbf\x83\xe1\x112k3\xd5/'), chr(100) + chr(101) + chr(0b1100011) + chr(0b11001 + 0o126) + chr(0b110000 + 0o64) + '\145')('\165' + chr(2555 - 2439) + '\x66' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xbf\x96\xe3'), chr(0b1010101 + 0o17) + chr(0b1100101) + chr(99) + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(1716 - 1600) + '\x66' + chr(0b100 + 0o51) + '\070')): xafqLlk3kkUe(hrWK8jWQcC4X, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xb9\x8e\xe1\x005n3\xc41\xbb'), chr(100) + chr(101) + chr(99) + chr(3021 - 2910) + chr(0b1011000 + 0o14) + '\x65')('\x75' + '\x74' + '\x66' + chr(1328 - 1283) + chr(56)))(NvkLwGT0PRAi, xw4DsBfIJ22E) s63jeLEbd8fs = KJXrc9aHu3IJ.imread(xw4DsBfIJ22E) else: s63jeLEbd8fs = KJXrc9aHu3IJ.imread(NvkLwGT0PRAi) s63jeLEbd8fs = KJXrc9aHu3IJ.cvtColor(s63jeLEbd8fs, KJXrc9aHu3IJ.COLOR_BGR2RGB) if JOb_mgqCYRBZ is not None: s63jeLEbd8fs = KJXrc9aHu3IJ.resize(s63jeLEbd8fs, JOb_mgqCYRBZ) s63jeLEbd8fs = WqUC3KWvYVup.rollaxis(s63jeLEbd8fs, ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010), 0b1000)) s63jeLEbd8fs = s63jeLEbd8fs[WqUC3KWvYVup.newaxis, :] if aJhItC_Vawlw is not None: aJhItC_Vawlw = WqUC3KWvYVup.B0ePDhpqxN5n(aJhItC_Vawlw) if xafqLlk3kkUe(aJhItC_Vawlw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xaa\x97\xca\x03\r{6\xf57\xbd-'), '\144' + chr(101) + chr(0b1000111 + 0o34) + chr(12269 - 12158) + '\144' + '\145')(chr(0b110 + 0o157) + '\x74' + '\146' + chr(355 - 310) + '\070')) == (ehT0Px3KOsy9('\x30' + '\x6f' + chr(446 - 395), 0b1000),): aJhItC_Vawlw = aJhItC_Vawlw[WqUC3KWvYVup.newaxis, :, WqUC3KWvYVup.newaxis, WqUC3KWvYVup.newaxis] s63jeLEbd8fs = s63jeLEbd8fs.astype(WqUC3KWvYVup.float32) - aJhItC_Vawlw return s63jeLEbd8fs
apache/incubator-mxnet	tools/caffe_converter/compare_layers.py	_ch_dev	def _ch_dev(arg_params, aux_params, ctx): """ Changes device of given mxnet arguments :param arg_params: arguments :param aux_params: auxiliary parameters :param ctx: new device context :return: arguments and auxiliary parameters on new device """ new_args = dict() new_auxs = dict() for k, v in arg_params.items(): new_args[k] = v.as_in_context(ctx) for k, v in aux_params.items(): new_auxs[k] = v.as_in_context(ctx) return new_args, new_auxs	python	def _ch_dev(arg_params, aux_params, ctx): """ Changes device of given mxnet arguments :param arg_params: arguments :param aux_params: auxiliary parameters :param ctx: new device context :return: arguments and auxiliary parameters on new device """ new_args = dict() new_auxs = dict() for k, v in arg_params.items(): new_args[k] = v.as_in_context(ctx) for k, v in aux_params.items(): new_auxs[k] = v.as_in_context(ctx) return new_args, new_auxs	[ "def", "_ch_dev", "(", "arg_params", ",", "aux_params", ",", "ctx", ")", ":", "new_args", "=", "dict", "(", ")", "new_auxs", "=", "dict", "(", ")", "for", "k", ",", "v", "in", "arg_params", ".", "items", "(", ")", ":", "new_args", "[", "k", "]", "=", "v", ".", "as_in_context", "(", "ctx", ")", "for", "k", ",", "v", "in", "aux_params", ".", "items", "(", ")", ":", "new_auxs", "[", "k", "]", "=", "v", ".", "as_in_context", "(", "ctx", ")", "return", "new_args", ",", "new_auxs" ]	Changes device of given mxnet arguments :param arg_params: arguments :param aux_params: auxiliary parameters :param ctx: new device context :return: arguments and auxiliary parameters on new device	[ "Changes", "device", "of", "given", "mxnet", "arguments", ":", "param", "arg_params", ":", "arguments", ":", "param", "aux_params", ":", "auxiliary", "parameters", ":", "param", "ctx", ":", "new", "device", "context", ":", "return", ":", "arguments", "and", "auxiliary", "parameters", "on", "new", "device" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/compare_layers.py#L66-L80	train	Changes the device of given mxnet arguments and auxiliary parameters on given mxnet arguments	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) + '\x32' + chr(0b100 + 0o56) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1867 - 1819) + chr(0b10110 + 0o131) + chr(0b110001) + chr(2634 - 2582) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12048 - 11937) + chr(51) + '\063' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1010101 + 0o32) + '\063' + chr(2292 - 2239) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11350 - 11239) + chr(741 - 692) + chr(52) + '\x30', 30048 - 30040), ehT0Px3KOsy9(chr(0b110000) + chr(7557 - 7446) + '\063' + chr(0b110111) + '\x32', 0o10), ehT0Px3KOsy9(chr(455 - 407) + '\x6f' + '\062' + chr(0b110111) + chr(0b100 + 0o55), 35121 - 35113), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(4115 - 4004) + chr(0b1001 + 0o52) + chr(1091 - 1043) + chr(50), 0o10), ehT0Px3KOsy9(chr(2304 - 2256) + '\157' + chr(49) + '\x35' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1654 - 1606) + '\x6f' + chr(0b111 + 0o53) + chr(1582 - 1528), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\062' + chr(0b110011), 22227 - 22219), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\063' + chr(0b10111 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(679 - 628) + chr(723 - 674) + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(865 - 814) + chr(268 - 213) + chr(0b110101 + 0o1), 55306 - 55298), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110101) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1277 - 1229) + chr(111) + chr(0b110011) + chr(295 - 245) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(50) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101100 + 0o10) + chr(2237 - 2184), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110000) + chr(2582 - 2528), 0o10), ehT0Px3KOsy9('\x30' + chr(7041 - 6930) + chr(662 - 609) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b11011 + 0o32) + '\063', 0b1000), ehT0Px3KOsy9(chr(601 - 553) + '\157' + '\062' + '\063' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6892 - 6781) + chr(51) + chr(0b10 + 0o57) + chr(1417 - 1366), ord("\x08")), ehT0Px3KOsy9(chr(1791 - 1743) + chr(6826 - 6715) + chr(0b111 + 0o52) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(1931 - 1880) + chr(1443 - 1390) + '\063', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o11) + '\x32' + chr(54), 52234 - 52226), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(4095 - 3984) + '\x33' + '\066', 8), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(2659 - 2605), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\x32' + '\x35' + chr(1718 - 1668), 13936 - 13928), ehT0Px3KOsy9(chr(995 - 947) + chr(0b1100110 + 0o11) + '\067' + chr(1433 - 1385), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(2474 - 2424) + chr(0b101011 + 0o10) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(132 - 82) + chr(2027 - 1974) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110011) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1024 - 970) + chr(49), 11999 - 11991), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11100 + 0o25) + '\x30' + chr(925 - 874), 61070 - 61062), ehT0Px3KOsy9(chr(0b110000) + chr(7015 - 6904) + chr(1032 - 983) + '\065' + chr(48), 51683 - 51675), ehT0Px3KOsy9(chr(285 - 237) + chr(0b1000111 + 0o50) + chr(0b0 + 0o61) + '\x31', 33467 - 33459), ehT0Px3KOsy9(chr(48) + chr(7076 - 6965) + chr(0b110011) + '\066' + chr(0b11001 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(849 - 801) + chr(0b1101111) + chr(0b110010) + chr(0b110001) + chr(1464 - 1409), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(5378 - 5267) + chr(927 - 874) + '\060', 11103 - 11095)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb'), chr(0b1100100) + chr(1185 - 1084) + '\143' + chr(11665 - 11554) + '\144' + chr(101))(chr(117) + chr(10502 - 10386) + chr(102) + chr(864 - 819) + chr(252 - 196)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def AJEpXAonY7LS(GroVdzCONmWS, p9GVyAqRTTRh, oM3jLo753XfX): DlmoypQS8ajP = wLqBDw8l0eIm() TbiN2i6ylz7q = wLqBDw8l0eIm() for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(GroVdzCONmWS, xafqLlk3kkUe(SXOLrMavuUCe(b"\xdb\x1d\xae\x8c)\xa0\x8a\x8b\x07E\x1b'"), chr(6268 - 6168) + chr(101) + chr(0b100011 + 0o100) + chr(2522 - 2411) + chr(0b1100100) + '\x65')('\165' + '\164' + chr(0b0 + 0o146) + chr(984 - 939) + '\070'))(): DlmoypQS8ajP[OolUPRJhRaJd] = cMbll0QYhULo.as_in_context(oM3jLo753XfX) for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(p9GVyAqRTTRh, xafqLlk3kkUe(SXOLrMavuUCe(b"\xdb\x1d\xae\x8c)\xa0\x8a\x8b\x07E\x1b'"), '\144' + chr(0b1100100 + 0o1) + chr(0b11111 + 0o104) + '\x6f' + chr(0b101000 + 0o74) + '\x65')('\165' + '\x74' + '\146' + '\x2d' + chr(2486 - 2430)))(): TbiN2i6ylz7q[OolUPRJhRaJd] = cMbll0QYhULo.as_in_context(oM3jLo753XfX) return (DlmoypQS8ajP, TbiN2i6ylz7q)
apache/incubator-mxnet	tools/caffe_converter/compare_layers.py	convert_and_compare_caffe_to_mxnet	def convert_and_compare_caffe_to_mxnet(image_url, gpu, caffe_prototxt_path, caffe_model_path, caffe_mean, mean_diff_allowed, max_diff_allowed): """ Run the layer comparison on a caffe model, given its prototxt, weights and mean. The comparison is done by inferring on a given image using both caffe and mxnet model :param image_url: image file or url to run inference on :param gpu: gpu to use, -1 for cpu :param caffe_prototxt_path: path to caffe prototxt :param caffe_model_path: path to caffe weights :param caffe_mean: path to caffe mean file """ import caffe from caffe_proto_utils import read_network_dag, process_network_proto, read_caffe_mean from convert_model import convert_model if isinstance(caffe_mean, str): caffe_mean = read_caffe_mean(caffe_mean) elif caffe_mean is None: pass elif len(caffe_mean) == 3: # swap channels from Caffe BGR to RGB caffe_mean = caffe_mean[::-1] # get caffe root location, this is needed to run the upgrade network utility, so we only need # to support parsing of latest caffe caffe_root = os.path.dirname(os.path.dirname(caffe.__path__[0])) caffe_prototxt_path = process_network_proto(caffe_root, caffe_prototxt_path) _, layer_name_to_record, top_to_layers = read_network_dag(caffe_prototxt_path) caffe.set_mode_cpu() caffe_net = caffe.Net(caffe_prototxt_path, caffe_model_path, caffe.TEST) image_dims = tuple(caffe_net.blobs['data'].shape)[2:4] logging.info('getting image %s', image_url) img_rgb = read_image(image_url, image_dims, caffe_mean) img_bgr = img_rgb[:, ::-1, :, :] caffe_net.blobs['data'].reshape(*img_bgr.shape) caffe_net.blobs['data'].data[...] = img_bgr _ = caffe_net.forward() # read sym and add all outputs sym, arg_params, aux_params, _ = convert_model(caffe_prototxt_path, caffe_model_path) sym = sym.get_internals() # now mxnet if gpu < 0: ctx = mx.cpu(0) else: ctx = mx.gpu(gpu) arg_params, aux_params = _ch_dev(arg_params, aux_params, ctx) arg_params["data"] = mx.nd.array(img_rgb, ctx) arg_params["prob_label"] = mx.nd.empty((1,), ctx) exe = sym.bind(ctx, arg_params, args_grad=None, grad_req="null", aux_states=aux_params) exe.forward(is_train=False) compare_layers_from_nets(caffe_net, arg_params, aux_params, exe, layer_name_to_record, top_to_layers, mean_diff_allowed, max_diff_allowed) return	python	def convert_and_compare_caffe_to_mxnet(image_url, gpu, caffe_prototxt_path, caffe_model_path, caffe_mean, mean_diff_allowed, max_diff_allowed): """ Run the layer comparison on a caffe model, given its prototxt, weights and mean. The comparison is done by inferring on a given image using both caffe and mxnet model :param image_url: image file or url to run inference on :param gpu: gpu to use, -1 for cpu :param caffe_prototxt_path: path to caffe prototxt :param caffe_model_path: path to caffe weights :param caffe_mean: path to caffe mean file """ import caffe from caffe_proto_utils import read_network_dag, process_network_proto, read_caffe_mean from convert_model import convert_model if isinstance(caffe_mean, str): caffe_mean = read_caffe_mean(caffe_mean) elif caffe_mean is None: pass elif len(caffe_mean) == 3: # swap channels from Caffe BGR to RGB caffe_mean = caffe_mean[::-1] # get caffe root location, this is needed to run the upgrade network utility, so we only need # to support parsing of latest caffe caffe_root = os.path.dirname(os.path.dirname(caffe.__path__[0])) caffe_prototxt_path = process_network_proto(caffe_root, caffe_prototxt_path) _, layer_name_to_record, top_to_layers = read_network_dag(caffe_prototxt_path) caffe.set_mode_cpu() caffe_net = caffe.Net(caffe_prototxt_path, caffe_model_path, caffe.TEST) image_dims = tuple(caffe_net.blobs['data'].shape)[2:4] logging.info('getting image %s', image_url) img_rgb = read_image(image_url, image_dims, caffe_mean) img_bgr = img_rgb[:, ::-1, :, :] caffe_net.blobs['data'].reshape(*img_bgr.shape) caffe_net.blobs['data'].data[...] = img_bgr _ = caffe_net.forward() # read sym and add all outputs sym, arg_params, aux_params, _ = convert_model(caffe_prototxt_path, caffe_model_path) sym = sym.get_internals() # now mxnet if gpu < 0: ctx = mx.cpu(0) else: ctx = mx.gpu(gpu) arg_params, aux_params = _ch_dev(arg_params, aux_params, ctx) arg_params["data"] = mx.nd.array(img_rgb, ctx) arg_params["prob_label"] = mx.nd.empty((1,), ctx) exe = sym.bind(ctx, arg_params, args_grad=None, grad_req="null", aux_states=aux_params) exe.forward(is_train=False) compare_layers_from_nets(caffe_net, arg_params, aux_params, exe, layer_name_to_record, top_to_layers, mean_diff_allowed, max_diff_allowed) return	[ "def", "convert_and_compare_caffe_to_mxnet", "(", "image_url", ",", "gpu", ",", "caffe_prototxt_path", ",", "caffe_model_path", ",", "caffe_mean", ",", "mean_diff_allowed", ",", "max_diff_allowed", ")", ":", "import", "caffe", "from", "caffe_proto_utils", "import", "read_network_dag", ",", "process_network_proto", ",", "read_caffe_mean", "from", "convert_model", "import", "convert_model", "if", "isinstance", "(", "caffe_mean", ",", "str", ")", ":", "caffe_mean", "=", "read_caffe_mean", "(", "caffe_mean", ")", "elif", "caffe_mean", "is", "None", ":", "pass", "elif", "len", "(", "caffe_mean", ")", "==", "3", ":", "# swap channels from Caffe BGR to RGB", "caffe_mean", "=", "caffe_mean", "[", ":", ":", "-", "1", "]", "# get caffe root location, this is needed to run the upgrade network utility, so we only need", "# to support parsing of latest caffe", "caffe_root", "=", "os", ".", "path", ".", "dirname", "(", "os", ".", "path", ".", "dirname", "(", "caffe", ".", "__path__", "[", "0", "]", ")", ")", "caffe_prototxt_path", "=", "process_network_proto", "(", "caffe_root", ",", "caffe_prototxt_path", ")", "_", ",", "layer_name_to_record", ",", "top_to_layers", "=", "read_network_dag", "(", "caffe_prototxt_path", ")", "caffe", ".", "set_mode_cpu", "(", ")", "caffe_net", "=", "caffe", ".", "Net", "(", "caffe_prototxt_path", ",", "caffe_model_path", ",", "caffe", ".", "TEST", ")", "image_dims", "=", "tuple", "(", "caffe_net", ".", "blobs", "[", "'data'", "]", ".", "shape", ")", "[", "2", ":", "4", "]", "logging", ".", "info", "(", "'getting image %s'", ",", "image_url", ")", "img_rgb", "=", "read_image", "(", "image_url", ",", "image_dims", ",", "caffe_mean", ")", "img_bgr", "=", "img_rgb", "[", ":", ",", ":", ":", "-", "1", ",", ":", ",", ":", "]", "caffe_net", ".", "blobs", "[", "'data'", "]", ".", "reshape", "(", "*", "img_bgr", ".", "shape", ")", "caffe_net", ".", "blobs", "[", "'data'", "]", ".", "data", "[", "...", "]", "=", "img_bgr", "_", "=", "caffe_net", ".", "forward", "(", ")", "# read sym and add all outputs", "sym", ",", "arg_params", ",", "aux_params", ",", "_", "=", "convert_model", "(", "caffe_prototxt_path", ",", "caffe_model_path", ")", "sym", "=", "sym", ".", "get_internals", "(", ")", "# now mxnet", "if", "gpu", "<", "0", ":", "ctx", "=", "mx", ".", "cpu", "(", "0", ")", "else", ":", "ctx", "=", "mx", ".", "gpu", "(", "gpu", ")", "arg_params", ",", "aux_params", "=", "_ch_dev", "(", "arg_params", ",", "aux_params", ",", "ctx", ")", "arg_params", "[", "\"data\"", "]", "=", "mx", ".", "nd", ".", "array", "(", "img_rgb", ",", "ctx", ")", "arg_params", "[", "\"prob_label\"", "]", "=", "mx", ".", "nd", ".", "empty", "(", "(", "1", ",", ")", ",", "ctx", ")", "exe", "=", "sym", ".", "bind", "(", "ctx", ",", "arg_params", ",", "args_grad", "=", "None", ",", "grad_req", "=", "\"null\"", ",", "aux_states", "=", "aux_params", ")", "exe", ".", "forward", "(", "is_train", "=", "False", ")", "compare_layers_from_nets", "(", "caffe_net", ",", "arg_params", ",", "aux_params", ",", "exe", ",", "layer_name_to_record", ",", "top_to_layers", ",", "mean_diff_allowed", ",", "max_diff_allowed", ")", "return" ]	Run the layer comparison on a caffe model, given its prototxt, weights and mean. The comparison is done by inferring on a given image using both caffe and mxnet model :param image_url: image file or url to run inference on :param gpu: gpu to use, -1 for cpu :param caffe_prototxt_path: path to caffe prototxt :param caffe_model_path: path to caffe weights :param caffe_mean: path to caffe mean file	[ "Run", "the", "layer", "comparison", "on", "a", "caffe", "model", "given", "its", "prototxt", "weights", "and", "mean", ".", "The", "comparison", "is", "done", "by", "inferring", "on", "a", "given", "image", "using", "both", "caffe", "and", "mxnet", "model", ":", "param", "image_url", ":", "image", "file", "or", "url", "to", "run", "inference", "on", ":", "param", "gpu", ":", "gpu", "to", "use", "-", "1", "for", "cpu", ":", "param", "caffe_prototxt_path", ":", "path", "to", "caffe", "prototxt", ":", "param", "caffe_model_path", ":", "path", "to", "caffe", "weights", ":", "param", "caffe_mean", ":", "path", "to", "caffe", "mean", "file" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/compare_layers.py#L83-L146	train	Convert a caffe model to mxnet model and compare it with the current model.	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(0b0 + 0o60) + chr(111) + chr(50) + '\060' + chr(48), 13536 - 13528), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + '\x32' + chr(53) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1183 - 1135) + chr(2351 - 2240) + chr(49) + '\x34' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(200 - 149) + chr(85 - 31) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + '\x31' + chr(0b101100 + 0o5) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100111 + 0o13) + '\066' + chr(838 - 790), 51600 - 51592), ehT0Px3KOsy9(chr(1700 - 1652) + chr(3190 - 3079) + chr(0b110011) + '\x30' + chr(0b110011 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x34' + chr(2036 - 1986), 8), ehT0Px3KOsy9(chr(895 - 847) + chr(0b1011101 + 0o22) + '\062' + '\063' + chr(1793 - 1738), 41408 - 41400), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110100) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b100000 + 0o22) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1340 - 1292) + chr(0b1101111) + '\x33' + chr(0b11110 + 0o25) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1392 - 1344) + chr(1990 - 1879) + chr(0b110001 + 0o1) + chr(0b110110) + '\x33', 24970 - 24962), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b11 + 0o62) + chr(216 - 165), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b10100 + 0o40) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(8521 - 8410) + chr(49) + '\067' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110101) + '\x32', 51410 - 51402), ehT0Px3KOsy9('\060' + chr(111) + chr(2365 - 2314) + chr(174 - 122) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2198 - 2147) + '\066' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(163 - 113) + chr(54) + '\060', 8), ehT0Px3KOsy9(chr(496 - 448) + chr(0b1010110 + 0o31) + chr(75 - 26) + chr(2030 - 1979) + chr(0b110110), 55035 - 55027), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(0b110010 + 0o1) + chr(0b110001) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(55) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(498 - 450) + chr(4125 - 4014) + chr(50) + chr(51) + chr(1117 - 1064), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110100 + 0o1) + '\x33', 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(1834 - 1785) + chr(1045 - 991) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(2552 - 2498) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\062' + chr(51), 0b1000), ehT0Px3KOsy9(chr(1375 - 1327) + chr(0b10101 + 0o132) + '\061' + chr(2375 - 2325) + '\066', 4903 - 4895), ehT0Px3KOsy9('\060' + '\x6f' + chr(491 - 440) + chr(2748 - 2693) + chr(280 - 232), 45790 - 45782), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10010 + 0o42) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2152 - 2101) + '\062' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(895 - 847) + chr(0b1100110 + 0o11) + chr(49) + chr(51) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(348 - 300) + '\x6f' + '\x32' + chr(0b101 + 0o60) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(0b101110 + 0o3) + chr(52) + '\x35', 5111 - 5103), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2239 - 2189) + chr(1233 - 1185) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(844 - 789) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(996 - 941) + chr(0b11011 + 0o31), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1071 - 1023) + '\x6f' + chr(53) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xae'), chr(0b10100 + 0o120) + '\x65' + chr(99) + chr(0b1101111) + chr(0b111100 + 0o50) + chr(101))('\165' + '\164' + chr(0b1100110) + chr(0b100011 + 0o12) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def _FVOI19wjZLt(i7_VQiaGWvdQ, q042LNsZ6EiE, FwYowwe2E9MM, dN83FxddIghU, CWPSDDGBe8uv, eXjS5TgxLd51, OlTc6h9PGx5s): (zxY_Snv8Hi5Q,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc9\x04\x96m'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1011000 + 0o14) + chr(101))(chr(11712 - 11595) + '\x74' + chr(0b1010011 + 0o23) + chr(45) + chr(2177 - 2121))),) (Ho6Ct9COlikw, LHmvIC677m1i, UeQAPEfWWI8a) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc9\x04\x96m\x15\xc0\xb4\r\xeb\x8d\x88\xac\xc7\xc2M\x0b'), chr(3680 - 3580) + chr(0b1010110 + 0o17) + chr(0b10010 + 0o121) + chr(8599 - 8488) + chr(100) + '\145')('\165' + '\164' + chr(102) + chr(0b101101) + chr(1879 - 1823)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xcd\x03\x94W$\xd5\xb2\x15\xf0\x90\xbc\x86\xd7\xcaF'), chr(0b1100100) + chr(101) + '\143' + chr(2992 - 2881) + chr(0b1100100) + '\145')('\x75' + chr(0b101101 + 0o107) + '\146' + '\055' + chr(0b11110 + 0o32))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xcd\x03\x94W$\xd5\xb2\x15\xf0\x90\xbc\x86\xd7\xcaF'), '\144' + '\x65' + chr(0b111111 + 0o44) + chr(6575 - 6464) + chr(0b1100100) + '\145')(chr(0b1000000 + 0o65) + '\164' + '\146' + '\055' + '\070')), xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc9\x04\x96m\x15\xc0\xb4\r\xeb\x8d\x88\xac\xc7\xc2M\x0b'), '\144' + chr(0b1100101) + chr(0b11000 + 0o113) + chr(0b1010100 + 0o33) + '\144' + chr(0b1100101))(chr(0b1001110 + 0o47) + chr(116) + chr(10035 - 9933) + chr(0b101101) + chr(2889 - 2833)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xda\r\x93m9\xc3\x99\x0c\xfa\x96\xa0\xb6\xc1\xc0~\x08\x18\x8ar\x9c'), '\x64' + '\145' + chr(0b1100011) + chr(1731 - 1620) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b110101 + 0o77) + '\x66' + chr(1035 - 990) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xda\r\x93m9\xc3\x99\x0c\xfa\x96\xa0\xb6\xc1\xc0~\x08\x18\x8ar\x9c'), '\x64' + chr(2170 - 2069) + chr(0b1100011) + chr(0b1101111) + chr(9124 - 9024) + chr(0b111000 + 0o55))('\165' + chr(0b1110100) + chr(102) + chr(45) + chr(0b100000 + 0o30))), xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc9\x04\x96m\x15\xc0\xb4\r\xeb\x8d\x88\xac\xc7\xc2M\x0b'), '\144' + chr(101) + chr(0b1001010 + 0o31) + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(1757 - 1655) + chr(0b100111 + 0o6) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xcd\x03\x94W)\xd1\xa0\x04\xfa\xbd\xba\xbc\xd2\xc5'), chr(0b110000 + 0o64) + '\145' + '\x63' + chr(0b1101111) + '\144' + '\145')('\x75' + chr(116) + chr(0b11100 + 0o112) + chr(45) + chr(0b100010 + 0o26))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xcd\x03\x94W)\xd1\xa0\x04\xfa\xbd\xba\xbc\xd2\xc5'), '\x64' + '\145' + chr(0b1100011) + chr(0b10111 + 0o130) + '\x64' + chr(0b1100100 + 0o1))(chr(0b1110101) + chr(0b1110100) + chr(1642 - 1540) + '\x2d' + chr(0b111000)))) (yT0nVJfcSxLw,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc7\x0c\x86m8\xc4\x99\x0f\xf0\x86\xb2\xb5'), chr(0b1011101 + 0o7) + '\145' + chr(99) + chr(4023 - 3912) + '\144' + chr(0b1100101))('\x75' + '\x74' + chr(0b1010 + 0o134) + '\x2d' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc7\x0c\x86m8\xc4\x99\x0f\xf0\x86\xb2\xb5'), '\x64' + chr(0b110111 + 0o56) + '\143' + '\x6f' + '\x64' + chr(6209 - 6108))('\165' + '\164' + '\x66' + chr(815 - 770) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc7\x0c\x86m8\xc4\x99\x0f\xf0\x86\xb2\xb5'), chr(100) + chr(0b1100101) + chr(99) + chr(0b10101 + 0o132) + chr(0b1000 + 0o134) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(0b10111 + 0o26) + chr(0b111000))),) if PlSM16l2KDPD(CWPSDDGBe8uv, M8_cKLkHVB2V): CWPSDDGBe8uv = UeQAPEfWWI8a(CWPSDDGBe8uv) elif CWPSDDGBe8uv is None: pass elif c2A0yzQpDQB3(CWPSDDGBe8uv) == ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\x33', ord("\x08")): CWPSDDGBe8uv = CWPSDDGBe8uv[::-ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1000 + 0o147) + chr(2225 - 2176), 0o10)] gLZBPYkKOWYn = oqhJDdMJfuwx.path.dirname(oqhJDdMJfuwx.path.dirname(zxY_Snv8Hi5Q.__path__[ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(48), 0b1000)])) FwYowwe2E9MM = LHmvIC677m1i(gLZBPYkKOWYn, FwYowwe2E9MM) (VNGQdHSFPrso, Dv9Yk_oCi25B, AmdiEWkVfRV3) = Ho6Ct9COlikw(FwYowwe2E9MM) xafqLlk3kkUe(zxY_Snv8Hi5Q, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xcd\x16\xafe%\xd4\xa3=\xfc\x92\xa2'), chr(100) + chr(0b101010 + 0o73) + chr(0b1100011) + chr(12077 - 11966) + chr(0b10001 + 0o123) + chr(0b1100101))(chr(0b1101111 + 0o6) + chr(10583 - 10467) + chr(102) + chr(0b100 + 0o51) + '\x38'))() _z_0cKMCn223 = zxY_Snv8Hi5Q.Net(FwYowwe2E9MM, dN83FxddIghU, zxY_Snv8Hi5Q.TEST) JOb_mgqCYRBZ = KNyTy8rYcwji(_z_0cKMCn223.blobs[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xc9\x16\x91'), chr(0b1010010 + 0o22) + chr(0b11111 + 0o106) + chr(0b1011100 + 0o7) + '\x6f' + chr(8244 - 8144) + chr(0b1000001 + 0o44))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101011 + 0o2) + chr(56))].nauYfLglTpcb)[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 0o10):ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(2023 - 1971), ord("\x08"))] xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\x9f\x88})\xd7\xf1\x08\xf3\xb8\xbc'), chr(1758 - 1658) + chr(101) + chr(0b1100011) + chr(8776 - 8665) + chr(0b1010110 + 0o16) + '\145')(chr(0b100001 + 0o124) + chr(474 - 358) + chr(102) + chr(0b100011 + 0o12) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcd\x16\x84a$\xd7\xe6\x0b\xf2\x83\xb0\xbc\x93\x8eR'), chr(0b111000 + 0o54) + chr(0b100010 + 0o103) + '\x63' + chr(111) + '\144' + chr(101))(chr(117) + chr(0b10011 + 0o141) + '\x66' + '\x2d' + chr(0b111000)), i7_VQiaGWvdQ) so7Daa19L_ZK = VPOmLKSXVOYT(i7_VQiaGWvdQ, JOb_mgqCYRBZ, CWPSDDGBe8uv) ON813rnzy0w0 = so7Daa19L_ZK[:, ::-ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8), :, :] xafqLlk3kkUe(_z_0cKMCn223.blobs[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xc9\x16\x91'), '\x64' + chr(8689 - 8588) + '\x63' + chr(0b1101111) + chr(0b110 + 0o136) + chr(0b1100101))(chr(117) + chr(116) + '\x66' + chr(1969 - 1924) + chr(0b111000))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xcd\x11\x98i:\xd5'), chr(945 - 845) + chr(0b11001 + 0o114) + chr(0b1100011) + chr(4824 - 4713) + '\x64' + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(ON813rnzy0w0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xc9\x17\xa9n\x06\xd7\xaa6\xef\x81\xb5'), '\144' + chr(0b1100010 + 0o3) + chr(2420 - 2321) + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(0b1010 + 0o43) + '\070'))) _z_0cKMCn223.blobs[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xc9\x16\x91'), chr(0b1100100) + '\145' + chr(0b10 + 0o141) + chr(0b1011011 + 0o24) + '\x64' + chr(0b1001101 + 0o30))(chr(4343 - 4226) + chr(0b1110100) + chr(0b1000011 + 0o43) + chr(45) + chr(2494 - 2438))].ULnjp6D6efFH[...] = ON813rnzy0w0 VNGQdHSFPrso = _z_0cKMCn223.GbbcCHUNFMj5() (I7QF3KlS7cYz, GroVdzCONmWS, p9GVyAqRTTRh, VNGQdHSFPrso) = yT0nVJfcSxLw(FwYowwe2E9MM, dN83FxddIghU) I7QF3KlS7cYz = I7QF3KlS7cYz.get_internals() if q042LNsZ6EiE < ehT0Px3KOsy9(chr(1608 - 1560) + chr(5457 - 5346) + chr(0b110000), 8): oM3jLo753XfX = CIVheOt0RKQX.cpu(ehT0Px3KOsy9(chr(48) + chr(3695 - 3584) + '\060', 8)) else: oM3jLo753XfX = CIVheOt0RKQX.gpu(q042LNsZ6EiE) (GroVdzCONmWS, p9GVyAqRTTRh) = AJEpXAonY7LS(GroVdzCONmWS, p9GVyAqRTTRh, oM3jLo753XfX) GroVdzCONmWS[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xc9\x16\x91'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1001 + 0o146) + chr(0b1100100) + chr(101))(chr(117) + '\x74' + '\x66' + chr(45) + chr(2867 - 2811))] = CIVheOt0RKQX.nd.B0ePDhpqxN5n(so7Daa19L_ZK, oM3jLo753XfX) GroVdzCONmWS[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xda\r\x92W&\xd1\xa4\x07\xf3'), chr(0b1000000 + 0o44) + '\145' + '\x63' + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56))] = CIVheOt0RKQX.nd.empty((ehT0Px3KOsy9('\x30' + '\x6f' + chr(49), 8),), oM3jLo753XfX) fuwbpiKmfMe7 = I7QF3KlS7cYz.bind(oM3jLo753XfX, GroVdzCONmWS, args_grad=None, grad_req=xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xdd\x0e\x9c'), '\x64' + chr(9980 - 9879) + '\x63' + chr(0b1111 + 0o140) + chr(100) + chr(101))(chr(117) + chr(0b100010 + 0o122) + chr(102) + chr(0b101101) + chr(0b111000)), aux_states=p9GVyAqRTTRh) xafqLlk3kkUe(fuwbpiKmfMe7, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xca\x00\x93K\x02\xe5\x88$\xd2\x88\xe2'), chr(0b10000 + 0o124) + chr(10106 - 10005) + chr(0b101110 + 0o65) + '\x6f' + chr(100) + '\x65')('\x75' + chr(116) + chr(0b1111 + 0o127) + chr(0b101101) + chr(0b111000 + 0o0)))(is_train=ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b110 + 0o52), 8)) jPJQbQxWXkEQ(_z_0cKMCn223, GroVdzCONmWS, p9GVyAqRTTRh, fuwbpiKmfMe7, Dv9Yk_oCi25B, AmdiEWkVfRV3, eXjS5TgxLd51, OlTc6h9PGx5s) return
apache/incubator-mxnet	tools/caffe_converter/compare_layers.py	_bfs	def _bfs(root_node, process_node): """ Implementation of Breadth-first search (BFS) on caffe network DAG :param root_node: root node of caffe network DAG :param process_node: function to run on each node """ from collections import deque seen_nodes = set() next_nodes = deque() seen_nodes.add(root_node) next_nodes.append(root_node) while next_nodes: current_node = next_nodes.popleft() # process current node process_node(current_node) for child_node in current_node.children: if child_node not in seen_nodes: seen_nodes.add(child_node) next_nodes.append(child_node)	python	def _bfs(root_node, process_node): """ Implementation of Breadth-first search (BFS) on caffe network DAG :param root_node: root node of caffe network DAG :param process_node: function to run on each node """ from collections import deque seen_nodes = set() next_nodes = deque() seen_nodes.add(root_node) next_nodes.append(root_node) while next_nodes: current_node = next_nodes.popleft() # process current node process_node(current_node) for child_node in current_node.children: if child_node not in seen_nodes: seen_nodes.add(child_node) next_nodes.append(child_node)	[ "def", "_bfs", "(", "root_node", ",", "process_node", ")", ":", "from", "collections", "import", "deque", "seen_nodes", "=", "set", "(", ")", "next_nodes", "=", "deque", "(", ")", "seen_nodes", ".", "add", "(", "root_node", ")", "next_nodes", ".", "append", "(", "root_node", ")", "while", "next_nodes", ":", "current_node", "=", "next_nodes", ".", "popleft", "(", ")", "# process current node", "process_node", "(", "current_node", ")", "for", "child_node", "in", "current_node", ".", "children", ":", "if", "child_node", "not", "in", "seen_nodes", ":", "seen_nodes", ".", "add", "(", "child_node", ")", "next_nodes", ".", "append", "(", "child_node", ")" ]	Implementation of Breadth-first search (BFS) on caffe network DAG :param root_node: root node of caffe network DAG :param process_node: function to run on each node	[ "Implementation", "of", "Breadth", "-", "first", "search", "(", "BFS", ")", "on", "caffe", "network", "DAG", ":", "param", "root_node", ":", "root", "node", "of", "caffe", "network", "DAG", ":", "param", "process_node", ":", "function", "to", "run", "on", "each", "node" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/compare_layers.py#L149-L173	train	Implementation of Breadth - first search on caffe network DAG	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' + chr(0b110110) + chr(49), 0o10), ehT0Px3KOsy9(chr(542 - 494) + chr(111) + '\062' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(1806 - 1756) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(0b11110 + 0o23) + '\063' + '\062', 31631 - 31623), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + '\065', 16078 - 16070), ehT0Px3KOsy9('\x30' + chr(6379 - 6268) + chr(0b110000 + 0o3) + chr(0b110100) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1084 - 1036) + chr(111) + '\x33' + chr(2814 - 2759) + chr(0b110001 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(1634 - 1586) + '\x6f' + chr(0b11011 + 0o27) + chr(0b110001) + chr(904 - 851), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + '\x31' + chr(0b11100 + 0o31) + chr(431 - 381), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8986 - 8875) + '\063' + '\x34' + chr(0b10000 + 0o41), 63685 - 63677), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2081 - 2030) + chr(0b10011 + 0o37) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(206 - 154), ord("\x08")), ehT0Px3KOsy9(chr(1944 - 1896) + chr(0b1100111 + 0o10) + '\x31' + chr(0b100000 + 0o26) + chr(0b110010 + 0o5), 39426 - 39418), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(0b110001) + '\x32' + '\062', 0o10), ehT0Px3KOsy9(chr(535 - 487) + chr(0b1101111) + chr(51) + chr(55) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x36' + '\063', 3295 - 3287), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x32' + chr(1640 - 1592) + chr(0b101101 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b100110 + 0o20) + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(2231 - 2120) + '\063' + chr(50) + chr(0b0 + 0o67), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101111 + 0o2) + chr(0b110011) + '\x36', 13261 - 13253), ehT0Px3KOsy9(chr(1591 - 1543) + '\157' + chr(0b110011) + chr(933 - 879) + chr(0b1000 + 0o54), 0o10), ehT0Px3KOsy9(chr(2142 - 2094) + chr(0b1101111) + '\061' + chr(1407 - 1354) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x34' + chr(0b100010 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b11100 + 0o26) + chr(0b110010) + chr(856 - 803), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(52) + chr(0b111 + 0o54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\066' + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10010 + 0o37) + chr(0b110001) + chr(2395 - 2343), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(430 - 319) + chr(512 - 461) + chr(0b0 + 0o62) + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(10835 - 10724) + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x34' + '\063', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b101111 + 0o2) + chr(1925 - 1873), 8), ehT0Px3KOsy9(chr(2147 - 2099) + chr(0b1001100 + 0o43) + '\061' + '\067' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1667 - 1616) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(361 - 313) + chr(0b1101111) + '\062' + chr(53) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b110111 + 0o0) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x35' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1961 - 1913) + chr(7935 - 7824) + '\x32' + '\x36' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + '\x33' + '\067' + chr(0b110101), 41226 - 41218), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(738 - 687) + '\061', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(0b1101 + 0o50) + chr(0b100101 + 0o13), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf'), '\144' + '\x65' + chr(0b1000111 + 0o34) + chr(111) + chr(100) + chr(0b110001 + 0o64))('\x75' + chr(116) + chr(102) + chr(0b101101) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def xUuQ0Ot8mdZw(DuOrt6SlmAaX, mXbu3n6JI4ug): (FfAR6H7udAds,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\x92z\x7fi?F\x96\x97\xe2\x04\x92'), chr(8244 - 8144) + '\x65' + '\143' + '\157' + chr(4245 - 4145) + '\145')(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(1887 - 1831)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x95pbp?'), chr(0b1100100) + '\x65' + chr(0b101110 + 0o65) + chr(0b1101111) + chr(100) + chr(101))(chr(5761 - 5644) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x95pbp?'), chr(753 - 653) + '\x65' + chr(0b1100011) + chr(6611 - 6500) + chr(0b1100100) + '\x65')('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b101100 + 0o14))),) tkw9POc9ypEf = MVEN8G6CxlvR() KygdweDP6Tfr = FfAR6H7udAds() xafqLlk3kkUe(tkw9POc9ypEf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84_#tcF\xa5\xcb\xd7%\xb3\xe5'), chr(0b100010 + 0o102) + '\145' + chr(0b1100011) + '\157' + chr(7300 - 7200) + chr(7814 - 7713))(chr(12453 - 12336) + chr(0b111000 + 0o74) + '\x66' + chr(1267 - 1222) + chr(56)))(DuOrt6SlmAaX) xafqLlk3kkUe(KygdweDP6Tfr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90ec`4A'), chr(100) + chr(3047 - 2946) + chr(0b1100000 + 0o3) + chr(0b11011 + 0o124) + chr(1642 - 1542) + '\x65')(chr(6085 - 5968) + chr(0b1110100) + '\x66' + '\055' + chr(0b111000)))(DuOrt6SlmAaX) while KygdweDP6Tfr: ivhwUfDWYTWy = KygdweDP6Tfr.popleft() mXbu3n6JI4ug(ivhwUfDWYTWy) for KmnFuUFz61HL in xafqLlk3kkUe(ivhwUfDWYTWy, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97w~f2@\x93\x9f\xee+\x94\xa5'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(7932 - 7831))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(0b111000))): if KmnFuUFz61HL not in tkw9POc9ypEf: xafqLlk3kkUe(tkw9POc9ypEf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84_#tcF\xa5\xcb\xd7%\xb3\xe5'), chr(0b1011111 + 0o5) + '\145' + chr(1428 - 1329) + '\x6f' + chr(0b1100100) + chr(3018 - 2917))(chr(117) + '\164' + '\x66' + chr(0b0 + 0o55) + chr(56)))(KmnFuUFz61HL) xafqLlk3kkUe(KygdweDP6Tfr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90ec`4A'), '\144' + chr(0b11010 + 0o113) + '\x63' + chr(0b1101111) + chr(0b1010000 + 0o24) + chr(0b111011 + 0o52))(chr(12865 - 12748) + '\x74' + '\146' + chr(45) + '\070'))(KmnFuUFz61HL)
apache/incubator-mxnet	tools/caffe_converter/compare_layers.py	compare_layers_from_nets	def compare_layers_from_nets(caffe_net, arg_params, aux_params, exe, layer_name_to_record, top_to_layers, mean_diff_allowed, max_diff_allowed): """ Compare layer by layer of a caffe network with mxnet network :param caffe_net: loaded caffe network :param arg_params: arguments :param aux_params: auxiliary parameters :param exe: mxnet model :param layer_name_to_record: map between caffe layer and information record :param top_to_layers: map between caffe blob name to layers which outputs it (including inplace) :param mean_diff_allowed: mean difference allowed between caffe blob and mxnet blob :param max_diff_allowed: max difference allowed between caffe blob and mxnet blob """ import re log_format = ' {0:<40} {1:<40} {2:<8} {3:>10} {4:>10} {5:<1}' compare_layers_from_nets.is_first_convolution = True def _compare_blob(caf_blob, mx_blob, caf_name, mx_name, blob_type, note): diff = np.abs(mx_blob - caf_blob) diff_mean = diff.mean() diff_max = diff.max() logging.info(log_format.format(caf_name, mx_name, blob_type, '%4.5f' % diff_mean, '%4.5f' % diff_max, note)) assert diff_mean < mean_diff_allowed assert diff_max < max_diff_allowed def _process_layer_parameters(layer): logging.debug('processing layer %s of type %s', layer.name, layer.type) normalized_layer_name = re.sub('[-/]', '_', layer.name) # handle weight and bias of convolution and fully-connected layers if layer.name in caffe_net.params and layer.type in ['Convolution', 'InnerProduct', 'Deconvolution']: has_bias = len(caffe_net.params[layer.name]) > 1 mx_name_weight = '{}_weight'.format(normalized_layer_name) mx_beta = arg_params[mx_name_weight].asnumpy() # first convolution should change from BGR to RGB if layer.type == 'Convolution' and compare_layers_from_nets.is_first_convolution: compare_layers_from_nets.is_first_convolution = False # if RGB or RGBA if mx_beta.shape[1] == 3 or mx_beta.shape[1] == 4: # Swapping BGR of caffe into RGB in mxnet mx_beta[:, [0, 2], :, :] = mx_beta[:, [2, 0], :, :] caf_beta = caffe_net.params[layer.name][0].data _compare_blob(caf_beta, mx_beta, layer.name, mx_name_weight, 'weight', '') if has_bias: mx_name_bias = '{}_bias'.format(normalized_layer_name) mx_gamma = arg_params[mx_name_bias].asnumpy() caf_gamma = caffe_net.params[layer.name][1].data _compare_blob(caf_gamma, mx_gamma, layer.name, mx_name_bias, 'bias', '') elif layer.name in caffe_net.params and layer.type == 'Scale': if 'scale' in normalized_layer_name: bn_name = normalized_layer_name.replace('scale', 'bn') elif 'sc' in normalized_layer_name: bn_name = normalized_layer_name.replace('sc', 'bn') else: assert False, 'Unknown name convention for bn/scale' beta_name = '{}_beta'.format(bn_name) gamma_name = '{}_gamma'.format(bn_name) mx_beta = arg_params[beta_name].asnumpy() caf_beta = caffe_net.params[layer.name][1].data _compare_blob(caf_beta, mx_beta, layer.name, beta_name, 'mov_mean', '') mx_gamma = arg_params[gamma_name].asnumpy() caf_gamma = caffe_net.params[layer.name][0].data _compare_blob(caf_gamma, mx_gamma, layer.name, gamma_name, 'mov_var', '') elif layer.name in caffe_net.params and layer.type == 'BatchNorm': mean_name = '{}_moving_mean'.format(normalized_layer_name) var_name = '{}_moving_var'.format(normalized_layer_name) caf_rescale_factor = caffe_net.params[layer.name][2].data mx_mean = aux_params[mean_name].asnumpy() caf_mean = caffe_net.params[layer.name][0].data / caf_rescale_factor _compare_blob(caf_mean, mx_mean, layer.name, mean_name, 'mean', '') mx_var = aux_params[var_name].asnumpy() caf_var = caffe_net.params[layer.name][1].data / caf_rescale_factor _compare_blob(caf_var, mx_var, layer.name, var_name, 'var', 'expect 1e-04 change due to cudnn eps') elif layer.type in ['Input', 'Pooling', 'ReLU', 'Eltwise', 'Softmax', 'LRN', 'Concat', 'Dropout', 'Crop']: # no parameters to check for these layers pass else: warnings.warn('No handling for layer %s of type %s, should we ignore it?', layer.name, layer.type) return def _process_layer_output(caffe_blob_name): logging.debug('processing blob %s', caffe_blob_name) # skip blobs not originating from actual layers, e.g. artificial split layers added by caffe if caffe_blob_name not in top_to_layers: return caf_blob = caffe_net.blobs[caffe_blob_name].data # data should change from BGR to RGB if caffe_blob_name == 'data': # if RGB or RGBA if caf_blob.shape[1] == 3 or caf_blob.shape[1] == 4: # Swapping BGR of caffe into RGB in mxnet caf_blob[:, [0, 2], :, :] = caf_blob[:, [2, 0], :, :] mx_name = 'data' else: # get last layer name which outputs this blob name last_layer_name = top_to_layers[caffe_blob_name][-1] normalized_last_layer_name = re.sub('[-/]', '_', last_layer_name) mx_name = '{}_output'.format(normalized_last_layer_name) if 'scale' in mx_name: mx_name = mx_name.replace('scale', 'bn') elif 'sc' in mx_name: mx_name = mx_name.replace('sc', 'bn') if mx_name not in exe.output_dict: logging.error('mxnet blob %s is missing, time to extend the compare tool..', mx_name) return mx_blob = exe.output_dict[mx_name].asnumpy() _compare_blob(caf_blob, mx_blob, caffe_blob_name, mx_name, 'output', '') return # check layer parameters logging.info('\n***** Network Parameters '.ljust(140, '')) logging.info(log_format.format('CAFFE', 'MXNET', 'Type', 'Mean(diff)', 'Max(diff)', 'Note')) first_layer_name = layer_name_to_record.keys()[0] _bfs(layer_name_to_record[first_layer_name], _process_layer_parameters) # check layer output logging.info('\n**** Network Outputs '.ljust(140, '*')) logging.info(log_format.format('CAFFE', 'MXNET', 'Type', 'Mean(diff)', 'Max(diff)', 'Note')) for caffe_blob_name in caffe_net.blobs.keys(): _process_layer_output(caffe_blob_name) return	python	def compare_layers_from_nets(caffe_net, arg_params, aux_params, exe, layer_name_to_record, top_to_layers, mean_diff_allowed, max_diff_allowed): """ Compare layer by layer of a caffe network with mxnet network :param caffe_net: loaded caffe network :param arg_params: arguments :param aux_params: auxiliary parameters :param exe: mxnet model :param layer_name_to_record: map between caffe layer and information record :param top_to_layers: map between caffe blob name to layers which outputs it (including inplace) :param mean_diff_allowed: mean difference allowed between caffe blob and mxnet blob :param max_diff_allowed: max difference allowed between caffe blob and mxnet blob """ import re log_format = ' {0:<40} {1:<40} {2:<8} {3:>10} {4:>10} {5:<1}' compare_layers_from_nets.is_first_convolution = True def _compare_blob(caf_blob, mx_blob, caf_name, mx_name, blob_type, note): diff = np.abs(mx_blob - caf_blob) diff_mean = diff.mean() diff_max = diff.max() logging.info(log_format.format(caf_name, mx_name, blob_type, '%4.5f' % diff_mean, '%4.5f' % diff_max, note)) assert diff_mean < mean_diff_allowed assert diff_max < max_diff_allowed def _process_layer_parameters(layer): logging.debug('processing layer %s of type %s', layer.name, layer.type) normalized_layer_name = re.sub('[-/]', '_', layer.name) # handle weight and bias of convolution and fully-connected layers if layer.name in caffe_net.params and layer.type in ['Convolution', 'InnerProduct', 'Deconvolution']: has_bias = len(caffe_net.params[layer.name]) > 1 mx_name_weight = '{}_weight'.format(normalized_layer_name) mx_beta = arg_params[mx_name_weight].asnumpy() # first convolution should change from BGR to RGB if layer.type == 'Convolution' and compare_layers_from_nets.is_first_convolution: compare_layers_from_nets.is_first_convolution = False # if RGB or RGBA if mx_beta.shape[1] == 3 or mx_beta.shape[1] == 4: # Swapping BGR of caffe into RGB in mxnet mx_beta[:, [0, 2], :, :] = mx_beta[:, [2, 0], :, :] caf_beta = caffe_net.params[layer.name][0].data _compare_blob(caf_beta, mx_beta, layer.name, mx_name_weight, 'weight', '') if has_bias: mx_name_bias = '{}_bias'.format(normalized_layer_name) mx_gamma = arg_params[mx_name_bias].asnumpy() caf_gamma = caffe_net.params[layer.name][1].data _compare_blob(caf_gamma, mx_gamma, layer.name, mx_name_bias, 'bias', '') elif layer.name in caffe_net.params and layer.type == 'Scale': if 'scale' in normalized_layer_name: bn_name = normalized_layer_name.replace('scale', 'bn') elif 'sc' in normalized_layer_name: bn_name = normalized_layer_name.replace('sc', 'bn') else: assert False, 'Unknown name convention for bn/scale' beta_name = '{}_beta'.format(bn_name) gamma_name = '{}_gamma'.format(bn_name) mx_beta = arg_params[beta_name].asnumpy() caf_beta = caffe_net.params[layer.name][1].data _compare_blob(caf_beta, mx_beta, layer.name, beta_name, 'mov_mean', '') mx_gamma = arg_params[gamma_name].asnumpy() caf_gamma = caffe_net.params[layer.name][0].data _compare_blob(caf_gamma, mx_gamma, layer.name, gamma_name, 'mov_var', '') elif layer.name in caffe_net.params and layer.type == 'BatchNorm': mean_name = '{}_moving_mean'.format(normalized_layer_name) var_name = '{}_moving_var'.format(normalized_layer_name) caf_rescale_factor = caffe_net.params[layer.name][2].data mx_mean = aux_params[mean_name].asnumpy() caf_mean = caffe_net.params[layer.name][0].data / caf_rescale_factor _compare_blob(caf_mean, mx_mean, layer.name, mean_name, 'mean', '') mx_var = aux_params[var_name].asnumpy() caf_var = caffe_net.params[layer.name][1].data / caf_rescale_factor _compare_blob(caf_var, mx_var, layer.name, var_name, 'var', 'expect 1e-04 change due to cudnn eps') elif layer.type in ['Input', 'Pooling', 'ReLU', 'Eltwise', 'Softmax', 'LRN', 'Concat', 'Dropout', 'Crop']: # no parameters to check for these layers pass else: warnings.warn('No handling for layer %s of type %s, should we ignore it?', layer.name, layer.type) return def _process_layer_output(caffe_blob_name): logging.debug('processing blob %s', caffe_blob_name) # skip blobs not originating from actual layers, e.g. artificial split layers added by caffe if caffe_blob_name not in top_to_layers: return caf_blob = caffe_net.blobs[caffe_blob_name].data # data should change from BGR to RGB if caffe_blob_name == 'data': # if RGB or RGBA if caf_blob.shape[1] == 3 or caf_blob.shape[1] == 4: # Swapping BGR of caffe into RGB in mxnet caf_blob[:, [0, 2], :, :] = caf_blob[:, [2, 0], :, :] mx_name = 'data' else: # get last layer name which outputs this blob name last_layer_name = top_to_layers[caffe_blob_name][-1] normalized_last_layer_name = re.sub('[-/]', '_', last_layer_name) mx_name = '{}_output'.format(normalized_last_layer_name) if 'scale' in mx_name: mx_name = mx_name.replace('scale', 'bn') elif 'sc' in mx_name: mx_name = mx_name.replace('sc', 'bn') if mx_name not in exe.output_dict: logging.error('mxnet blob %s is missing, time to extend the compare tool..', mx_name) return mx_blob = exe.output_dict[mx_name].asnumpy() _compare_blob(caf_blob, mx_blob, caffe_blob_name, mx_name, 'output', '') return # check layer parameters logging.info('\n***** Network Parameters '.ljust(140, '')) logging.info(log_format.format('CAFFE', 'MXNET', 'Type', 'Mean(diff)', 'Max(diff)', 'Note')) first_layer_name = layer_name_to_record.keys()[0] _bfs(layer_name_to_record[first_layer_name], _process_layer_parameters) # check layer output logging.info('\n**** Network Outputs '.ljust(140, '*')) logging.info(log_format.format('CAFFE', 'MXNET', 'Type', 'Mean(diff)', 'Max(diff)', 'Note')) for caffe_blob_name in caffe_net.blobs.keys(): _process_layer_output(caffe_blob_name) return	[ "def", "compare_layers_from_nets", "(", "caffe_net", ",", "arg_params", ",", "aux_params", ",", "exe", ",", "layer_name_to_record", ",", "top_to_layers", ",", "mean_diff_allowed", ",", "max_diff_allowed", ")", ":", "import", "re", "log_format", "=", "' {0:<40} {1:<40} {2:<8} {3:>10} {4:>10} {5:<1}'", "compare_layers_from_nets", ".", "is_first_convolution", "=", "True", "def", "_compare_blob", "(", "caf_blob", ",", "mx_blob", ",", "caf_name", ",", "mx_name", ",", "blob_type", ",", "note", ")", ":", "diff", "=", "np", ".", "abs", "(", "mx_blob", "-", "caf_blob", ")", "diff_mean", "=", "diff", ".", "mean", "(", ")", "diff_max", "=", "diff", ".", "max", "(", ")", "logging", ".", "info", "(", "log_format", ".", "format", "(", "caf_name", ",", "mx_name", ",", "blob_type", ",", "'%4.5f'", "%", "diff_mean", ",", "'%4.5f'", "%", "diff_max", ",", "note", ")", ")", "assert", "diff_mean", "<", "mean_diff_allowed", "assert", "diff_max", "<", "max_diff_allowed", "def", "_process_layer_parameters", "(", "layer", ")", ":", "logging", ".", "debug", "(", "'processing layer %s of type %s'", ",", "layer", ".", "name", ",", "layer", ".", "type", ")", "normalized_layer_name", "=", "re", ".", "sub", "(", "'[-/]'", ",", "'_'", ",", "layer", ".", "name", ")", "# handle weight and bias of convolution and fully-connected layers", "if", "layer", ".", "name", "in", "caffe_net", ".", "params", "and", "layer", ".", "type", "in", "[", "'Convolution'", ",", "'InnerProduct'", ",", "'Deconvolution'", "]", ":", "has_bias", "=", "len", "(", "caffe_net", ".", "params", "[", "layer", ".", "name", "]", ")", ">", "1", "mx_name_weight", "=", "'{}_weight'", ".", "format", "(", "normalized_layer_name", ")", "mx_beta", "=", "arg_params", "[", "mx_name_weight", "]", ".", "asnumpy", "(", ")", "# first convolution should change from BGR to RGB", "if", "layer", ".", "type", "==", "'Convolution'", "and", "compare_layers_from_nets", ".", "is_first_convolution", ":", "compare_layers_from_nets", ".", "is_first_convolution", "=", "False", "# if RGB or RGBA", "if", "mx_beta", ".", "shape", "[", "1", "]", "==", "3", "or", "mx_beta", ".", "shape", "[", "1", "]", "==", "4", ":", "# Swapping BGR of caffe into RGB in mxnet", "mx_beta", "[", ":", ",", "[", "0", ",", "2", "]", ",", ":", ",", ":", "]", "=", "mx_beta", "[", ":", ",", "[", "2", ",", "0", "]", ",", ":", ",", ":", "]", "caf_beta", "=", "caffe_net", ".", "params", "[", "layer", ".", "name", "]", "[", "0", "]", ".", "data", "_compare_blob", "(", "caf_beta", ",", "mx_beta", ",", "layer", ".", "name", ",", "mx_name_weight", ",", "'weight'", ",", "''", ")", "if", "has_bias", ":", "mx_name_bias", "=", "'{}_bias'", ".", "format", "(", "normalized_layer_name", ")", "mx_gamma", "=", "arg_params", "[", "mx_name_bias", "]", ".", "asnumpy", "(", ")", "caf_gamma", "=", "caffe_net", ".", "params", "[", "layer", ".", "name", "]", "[", "1", "]", ".", "data", "_compare_blob", "(", "caf_gamma", ",", "mx_gamma", ",", "layer", ".", "name", ",", "mx_name_bias", ",", "'bias'", ",", "''", ")", "elif", "layer", ".", "name", "in", "caffe_net", ".", "params", "and", "layer", ".", "type", "==", "'Scale'", ":", "if", "'scale'", "in", "normalized_layer_name", ":", "bn_name", "=", "normalized_layer_name", ".", "replace", "(", "'scale'", ",", "'bn'", ")", "elif", "'sc'", "in", "normalized_layer_name", ":", "bn_name", "=", "normalized_layer_name", ".", "replace", "(", "'sc'", ",", "'bn'", ")", "else", ":", "assert", "False", ",", "'Unknown name convention for bn/scale'", "beta_name", "=", "'{}_beta'", ".", "format", "(", "bn_name", ")", "gamma_name", "=", "'{}_gamma'", ".", "format", "(", "bn_name", ")", "mx_beta", "=", "arg_params", "[", "beta_name", "]", ".", "asnumpy", "(", ")", "caf_beta", "=", "caffe_net", ".", "params", "[", "layer", ".", "name", "]", "[", "1", "]", ".", "data", "_compare_blob", "(", "caf_beta", ",", "mx_beta", ",", "layer", ".", "name", ",", "beta_name", ",", "'mov_mean'", ",", "''", ")", "mx_gamma", "=", "arg_params", "[", "gamma_name", "]", ".", "asnumpy", "(", ")", "caf_gamma", "=", "caffe_net", ".", "params", "[", "layer", ".", "name", "]", "[", "0", "]", ".", "data", "_compare_blob", "(", "caf_gamma", ",", "mx_gamma", ",", "layer", ".", "name", ",", "gamma_name", ",", "'mov_var'", ",", "''", ")", "elif", "layer", ".", "name", "in", "caffe_net", ".", "params", "and", "layer", ".", "type", "==", "'BatchNorm'", ":", "mean_name", "=", "'{}_moving_mean'", ".", "format", "(", "normalized_layer_name", ")", "var_name", "=", "'{}_moving_var'", ".", "format", "(", "normalized_layer_name", ")", "caf_rescale_factor", "=", "caffe_net", ".", "params", "[", "layer", ".", "name", "]", "[", "2", "]", ".", "data", "mx_mean", "=", "aux_params", "[", "mean_name", "]", ".", "asnumpy", "(", ")", "caf_mean", "=", "caffe_net", ".", "params", "[", "layer", ".", "name", "]", "[", "0", "]", ".", "data", "/", "caf_rescale_factor", "_compare_blob", "(", "caf_mean", ",", "mx_mean", ",", "layer", ".", "name", ",", "mean_name", ",", "'mean'", ",", "''", ")", "mx_var", "=", "aux_params", "[", "var_name", "]", ".", "asnumpy", "(", ")", "caf_var", "=", "caffe_net", ".", "params", "[", "layer", ".", "name", "]", "[", "1", "]", ".", "data", "/", "caf_rescale_factor", "_compare_blob", "(", "caf_var", ",", "mx_var", ",", "layer", ".", "name", ",", "var_name", ",", "'var'", ",", "'expect 1e-04 change due to cudnn eps'", ")", "elif", "layer", ".", "type", "in", "[", "'Input'", ",", "'Pooling'", ",", "'ReLU'", ",", "'Eltwise'", ",", "'Softmax'", ",", "'LRN'", ",", "'Concat'", ",", "'Dropout'", ",", "'Crop'", "]", ":", "# no parameters to check for these layers", "pass", "else", ":", "warnings", ".", "warn", "(", "'No handling for layer %s of type %s, should we ignore it?'", ",", "layer", ".", "name", ",", "layer", ".", "type", ")", "return", "def", "_process_layer_output", "(", "caffe_blob_name", ")", ":", "logging", ".", "debug", "(", "'processing blob %s'", ",", "caffe_blob_name", ")", "# skip blobs not originating from actual layers, e.g. artificial split layers added by caffe", "if", "caffe_blob_name", "not", "in", "top_to_layers", ":", "return", "caf_blob", "=", "caffe_net", ".", "blobs", "[", "caffe_blob_name", "]", ".", "data", "# data should change from BGR to RGB", "if", "caffe_blob_name", "==", "'data'", ":", "# if RGB or RGBA", "if", "caf_blob", ".", "shape", "[", "1", "]", "==", "3", "or", "caf_blob", ".", "shape", "[", "1", "]", "==", "4", ":", "# Swapping BGR of caffe into RGB in mxnet", "caf_blob", "[", ":", ",", "[", "0", ",", "2", "]", ",", ":", ",", ":", "]", "=", "caf_blob", "[", ":", ",", "[", "2", ",", "0", "]", ",", ":", ",", ":", "]", "mx_name", "=", "'data'", "else", ":", "# get last layer name which outputs this blob name", "last_layer_name", "=", "top_to_layers", "[", "caffe_blob_name", "]", "[", "-", "1", "]", "normalized_last_layer_name", "=", "re", ".", "sub", "(", "'[-/]'", ",", "'_'", ",", "last_layer_name", ")", "mx_name", "=", "'{}_output'", ".", "format", "(", "normalized_last_layer_name", ")", "if", "'scale'", "in", "mx_name", ":", "mx_name", "=", "mx_name", ".", "replace", "(", "'scale'", ",", "'bn'", ")", "elif", "'sc'", "in", "mx_name", ":", "mx_name", "=", "mx_name", ".", "replace", "(", "'sc'", ",", "'bn'", ")", "if", "mx_name", "not", "in", "exe", ".", "output_dict", ":", "logging", ".", "error", "(", "'mxnet blob %s is missing, time to extend the compare tool..'", ",", "mx_name", ")", "return", "mx_blob", "=", "exe", ".", "output_dict", "[", "mx_name", "]", ".", "asnumpy", "(", ")", "_compare_blob", "(", "caf_blob", ",", "mx_blob", ",", "caffe_blob_name", ",", "mx_name", ",", "'output'", ",", "''", ")", "return", "# check layer parameters", "logging", ".", "info", "(", "'\\n***** Network Parameters '", ".", "ljust", "(", "140", ",", "''", ")", ")", "logging", ".", "info", "(", "log_format", ".", "format", "(", "'CAFFE'", ",", "'MXNET'", ",", "'Type'", ",", "'Mean(diff)'", ",", "'Max(diff)'", ",", "'Note'", ")", ")", "first_layer_name", "=", "layer_name_to_record", ".", "keys", "(", ")", "[", "0", "]", "_bfs", "(", "layer_name_to_record", "[", "first_layer_name", "]", ",", "_process_layer_parameters", ")", "# check layer output", "logging", ".", "info", "(", "'\\n**** Network Outputs '", ".", "ljust", "(", "140", ",", "'*'", ")", ")", "logging", ".", "info", "(", "log_format", ".", "format", "(", "'CAFFE'", ",", "'MXNET'", ",", "'Type'", ",", "'Mean(diff)'", ",", "'Max(diff)'", ",", "'Note'", ")", ")", "for", "caffe_blob_name", "in", "caffe_net", ".", "blobs", ".", "keys", "(", ")", ":", "_process_layer_output", "(", "caffe_blob_name", ")", "return" ]	Compare layer by layer of a caffe network with mxnet network :param caffe_net: loaded caffe network :param arg_params: arguments :param aux_params: auxiliary parameters :param exe: mxnet model :param layer_name_to_record: map between caffe layer and information record :param top_to_layers: map between caffe blob name to layers which outputs it (including inplace) :param mean_diff_allowed: mean difference allowed between caffe blob and mxnet blob :param max_diff_allowed: max difference allowed between caffe blob and mxnet blob	[ "Compare", "layer", "by", "layer", "of", "a", "caffe", "network", "with", "mxnet", "network", ":", "param", "caffe_net", ":", "loaded", "caffe", "network", ":", "param", "arg_params", ":", "arguments", ":", "param", "aux_params", ":", "auxiliary", "parameters", ":", "param", "exe", ":", "mxnet", "model", ":", "param", "layer_name_to_record", ":", "map", "between", "caffe", "layer", "and", "information", "record", ":", "param", "top_to_layers", ":", "map", "between", "caffe", "blob", "name", "to", "layers", "which", "outputs", "it", "(", "including", "inplace", ")", ":", "param", "mean_diff_allowed", ":", "mean", "difference", "allowed", "between", "caffe", "blob", "and", "mxnet", "blob", ":", "param", "max_diff_allowed", ":", "max", "difference", "allowed", "between", "caffe", "blob", "and", "mxnet", "blob" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/compare_layers.py#L176-L335	train	Compare layers by layer of a caffe network with mxnet model	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(0b11100 + 0o123) + '\063' + '\060' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4659 - 4548) + '\065' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\060' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b100001 + 0o17) + chr(1446 - 1395), 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\x33' + chr(49) + '\x30', 56069 - 56061), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b110111) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(4379 - 4268) + chr(0b110001) + chr(0b110101 + 0o0) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(939 - 891) + chr(0b1101111) + chr(53) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(1494 - 1443) + chr(0b110110) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(681 - 632) + chr(1267 - 1218) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1601 - 1553) + chr(7988 - 7877) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1569 - 1519) + chr(48) + chr(2412 - 2357), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b101011 + 0o10) + chr(0b111 + 0o60) + chr(48), 56522 - 56514), ehT0Px3KOsy9(chr(1898 - 1850) + chr(0b1101111) + chr(0b11010 + 0o30) + '\063' + '\x31', 0o10), ehT0Px3KOsy9(chr(285 - 237) + chr(0b1101111) + chr(0b101001 + 0o10) + '\x34' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(48) + chr(623 - 573), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(53) + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(2676 - 2621) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(8489 - 8378) + '\063' + chr(0b1101 + 0o47) + chr(117 - 65), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(908 - 859), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100011 + 0o16) + '\x36' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\063' + chr(1709 - 1655), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + '\061' + chr(48) + chr(599 - 550), 64544 - 64536), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\067' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\067' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101110 + 0o4) + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2201 - 2152) + '\x34' + chr(2208 - 2156), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(497 - 447) + '\x36' + chr(55), 47984 - 47976), ehT0Px3KOsy9(chr(983 - 935) + chr(0b111010 + 0o65) + chr(0b110011) + chr(1501 - 1452) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011 + 0o0) + chr(461 - 407) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(0b11000 + 0o33) + '\066', 17941 - 17933), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b110010) + chr(0b110100) + '\065', 355 - 347), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\062' + chr(48) + chr(0b111 + 0o54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110101) + chr(2163 - 2115), 8), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + chr(1580 - 1531) + chr(0b10000 + 0o43), 62557 - 62549), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\063' + chr(0b101001 + 0o11), 53498 - 53490), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b100 + 0o55) + chr(0b110111) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o32), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(520 - 472) + chr(0b1101111) + chr(53) + chr(0b101010 + 0o6), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xed'), '\144' + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(3297 - 3196))(chr(2850 - 2733) + '\164' + '\146' + chr(1186 - 1141) + chr(2649 - 2593)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def jPJQbQxWXkEQ(_z_0cKMCn223, GroVdzCONmWS, p9GVyAqRTTRh, fuwbpiKmfMe7, Dv9Yk_oCi25B, AmdiEWkVfRV3, eXjS5TgxLd51, OlTc6h9PGx5s): (_7u55U49WwX2,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1H'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(3698 - 3598) + '\x65')(chr(0b1010111 + 0o36) + chr(116) + chr(102) + chr(0b10100 + 0o31) + '\070')),) LB1LfEsc5p4o = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\r>\xf3\xf2\x01\\\x1d\x8bn"\xfc\xc9\xa3Y\xb6\x11\x17\\\xc4RC\xa4}\x81\x07\x8aD\xcc\xf9\xca \'\x95\xfeH+!M?\xfd\x1cu\xbe\xe8\x1d\x13\x18\xccr3\xfa'), '\x64' + chr(0b1100101) + '\x63' + chr(0b100010 + 0o115) + '\x64' + chr(9621 - 9520))('\x75' + chr(11982 - 11866) + chr(102) + chr(45) + chr(0b1000 + 0o60)) jPJQbQxWXkEQ.rf7IasSd4ZTz = ehT0Px3KOsy9(chr(594 - 546) + chr(2822 - 2711) + chr(618 - 569), 0o10) def wgFxX9JccSNR(ZSNfmMtgTDFF, zMi_YZF99So2, XHv_il3kDL7t, kN_jy1R5s0hJ, eZAHdsyfj3NT, JrgNB8sdVZoc): A3JtwFGKVTf0 = WqUC3KWvYVup.abs(zMi_YZF99So2 - ZSNfmMtgTDFF) lLbCj_Qe3ChQ = A3JtwFGKVTf0.aJhItC_Vawlw() DPP2N2LYiKKl = A3JtwFGKVTf0.tsdjvlgh9gDP() xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x1a\r\xbb\xbd^\x0f\x1a\x9c"X\xec'), '\144' + '\145' + chr(99) + chr(0b1101111) + '\144' + '\145')('\x75' + '\164' + '\146' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(LB1LfEsc5p4o, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x197\xac\x80\\;\x1e\xa6>g\xed'), chr(0b100010 + 0o102) + chr(5588 - 5487) + '\x63' + chr(498 - 387) + chr(0b1100100) + '\x65')('\165' + chr(0b1100000 + 0o24) + chr(102) + '\055' + chr(0b111000)))(XHv_il3kDL7t, kN_jy1R5s0hJ, eZAHdsyfj3NT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x19k\xf6\xae'), chr(9244 - 9144) + chr(101) + chr(581 - 482) + chr(111) + chr(0b11000 + 0o114) + '\145')(chr(0b10100 + 0o141) + chr(5602 - 5486) + chr(0b1001101 + 0o31) + chr(1386 - 1341) + chr(0b111000)) % lLbCj_Qe3ChQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x19k\xf6\xae'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b1011001 + 0o13) + '\145')('\165' + chr(0b1110100) + '\146' + '\055' + chr(56)) % DPP2N2LYiKKl, JrgNB8sdVZoc)) assert lLbCj_Qe3ChQ < eXjS5TgxLd51 assert DPP2N2LYiKKl < OlTc6h9PGx5s def LBOvOLqqOzcp(wgamNHppspXj): xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b"\xa7H'\xb6\xaf"), '\x64' + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + chr(7391 - 7290))(chr(117) + '\x74' + '\146' + chr(0b1000 + 0o45) + chr(0b11110 + 0o32)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3_\xa0\xadN\x1bD\x98)"\xeb\x99\xe0\x00\xf0\x01O\x0f\xc4F\x17\xbe5\xc0\n\xcfD\x92\xb9'), '\144' + '\145' + chr(0b1011000 + 0o13) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + '\164' + chr(0b10010 + 0o124) + '\055' + '\070'), xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(0b1001 + 0o133) + chr(0b1010100 + 0o21) + '\x63' + '\x6f' + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(0b1100110) + chr(0b0 + 0o55) + chr(2881 - 2825))), xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4@\x14\xae\xb1X?o\x9b\x1br\xf1'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(5379 - 5279) + '\x65')('\165' + chr(6303 - 6187) + '\x66' + '\055' + chr(0b101 + 0o63)))) tJnngXKmP4Rz = _7u55U49WwX2.sub(xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\x00j\x9e'), chr(100) + '\x65' + '\143' + '\x6f' + chr(0b1010100 + 0o20) + '\145')(chr(0b1011000 + 0o35) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(1582 - 1526)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(0b110 + 0o136) + chr(101) + '\143' + chr(0b1010 + 0o145) + chr(0b1100100) + chr(8753 - 8652))('\x75' + '\x74' + chr(0b1000001 + 0o45) + chr(0b101 + 0o50) + chr(56)), wgamNHppspXj.AIvJRzLdDfgF) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1000011 + 0o54) + chr(0b1100100) + '\x65')(chr(13602 - 13485) + chr(0b1110100) + chr(102) + chr(1257 - 1212) + chr(858 - 802))) in xafqLlk3kkUe(_z_0cKMCn223, xafqLlk3kkUe(SXOLrMavuUCe(b"\xadh'\x89\x92\t\x1fK\x82+0\xf0"), chr(0b1100100) + '\145' + chr(99) + chr(0b11010 + 0o125) + '\144' + chr(0b1100101))(chr(1668 - 1551) + chr(116) + '\x66' + chr(0b10101 + 0o30) + '\x38')) and xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4@\x14\xae\xb1X?o\x9b\x1br\xf1'), '\x64' + chr(8158 - 8057) + chr(0b1100011) + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(2032 - 1976))) in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x80B+\xb5\xa7Q\x1dY\x9f!l'), '\x64' + '\145' + chr(4383 - 4284) + '\x6f' + chr(0b1 + 0o143) + chr(101))(chr(117) + chr(0b1110100) + chr(102) + '\055' + chr(3132 - 3076)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8aC+\xa6\xbam\x1aB\x92;a\xf3'), '\x64' + chr(0b100111 + 0o76) + chr(99) + chr(111) + chr(659 - 559) + '\x65')(chr(4887 - 4770) + chr(0b110110 + 0o76) + chr(1808 - 1706) + chr(222 - 177) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x87H&\xac\xa6K\x07A\x83:k\xe8\x96'), '\x64' + chr(0b1100101) + '\143' + '\x6f' + chr(7132 - 7032) + chr(0b1100101))(chr(117) + chr(116) + '\146' + '\x2d' + chr(56))]: gML5RKUXqwbX = c2A0yzQpDQB3(_z_0cKMCn223.nEbJZ4wfte2w[wgamNHppspXj.AIvJRzLdDfgF]) > ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8) G9Y6Pubr71S2 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8P\x1a\xb4\xadT\x0fE\x82'), chr(0b10111 + 0o115) + chr(0b1100101) + chr(7620 - 7521) + '\x6f' + chr(0b1100100) + chr(0b101101 + 0o70))(chr(117) + chr(0b110100 + 0o100) + '\146' + '\x2d' + chr(0b111000)).V4roHaS3Ppej(tJnngXKmP4Rz) CROQlLIBt4xt = GroVdzCONmWS[G9Y6Pubr71S2].asnumpy() if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4@\x14\xae\xb1X?o\x9b\x1br\xf1'), '\x64' + chr(0b1001010 + 0o33) + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(117) + chr(3218 - 3102) + chr(310 - 208) + chr(45) + chr(0b100101 + 0o23))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x80B+\xb5\xa7Q\x1dY\x9f!l'), chr(0b1100100) + chr(0b101100 + 0o71) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(11900 - 11784) + chr(4280 - 4178) + '\x2d' + '\x38') and xafqLlk3kkUe(jPJQbQxWXkEQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1Kr\x8a\xa9N;I\xc2\x14V\xfd'), chr(100) + chr(101) + chr(99) + chr(0b101111 + 0o100) + chr(9186 - 9086) + chr(101))(chr(0b1010101 + 0o40) + '\x74' + chr(102) + chr(0b101101) + '\070')): jPJQbQxWXkEQ.rf7IasSd4ZTz = ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000 + 0o0), ord("\x08")) if xafqLlk3kkUe(CROQlLIBt4xt, xafqLlk3kkUe(SXOLrMavuUCe(b'\xadL0\x9a\xaeq\x0fA\xa2>a\xe5'), chr(0b111100 + 0o50) + chr(0b110100 + 0o61) + chr(0b1100011) + '\x6f' + '\144' + '\x65')('\x75' + '\x74' + chr(6426 - 6324) + chr(0b100000 + 0o15) + chr(56)))[ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8)] == ehT0Px3KOsy9('\x30' + '\x6f' + chr(51), ord("\x08")) or xafqLlk3kkUe(CROQlLIBt4xt, xafqLlk3kkUe(SXOLrMavuUCe(b'\xadL0\x9a\xaeq\x0fA\xa2>a\xe5'), chr(7369 - 7269) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(7853 - 7753) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56)))[ehT0Px3KOsy9(chr(191 - 143) + '\x6f' + chr(0b110001), 8)] == ehT0Px3KOsy9('\x30' + chr(10642 - 10531) + chr(0b110001 + 0o3), ord("\x08")): CROQlLIBt4xt[:, [ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(8216 - 8105) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\062', 8)], :, :] = CROQlLIBt4xt[:, [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8)], :, :] JE2a34IQoZ36 = _z_0cKMCn223.params[wgamNHppspXj.name][ehT0Px3KOsy9(chr(999 - 951) + '\x6f' + '\060', 8)].ULnjp6D6efFH wgFxX9JccSNR(JE2a34IQoZ36, CROQlLIBt4xt, xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))('\165' + chr(6580 - 6464) + chr(0b1100110) + chr(0b101101) + '\x38')), G9Y6Pubr71S2, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4H,\xa4\xa0I'), chr(0b1100100) + chr(101) + chr(0b101101 + 0o66) + chr(0b1101111) + chr(0b1100100) + chr(0b10010 + 0o123))('\165' + chr(116) + chr(6993 - 6891) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + '\145' + chr(0b11000 + 0o113) + chr(111) + chr(0b1100100) + '\x65')(chr(117) + chr(116) + chr(102) + chr(0b101101) + chr(56))) if gML5RKUXqwbX: iqF_yUHvOHDY = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8P\x1a\xa1\xa1\\\x1b'), chr(720 - 620) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100 + 0o130) + chr(4280 - 4179))('\x75' + '\x74' + chr(0b1100110) + '\x2d' + chr(56)).V4roHaS3Ppej(tJnngXKmP4Rz) GGOh2FDqE6rc = GroVdzCONmWS[iqF_yUHvOHDY].asnumpy() ENWFmtg9oj_5 = _z_0cKMCn223.params[wgamNHppspXj.name][ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110001), 8)].ULnjp6D6efFH wgFxX9JccSNR(ENWFmtg9oj_5, GGOh2FDqE6rc, xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(0b1100100) + chr(6281 - 6180) + chr(99) + '\157' + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(1914 - 1858))), iqF_yUHvOHDY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1D$\xb0'), chr(6064 - 5964) + '\145' + '\x63' + chr(10842 - 10731) + chr(0b111110 + 0o46) + chr(101))(chr(117) + '\164' + '\146' + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(6506 - 6406) + chr(9109 - 9008) + chr(99) + chr(11059 - 10948) + '\144' + chr(0b10110 + 0o117))(chr(117) + chr(0b100110 + 0o116) + chr(102) + chr(0b100000 + 0o15) + chr(2070 - 2014))) elif xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(0b1010001 + 0o23) + chr(9898 - 9797) + chr(2760 - 2661) + '\157' + chr(0b1100100) + chr(101))(chr(117) + '\164' + '\146' + chr(0b100110 + 0o7) + chr(56))) in xafqLlk3kkUe(_z_0cKMCn223, xafqLlk3kkUe(SXOLrMavuUCe(b"\xadh'\x89\x92\t\x1fK\x82+0\xf0"), chr(3987 - 3887) + chr(0b101 + 0o140) + chr(4404 - 4305) + chr(0b1011011 + 0o24) + chr(100) + chr(101))('\165' + chr(0b1000001 + 0o63) + '\146' + '\055' + '\070')) and xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4@\x14\xae\xb1X?o\x9b\x1br\xf1'), chr(100) + chr(0b110110 + 0o57) + chr(0b1100011) + chr(0b101 + 0o152) + chr(0b1100100) + chr(0b1100010 + 0o3))('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x90N$\xaf\xad'), chr(0b1100100) + chr(0b1100101) + chr(0b111101 + 0o46) + '\x6f' + chr(0b1000010 + 0o42) + chr(0b1011100 + 0o11))(chr(13565 - 13448) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b11 + 0o65)): if xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0N$\xaf\xad'), chr(0b1100100) + '\145' + chr(0b11110 + 0o105) + chr(8051 - 7940) + '\x64' + '\x65')(chr(5002 - 4885) + '\164' + '\146' + chr(0b10 + 0o53) + chr(0b111000)) in tJnngXKmP4Rz: ylDdDyqaUhUY = tJnngXKmP4Rz.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0N$\xaf\xad'), chr(5453 - 5353) + chr(101) + '\143' + '\x6f' + '\x64' + '\x65')(chr(0b110001 + 0o104) + '\164' + chr(4412 - 4310) + chr(0b100101 + 0o10) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1C'), chr(100) + chr(0b10101 + 0o120) + chr(0b1100011) + '\157' + '\x64' + '\x65')(chr(117) + '\164' + chr(0b1001100 + 0o32) + '\055' + chr(0b101001 + 0o17))) elif xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0N'), chr(100) + chr(0b11 + 0o142) + '\x63' + chr(111) + chr(100) + chr(9115 - 9014))('\165' + chr(116) + chr(8810 - 8708) + chr(263 - 218) + '\x38') in tJnngXKmP4Rz: ylDdDyqaUhUY = tJnngXKmP4Rz.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0N'), '\x64' + chr(101) + chr(4881 - 4782) + chr(111) + chr(0b1100100) + '\x65')(chr(117) + chr(8263 - 8147) + chr(0b1100110) + chr(482 - 437) + chr(1834 - 1778)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1C'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(10559 - 10448) + '\144' + chr(5897 - 5796))('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(936 - 880))) else: assert ehT0Px3KOsy9(chr(83 - 35) + chr(5653 - 5542) + '\060', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x96C.\xad\xa7J\x06\r\x98/o\xe2\xd8\xfa\n\xecW\x0f\x12\x90@\x1e\xf0a\xdf\x15\xd8D\xd5\xa4\xdfmu\xc4\xef\r'), '\144' + '\145' + chr(0b11 + 0o140) + '\x6f' + '\x64' + chr(0b1001111 + 0o26))(chr(7136 - 7019) + '\x74' + chr(5416 - 5314) + '\055' + chr(0b10110 + 0o42)) SazOVEs79jDo = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8P\x1a\xa1\xadI\t'), '\144' + chr(0b10111 + 0o116) + chr(99) + chr(0b1101100 + 0o3) + chr(0b1100100) + chr(0b1100000 + 0o5))(chr(0b1110101) + chr(0b100010 + 0o122) + '\x66' + chr(421 - 376) + '\070').V4roHaS3Ppej(ylDdDyqaUhUY) Kzf69I8F9U4c = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8P\x1a\xa4\xa9P\x05L'), chr(0b1100100) + '\x65' + chr(1560 - 1461) + '\157' + chr(100) + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b10001 + 0o34) + chr(56)).V4roHaS3Ppej(ylDdDyqaUhUY) CROQlLIBt4xt = GroVdzCONmWS[SazOVEs79jDo].asnumpy() JE2a34IQoZ36 = _z_0cKMCn223.params[wgamNHppspXj.name][ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 8)].ULnjp6D6efFH wgFxX9JccSNR(JE2a34IQoZ36, CROQlLIBt4xt, xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(2116 - 2016) + chr(0b1100101) + chr(4918 - 4819) + '\x6f' + chr(5669 - 5569) + '\x65')('\165' + chr(0b1100011 + 0o21) + chr(0b101011 + 0o73) + chr(0b10000 + 0o35) + chr(56))), SazOVEs79jDo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeB3\x9c\xa5X\tC'), chr(0b11011 + 0o111) + chr(101) + chr(0b1001100 + 0o27) + '\157' + '\144' + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b11110 + 0o106) + '\x65' + chr(0b1001101 + 0o26) + chr(0b1101011 + 0o4) + chr(0b1100100) + chr(5988 - 5887))(chr(0b1110011 + 0o2) + '\164' + '\x66' + '\055' + '\070')) GGOh2FDqE6rc = GroVdzCONmWS[Kzf69I8F9U4c].asnumpy() ENWFmtg9oj_5 = _z_0cKMCn223.params[wgamNHppspXj.name][ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8)].ULnjp6D6efFH wgFxX9JccSNR(ENWFmtg9oj_5, GGOh2FDqE6rc, xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(100) + chr(0b1100101) + chr(99) + chr(0b10110 + 0o131) + chr(0b1011111 + 0o5) + chr(0b11100 + 0o111))(chr(0b11 + 0o162) + '\x74' + chr(102) + chr(45) + chr(56))), Kzf69I8F9U4c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeB3\x9c\xbe\\\x1a'), chr(100) + chr(101) + chr(0b1000001 + 0o42) + '\157' + chr(995 - 895) + chr(3059 - 2958))(chr(6400 - 6283) + chr(116) + '\x66' + chr(282 - 237) + chr(170 - 114)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b11001 + 0o113) + '\x65' + '\143' + chr(111) + '\x64' + chr(9916 - 9815))(chr(0b1011111 + 0o26) + chr(5476 - 5360) + chr(7951 - 7849) + chr(0b10 + 0o53) + chr(0b111000))) elif xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(100) + chr(8166 - 8065) + '\143' + '\x6f' + chr(9844 - 9744) + '\145')(chr(7779 - 7662) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38')) in xafqLlk3kkUe(_z_0cKMCn223, xafqLlk3kkUe(SXOLrMavuUCe(b"\xadh'\x89\x92\t\x1fK\x82+0\xf0"), '\x64' + '\x65' + chr(5042 - 4943) + chr(8574 - 8463) + '\144' + chr(0b1001101 + 0o30))(chr(117) + chr(116) + chr(6584 - 6482) + '\x2d' + '\x38')) and xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4@\x14\xae\xb1X?o\x9b\x1br\xf1'), chr(100) + chr(101) + '\x63' + chr(1143 - 1032) + '\144' + chr(0b1000110 + 0o37))(chr(0b1110101) + '\x74' + '\146' + chr(0b101101 + 0o0) + chr(0b100111 + 0o21))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x81L1\xa0\xa0s\x07_\x9b'), chr(0b1100100) + '\x65' + '\x63' + chr(6327 - 6216) + chr(0b11101 + 0o107) + '\x65')('\165' + chr(0b1011 + 0o151) + chr(0b1010010 + 0o24) + '\x2d' + chr(0b111000)): JWiXRMb12GHP = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8P\x1a\xae\xa7K\x01C\x91\x11o\xe2\x99\xf7'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(1202 - 1102) + '\x65')('\x75' + '\x74' + '\x66' + '\x2d' + chr(0b111000)).V4roHaS3Ppej(tJnngXKmP4Rz) rh85H97CENf3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8P\x1a\xae\xa7K\x01C\x91\x11t\xe6\x8a'), chr(100) + chr(0b111100 + 0o51) + chr(0b1100011) + '\157' + '\x64' + chr(633 - 532))(chr(117) + '\x74' + chr(0b100011 + 0o103) + chr(0b1000 + 0o45) + '\x38').V4roHaS3Ppej(tJnngXKmP4Rz) FwLMaHSzZD3D = _z_0cKMCn223.params[wgamNHppspXj.name][ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50), 8)].ULnjp6D6efFH VRiq0r1f5Zzb = p9GVyAqRTTRh[JWiXRMb12GHP].asnumpy() dk2QiR1tYm9b = _z_0cKMCn223.params[wgamNHppspXj.name][ehT0Px3KOsy9(chr(0b110000) + chr(454 - 343) + '\x30', 8)].ULnjp6D6efFH / FwLMaHSzZD3D wgFxX9JccSNR(dk2QiR1tYm9b, VRiq0r1f5Zzb, xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), '\144' + chr(0b1100101) + chr(5949 - 5850) + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + '\x74' + chr(5464 - 5362) + chr(0b100001 + 0o14) + '\070')), JWiXRMb12GHP, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeH$\xad'), '\144' + chr(0b1100101) + chr(3666 - 3567) + chr(0b111 + 0o150) + chr(0b10100 + 0o120) + chr(0b1100101))(chr(0b1110101 + 0o0) + chr(0b1110100) + chr(102) + chr(0b10010 + 0o33) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(5132 - 5032) + chr(0b1100101) + chr(99) + chr(11244 - 11133) + '\144' + '\x65')(chr(117) + '\164' + chr(0b1010100 + 0o22) + chr(45) + chr(56))) Gv4be83Fzyzu = p9GVyAqRTTRh[rh85H97CENf3].asnumpy() RnfvCcPqAbNm = _z_0cKMCn223.params[wgamNHppspXj.name][ehT0Px3KOsy9(chr(48) + chr(1950 - 1839) + chr(841 - 792), 8)].ULnjp6D6efFH / FwLMaHSzZD3D wgFxX9JccSNR(RnfvCcPqAbNm, Gv4be83Fzyzu, xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + '\x65')(chr(0b1101111 + 0o6) + '\164' + chr(102) + chr(1136 - 1091) + '\070')), rh85H97CENf3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5L7'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')('\165' + chr(12269 - 12153) + chr(7836 - 7734) + chr(1122 - 1077) + chr(0b1111 + 0o51)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6U5\xa6\xabIH\x1c\x93c2\xb3\xd8\xfa\r\xe3O\r\x19\xc4M\x04\xfba\xcd\x15\x8a\x07\xc2\xae\x9ep6\xc0\xf3\x1b'), chr(8923 - 8823) + '\x65' + chr(2457 - 2358) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b11001 + 0o134) + chr(0b1110100) + '\146' + chr(1767 - 1722) + chr(0b111000))) elif xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4@\x14\xae\xb1X?o\x9b\x1br\xf1'), chr(0b1010101 + 0o17) + chr(3449 - 3348) + chr(111 - 12) + '\x6f' + '\x64' + '\x65')(chr(117) + chr(11914 - 11798) + chr(0b1000010 + 0o44) + chr(0b101101) + chr(0b111000))) in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x8aC5\xb6\xbc'), '\144' + '\x65' + chr(0b1100011) + '\157' + '\x64' + chr(2622 - 2521))(chr(117) + '\x74' + '\x66' + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x93B\xaf\xa1S\x0f'), chr(100) + chr(6308 - 6207) + chr(0b110010 + 0o61) + chr(0b1111 + 0o140) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(795 - 750) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x91H\t\x96'), '\x64' + '\x65' + chr(1854 - 1755) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(4080 - 3964) + chr(0b1100110) + chr(0b101101) + chr(0b1100 + 0o54)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x86A1\xb4\xa1N\r'), chr(0b1100100) + chr(4299 - 4198) + '\x63' + chr(0b1101001 + 0o6) + chr(0b101001 + 0o73) + '\x65')(chr(5035 - 4918) + '\164' + chr(102) + chr(0b1000 + 0o45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x90B#\xb7\xa5\\\x10'), chr(100) + '\x65' + chr(3419 - 3320) + '\x6f' + chr(0b1011111 + 0o5) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(0b101101) + chr(1237 - 1181)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\x7f\x0b'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(5468 - 5357) + '\x64' + chr(0b100110 + 0o77))(chr(5301 - 5184) + chr(116) + chr(102) + chr(1764 - 1719) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x80B+\xa0\xa9I'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(0b10111 + 0o115) + '\x65')(chr(117) + chr(0b1011 + 0o151) + chr(0b1100110) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x87_\xb3\xa7H\x1c'), chr(0b1100100) + chr(0b11110 + 0o107) + '\x63' + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1000100 + 0o60) + '\x66' + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x80_\xb3'), chr(0b110111 + 0o55) + chr(1881 - 1780) + '\x63' + chr(11143 - 11032) + chr(3967 - 3867) + chr(101))('\165' + chr(0b1110100) + chr(0b11011 + 0o113) + chr(0b10010 + 0o33) + chr(0b100001 + 0o27))]: pass else: xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xadi\x00\xad\x86\x7f\tO\xb0\x00I\xea'), chr(100) + '\145' + chr(0b110 + 0o135) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + '\164' + chr(0b1001010 + 0o34) + chr(45) + chr(0b101101 + 0o13)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8dBe\xab\xa9S\x0cA\x9f e\xa7\x9e\xf6\x17\xa2M\x0b\x05\x81[Q\xbb2\x99\x15\xccD\xc3\xb3\x80{6\x80\xf0D+)\x11j\xb6A!\xe3\xbfXHD\x91 m\xf5\x9d\xb9\x0c\xf6\x1e'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1010011 + 0o34) + chr(0b1100100) + chr(101))(chr(0b101011 + 0o112) + '\x74' + '\146' + chr(0b101001 + 0o4) + chr(0b111000)), xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82d3\x89\x9aG$I\xb2(e\xc1'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b101110 + 0o101) + chr(0b1100100) + chr(2015 - 1914))(chr(0b1101001 + 0o14) + chr(0b1100000 + 0o24) + '\146' + chr(0b101101) + chr(2871 - 2815))), xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4@\x14\xae\xb1X?o\x9b\x1br\xf1'), chr(100) + '\145' + chr(99) + chr(0b1101000 + 0o7) + chr(0b1001001 + 0o33) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(884 - 782) + '\x2d' + '\x38'))) return def XiwTuB7k9lW2(sL97iQRPWUIC): xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b"\xa7H'\xb6\xaf"), '\144' + chr(4090 - 3989) + chr(5665 - 5566) + chr(111) + chr(0b11 + 0o141) + '\145')(chr(0b1110011 + 0o2) + chr(0b1110100) + chr(102) + chr(0b1001 + 0o44) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3_*\xa0\xadN\x1bD\x98)"\xe5\x94\xf6\x07\xa2\x04\x19'), '\144' + chr(0b11100 + 0o111) + chr(1968 - 1869) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b11011 + 0o131) + chr(0b100110 + 0o100) + chr(739 - 694) + chr(0b111000)), sL97iQRPWUIC) if sL97iQRPWUIC not in AmdiEWkVfRV3: return ZSNfmMtgTDFF = _z_0cKMCn223.blobs[sL97iQRPWUIC].ULnjp6D6efFH if sL97iQRPWUIC == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7L1\xa2'), chr(0b1100100) + chr(0b1100000 + 0o5) + chr(99) + chr(0b1101111) + chr(0b111100 + 0o50) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000)): if xafqLlk3kkUe(ZSNfmMtgTDFF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xadL0\x9a\xaeq\x0fA\xa2>a\xe5'), '\x64' + chr(1262 - 1161) + chr(0b101000 + 0o73) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38'))[ehT0Px3KOsy9(chr(2232 - 2184) + '\x6f' + chr(0b110001), 8)] == ehT0Px3KOsy9(chr(2291 - 2243) + chr(111) + chr(51), 8) or xafqLlk3kkUe(ZSNfmMtgTDFF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xadL0\x9a\xaeq\x0fA\xa2>a\xe5'), chr(1051 - 951) + chr(0b1100101) + '\143' + chr(2944 - 2833) + chr(0b1100100) + chr(602 - 501))(chr(0b1100011 + 0o22) + chr(116) + '\x66' + chr(45) + '\070'))[ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(2974 - 2863) + chr(0b110001), 8)] == ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064', 8): ZSNfmMtgTDFF[:, [ehT0Px3KOsy9(chr(48) + chr(4255 - 4144) + chr(1376 - 1328), 8), ehT0Px3KOsy9(chr(1866 - 1818) + chr(0b1001010 + 0o45) + chr(50), 8)], :, :] = ZSNfmMtgTDFF[:, [ehT0Px3KOsy9('\060' + '\157' + chr(2104 - 2054), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110000), 8)], :, :] kN_jy1R5s0hJ = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7L1\xa2'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))('\x75' + chr(116) + '\146' + chr(0b101011 + 0o2) + chr(0b111000)) else: N29WLZN_QCcU = AmdiEWkVfRV3[sL97iQRPWUIC][-ehT0Px3KOsy9(chr(586 - 538) + chr(818 - 707) + chr(49), 8)] mJVLZj9GxXkb = _7u55U49WwX2.sub(xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\x00j\x9e'), chr(0b0 + 0o144) + chr(4936 - 4835) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(13527 - 13410) + '\164' + '\146' + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), '\144' + chr(101) + chr(99) + chr(0b1101111) + '\144' + '\x65')(chr(117) + '\x74' + chr(3737 - 3635) + chr(1835 - 1790) + chr(0b111000)), N29WLZN_QCcU) kN_jy1R5s0hJ = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8P\x1a\xac\xbdI\x18X\x82'), '\144' + chr(101) + chr(6144 - 6045) + '\157' + chr(100) + '\x65')(chr(13635 - 13518) + '\x74' + chr(102) + chr(1585 - 1540) + '\x38').V4roHaS3Ppej(mJVLZj9GxXkb) if xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0N$\xaf\xad'), '\x64' + chr(101) + chr(99) + chr(11680 - 11569) + chr(0b10110 + 0o116) + '\x65')(chr(0b1100011 + 0o22) + chr(3298 - 3182) + chr(0b1100110) + '\x2d' + chr(2123 - 2067)) in kN_jy1R5s0hJ: kN_jy1R5s0hJ = kN_jy1R5s0hJ.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0N$\xaf\xad'), chr(0b110011 + 0o61) + chr(101) + '\x63' + chr(219 - 108) + chr(0b11101 + 0o107) + '\x65')(chr(0b101011 + 0o112) + chr(7660 - 7544) + '\146' + '\x2d' + chr(2396 - 2340)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1C'), '\144' + chr(101) + chr(2576 - 2477) + chr(1991 - 1880) + '\144' + chr(101))(chr(1072 - 955) + '\x74' + chr(0b1010100 + 0o22) + chr(0b101100 + 0o1) + chr(0b1000 + 0o60))) elif xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0N'), chr(0b1001000 + 0o34) + '\145' + chr(4899 - 4800) + '\157' + chr(0b1100100) + chr(2196 - 2095))('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(0b11001 + 0o37)) in kN_jy1R5s0hJ: kN_jy1R5s0hJ = kN_jy1R5s0hJ.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0N'), chr(9692 - 9592) + chr(0b110 + 0o137) + chr(5215 - 5116) + '\x6f' + chr(703 - 603) + chr(101))('\x75' + '\164' + chr(0b1100110) + chr(1147 - 1102) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1C'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b110111 + 0o55) + '\x65')('\165' + '\x74' + '\146' + chr(0b101101 + 0o0) + chr(0b10100 + 0o44))) if kN_jy1R5s0hJ not in xafqLlk3kkUe(fuwbpiKmfMe7, xafqLlk3kkUe(SXOLrMavuUCe(b'\xacX1\xb3\xbdI7I\x9f-v'), chr(0b1010000 + 0o24) + '\x65' + chr(6180 - 6081) + chr(0b10000 + 0o137) + chr(6137 - 6037) + chr(0b100110 + 0o77))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56))): xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b"\x86x!\x93\xa9I'~\xc79z\xb7"), '\144' + '\x65' + chr(5811 - 5712) + '\157' + chr(0b11101 + 0o107) + chr(548 - 447))(chr(117) + chr(0b1011 + 0o151) + chr(5687 - 5585) + chr(1720 - 1675) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeU+\xa6\xbc\x1d\nA\x99,"\xa2\x8b\xb9\x0c\xf1\x01\x07\x15\x97Z\x18\xf0&\x95Z\xde\r\xda\xaf\xd0jy\x85\xe6\x10\x7f?\x17a\xe3Y-\xa6\xe8^\x07@\x86/p\xe2\xd8\xed\n\xedMDR'), chr(7333 - 7233) + '\145' + '\x63' + chr(0b1101111) + chr(1832 - 1732) + chr(101))(chr(2663 - 2546) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000)), kN_jy1R5s0hJ) return zMi_YZF99So2 = fuwbpiKmfMe7.output_dict[kN_jy1R5s0hJ].asnumpy() wgFxX9JccSNR(ZSNfmMtgTDFF, zMi_YZF99So2, sL97iQRPWUIC, kN_jy1R5s0hJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xacX1\xb3\xbdI'), chr(0b10100 + 0o120) + '\145' + chr(0b1100011) + '\x6f' + '\144' + '\x65')(chr(0b1101110 + 0o7) + chr(116) + chr(0b1010 + 0o134) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(10952 - 10841) + chr(0b1100100) + chr(101))(chr(12653 - 12536) + chr(0b101010 + 0o112) + chr(0b1010101 + 0o21) + '\x2d' + chr(0b100111 + 0o21))) return xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x1a\r\xbb\xbd^\x0f\x1a\x9c"X\xec'), chr(3209 - 3109) + chr(7282 - 7181) + chr(6561 - 6462) + chr(4694 - 4583) + chr(100) + chr(0b1110 + 0o127))(chr(0b1110101) + chr(13454 - 13338) + '\x66' + chr(45) + chr(565 - 509)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\x07o\xe9\xe2\x17Hc\x93:u\xe8\x8a\xf2E\xd2@\x18\x1d\x89L\x05\xfb3\xcaZ'), '\x64' + chr(0b1010001 + 0o24) + chr(99) + chr(0b100 + 0o153) + chr(0b1100100) + chr(2931 - 2830))('\x75' + chr(116) + chr(102) + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xafG0\xb0\xbc'), chr(0b1100100) + '\x65' + chr(9057 - 8958) + chr(164 - 53) + chr(0b1100100) + '\145')('\x75' + chr(0b1101011 + 0o11) + chr(6162 - 6060) + chr(45) + chr(0b101011 + 0o15)))(ehT0Px3KOsy9('\060' + '\x6f' + chr(556 - 506) + chr(49) + chr(1897 - 1845), 43884 - 43876), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), chr(405 - 305) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + '\145')(chr(0b1110 + 0o147) + '\164' + '\146' + chr(0b101101) + chr(56)))) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x1a\r\xbb\xbd^\x0f\x1a\x9c"X\xec'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + chr(5789 - 5673) + '\146' + '\x2d' + chr(56)))(xafqLlk3kkUe(LB1LfEsc5p4o, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x197\xac\x80\\;\x1e\xa6>g\xed'), chr(0b1010010 + 0o22) + '\145' + chr(0b1100011) + chr(11790 - 11679) + chr(2091 - 1991) + chr(0b110101 + 0o60))(chr(0b1000111 + 0o56) + chr(1477 - 1361) + '\x66' + chr(406 - 361) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x80l\x03\x85\x8d'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1001010 + 0o32) + '\x65')(chr(810 - 693) + '\164' + '\x66' + '\x2d' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eu\x0b\x86\x9c'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(9923 - 9823) + chr(0b101110 + 0o67))(chr(0b101001 + 0o114) + '\x74' + chr(3707 - 3605) + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x97T5\xa6'), chr(100) + '\x65' + chr(2531 - 2432) + chr(0b1101111) + chr(7778 - 7678) + chr(0b111 + 0o136))(chr(0b1110101) + chr(0b10111 + 0o135) + '\x66' + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eH$\xad\xe0Y\x01K\x90g'), '\144' + chr(0b1100101 + 0o0) + '\143' + chr(0b111111 + 0o60) + chr(0b111010 + 0o52) + '\145')(chr(0b1111 + 0o146) + chr(0b1110100) + chr(0b110 + 0o140) + chr(45) + chr(139 - 83)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eL=\xeb\xacT\x0eK\xdf'), chr(100) + '\x65' + '\x63' + chr(0b110100 + 0o73) + chr(0b1100100) + '\145')(chr(9542 - 9425) + chr(0b1110100) + '\x66' + chr(234 - 189) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8dB1\xa6'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(2653 - 2552))(chr(0b101011 + 0o112) + chr(12784 - 12668) + chr(0b1100110) + chr(0b101101) + '\x38'))) sEhGbGoqq7gU = Dv9Yk_oCi25B.keys()[ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8)] xUuQ0Ot8mdZw(Dv9Yk_oCi25B[sEhGbGoqq7gU], LBOvOLqqOzcp) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x1a\r\xbb\xbd^\x0f\x1a\x9c"X\xec'), chr(0b110000 + 0o64) + chr(101) + '\x63' + chr(111) + chr(0b1100001 + 0o3) + '\145')(chr(117) + chr(373 - 257) + chr(0b1011111 + 0o7) + chr(715 - 670) + '\x38'))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\x07o\xe9\xe2\x17Hc\x93:u\xe8\x8a\xf2E\xcdT\x1e\x0c\x91]\x02\xbe'), '\144' + chr(0b1000000 + 0o45) + chr(8784 - 8685) + chr(111) + chr(0b1010001 + 0o23) + chr(0b1011000 + 0o15))('\x75' + chr(1192 - 1076) + '\146' + chr(0b101011 + 0o2) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xafG0\xb0\xbc'), chr(0b10001 + 0o123) + chr(0b1100011 + 0o2) + '\143' + chr(4582 - 4471) + chr(3711 - 3611) + chr(101))('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(56)))(ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b110001) + chr(0b110 + 0o56), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), '\144' + '\x65' + '\x63' + chr(111) + chr(0b111 + 0o135) + '\145')('\x75' + chr(0b11100 + 0o130) + chr(0b1100010 + 0o4) + chr(0b101101) + chr(56)))) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x1a\r\xbb\xbd^\x0f\x1a\x9c"X\xec'), chr(0b1100100) + chr(0b111001 + 0o54) + chr(99) + chr(3950 - 3839) + '\x64' + chr(101))(chr(8771 - 8654) + chr(0b1110100) + '\146' + '\x2d' + chr(0b110 + 0o62)))(xafqLlk3kkUe(LB1LfEsc5p4o, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x197\xac\x80\\;\x1e\xa6>g\xed'), chr(0b1001000 + 0o34) + '\x65' + '\x63' + chr(5918 - 5807) + chr(100) + chr(101))('\165' + '\x74' + chr(0b1100110) + chr(424 - 379) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x80l\x03\x85\x8d'), chr(5325 - 5225) + chr(0b10011 + 0o122) + chr(0b1001001 + 0o32) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1000010 + 0o63) + chr(3972 - 3856) + '\146' + '\055' + chr(165 - 109)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eu\x0b\x86\x9c'), chr(8486 - 8386) + chr(0b1010001 + 0o24) + chr(99) + chr(8101 - 7990) + chr(3892 - 3792) + chr(0b1100101))('\165' + '\x74' + chr(0b1011011 + 0o13) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x97T5\xa6'), chr(0b1100100) + chr(8369 - 8268) + chr(0b1010011 + 0o20) + chr(11559 - 11448) + chr(100) + chr(0b1001010 + 0o33))(chr(5055 - 4938) + '\x74' + chr(6978 - 6876) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eH$\xad\xe0Y\x01K\x90g'), chr(100) + chr(0b1000011 + 0o42) + '\143' + chr(2979 - 2868) + chr(0b101111 + 0o65) + '\145')(chr(1399 - 1282) + chr(116) + '\x66' + '\x2d' + chr(2840 - 2784)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eL=\xeb\xacT\x0eK\xdf'), '\x64' + chr(0b1100101) + chr(0b1001111 + 0o24) + '\x6f' + '\x64' + chr(5939 - 5838))(chr(862 - 745) + '\164' + chr(102) + chr(446 - 401) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8dB1\xa6'), chr(0b111101 + 0o47) + '\145' + '\x63' + '\157' + '\x64' + chr(5052 - 4951))(chr(7768 - 7651) + chr(0b100000 + 0o124) + chr(102) + chr(45) + chr(0b101000 + 0o20)))) for sL97iQRPWUIC in xafqLlk3kkUe(_z_0cKMCn223.blobs, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8H<\xb0'), chr(0b101101 + 0o67) + chr(0b1001111 + 0o26) + chr(2798 - 2699) + '\x6f' + '\x64' + chr(0b10011 + 0o122))('\x75' + chr(116) + chr(102) + '\x2d' + chr(556 - 500)))(): XiwTuB7k9lW2(sL97iQRPWUIC) return
apache/incubator-mxnet	tools/caffe_converter/compare_layers.py	main	def main(): """Entrypoint for compare_layers""" parser = argparse.ArgumentParser( description='Tool for testing caffe to mxnet conversion layer by layer') parser.add_argument('--image_url', type=str, default='https://github.com/dmlc/web-data/raw/master/mxnet/doc/'\ 'tutorials/python/predict_image/cat.jpg', help='input image to test inference, can be either file path or url') parser.add_argument('--caffe_prototxt_path', type=str, default='./model.prototxt', help='path to caffe prototxt') parser.add_argument('--caffe_model_path', type=str, default='./model.caffemodel', help='path to caffe weights') parser.add_argument('--caffe_mean', type=str, default='./model_mean.binaryproto', help='path to caffe mean file') parser.add_argument('--mean_diff_allowed', type=int, default=1e-03, help='mean difference allowed between caffe blob and mxnet blob') parser.add_argument('--max_diff_allowed', type=int, default=1e-01, help='max difference allowed between caffe blob and mxnet blob') parser.add_argument('--gpu', type=int, default=-1, help='the gpu id used for predict') args = parser.parse_args() convert_and_compare_caffe_to_mxnet(args.image_url, args.gpu, args.caffe_prototxt_path, args.caffe_model_path, args.caffe_mean, args.mean_diff_allowed, args.max_diff_allowed)	python	def main(): """Entrypoint for compare_layers""" parser = argparse.ArgumentParser( description='Tool for testing caffe to mxnet conversion layer by layer') parser.add_argument('--image_url', type=str, default='https://github.com/dmlc/web-data/raw/master/mxnet/doc/'\ 'tutorials/python/predict_image/cat.jpg', help='input image to test inference, can be either file path or url') parser.add_argument('--caffe_prototxt_path', type=str, default='./model.prototxt', help='path to caffe prototxt') parser.add_argument('--caffe_model_path', type=str, default='./model.caffemodel', help='path to caffe weights') parser.add_argument('--caffe_mean', type=str, default='./model_mean.binaryproto', help='path to caffe mean file') parser.add_argument('--mean_diff_allowed', type=int, default=1e-03, help='mean difference allowed between caffe blob and mxnet blob') parser.add_argument('--max_diff_allowed', type=int, default=1e-01, help='max difference allowed between caffe blob and mxnet blob') parser.add_argument('--gpu', type=int, default=-1, help='the gpu id used for predict') args = parser.parse_args() convert_and_compare_caffe_to_mxnet(args.image_url, args.gpu, args.caffe_prototxt_path, args.caffe_model_path, args.caffe_mean, args.mean_diff_allowed, args.max_diff_allowed)	[ "def", "main", "(", ")", ":", "parser", "=", "argparse", ".", "ArgumentParser", "(", "description", "=", "'Tool for testing caffe to mxnet conversion layer by layer'", ")", "parser", ".", "add_argument", "(", "'--image_url'", ",", "type", "=", "str", ",", "default", "=", "'https://github.com/dmlc/web-data/raw/master/mxnet/doc/'", "'tutorials/python/predict_image/cat.jpg'", ",", "help", "=", "'input image to test inference, can be either file path or url'", ")", "parser", ".", "add_argument", "(", "'--caffe_prototxt_path'", ",", "type", "=", "str", ",", "default", "=", "'./model.prototxt'", ",", "help", "=", "'path to caffe prototxt'", ")", "parser", ".", "add_argument", "(", "'--caffe_model_path'", ",", "type", "=", "str", ",", "default", "=", "'./model.caffemodel'", ",", "help", "=", "'path to caffe weights'", ")", "parser", ".", "add_argument", "(", "'--caffe_mean'", ",", "type", "=", "str", ",", "default", "=", "'./model_mean.binaryproto'", ",", "help", "=", "'path to caffe mean file'", ")", "parser", ".", "add_argument", "(", "'--mean_diff_allowed'", ",", "type", "=", "int", ",", "default", "=", "1e-03", ",", "help", "=", "'mean difference allowed between caffe blob and mxnet blob'", ")", "parser", ".", "add_argument", "(", "'--max_diff_allowed'", ",", "type", "=", "int", ",", "default", "=", "1e-01", ",", "help", "=", "'max difference allowed between caffe blob and mxnet blob'", ")", "parser", ".", "add_argument", "(", "'--gpu'", ",", "type", "=", "int", ",", "default", "=", "-", "1", ",", "help", "=", "'the gpu id used for predict'", ")", "args", "=", "parser", ".", "parse_args", "(", ")", "convert_and_compare_caffe_to_mxnet", "(", "args", ".", "image_url", ",", "args", ".", "gpu", ",", "args", ".", "caffe_prototxt_path", ",", "args", ".", "caffe_model_path", ",", "args", ".", "caffe_mean", ",", "args", ".", "mean_diff_allowed", ",", "args", ".", "max_diff_allowed", ")" ]	Entrypoint for compare_layers	[ "Entrypoint", "for", "compare_layers" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/compare_layers.py#L338-L364	train	Entrypoint for compare_layers	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(0b1001 + 0o47) + '\157' + chr(2012 - 1963) + chr(50) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(1511 - 1400) + chr(0b11100 + 0o25) + '\x30' + chr(1633 - 1583), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + '\061', 0o10), ehT0Px3KOsy9(chr(1632 - 1584) + '\x6f' + chr(0b10 + 0o57) + '\064' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(0b110001) + chr(48) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(2129 - 2081) + chr(0b1101111) + '\061' + chr(0b110010) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(0b110011) + '\x37' + chr(0b101001 + 0o11), 0b1000), ehT0Px3KOsy9(chr(722 - 674) + chr(0b1101111) + chr(0b110011) + chr(0b110001) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b110100) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + '\062' + chr(2158 - 2110) + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(252 - 199) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100011 + 0o20) + '\061' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1730 - 1682) + chr(364 - 253) + '\062' + '\x32' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(109 - 56) + '\x31', 18174 - 18166), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110011) + chr(158 - 104) + chr(0b10000 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110010) + chr(0b10110 + 0o35), 0o10), ehT0Px3KOsy9(chr(137 - 89) + '\157' + '\063' + chr(0b11111 + 0o26) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(7574 - 7463) + chr(0b100 + 0o56) + chr(50) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(5519 - 5408) + chr(49) + '\063' + chr(0b110110), 22085 - 22077), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\x34' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1110 + 0o141) + chr(1826 - 1776) + '\x33' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x30', 40986 - 40978), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o36), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o17) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + '\061' + chr(0b1100 + 0o47) + '\x36', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b100000 + 0o20) + chr(1157 - 1103), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(9423 - 9312) + '\062' + '\x36' + chr(1965 - 1910), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\065' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x33' + chr(0b100100 + 0o22) + '\066', 0b1000), ehT0Px3KOsy9(chr(1051 - 1003) + chr(11606 - 11495) + '\x32' + '\x32' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(3948 - 3837) + chr(0b110011) + chr(55) + chr(0b10 + 0o64), 5213 - 5205), ehT0Px3KOsy9('\060' + chr(111) + chr(1858 - 1807) + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x36' + chr(0b110110), 36429 - 36421), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b100111 + 0o12) + chr(878 - 825), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2366 - 2315) + '\067', 11920 - 11912), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(51) + chr(1275 - 1226) + '\066', 53069 - 53061), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(245 - 134) + chr(0b100011 + 0o16) + chr(0b1 + 0o62) + chr(1691 - 1642), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(256 - 205) + '\x31' + chr(942 - 892), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x34' + '\x36', 35783 - 35775)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + '\065' + chr(0b10101 + 0o33), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'y'), chr(0b1000 + 0o134) + chr(0b1100101) + chr(0b1000100 + 0o37) + chr(0b11 + 0o154) + chr(100) + chr(8291 - 8190))(chr(0b101 + 0o160) + '\x74' + chr(0b1100110) + chr(45) + chr(0b111 + 0o61)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def PGNrezus7XpS(): uvsdWIii6oeC = J3PV4AmS6TTH.ArgumentParser(description=xafqLlk3kkUe(SXOLrMavuUCe(b'\x03-^\re6\x95\xbb\x83\xf2\x0f\xbet\xff\xc7\x90s\x8f\xf08@\xf80qF~\xab\xcf\x07\x93\xe3\xde\xaf\xd9\xa3i\xab+\xb9\x8f8,\x11\r$)\x9f\xbb\x83\xe4\x13\xedl\xf7\xd0\x92!'), chr(0b1100100) + '\x65' + chr(99) + '\x6f' + chr(0b1001100 + 0o30) + chr(0b1100101))('\165' + chr(2605 - 2489) + chr(8955 - 8853) + '\x2d' + '\x38')) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'6&U>$"\x9d\xbc\xce\xe3\x04\xb9'), chr(0b11111 + 0o105) + '\x65' + chr(4818 - 4719) + '\x6f' + chr(961 - 861) + chr(1014 - 913))('\165' + chr(0b1110100) + chr(3409 - 3307) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'zoX\x0c$7\x9f\x96\xd6\xf4\x06'), chr(3422 - 3322) + '\x65' + chr(2565 - 2466) + chr(0b1101111) + '\x64' + '\145')('\165' + '\164' + '\146' + '\055' + '\070'), type=M8_cKLkHVB2V, default=xafqLlk3kkUe(SXOLrMavuUCe(b"?6E\x116j\xd5\xe6\xc4\xef\x1e\xa5u\xf4\x87\x94<\x81\xbe:K\xf1s^;\xa4\x9a\r\x97\xe3\x9f\xe3\xc4\xach\xe14\xab\x95#'CN((\x94\xac\xd7\xa9\x0e\xa2c\xb9\xdd\x82'\x83\xe37G\xf1cY'\xb2\xdf\x06\x98\xb8\x8e\xbe\xd3\xa9v\xad-\x95\x8f:#V\x04j3\x9b\xbd\x8d\xec\x1a\xaa"), chr(5931 - 5831) + chr(101) + chr(0b1011101 + 0o6) + '\157' + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b100101 + 0o10) + chr(0b111000)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'>,A\x141p\x93\xa4\xc2\xe1\x0f\xedt\xf9\x89\x836\x9f\xe5~O\xf3v`[;\xa8\xd4\x0c\xda\xb7\x9d\xad\xd8\xed}\xaby\xaf\x8f#T\x13e6\x93\xa5\xc6\xa6\x1a\xact\xfe\x89\x98!\xcc\xe4,J'), chr(8214 - 8114) + chr(212 - 111) + '\143' + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(12464 - 12348) + chr(4653 - 4551) + chr(958 - 913) + chr(2869 - 2813))) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'6&U>$"\x9d\xbc\xce\xe3\x04\xb9'), chr(100) + '\x65' + chr(0b1000101 + 0o36) + '\157' + '\144' + '\x65')('\165' + chr(0b1110100) + chr(10133 - 10031) + chr(369 - 324) + chr(0b110100 + 0o4)))(xafqLlk3kkUe(SXOLrMavuUCe(b'zoR\x00#6\x9f\x96\xd3\xf4\x05\xb9o\xe2\xd1\x83\x0c\x9c\xf0N'), chr(0b101010 + 0o72) + chr(0b1100100 + 0o1) + chr(99) + chr(0b1001011 + 0o44) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1000101 + 0o57) + chr(0b101001 + 0o75) + '\x2d' + chr(2582 - 2526)), type=M8_cKLkHVB2V, default=xafqLlk3kkUe(SXOLrMavuUCe(b'ym\\\x0e!5\x96\xe7\xd3\xf4\x05\xb9o\xe2\xd1\x83'), chr(0b1010001 + 0o23) + chr(2144 - 2043) + chr(99) + chr(111) + chr(100) + chr(0b100011 + 0o102))(chr(13439 - 13322) + chr(116) + chr(102) + '\x2d' + '\x38'), help=xafqLlk3kkUe(SXOLrMavuUCe(b"'#E\te$\x95\xe9\xc0\xe7\x0c\xabe\xb6\xd9\x85<\x98\xfe^\xe9"), chr(2023 - 1923) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1000111 + 0o35) + chr(101))('\x75' + chr(116) + chr(6737 - 6635) + chr(591 - 546) + '\070')) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'6&U>$"\x9d\xbc\xce\xe3\x04\xb9'), chr(0b1100100) + '\x65' + chr(0b10010 + 0o121) + chr(11200 - 11089) + chr(0b100 + 0o140) + '\x65')('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b110110 + 0o2)))(xafqLlk3kkUe(SXOLrMavuUCe(b"zoR\x00#6\x9f\x96\xce\xe9\x0e\xa8l\xc9\xd9\x96'\x84"), '\144' + '\145' + '\143' + chr(111) + '\144' + chr(101))(chr(0b1001100 + 0o51) + '\164' + chr(102) + chr(45) + chr(0b111000)), type=M8_cKLkHVB2V, default=xafqLlk3kkUe(SXOLrMavuUCe(b'ym\\\x0e!5\x96\xe7\xc0\xe7\x0c\xabe\xfb\xc6\x936\x80'), chr(100) + '\145' + chr(8211 - 8112) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b110110 + 0o76) + '\146' + chr(0b101100 + 0o1) + chr(318 - 262)), help=xafqLlk3kkUe(SXOLrMavuUCe(b"'#E\te$\x95\xe9\xc0\xe7\x0c\xabe\xb6\xde\x92:\x8b\xf9U"), chr(0b1100100) + '\145' + '\x63' + '\x6f' + '\x64' + chr(101))('\x75' + chr(0b1110100) + '\146' + '\x2d' + '\x38')) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'6&U>$"\x9d\xbc\xce\xe3\x04\xb9'), chr(0b1100100) + '\145' + '\143' + '\x6f' + chr(0b1100001 + 0o3) + '\145')(chr(0b1110101) + chr(0b10001 + 0o143) + chr(2826 - 2724) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'zoR\x00#6\x9f\x96\xce\xe3\x0b\xa3'), chr(100) + chr(4819 - 4718) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(0b110000 + 0o105) + '\164' + chr(0b1100110) + chr(648 - 603) + '\x38'), type=M8_cKLkHVB2V, default=xafqLlk3kkUe(SXOLrMavuUCe(b'ym\\\x0e!5\x96\x96\xce\xe3\x0b\xa3.\xf4\xc0\x992\x9e\xe8.T\xf2dj'), chr(100) + chr(101) + chr(99) + chr(0b1101111) + chr(0b101110 + 0o66) + chr(0b1100101))('\x75' + chr(116) + chr(0b101101 + 0o71) + chr(539 - 494) + chr(0b11001 + 0o37)), help=xafqLlk3kkUe(SXOLrMavuUCe(b"'#E\te$\x95\xe9\xc0\xe7\x0c\xabe\xb6\xc4\x922\x82\xb18O\xf1u"), '\x64' + '\145' + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(102) + '\x2d' + chr(0b111000))) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'6&U>$"\x9d\xbc\xce\xe3\x04\xb9'), chr(0b1100100) + chr(0b1010110 + 0o17) + chr(0b11000 + 0o113) + chr(111) + chr(0b111101 + 0o47) + chr(1806 - 1705))('\x75' + chr(0b100000 + 0o124) + chr(102) + chr(0b101100 + 0o1) + chr(2622 - 2566)))(xafqLlk3kkUe(SXOLrMavuUCe(b'zo\\\x04$>\xa5\xad\xca\xe0\x0c\x92a\xfa\xc5\x98$\x89\xf5'), chr(100) + '\145' + chr(0b1100000 + 0o3) + '\x6f' + chr(1600 - 1500) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(56)), type=ehT0Px3KOsy9, default=0.001, help=xafqLlk3kkUe(SXOLrMavuUCe(b":'P\x0fe4\x93\xaf\xc5\xe3\x18\xa8n\xf5\xcc\xd72\x80\xfd1Q\xf8t%K;\xb2\xc0\x0c\x93\xf9\xde\xaf\xd7\xaby\xaby\xa8\x8a8 \x11\x00+4\xda\xa4\xdb\xe8\x0f\xb9 \xf4\xc5\x981"), chr(100) + chr(0b1010110 + 0o17) + chr(99) + chr(111) + chr(1800 - 1700) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + chr(373 - 328) + chr(952 - 896))) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'6&U>$"\x9d\xbc\xce\xe3\x04\xb9'), chr(0b1100100) + chr(0b1010101 + 0o20) + chr(0b1011000 + 0o13) + chr(111) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(0b1001001 + 0o35) + chr(319 - 274) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'zo\\\x00=\x0f\x9e\xa0\xc5\xe05\xacl\xfa\xc6\x806\x88'), '\144' + chr(0b1010010 + 0o23) + '\143' + '\x6f' + chr(8558 - 8458) + '\x65')('\165' + chr(116) + chr(0b1100110) + chr(0b101101 + 0o0) + chr(0b111000)), type=ehT0Px3KOsy9, default=0.1, help=xafqLlk3kkUe(SXOLrMavuUCe(b':#IA!9\x9c\xaf\xc6\xf4\x0f\xa3c\xf3\x89\x96?\x80\xfe)C\xf90gL\xb1\xd2\x0c\x98\xb7\x9d\xad\xd0\xabz\xee;\xa6\x895bP\x0f!p\x97\xb1\xcd\xe3\x1e\xedb\xfa\xc6\x95'), chr(0b10110 + 0o116) + chr(6703 - 6602) + chr(0b1100011) + '\x6f' + chr(2825 - 2725) + chr(0b11110 + 0o107))(chr(0b110101 + 0o100) + chr(116) + chr(0b110101 + 0o61) + '\x2d' + '\070')) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'6&U>$"\x9d\xbc\xce\xe3\x04\xb9'), chr(100) + chr(0b1100101) + chr(0b11 + 0o140) + chr(11435 - 11324) + chr(9525 - 9425) + chr(0b1100101))(chr(4819 - 4702) + '\x74' + '\146' + chr(0b11111 + 0o16) + chr(0b11011 + 0o35)))(xafqLlk3kkUe(SXOLrMavuUCe(b'zoV\x110'), chr(100) + '\x65' + '\143' + chr(111) + chr(0b10011 + 0o121) + chr(677 - 576))('\x75' + '\164' + chr(102) + chr(45) + chr(3010 - 2954)), type=ehT0Px3KOsy9, default=-ehT0Px3KOsy9(chr(2030 - 1982) + '\157' + chr(1483 - 1434), 0o10), help=xafqLlk3kkUe(SXOLrMavuUCe(b'#TA" \x8f\xe9\xca\xe2J\xb8s\xf3\xcd\xd75\x83\xe3~V\xefua@=\xb2'), '\144' + '\145' + chr(0b1100011) + '\157' + '\144' + '\145')('\x75' + chr(0b1110100) + chr(9216 - 9114) + chr(0b100000 + 0o15) + chr(56))) kJDRfRhcZHjS = uvsdWIii6oeC.parse_args() _FVOI19wjZLt(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'>/P\x06 \x0f\x8f\xbb\xcf'), '\x64' + chr(6311 - 6210) + chr(0b10 + 0o141) + chr(11439 - 11328) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1001011 + 0o51) + '\146' + chr(769 - 724) + '\070')), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'02D'), chr(5276 - 5176) + '\x65' + chr(0b111001 + 0o52) + chr(0b101100 + 0o103) + '\144' + '\145')(chr(117) + chr(0b111010 + 0o72) + '\x66' + chr(45) + '\070')), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'4#W\x07 \x0f\x8a\xbb\xcc\xf2\x05\xb9x\xe2\xf6\x872\x98\xf9'), chr(100) + chr(0b1100101) + '\x63' + chr(0b100101 + 0o112) + '\144' + chr(101))(chr(117) + chr(11233 - 11117) + chr(102) + '\055' + '\x38')), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'4#W\x07 \x0f\x97\xa6\xc7\xe3\x06\x92p\xf7\xdd\x9f'), '\x64' + '\145' + chr(99) + chr(0b100011 + 0o114) + chr(5769 - 5669) + chr(101))(chr(0b1110101) + chr(116) + chr(0b10000 + 0o126) + chr(1534 - 1489) + '\x38')), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'4#W\x07 \x0f\x97\xac\xc2\xe8'), chr(100) + '\x65' + chr(3608 - 3509) + '\x6f' + chr(0b1001100 + 0o30) + chr(7015 - 6914))(chr(0b1001100 + 0o51) + '\x74' + '\x66' + chr(1380 - 1335) + chr(0b110 + 0o62))), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b":'P\x0f\x1a4\x93\xaf\xc5\xd9\x0b\xa1l\xf9\xde\x927"), chr(0b1100100) + chr(0b111010 + 0o53) + chr(99) + chr(111) + chr(6665 - 6565) + '\x65')('\x75' + '\164' + chr(102) + chr(0b1011 + 0o42) + '\x38')), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b':#I>!9\x9c\xaf\xfc\xe7\x06\xa1o\xe1\xcc\x93'), chr(4224 - 4124) + chr(0b100011 + 0o102) + chr(99) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + '\070')))
apache/incubator-mxnet	example/bayesian-methods/utils.py	get_executor	def get_executor(sym, ctx, data_inputs, initializer=None): """Get executor to Stochastic Gradient Langevin Dynamics and/or Bayesian Dark Knowledge""" data_shapes = {k: v.shape for k, v in data_inputs.items()} arg_names = sym.list_arguments() aux_names = sym.list_auxiliary_states() param_names = list(set(arg_names) - set(data_inputs.keys())) arg_shapes, output_shapes, aux_shapes = sym.infer_shape(data_shapes) arg_name_shape = {k: s for k, s in zip(arg_names, arg_shapes)} params = {n: nd.empty(arg_name_shape[n], ctx=ctx) for n in param_names} params_grad = {n: nd.empty(arg_name_shape[n], ctx=ctx) for n in param_names} aux_states = {k: nd.empty(s, ctx=ctx) for k, s in zip(aux_names, aux_shapes)} exe = sym.bind(ctx=ctx, args=dict(params, data_inputs), args_grad=params_grad, aux_states=aux_states) if initializer is not None: for k, v in params.items(): initializer(k, v) return exe, params, params_grad, aux_states	python	def get_executor(sym, ctx, data_inputs, initializer=None): """Get executor to Stochastic Gradient Langevin Dynamics and/or Bayesian Dark Knowledge""" data_shapes = {k: v.shape for k, v in data_inputs.items()} arg_names = sym.list_arguments() aux_names = sym.list_auxiliary_states() param_names = list(set(arg_names) - set(data_inputs.keys())) arg_shapes, output_shapes, aux_shapes = sym.infer_shape(data_shapes) arg_name_shape = {k: s for k, s in zip(arg_names, arg_shapes)} params = {n: nd.empty(arg_name_shape[n], ctx=ctx) for n in param_names} params_grad = {n: nd.empty(arg_name_shape[n], ctx=ctx) for n in param_names} aux_states = {k: nd.empty(s, ctx=ctx) for k, s in zip(aux_names, aux_shapes)} exe = sym.bind(ctx=ctx, args=dict(params, data_inputs), args_grad=params_grad, aux_states=aux_states) if initializer is not None: for k, v in params.items(): initializer(k, v) return exe, params, params_grad, aux_states	[ "def", "get_executor", "(", "sym", ",", "ctx", ",", 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"aux_states", "=", "{", "k", ":", "nd", ".", "empty", "(", "s", ",", "ctx", "=", "ctx", ")", "for", "k", ",", "s", "in", "zip", "(", "aux_names", ",", "aux_shapes", ")", "}", "exe", "=", "sym", ".", "bind", "(", "ctx", "=", "ctx", ",", "args", "=", "dict", "(", "params", ",", "", "", "data_inputs", ")", ",", "args_grad", "=", "params_grad", ",", "aux_states", "=", "aux_states", ")", "if", "initializer", "is", "not", "None", ":", "for", "k", ",", "v", "in", "params", ".", "items", "(", ")", ":", "initializer", "(", "k", ",", "v", ")", "return", "exe", ",", "params", ",", "params_grad", ",", "aux_states" ]	Get executor to Stochastic Gradient Langevin Dynamics and/or Bayesian Dark Knowledge	[ "Get", "executor", "to", "Stochastic", "Gradient", "Langevin", "Dynamics", "and", "/", "or", "Bayesian", "Dark", "Knowledge" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/utils.py#L49-L66	train	Get an executor to Stochastic Gradient Langevin Dynamics and or Bayesian Dark Knowledge	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' + chr(50) + chr(2342 - 2288) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(864 - 816) + '\157' + chr(1515 - 1465) + '\x31' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11110 + 0o23) + chr(0b110110) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\x31' + chr(1098 - 1046) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(52) + '\066', 63047 - 63039), ehT0Px3KOsy9('\060' + chr(5193 - 5082) + chr(916 - 865) + chr(1365 - 1310) + '\x31', 9092 - 9084), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(0b10100 + 0o35) + chr(1898 - 1850) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(352 - 303) + chr(0b110111) + chr(48), 6923 - 6915), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110100) + chr(0b10101 + 0o36), 43877 - 43869), ehT0Px3KOsy9('\x30' + chr(2469 - 2358) + '\061' + chr(0b11011 + 0o27) + '\061', 9020 - 9012), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x37' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11011 + 0o27) + chr(51) + chr(0b10000 + 0o46), 48875 - 48867), ehT0Px3KOsy9(chr(990 - 942) + '\x6f' + chr(437 - 388) + chr(789 - 739) + chr(0b100010 + 0o16), 33807 - 33799), ehT0Px3KOsy9(chr(726 - 678) + chr(2557 - 2446) + chr(0b110010) + chr(2535 - 2481) + chr(50), 0o10), ehT0Px3KOsy9(chr(1885 - 1837) + '\x6f' + '\x37' + chr(49), 2237 - 2229), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(489 - 438) + '\063' + chr(0b10001 + 0o45), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(352 - 300) + chr(1129 - 1081), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100 + 0o57) + chr(2239 - 2184) + chr(0b101 + 0o54), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(1116 - 1061) + chr(0b10100 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(2440 - 2389) + chr(2168 - 2115) + '\x31', 5245 - 5237), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\064' + chr(2663 - 2609), 8), ehT0Px3KOsy9(chr(2103 - 2055) + chr(111) + chr(0b110010) + chr(2450 - 2400), 0o10), ehT0Px3KOsy9('\060' + chr(8968 - 8857) + '\x35', 55406 - 55398), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o36) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(4528 - 4417) + chr(0b110100) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4229 - 4118) + chr(0b11111 + 0o23) + '\067' + chr(256 - 201), 16495 - 16487), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x31' + chr(0b10101 + 0o37), 63217 - 63209), ehT0Px3KOsy9(chr(72 - 24) + '\157' + '\062' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(617 - 566) + chr(0b110111) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(862 - 811) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6234 - 6123) + '\x32' + chr(1727 - 1676) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x35' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110000), 31960 - 31952), ehT0Px3KOsy9('\x30' + chr(7015 - 6904) + '\x32' + '\x32' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b10111 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b11011 + 0o33) + '\066', 0b1000), ehT0Px3KOsy9(chr(451 - 403) + chr(11153 - 11042) + chr(0b100000 + 0o22) + chr(0b1011 + 0o47) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2390 - 2340) + chr(0b100110 + 0o12) + chr(50), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(48), 1771 - 1763)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f'), chr(100) + '\x65' + chr(0b11000 + 0o113) + '\x6f' + chr(0b1001010 + 0o32) + chr(101))('\165' + '\164' + chr(102) + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def bFGS9HILXfPg(I7QF3KlS7cYz, oM3jLo753XfX, Cw9XGdlwj874, kwfuYzkY5C57=None): YtBSCi2IqLNC = {OolUPRJhRaJd: cMbll0QYhULo.nauYfLglTpcb for (OolUPRJhRaJd, cMbll0QYhULo) in Cw9XGdlwj874.NzveIZ3IlSH9()} YjuRZH4bY1wk = I7QF3KlS7cYz.list_arguments() kNWn4vwNYXUk = I7QF3KlS7cYz.list_auxiliary_states() FDgTD8rHpSh6 = YyaZ4tpXu4lf(MVEN8G6CxlvR(YjuRZH4bY1wk) - MVEN8G6CxlvR(Cw9XGdlwj874.keys())) (XjvwovEN6dlZ, ewaRrgGVQFhE, Jc3yDgbCJFms) = I7QF3KlS7cYz.infer_shape(YtBSCi2IqLNC) QDckppiCE7Zh = {OolUPRJhRaJd: vGrByMSYMp9h for (OolUPRJhRaJd, vGrByMSYMp9h) in pZ0NK2y6HRbn(YjuRZH4bY1wk, XjvwovEN6dlZ)} nEbJZ4wfte2w = {m1NkCryOw9Bx: Vy_CFRcuYrTj.empty(QDckppiCE7Zh[m1NkCryOw9Bx], ctx=oM3jLo753XfX) for m1NkCryOw9Bx in FDgTD8rHpSh6} aH24hFwMbIac = {m1NkCryOw9Bx: Vy_CFRcuYrTj.empty(QDckppiCE7Zh[m1NkCryOw9Bx], ctx=oM3jLo753XfX) for m1NkCryOw9Bx in FDgTD8rHpSh6} thwrElUX8uOv = {OolUPRJhRaJd: Vy_CFRcuYrTj.empty(vGrByMSYMp9h, ctx=oM3jLo753XfX) for (OolUPRJhRaJd, vGrByMSYMp9h) in pZ0NK2y6HRbn(kNWn4vwNYXUk, Jc3yDgbCJFms)} fuwbpiKmfMe7 = I7QF3KlS7cYz.bind(ctx=oM3jLo753XfX, args=wLqBDw8l0eIm(nEbJZ4wfte2w, Cw9XGdlwj874), args_grad=aH24hFwMbIac, aux_states=thwrElUX8uOv) if kwfuYzkY5C57 is not None: for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(nEbJZ4wfte2w, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\x10\xfc\x15/\|\xca\x0f\x14\xb0\x19\x81'), chr(0b1100100) + chr(5248 - 5147) + '\143' + chr(0b111011 + 0o64) + chr(100) + chr(101))('\x75' + '\x74' + chr(0b1100110) + '\055' + '\070'))(): kwfuYzkY5C57(OolUPRJhRaJd, cMbll0QYhULo) return (fuwbpiKmfMe7, nEbJZ4wfte2w, aH24hFwMbIac, thwrElUX8uOv)
apache/incubator-mxnet	example/bayesian-methods/utils.py	copy_param	def copy_param(exe, new_param=None): """Create copy of parameters""" if new_param is None: new_param = {k: nd.empty(v.shape, ctx=mx.cpu()) for k, v in exe.arg_dict.items()} for k, v in new_param.items(): exe.arg_dict[k].copyto(v) return new_param	python	def copy_param(exe, new_param=None): """Create copy of parameters""" if new_param is None: new_param = {k: nd.empty(v.shape, ctx=mx.cpu()) for k, v in exe.arg_dict.items()} for k, v in new_param.items(): exe.arg_dict[k].copyto(v) return new_param	[ "def", "copy_param", "(", "exe", ",", "new_param", "=", "None", ")", ":", "if", "new_param", "is", "None", ":", "new_param", "=", "{", "k", ":", "nd", ".", "empty", "(", "v", ".", "shape", ",", "ctx", "=", "mx", ".", "cpu", "(", ")", ")", "for", "k", ",", "v", "in", "exe", ".", "arg_dict", ".", "items", "(", ")", "}", "for", "k", ",", "v", "in", "new_param", ".", "items", "(", ")", ":", "exe", ".", "arg_dict", "[", "k", "]", ".", "copyto", "(", "v", ")", "return", "new_param" ]	Create copy of parameters	[ "Create", "copy", "of", "parameters" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/utils.py#L69-L75	train	Create copy of 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(chr(0b110000) + '\157' + chr(0b110001) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(1563 - 1512) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(0b10101 + 0o35) + '\x30' + chr(867 - 812), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\062' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(704 - 593) + chr(0b110 + 0o54) + '\x31' + chr(564 - 516), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110000) + chr(1706 - 1657), 30050 - 30042), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110011) + chr(48) + chr(55), 4607 - 4599), ehT0Px3KOsy9(chr(48) + chr(3607 - 3496) + chr(1893 - 1842) + '\063' + chr(0b10 + 0o65), 0b1000), ehT0Px3KOsy9(chr(632 - 584) + chr(0b1100110 + 0o11) + chr(0b101 + 0o56) + chr(50) + '\061', 14620 - 14612), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1128 - 1077) + '\060' + chr(0b101 + 0o54), 32363 - 32355), ehT0Px3KOsy9(chr(2104 - 2056) + chr(0b1100101 + 0o12) + '\x36' + '\062', 38265 - 38257), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o42) + '\065', 57057 - 57049), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1101 + 0o44) + '\064' + chr(0b10011 + 0o42), 0o10), ehT0Px3KOsy9(chr(2155 - 2107) + '\157' + '\063' + chr(0b1011 + 0o54) + chr(0b110110), 61016 - 61008), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + '\x33' + chr(881 - 828) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b101010 + 0o10) + '\065' + chr(0b10110 + 0o33), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11100 + 0o27) + '\065' + chr(0b100 + 0o61), 53106 - 53098), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(141 - 93), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\064' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1822 - 1774) + chr(0b1101111) + chr(0b1001 + 0o52) + chr(1438 - 1389) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1488 - 1440) + '\157' + '\x31' + chr(0b110001) + chr(974 - 922), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(3475 - 3364) + '\066' + chr(0b11100 + 0o25), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2440 - 2389) + chr(0b110010) + '\062', 22016 - 22008), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11010 + 0o27) + chr(50) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(8823 - 8712) + chr(0b110010) + chr(0b101100 + 0o11) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(7006 - 6895) + chr(0b110010) + chr(1167 - 1117) + '\x34', 59441 - 59433), ehT0Px3KOsy9(chr(2113 - 2065) + chr(9003 - 8892) + chr(0b110010) + chr(1111 - 1057) + chr(0b110000 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3949 - 3838) + chr(0b110101) + chr(198 - 149), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + '\061' + '\x34' + chr(250 - 201), 39712 - 39704), ehT0Px3KOsy9(chr(977 - 929) + chr(2408 - 2297) + '\063' + chr(0b1011 + 0o46) + chr(1446 - 1392), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(125 - 75) + chr(55) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(54) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + '\x32' + '\x35' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b100111 + 0o110) + chr(0b110001) + chr(50) + chr(0b110011 + 0o0), 28866 - 28858), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + '\x30', 45192 - 45184), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1100011 + 0o14) + '\061' + chr(0b110100) + chr(0b11111 + 0o26), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + '\066', 11803 - 11795), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(1549 - 1498), 35665 - 35657), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\061' + chr(2135 - 2081), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b1001 + 0o47), 13454 - 13446)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'"'), chr(0b1100100) + chr(0b1100101) + chr(2126 - 2027) + '\157' + '\144' + chr(0b10101 + 0o120))(chr(0b1110101) + '\164' + chr(102) + chr(0b11011 + 0o22) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def BD7LIbAHmKDb(fuwbpiKmfMe7, CRQho_DdfIGB=None): if CRQho_DdfIGB is None: CRQho_DdfIGB = {OolUPRJhRaJd: Vy_CFRcuYrTj.empty(cMbll0QYhULo.nauYfLglTpcb, ctx=CIVheOt0RKQX.cpu()) for (OolUPRJhRaJd, cMbll0QYhULo) in fuwbpiKmfMe7.arg_dict.NzveIZ3IlSH9()} for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(CRQho_DdfIGB, xafqLlk3kkUe(SXOLrMavuUCe(b'Bf\xf1\xb0\xc1\xdb\xf4\x96\xbd\x92z\x14'), chr(100) + '\x65' + chr(99) + '\157' + chr(3798 - 3698) + chr(8019 - 7918))(chr(0b1100 + 0o151) + chr(116) + '\146' + chr(0b11110 + 0o17) + '\070'))(): xafqLlk3kkUe(fuwbpiKmfMe7.arg_dict[OolUPRJhRaJd], xafqLlk3kkUe(SXOLrMavuUCe(b'os\xf7\xac\xfc\xee'), '\144' + chr(0b1100101) + chr(0b1010001 + 0o22) + chr(0b11100 + 0o123) + '\x64' + chr(0b1000110 + 0o37))('\x75' + chr(5618 - 5502) + '\146' + chr(0b10001 + 0o34) + chr(56)))(cMbll0QYhULo) return CRQho_DdfIGB
apache/incubator-mxnet	example/ctc/lstm_ocr_train.py	parse_args	def parse_args(): """Parse command line arguments""" parser = argparse.ArgumentParser() parser.add_argument("font_path", help="Path to ttf font file or directory containing ttf files") parser.add_argument("--loss", help="'ctc' or 'warpctc' loss [Default 'ctc']", default='ctc') parser.add_argument("--cpu", help="Number of CPUs for training [Default 8]. Ignored if --gpu is specified.", type=int, default=8) parser.add_argument("--gpu", help="Number of GPUs for training [Default 0]", type=int) parser.add_argument("--num_proc", help="Number CAPTCHA generating processes [Default 4]", type=int, default=4) parser.add_argument("--prefix", help="Checkpoint prefix [Default 'ocr']", default='ocr') return parser.parse_args()	python	def parse_args(): """Parse command line arguments""" parser = argparse.ArgumentParser() parser.add_argument("font_path", help="Path to ttf font file or directory containing ttf files") parser.add_argument("--loss", help="'ctc' or 'warpctc' loss [Default 'ctc']", default='ctc') parser.add_argument("--cpu", help="Number of CPUs for training [Default 8]. Ignored if --gpu is specified.", type=int, default=8) parser.add_argument("--gpu", help="Number of GPUs for training [Default 0]", type=int) parser.add_argument("--num_proc", help="Number CAPTCHA generating processes [Default 4]", type=int, default=4) parser.add_argument("--prefix", help="Checkpoint prefix [Default 'ocr']", default='ocr') return parser.parse_args()	[ "def", "parse_args", "(", ")", ":", "parser", "=", "argparse", ".", "ArgumentParser", "(", ")", "parser", ".", "add_argument", "(", "\"font_path\"", ",", "help", "=", "\"Path to ttf font file or directory containing ttf files\"", ")", "parser", ".", "add_argument", "(", "\"--loss\"", ",", "help", "=", "\"'ctc' or 'warpctc' loss [Default 'ctc']\"", ",", "default", "=", "'ctc'", ")", "parser", ".", "add_argument", "(", "\"--cpu\"", ",", "help", "=", "\"Number of CPUs for training [Default 8]. Ignored if --gpu is specified.\"", ",", "type", "=", "int", ",", "default", "=", "8", ")", "parser", ".", "add_argument", "(", "\"--gpu\"", ",", "help", "=", "\"Number of GPUs for training [Default 0]\"", ",", "type", "=", "int", ")", "parser", ".", "add_argument", "(", "\"--num_proc\"", ",", "help", "=", "\"Number CAPTCHA generating processes [Default 4]\"", ",", "type", "=", "int", ",", "default", "=", "4", ")", "parser", ".", "add_argument", "(", "\"--prefix\"", ",", "help", "=", "\"Checkpoint prefix [Default 'ocr']\"", ",", "default", "=", "'ocr'", ")", "return", "parser", ".", "parse_args", "(", ")" ]	Parse command line arguments	[ "Parse", "command", "line", "arguments" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/lstm_ocr_train.py#L44-L55	train	Parse command line arguments	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(9073 - 8962) + chr(0b110001) + chr(2476 - 2422) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(3336 - 3225) + '\x31' + chr(0b11010 + 0o31) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + '\062' + chr(946 - 897) + chr(508 - 459), ord("\x08")), ehT0Px3KOsy9(chr(1558 - 1510) + chr(0b10 + 0o155) + '\062' + chr(1555 - 1500) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1068 - 1020) + chr(0b1100111 + 0o10) + chr(0b100010 + 0o21) + '\x32' + chr(0b1000 + 0o52), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(11987 - 11876) + chr(49) + chr(0b100011 + 0o24) + chr(673 - 623), 0b1000), ehT0Px3KOsy9(chr(1294 - 1246) + chr(6130 - 6019) + '\x32' + chr(0b110100) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(1145 - 1094), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x37' + chr(53), 0b1000), ehT0Px3KOsy9(chr(199 - 151) + chr(0b0 + 0o157) + chr(52) + chr(0b110010), 16282 - 16274), ehT0Px3KOsy9(chr(1471 - 1423) + chr(4055 - 3944) + chr(51) + chr(0b110001) + chr(1477 - 1425), 40287 - 40279), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1735 - 1686) + chr(0b110001) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b100001 + 0o24) + chr(1443 - 1388), 8519 - 8511), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b110010) + chr(0b110111) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(232 - 181) + chr(0b110110) + chr(0b1100 + 0o46), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110101) + '\061', 58197 - 58189), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(0b101110 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11110 + 0o27) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + '\062' + chr(1270 - 1215) + chr(480 - 432), 0b1000), ehT0Px3KOsy9(chr(2252 - 2204) + '\157' + chr(0b110001) + chr(1322 - 1270) + chr(0b101011 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(50) + chr(0b110011) + chr(0b10111 + 0o33), 14493 - 14485), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\065' + chr(0b100101 + 0o14), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(4026 - 3915) + chr(2237 - 2187) + chr(1976 - 1922) + chr(0b10101 + 0o42), 55986 - 55978), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2751 - 2698) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o64) + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\061' + chr(0b100001 + 0o26), 560 - 552), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b110011) + chr(0b100101 + 0o13) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(2535 - 2481) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o7) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1455 - 1404) + '\062' + chr(0b10110 + 0o41), 17757 - 17749), ehT0Px3KOsy9(chr(2101 - 2053) + chr(0b1101111) + chr(2463 - 2412) + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x32' + '\066' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(974 - 926) + chr(7007 - 6896) + chr(0b101000 + 0o13) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x34' + chr(110 - 57), 9366 - 9358), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(55) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(55) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1170 - 1122) + chr(111) + chr(0b1101 + 0o44) + chr(0b110100) + chr(539 - 491), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x35' + chr(49), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(2088 - 2035) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b']'), '\144' + chr(3039 - 2938) + '\143' + '\157' + chr(0b110101 + 0o57) + chr(8211 - 8110))('\165' + chr(0b11101 + 0o127) + '\x66' + chr(0b111 + 0o46) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def WomKxYoHsZim(): uvsdWIii6oeC = J3PV4AmS6TTH.ArgumentParser() xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12>\xed\xe5\xb3\x08\xc2^\x90G\xa2;'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')('\165' + '\164' + chr(0b1100110) + '\055' + chr(0b1101 + 0o53)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x155\xe7\xce\x8d\n\xc4_\x95'), '\x64' + '\x65' + chr(200 - 101) + chr(111) + chr(0b1100100) + '\x65')(chr(0b10000 + 0o145) + chr(0b1100111 + 0o15) + chr(102) + chr(45) + chr(2869 - 2813)), help=xafqLlk3kkUe(SXOLrMavuUCe(b"#;\xfd\xd2\xf2\x0e\xca\x0b\x89V\xaao\t\xd5\x9c\xdd'I\xd1\x0f\xff\x12\xc6\xc5\x08J\xe6\xb6\xd6z\xa3\xbb\xc0\xa6E\x1bn\x11\x14\x88\x1a4\xe0\xd4\xb5Z\xd1_\x9b\x02\xaa&\x03\xdf\x81"), chr(100) + chr(0b1100101) + chr(0b11000 + 0o113) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + chr(7181 - 7065) + '\146' + chr(1072 - 1027) + '\x38')) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12>\xed\xe5\xb3\x08\xc2^\x90G\xa2;'), '\144' + '\x65' + chr(0b1011 + 0o130) + chr(0b1101111) + chr(9892 - 9792) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'^w\xe5\xd5\xa1\t'), chr(0b101101 + 0o67) + chr(0b1100101) + chr(0b110011 + 0o60) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1010000 + 0o26) + chr(0b101101) + '\070'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'T9\xfd\xd9\xf5Z\xcaY\xdd\x05\xbb.\x1d\xca\x91\xddd\x08\x98\x0f\xf5A\xda\x97sj\xea\xa2\xd2l\xbb\xa0\x92\xf8\x06\x0cbX='), chr(0b1001111 + 0o25) + chr(0b1100101) + chr(0b1010 + 0o131) + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1001111 + 0o45) + chr(0b1100110) + chr(0b10 + 0o53) + chr(0b10100 + 0o44)), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\x10.\xea'), '\x64' + chr(1775 - 1674) + '\x63' + chr(0b1011100 + 0o23) + '\144' + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b10 + 0o53) + chr(56))) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12>\xed\xe5\xb3\x08\xc2^\x90G\xa2;'), '\x64' + chr(0b111101 + 0o50) + chr(9064 - 8965) + '\x6f' + chr(0b1100100) + chr(5100 - 4999))(chr(10634 - 10517) + chr(116) + chr(7836 - 7734) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'^w\xea\xca\xa7'), chr(100) + chr(0b1100101) + chr(0b100010 + 0o101) + chr(0b1101111) + '\144' + chr(101))(chr(6810 - 6693) + chr(6812 - 6696) + chr(102) + '\x2d' + chr(682 - 626)), help=xafqLlk3kkUe(SXOLrMavuUCe(b'=/\xe4\xd8\xb7\x08\x85D\x9b\x02\x8f\x1f:\xc9\xd2\xcfh]\x98\x17\xe8S\xc0\xd9A@\xe8\xe4\xe8]\xb2\xb2\xd3\xaa\t\x0c!G=\xc7S\x13\xee\xd4\xbd\x08\xc0O\xddK\xaaoB\x97\x95\xd9r\x0f\xd1\x10\xbaA\xd9\xd2KG\xe9\xad\xd6}\xf9'), chr(5454 - 5354) + chr(408 - 307) + chr(0b10000 + 0o123) + chr(111) + chr(0b1100100) + chr(8708 - 8607))('\165' + '\164' + '\x66' + chr(45) + chr(211 - 155)), type=ehT0Px3KOsy9, default=ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x30', ord("\x08"))) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12>\xed\xe5\xb3\x08\xc2^\x90G\xa2;'), '\144' + '\x65' + chr(0b101100 + 0o67) + chr(111) + chr(100) + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000 + 0o0)))(xafqLlk3kkUe(SXOLrMavuUCe(b'^w\xee\xca\xa7'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(3384 - 3273) + chr(0b1100100) + chr(9134 - 9033))('\x75' + chr(116) + chr(0b1100110) + '\055' + '\x38'), help=xafqLlk3kkUe(SXOLrMavuUCe(b'=/\xe4\xd8\xb7\x08\x85D\x9b\x02\x8b\x1f:\xc9\xd2\xcfh]\x98\x17\xe8S\xc0\xd9A@\xe8\xe4\xe8]\xb2\xb2\xd3\xaa\t\x0c!O='), chr(0b1100100) + '\145' + chr(0b1001010 + 0o31) + chr(0b1101111) + chr(0b1000100 + 0o40) + chr(101))('\x75' + chr(0b1000011 + 0o61) + chr(0b1100110) + chr(0b11011 + 0o22) + '\x38'), type=ehT0Px3KOsy9) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12>\xed\xe5\xb3\x08\xc2^\x90G\xa2;'), chr(0b1100100) + chr(101) + chr(2491 - 2392) + chr(0b11100 + 0o123) + chr(100) + chr(0b110001 + 0o64))('\x75' + '\164' + chr(4548 - 4446) + chr(0b101101) + chr(0b110011 + 0o5)))(xafqLlk3kkUe(SXOLrMavuUCe(b'^w\xe7\xcf\xbf%\xd5Y\x92A'), chr(0b1100100) + chr(0b1011011 + 0o12) + chr(0b11010 + 0o111) + chr(0b1101111) + '\x64' + chr(9517 - 9416))(chr(117) + chr(0b11101 + 0o127) + '\x66' + chr(45) + chr(0b1011 + 0o55)), help=xafqLlk3kkUe(SXOLrMavuUCe(b"=/\xe4\xd8\xb7\x08\x85h\xbcr\x98\x0c'\xfb\xd2\xcebA\xdd\x11\xfbF\xc0\xd9O\x0e\xff\xb6\xdcz\xb2\xa7\xc1\xba\x16XZ;\x05\x8f\x12/\xe5\xce\xf2N\xf8"), chr(100) + chr(101) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(1428 - 1383) + chr(0b111000)), type=ehT0Px3KOsy9, default=ehT0Px3KOsy9(chr(266 - 218) + '\x6f' + chr(52), 0b1000)) xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12>\xed\xe5\xb3\x08\xc2^\x90G\xa2;'), '\x64' + '\x65' + chr(0b1001 + 0o132) + chr(0b1101111) + chr(0b1011000 + 0o14) + chr(4228 - 4127))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'^w\xf9\xc8\xb7\x1c\xccS'), '\144' + '\x65' + '\x63' + chr(7985 - 7874) + '\144' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(8613 - 8511) + chr(0b100100 + 0o11) + '\070'), help=xafqLlk3kkUe(SXOLrMavuUCe(b"02\xec\xd9\xb9\n\xcaB\x93V\xec?\x1d\xdf\x94\xc0\x7f\x0f\xe3'\xffT\xc8\xc2DZ\xaf\xe3\xdcz\xa5\xf3\xef"), chr(0b100000 + 0o104) + '\145' + '\143' + chr(111) + chr(0b10110 + 0o116) + chr(101))('\x75' + '\x74' + '\146' + '\055' + '\070'), default=xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c9\xfb'), '\x64' + chr(3047 - 2946) + '\143' + '\157' + '\144' + chr(9013 - 8912))(chr(117) + chr(8775 - 8659) + '\146' + chr(45) + chr(56))) return xafqLlk3kkUe(uvsdWIii6oeC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03;\xfb\xc9\xb7%\xc4Y\x9aQ'), chr(100) + chr(0b10000 + 0o125) + chr(1539 - 1440) + chr(0b1011011 + 0o24) + chr(6702 - 6602) + '\145')(chr(0b1110101) + '\164' + chr(102) + chr(45) + '\070'))()
apache/incubator-mxnet	example/ctc/lstm_ocr_train.py	main	def main(): """Program entry point""" args = parse_args() if not any(args.loss == s for s in ['ctc', 'warpctc']): raise ValueError("Invalid loss '{}' (must be 'ctc' or 'warpctc')".format(args.loss)) hp = Hyperparams() # Start a multiprocessor captcha image generator mp_captcha = MPDigitCaptcha( font_paths=get_fonts(args.font_path), h=hp.seq_length, w=30, num_digit_min=3, num_digit_max=4, num_processes=args.num_proc, max_queue_size=hp.batch_size * 2) try: # Must call start() before any call to mxnet module (https://github.com/apache/incubator-mxnet/issues/9213) mp_captcha.start() if args.gpu: contexts = [mx.context.gpu(i) for i in range(args.gpu)] else: contexts = [mx.context.cpu(i) for i in range(args.cpu)] init_states = lstm.init_states(hp.batch_size, hp.num_lstm_layer, hp.num_hidden) data_train = OCRIter( hp.train_epoch_size // hp.batch_size, hp.batch_size, init_states, captcha=mp_captcha, name='train') data_val = OCRIter( hp.eval_epoch_size // hp.batch_size, hp.batch_size, init_states, captcha=mp_captcha, name='val') symbol = lstm.lstm_unroll( num_lstm_layer=hp.num_lstm_layer, seq_len=hp.seq_length, num_hidden=hp.num_hidden, num_label=hp.num_label, loss_type=args.loss) head = '%(asctime)-15s %(message)s' logging.basicConfig(level=logging.DEBUG, format=head) module = mx.mod.Module( symbol, data_names=['data', 'l0_init_c', 'l0_init_h', 'l1_init_c', 'l1_init_h'], label_names=['label'], context=contexts) metrics = CtcMetrics(hp.seq_length) module.fit(train_data=data_train, eval_data=data_val, # use metrics.accuracy or metrics.accuracy_lcs eval_metric=mx.metric.np(metrics.accuracy, allow_extra_outputs=True), optimizer='sgd', optimizer_params={'learning_rate': hp.learning_rate, 'momentum': hp.momentum, 'wd': 0.00001, }, initializer=mx.init.Xavier(factor_type="in", magnitude=2.34), num_epoch=hp.num_epoch, batch_end_callback=mx.callback.Speedometer(hp.batch_size, 50), epoch_end_callback=mx.callback.do_checkpoint(args.prefix), ) except KeyboardInterrupt: print("W: interrupt received, stopping...") finally: # Reset multiprocessing captcha generator to stop processes mp_captcha.reset()	python	def main(): """Program entry point""" args = parse_args() if not any(args.loss == s for s in ['ctc', 'warpctc']): raise ValueError("Invalid loss '{}' (must be 'ctc' or 'warpctc')".format(args.loss)) hp = Hyperparams() # Start a multiprocessor captcha image generator mp_captcha = MPDigitCaptcha( font_paths=get_fonts(args.font_path), h=hp.seq_length, w=30, num_digit_min=3, num_digit_max=4, num_processes=args.num_proc, max_queue_size=hp.batch_size * 2) try: # Must call start() before any call to mxnet module (https://github.com/apache/incubator-mxnet/issues/9213) mp_captcha.start() if args.gpu: contexts = [mx.context.gpu(i) for i in range(args.gpu)] else: contexts = [mx.context.cpu(i) for i in range(args.cpu)] init_states = lstm.init_states(hp.batch_size, hp.num_lstm_layer, hp.num_hidden) data_train = OCRIter( hp.train_epoch_size // hp.batch_size, hp.batch_size, init_states, captcha=mp_captcha, name='train') data_val = OCRIter( hp.eval_epoch_size // hp.batch_size, hp.batch_size, init_states, captcha=mp_captcha, name='val') symbol = lstm.lstm_unroll( num_lstm_layer=hp.num_lstm_layer, seq_len=hp.seq_length, num_hidden=hp.num_hidden, num_label=hp.num_label, loss_type=args.loss) head = '%(asctime)-15s %(message)s' logging.basicConfig(level=logging.DEBUG, format=head) module = mx.mod.Module( symbol, data_names=['data', 'l0_init_c', 'l0_init_h', 'l1_init_c', 'l1_init_h'], label_names=['label'], context=contexts) metrics = CtcMetrics(hp.seq_length) module.fit(train_data=data_train, eval_data=data_val, # use metrics.accuracy or metrics.accuracy_lcs eval_metric=mx.metric.np(metrics.accuracy, allow_extra_outputs=True), optimizer='sgd', optimizer_params={'learning_rate': hp.learning_rate, 'momentum': hp.momentum, 'wd': 0.00001, }, initializer=mx.init.Xavier(factor_type="in", magnitude=2.34), num_epoch=hp.num_epoch, batch_end_callback=mx.callback.Speedometer(hp.batch_size, 50), epoch_end_callback=mx.callback.do_checkpoint(args.prefix), ) except KeyboardInterrupt: print("W: interrupt received, stopping...") finally: # Reset multiprocessing captcha generator to stop processes mp_captcha.reset()	[ "def", "main", "(", ")", ":", "args", "=", "parse_args", "(", ")", "if", "not", "any", "(", "args", ".", "loss", "==", "s", "for", "s", "in", "[", "'ctc'", ",", "'warpctc'", "]", ")", ":", "raise", "ValueError", "(", "\"Invalid loss '{}' (must be 'ctc' or 'warpctc')\"", ".", "format", "(", "args", ".", "loss", ")", ")", "hp", "=", "Hyperparams", "(", ")", "# Start a multiprocessor captcha image generator", "mp_captcha", "=", "MPDigitCaptcha", "(", "font_paths", "=", "get_fonts", "(", "args", ".", "font_path", ")", ",", "h", "=", "hp", ".", "seq_length", ",", "w", "=", "30", ",", "num_digit_min", "=", "3", ",", "num_digit_max", "=", "4", ",", "num_processes", "=", "args", ".", "num_proc", ",", "max_queue_size", "=", "hp", ".", "batch_size", "*", "2", ")", "try", ":", "# Must call start() before any call to mxnet module (https://github.com/apache/incubator-mxnet/issues/9213)", "mp_captcha", ".", "start", "(", ")", "if", "args", ".", "gpu", ":", "contexts", "=", "[", "mx", ".", "context", ".", "gpu", "(", "i", ")", "for", "i", "in", "range", "(", "args", ".", "gpu", ")", "]", "else", ":", "contexts", "=", "[", "mx", ".", "context", ".", "cpu", "(", "i", ")", "for", "i", "in", "range", "(", "args", ".", "cpu", ")", "]", "init_states", "=", "lstm", ".", "init_states", "(", "hp", ".", "batch_size", ",", "hp", ".", "num_lstm_layer", ",", "hp", ".", "num_hidden", ")", "data_train", "=", "OCRIter", "(", "hp", ".", "train_epoch_size", "//", "hp", ".", "batch_size", ",", "hp", ".", "batch_size", ",", "init_states", ",", "captcha", "=", "mp_captcha", ",", "name", "=", "'train'", ")", "data_val", "=", "OCRIter", "(", "hp", ".", "eval_epoch_size", "//", "hp", ".", "batch_size", ",", "hp", ".", "batch_size", ",", "init_states", ",", "captcha", "=", "mp_captcha", ",", "name", "=", "'val'", ")", "symbol", "=", "lstm", ".", "lstm_unroll", "(", "num_lstm_layer", "=", "hp", ".", "num_lstm_layer", ",", "seq_len", "=", "hp", ".", "seq_length", ",", "num_hidden", "=", "hp", ".", "num_hidden", ",", "num_label", "=", "hp", ".", "num_label", ",", "loss_type", "=", "args", ".", "loss", ")", "head", "=", "'%(asctime)-15s %(message)s'", "logging", ".", "basicConfig", "(", "level", "=", "logging", ".", "DEBUG", ",", "format", "=", "head", ")", "module", "=", "mx", ".", "mod", ".", "Module", "(", "symbol", ",", "data_names", "=", "[", "'data'", ",", "'l0_init_c'", ",", "'l0_init_h'", ",", "'l1_init_c'", ",", "'l1_init_h'", "]", ",", "label_names", "=", "[", "'label'", "]", ",", "context", "=", "contexts", ")", "metrics", "=", "CtcMetrics", "(", "hp", ".", "seq_length", ")", "module", ".", "fit", "(", "train_data", "=", "data_train", ",", "eval_data", "=", "data_val", ",", "# use metrics.accuracy or metrics.accuracy_lcs", "eval_metric", "=", "mx", ".", "metric", ".", "np", "(", "metrics", ".", "accuracy", ",", "allow_extra_outputs", "=", "True", ")", ",", "optimizer", "=", "'sgd'", ",", "optimizer_params", "=", "{", "'learning_rate'", ":", "hp", ".", "learning_rate", ",", "'momentum'", ":", "hp", ".", "momentum", ",", "'wd'", ":", "0.00001", ",", "}", ",", "initializer", "=", "mx", ".", "init", ".", "Xavier", "(", "factor_type", "=", "\"in\"", ",", "magnitude", "=", "2.34", ")", ",", "num_epoch", "=", "hp", ".", "num_epoch", ",", "batch_end_callback", "=", "mx", ".", "callback", ".", "Speedometer", "(", "hp", ".", "batch_size", ",", "50", ")", ",", "epoch_end_callback", "=", "mx", ".", "callback", ".", "do_checkpoint", "(", "args", ".", "prefix", ")", ",", ")", "except", "KeyboardInterrupt", ":", "print", "(", "\"W: interrupt received, stopping...\"", ")", "finally", ":", "# Reset multiprocessing captcha generator to stop processes", "mp_captcha", ".", "reset", "(", ")" ]	Program entry point	[ "Program", "entry", "point" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/lstm_ocr_train.py#L58-L121	train	Main entry point of the module.	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(285 - 234) + '\061' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(11386 - 11275) + chr(49) + '\067' + chr(0b100001 + 0o20), 0o10), ehT0Px3KOsy9(chr(203 - 155) + chr(11451 - 11340) + chr(0b110010) + chr(2286 - 2238), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(935 - 887) + chr(2391 - 2338), 29019 - 29011), ehT0Px3KOsy9(chr(1602 - 1554) + chr(0b1101 + 0o142) + '\062' + chr(636 - 588), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010 + 0o1) + chr(0b110101) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(418 - 368) + chr(49) + chr(0b10100 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o11) + '\x33' + chr(1830 - 1781), ord("\x08")), ehT0Px3KOsy9(chr(1625 - 1577) + '\x6f' + '\x32' + chr(51) + '\061', 8), ehT0Px3KOsy9(chr(966 - 918) + chr(0b1110 + 0o141) + chr(0b10110 + 0o35) + chr(1713 - 1663) + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b10011 + 0o36) + chr(55) + chr(0b10010 + 0o42), 0o10), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + '\062' + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b100000 + 0o22) + '\x35' + chr(0b101011 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(10502 - 10391) + chr(50) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(1412 - 1364) + '\067', 8401 - 8393), ehT0Px3KOsy9(chr(48) + chr(6356 - 6245) + chr(0b101 + 0o55) + '\x35' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1200 - 1149) + chr(0b110101) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1804 - 1756) + chr(0b1101111) + '\x31' + chr(0b100010 + 0o20) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x36' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110111) + chr(0b101100 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(1502 - 1454) + '\x6f' + chr(52) + chr(0b110000 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + chr(0b0 + 0o63) + '\061' + '\064', 4370 - 4362), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1 + 0o60) + '\062' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111 + 0o0) + '\065' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110100) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(50) + '\066', 47276 - 47268), ehT0Px3KOsy9(chr(2002 - 1954) + chr(0b1101111) + chr(806 - 755) + chr(0b110100) + '\x34', 14709 - 14701), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b10011 + 0o44) + chr(0b0 + 0o66), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(299 - 249) + chr(55) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(9867 - 9756) + chr(0b1011 + 0o50) + '\x37', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100001 + 0o20) + chr(50) + chr(0b110000 + 0o4), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b10010 + 0o40) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(873 - 825) + '\x6f' + '\x31' + '\x31' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b111001 + 0o66) + chr(0b11110 + 0o24) + '\x37' + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + '\x31' + chr(0b110111) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + '\060', 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\x33' + chr(926 - 875) + chr(0b110010), 4166 - 4158), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(0b100100 + 0o22), 56000 - 55992)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(5784 - 5673) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), '\144' + chr(0b1010001 + 0o24) + chr(6641 - 6542) + '\x6f' + chr(9733 - 9633) + chr(1858 - 1757))(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + chr(767 - 711)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def PGNrezus7XpS(): kJDRfRhcZHjS = WomKxYoHsZim() if not UVSi4XW7eBIM((xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\t_\xb5R\x89\xd7\xaf\xff\x9al\x1a'), chr(0b1001100 + 0o30) + '\145' + chr(3802 - 3703) + chr(0b1101111) + '\x64' + chr(101))('\165' + '\x74' + '\146' + chr(159 - 114) + chr(0b111000))) == vGrByMSYMp9h for vGrByMSYMp9h in [xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\rs'), '\x64' + '\145' + '\143' + chr(111) + chr(5287 - 5187) + chr(0b1100101))(chr(117) + '\x74' + '\146' + chr(165 - 120) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x18b\xf5s\x9e\xee'), chr(2134 - 2034) + chr(101) + chr(0b1100011 + 0o0) + chr(7643 - 7532) + chr(0b1100100) + '\x65')(chr(8441 - 8324) + chr(116) + chr(0b1001101 + 0o31) + '\x2d' + '\070')])): raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x17f\xe4\|\x83\xe9\xb9\xf5\xb8l\x0f\x83\x8bi\xfa\x8c\xccz\\\xc9S\xb8pN\x06\xf6\xc3X\x8a\xdb8t\xbf;\x9c[W\xbbL\xba\x1ad\xe67\xc3'), '\144' + chr(1647 - 1546) + '\x63' + chr(8922 - 8811) + '\144' + chr(0b1100101))('\x75' + chr(116) + chr(0b11010 + 0o114) + chr(0b101101) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cMb\xeaX\x8b\xde\xaa\xc9\xa7z\x16'), chr(100) + '\145' + chr(99) + '\157' + chr(0b1100100) + '\x65')('\x75' + chr(9398 - 9282) + chr(4842 - 4740) + '\055' + chr(0b101111 + 0o11)))(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\t_\xb5R\x89\xd7\xaf\xff\x9al\x1a'), chr(0b110001 + 0o63) + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(3821 - 3705) + chr(0b110001 + 0o65) + '\x2d' + chr(56))))) ny6shRSJO9Wm = Dl9KgdAdEOXE() RXZDkg8jjDbw = QrMgS1VWDzWb(font_paths=G3jROextFKx7(kJDRfRhcZHjS.font_path), h=ny6shRSJO9Wm.seq_length, w=ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b110110 + 0o0), ord("\x08")), num_digit_min=ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o50), 0b1000), num_digit_max=ehT0Px3KOsy9(chr(1550 - 1502) + chr(11668 - 11557) + chr(2577 - 2525), 43203 - 43195), num_processes=kJDRfRhcZHjS.num_proc, max_queue_size=ny6shRSJO9Wm.ix9dZyeAmUxY * ehT0Px3KOsy9('\060' + chr(111) + '\062', 0b1000)) try: xafqLlk3kkUe(RXZDkg8jjDbw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\rq\xf7d'), chr(9995 - 9895) + '\x65' + '\143' + chr(0b1000 + 0o147) + chr(4026 - 3926) + chr(5750 - 5649))(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + chr(0b11110 + 0o32)))() if xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\te'), chr(0b1001001 + 0o33) + chr(101) + chr(0b1000011 + 0o40) + '\157' + chr(100) + '\x65')(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000))): ynJaO5A07BVC = [CIVheOt0RKQX.context.gpu(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(kJDRfRhcZHjS.gpu)] else: ynJaO5A07BVC = [CIVheOt0RKQX.context.cpu(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(kJDRfRhcZHjS.cpu)] veatLGGmwDMB = M4FLVuacvPuQ.init_states(ny6shRSJO9Wm.ix9dZyeAmUxY, ny6shRSJO9Wm.num_lstm_layer, ny6shRSJO9Wm.num_hidden) cKmU7NtMOMDe = q1ihYRHnAOF5(ny6shRSJO9Wm.train_epoch_size // ny6shRSJO9Wm.ix9dZyeAmUxY, ny6shRSJO9Wm.ix9dZyeAmUxY, veatLGGmwDMB, captcha=RXZDkg8jjDbw, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x0bq\xec~'), '\x64' + chr(101) + chr(3031 - 2932) + '\157' + '\144' + chr(101))(chr(0b1110101) + chr(0b1000001 + 0o63) + '\146' + '\055' + chr(0b110011 + 0o5))) pN5ZDgv0VccK = q1ihYRHnAOF5(ny6shRSJO9Wm.eval_epoch_size // ny6shRSJO9Wm.ix9dZyeAmUxY, ny6shRSJO9Wm.ix9dZyeAmUxY, veatLGGmwDMB, captcha=RXZDkg8jjDbw, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x18\|'), chr(0b1010111 + 0o15) + chr(101) + chr(6454 - 6355) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(2927 - 2871))) Usr5ykvL2UZF = M4FLVuacvPuQ.lstm_unroll(num_lstm_layer=ny6shRSJO9Wm.num_lstm_layer, seq_len=ny6shRSJO9Wm.seq_length, num_hidden=ny6shRSJO9Wm.num_hidden, num_label=ny6shRSJO9Wm.num_label, loss_type=kJDRfRhcZHjS.YpO0BcZ6fMsf) jTNf3myQ667Q = xafqLlk3kkUe(SXOLrMavuUCe(b'\xefQq\xf6s\x9e\xe4\xf4\xfc\xfe2M\x96\xdf2\xa2\x83\x817B\xcfA\xab5\x05\x10'), '\x64' + '\145' + chr(0b1100011) + chr(0b101101 + 0o102) + chr(100) + '\145')(chr(8382 - 8265) + '\x74' + '\146' + chr(45) + chr(0b111000)) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x18c\xecs\xa9\xe2\xf7\xff\xbex'), '\144' + chr(0b1100101) + chr(99) + chr(12091 - 11980) + chr(0b1001101 + 0o27) + chr(101))(chr(0b0 + 0o165) + chr(0b1010010 + 0o42) + '\146' + chr(45) + chr(56)))(level=xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e<R\xd0W'), '\x64' + '\x65' + chr(0b11011 + 0o110) + chr(3483 - 3372) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1001001 + 0o35) + chr(0b101101) + '\070')), format=jTNf3myQ667Q) RqocVGOryNPv = CIVheOt0RKQX.mod.Module(Usr5ykvL2UZF, data_names=[xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\x18d\xe4'), chr(0b1100100) + chr(101) + chr(99) + chr(588 - 477) + chr(0b1000010 + 0o42) + chr(3431 - 3330))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6IO\xec~\x83\xf9\xc6\xfa'), chr(100) + chr(101) + chr(0b1100011) + chr(5652 - 5541) + chr(100) + chr(0b1100101))('\x75' + '\x74' + chr(2411 - 2309) + '\055' + chr(1592 - 1536)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6IO\xec~\x83\xf9\xc6\xf1'), chr(3733 - 3633) + chr(0b1100101) + chr(99) + chr(0b111111 + 0o60) + chr(0b1100100) + '\x65')(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(2035 - 1979)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6HO\xec~\x83\xf9\xc6\xfa'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + '\x2d' + chr(2256 - 2200)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6HO\xec~\x83\xf9\xc6\xf1'), chr(100) + chr(101) + chr(6955 - 6856) + chr(111) + '\144' + chr(101))('\x75' + chr(116) + chr(7779 - 7677) + '\x2d' + chr(777 - 721))], label_names=[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x18r\xe0\|'), chr(100) + chr(5509 - 5408) + chr(3947 - 3848) + '\x6f' + chr(0b1100100) + chr(0b1000011 + 0o42))(chr(0b101100 + 0o111) + chr(0b1011011 + 0o31) + chr(102) + '\x2d' + '\x38')], context=ynJaO5A07BVC) yYegMqDoSfs5 = yGdkBE4imIDc(ny6shRSJO9Wm.seq_length) xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\x10d'), chr(0b100111 + 0o75) + chr(4490 - 4389) + chr(0b10110 + 0o115) + '\x6f' + chr(868 - 768) + '\145')(chr(117) + '\x74' + chr(0b1001000 + 0o36) + chr(0b101101) + '\070'))(train_data=cKmU7NtMOMDe, eval_data=pN5ZDgv0VccK, eval_metric=xafqLlk3kkUe(CIVheOt0RKQX.metric, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\t'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')(chr(1644 - 1527) + '\164' + '\x66' + chr(1430 - 1385) + chr(0b111000)))(xafqLlk3kkUe(yYegMqDoSfs5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x1as\xf0b\x8b\xee\xe0'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(8546 - 8446) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + '\x38')), allow_extra_outputs=ehT0Px3KOsy9('\x30' + chr(12150 - 12039) + chr(1966 - 1917), 0b1000)), optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x1et'), chr(0b111100 + 0o50) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + '\145')('\165' + chr(0b1110100) + chr(1866 - 1764) + chr(45) + chr(56)), optimizer_params={xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x1cq\xf7~\x83\xe3\xfe\xc6\xa5~\x08\xc6'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + chr(100) + chr(0b1100101))('\165' + chr(6384 - 6268) + '\x66' + chr(0b100011 + 0o12) + chr(0b111000)): xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b>C\xcc`\x8e\xd2\xe0\xcc\x99e)'), '\144' + chr(0b1001001 + 0o34) + chr(0b111101 + 0o46) + chr(0b110001 + 0o76) + chr(0b110110 + 0o56) + chr(0b1000000 + 0o45))(chr(0b11101 + 0o130) + chr(6329 - 6213) + chr(0b1000101 + 0o41) + '\055' + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\x16}\xe0~\x9e\xf8\xf4'), '\144' + '\145' + '\143' + chr(0b10 + 0o155) + chr(8613 - 8513) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + '\x2d' + chr(0b111000)): xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\x16\|\xe2&\xa8\xd8\xad\xaa\x8d*\x05'), '\144' + chr(101) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(267 - 150) + chr(0b101001 + 0o113) + '\x66' + chr(0b101101) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x1d'), chr(0b1011010 + 0o12) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b10 + 0o142) + '\x65')(chr(0b110000 + 0o105) + '\x74' + '\146' + chr(463 - 418) + chr(56)): 1e-05}, initializer=xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\x18f\xecu\x98'), '\144' + '\145' + '\x63' + chr(557 - 446) + chr(0b110010 + 0o62) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(0b1100 + 0o41) + '\x38'))(factor_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\x17'), '\144' + chr(0b100101 + 0o100) + chr(99) + chr(8121 - 8010) + '\144' + chr(0b110101 + 0o60))('\x75' + chr(0b1110100) + '\146' + chr(45) + '\x38'), magnitude=2.34), num_epoch=xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\x0c}\xdau\x9a\xe2\xfa\xf1'), chr(0b0 + 0o144) + chr(0b1011000 + 0o15) + chr(99) + chr(5501 - 5390) + chr(100) + chr(0b100111 + 0o76))(chr(0b1000011 + 0o62) + chr(0b1110100) + chr(0b1100110) + chr(0b10111 + 0o26) + '\070')), batch_end_callback=xafqLlk3kkUe(CIVheOt0RKQX.callback, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\tu\xe0t\x85\xe0\xfc\xed\xb2m'), '\144' + chr(3015 - 2914) + chr(99) + chr(111) + chr(100) + '\x65')('\165' + '\x74' + chr(102) + chr(0b101101) + chr(588 - 532)))(xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\x01)\xe1J\x93\xe8\xd8\xf4\x82g%'), chr(8602 - 8502) + chr(8946 - 8845) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(3044 - 2943))(chr(6562 - 6445) + '\x74' + chr(1933 - 1831) + chr(0b100100 + 0o11) + '\x38')), ehT0Px3KOsy9(chr(1107 - 1059) + chr(890 - 779) + chr(0b110110) + chr(0b11001 + 0o31), 0b1000)), epoch_end_callback=xafqLlk3kkUe(CIVheOt0RKQX.callback, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\x16O\xe6x\x8f\xee\xf2\xe9\xb8v\x12\xd7'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + '\144' + '\145')('\x75' + chr(0b1110100) + chr(4241 - 4139) + '\055' + chr(2665 - 2609)))(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81HX\xe4 \xb2\xe7\xd3\xcd\x96ZK'), chr(0b1100100) + chr(0b1100101) + chr(0b100000 + 0o103) + '\157' + chr(6811 - 6711) + '\x65')(chr(0b101011 + 0o112) + chr(116) + chr(296 - 194) + chr(0b101101) + chr(651 - 595))))) except RouZF7bjEXAv: zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9dC0\xec~\x9e\xe8\xeb\xeb\xa2o\x08\x83\xdew\xe4\xce\x85$T\xd8\x0c\xec#X\x0c\xa6\x94R\x90\xdf1z\xfe'), chr(100) + chr(101) + chr(0b10110 + 0o115) + chr(0b101110 + 0o101) + '\x64' + chr(0b1001100 + 0o31))(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(56))) finally: xafqLlk3kkUe(RXZDkg8jjDbw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x1cc\xe0d'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + '\x64' + '\145')('\x75' + '\x74' + chr(102) + '\055' + chr(2238 - 2182)))()
apache/incubator-mxnet	example/gluon/style_transfer/main.py	optimize	def optimize(args): """ Gatys et al. CVPR 2017 ref: Image Style Transfer Using Convolutional Neural Networks """ if args.cuda: ctx = mx.gpu(0) else: ctx = mx.cpu(0) # load the content and style target content_image = utils.tensor_load_rgbimage(args.content_image,ctx, size=args.content_size, keep_asp=True) content_image = utils.subtract_imagenet_mean_preprocess_batch(content_image) style_image = utils.tensor_load_rgbimage(args.style_image, ctx, size=args.style_size) style_image = utils.subtract_imagenet_mean_preprocess_batch(style_image) # load the pre-trained vgg-16 and extract features vgg = net.Vgg16() utils.init_vgg_params(vgg, 'models', ctx=ctx) # content feature f_xc_c = vgg(content_image)[1] # style feature features_style = vgg(style_image) gram_style = [net.gram_matrix(y) for y in features_style] # output output = Parameter('output', shape=content_image.shape) output.initialize(ctx=ctx) output.set_data(content_image) # optimizer trainer = gluon.Trainer([output], 'adam', {'learning_rate': args.lr}) mse_loss = gluon.loss.L2Loss() # optimizing the images for e in range(args.iters): utils.imagenet_clamp_batch(output.data(), 0, 255) # fix BN for pre-trained vgg with autograd.record(): features_y = vgg(output.data()) content_loss = 2 * args.content_weight * mse_loss(features_y[1], f_xc_c) style_loss = 0. for m in range(len(features_y)): gram_y = net.gram_matrix(features_y[m]) gram_s = gram_style[m] style_loss = style_loss + 2 * args.style_weight * mse_loss(gram_y, gram_s) total_loss = content_loss + style_loss total_loss.backward() trainer.step(1) if (e + 1) % args.log_interval == 0: print('loss:{:.2f}'.format(total_loss.asnumpy()[0])) # save the image output = utils.add_imagenet_mean_batch(output.data()) utils.tensor_save_bgrimage(output[0], args.output_image, args.cuda)	python	def optimize(args): """ Gatys et al. CVPR 2017 ref: Image Style Transfer Using Convolutional Neural Networks """ if args.cuda: ctx = mx.gpu(0) else: ctx = mx.cpu(0) # load the content and style target content_image = utils.tensor_load_rgbimage(args.content_image,ctx, size=args.content_size, keep_asp=True) content_image = utils.subtract_imagenet_mean_preprocess_batch(content_image) style_image = utils.tensor_load_rgbimage(args.style_image, ctx, size=args.style_size) style_image = utils.subtract_imagenet_mean_preprocess_batch(style_image) # load the pre-trained vgg-16 and extract features vgg = net.Vgg16() utils.init_vgg_params(vgg, 'models', ctx=ctx) # content feature f_xc_c = vgg(content_image)[1] # style feature features_style = vgg(style_image) gram_style = [net.gram_matrix(y) for y in features_style] # output output = Parameter('output', shape=content_image.shape) output.initialize(ctx=ctx) output.set_data(content_image) # optimizer trainer = gluon.Trainer([output], 'adam', {'learning_rate': args.lr}) mse_loss = gluon.loss.L2Loss() # optimizing the images for e in range(args.iters): utils.imagenet_clamp_batch(output.data(), 0, 255) # fix BN for pre-trained vgg with autograd.record(): features_y = vgg(output.data()) content_loss = 2 * args.content_weight * mse_loss(features_y[1], f_xc_c) style_loss = 0. for m in range(len(features_y)): gram_y = net.gram_matrix(features_y[m]) gram_s = gram_style[m] style_loss = style_loss + 2 * args.style_weight * mse_loss(gram_y, gram_s) total_loss = content_loss + style_loss total_loss.backward() trainer.step(1) if (e + 1) % args.log_interval == 0: print('loss:{:.2f}'.format(total_loss.asnumpy()[0])) # save the image output = utils.add_imagenet_mean_batch(output.data()) utils.tensor_save_bgrimage(output[0], args.output_image, args.cuda)	[ "def", "optimize", "(", "args", ")", ":", "if", "args", ".", "cuda", ":", "ctx", "=", "mx", ".", "gpu", "(", "0", ")", "else", ":", "ctx", "=", "mx", ".", "cpu", "(", "0", ")", "# load the content and style target", "content_image", "=", "utils", ".", "tensor_load_rgbimage", "(", "args", ".", "content_image", ",", "ctx", ",", "size", "=", "args", ".", "content_size", ",", "keep_asp", "=", "True", ")", "content_image", "=", "utils", ".", "subtract_imagenet_mean_preprocess_batch", "(", "content_image", ")", "style_image", "=", "utils", ".", "tensor_load_rgbimage", "(", "args", ".", "style_image", ",", "ctx", ",", "size", "=", "args", ".", "style_size", ")", "style_image", "=", "utils", ".", "subtract_imagenet_mean_preprocess_batch", "(", "style_image", ")", "# load the pre-trained vgg-16 and extract features", "vgg", "=", "net", ".", "Vgg16", "(", ")", "utils", ".", "init_vgg_params", "(", "vgg", ",", "'models'", ",", "ctx", "=", "ctx", ")", "# content feature", "f_xc_c", "=", "vgg", "(", "content_image", ")", "[", "1", "]", "# style feature", "features_style", "=", "vgg", "(", "style_image", ")", "gram_style", "=", "[", "net", ".", "gram_matrix", "(", "y", ")", "for", "y", "in", "features_style", "]", "# output", "output", "=", "Parameter", "(", "'output'", ",", "shape", "=", "content_image", ".", "shape", ")", "output", ".", "initialize", "(", "ctx", "=", "ctx", ")", "output", ".", "set_data", "(", "content_image", ")", "# optimizer", "trainer", "=", "gluon", ".", "Trainer", "(", "[", "output", "]", ",", "'adam'", ",", "{", "'learning_rate'", ":", "args", ".", "lr", "}", ")", "mse_loss", "=", "gluon", ".", "loss", ".", "L2Loss", "(", ")", "# optimizing the images", "for", "e", "in", "range", "(", "args", ".", "iters", ")", ":", "utils", ".", "imagenet_clamp_batch", "(", "output", ".", "data", "(", ")", ",", "0", ",", "255", ")", "# fix BN for pre-trained vgg", "with", "autograd", ".", "record", "(", ")", ":", "features_y", "=", "vgg", "(", "output", ".", "data", "(", ")", ")", "content_loss", "=", "2", "", "args", ".", "content_weight", "", "mse_loss", "(", "features_y", "[", "1", "]", ",", "f_xc_c", ")", "style_loss", "=", "0.", "for", "m", "in", "range", "(", "len", "(", "features_y", ")", ")", ":", "gram_y", "=", "net", ".", "gram_matrix", "(", "features_y", "[", "m", "]", ")", "gram_s", "=", "gram_style", "[", "m", "]", "style_loss", "=", "style_loss", "+", "2", "", "args", ".", "style_weight", "", "mse_loss", "(", "gram_y", ",", "gram_s", ")", "total_loss", "=", "content_loss", "+", "style_loss", "total_loss", ".", "backward", "(", ")", "trainer", ".", "step", "(", "1", ")", "if", "(", "e", "+", "1", ")", "%", "args", ".", "log_interval", "==", "0", ":", "print", "(", "'loss:{:.2f}'", ".", "format", "(", "total_loss", ".", "asnumpy", "(", ")", "[", "0", "]", ")", ")", "# save the image", "output", "=", "utils", ".", "add_imagenet_mean_batch", "(", "output", ".", "data", "(", ")", ")", "utils", ".", "tensor_save_bgrimage", "(", "output", "[", "0", "]", ",", "args", ".", "output_image", ",", "args", ".", "cuda", ")" ]	Gatys et al. CVPR 2017 ref: Image Style Transfer Using Convolutional Neural Networks	[ "Gatys", "et", "al", ".", "CVPR", "2017", "ref", ":", "Image", "Style", "Transfer", "Using", "Convolutional", "Neural", "Networks" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/style_transfer/main.py#L153-L204	train	Optimize the images using the image - style transfer using Convolutional Neural Networks	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(334 - 223) + '\x32' + chr(2080 - 2032), 0o10), ehT0Px3KOsy9(chr(1520 - 1472) + chr(9853 - 9742) + '\x33' + chr(0b110010) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110011) + chr(51), 20803 - 20795), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11139 - 11028) + chr(52) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(1138 - 1089) + chr(2536 - 2485), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(0b100101 + 0o14) + chr(0b110011) + chr(1114 - 1064), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10100 + 0o37) + chr(51) + chr(52), 44762 - 44754), ehT0Px3KOsy9(chr(1708 - 1660) + '\157' + chr(249 - 199) + chr(2346 - 2293), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35' + chr(2136 - 2082), 0o10), ehT0Px3KOsy9('\060' + chr(275 - 164) + chr(0b110010) + chr(0b110010) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110001) + '\x32', 58427 - 58419), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o35) + chr(52) + chr(50), 3309 - 3301), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\067' + chr(53), 57830 - 57822), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(0b11 + 0o56) + '\x30' + chr(59 - 11), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(2431 - 2380) + chr(1987 - 1935), 9696 - 9688), ehT0Px3KOsy9(chr(2223 - 2175) + chr(111) + chr(0b110010) + chr(0b110111) + chr(338 - 288), 25377 - 25369), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10011 + 0o36) + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7570 - 7459) + chr(0b1100 + 0o53) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x37' + chr(2499 - 2444), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\x35' + chr(0b101110 + 0o10), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(49) + '\061' + chr(424 - 371), 37643 - 37635), ehT0Px3KOsy9('\060' + chr(4290 - 4179) + chr(51) + '\x33' + chr(821 - 767), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(1868 - 1819) + chr(55), 41990 - 41982), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\061' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100101 + 0o16) + chr(0b1101 + 0o46) + '\x36', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(55) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5803 - 5692) + '\x32' + '\x32' + '\x37', 14036 - 14028), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o40) + chr(0b110001) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(1973 - 1924) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + chr(0b11101 + 0o26) + '\067' + chr(55), 0b1000), ehT0Px3KOsy9(chr(1108 - 1060) + '\157' + chr(50) + '\067' + '\062', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1630 - 1581) + chr(0b110000) + chr(0b101001 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3762 - 3651) + chr(0b110011) + chr(0b110001) + '\063', 8), ehT0Px3KOsy9(chr(117 - 69) + chr(111) + '\062' + '\x32' + chr(1755 - 1702), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(49) + '\x35', 8), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110110) + chr(2270 - 2219), 51965 - 51957), ehT0Px3KOsy9(chr(2275 - 2227) + chr(0b111011 + 0o64) + chr(0b10001 + 0o41) + chr(0b11001 + 0o30), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10100 + 0o36) + chr(0b110011) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(5514 - 5403) + chr(49) + chr(0b110011) + '\x37', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(0b110000), 55868 - 55860)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), chr(0b1100100) + '\145' + '\143' + chr(111) + chr(4587 - 4487) + '\145')('\165' + chr(9173 - 9057) + '\x66' + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def M4lwI8bLCQGq(kJDRfRhcZHjS): if xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b's\xa7\xffE'), chr(100) + chr(10115 - 10014) + chr(99) + '\x6f' + chr(100) + '\145')(chr(0b1110101) + chr(116) + chr(0b1011011 + 0o13) + chr(96 - 51) + chr(56))): oM3jLo753XfX = CIVheOt0RKQX.gpu(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 11859 - 11851)) else: oM3jLo753XfX = CIVheOt0RKQX.cpu(ehT0Px3KOsy9(chr(202 - 154) + chr(0b1001000 + 0o47) + chr(0b100110 + 0o12), 8)) MATFHUz4vOlp = bdVxKm4tezOp.tensor_load_rgbimage(kJDRfRhcZHjS.content_image, oM3jLo753XfX, size=kJDRfRhcZHjS.content_size, keep_asp=ehT0Px3KOsy9('\060' + chr(5029 - 4918) + '\x31', 0b1000)) MATFHUz4vOlp = bdVxKm4tezOp.subtract_imagenet_mean_preprocess_batch(MATFHUz4vOlp) zeiHTKH8T_Vs = bdVxKm4tezOp.tensor_load_rgbimage(kJDRfRhcZHjS.style_image, oM3jLo753XfX, size=kJDRfRhcZHjS.style_size) zeiHTKH8T_Vs = bdVxKm4tezOp.subtract_imagenet_mean_preprocess_batch(zeiHTKH8T_Vs) M1MareyFmiLc = DyzboKL9cczb.Vgg16() xafqLlk3kkUe(bdVxKm4tezOp, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xbc\xf2P\x94,\xbbrq\xe0k\x10\x9c-\xef'), '\144' + chr(0b100010 + 0o103) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')('\x75' + chr(116) + chr(5753 - 5651) + chr(0b101101) + chr(659 - 603)))(M1MareyFmiLc, xafqLlk3kkUe(SXOLrMavuUCe(b'}\xbd\xffA\xa7)'), chr(0b1100100) + chr(0b1100101) + chr(0b101101 + 0o66) + chr(0b10001 + 0o136) + chr(100) + chr(0b1010011 + 0o22))('\x75' + '\164' + '\x66' + '\055' + '\x38'), ctx=oM3jLo753XfX) CwA6s92Ts_zf = M1MareyFmiLc(MATFHUz4vOlp)[ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(49), 8)] Es6ZIrBORDQM = M1MareyFmiLc(zeiHTKH8T_Vs) P0pyTLdafjZL = [DyzboKL9cczb.gram_matrix(SqiSOtYOqOJH) for SqiSOtYOqOJH in Es6ZIrBORDQM] e1jVqMSBZ01Y = nMgOEEwEsXHn(xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa7\xefT\xbe.'), chr(0b1100100) + chr(8706 - 8605) + chr(99) + chr(111) + chr(3896 - 3796) + '\x65')('\x75' + '\164' + chr(0b100001 + 0o105) + chr(0b1101 + 0o40) + chr(0b111000)), shape=MATFHUz4vOlp.nauYfLglTpcb) xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xbc\xf2P\xa2;\xb0\|T\xf5'), '\x64' + chr(0b1100101) + chr(0b11111 + 0o104) + chr(3224 - 3113) + chr(100) + chr(101))(chr(4037 - 3920) + chr(0b1000 + 0o154) + chr(102) + chr(450 - 405) + '\x38'))(ctx=oM3jLo753XfX) xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'c\xb7\xef{\xaf;\xa8t'), chr(4564 - 4464) + '\x65' + chr(0b1000001 + 0o42) + chr(0b1110 + 0o141) + chr(0b110 + 0o136) + chr(0b1100101))('\165' + chr(2997 - 2881) + '\146' + '\x2d' + '\070'))(MATFHUz4vOlp) ehTF8dweL_Oo = Bm3NCCYMMXjd.Trainer([e1jVqMSBZ01Y], xafqLlk3kkUe(SXOLrMavuUCe(b'q\xb6\xfaI'), chr(0b11 + 0o141) + chr(101) + '\143' + chr(0b1101110 + 0o1) + chr(6751 - 6651) + chr(0b110100 + 0o61))(chr(6316 - 6199) + '\164' + chr(0b1100110) + chr(45) + chr(189 - 133)), {xafqLlk3kkUe(SXOLrMavuUCe(b'\|\xb7\xfaV\xa53\xb2rq\xe2k\x16\x98'), chr(0b1100100) + chr(101) + '\x63' + chr(4569 - 4458) + chr(0b110110 + 0o56) + chr(523 - 422))('\165' + chr(11921 - 11805) + '\x66' + chr(0b101101) + '\x38'): kJDRfRhcZHjS.Zzs55KO_HKfp}) YLc3Z261EwU1 = Bm3NCCYMMXjd.loss.L2Loss() for GlnVAPeT6CUe in vQr8gNKaIaWE(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xa6\xfeV\xb8'), chr(0b1100100) + '\x65' + chr(7010 - 6911) + chr(4729 - 4618) + chr(0b1100100) + chr(8435 - 8334))(chr(0b1110101) + chr(0b1001010 + 0o52) + '\146' + chr(45) + chr(56)))): xafqLlk3kkUe(bdVxKm4tezOp, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xbf\xfaC\xae4\xb9aq\xf3f\x03\x900\xc3\xd89H\x1cF'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(9201 - 9101) + '\145')('\165' + '\x74' + chr(1042 - 940) + '\055' + chr(0b110000 + 0o10)))(xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x9e\xf5N\xbbl\x98#K\xf6L'), chr(100) + chr(101) + chr(5776 - 5677) + chr(0b1011101 + 0o22) + '\144' + chr(101))(chr(0b1100100 + 0o21) + chr(116) + chr(102) + '\x2d' + '\x38'))(), ehT0Px3KOsy9(chr(1600 - 1552) + chr(0b1101111) + chr(1558 - 1510), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o51) + chr(55) + '\x37', 8)) with xafqLlk3kkUe(EGX9rjIuh37Q, xafqLlk3kkUe(SXOLrMavuUCe(b'b\xb7\xf8K\xb9>'), '\144' + chr(101) + '\x63' + '\x6f' + chr(2007 - 1907) + chr(0b10001 + 0o124))('\165' + '\x74' + chr(8295 - 8193) + '\x2d' + chr(0b100 + 0o64)))(): fYTrwb5br3un = M1MareyFmiLc(e1jVqMSBZ01Y.ULnjp6D6efFH()) MtMTxS0quYiz = ehT0Px3KOsy9('\x30' + '\157' + chr(50), 0o10) kJDRfRhcZHjS.content_weight * YLc3Z261EwU1(fYTrwb5br3un[ehT0Px3KOsy9('\060' + '\157' + chr(49), 8)], CwA6s92Ts_zf) _Bz17weR2EKm = 0.0 for r8ufID9JCHnI in vQr8gNKaIaWE(c2A0yzQpDQB3(fYTrwb5br3un)): kHBGkot9EOb9 = DyzboKL9cczb.gram_matrix(fYTrwb5br3un[r8ufID9JCHnI]) pQ46c3FidJ4l = P0pyTLdafjZL[r8ufID9JCHnI] _Bz17weR2EKm = _Bz17weR2EKm + ehT0Px3KOsy9(chr(1603 - 1555) + chr(0b1100101 + 0o12) + '\062', 8) * kJDRfRhcZHjS.style_weight * YLc3Z261EwU1(kHBGkot9EOb9, pQ46c3FidJ4l) f2kTSn7J2DWY = MtMTxS0quYiz + _Bz17weR2EKm xafqLlk3kkUe(f2kTSn7J2DWY, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xb3\xf8O\xbc;\xaeq'), chr(0b110101 + 0o57) + chr(6909 - 6808) + '\x63' + chr(0b1101111) + chr(1254 - 1154) + '\145')(chr(0b1100111 + 0o16) + chr(7957 - 7841) + '\146' + chr(0b100001 + 0o14) + chr(0b111000)))() xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'{\x96\xeeb\xb8\x1b\xb4PO\xe4i7'), '\144' + chr(7358 - 7257) + chr(0b1001001 + 0o32) + chr(0b1101111) + chr(100) + chr(9535 - 9434))(chr(117) + chr(0b1110100) + chr(0b1010101 + 0o21) + '\055' + chr(0b101001 + 0o17)))(ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\061', 8)) if (GlnVAPeT6CUe + ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o22), 8)) % xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\|\xbd\xfc{\xa24\xa8p\\\xe6k\x0e'), chr(2717 - 2617) + chr(101) + chr(8200 - 8101) + chr(0b1101100 + 0o3) + chr(2653 - 2553) + chr(0b1 + 0o144))('\165' + '\x74' + chr(102) + chr(0b101101) + '\x38')) == ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8): zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\|\xbd\xe8W\xf1!\xe6;\x1c\xf6w'), '\144' + chr(0b1010001 + 0o24) + chr(554 - 455) + chr(111) + chr(100) + chr(0b11 + 0o142))('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000 + 0o0)), xafqLlk3kkUe(SXOLrMavuUCe(b'F\xe6\xe9K\x83;\x8f&~\xe0o\x08'), '\144' + '\145' + chr(0b1011101 + 0o6) + '\x6f' + chr(8674 - 8574) + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(f2kTSn7J2DWY, xafqLlk3kkUe(SXOLrMavuUCe(b'q\xa1\xf5Q\xa6*\xa5'), '\144' + chr(101) + '\x63' + chr(3580 - 3469) + chr(0b10110 + 0o116) + chr(0b100000 + 0o105))(chr(117) + '\164' + chr(0b1001110 + 0o30) + chr(45) + chr(0b111000)))()[ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8)])) e1jVqMSBZ01Y = bdVxKm4tezOp.add_imagenet_mean_batch(e1jVqMSBZ01Y.ULnjp6D6efFH()) xafqLlk3kkUe(bdVxKm4tezOp, xafqLlk3kkUe(SXOLrMavuUCe(b"d\xb7\xf5W\xa4(\x83fO\xe6o=\x9f'\xee\xd35]\x18K"), chr(0b101111 + 0o65) + chr(0b11111 + 0o106) + chr(99) + chr(111) + chr(0b1100100) + chr(293 - 192))(chr(0b1110101) + chr(0b1001011 + 0o51) + chr(2618 - 2516) + chr(45) + chr(56)))(e1jVqMSBZ01Y[ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\x30', 8)], xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa7\xefT\xbe.\x83\|C\xf1m\x07'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b11111 + 0o105) + chr(2240 - 2139))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000))), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b's\xa7\xffE'), chr(0b110110 + 0o56) + '\x65' + '\143' + '\x6f' + '\144' + '\145')(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b110110 + 0o2))))
apache/incubator-mxnet	example/bayesian-methods/bdk_demo.py	get_mnist_sym	def get_mnist_sym(output_op=None, num_hidden=400): """Get symbol of mnist""" net = mx.symbol.Variable('data') net = mx.symbol.FullyConnected(data=net, name='mnist_fc1', num_hidden=num_hidden) net = mx.symbol.Activation(data=net, name='mnist_relu1', act_type="relu") net = mx.symbol.FullyConnected(data=net, name='mnist_fc2', num_hidden=num_hidden) net = mx.symbol.Activation(data=net, name='mnist_relu2', act_type="relu") net = mx.symbol.FullyConnected(data=net, name='mnist_fc3', num_hidden=10) if output_op is None: net = mx.symbol.SoftmaxOutput(data=net, name='softmax') else: net = output_op(data=net, name='softmax') return net	python	def get_mnist_sym(output_op=None, num_hidden=400): """Get symbol of mnist""" net = mx.symbol.Variable('data') net = mx.symbol.FullyConnected(data=net, name='mnist_fc1', num_hidden=num_hidden) net = mx.symbol.Activation(data=net, name='mnist_relu1', act_type="relu") net = mx.symbol.FullyConnected(data=net, name='mnist_fc2', num_hidden=num_hidden) net = mx.symbol.Activation(data=net, name='mnist_relu2', act_type="relu") net = mx.symbol.FullyConnected(data=net, name='mnist_fc3', num_hidden=10) if output_op is None: net = mx.symbol.SoftmaxOutput(data=net, name='softmax') else: net = output_op(data=net, name='softmax') return net	[ "def", "get_mnist_sym", "(", "output_op", "=", "None", ",", "num_hidden", "=", "400", ")", ":", "net", "=", "mx", ".", "symbol", ".", "Variable", "(", "'data'", ")", "net", "=", "mx", ".", "symbol", ".", "FullyConnected", "(", "data", "=", "net", ",", "name", "=", "'mnist_fc1'", ",", "num_hidden", "=", "num_hidden", ")", "net", "=", "mx", ".", "symbol", ".", "Activation", "(", "data", "=", "net", ",", "name", "=", "'mnist_relu1'", ",", "act_type", "=", "\"relu\"", ")", "net", "=", "mx", ".", "symbol", ".", "FullyConnected", "(", "data", "=", "net", ",", "name", "=", "'mnist_fc2'", ",", "num_hidden", "=", "num_hidden", ")", "net", "=", "mx", ".", "symbol", ".", "Activation", "(", "data", "=", "net", ",", "name", "=", "'mnist_relu2'", ",", "act_type", "=", "\"relu\"", ")", "net", "=", "mx", ".", "symbol", ".", "FullyConnected", "(", "data", "=", "net", ",", "name", "=", "'mnist_fc3'", ",", "num_hidden", "=", "10", ")", "if", "output_op", "is", "None", ":", "net", "=", "mx", ".", "symbol", ".", "SoftmaxOutput", "(", "data", "=", "net", ",", "name", "=", "'softmax'", ")", "else", ":", "net", "=", "output_op", "(", "data", "=", "net", ",", "name", "=", "'softmax'", ")", "return", "net" ]	Get symbol of mnist	[ "Get", "symbol", "of", "mnist" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/bdk_demo.py#L106-L118	train	Get symbol of mnist	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' + '\x33' + chr(0b110100) + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101010 + 0o10) + chr(49) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + '\x33' + chr(1884 - 1834) + '\061', 46606 - 46598), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b110101) + chr(0b110000 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b110011) + '\x35' + chr(0b11101 + 0o30), 28657 - 28649), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\065' + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101101 + 0o5) + chr(1750 - 1699) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(90 - 35), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x34' + '\066', 0b1000), ehT0Px3KOsy9(chr(1197 - 1149) + '\x6f' + chr(50) + chr(48) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b110011) + '\067' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x32' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o47) + '\061' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(11471 - 11360) + '\x31' + chr(0b110011) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3970 - 3859) + chr(0b110010) + '\064' + '\061', 51621 - 51613), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1 + 0o61) + '\x31' + chr(51), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\x34' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110101 + 0o2) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b0 + 0o62) + '\065' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b100000 + 0o23) + '\x36' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x30' + chr(1345 - 1295), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b101111 + 0o3) + chr(0b11100 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + chr(2887 - 2776) + '\x33' + chr(0b100101 + 0o14) + chr(1645 - 1594), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b110011) + chr(0b110110) + chr(910 - 861), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\x31' + '\067' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(1353 - 1302) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(48) + chr(0b11000 + 0o34), 0b1000), ehT0Px3KOsy9(chr(2186 - 2138) + chr(111) + '\062' + '\060' + chr(55), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(55) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10635 - 10524) + chr(50) + chr(0b10011 + 0o37) + '\x32', 32566 - 32558), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100111 + 0o12) + '\x36' + chr(50), 26711 - 26703), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + '\061' + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(5571 - 5460) + chr(2129 - 2078) + chr(983 - 935) + chr(0b110111), 28887 - 28879), ehT0Px3KOsy9('\060' + '\x6f' + chr(808 - 757) + chr(0b110100) + chr(0b0 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(1770 - 1722) + '\x6f' + chr(0b1100 + 0o46) + chr(49) + chr(52), 0o10), ehT0Px3KOsy9(chr(547 - 499) + chr(0b1101111) + chr(49) + '\x34' + chr(0b110001), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1100101 + 0o12) + chr(0b101011 + 0o12) + chr(0b110000), 13824 - 13816)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xca'), chr(4587 - 4487) + chr(4603 - 4502) + '\143' + chr(0b1101111) + chr(0b110010 + 0o62) + '\x65')(chr(0b1110101) + chr(12783 - 12667) + chr(0b1100100 + 0o2) + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def pHUme4b___ZM(pD0fOGOwDNMj=None, ErqkiO20_RGX=ehT0Px3KOsy9(chr(850 - 802) + chr(7784 - 7673) + chr(0b11100 + 0o32) + chr(1382 - 1332) + chr(0b11001 + 0o27), 550 - 542)): DyzboKL9cczb = CIVheOt0RKQX.symbol.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\xe9\xa5O'), chr(100) + chr(0b110100 + 0o61) + chr(663 - 564) + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))) DyzboKL9cczb = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xe6\xb8]\x99\xf0V\xfc&'), chr(0b1001 + 0o133) + '\x65' + chr(0b1010011 + 0o20) + chr(12075 - 11964) + '\144' + chr(3457 - 3356))('\x75' + chr(0b101111 + 0o105) + '\x66' + '\x2d' + chr(56)), num_hidden=ErqkiO20_RGX) DyzboKL9cczb = CIVheOt0RKQX.symbol.Activation(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xe6\xb8]\x99\xf0B\xfa{S\xb6'), chr(0b1100100) + '\x65' + chr(0b1010100 + 0o17) + chr(0b1100011 + 0o14) + chr(100) + chr(101))(chr(0b1101100 + 0o11) + chr(0b1110100) + '\x66' + chr(1978 - 1933) + '\070'), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xed\xbd['), chr(9087 - 8987) + '\145' + chr(99) + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + '\x74' + '\146' + chr(0b10000 + 0o35) + '\070')) DyzboKL9cczb = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xe6\xb8]\x99\xf0V\xfc%'), chr(100) + '\x65' + chr(4679 - 4580) + chr(0b1100111 + 0o10) + chr(0b1100100) + chr(0b1011101 + 0o10))(chr(117) + chr(116) + '\146' + chr(623 - 578) + chr(56)), num_hidden=ErqkiO20_RGX) DyzboKL9cczb = CIVheOt0RKQX.symbol.Activation(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xe6\xb8]\x99\xf0B\xfa{S\xb5'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b10101 + 0o140) + chr(0b1101011 + 0o11) + '\x66' + chr(1092 - 1047) + chr(0b111000)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xed\xbd['), chr(0b111111 + 0o45) + chr(8568 - 8467) + '\x63' + chr(111) + chr(7279 - 7179) + chr(101))(chr(0b1110101) + '\164' + '\146' + '\055' + '\x38')) DyzboKL9cczb = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xe6\xb8]\x99\xf0V\xfc$'), '\x64' + '\145' + '\x63' + chr(12156 - 12045) + '\x64' + chr(0b1100 + 0o131))(chr(1320 - 1203) + chr(116) + chr(102) + chr(0b11010 + 0o23) + chr(0b111000)), num_hidden=ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110001) + '\x32', 0b1000)) if pD0fOGOwDNMj is None: DyzboKL9cczb = CIVheOt0RKQX.symbol.SoftmaxOutput(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\xe7\xb7Z\x80\xceH'), chr(0b1100100) + chr(8317 - 8216) + chr(99) + chr(111) + chr(0b1011110 + 0o6) + chr(101))(chr(7427 - 7310) + '\164' + chr(0b1010111 + 0o17) + chr(1708 - 1663) + chr(56))) else: DyzboKL9cczb = pD0fOGOwDNMj(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\xe7\xb7Z\x80\xceH'), chr(0b1100100) + '\145' + chr(99) + chr(0b1010111 + 0o30) + chr(0b101 + 0o137) + chr(0b100111 + 0o76))('\165' + '\164' + '\146' + '\055' + '\070')) return DyzboKL9cczb
apache/incubator-mxnet	example/bayesian-methods/bdk_demo.py	synthetic_grad	def synthetic_grad(X, theta, sigma1, sigma2, sigmax, rescale_grad=1.0, grad=None): """Get synthetic gradient value""" if grad is None: grad = nd.empty(theta.shape, theta.context) theta1 = theta.asnumpy()[0] theta2 = theta.asnumpy()[1] v1 = sigma1 2 v2 = sigma2 2 vx = sigmax 2 denominator = numpy.exp(-(X - theta1) 2 / (2 * vx)) + numpy.exp( -(X - theta1 - theta2) ** 2 / (2 * vx)) grad_npy = numpy.zeros(theta.shape) grad_npy[0] = -rescale_grad * ((numpy.exp(-(X - theta1) ** 2 / (2 * vx)) * (X - theta1) / vx + numpy.exp(-(X - theta1 - theta2) ** 2 / (2 * vx)) * (X - theta1 - theta2) / vx) / denominator).sum() + theta1 / v1 grad_npy[1] = -rescale_grad * ((numpy.exp(-(X - theta1 - theta2) ** 2 / (2 * vx)) * (X - theta1 - theta2) / vx) / denominator).sum() + theta2 / v2 grad[:] = grad_npy return grad	python	def synthetic_grad(X, theta, sigma1, sigma2, sigmax, rescale_grad=1.0, grad=None): """Get synthetic gradient value""" if grad is None: grad = nd.empty(theta.shape, theta.context) theta1 = theta.asnumpy()[0] theta2 = theta.asnumpy()[1] v1 = sigma1 2 v2 = sigma2 2 vx = sigmax 2 denominator = numpy.exp(-(X - theta1) 2 / (2 * vx)) + numpy.exp( -(X - theta1 - theta2) ** 2 / (2 * vx)) grad_npy = numpy.zeros(theta.shape) grad_npy[0] = -rescale_grad * ((numpy.exp(-(X - theta1) ** 2 / (2 * vx)) * (X - theta1) / vx + numpy.exp(-(X - theta1 - theta2) ** 2 / (2 * vx)) * (X - theta1 - theta2) / vx) / denominator).sum() + theta1 / v1 grad_npy[1] = -rescale_grad * ((numpy.exp(-(X - theta1 - theta2) ** 2 / (2 * vx)) * (X - theta1 - theta2) / vx) / denominator).sum() + theta2 / v2 grad[:] = grad_npy return grad	[ "def", "synthetic_grad", "(", "X", ",", "theta", ",", "sigma1", ",", "sigma2", ",", "sigmax", ",", "rescale_grad", "=", "1.0", ",", "grad", "=", "None", ")", ":", "if", "grad", "is", "None", ":", "grad", "=", "nd", ".", "empty", "(", "theta", ".", "shape", ",", "theta", ".", "context", ")", "theta1", "=", "theta", ".", "asnumpy", "(", ")", "[", "0", "]", "theta2", "=", "theta", ".", "asnumpy", "(", ")", "[", "1", "]", "v1", "=", "sigma1", "", "2", "v2", "=", "sigma2", "", "2", "vx", "=", "sigmax", "", "2", "denominator", "=", "numpy", ".", "exp", "(", "-", "(", "X", "-", "theta1", ")", "", "2", "/", "(", "2", "", "vx", ")", ")", "+", "numpy", ".", "exp", "(", "-", "(", "X", "-", "theta1", "-", "theta2", ")", "", "2", "/", "(", "2", "", "vx", ")", ")", "grad_npy", "=", "numpy", ".", "zeros", "(", "theta", ".", "shape", ")", "grad_npy", "[", "0", "]", "=", "-", "rescale_grad", "", "(", "(", "numpy", ".", "exp", "(", "-", "(", "X", "-", "theta1", ")", "", "2", "/", "(", "2", "", "vx", ")", ")", "", "(", "X", "-", "theta1", ")", "/", "vx", "+", "numpy", ".", "exp", "(", "-", "(", "X", "-", "theta1", "-", "theta2", ")", "", "2", "/", "(", "2", "", "vx", ")", ")", "", "(", "X", "-", "theta1", "-", "theta2", ")", "/", "vx", ")", "/", "denominator", ")", ".", "sum", "(", ")", "+", "theta1", "/", "v1", "grad_npy", "[", "1", "]", "=", "-", "rescale_grad", "", "(", "(", "numpy", ".", "exp", "(", "-", "(", "X", "-", "theta1", "-", "theta2", ")", "*", "2", "/", "(", "2", "", "vx", ")", ")", "*", "(", "X", "-", "theta1", "-", "theta2", ")", "/", "vx", ")", "/", "denominator", ")", ".", "sum", "(", ")", "+", "theta2", "/", "v2", "grad", "[", ":", "]", "=", "grad_npy", "return", "grad" ]	Get synthetic gradient value	[ "Get", "synthetic", "gradient", "value" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/bdk_demo.py#L121-L139	train	Get synthetic gradient 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(0b110000) + chr(0b1111 + 0o140) + '\062' + chr(0b110101) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10000 + 0o43) + chr(0b11110 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1100110 + 0o11) + chr(0b110101), 33753 - 33745), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(711 - 660) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10010 + 0o37) + chr(0b110101 + 0o1) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b110000) + chr(0b101001 + 0o7), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2228 - 2179) + chr(848 - 800) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1107 - 1059) + chr(0b1000111 + 0o50) + chr(51) + chr(53) + chr(0b101010 + 0o7), 54527 - 54519), ehT0Px3KOsy9(chr(0b110000) + chr(5767 - 5656) + '\x32' + '\065' + '\x37', 3962 - 3954), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + '\x31' + chr(0b110001) + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9(chr(855 - 807) + '\x6f' + chr(0b110001) + chr(690 - 636) + chr(55), 0o10), ehT0Px3KOsy9(chr(723 - 675) + '\x6f' + '\064' + chr(0b10000 + 0o47), 32985 - 32977), ehT0Px3KOsy9(chr(0b110000) + chr(7264 - 7153) + chr(1034 - 984) + '\067' + chr(0b101101 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101100 + 0o5) + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110110) + chr(1402 - 1350), 0b1000), ehT0Px3KOsy9(chr(2059 - 2011) + '\x6f' + chr(2003 - 1954) + chr(55) + chr(50), 47676 - 47668), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(601 - 552) + chr(1953 - 1902) + '\x31', 23255 - 23247), ehT0Px3KOsy9(chr(1286 - 1238) + chr(519 - 408) + '\x33' + '\063' + chr(0b100010 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + '\063' + chr(0b1011 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\x32' + chr(900 - 850) + chr(0b0 + 0o67), 54307 - 54299), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(619 - 569) + '\x35' + chr(52), 30993 - 30985), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(51) + chr(1465 - 1415) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(0b101000 + 0o13) + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b100001 + 0o22) + chr(0b110100), 22672 - 22664), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x32' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1907 - 1858) + chr(48) + chr(683 - 634), 14281 - 14273), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10101 + 0o35) + '\065' + chr(1171 - 1122), 0o10), ehT0Px3KOsy9(chr(906 - 858) + chr(10899 - 10788) + chr(0b110010) + '\064' + '\x30', 0b1000), ehT0Px3KOsy9(chr(1300 - 1252) + chr(0b110100 + 0o73) + chr(2276 - 2227) + chr(0b110110) + '\x32', 31304 - 31296), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b110011) + chr(0b110101), 4247 - 4239), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101010 + 0o11) + chr(0b11011 + 0o31) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\066' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x35' + '\x31', 8), ehT0Px3KOsy9(chr(719 - 671) + chr(4580 - 4469) + chr(1625 - 1576) + chr(470 - 419) + chr(160 - 106), 43865 - 43857), ehT0Px3KOsy9('\x30' + chr(5025 - 4914) + '\x37' + chr(0b11110 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x37', 6404 - 6396), ehT0Px3KOsy9('\060' + '\x6f' + chr(52) + chr(1146 - 1093), 63877 - 63869), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b100011 + 0o15), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110110) + chr(48), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(53) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x80'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + chr(100) + chr(8369 - 8268))(chr(0b1110101) + chr(362 - 246) + chr(102) + chr(45) + chr(560 - 504)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def AIHzbkuld8Ni(xEgrFJ0REugl, E2KkDYRi6XTa, _y2EjpvmR_ku, j5WbCra75onG, ye6IkbD5qK1W, YSz6oP1ujznD=1.0, RF_2NucJiY7o=None): if RF_2NucJiY7o is None: RF_2NucJiY7o = Vy_CFRcuYrTj.empty(E2KkDYRi6XTa.nauYfLglTpcb, E2KkDYRi6XTa.context) _RcyVnTvGwpB = E2KkDYRi6XTa.asnumpy()[ehT0Px3KOsy9(chr(48) + chr(5604 - 5493) + '\060', 0o10)] jMbPw3dUH_aq = E2KkDYRi6XTa.asnumpy()[ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o53), ord("\x08"))] YmVdzeODYWYp = _y2EjpvmR_ku ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1954 - 1904), 40460 - 40452) veJ2cNbo0zzI = j5WbCra75onG ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b100101 + 0o112) + '\x32', 8) YSjWQyajjy3L = ye6IkbD5qK1W ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(1128 - 1078), 8) _3KzXtQsvH6S = n8mpNwkrxOdz.exp(-(xEgrFJ0REugl - _RcyVnTvGwpB) ehT0Px3KOsy9('\x30' + '\157' + chr(1388 - 1338), 8) / (ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b110010), 8) * YSjWQyajjy3L)) + n8mpNwkrxOdz.exp(-(xEgrFJ0REugl - _RcyVnTvGwpB - jMbPw3dUH_aq) ** ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101111 + 0o3), 8) / (ehT0Px3KOsy9(chr(2062 - 2014) + '\x6f' + chr(0b110010), 8) * YSjWQyajjy3L)) tHYiQqH_stjM = n8mpNwkrxOdz.zeros(E2KkDYRi6XTa.nauYfLglTpcb) tHYiQqH_stjM[ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(0b100 + 0o54), 8)] = -YSz6oP1ujznD * ((n8mpNwkrxOdz.exp(-(xEgrFJ0REugl - _RcyVnTvGwpB) ** ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\062', 8) / (ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50), 8) * YSjWQyajjy3L)) * (xEgrFJ0REugl - _RcyVnTvGwpB) / YSjWQyajjy3L + n8mpNwkrxOdz.exp(-(xEgrFJ0REugl - _RcyVnTvGwpB - jMbPw3dUH_aq) ** ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(50), 8) / (ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b100011 + 0o17), 8) * YSjWQyajjy3L)) * (xEgrFJ0REugl - _RcyVnTvGwpB - jMbPw3dUH_aq) / YSjWQyajjy3L) / _3KzXtQsvH6S).xkxBmo49x2An() + _RcyVnTvGwpB / YmVdzeODYWYp tHYiQqH_stjM[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001 + 0o0), 8)] = -YSz6oP1ujznD * (n8mpNwkrxOdz.exp(-(xEgrFJ0REugl - _RcyVnTvGwpB - jMbPw3dUH_aq) ** ehT0Px3KOsy9(chr(48) + chr(6583 - 6472) + chr(115 - 65), 8) / (ehT0Px3KOsy9('\x30' + chr(11679 - 11568) + chr(50), 8) * YSjWQyajjy3L)) * (xEgrFJ0REugl - _RcyVnTvGwpB - jMbPw3dUH_aq) / YSjWQyajjy3L / _3KzXtQsvH6S).xkxBmo49x2An() + jMbPw3dUH_aq / veJ2cNbo0zzI RF_2NucJiY7o[:] = tHYiQqH_stjM return RF_2NucJiY7o
apache/incubator-mxnet	example/bayesian-methods/bdk_demo.py	get_toy_sym	def get_toy_sym(teacher=True, teacher_noise_precision=None): """Get toy symbol""" if teacher: net = mx.symbol.Variable('data') net = mx.symbol.FullyConnected(data=net, name='teacher_fc1', num_hidden=100) net = mx.symbol.Activation(data=net, name='teacher_relu1', act_type="relu") net = mx.symbol.FullyConnected(data=net, name='teacher_fc2', num_hidden=1) net = mx.symbol.LinearRegressionOutput(data=net, name='teacher_output', grad_scale=teacher_noise_precision) else: net = mx.symbol.Variable('data') net = mx.symbol.FullyConnected(data=net, name='student_fc1', num_hidden=100) net = mx.symbol.Activation(data=net, name='student_relu1', act_type="relu") student_mean = mx.symbol.FullyConnected(data=net, name='student_mean', num_hidden=1) student_var = mx.symbol.FullyConnected(data=net, name='student_var', num_hidden=1) net = mx.symbol.Group([student_mean, student_var]) return net	python	def get_toy_sym(teacher=True, teacher_noise_precision=None): """Get toy symbol""" if teacher: net = mx.symbol.Variable('data') net = mx.symbol.FullyConnected(data=net, name='teacher_fc1', num_hidden=100) net = mx.symbol.Activation(data=net, name='teacher_relu1', act_type="relu") net = mx.symbol.FullyConnected(data=net, name='teacher_fc2', num_hidden=1) net = mx.symbol.LinearRegressionOutput(data=net, name='teacher_output', grad_scale=teacher_noise_precision) else: net = mx.symbol.Variable('data') net = mx.symbol.FullyConnected(data=net, name='student_fc1', num_hidden=100) net = mx.symbol.Activation(data=net, name='student_relu1', act_type="relu") student_mean = mx.symbol.FullyConnected(data=net, name='student_mean', num_hidden=1) student_var = mx.symbol.FullyConnected(data=net, name='student_var', num_hidden=1) net = mx.symbol.Group([student_mean, student_var]) return net	[ "def", "get_toy_sym", "(", "teacher", "=", "True", ",", "teacher_noise_precision", "=", "None", ")", ":", "if", "teacher", ":", "net", "=", "mx", ".", "symbol", ".", "Variable", "(", "'data'", ")", "net", "=", "mx", ".", "symbol", ".", "FullyConnected", "(", "data", "=", "net", ",", "name", "=", "'teacher_fc1'", ",", "num_hidden", "=", "100", ")", "net", "=", "mx", ".", "symbol", ".", "Activation", "(", "data", "=", "net", ",", "name", "=", "'teacher_relu1'", ",", "act_type", "=", "\"relu\"", ")", "net", "=", "mx", ".", "symbol", ".", "FullyConnected", "(", "data", "=", "net", ",", "name", "=", "'teacher_fc2'", ",", "num_hidden", "=", "1", ")", "net", "=", "mx", ".", "symbol", ".", "LinearRegressionOutput", "(", "data", "=", "net", ",", "name", "=", "'teacher_output'", ",", "grad_scale", "=", "teacher_noise_precision", ")", "else", ":", "net", "=", "mx", ".", "symbol", ".", "Variable", "(", "'data'", ")", "net", "=", "mx", ".", "symbol", ".", "FullyConnected", "(", "data", "=", "net", ",", "name", "=", "'student_fc1'", ",", "num_hidden", "=", "100", ")", "net", "=", "mx", ".", "symbol", ".", "Activation", "(", "data", "=", "net", ",", "name", "=", "'student_relu1'", ",", "act_type", "=", "\"relu\"", ")", "student_mean", "=", "mx", ".", "symbol", ".", "FullyConnected", "(", "data", "=", "net", ",", "name", "=", "'student_mean'", ",", "num_hidden", "=", "1", ")", "student_var", "=", "mx", ".", "symbol", ".", "FullyConnected", "(", "data", "=", "net", ",", "name", "=", "'student_var'", ",", "num_hidden", "=", "1", ")", "net", "=", "mx", ".", "symbol", ".", "Group", "(", "[", "student_mean", ",", "student_var", "]", ")", "return", "net" ]	Get toy symbol	[ "Get", "toy", "symbol" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/bdk_demo.py#L142-L158	train	Get toy symbol	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(49) + '\061', 0o10), ehT0Px3KOsy9(chr(1807 - 1759) + chr(0b1001111 + 0o40) + chr(49) + chr(0b110100 + 0o1) + chr(0b110101 + 0o1), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1494 - 1445) + chr(0b110001) + chr(556 - 506), 2440 - 2432), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b110010 + 0o75) + chr(0b1111 + 0o44) + chr(48) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11194 - 11083) + '\x31' + chr(598 - 547) + chr(720 - 666), 40197 - 40189), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1111 + 0o50) + chr(0b10110 + 0o33), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11000 + 0o31) + chr(0b110101) + chr(0b111 + 0o55), 0b1000), ehT0Px3KOsy9(chr(671 - 623) + chr(111) + '\x32' + '\x35' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(190 - 141) + chr(410 - 359), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(50) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1003 - 952) + chr(55) + chr(2380 - 2329), 0b1000), ehT0Px3KOsy9('\060' + chr(1795 - 1684) + '\x32' + chr(1090 - 1038) + chr(0b10101 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b0 + 0o67) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(0b110011) + chr(51) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1284 - 1229) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\065' + chr(427 - 379), 16776 - 16768), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\063' + chr(1062 - 1010), 6634 - 6626), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110110) + chr(0b11 + 0o56), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1901 - 1851) + chr(0b110100), 5832 - 5824), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\x31' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(113 - 64) + chr(638 - 590) + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(2112 - 2064) + chr(0b101110 + 0o101) + '\063' + chr(55) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\066', 7465 - 7457), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(54 - 3) + '\x30', 24462 - 24454), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b101000 + 0o11), 59124 - 59116), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\064' + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + '\x32' + chr(0b110011 + 0o4), 22350 - 22342), ehT0Px3KOsy9('\x30' + '\157' + chr(2229 - 2179) + chr(0b110111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\060' + chr(1349 - 1296), 15298 - 15290), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x30' + '\065', 61169 - 61161), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + '\x34' + '\x31', 26670 - 26662), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(1284 - 1235) + chr(49) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(860 - 809) + chr(1565 - 1514) + chr(1528 - 1478), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\x31' + '\x34' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(55) + chr(0b101001 + 0o13), 8), ehT0Px3KOsy9(chr(0b110000) + chr(11012 - 10901) + '\x33' + chr(2586 - 2532) + chr(0b1010 + 0o51), 46369 - 46361), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10 + 0o62) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(54) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\x31' + chr(0b110010) + chr(0b1110 + 0o45), 26190 - 26182)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(998 - 945) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7'), chr(560 - 460) + '\x65' + '\x63' + chr(111) + chr(0b101000 + 0o74) + '\x65')(chr(0b1010011 + 0o42) + '\x74' + chr(1015 - 913) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def X94FQOD_fU7o(_zfgunay2MQL=ehT0Px3KOsy9('\060' + '\x6f' + chr(516 - 467), 8), VXeVG15v7lQo=None): if _zfgunay2MQL: DyzboKL9cczb = CIVheOt0RKQX.symbol.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x0f>\xa2'), chr(0b1100100) + chr(0b1011111 + 0o6) + chr(0b1100011) + chr(0b100111 + 0o110) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1101 + 0o147) + '\146' + '\x2d' + chr(56))) DyzboKL9cczb = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x0b+\xa06\\\x1e\xf5\xed7\xca'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(0b111 + 0o136))(chr(3780 - 3663) + '\x74' + chr(2946 - 2844) + chr(0b100101 + 0o10) + '\070'), num_hidden=ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + '\061' + chr(0b110100) + chr(52), 8)) DyzboKL9cczb = CIVheOt0RKQX.symbol.Activation(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x0b+\xa06\\\x1e\xf5\xf91\x97\xd7\x8e'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + '\x64' + '\145')('\x75' + '\164' + chr(0b1100110) + '\055' + chr(200 - 144)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\x0b&\xb6'), '\144' + chr(6990 - 6889) + chr(8738 - 8639) + chr(6089 - 5978) + '\x64' + chr(0b1011110 + 0o7))(chr(0b1101001 + 0o14) + '\x74' + chr(7540 - 7438) + '\x2d' + chr(56))) DyzboKL9cczb = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x0b+\xa06\\\x1e\xf5\xed7\xc9'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1000111 + 0o50) + chr(0b111010 + 0o52) + '\145')(chr(117) + '\x74' + chr(0b1000000 + 0o46) + '\055' + chr(0b111000)), num_hidden=ehT0Px3KOsy9(chr(2271 - 2223) + chr(0b1101111) + chr(963 - 914), 8)) DyzboKL9cczb = CIVheOt0RKQX.symbol.LinearRegressionOutput(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x0b+\xa06\\\x1e\xf5\xe4!\x8f\xd2\xca\xad'), chr(0b1100100) + '\x65' + chr(2912 - 2813) + '\157' + chr(100) + '\x65')(chr(3913 - 3796) + chr(0b1011010 + 0o32) + chr(7625 - 7523) + chr(0b111 + 0o46) + chr(0b111000)), grad_scale=VXeVG15v7lQo) else: DyzboKL9cczb = CIVheOt0RKQX.symbol.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x0f>\xa2'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + '\144' + '\145')(chr(0b1110101) + chr(0b1001110 + 0o46) + chr(8537 - 8435) + '\055' + '\070')) DyzboKL9cczb = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x1a?\xa7;W\x18\xf5\xed7\xca'), chr(0b1100100) + chr(101) + chr(99) + '\157' + chr(0b1001101 + 0o27) + chr(6909 - 6808))('\165' + chr(116) + '\146' + chr(45) + chr(56)), num_hidden=ehT0Px3KOsy9(chr(1880 - 1832) + '\157' + chr(1939 - 1890) + chr(0b1001 + 0o53) + chr(0b110100), 8)) DyzboKL9cczb = CIVheOt0RKQX.symbol.Activation(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x1a?\xa7;W\x18\xf5\xf91\x97\xd7\x8e'), '\144' + '\145' + chr(0b11001 + 0o112) + '\x6f' + '\x64' + chr(693 - 592))(chr(0b101110 + 0o107) + chr(0b1100101 + 0o17) + '\x66' + chr(0b101101) + chr(0b100111 + 0o21)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\x0b&\xb6'), chr(0b10100 + 0o120) + chr(8069 - 7968) + chr(99) + '\x6f' + '\144' + chr(0b111011 + 0o52))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(2668 - 2612))) zNfoAiF_InZj = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x1a?\xa7;W\x18\xf5\xe61\x9a\xcc'), chr(100) + chr(0b101100 + 0o71) + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110010 + 0o3) + chr(116) + chr(0b11111 + 0o107) + chr(1670 - 1625) + chr(0b11001 + 0o37)), num_hidden=ehT0Px3KOsy9(chr(667 - 619) + chr(111) + chr(980 - 931), 8)) fVSVkqHrRaJY = CIVheOt0RKQX.symbol.FullyConnected(data=DyzboKL9cczb, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x1a?\xa7;W\x18\xf5\xfd5\x89'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(0b10001 + 0o144) + chr(0b1110100) + chr(0b1100110) + chr(1942 - 1897) + '\x38'), num_hidden=ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + '\061', 8)) DyzboKL9cczb = CIVheOt0RKQX.symbol.Group([zNfoAiF_InZj, fVSVkqHrRaJY]) return DyzboKL9cczb
apache/incubator-mxnet	example/bayesian-methods/bdk_demo.py	run_mnist_DistilledSGLD	def run_mnist_DistilledSGLD(num_training=50000, gpu_id=None): """Run DistilledSGLD on mnist dataset""" X, Y, X_test, Y_test = load_mnist(num_training) minibatch_size = 100 if num_training >= 10000: num_hidden = 800 total_iter_num = 1000000 teacher_learning_rate = 1E-6 student_learning_rate = 0.0001 teacher_prior = 1 student_prior = 0.1 perturb_deviation = 0.1 else: num_hidden = 400 total_iter_num = 20000 teacher_learning_rate = 4E-5 student_learning_rate = 0.0001 teacher_prior = 1 student_prior = 0.1 perturb_deviation = 0.001 teacher_net = get_mnist_sym(num_hidden=num_hidden) logsoftmax = LogSoftmax() student_net = get_mnist_sym(output_op=logsoftmax, num_hidden=num_hidden) data_shape = (minibatch_size,) + X.shape[1::] teacher_data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'softmax_label': nd.zeros((minibatch_size,), ctx=dev(gpu_id))} student_data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'softmax_label': nd.zeros((minibatch_size, 10), ctx=dev(gpu_id))} teacher_initializer = BiasXavier(factor_type="in", magnitude=1) student_initializer = BiasXavier(factor_type="in", magnitude=1) student_exe, student_params, _ = \ DistilledSGLD(teacher_sym=teacher_net, student_sym=student_net, teacher_data_inputs=teacher_data_inputs, student_data_inputs=student_data_inputs, X=X, Y=Y, X_test=X_test, Y_test=Y_test, total_iter_num=total_iter_num, student_initializer=student_initializer, teacher_initializer=teacher_initializer, student_optimizing_algorithm="adam", teacher_learning_rate=teacher_learning_rate, student_learning_rate=student_learning_rate, teacher_prior_precision=teacher_prior, student_prior_precision=student_prior, perturb_deviation=perturb_deviation, minibatch_size=100, dev=dev(gpu_id))	python	def run_mnist_DistilledSGLD(num_training=50000, gpu_id=None): """Run DistilledSGLD on mnist dataset""" X, Y, X_test, Y_test = load_mnist(num_training) minibatch_size = 100 if num_training >= 10000: num_hidden = 800 total_iter_num = 1000000 teacher_learning_rate = 1E-6 student_learning_rate = 0.0001 teacher_prior = 1 student_prior = 0.1 perturb_deviation = 0.1 else: num_hidden = 400 total_iter_num = 20000 teacher_learning_rate = 4E-5 student_learning_rate = 0.0001 teacher_prior = 1 student_prior = 0.1 perturb_deviation = 0.001 teacher_net = get_mnist_sym(num_hidden=num_hidden) logsoftmax = LogSoftmax() student_net = get_mnist_sym(output_op=logsoftmax, num_hidden=num_hidden) data_shape = (minibatch_size,) + X.shape[1::] teacher_data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'softmax_label': nd.zeros((minibatch_size,), ctx=dev(gpu_id))} student_data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'softmax_label': nd.zeros((minibatch_size, 10), ctx=dev(gpu_id))} teacher_initializer = BiasXavier(factor_type="in", magnitude=1) student_initializer = BiasXavier(factor_type="in", magnitude=1) student_exe, student_params, _ = \ DistilledSGLD(teacher_sym=teacher_net, student_sym=student_net, teacher_data_inputs=teacher_data_inputs, student_data_inputs=student_data_inputs, X=X, Y=Y, X_test=X_test, Y_test=Y_test, total_iter_num=total_iter_num, student_initializer=student_initializer, teacher_initializer=teacher_initializer, student_optimizing_algorithm="adam", teacher_learning_rate=teacher_learning_rate, student_learning_rate=student_learning_rate, teacher_prior_precision=teacher_prior, student_prior_precision=student_prior, perturb_deviation=perturb_deviation, minibatch_size=100, dev=dev(gpu_id))	[ "def", "run_mnist_DistilledSGLD", "(", "num_training", "=", "50000", ",", "gpu_id", "=", "None", ")", ":", "X", ",", "Y", ",", "X_test", ",", "Y_test", "=", "load_mnist", "(", "num_training", ")", "minibatch_size", "=", "100", "if", "num_training", ">=", "10000", ":", "num_hidden", "=", "800", "total_iter_num", "=", "1000000", "teacher_learning_rate", "=", "1E-6", "student_learning_rate", "=", "0.0001", "teacher_prior", "=", "1", "student_prior", "=", "0.1", "perturb_deviation", "=", "0.1", "else", ":", "num_hidden", "=", "400", "total_iter_num", "=", "20000", "teacher_learning_rate", "=", "4E-5", "student_learning_rate", "=", "0.0001", "teacher_prior", "=", "1", "student_prior", "=", "0.1", "perturb_deviation", "=", "0.001", "teacher_net", "=", "get_mnist_sym", "(", "num_hidden", "=", "num_hidden", ")", "logsoftmax", "=", "LogSoftmax", "(", ")", "student_net", "=", "get_mnist_sym", "(", "output_op", "=", "logsoftmax", ",", "num_hidden", "=", "num_hidden", ")", "data_shape", "=", "(", "minibatch_size", ",", ")", "+", "X", ".", "shape", "[", "1", ":", ":", "]", "teacher_data_inputs", "=", "{", "'data'", ":", "nd", ".", "zeros", "(", "data_shape", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", ",", "'softmax_label'", ":", "nd", ".", "zeros", "(", "(", "minibatch_size", ",", ")", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", "}", "student_data_inputs", "=", "{", "'data'", ":", "nd", ".", "zeros", "(", "data_shape", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", ",", "'softmax_label'", ":", "nd", ".", "zeros", "(", "(", "minibatch_size", ",", "10", ")", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", "}", "teacher_initializer", "=", "BiasXavier", "(", "factor_type", "=", "\"in\"", ",", "magnitude", "=", "1", ")", "student_initializer", "=", "BiasXavier", "(", "factor_type", "=", "\"in\"", ",", "magnitude", "=", "1", ")", "student_exe", ",", "student_params", ",", "_", "=", "DistilledSGLD", "(", "teacher_sym", "=", "teacher_net", ",", "student_sym", "=", "student_net", ",", "teacher_data_inputs", "=", "teacher_data_inputs", ",", "student_data_inputs", "=", "student_data_inputs", ",", "X", "=", "X", ",", "Y", "=", "Y", ",", "X_test", "=", "X_test", ",", "Y_test", "=", "Y_test", ",", "total_iter_num", "=", "total_iter_num", ",", "student_initializer", "=", "student_initializer", ",", "teacher_initializer", "=", "teacher_initializer", ",", "student_optimizing_algorithm", "=", "\"adam\"", ",", "teacher_learning_rate", "=", "teacher_learning_rate", ",", "student_learning_rate", "=", "student_learning_rate", ",", "teacher_prior_precision", "=", "teacher_prior", ",", "student_prior_precision", "=", "student_prior", ",", "perturb_deviation", "=", "perturb_deviation", ",", "minibatch_size", "=", "100", ",", "dev", "=", "dev", "(", "gpu_id", ")", ")" ]	Run DistilledSGLD on mnist dataset	[ "Run", "DistilledSGLD", "on", "mnist", "dataset" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/bdk_demo.py#L196-L237	train	Run DistilledSGLD on mnist 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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2148 - 2099) + '\062', 40313 - 40305), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\x31' + chr(0b110001) + chr(2468 - 2415), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(10727 - 10616) + '\x33' + '\x37' + chr(0b10001 + 0o37), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101010 + 0o10) + '\065' + chr(53), 28870 - 28862), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b1011 + 0o47) + chr(435 - 384), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + chr(1263 - 1214) + chr(53) + '\x30', 58105 - 58097), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2731 - 2677) + chr(0b11011 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + '\x31' + '\x31' + chr(410 - 355), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(59 - 8) + chr(0b110001) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10975 - 10864) + '\063' + chr(0b1000 + 0o57) + chr(0b1 + 0o57), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(50) + chr(0b100000 + 0o25) + chr(1044 - 990), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2803 - 2692) + chr(0b110011) + chr(0b100101 + 0o13) + '\061', 0b1000), ehT0Px3KOsy9(chr(316 - 268) + chr(0b11000 + 0o127) + chr(0b101011 + 0o7) + chr(1692 - 1638) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b110010) + chr(61 - 11) + '\064', 30665 - 30657), ehT0Px3KOsy9(chr(282 - 234) + chr(2741 - 2630) + chr(166 - 117) + chr(0b110011) + chr(0b1 + 0o65), 2111 - 2103), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + '\063' + '\x37' + chr(2269 - 2214), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x34' + chr(1112 - 1060), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(1794 - 1740) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110000) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\061' + chr(51) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(51) + chr(0b10110 + 0o32) + chr(54), 53906 - 53898), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + '\x31' + chr(0b110010) + chr(0b10 + 0o61), 8), ehT0Px3KOsy9('\x30' + chr(10448 - 10337) + chr(0b1101 + 0o44) + '\x30' + '\x33', 0o10), ehT0Px3KOsy9(chr(481 - 433) + chr(111) + chr(51) + '\x34' + chr(0b1010 + 0o52), 16164 - 16156), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(0b110001) + chr(0b1111 + 0o46) + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110111) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + '\061', 0o10), ehT0Px3KOsy9(chr(364 - 316) + '\157' + '\064' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b100011 + 0o16) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1000 + 0o52) + chr(0b10011 + 0o44) + '\066', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1010001 + 0o36) + '\062' + chr(0b1011 + 0o47) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9127 - 9016) + chr(51) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + '\x33' + chr(2760 - 2706) + '\x31', 0o10), ehT0Px3KOsy9(chr(102 - 54) + '\157' + chr(703 - 653) + chr(465 - 415) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1111 + 0o43) + chr(48) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(875 - 764) + '\x31' + chr(51) + chr(48), 10577 - 10569), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b0 + 0o157) + chr(0b100 + 0o56) + chr(48) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(2396 - 2347) + '\065' + chr(1757 - 1704), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\062' + chr(0b11101 + 0o24), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'$'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b111101 + 0o47) + '\145')(chr(0b1011001 + 0o34) + chr(0b1000111 + 0o55) + chr(0b1100110) + chr(0b11000 + 0o25) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def VUik0YEShaPt(I7r8L0D6DNQM=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110100) + '\x31' + chr(0b1000 + 0o55) + '\062' + chr(0b10000 + 0o40), ord("\x08")), zi7tvpcAQk_H=None): (xEgrFJ0REugl, cirEqDm6EMgP, iWSGU7PkZMSJ, kEjec_nbBPWJ) = VNNhb_VTmCKu(I7r8L0D6DNQM) DHQYeUC5GBb8 = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1567 - 1518) + '\064' + chr(2353 - 2301), 0o10) if I7r8L0D6DNQM >= ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110011) + '\x34' + '\x32' + chr(48), ord("\x08")): ErqkiO20_RGX = ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110100) + chr(2126 - 2074) + chr(0b110000), 0b1000) hs31OB1W5mno = ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b110011) + chr(1640 - 1586) + '\x34' + '\x31' + chr(1034 - 985) + chr(0b110000) + chr(0b100011 + 0o15), ord("\x08")) kX_INa8OnVec = 1e-06 I5agQFjowT2g = 0.0001 Rt7Lz3T7CUh5 = ehT0Px3KOsy9(chr(659 - 611) + chr(111) + chr(2165 - 2116), 0b1000) Z0bqXBu1y8Qg = 0.1 qJlJGM4ezLPo = 0.1 else: ErqkiO20_RGX = ehT0Px3KOsy9(chr(458 - 410) + chr(111) + chr(54) + '\x32' + '\x30', 0o10) hs31OB1W5mno = ehT0Px3KOsy9('\060' + '\x6f' + chr(545 - 493) + chr(0b1100 + 0o53) + chr(0b110000) + chr(52) + chr(0b1011 + 0o45), 0b1000) kX_INa8OnVec = 4e-05 I5agQFjowT2g = 0.0001 Rt7Lz3T7CUh5 = ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(49), 8) Z0bqXBu1y8Qg = 0.1 qJlJGM4ezLPo = 0.001 sa0TMcSxKicK = pHUme4b___ZM(num_hidden=ErqkiO20_RGX) uh0BeB9ZGo1B = hOkrN8riVCMj() sN8_qtb7t48Z = pHUme4b___ZM(output_op=uh0BeB9ZGo1B, num_hidden=ErqkiO20_RGX) l48nAKgbtcOz = (DHQYeUC5GBb8,) + xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8):] h38bnPgGGNqY = {xafqLlk3kkUe(SXOLrMavuUCe(b'n,\x8c\xcc'), chr(0b1100100) + chr(2835 - 2734) + chr(0b1000001 + 0o42) + '\157' + chr(3397 - 3297) + chr(0b110111 + 0o56))(chr(0b1100110 + 0o17) + chr(0b1110100) + chr(1459 - 1357) + '\055' + chr(56)): Vy_CFRcuYrTj.zeros(l48nAKgbtcOz, ctx=KUGShP2Xd_zs(zi7tvpcAQk_H)), xafqLlk3kkUe(SXOLrMavuUCe(b'y"\x9e\xd9>\xb2\x10l#\xac\x9a\xcb\xad'), '\x64' + chr(5582 - 5481) + chr(99) + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(829 - 784) + chr(1869 - 1813)): Vy_CFRcuYrTj.zeros((DHQYeUC5GBb8,), ctx=KUGShP2Xd_zs(zi7tvpcAQk_H))} tDlgxoESxImp = {xafqLlk3kkUe(SXOLrMavuUCe(b'n,\x8c\xcc'), chr(3438 - 3338) + chr(4700 - 4599) + chr(0b111010 + 0o51) + chr(8491 - 8380) + chr(0b101 + 0o137) + '\x65')(chr(0b1110 + 0o147) + '\x74' + chr(0b1001110 + 0o30) + chr(0b100100 + 0o11) + chr(0b110110 + 0o2)): Vy_CFRcuYrTj.zeros(l48nAKgbtcOz, ctx=KUGShP2Xd_zs(zi7tvpcAQk_H)), xafqLlk3kkUe(SXOLrMavuUCe(b'y"\x9e\xd9>\xb2\x10l#\xac\x9a\xcb\xad'), chr(0b1100100) + chr(5678 - 5577) + chr(0b1100011) + chr(0b10101 + 0o132) + chr(0b1001 + 0o133) + chr(0b1011000 + 0o15))('\165' + '\164' + chr(0b1100110) + chr(0b1110 + 0o37) + chr(56)): Vy_CFRcuYrTj.zeros((DHQYeUC5GBb8, ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2398 - 2349) + chr(141 - 91), 8)), ctx=KUGShP2Xd_zs(zi7tvpcAQk_H))} E3axLI6YBqQh = op9sy3TQxUVr(factor_type=xafqLlk3kkUe(SXOLrMavuUCe(b'c#'), chr(100) + chr(7494 - 7393) + '\143' + '\157' + chr(0b101110 + 0o66) + chr(101))(chr(0b1110101) + '\164' + chr(0b101110 + 0o70) + '\x2d' + chr(1595 - 1539)), magnitude=ehT0Px3KOsy9(chr(0b110000) + chr(3702 - 3591) + chr(2014 - 1965), 8)) Pm5NQQCn3Onh = op9sy3TQxUVr(factor_type=xafqLlk3kkUe(SXOLrMavuUCe(b'c#'), chr(100) + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(0b1100101))(chr(9712 - 9595) + chr(0b1101001 + 0o13) + '\x66' + chr(45) + chr(56)), magnitude=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)) (NdXZxEvNTw8e, IkZRN8XBOgdu, VNGQdHSFPrso) = YD3t2Pm7WptL(teacher_sym=sa0TMcSxKicK, student_sym=sN8_qtb7t48Z, teacher_data_inputs=h38bnPgGGNqY, student_data_inputs=tDlgxoESxImp, X=xEgrFJ0REugl, Y=cirEqDm6EMgP, X_test=iWSGU7PkZMSJ, Y_test=kEjec_nbBPWJ, total_iter_num=hs31OB1W5mno, student_initializer=Pm5NQQCn3Onh, teacher_initializer=E3axLI6YBqQh, student_optimizing_algorithm=xafqLlk3kkUe(SXOLrMavuUCe(b'k)\x99\xc0'), '\x64' + chr(0b1001 + 0o134) + chr(777 - 678) + '\x6f' + chr(100) + chr(0b1011011 + 0o12))(chr(0b1110101) + chr(116) + '\x66' + chr(484 - 439) + chr(56)), teacher_learning_rate=kX_INa8OnVec, student_learning_rate=I5agQFjowT2g, teacher_prior_precision=Rt7Lz3T7CUh5, student_prior_precision=Z0bqXBu1y8Qg, perturb_deviation=qJlJGM4ezLPo, minibatch_size=ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(1063 - 1011) + chr(1590 - 1538), 8), dev=KUGShP2Xd_zs(zi7tvpcAQk_H))
apache/incubator-mxnet	example/bayesian-methods/bdk_demo.py	run_toy_SGLD	def run_toy_SGLD(gpu_id=None): """Run SGLD on toy dataset""" X, Y, X_test, Y_test = load_toy() minibatch_size = 1 teacher_noise_precision = 1.0 / 9.0 net = get_toy_sym(True, teacher_noise_precision) data_shape = (minibatch_size,) + X.shape[1::] data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'teacher_output_label': nd.zeros((minibatch_size, 1), ctx=dev(gpu_id))} initializer = mx.init.Uniform(0.07) exe, params, _ = SGLD(sym=net, data_inputs=data_inputs, X=X, Y=Y, X_test=X_test, Y_test=Y_test, total_iter_num=50000, initializer=initializer, learning_rate=1E-4, # lr_scheduler=mx.lr_scheduler.FactorScheduler(100000, 0.5), prior_precision=0.1, burn_in_iter_num=1000, thin_interval=10, task='regression', minibatch_size=minibatch_size, dev=dev(gpu_id))	python	def run_toy_SGLD(gpu_id=None): """Run SGLD on toy dataset""" X, Y, X_test, Y_test = load_toy() minibatch_size = 1 teacher_noise_precision = 1.0 / 9.0 net = get_toy_sym(True, teacher_noise_precision) data_shape = (minibatch_size,) + X.shape[1::] data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'teacher_output_label': nd.zeros((minibatch_size, 1), ctx=dev(gpu_id))} initializer = mx.init.Uniform(0.07) exe, params, _ = SGLD(sym=net, data_inputs=data_inputs, X=X, Y=Y, X_test=X_test, Y_test=Y_test, total_iter_num=50000, initializer=initializer, learning_rate=1E-4, # lr_scheduler=mx.lr_scheduler.FactorScheduler(100000, 0.5), prior_precision=0.1, burn_in_iter_num=1000, thin_interval=10, task='regression', minibatch_size=minibatch_size, dev=dev(gpu_id))	[ "def", "run_toy_SGLD", "(", "gpu_id", "=", "None", ")", ":", "X", ",", "Y", ",", "X_test", ",", "Y_test", "=", "load_toy", "(", ")", "minibatch_size", "=", "1", "teacher_noise_precision", "=", "1.0", "/", "9.0", "net", "=", "get_toy_sym", "(", "True", ",", "teacher_noise_precision", ")", "data_shape", "=", "(", "minibatch_size", ",", ")", "+", "X", ".", "shape", "[", "1", ":", ":", "]", "data_inputs", "=", "{", "'data'", ":", "nd", ".", "zeros", "(", "data_shape", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", ",", "'teacher_output_label'", ":", "nd", ".", "zeros", "(", "(", "minibatch_size", ",", "1", ")", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", "}", "initializer", "=", "mx", ".", "init", ".", "Uniform", "(", "0.07", ")", "exe", ",", "params", ",", "_", "=", "SGLD", "(", "sym", "=", "net", ",", "data_inputs", "=", "data_inputs", ",", "X", "=", "X", ",", "Y", "=", "Y", ",", "X_test", "=", "X_test", ",", "Y_test", "=", "Y_test", ",", "total_iter_num", "=", "50000", ",", "initializer", "=", "initializer", ",", "learning_rate", "=", "1E-4", ",", "# lr_scheduler=mx.lr_scheduler.FactorScheduler(100000, 0.5),", "prior_precision", "=", "0.1", ",", "burn_in_iter_num", "=", "1000", ",", "thin_interval", "=", "10", ",", "task", "=", "'regression'", ",", "minibatch_size", "=", "minibatch_size", ",", "dev", "=", "dev", "(", "gpu_id", ")", ")" ]	Run SGLD on toy dataset	[ "Run", "SGLD", "on", "toy", "dataset" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/bdk_demo.py#L240-L265	train	Run SGLD on toy 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(chr(48) + '\x6f' + chr(0b101110 + 0o5) + chr(0b110001) + chr(49), 43535 - 43527), ehT0Px3KOsy9('\x30' + chr(9019 - 8908) + '\061' + '\062' + chr(0b1001 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(485 - 432) + chr(0b101001 + 0o12), 1174 - 1166), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064' + chr(0b110100), 56503 - 56495), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101110 + 0o3) + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\061' + chr(53), 16555 - 16547), ehT0Px3KOsy9('\060' + chr(11954 - 11843) + chr(0b110011) + '\x35', 9956 - 9948), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\062' + '\065' + '\061', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(10771 - 10660) + '\067' + chr(1482 - 1434), 9095 - 9087), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(53) + chr(0b101 + 0o55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100010 + 0o17), 0b1000), ehT0Px3KOsy9(chr(1631 - 1583) + chr(0b1101111) + chr(0b110011) + '\x34' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(4460 - 4349) + chr(2124 - 2075) + chr(0b11010 + 0o32) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1646 - 1598) + '\x6f' + chr(50) + chr(0b110000) + chr(1846 - 1798), 53810 - 53802), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x34' + chr(1242 - 1190), 14781 - 14773), ehT0Px3KOsy9(chr(0b110000) + chr(10723 - 10612) + chr(0b110010) + chr(1321 - 1273) + chr(55), 47733 - 47725), ehT0Px3KOsy9(chr(48) + '\157' + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(2395 - 2346) + '\x37' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x37' + chr(0b100110 + 0o13), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110000) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2075 - 2024) + chr(0b110100) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1100 + 0o46) + chr(1956 - 1901) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(500 - 389) + '\x31' + '\x35' + chr(0b110000), 14609 - 14601), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10001 + 0o40) + chr(0b10011 + 0o35) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + '\061' + chr(0b1011 + 0o45) + chr(1489 - 1436), 25593 - 25585), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110001), 41742 - 41734), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110011) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5979 - 5868) + '\061' + '\061' + chr(1094 - 1045), ord("\x08")), ehT0Px3KOsy9(chr(933 - 885) + '\157' + chr(2158 - 2108) + chr(2197 - 2143) + chr(53), 0o10), ehT0Px3KOsy9(chr(900 - 852) + chr(0b1101111) + '\x33' + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + '\x31' + '\x32' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(52) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(9472 - 9361) + chr(1087 - 1037) + chr(1044 - 991) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(11815 - 11704) + '\x32' + chr(0b110011) + chr(1770 - 1722), 10081 - 10073), ehT0Px3KOsy9(chr(2119 - 2071) + chr(7093 - 6982) + chr(0b110010 + 0o0) + chr(49) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1667 - 1617) + chr(738 - 689) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1978 - 1930) + chr(6423 - 6312) + chr(0b100 + 0o57) + chr(0b100101 + 0o16) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b0 + 0o157) + chr(1836 - 1785) + '\x34' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b110001) + '\062' + '\x35', 3124 - 3116)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(7987 - 7876) + chr(0b110101) + chr(0b101010 + 0o6), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7'), chr(0b1100100) + chr(101) + chr(0b1101 + 0o126) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(0b110101 + 0o3)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def XLKfilFDWN4w(zi7tvpcAQk_H=None): (xEgrFJ0REugl, cirEqDm6EMgP, iWSGU7PkZMSJ, kEjec_nbBPWJ) = eA0rSU01IahN() DHQYeUC5GBb8 = ehT0Px3KOsy9('\060' + '\157' + '\061', 8) VXeVG15v7lQo = 1.0 / 9.0 DyzboKL9cczb = X94FQOD_fU7o(ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8), VXeVG15v7lQo) l48nAKgbtcOz = (DHQYeUC5GBb8,) + xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o35), 8):] Cw9XGdlwj874 = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xad3\xdfE'), chr(100) + chr(0b1100101) + '\143' + '\157' + '\144' + chr(0b1100101))(chr(0b100100 + 0o121) + chr(0b1110100) + '\x66' + chr(0b1001 + 0o44) + '\x38'): Vy_CFRcuYrTj.zeros(l48nAKgbtcOz, ctx=KUGShP2Xd_zs(zi7tvpcAQk_H)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd7\xcaG?\xa8o\xf6W\xdfu\x97\x17\xf4\xfb\xebU\x19\x1c\xa9'), chr(0b1000110 + 0o36) + '\145' + chr(0b1100011) + chr(111) + chr(0b1110 + 0o126) + '\145')(chr(0b111100 + 0o71) + chr(9311 - 9195) + chr(102) + '\x2d' + chr(56)): Vy_CFRcuYrTj.zeros((DHQYeUC5GBb8, ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b1010 + 0o47), 8)), ctx=KUGShP2Xd_zs(zi7tvpcAQk_H))} kwfuYzkY5C57 = CIVheOt0RKQX.init.Uniform(0.07) (fuwbpiKmfMe7, nEbJZ4wfte2w, VNGQdHSFPrso) = JO_XsqhqaHIk(sym=DyzboKL9cczb, data_inputs=Cw9XGdlwj874, X=xEgrFJ0REugl, Y=cirEqDm6EMgP, X_test=iWSGU7PkZMSJ, Y_test=kEjec_nbBPWJ, total_iter_num=ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(797 - 748) + '\x34' + chr(0b101010 + 0o7) + chr(53) + '\x32' + chr(0b111 + 0o51), 0o10), initializer=kwfuYzkY5C57, learning_rate=0.0001, prior_precision=0.1, burn_in_iter_num=ehT0Px3KOsy9('\x30' + chr(624 - 513) + chr(49) + chr(55) + '\x35' + '\060', ord("\x08")), thin_interval=ehT0Px3KOsy9(chr(0b110000) + chr(3858 - 3747) + chr(0b11111 + 0o22) + chr(0b111 + 0o53), ord("\x08")), task=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb7\xccV2\xben\xc0W\xc4'), chr(100) + '\x65' + '\143' + chr(0b1101111) + '\x64' + '\145')('\165' + chr(116) + chr(0b111101 + 0o51) + chr(45) + chr(56)), minibatch_size=DHQYeUC5GBb8, dev=KUGShP2Xd_zs(zi7tvpcAQk_H))
apache/incubator-mxnet	example/bayesian-methods/bdk_demo.py	run_toy_DistilledSGLD	def run_toy_DistilledSGLD(gpu_id): """Run DistilledSGLD on toy dataset""" X, Y, X_test, Y_test = load_toy() minibatch_size = 1 teacher_noise_precision = 1.0 teacher_net = get_toy_sym(True, teacher_noise_precision) student_net = get_toy_sym(False) data_shape = (minibatch_size,) + X.shape[1::] teacher_data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'teacher_output_label': nd.zeros((minibatch_size, 1), ctx=dev(gpu_id))} student_data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id))} teacher_initializer = mx.init.Uniform(0.07) student_initializer = mx.init.Uniform(0.07) student_grad_f = lambda student_outputs, teacher_pred: \ regression_student_grad(student_outputs, teacher_pred, teacher_noise_precision) student_exe, student_params, _ = \ DistilledSGLD(teacher_sym=teacher_net, student_sym=student_net, teacher_data_inputs=teacher_data_inputs, student_data_inputs=student_data_inputs, X=X, Y=Y, X_test=X_test, Y_test=Y_test, total_iter_num=80000, teacher_initializer=teacher_initializer, student_initializer=student_initializer, teacher_learning_rate=1E-4, student_learning_rate=0.01, # teacher_lr_scheduler=mx.lr_scheduler.FactorScheduler(100000, 0.5), student_lr_scheduler=mx.lr_scheduler.FactorScheduler(8000, 0.8), student_grad_f=student_grad_f, teacher_prior_precision=0.1, student_prior_precision=0.001, perturb_deviation=0.1, minibatch_size=minibatch_size, task='regression', dev=dev(gpu_id))	python	def run_toy_DistilledSGLD(gpu_id): """Run DistilledSGLD on toy dataset""" X, Y, X_test, Y_test = load_toy() minibatch_size = 1 teacher_noise_precision = 1.0 teacher_net = get_toy_sym(True, teacher_noise_precision) student_net = get_toy_sym(False) data_shape = (minibatch_size,) + X.shape[1::] teacher_data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'teacher_output_label': nd.zeros((minibatch_size, 1), ctx=dev(gpu_id))} student_data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id))} teacher_initializer = mx.init.Uniform(0.07) student_initializer = mx.init.Uniform(0.07) student_grad_f = lambda student_outputs, teacher_pred: \ regression_student_grad(student_outputs, teacher_pred, teacher_noise_precision) student_exe, student_params, _ = \ DistilledSGLD(teacher_sym=teacher_net, student_sym=student_net, teacher_data_inputs=teacher_data_inputs, student_data_inputs=student_data_inputs, X=X, Y=Y, X_test=X_test, Y_test=Y_test, total_iter_num=80000, teacher_initializer=teacher_initializer, student_initializer=student_initializer, teacher_learning_rate=1E-4, student_learning_rate=0.01, # teacher_lr_scheduler=mx.lr_scheduler.FactorScheduler(100000, 0.5), student_lr_scheduler=mx.lr_scheduler.FactorScheduler(8000, 0.8), student_grad_f=student_grad_f, teacher_prior_precision=0.1, student_prior_precision=0.001, perturb_deviation=0.1, minibatch_size=minibatch_size, task='regression', dev=dev(gpu_id))	[ "def", "run_toy_DistilledSGLD", "(", "gpu_id", ")", ":", "X", ",", "Y", ",", "X_test", ",", "Y_test", "=", "load_toy", "(", ")", "minibatch_size", "=", "1", "teacher_noise_precision", "=", "1.0", "teacher_net", "=", "get_toy_sym", "(", "True", ",", "teacher_noise_precision", ")", "student_net", "=", "get_toy_sym", "(", "False", ")", "data_shape", "=", "(", "minibatch_size", ",", ")", "+", "X", ".", "shape", "[", "1", ":", ":", "]", "teacher_data_inputs", "=", "{", "'data'", ":", "nd", ".", "zeros", "(", "data_shape", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", ",", "'teacher_output_label'", ":", "nd", ".", "zeros", "(", "(", "minibatch_size", ",", "1", ")", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", "}", "student_data_inputs", "=", "{", "'data'", ":", "nd", ".", "zeros", "(", "data_shape", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", "}", "teacher_initializer", "=", "mx", ".", "init", ".", "Uniform", "(", "0.07", ")", "student_initializer", "=", "mx", ".", "init", ".", "Uniform", "(", "0.07", ")", "student_grad_f", "=", "lambda", "student_outputs", ",", "teacher_pred", ":", "regression_student_grad", "(", "student_outputs", ",", "teacher_pred", ",", "teacher_noise_precision", ")", "student_exe", ",", "student_params", ",", "_", "=", "DistilledSGLD", "(", "teacher_sym", "=", "teacher_net", ",", "student_sym", "=", "student_net", ",", "teacher_data_inputs", "=", "teacher_data_inputs", ",", "student_data_inputs", "=", "student_data_inputs", ",", "X", "=", "X", ",", "Y", "=", "Y", ",", "X_test", "=", "X_test", ",", "Y_test", "=", "Y_test", ",", "total_iter_num", "=", "80000", ",", "teacher_initializer", "=", "teacher_initializer", ",", "student_initializer", "=", "student_initializer", ",", "teacher_learning_rate", "=", "1E-4", ",", "student_learning_rate", "=", "0.01", ",", "# teacher_lr_scheduler=mx.lr_scheduler.FactorScheduler(100000, 0.5),", "student_lr_scheduler", "=", "mx", ".", "lr_scheduler", ".", "FactorScheduler", "(", "8000", ",", "0.8", ")", ",", "student_grad_f", "=", "student_grad_f", ",", "teacher_prior_precision", "=", "0.1", ",", "student_prior_precision", "=", "0.001", ",", "perturb_deviation", "=", "0.1", ",", "minibatch_size", "=", "minibatch_size", ",", "task", "=", "'regression'", ",", "dev", "=", "dev", "(", "gpu_id", ")", ")" ]	Run DistilledSGLD on toy dataset	[ "Run", "DistilledSGLD", "on", "toy", "dataset" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/bdk_demo.py#L268-L297	train	Run DistilledSGLD on toy 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(chr(0b110000) + chr(0b1101111) + '\x32' + chr(2239 - 2189) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b110010) + '\066' + '\061', 47850 - 47842), ehT0Px3KOsy9(chr(1051 - 1003) + chr(0b1101100 + 0o3) + chr(49) + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(2200 - 2150) + chr(48) + chr(967 - 917), 10478 - 10470), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\066' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + '\063' + chr(0b110110) + chr(315 - 260), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110 + 0o55) + '\x33' + chr(1834 - 1785), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(0b100110 + 0o13) + chr(0b1101 + 0o47) + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(662 - 551) + chr(0b10011 + 0o36) + chr(0b110111) + '\060', 14741 - 14733), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(422 - 368), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(0b110010) + '\062' + '\x36', 55802 - 55794), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + '\x32' + '\x30' + chr(55), 0o10), ehT0Px3KOsy9(chr(1058 - 1010) + chr(0b1 + 0o156) + chr(277 - 228) + chr(53) + '\x34', 45769 - 45761), ehT0Px3KOsy9(chr(542 - 494) + chr(3349 - 3238) + '\063' + '\x35' + chr(0b110000), 22874 - 22866), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(0b110001) + '\x30' + '\061', 22862 - 22854), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\x32' + chr(0b110000), 28302 - 28294), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110010) + '\x35' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110000) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b101110 + 0o2) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(2251 - 2203) + chr(111) + chr(49) + '\x31' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(473 - 425) + chr(11811 - 11700) + chr(50) + chr(1910 - 1862) + chr(0b110001), 16775 - 16767), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1001 + 0o52) + chr(0b1111 + 0o46) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(49) + '\x35' + chr(52), 8), ehT0Px3KOsy9(chr(1262 - 1214) + chr(0b1100101 + 0o12) + chr(63 - 12) + chr(0b101011 + 0o7) + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\062' + '\x36', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x36' + chr(0b1111 + 0o45), 0b1000), ehT0Px3KOsy9(chr(164 - 116) + '\x6f' + '\x31' + chr(2294 - 2240) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b11001 + 0o27) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x31' + chr(0b110 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(0b11100 + 0o33), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(55), 34582 - 34574), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b0 + 0o63), 42397 - 42389), ehT0Px3KOsy9(chr(0b110000) + chr(3710 - 3599) + chr(1366 - 1315) + chr(0b101110 + 0o6) + chr(1119 - 1064), 1737 - 1729), ehT0Px3KOsy9('\x30' + '\x6f' + chr(496 - 445) + chr(1243 - 1191), 22940 - 22932), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(1461 - 1412) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\063' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1699 - 1651) + chr(0b111 + 0o150) + chr(0b11100 + 0o27) + chr(0b110000) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110 + 0o53) + chr(0b110001) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\063' + chr(1879 - 1829) + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(1108 - 997) + '\x35' + chr(0b110000), 3119 - 3111)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9'), chr(100) + chr(101) + chr(4473 - 4374) + chr(4352 - 4241) + chr(0b111111 + 0o45) + chr(0b111 + 0o136))(chr(4972 - 4855) + '\x74' + chr(0b101100 + 0o72) + '\x2d' + chr(0b100111 + 0o21)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def HzUAV8tgbUSY(zi7tvpcAQk_H): (xEgrFJ0REugl, cirEqDm6EMgP, iWSGU7PkZMSJ, kEjec_nbBPWJ) = eA0rSU01IahN() DHQYeUC5GBb8 = ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(0b101111 + 0o2), ord("\x08")) VXeVG15v7lQo = 1.0 sa0TMcSxKicK = X94FQOD_fU7o(ehT0Px3KOsy9(chr(1950 - 1902) + chr(4565 - 4454) + chr(49), 8), VXeVG15v7lQo) sN8_qtb7t48Z = X94FQOD_fU7o(ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), ord("\x08"))) l48nAKgbtcOz = (DHQYeUC5GBb8,) + xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(49), 8):] h38bnPgGGNqY = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xd0\r\xe3'), chr(100) + chr(101) + chr(0b111 + 0o134) + '\x6f' + chr(6455 - 6355) + chr(3002 - 2901))(chr(0b1110101) + chr(116) + chr(5610 - 5508) + chr(45) + '\070'): Vy_CFRcuYrTj.zeros(l48nAKgbtcOz, ctx=KUGShP2Xd_zs(zi7tvpcAQk_H)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xd4\x18\xe1Z\x92\xab?\x17{\xe2\xf7\x19\x9c\x1e\|\xc9\xa0\xa5&'), chr(8958 - 8858) + '\145' + '\x63' + chr(0b1100010 + 0o15) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2679 - 2623)): Vy_CFRcuYrTj.zeros((DHQYeUC5GBb8, ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(49), 8)), ctx=KUGShP2Xd_zs(zi7tvpcAQk_H))} tDlgxoESxImp = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xd0\r\xe3'), '\x64' + chr(0b1100101) + '\143' + chr(0b11 + 0o154) + '\144' + chr(0b11000 + 0o115))(chr(0b1110101) + '\164' + chr(102) + chr(0b1100 + 0o41) + chr(0b100110 + 0o22)): Vy_CFRcuYrTj.zeros(l48nAKgbtcOz, ctx=KUGShP2Xd_zs(zi7tvpcAQk_H))} E3axLI6YBqQh = CIVheOt0RKQX.init.Uniform(0.07) Pm5NQQCn3Onh = CIVheOt0RKQX.init.Uniform(0.07) def aa_WmPFetchq(dzx_mSLnktqM, HhLlcBB0c3SU): return _68FbeQLxLye(dzx_mSLnktqM, HhLlcBB0c3SU, VXeVG15v7lQo) (NdXZxEvNTw8e, IkZRN8XBOgdu, VNGQdHSFPrso) = YD3t2Pm7WptL(teacher_sym=sa0TMcSxKicK, student_sym=sN8_qtb7t48Z, teacher_data_inputs=h38bnPgGGNqY, student_data_inputs=tDlgxoESxImp, X=xEgrFJ0REugl, Y=cirEqDm6EMgP, X_test=iWSGU7PkZMSJ, Y_test=kEjec_nbBPWJ, total_iter_num=ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + '\062' + '\x33' + '\064' + '\x32' + '\060' + chr(1691 - 1643), 38481 - 38473), teacher_initializer=E3axLI6YBqQh, student_initializer=Pm5NQQCn3Onh, teacher_learning_rate=0.0001, student_learning_rate=0.01, student_lr_scheduler=CIVheOt0RKQX.lr_scheduler.FactorScheduler(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1001 + 0o50) + '\x37' + '\065' + '\060' + '\x30', ord("\x08")), 0.8), student_grad_f=aa_WmPFetchq, teacher_prior_precision=0.1, student_prior_precision=0.001, perturb_deviation=0.1, minibatch_size=DHQYeUC5GBb8, task=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xd4\x1e\xf0W\x84\xaa\t\x17`'), chr(8538 - 8438) + '\145' + chr(99) + '\157' + chr(100) + '\x65')(chr(0b1101110 + 0o7) + chr(116) + chr(4894 - 4792) + chr(45) + chr(0b111000)), dev=KUGShP2Xd_zs(zi7tvpcAQk_H))
apache/incubator-mxnet	example/bayesian-methods/bdk_demo.py	run_toy_HMC	def run_toy_HMC(gpu_id=None): """Run HMC on toy dataset""" X, Y, X_test, Y_test = load_toy() minibatch_size = Y.shape[0] noise_precision = 1 / 9.0 net = get_toy_sym(True, noise_precision) data_shape = (minibatch_size,) + X.shape[1::] data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'teacher_output_label': nd.zeros((minibatch_size, 1), ctx=dev(gpu_id))} initializer = mx.init.Uniform(0.07) sample_pool = HMC(net, data_inputs=data_inputs, X=X, Y=Y, X_test=X_test, Y_test=Y_test, sample_num=300000, initializer=initializer, prior_precision=1.0, learning_rate=1E-3, L=10, dev=dev(gpu_id))	python	def run_toy_HMC(gpu_id=None): """Run HMC on toy dataset""" X, Y, X_test, Y_test = load_toy() minibatch_size = Y.shape[0] noise_precision = 1 / 9.0 net = get_toy_sym(True, noise_precision) data_shape = (minibatch_size,) + X.shape[1::] data_inputs = {'data': nd.zeros(data_shape, ctx=dev(gpu_id)), 'teacher_output_label': nd.zeros((minibatch_size, 1), ctx=dev(gpu_id))} initializer = mx.init.Uniform(0.07) sample_pool = HMC(net, data_inputs=data_inputs, X=X, Y=Y, X_test=X_test, Y_test=Y_test, sample_num=300000, initializer=initializer, prior_precision=1.0, learning_rate=1E-3, L=10, dev=dev(gpu_id))	[ "def", "run_toy_HMC", "(", "gpu_id", "=", "None", ")", ":", "X", ",", "Y", ",", "X_test", ",", "Y_test", "=", "load_toy", "(", ")", "minibatch_size", "=", "Y", ".", "shape", "[", "0", "]", "noise_precision", "=", "1", "/", "9.0", "net", "=", "get_toy_sym", "(", "True", ",", "noise_precision", ")", "data_shape", "=", "(", "minibatch_size", ",", ")", "+", "X", ".", "shape", "[", "1", ":", ":", "]", "data_inputs", "=", "{", "'data'", ":", "nd", ".", "zeros", "(", "data_shape", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", ",", "'teacher_output_label'", ":", "nd", ".", "zeros", "(", "(", "minibatch_size", ",", "1", ")", ",", "ctx", "=", "dev", "(", "gpu_id", ")", ")", "}", "initializer", "=", "mx", ".", "init", ".", "Uniform", "(", "0.07", ")", "sample_pool", "=", "HMC", "(", "net", ",", "data_inputs", "=", "data_inputs", ",", "X", "=", "X", ",", "Y", "=", "Y", ",", "X_test", "=", "X_test", ",", "Y_test", "=", "Y_test", ",", "sample_num", "=", "300000", ",", "initializer", "=", "initializer", ",", "prior_precision", "=", "1.0", ",", "learning_rate", "=", "1E-3", ",", "L", "=", "10", ",", "dev", "=", "dev", "(", "gpu_id", ")", ")" ]	Run HMC on toy dataset	[ "Run", "HMC", "on", "toy", "dataset" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/bdk_demo.py#L300-L312	train	Run HMC on toy 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(chr(126 - 78) + chr(0b1101111) + chr(0b110010) + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o45) + '\061' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\063' + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(5848 - 5737) + '\x31' + '\065' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10047 - 9936) + chr(0b11011 + 0o30) + chr(0b110110) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + '\x32' + chr(51) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100100 + 0o17) + chr(0b110000) + chr(48), 25994 - 25986), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1704 - 1655) + chr(0b110000) + chr(0b110001), 39715 - 39707), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(187 - 137) + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7025 - 6914) + '\x32' + chr(0b110111) + chr(0b10111 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(2132 - 2080) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + '\x33' + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9(chr(2069 - 2021) + chr(0b1101111) + chr(0b110011) + chr(0b1000 + 0o57) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b0 + 0o62) + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(395 - 346) + chr(0b111 + 0o51) + chr(0b1111 + 0o42), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11 + 0o57) + chr(53) + chr(50), 0o10), ehT0Px3KOsy9(chr(2232 - 2184) + chr(0b1101111) + chr(0b101010 + 0o11) + '\x30' + '\060', 8), ehT0Px3KOsy9('\060' + chr(11650 - 11539) + chr(0b110011) + chr(1660 - 1611) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52) + chr(1727 - 1675), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\066' + chr(317 - 269), 13094 - 13086), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + '\061' + chr(0b110000) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(7205 - 7094) + '\x31' + chr(0b110100) + chr(0b110000 + 0o4), 50589 - 50581), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(0b11 + 0o62) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\060', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b10010 + 0o135) + chr(51) + '\x33' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b10000 + 0o42) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(1582 - 1532) + chr(0b110100) + '\061', 0o10), ehT0Px3KOsy9(chr(259 - 211) + '\157' + '\x37' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11092 - 10981) + '\x32' + chr(53) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(49) + chr(73 - 18) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + chr(53), 20829 - 20821), ehT0Px3KOsy9(chr(0b110000) + chr(3559 - 3448) + chr(2226 - 2177) + '\x36' + chr(2410 - 2358), 0o10), ehT0Px3KOsy9(chr(90 - 42) + '\157' + '\x31' + chr(0b110110) + chr(865 - 810), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\063' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(860 - 811) + chr(0b101010 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110100), 37354 - 37346)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(941 - 893) + chr(0b100101 + 0o112) + '\065' + chr(0b100011 + 0o15), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), '\x64' + chr(0b1100101) + chr(7668 - 7569) + chr(0b1101111) + chr(2619 - 2519) + chr(2187 - 2086))('\x75' + chr(0b1110100) + chr(9755 - 9653) + '\055' + chr(2357 - 2301)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def aRIeBBwNP90y(zi7tvpcAQk_H=None): (xEgrFJ0REugl, cirEqDm6EMgP, iWSGU7PkZMSJ, kEjec_nbBPWJ) = eA0rSU01IahN() DHQYeUC5GBb8 = cirEqDm6EMgP.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(148 - 100), 8)] E9rQ2AW8Y03A = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 0o10) / 9.0 DyzboKL9cczb = X94FQOD_fU7o(ehT0Px3KOsy9(chr(967 - 919) + '\x6f' + chr(492 - 443), 8), E9rQ2AW8Y03A) l48nAKgbtcOz = (DHQYeUC5GBb8,) + xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\061', 8):] Cw9XGdlwj874 = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd+l\x0e'), chr(100) + chr(1244 - 1143) + chr(99) + chr(0b11111 + 0o120) + chr(0b1100100) + '\145')(chr(8537 - 8420) + '\x74' + '\x66' + chr(0b101101) + '\x38'): Vy_CFRcuYrTj.zeros(l48nAKgbtcOz, ctx=KUGShP2Xd_zs(zi7tvpcAQk_H)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xed/y\x0c\x9b\xf8\xb2\x1e\xe0v\xc9\x11\xac\x8a\xcd-\xcb\xa2\xacH'), chr(100) + '\x65' + chr(0b110010 + 0o61) + '\157' + '\144' + '\145')('\165' + '\164' + '\x66' + chr(45) + chr(1257 - 1201)): Vy_CFRcuYrTj.zeros((DHQYeUC5GBb8, ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(1236 - 1187), 8)), ctx=KUGShP2Xd_zs(zi7tvpcAQk_H))} kwfuYzkY5C57 = CIVheOt0RKQX.init.Uniform(0.07) QV6apTHv2usV = bTRd72HmOHW6(DyzboKL9cczb, data_inputs=Cw9XGdlwj874, X=xEgrFJ0REugl, Y=cirEqDm6EMgP, X_test=iWSGU7PkZMSJ, Y_test=kEjec_nbBPWJ, sample_num=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(1975 - 1926) + chr(312 - 263) + chr(0b1111 + 0o42) + chr(0b100010 + 0o25) + chr(0b110100) + '\x30', ord("\x08")), initializer=kwfuYzkY5C57, prior_precision=1.0, learning_rate=0.001, L=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\062', 8), dev=KUGShP2Xd_zs(zi7tvpcAQk_H))
apache/incubator-mxnet	example/bayesian-methods/bdk_demo.py	run_synthetic_SGLD	def run_synthetic_SGLD(): """Run synthetic SGLD""" theta1 = 0 theta2 = 1 sigma1 = numpy.sqrt(10) sigma2 = 1 sigmax = numpy.sqrt(2) X = load_synthetic(theta1=theta1, theta2=theta2, sigmax=sigmax, num=100) minibatch_size = 1 total_iter_num = 1000000 lr_scheduler = SGLDScheduler(begin_rate=0.01, end_rate=0.0001, total_iter_num=total_iter_num, factor=0.55) optimizer = mx.optimizer.create('sgld', learning_rate=None, rescale_grad=1.0, lr_scheduler=lr_scheduler, wd=0) updater = mx.optimizer.get_updater(optimizer) theta = mx.random.normal(0, 1, (2,), mx.cpu()) grad = nd.empty((2,), mx.cpu()) samples = numpy.zeros((2, total_iter_num)) start = time.time() for i in range(total_iter_num): if (i + 1) % 100000 == 0: end = time.time() print("Iter:%d, Time spent: %f" % (i + 1, end - start)) start = time.time() ind = numpy.random.randint(0, X.shape[0]) synthetic_grad(X[ind], theta, sigma1, sigma2, sigmax, rescale_grad=X.shape[0] / float(minibatch_size), grad=grad) updater('theta', grad, theta) samples[:, i] = theta.asnumpy() plt.hist2d(samples[0, :], samples[1, :], (200, 200), cmap=plt.cm.jet) plt.colorbar() plt.show()	python	def run_synthetic_SGLD(): """Run synthetic SGLD""" theta1 = 0 theta2 = 1 sigma1 = numpy.sqrt(10) sigma2 = 1 sigmax = numpy.sqrt(2) X = load_synthetic(theta1=theta1, theta2=theta2, sigmax=sigmax, num=100) minibatch_size = 1 total_iter_num = 1000000 lr_scheduler = SGLDScheduler(begin_rate=0.01, end_rate=0.0001, total_iter_num=total_iter_num, factor=0.55) optimizer = mx.optimizer.create('sgld', learning_rate=None, rescale_grad=1.0, lr_scheduler=lr_scheduler, wd=0) updater = mx.optimizer.get_updater(optimizer) theta = mx.random.normal(0, 1, (2,), mx.cpu()) grad = nd.empty((2,), mx.cpu()) samples = numpy.zeros((2, total_iter_num)) start = time.time() for i in range(total_iter_num): if (i + 1) % 100000 == 0: end = time.time() print("Iter:%d, Time spent: %f" % (i + 1, end - start)) start = time.time() ind = numpy.random.randint(0, X.shape[0]) synthetic_grad(X[ind], theta, sigma1, sigma2, sigmax, rescale_grad=X.shape[0] / float(minibatch_size), grad=grad) updater('theta', grad, theta) samples[:, i] = theta.asnumpy() plt.hist2d(samples[0, :], samples[1, :], (200, 200), cmap=plt.cm.jet) plt.colorbar() plt.show()	[ "def", "run_synthetic_SGLD", "(", ")", ":", "theta1", "=", "0", "theta2", "=", "1", "sigma1", "=", "numpy", ".", "sqrt", "(", "10", ")", "sigma2", "=", "1", "sigmax", "=", "numpy", ".", "sqrt", "(", "2", ")", "X", "=", "load_synthetic", "(", "theta1", "=", "theta1", ",", "theta2", "=", "theta2", ",", "sigmax", "=", "sigmax", ",", "num", "=", "100", ")", "minibatch_size", "=", "1", "total_iter_num", "=", "1000000", "lr_scheduler", "=", "SGLDScheduler", "(", "begin_rate", "=", "0.01", ",", "end_rate", "=", "0.0001", ",", "total_iter_num", "=", "total_iter_num", ",", "factor", "=", "0.55", ")", "optimizer", "=", "mx", ".", "optimizer", ".", "create", "(", "'sgld'", ",", "learning_rate", "=", "None", ",", "rescale_grad", "=", "1.0", ",", "lr_scheduler", "=", "lr_scheduler", ",", "wd", "=", "0", ")", "updater", "=", "mx", ".", "optimizer", ".", "get_updater", "(", "optimizer", ")", "theta", "=", "mx", ".", "random", ".", "normal", "(", "0", ",", "1", ",", "(", "2", ",", ")", ",", "mx", ".", "cpu", "(", ")", ")", "grad", "=", "nd", ".", "empty", "(", "(", "2", ",", ")", ",", "mx", ".", "cpu", "(", ")", ")", "samples", "=", "numpy", ".", "zeros", "(", "(", "2", ",", "total_iter_num", ")", ")", "start", "=", "time", ".", "time", "(", ")", "for", "i", "in", "range", "(", "total_iter_num", ")", ":", "if", "(", "i", "+", "1", ")", "%", "100000", "==", "0", ":", "end", "=", "time", ".", "time", "(", ")", "print", "(", "\"Iter:%d, Time spent: %f\"", "%", "(", "i", "+", "1", ",", "end", "-", "start", ")", ")", "start", "=", "time", ".", "time", "(", ")", "ind", "=", "numpy", ".", "random", ".", "randint", "(", "0", ",", "X", ".", "shape", "[", "0", "]", ")", "synthetic_grad", "(", "X", "[", "ind", "]", ",", "theta", ",", "sigma1", ",", "sigma2", ",", "sigmax", ",", "rescale_grad", "=", "X", ".", "shape", "[", "0", "]", "/", "float", "(", "minibatch_size", ")", ",", "grad", "=", "grad", ")", "updater", "(", "'theta'", ",", "grad", ",", "theta", ")", "samples", "[", ":", ",", "i", "]", "=", "theta", ".", "asnumpy", "(", ")", "plt", ".", "hist2d", "(", "samples", "[", "0", ",", ":", "]", ",", "samples", "[", "1", ",", ":", "]", ",", "(", "200", ",", "200", ")", ",", "cmap", "=", "plt", ".", "cm", ".", "jet", ")", "plt", ".", "colorbar", "(", ")", "plt", ".", "show", "(", ")" ]	Run synthetic SGLD	[ "Run", "synthetic", "SGLD" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/bayesian-methods/bdk_demo.py#L315-L349	train	Run synthetic SGLD	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(49) + chr(772 - 722), 50036 - 50028), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(2258 - 2209) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1864 - 1814) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011 + 0o0) + '\067' + chr(0b1100 + 0o52), 0b1000), ehT0Px3KOsy9(chr(677 - 629) + chr(2613 - 2502) + chr(49) + chr(50) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1758 - 1708) + chr(51) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1941 - 1892) + chr(55) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o13) + chr(0b1011 + 0o46) + chr(0b110001), 63289 - 63281), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b101 + 0o152) + chr(0b10 + 0o57) + chr(0b110101) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5308 - 5197) + chr(50) + chr(2677 - 2624) + chr(1709 - 1660), 8740 - 8732), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(51) + chr(49) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b10000 + 0o40) + chr(0b110000), 28393 - 28385), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1783 - 1731) + '\063', 0o10), ehT0Px3KOsy9(chr(168 - 120) + '\x6f' + chr(2286 - 2236) + chr(1187 - 1133) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b10111 + 0o40) + '\063', 44629 - 44621), ehT0Px3KOsy9('\060' + '\x6f' + chr(1788 - 1739) + chr(48) + chr(0b1 + 0o57), 0o10), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + '\063' + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1203 - 1149), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1 + 0o61) + '\062' + chr(766 - 716), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\x32' + '\x36', 0o10), ehT0Px3KOsy9(chr(163 - 115) + chr(111) + chr(0b110000 + 0o4) + chr(2096 - 2047), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1671 - 1616) + chr(0b1011 + 0o47), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1363 - 1252) + '\x32' + chr(49), 34215 - 34207), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\060', 14571 - 14563), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10 + 0o60) + chr(0b110100) + '\x37', 0o10), ehT0Px3KOsy9(chr(614 - 566) + chr(0b1100110 + 0o11) + chr(203 - 152) + chr(0b110001) + chr(2753 - 2700), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000 + 0o3) + chr(53) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(50) + '\067' + chr(0b10111 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4446 - 4335) + '\062' + chr(2170 - 2116) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\060' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(3659 - 3548) + chr(50) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + '\065' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(9374 - 9263) + chr(1508 - 1457) + chr(1073 - 1018), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111010 + 0o65) + '\x31' + chr(0b11101 + 0o25) + chr(730 - 675), 54650 - 54642), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2519 - 2468) + chr(0b1010 + 0o47) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2484 - 2434) + chr(0b110011 + 0o1) + chr(1961 - 1907), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\062' + chr(0b110101) + chr(1579 - 1529), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\061' + '\063' + '\065', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2050 - 1997) + chr(2064 - 2016), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'$'), '\144' + chr(0b101 + 0o140) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(10005 - 9904))(chr(0b1110101) + chr(0b1011 + 0o151) + chr(0b101001 + 0o75) + chr(0b100110 + 0o7) + chr(0b100011 + 0o25)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def WDEHtV7B9G_3(): _RcyVnTvGwpB = ehT0Px3KOsy9(chr(48) + chr(3596 - 3485) + '\x30', ord("\x08")) jMbPw3dUH_aq = ehT0Px3KOsy9(chr(1794 - 1746) + '\157' + chr(439 - 390), 0o10) _y2EjpvmR_ku = n8mpNwkrxOdz.sqrt(ehT0Px3KOsy9(chr(2080 - 2032) + chr(0b1101111) + '\x31' + '\062', 8)) j5WbCra75onG = ehT0Px3KOsy9(chr(2182 - 2134) + chr(8190 - 8079) + chr(0b110001), 8) ye6IkbD5qK1W = n8mpNwkrxOdz.sqrt(ehT0Px3KOsy9(chr(48) + '\157' + chr(165 - 115), 0o10)) xEgrFJ0REugl = QPvTJTki5lcs(theta1=_RcyVnTvGwpB, theta2=jMbPw3dUH_aq, sigmax=ye6IkbD5qK1W, num=ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(3096 - 2985) + chr(49) + '\x34' + chr(52), 25803 - 25795)) DHQYeUC5GBb8 = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8) hs31OB1W5mno = ehT0Px3KOsy9(chr(288 - 240) + '\157' + chr(51) + '\066' + '\064' + chr(144 - 95) + '\x31' + '\060' + chr(0b110000), 0o10) sEnxNQ9I7JN9 = wBLv5vlYRJmx(begin_rate=0.01, end_rate=0.0001, total_iter_num=hs31OB1W5mno, factor=0.55) XdKNcYRObPK3 = CIVheOt0RKQX.optimizer.zXm8hKpI6bmL(xafqLlk3kkUe(SXOLrMavuUCe(b'y\xaa~\x9a'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1101 + 0o150) + chr(116) + chr(0b1100110) + '\055' + chr(56)), learning_rate=None, rescale_grad=1.0, lr_scheduler=sEnxNQ9I7JN9, wd=ehT0Px3KOsy9(chr(801 - 753) + '\x6f' + chr(0b110000), 8)) xZ9ED1z8lews = CIVheOt0RKQX.optimizer.get_updater(XdKNcYRObPK3) E2KkDYRi6XTa = CIVheOt0RKQX.random.normal(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(8632 - 8521) + chr(49), 8), (ehT0Px3KOsy9('\x30' + chr(111) + chr(1894 - 1844), 8),), CIVheOt0RKQX.cpu()) RF_2NucJiY7o = Vy_CFRcuYrTj.empty((ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010 + 0o0), 8),), CIVheOt0RKQX.cpu()) db1_IZvznkcy = n8mpNwkrxOdz.zeros((ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b100001 + 0o116) + chr(50), 8), hs31OB1W5mno)) avRbFsnfJxQj = ltvhPP4VhXre.time() for WVxHKyX45z_L in vQr8gNKaIaWE(hs31OB1W5mno): if (WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + '\061', 8)) % ehT0Px3KOsy9('\x30' + chr(12131 - 12020) + chr(0b11101 + 0o26) + chr(100 - 52) + '\x33' + chr(1954 - 1904) + '\x34' + chr(0b110000), 0o10) == ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(326 - 278), 8): whWDZq5_lP01 = ltvhPP4VhXre.time() zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'C\xb9w\x8cl\xbd\x1deN\xfd\xa7\xada\x03\xc6\x8b%\xaar\xa8\xf6\x04T'), chr(100) + chr(6519 - 6418) + chr(8953 - 8854) + chr(0b110001 + 0o76) + '\144' + chr(101))('\165' + chr(0b1110100) + '\146' + chr(45) + '\x38') % (WVxHKyX45z_L + ehT0Px3KOsy9('\060' + chr(9508 - 9397) + chr(1394 - 1345), 8), whWDZq5_lP01 - avRbFsnfJxQj)) avRbFsnfJxQj = ltvhPP4VhXre.time() r3s_x88rHjuC = n8mpNwkrxOdz.random.FXbppO8HYrND(ehT0Px3KOsy9(chr(1420 - 1372) + chr(0b11110 + 0o121) + chr(897 - 849), 8), xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(1749 - 1701), 8)]) AIHzbkuld8Ni(xEgrFJ0REugl[r3s_x88rHjuC], E2KkDYRi6XTa, _y2EjpvmR_ku, j5WbCra75onG, ye6IkbD5qK1W, rescale_grad=xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xacg\xa70\xd4\x1e%:\xd9\xad\xa2'), chr(3179 - 3079) + chr(6174 - 6073) + chr(0b1001111 + 0o24) + chr(111) + chr(100) + chr(3017 - 2916))('\x75' + '\x74' + chr(0b1100110) + chr(0b11000 + 0o25) + chr(0b111000)))[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8)] / kkSX4ccExqw4(DHQYeUC5GBb8), grad=RF_2NucJiY7o) xZ9ED1z8lews(xafqLlk3kkUe(SXOLrMavuUCe(b'~\xa5w\x8a7'), chr(0b1010011 + 0o21) + chr(8312 - 8211) + '\x63' + chr(0b1101111) + chr(2129 - 2029) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'), RF_2NucJiY7o, E2KkDYRi6XTa) db1_IZvznkcy[:, WVxHKyX45z_L] = E2KkDYRi6XTa.asnumpy() xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'b\xa4a\x8ad\xfc'), chr(100) + chr(0b1001110 + 0o27) + chr(0b1001111 + 0o24) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(6176 - 6059) + '\x74' + '\x66' + chr(0b10111 + 0o26) + chr(0b111000)))(db1_IZvznkcy[ehT0Px3KOsy9('\060' + '\157' + chr(48), 8), :], db1_IZvznkcy[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o3), 8), :], (ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110001) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(625 - 514) + chr(0b110011) + '\061' + chr(0b110000), 8)), cmap=xafqLlk3kkUe(eRubm8FH879n.cm, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa8f'), chr(0b1100100) + chr(0b1100101) + chr(0b1001 + 0o132) + chr(5966 - 5855) + chr(0b11010 + 0o112) + '\x65')('\165' + '\164' + chr(0b11000 + 0o116) + chr(1744 - 1699) + chr(0b111000)))) xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'i\xa2~\x91$\xfa\x18;'), '\x64' + '\145' + '\143' + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b100100 + 0o120) + chr(102) + chr(45) + '\x38'))() xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xa5}\x89'), '\144' + '\x65' + chr(0b10000 + 0o123) + '\x6f' + '\x64' + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + chr(0b1100 + 0o54)))()
apache/incubator-mxnet	example/ssd/tools/prepare_dataset.py	load_pascal	def load_pascal(image_set, year, devkit_path, shuffle=False): """ wrapper function for loading pascal voc dataset Parameters: ---------- image_set : str train, trainval... year : str 2007, 2012 or combinations splitted by comma devkit_path : str root directory of dataset shuffle : bool whether to shuffle initial list Returns: ---------- Imdb """ image_set = [y.strip() for y in image_set.split(',')] assert image_set, "No image_set specified" year = [y.strip() for y in year.split(',')] assert year, "No year specified" # make sure (# sets == # years) if len(image_set) > 1 and len(year) == 1: year = year * len(image_set) if len(image_set) == 1 and len(year) > 1: image_set = image_set * len(year) assert len(image_set) == len(year), "Number of sets and year mismatch" imdbs = [] for s, y in zip(image_set, year): imdbs.append(PascalVoc(s, y, devkit_path, shuffle, is_train=True)) if len(imdbs) > 1: return ConcatDB(imdbs, shuffle) else: return imdbs[0]	python	def load_pascal(image_set, year, devkit_path, shuffle=False): """ wrapper function for loading pascal voc dataset Parameters: ---------- image_set : str train, trainval... year : str 2007, 2012 or combinations splitted by comma devkit_path : str root directory of dataset shuffle : bool whether to shuffle initial list Returns: ---------- Imdb """ image_set = [y.strip() for y in image_set.split(',')] assert image_set, "No image_set specified" year = [y.strip() for y in year.split(',')] assert year, "No year specified" # make sure (# sets == # years) if len(image_set) > 1 and len(year) == 1: year = year * len(image_set) if len(image_set) == 1 and len(year) > 1: image_set = image_set * len(year) assert len(image_set) == len(year), "Number of sets and year mismatch" imdbs = [] for s, y in zip(image_set, year): imdbs.append(PascalVoc(s, y, devkit_path, shuffle, is_train=True)) if len(imdbs) > 1: return ConcatDB(imdbs, shuffle) else: return imdbs[0]	[ "def", "load_pascal", "(", "image_set", ",", "year", ",", "devkit_path", ",", "shuffle", "=", "False", ")", ":", "image_set", "=", "[", "y", ".", "strip", "(", ")", "for", "y", "in", "image_set", ".", "split", "(", "','", ")", "]", "assert", "image_set", ",", "\"No image_set specified\"", "year", "=", "[", "y", ".", "strip", "(", ")", "for", "y", "in", "year", ".", "split", "(", "','", ")", "]", "assert", "year", ",", "\"No year specified\"", "# make sure (# sets == # years)", "if", "len", "(", "image_set", ")", ">", "1", "and", "len", "(", "year", ")", "==", "1", ":", "year", "=", "year", "", "len", "(", "image_set", ")", "if", "len", "(", "image_set", ")", "==", "1", "and", "len", "(", "year", ")", ">", "1", ":", "image_set", "=", "image_set", "", "len", "(", "year", ")", "assert", "len", "(", "image_set", ")", "==", "len", "(", "year", ")", ",", "\"Number of sets and year mismatch\"", "imdbs", "=", "[", "]", "for", "s", ",", "y", "in", "zip", "(", "image_set", ",", "year", ")", ":", "imdbs", ".", "append", "(", "PascalVoc", "(", "s", ",", "y", ",", "devkit_path", ",", "shuffle", ",", "is_train", "=", "True", ")", ")", "if", "len", "(", "imdbs", ")", ">", "1", ":", "return", "ConcatDB", "(", "imdbs", ",", "shuffle", ")", "else", ":", "return", "imdbs", "[", "0", "]" ]	wrapper function for loading pascal voc dataset Parameters: ---------- image_set : str train, trainval... year : str 2007, 2012 or combinations splitted by comma devkit_path : str root directory of dataset shuffle : bool whether to shuffle initial list Returns: ---------- Imdb	[ "wrapper", "function", "for", "loading", "pascal", "voc", "dataset" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/tools/prepare_dataset.py#L31-L68	train	wrapper function for loading pascal voc 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) + '\062' + chr(52) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5720 - 5609) + chr(0b1001 + 0o56) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8704 - 8593) + '\062' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x33' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110000) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(2281 - 2233) + chr(9230 - 9119) + '\064' + '\065', 1702 - 1694), ehT0Px3KOsy9(chr(1733 - 1685) + chr(111) + chr(0b110011) + chr(1296 - 1244) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(665 - 617) + '\x6f' + chr(0b110011 + 0o0) + chr(53) + chr(177 - 127), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100111 + 0o12) + chr(1390 - 1341) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(1163 - 1109), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(0b10110 + 0o35) + '\x31' + chr(48), 0o10), ehT0Px3KOsy9(chr(101 - 53) + chr(10196 - 10085) + chr(224 - 175) + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\063' + chr(0b110100), 33605 - 33597), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\067' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1859 - 1810) + '\x36' + '\066', 61954 - 61946), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(2136 - 2083) + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110100) + chr(144 - 91), 8), ehT0Px3KOsy9('\x30' + chr(9282 - 9171) + chr(0b110001) + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b100111 + 0o110) + chr(2391 - 2337) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(764 - 716) + chr(0b1100 + 0o143) + '\x35' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(54) + chr(635 - 585), 31101 - 31093), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10110 + 0o35) + chr(0b10 + 0o61) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b10110 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\062' + chr(53), 38906 - 38898), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(49) + chr(51) + '\x36', 13725 - 13717), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(6562 - 6451) + chr(0b110011) + chr(2224 - 2173) + chr(51), 0o10), ehT0Px3KOsy9(chr(689 - 641) + chr(111) + '\061' + chr(0b110010) + chr(1725 - 1674), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110110) + chr(0b110000 + 0o0), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x31' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b110100) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2466 - 2415) + chr(0b110 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b11 + 0o154) + chr(0b110100) + '\062', 42025 - 42017), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1844 - 1795) + chr(0b100000 + 0o23), 0b1000), ehT0Px3KOsy9(chr(1011 - 963) + chr(0b1000 + 0o147) + '\063' + chr(117 - 67) + chr(2420 - 2370), 4510 - 4502), ehT0Px3KOsy9(chr(2263 - 2215) + '\x6f' + chr(0b110001) + '\x34' + chr(881 - 831), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110000) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(1390 - 1279) + chr(0b110011) + chr(55) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(2887 - 2832) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b100101 + 0o14) + chr(53) + chr(1488 - 1436), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + '\065' + chr(0b0 + 0o60), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), chr(783 - 683) + '\x65' + '\143' + '\x6f' + '\144' + chr(0b10010 + 0o123))('\165' + '\164' + chr(0b1100110) + chr(1064 - 1019) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def IqOYiYpzBWAP(M5mZZ0d_s9le, tHDbziHu8esk, KPGfTMgwkwOX, iVWwODfFXHPF=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100110 + 0o12), ord("\x08"))): M5mZZ0d_s9le = [SqiSOtYOqOJH.strip() for SqiSOtYOqOJH in M5mZZ0d_s9le.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), chr(100) + chr(101) + chr(99) + '\157' + chr(0b101101 + 0o67) + '\145')(chr(12123 - 12006) + chr(0b100001 + 0o123) + '\x66' + '\x2d' + chr(56)))] assert M5mZZ0d_s9le, xafqLlk3kkUe(SXOLrMavuUCe(b'\xedP0\xf4D\x81\x8f\x17U\xad;\xfcJ\x06IF\x0bU@W\xba'), chr(0b1001001 + 0o33) + chr(101) + chr(0b1010011 + 0o20) + chr(0b1100101 + 0o12) + '\x64' + chr(0b1100101))(chr(3637 - 3520) + '\x74' + chr(0b1100110) + '\x2d' + chr(56)) tHDbziHu8esk = [SqiSOtYOqOJH.strip() for SqiSOtYOqOJH in tHDbziHu8esk.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), chr(4264 - 4164) + chr(0b1100101) + '\143' + chr(8933 - 8822) + chr(5885 - 5785) + '\x65')(chr(1552 - 1435) + chr(116) + chr(4130 - 4028) + chr(1085 - 1040) + chr(2068 - 2012)))] assert tHDbziHu8esk, xafqLlk3kkUe(SXOLrMavuUCe(b'\xedP0\xe4"D\x94\xca;V\xad,\xb5_\x1fIA'), chr(0b1100100) + chr(5671 - 5570) + chr(0b111110 + 0o45) + chr(0b1101111) + chr(100) + chr(101))(chr(8772 - 8655) + chr(0b1110100) + chr(0b1100110) + chr(1276 - 1231) + chr(0b1010 + 0o56)) if c2A0yzQpDQB3(M5mZZ0d_s9le) > ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(0b11101 + 0o24), 0o10) and c2A0yzQpDQB3(tHDbziHu8esk) == ehT0Px3KOsy9(chr(1760 - 1712) + chr(7744 - 7633) + chr(0b11 + 0o56), 8): tHDbziHu8esk = tHDbziHu8esk c2A0yzQpDQB3(M5mZZ0d_s9le) if c2A0yzQpDQB3(M5mZZ0d_s9le) == ehT0Px3KOsy9(chr(0b110000) + chr(9605 - 9494) + '\x31', 8) and c2A0yzQpDQB3(tHDbziHu8esk) > ehT0Px3KOsy9('\060' + chr(3281 - 3170) + chr(0b100000 + 0o21), 8): M5mZZ0d_s9le = M5mZZ0d_s9le * c2A0yzQpDQB3(tHDbziHu8esk) assert c2A0yzQpDQB3(M5mZZ0d_s9le) == c2A0yzQpDQB3(tHDbziHu8esk), xafqLlk3kkUe(SXOLrMavuUCe(b'\xedJ}\xff"W\xc6\x85.\x06\xbb*\xa8JVMK\x06\x13PW\xbf{u3\xb2 \x9d+TyJ'), chr(0b1100100) + chr(263 - 162) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(12805 - 12688) + chr(0b1110100) + chr(102) + '\x2d' + '\070') BFbBKyVRq9oV = [] for (vGrByMSYMp9h, SqiSOtYOqOJH) in pZ0NK2y6HRbn(M5mZZ0d_s9le, tHDbziHu8esk): xafqLlk3kkUe(BFbBKyVRq9oV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2O`\xf8)A'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1011000 + 0o27) + chr(100) + '\145')(chr(0b100010 + 0o123) + chr(0b1101011 + 0o11) + chr(102) + chr(137 - 92) + '\x38'))(jI1DuEROyBLr(vGrByMSYMp9h, SqiSOtYOqOJH, KPGfTMgwkwOX, iVWwODfFXHPF, is_train=ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8))) if c2A0yzQpDQB3(BFbBKyVRq9oV) > ehT0Px3KOsy9(chr(1936 - 1888) + chr(111) + chr(49), 8): return RY_keamxwCJ1(BFbBKyVRq9oV, iVWwODfFXHPF) else: return BFbBKyVRq9oV[ehT0Px3KOsy9('\060' + '\157' + '\060', 8)]
apache/incubator-mxnet	example/ssd/tools/prepare_dataset.py	load_coco	def load_coco(image_set, dirname, shuffle=False): """ wrapper function for loading ms coco dataset Parameters: ---------- image_set : str train2014, val2014, valminusminival2014, minival2014 dirname: str root dir for coco shuffle: boolean initial shuffle """ anno_files = ['instances_' + y.strip() + '.json' for y in image_set.split(',')] assert anno_files, "No image set specified" imdbs = [] for af in anno_files: af_path = os.path.join(dirname, 'annotations', af) imdbs.append(Coco(af_path, dirname, shuffle=shuffle)) if len(imdbs) > 1: return ConcatDB(imdbs, shuffle) else: return imdbs[0]	python	def load_coco(image_set, dirname, shuffle=False): """ wrapper function for loading ms coco dataset Parameters: ---------- image_set : str train2014, val2014, valminusminival2014, minival2014 dirname: str root dir for coco shuffle: boolean initial shuffle """ anno_files = ['instances_' + y.strip() + '.json' for y in image_set.split(',')] assert anno_files, "No image set specified" imdbs = [] for af in anno_files: af_path = os.path.join(dirname, 'annotations', af) imdbs.append(Coco(af_path, dirname, shuffle=shuffle)) if len(imdbs) > 1: return ConcatDB(imdbs, shuffle) else: return imdbs[0]	[ "def", "load_coco", "(", "image_set", ",", "dirname", ",", "shuffle", "=", "False", ")", ":", "anno_files", "=", "[", "'instances_'", "+", "y", ".", "strip", "(", ")", "+", "'.json'", "for", "y", "in", "image_set", ".", "split", "(", "','", ")", "]", "assert", "anno_files", ",", "\"No image set specified\"", "imdbs", "=", "[", "]", "for", "af", "in", "anno_files", ":", "af_path", "=", "os", ".", "path", ".", "join", "(", "dirname", ",", "'annotations'", ",", "af", ")", "imdbs", ".", "append", "(", "Coco", "(", "af_path", ",", "dirname", ",", "shuffle", "=", "shuffle", ")", ")", "if", "len", "(", "imdbs", ")", ">", "1", ":", "return", "ConcatDB", "(", "imdbs", ",", "shuffle", ")", "else", ":", "return", "imdbs", "[", "0", "]" ]	wrapper function for loading ms coco dataset Parameters: ---------- image_set : str train2014, val2014, valminusminival2014, minival2014 dirname: str root dir for coco shuffle: boolean initial shuffle	[ "wrapper", "function", "for", "loading", "ms", "coco", "dataset" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/tools/prepare_dataset.py#L70-L92	train	loads ms coco 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(chr(0b110000) + '\x6f' + '\062' + chr(616 - 564) + chr(846 - 794), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10001 + 0o42) + chr(51) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34' + chr(1297 - 1243), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(2410 - 2299) + '\062' + '\x34' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110111) + chr(0b11010 + 0o27), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11001 + 0o31) + chr(54) + chr(0b10111 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(675 - 624) + '\x30' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b110111 + 0o70) + '\063' + chr(0b1100 + 0o45) + chr(0b10110 + 0o34), 4630 - 4622), ehT0Px3KOsy9('\060' + chr(3801 - 3690) + '\x35' + chr(50), 0o10), ehT0Px3KOsy9(chr(1784 - 1736) + '\157' + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(54) + chr(0b110101), 48494 - 48486), ehT0Px3KOsy9(chr(48) + chr(3193 - 3082) + chr(2288 - 2233), 45715 - 45707), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9641 - 9530) + chr(0b110010) + chr(0b1001 + 0o53) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2048 - 1998) + '\x33', 8024 - 8016), ehT0Px3KOsy9('\060' + '\x6f' + chr(1331 - 1280) + chr(0b1010 + 0o46) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o6) + chr(49) + chr(2081 - 2032), 61243 - 61235), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b101000 + 0o13) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(588 - 540) + chr(0b100110 + 0o111) + chr(0b11110 + 0o31) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(49) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\063' + chr(0b110110), 56855 - 56847), ehT0Px3KOsy9('\060' + chr(10223 - 10112) + chr(0b110010) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(0b10000 + 0o47) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1487 - 1436) + '\061' + chr(0b110111), 42101 - 42093), ehT0Px3KOsy9('\060' + chr(111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o3) + chr(293 - 242) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b101110 + 0o101) + '\x32' + chr(0b101100 + 0o4) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1063 - 1013) + chr(1216 - 1162) + '\x33', 10407 - 10399), ehT0Px3KOsy9('\x30' + chr(11495 - 11384) + chr(51) + chr(0b1010 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(1465 - 1414) + '\x31' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(597 - 546) + chr(55) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(123 - 72) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + chr(0b110111 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(823 - 772) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10011 + 0o41) + chr(53), 38323 - 38315), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(53) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\065' + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000 + 0o5) + chr(1845 - 1797), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a'), chr(0b1001110 + 0o26) + chr(5282 - 5181) + chr(2834 - 2735) + '\x6f' + chr(100) + chr(737 - 636))(chr(0b10101 + 0o140) + chr(0b1110100) + chr(0b1011111 + 0o7) + chr(1596 - 1551) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def XdxspzoQuCbY(M5mZZ0d_s9le, xT0fStj2MyFU, iVWwODfFXHPF=ehT0Px3KOsy9('\x30' + chr(11218 - 11107) + chr(2045 - 1997), 8)): epHgXGlfcwFT = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xb2U\xd6\x98\xd9\xa0j\xb9u'), chr(118 - 18) + chr(101) + chr(0b110000 + 0o63) + chr(111) + '\144' + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)) + SqiSOtYOqOJH.strip() + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\xb6U\xcd\x97'), '\144' + chr(101) + chr(1716 - 1617) + '\157' + chr(0b1011101 + 0o7) + '\x65')(chr(4016 - 3899) + chr(0b1110100) + '\146' + '\055' + '\x38') for SqiSOtYOqOJH in M5mZZ0d_s9le.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), '\x64' + chr(0b1100101) + chr(99) + chr(10891 - 10780) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(5249 - 5133) + chr(7921 - 7819) + chr(1903 - 1858) + '\070'))] assert epHgXGlfcwFT, xafqLlk3kkUe(SXOLrMavuUCe(b"\xea\xb3\x06\xcb\x94\xd6\xa4j\xeaYa\xc1'\xd6c\xa2*\xb1Zc;w"), chr(0b1100100) + chr(101) + '\143' + chr(0b100100 + 0o113) + chr(0b10100 + 0o120) + chr(0b1100101))('\165' + '\x74' + '\x66' + chr(0b101101) + chr(0b111000)) BFbBKyVRq9oV = [] for q1OIMJSofE3A in epHgXGlfcwFT: H9zAcw6vWThl = oqhJDdMJfuwx.path._oWXztVNnqHF(xT0fStj2MyFU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xb2H\xcd\x8d\xd6\xb7f\xa5Dw'), chr(100) + chr(0b1100101) + chr(3920 - 3821) + '\157' + chr(100) + '\x65')(chr(10068 - 9951) + '\x74' + chr(0b1100110) + '\055' + chr(56)), q1OIMJSofE3A) xafqLlk3kkUe(BFbBKyVRq9oV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xacV\xc7\x97\xd3'), chr(100) + '\x65' + '\x63' + chr(8952 - 8841) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b110010 + 0o64) + chr(0b101101) + chr(56)))(Eo5b8Jwcex4u(H9zAcw6vWThl, xT0fStj2MyFU, shuffle=iVWwODfFXHPF)) if c2A0yzQpDQB3(BFbBKyVRq9oV) > ehT0Px3KOsy9('\060' + '\157' + chr(49), 8): return RY_keamxwCJ1(BFbBKyVRq9oV, iVWwODfFXHPF) else: return BFbBKyVRq9oV[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 8)]
apache/incubator-mxnet	example/named_entity_recognition/src/iterators.py	BucketNerIter.reset	def reset(self): """Resets the iterator to the beginning of the data.""" self.curr_idx = 0 #shuffle data in each bucket random.shuffle(self.idx) for i, buck in enumerate(self.sentences): self.indices[i], self.sentences[i], self.characters[i], self.label[i] = shuffle(self.indices[i], self.sentences[i], self.characters[i], self.label[i]) self.ndindex = [] self.ndsent = [] self.ndchar = [] self.ndlabel = [] #for each bucket of data for i, buck in enumerate(self.sentences): #append the lists with an array self.ndindex.append(ndarray.array(self.indices[i], dtype=self.dtype)) self.ndsent.append(ndarray.array(self.sentences[i], dtype=self.dtype)) self.ndchar.append(ndarray.array(self.characters[i], dtype=self.dtype)) self.ndlabel.append(ndarray.array(self.label[i], dtype=self.dtype))	python	def reset(self): """Resets the iterator to the beginning of the data.""" self.curr_idx = 0 #shuffle data in each bucket random.shuffle(self.idx) for i, buck in enumerate(self.sentences): self.indices[i], self.sentences[i], self.characters[i], self.label[i] = shuffle(self.indices[i], self.sentences[i], self.characters[i], self.label[i]) self.ndindex = [] self.ndsent = [] self.ndchar = [] self.ndlabel = [] #for each bucket of data for i, buck in enumerate(self.sentences): #append the lists with an array self.ndindex.append(ndarray.array(self.indices[i], dtype=self.dtype)) self.ndsent.append(ndarray.array(self.sentences[i], dtype=self.dtype)) self.ndchar.append(ndarray.array(self.characters[i], dtype=self.dtype)) self.ndlabel.append(ndarray.array(self.label[i], dtype=self.dtype))	[ "def", "reset", "(", "self", ")", ":", "self", ".", "curr_idx", "=", "0", "#shuffle data in each bucket", "random", ".", "shuffle", "(", "self", ".", "idx", ")", "for", "i", ",", "buck", "in", "enumerate", "(", "self", ".", "sentences", ")", ":", "self", ".", "indices", "[", "i", "]", ",", "self", ".", "sentences", "[", "i", "]", ",", "self", ".", "characters", "[", "i", "]", ",", "self", ".", "label", "[", "i", "]", "=", "shuffle", "(", "self", ".", "indices", "[", "i", "]", ",", "self", ".", "sentences", "[", "i", "]", ",", "self", ".", "characters", "[", "i", "]", ",", "self", ".", "label", "[", "i", "]", ")", "self", ".", "ndindex", "=", "[", "]", "self", ".", "ndsent", "=", "[", "]", "self", ".", "ndchar", "=", "[", "]", "self", ".", "ndlabel", "=", "[", "]", "#for each bucket of data", "for", "i", ",", "buck", "in", "enumerate", "(", "self", ".", "sentences", ")", ":", "#append the lists with an array", "self", ".", "ndindex", ".", "append", "(", "ndarray", ".", "array", "(", "self", ".", "indices", "[", "i", "]", ",", "dtype", "=", "self", ".", "dtype", ")", ")", "self", ".", "ndsent", ".", "append", "(", "ndarray", ".", "array", "(", "self", ".", "sentences", "[", "i", "]", ",", "dtype", "=", "self", ".", "dtype", ")", ")", "self", ".", "ndchar", ".", "append", "(", "ndarray", ".", "array", "(", "self", ".", "characters", "[", "i", "]", ",", "dtype", "=", "self", ".", "dtype", ")", ")", "self", ".", "ndlabel", ".", "append", "(", "ndarray", ".", "array", "(", "self", ".", "label", "[", "i", "]", ",", "dtype", "=", "self", ".", "dtype", ")", ")" ]	Resets the iterator to the beginning of the data.	[ "Resets", "the", "iterator", "to", "the", "beginning", "of", "the", "data", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/named_entity_recognition/src/iterators.py#L135-L157	train	Resets the iterator to the beginning of the 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('\060' + chr(3426 - 3315) + chr(52) + chr(0b110100), 54873 - 54865), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b101100 + 0o5) + '\x37', 0b1000), ehT0Px3KOsy9(chr(241 - 193) + chr(111) + chr(0b110001) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(368 - 313) + chr(49), 5313 - 5305), ehT0Px3KOsy9(chr(48) + chr(8828 - 8717) + chr(1678 - 1628) + chr(0b10 + 0o57) + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o61) + chr(819 - 769) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(54) + chr(0b1100 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\067', 8), ehT0Px3KOsy9(chr(1879 - 1831) + chr(111) + '\061' + chr(0b110010) + '\062', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(50) + chr(48) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101010 + 0o105) + '\062' + '\x32' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(3210 - 3099) + '\063' + '\062' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(437 - 389) + '\x6f' + '\x32' + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8092 - 7981) + chr(50) + chr(0b110101) + '\x37', 8), ehT0Px3KOsy9(chr(926 - 878) + chr(111) + chr(2512 - 2458) + chr(0b101010 + 0o11), 0b1000), ehT0Px3KOsy9(chr(1403 - 1355) + chr(111) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(2318 - 2267) + chr(0b11111 + 0o27) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(862 - 751) + chr(456 - 406) + chr(49) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(1694 - 1645) + '\060' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\x36', 26204 - 26196), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1235 - 1187) + '\x6f' + chr(0b10011 + 0o36) + '\067' + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + '\062' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x33' + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(0b1110 + 0o45) + '\064' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2115 - 2066) + '\063' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(2079 - 2031) + chr(0b1101111) + chr(0b110011) + chr(0b101011 + 0o5), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\066' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(54) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(50) + chr(2611 - 2558) + '\066', 0o10), ehT0Px3KOsy9(chr(1048 - 1000) + '\157' + chr(0b11000 + 0o33) + chr(52) + chr(2588 - 2535), 53813 - 53805), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(963 - 912) + chr(0b110100) + chr(53), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(55) + chr(0b10010 + 0o41), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110011) + chr(1675 - 1621), 0b1000), ehT0Px3KOsy9(chr(89 - 41) + chr(4642 - 4531) + '\063' + chr(0b1011 + 0o53) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b110 + 0o151) + '\x32' + chr(0b110110) + '\063', 27560 - 27552), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1569 - 1520) + chr(0b101000 + 0o13) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b10010 + 0o37) + chr(0b1011 + 0o46) + chr(0b10101 + 0o41), 46291 - 46283), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(534 - 482) + '\063', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(632 - 584), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\n'), chr(0b1100100) + chr(101) + chr(1513 - 1414) + chr(0b10110 + 0o131) + chr(0b1100100) + chr(0b0 + 0o145))(chr(0b101101 + 0o110) + chr(116) + '\146' + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def G0V856pwkJmZ(oVre8I6UXc3b): oVre8I6UXc3b.L4CrZgoBjkR4 = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 10649 - 10641) xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'Wgx\x1f\xeb\xf9\x96'), chr(0b1100100) + chr(0b1001 + 0o134) + chr(0b11000 + 0o113) + chr(111) + chr(3924 - 3824) + '\x65')(chr(117) + chr(0b1001110 + 0o46) + chr(0b1010011 + 0o23) + chr(0b100111 + 0o6) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'}c\|\x0c\xfe\xcc\xb19\x1b\xef\xfbk'), chr(0b1100100) + chr(4217 - 4116) + '\x63' + chr(7104 - 6993) + chr(7970 - 7870) + '\145')(chr(0b101010 + 0o113) + chr(0b1110100) + '\x66' + chr(1317 - 1272) + chr(56)))) for (WVxHKyX45z_L, kLfQNj3Wf7jr) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Wjc\r\xe8\xfb\x90j!'), '\144' + chr(0b1000110 + 0o37) + chr(0b1100011) + chr(6121 - 6010) + '\x64' + chr(0b1001010 + 0o33))(chr(2426 - 2309) + chr(0b1110100) + '\146' + '\x2d' + chr(2081 - 2025)))): (oVre8I6UXc3b.pIcoaXENl5Pw[WVxHKyX45z_L], oVre8I6UXc3b.tqdrVw7QhW0i[WVxHKyX45z_L], oVre8I6UXc3b.XSmXrabrO_26[WVxHKyX45z_L], oVre8I6UXc3b.TRUOLFLuD08x[WVxHKyX45z_L]) = iVWwODfFXHPF(oVre8I6UXc3b.pIcoaXENl5Pw[WVxHKyX45z_L], oVre8I6UXc3b.tqdrVw7QhW0i[WVxHKyX45z_L], oVre8I6UXc3b.XSmXrabrO_26[WVxHKyX45z_L], oVre8I6UXc3b.TRUOLFLuD08x[WVxHKyX45z_L]) oVre8I6UXc3b.dsJjnH_Mxsz5 = [] oVre8I6UXc3b.g1T5lQc4anOv = [] oVre8I6UXc3b.zjj8LRK8hoAO = [] oVre8I6UXc3b.RnGqRy1AKd0w = [] for (WVxHKyX45z_L, kLfQNj3Wf7jr) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'P~i\x0b\xdb\xe2\xc4^:\xd6\xa0O'), chr(0b10011 + 0o121) + '\145' + chr(0b1100011) + '\157' + chr(100) + chr(0b10111 + 0o116))(chr(5915 - 5798) + chr(116) + '\146' + chr(1506 - 1461) + chr(56)))): xafqLlk3kkUe(oVre8I6UXc3b.ndindex, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x7f}\x1c\xe3\xf1'), chr(100) + chr(7332 - 7231) + chr(8686 - 8587) + chr(5828 - 5717) + chr(0b100100 + 0o100) + chr(8334 - 8233))(chr(8486 - 8369) + '\164' + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'f?h)\xc9\xfd\x83~\xcf\xa5H'), '\x64' + '\x65' + '\143' + '\x6f' + '\144' + chr(764 - 663))(chr(0b1110101) + chr(0b100100 + 0o120) + '\146' + '\055' + chr(1804 - 1748)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'TFn\x16\xec\xcd\xb6A>\xb4\xc0Q'), chr(0b1100100) + chr(0b110100 + 0o61) + chr(0b1001110 + 0o25) + chr(111) + chr(9747 - 9647) + '\x65')('\x75' + '\x74' + '\x66' + chr(0b1101 + 0o40) + '\x38'))[WVxHKyX45z_L], dtype=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\\[@\xc4\xde\x9dj?\xc9\xa7m'), '\144' + '\x65' + chr(0b1100011) + chr(111) + '\144' + chr(0b1010000 + 0o25))(chr(8759 - 8642) + '\164' + chr(0b1100110) + chr(1081 - 1036) + chr(0b10100 + 0o44))))) xafqLlk3kkUe(oVre8I6UXc3b.ndsent, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x7f}\x1c\xe3\xf1'), chr(0b100101 + 0o77) + chr(0b1100101) + chr(6856 - 6757) + '\157' + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1882 - 1837) + chr(56)))(xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'f?h)\xc9\xfd\x83~\xcf\xa5H'), '\x64' + chr(0b1011101 + 0o10) + chr(2257 - 2158) + chr(111) + chr(0b101001 + 0o73) + chr(0b110101 + 0o60))(chr(0b1110101) + chr(8193 - 8077) + chr(2718 - 2616) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'P~i\x0b\xdb\xe2\xc4^:\xd6\xa0O'), '\x64' + '\145' + chr(3978 - 3879) + chr(0b1101111) + chr(5647 - 5547) + chr(5603 - 5502))(chr(1152 - 1035) + chr(116) + '\x66' + chr(45) + chr(0b10000 + 0o50)))[WVxHKyX45z_L], dtype=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\\[@\xc4\xde\x9dj?\xc9\xa7m'), '\x64' + '\x65' + chr(0b1100011) + chr(7799 - 7688) + chr(0b1111 + 0o125) + chr(101))(chr(117) + '\x74' + chr(2134 - 2032) + '\x2d' + '\070')))) xafqLlk3kkUe(oVre8I6UXc3b.ndchar, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x7f}\x1c\xe3\xf1'), chr(0b1100100) + '\145' + '\x63' + chr(0b11011 + 0o124) + chr(100) + chr(0b1010101 + 0o20))(chr(0b1100011 + 0o22) + '\x74' + chr(2057 - 1955) + chr(0b11110 + 0o17) + chr(0b111000)))(xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'f?h)\xc9\xfd\x83~\xcf\xa5H'), chr(0b1010011 + 0o21) + chr(101) + chr(0b1001101 + 0o26) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + chr(7614 - 7498) + chr(0b11101 + 0o111) + '\x2d' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\|\\`!\xff\xf4\x91}\x1d\xde\xa2\x10'), chr(100) + chr(4262 - 4161) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(0b1110011 + 0o2) + '\164' + chr(10306 - 10204) + chr(45) + chr(2353 - 2297)))[WVxHKyX45z_L], dtype=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\\[@\xc4\xde\x9dj?\xc9\xa7m'), chr(100) + chr(0b111111 + 0o46) + chr(2753 - 2654) + chr(0b1101111 + 0o0) + '\x64' + chr(101))(chr(8837 - 8720) + chr(116) + chr(7521 - 7419) + chr(0b101001 + 0o4) + chr(0b111000))))) xafqLlk3kkUe(oVre8I6UXc3b.ndlabel, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x7f}\x1c\xe3\xf1'), chr(100) + chr(1967 - 1866) + '\x63' + '\x6f' + chr(5840 - 5740) + chr(101))(chr(6856 - 6739) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b101001 + 0o17)))(xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'f?h)\xc9\xfd\x83~\xcf\xa5H'), chr(9538 - 9438) + chr(0b1100101) + '\x63' + chr(9612 - 9501) + chr(0b1100100) + '\x65')(chr(12453 - 12336) + chr(0b111010 + 0o72) + chr(7897 - 7795) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'p]X6\xc1\xd3\xbfz\x16\xb1\xa8^'), chr(0b1100100) + chr(0b1010110 + 0o17) + chr(5678 - 5579) + chr(0b1000100 + 0o53) + '\144' + chr(0b11010 + 0o113))(chr(11019 - 10902) + chr(0b1110100) + chr(102) + chr(45) + chr(56)))[WVxHKyX45z_L], dtype=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\\[@\xc4\xde\x9dj?\xc9\xa7m'), chr(6638 - 6538) + chr(0b1000010 + 0o43) + chr(99) + chr(3771 - 3660) + '\x64' + chr(101))(chr(11932 - 11815) + '\x74' + chr(102) + chr(399 - 354) + '\x38'))))
apache/incubator-mxnet	example/named_entity_recognition/src/iterators.py	BucketNerIter.next	def next(self): """Returns the next batch of data.""" if self.curr_idx == len(self.idx): raise StopIteration #i = batches index, j = starting record i, j = self.idx[self.curr_idx] self.curr_idx += 1 indices = self.ndindex[i][j:j + self.batch_size] sentences = self.ndsent[i][j:j + self.batch_size] characters = self.ndchar[i][j:j + self.batch_size] label = self.ndlabel[i][j:j + self.batch_size] return DataBatch([sentences, characters], [label], pad=0, index = indices, bucket_key=self.buckets[i], provide_data=[DataDesc(name=self.data_names[0], shape=sentences.shape, layout=self.layout), DataDesc(name=self.data_names[1], shape=characters.shape, layout=self.layout)], provide_label=[DataDesc(name=self.label_name, shape=label.shape, layout=self.layout)])	python	def next(self): """Returns the next batch of data.""" if self.curr_idx == len(self.idx): raise StopIteration #i = batches index, j = starting record i, j = self.idx[self.curr_idx] self.curr_idx += 1 indices = self.ndindex[i][j:j + self.batch_size] sentences = self.ndsent[i][j:j + self.batch_size] characters = self.ndchar[i][j:j + self.batch_size] label = self.ndlabel[i][j:j + self.batch_size] return DataBatch([sentences, characters], [label], pad=0, index = indices, bucket_key=self.buckets[i], provide_data=[DataDesc(name=self.data_names[0], shape=sentences.shape, layout=self.layout), DataDesc(name=self.data_names[1], shape=characters.shape, layout=self.layout)], provide_label=[DataDesc(name=self.label_name, shape=label.shape, layout=self.layout)])	[ "def", "next", "(", "self", ")", ":", "if", "self", ".", "curr_idx", "==", "len", "(", "self", ".", "idx", ")", ":", "raise", "StopIteration", "#i = batches index, j = starting record", "i", ",", "j", "=", "self", ".", "idx", "[", "self", ".", "curr_idx", "]", "self", ".", "curr_idx", "+=", "1", "indices", "=", "self", ".", "ndindex", "[", "i", "]", "[", "j", ":", "j", "+", "self", ".", "batch_size", "]", "sentences", "=", "self", ".", "ndsent", "[", "i", "]", "[", "j", ":", "j", "+", "self", ".", "batch_size", "]", "characters", "=", "self", ".", "ndchar", "[", "i", "]", "[", "j", ":", "j", "+", "self", ".", "batch_size", "]", "label", "=", "self", ".", "ndlabel", "[", "i", "]", "[", "j", ":", "j", "+", "self", ".", "batch_size", "]", "return", "DataBatch", "(", "[", "sentences", ",", "characters", "]", ",", "[", "label", "]", ",", "pad", "=", "0", ",", "index", "=", "indices", ",", "bucket_key", "=", "self", ".", "buckets", "[", "i", "]", ",", "provide_data", "=", "[", "DataDesc", "(", "name", "=", "self", ".", "data_names", "[", "0", "]", ",", "shape", "=", "sentences", ".", "shape", ",", "layout", "=", "self", ".", "layout", ")", ",", "DataDesc", "(", "name", "=", "self", ".", "data_names", "[", "1", "]", ",", "shape", "=", "characters", ".", "shape", ",", "layout", "=", "self", ".", "layout", ")", "]", ",", "provide_label", "=", "[", "DataDesc", "(", "name", "=", "self", ".", "label_name", ",", "shape", "=", "label", ".", "shape", ",", "layout", "=", "self", ".", "layout", ")", "]", ")" ]	Returns the next batch of data.	[ "Returns", "the", "next", "batch", "of", "data", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/named_entity_recognition/src/iterators.py#L159-L175	train	Returns the next batch of 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(chr(1680 - 1632) + chr(0b1101100 + 0o3) + '\062' + chr(0b110011) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1383 - 1330) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\062' + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + chr(0b110011) + chr(0b11110 + 0o22), 0b1000), ehT0Px3KOsy9(chr(1805 - 1757) + '\157' + '\067' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(565 - 454) + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(0b100101 + 0o15) + chr(579 - 529) + '\065', 8370 - 8362), ehT0Px3KOsy9(chr(971 - 923) + chr(0b1101111) + chr(0b110011) + '\x31' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\x35' + chr(0b1000 + 0o55), 12140 - 12132), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100110 + 0o14) + chr(0b110110) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b0 + 0o62) + chr(0b0 + 0o64) + '\061', 62739 - 62731), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(49) + chr(0b101111 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1490 - 1379) + '\x31' + chr(406 - 354) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(154 - 106) + '\157' + chr(0b110010) + '\067' + '\065', 35851 - 35843), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(0b110000 + 0o7) + chr(0b10001 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(0b11111 + 0o24) + chr(243 - 195) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(795 - 745) + chr(0b100000 + 0o24) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(4042 - 3931) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110110) + chr(1553 - 1500), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(49) + chr(0b110100 + 0o1), 45990 - 45982), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(4111 - 4000) + '\x31' + chr(50) + chr(0b110010), 45612 - 45604), ehT0Px3KOsy9(chr(143 - 95) + chr(6951 - 6840) + chr(0b101000 + 0o12) + chr(98 - 45) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(199 - 144), 11847 - 11839), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x33' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b100000 + 0o117) + '\063' + '\x34' + '\067', 0o10), ehT0Px3KOsy9(chr(1076 - 1028) + chr(0b1101111) + chr(0b1000 + 0o51) + '\x31' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x34' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(469 - 420) + chr(1565 - 1510) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b101001 + 0o12) + '\067', 0b1000), ehT0Px3KOsy9(chr(433 - 385) + '\x6f' + chr(50) + chr(1568 - 1520) + chr(0b110100), 55908 - 55900), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b110000 + 0o3) + '\061' + '\060', 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(50) + chr(52) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b10001 + 0o40) + '\x32', 62120 - 62112), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(664 - 553) + chr(1865 - 1813) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(2595 - 2544), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(1335 - 1285) + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b11011 + 0o32) + '\060', 2547 - 2539)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), '\x64' + '\x65' + chr(0b1 + 0o142) + chr(0b10000 + 0o137) + chr(9853 - 9753) + '\145')(chr(0b101 + 0o160) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(637 - 581)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def nSwwHEeM4cxI(oVre8I6UXc3b): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\x1b\xdbFBZU\xd7\xa2F\xe2\x95'), chr(2698 - 2598) + chr(0b1100101) + '\x63' + chr(111) + chr(403 - 303) + chr(0b100100 + 0o101))('\x75' + chr(116) + chr(102) + '\055' + chr(947 - 891))) == c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7C\xe9Akdx\xa3\x81C\xdb\xec'), chr(0b10111 + 0o115) + chr(0b1100101) + chr(0b1011111 + 0o4) + chr(111) + '\144' + chr(0b1100101))(chr(10518 - 10401) + '\x74' + chr(0b1100110) + '\x2d' + '\070'))): raise hr2QaoivbFQ2 (WVxHKyX45z_L, tlORBuYsiw3X) = oVre8I6UXc3b.YlqusYB6InkM[oVre8I6UXc3b.L4CrZgoBjkR4] oVre8I6UXc3b.L4CrZgoBjkR4 += ehT0Px3KOsy9(chr(946 - 898) + chr(111) + chr(0b110001), ord("\x08")) pIcoaXENl5Pw = oVre8I6UXc3b.dsJjnH_Mxsz5[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + oVre8I6UXc3b.ix9dZyeAmUxY] tqdrVw7QhW0i = oVre8I6UXc3b.g1T5lQc4anOv[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + oVre8I6UXc3b.ix9dZyeAmUxY] XSmXrabrO_26 = oVre8I6UXc3b.zjj8LRK8hoAO[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + oVre8I6UXc3b.ix9dZyeAmUxY] TRUOLFLuD08x = oVre8I6UXc3b.RnGqRy1AKd0w[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + oVre8I6UXc3b.ix9dZyeAmUxY] return qiHoopmxV1jh([tqdrVw7QhW0i, XSmXrabrO_26], [TRUOLFLuD08x], pad=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), ord("\x08")), index=pIcoaXENl5Pw, bucket_key=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfcZ\xfb_}II'), '\x64' + '\145' + '\143' + '\x6f' + chr(6905 - 6805) + chr(0b1100101))(chr(11294 - 11177) + '\x74' + chr(102) + '\055' + '\070'))[WVxHKyX45z_L], provide_data=[QGNCb0u8kPLl(name=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfaN\xecUGS[\xf8\xad^'), chr(6925 - 6825) + '\145' + chr(99) + '\x6f' + '\x64' + '\145')('\165' + chr(0b100111 + 0o115) + chr(1799 - 1697) + chr(0b1100 + 0o41) + '\070'))[ehT0Px3KOsy9(chr(0b110000) + chr(153 - 42) + '\x30', 8)], shape=xafqLlk3kkUe(tqdrVw7QhW0i, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0N\xedm~q]\xf9\x9c]\xd3\xc3'), chr(0b110 + 0o136) + chr(101) + chr(99) + chr(0b101101 + 0o102) + chr(0b1101 + 0o127) + '\x65')('\x75' + chr(116) + chr(102) + chr(45) + chr(0b100000 + 0o30))), layout=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6k\xd0\x03WxM\xcf\xbdi\xd1\xc9'), chr(100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + '\x66' + chr(45) + chr(56)))), QGNCb0u8kPLl(name=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfaN\xecUGS[\xf8\xad^'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(10362 - 10251) + '\144' + chr(101))(chr(0b1110101) + chr(0b1011101 + 0o27) + '\x66' + chr(1982 - 1937) + chr(56)))[ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(9716 - 9605) + '\061', 8)], shape=xafqLlk3kkUe(XSmXrabrO_26, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0N\xedm~q]\xf9\x9c]\xd3\xc3'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000))), layout=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6k\xd0\x03WxM\xcf\xbdi\xd1\xc9'), chr(0b1000111 + 0o35) + '\145' + chr(99) + chr(111) + chr(100) + '\x65')(chr(0b11001 + 0o134) + '\x74' + chr(819 - 717) + '\x2d' + chr(1593 - 1537))))], provide_label=[QGNCb0u8kPLl(name=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\x7f\xffuWRq\xe5\x8c@\xdf\xf2'), chr(0b1100100) + '\x65' + chr(0b111000 + 0o53) + '\157' + chr(0b101110 + 0o66) + '\x65')(chr(978 - 861) + chr(116) + chr(4543 - 4441) + '\x2d' + chr(2059 - 2003))), shape=xafqLlk3kkUe(TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0N\xedm~q]\xf9\x9c]\xd3\xc3'), '\144' + '\145' + chr(0b1100011) + chr(3241 - 3130) + chr(6134 - 6034) + chr(0b1100101))(chr(5647 - 5530) + '\x74' + chr(4074 - 3972) + chr(0b100000 + 0o15) + '\070')), layout=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6k\xd0\x03WxM\xcf\xbdi\xd1\xc9'), chr(100) + chr(0b1100101) + '\x63' + chr(0b101111 + 0o100) + '\144' + chr(101))('\x75' + chr(0b1000110 + 0o56) + chr(2739 - 2637) + '\055' + '\x38')))])
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_reshape	def convert_reshape(net, node, module, builder): """Converts a reshape layer from mxnet to coreml. This doesn't currently handle the deprecated parameters for the reshape layer. Parameters ---------- network: net An mxnet network object. layer: node Node to convert. module: module A module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] target_shape = node['shape'] if any(item <= 0 for item in target_shape): raise NotImplementedError('Special dimensional values less than or equal to 0 are not supported yet.' 'Feel free to file an issue here: https://github.com/dmlc/mxnet/issues.') if 'reverse' in node and node['reverse'] == 'True': raise NotImplementedError('"reverse" parameter is not supported by yet.' 'Feel free to file an issue here: https://github.com/dmlc/mxnet/issues.') mode = 0 # CHANNEL_FIRST builder.add_reshape(name, input_name, output_name, target_shape, mode)	python	def convert_reshape(net, node, module, builder): """Converts a reshape layer from mxnet to coreml. This doesn't currently handle the deprecated parameters for the reshape layer. Parameters ---------- network: net An mxnet network object. layer: node Node to convert. module: module A module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] target_shape = node['shape'] if any(item <= 0 for item in target_shape): raise NotImplementedError('Special dimensional values less than or equal to 0 are not supported yet.' 'Feel free to file an issue here: https://github.com/dmlc/mxnet/issues.') if 'reverse' in node and node['reverse'] == 'True': raise NotImplementedError('"reverse" parameter is not supported by yet.' 'Feel free to file an issue here: https://github.com/dmlc/mxnet/issues.') mode = 0 # CHANNEL_FIRST builder.add_reshape(name, input_name, output_name, target_shape, mode)	[ "def", "convert_reshape", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "target_shape", "=", "node", "[", "'shape'", "]", "if", "any", "(", "item", "<=", "0", "for", "item", "in", "target_shape", ")", ":", "raise", "NotImplementedError", "(", "'Special dimensional values less than or equal to 0 are not supported yet.'", "'Feel free to file an issue here: https://github.com/dmlc/mxnet/issues.'", ")", "if", "'reverse'", "in", "node", "and", "node", "[", "'reverse'", "]", "==", "'True'", ":", "raise", "NotImplementedError", "(", "'\"reverse\" parameter is not supported by yet.'", "'Feel free to file an issue here: https://github.com/dmlc/mxnet/issues.'", ")", "mode", "=", "0", "# CHANNEL_FIRST", "builder", ".", "add_reshape", "(", "name", ",", "input_name", ",", "output_name", ",", "target_shape", ",", "mode", ")" ]	Converts a reshape layer from mxnet to coreml. This doesn't currently handle the deprecated parameters for the reshape layer. Parameters ---------- network: net An mxnet network object. layer: node Node to convert. module: module A module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Converts", "a", "reshape", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L81-L113	train	Converts a reshape layer from mxnet to coreml.	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' + '\x32' + chr(55) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1263 - 1214) + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(231 - 183) + chr(0b1101 + 0o142) + '\063' + chr(52) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1221 - 1173) + chr(111) + chr(50) + chr(1126 - 1073) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x31' + chr(0b101 + 0o53) + chr(0b101001 + 0o11), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6479 - 6368) + chr(642 - 590) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(2098 - 2050) + chr(175 - 121), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + chr(1773 - 1722) + '\x30' + chr(1214 - 1163), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b101101 + 0o7) + chr(197 - 149), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x36' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b100110 + 0o13) + chr(48) + chr(0b100111 + 0o13), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(53) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(54) + chr(98 - 43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(51) + chr(0b11000 + 0o30) + '\x33', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1045 - 996) + chr(486 - 432), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b10110 + 0o33) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(51) + chr(49) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2092 - 1981) + chr(0b110010) + chr(0b10000 + 0o41) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(11875 - 11764) + chr(49) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b111111 + 0o60) + chr(0b100101 + 0o15) + '\064' + '\x37', 49616 - 49608), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001 + 0o1) + chr(0b100010 + 0o22) + chr(2006 - 1953), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(3669 - 3558) + chr(0b110010) + chr(0b110010 + 0o0) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(52) + '\066', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(55) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(1385 - 1334) + chr(0b101 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2389 - 2338) + '\x37' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b110010) + '\x36' + '\065', 0o10), ehT0Px3KOsy9(chr(1471 - 1423) + chr(0b1100001 + 0o16) + chr(50) + chr(0b1001 + 0o56) + chr(1017 - 969), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101110 + 0o7) + chr(780 - 732), ord("\x08")), ehT0Px3KOsy9(chr(552 - 504) + '\157' + '\x32' + chr(445 - 396) + chr(2784 - 2731), 21960 - 21952), ehT0Px3KOsy9(chr(928 - 880) + chr(0b100100 + 0o113) + '\061' + chr(0b100011 + 0o20) + chr(0b101110 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\061' + chr(51) + '\x32', 36319 - 36311), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(1435 - 1385) + chr(0b110101) + '\060', 0b1000), ehT0Px3KOsy9(chr(1830 - 1782) + chr(111) + chr(2476 - 2426) + chr(2001 - 1951) + chr(2021 - 1970), 8514 - 8506), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b1001 + 0o52) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + '\x33' + chr(0b0 + 0o63) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1 + 0o60) + chr(0b110011) + chr(49), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x95'), chr(0b1100100) + chr(101) + '\x63' + '\157' + chr(0b11110 + 0o106) + '\145')(chr(117) + chr(116) + '\x66' + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def G1dolEPAFAjI(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x0e\x8d\xca'), chr(3754 - 3654) + chr(101) + chr(7344 - 7245) + '\157' + chr(6806 - 6706) + chr(0b1100101))(chr(0b1110101) + chr(0b110 + 0o156) + '\x66' + chr(0b101101) + chr(56))] nk7Ena0OgGVQ = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b"\xc8\x07\x81\xdf'"), chr(0b1010111 + 0o15) + chr(0b101101 + 0o70) + chr(0b1100011) + chr(0b101000 + 0o107) + '\144' + chr(0b1011000 + 0o15))('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(914 - 858))] if UVSi4XW7eBIM((N7j7ePTXzzI0 <= ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(135 - 87), 0b1000) for N7j7ePTXzzI0 in nk7Ena0OgGVQ)): raise _zJ24Vce7wp0(xafqLlk3kkUe(SXOLrMavuUCe(b"\xe8\x1f\x85\xcc+gIf\xa7\t\x9b'\x00\x84\xaaF .\xa5\xabz\xc6\xc9\xe4CJ\xfc\x96\xd0\xcb[\xad/2\xc9\xfd\xbb\xb6py\xde\x1e\x95\xce.&Q)\xe3P\xd6#\x1c\x92\xe3G!;\xe9\xf8y\xd7\xd5\xfeTM\xb9\x9e\x95\xc1M\xf9u\x1c\xcd\xf6\xf7\xf9d+\xde\n\xc0\xdb-&C/\xaf\x05\xd6#\x00\xd7\xaaZ=:\xac\xabd\xc2\xd7\xf4\x1c\x19\xb4\x8e\xc1\xc8[\xb7tu\xcf\xfa\xef\xb1w;\x95\x0c\x8f\xc2mbH\xa0O\x9b:\x00\x92\xb7\x06'<\xba\xfei\xd4\x8b"), chr(100) + chr(101) + chr(99) + '\x6f' + '\x64' + chr(663 - 562))('\x75' + chr(1829 - 1713) + chr(0b101011 + 0o73) + chr(670 - 625) + chr(0b111000))) if xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\n\x96\xca0u@'), '\x64' + '\145' + '\x63' + chr(111) + '\x64' + '\x65')(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + '\070') in FDgyextYBrUF and FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\n\x96\xca0u@'), '\x64' + chr(7378 - 7277) + chr(0b11101 + 0o106) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + '\x38')] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x1d\x95\xca'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101001 + 0o6) + chr(4981 - 4881) + '\x65')(chr(117) + chr(0b1110100) + chr(9837 - 9735) + chr(45) + chr(0b111000)): raise _zJ24Vce7wp0(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x1d\x85\xd9\'tV#\xe1@\x86#\x1c\x96\xaeL:\xbb\xabe\xd4\x85\xffIM\xfc\x89\xc0\xc8X\xe2).\xcd\xf7\xbb\xbb{y\xc2\n\x94\x81\x04c@\xe3\x06\x84\'\x0b\xd7\xb7Fn)\xa0\xe7i\x87\xc4\xff\x06P\xaf\x89\xc0\xdd\x08\xe5>(\xcd\xa9\xbb\xb1v-\xcb\x1c\xda\x80maL2\xab\x15\x94l\r\x98\xae\x06"\xa5\xe8#\xca\xdd\xffCM\xf3\x93\xc6\xcb]\xe8(t'), chr(8874 - 8774) + chr(9122 - 9021) + '\x63' + chr(111) + chr(1845 - 1745) + chr(101))('\x75' + chr(116) + chr(102) + '\055' + chr(0b111000))) holLFgwB7vsP = ehT0Px3KOsy9('\060' + '\157' + chr(198 - 150), 8) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x0b\x84\xf00cV.\xa2\x10\x93'), chr(0b11100 + 0o110) + chr(4771 - 4670) + chr(798 - 699) + chr(3413 - 3302) + '\x64' + chr(0b1100101))(chr(0b1010 + 0o153) + chr(116) + chr(0b1100110) + chr(0b100110 + 0o7) + '\x38'))(AIvJRzLdDfgF, T1P2HfUVrGuW, RvHisuz8b6tn, nk7Ena0OgGVQ, holLFgwB7vsP)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_transpose	def convert_transpose(net, node, module, builder): """Convert a transpose layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] param = _get_attrs(node) axes = literal_eval(param['axes']) builder.add_permute(name, axes, input_name, output_name)	python	def convert_transpose(net, node, module, builder): """Convert a transpose layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] param = _get_attrs(node) axes = literal_eval(param['axes']) builder.add_permute(name, axes, input_name, output_name)	[ "def", "convert_transpose", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "param", "=", "_get_attrs", "(", "node", ")", "axes", "=", "literal_eval", "(", "param", "[", "'axes'", "]", ")", "builder", ".", "add_permute", "(", "name", ",", "axes", ",", "input_name", ",", "output_name", ")" ]	Convert a transpose layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "a", "transpose", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L116-L138	train	Convert a transpose layer from mxnet to coreml.	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' + '\x31' + chr(0b11 + 0o64) + chr(170 - 115), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1110 + 0o44) + chr(48) + chr(0b101010 + 0o12), 0b1000), ehT0Px3KOsy9(chr(2200 - 2152) + chr(10494 - 10383) + chr(0b110001) + chr(0b110000) + chr(0b100110 + 0o17), 43923 - 43915), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b1110 + 0o50) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1100 + 0o45) + chr(0b110110) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(50) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(934 - 823) + chr(49) + chr(1974 - 1923) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1400 - 1352) + chr(111) + chr(0b110011) + chr(0b10010 + 0o45) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(0b110100) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(51) + chr(1942 - 1892), 22926 - 22918), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(5582 - 5471) + '\061' + chr(0b110000) + chr(0b100010 + 0o23), 8), ehT0Px3KOsy9(chr(0b110000) + chr(6625 - 6514) + chr(51) + chr(1955 - 1907) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010 + 0o4) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(0b110011) + chr(0b100111 + 0o16) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6626 - 6515) + chr(0b101110 + 0o5) + '\062' + chr(0b11011 + 0o32), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(397 - 346) + chr(0b110011) + chr(0b101111 + 0o6), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101111 + 0o4) + chr(0b101001 + 0o10), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063', 3970 - 3962), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(2294 - 2244) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b1 + 0o63) + '\066', 47502 - 47494), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101001 + 0o10) + chr(1725 - 1672) + chr(0b0 + 0o64), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110111) + chr(0b110100), 46998 - 46990), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110010 + 0o0) + chr(2910 - 2856), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1028 - 977) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + chr(697 - 647) + '\x34' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110001) + chr(0b1101 + 0o44) + '\065', 34391 - 34383), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(55) + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + '\063' + '\065' + chr(105 - 55), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(51) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(52) + chr(55), 52479 - 52471), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(1795 - 1746) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12247 - 12136) + chr(1999 - 1948) + '\x37' + chr(1991 - 1943), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + chr(53), 48425 - 48417), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(55) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(2916 - 2862) + chr(1593 - 1539), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(51) + chr(0b110111) + chr(0b110000 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(1612 - 1560), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(1737 - 1689), 0b1000), ehT0Px3KOsy9(chr(1960 - 1912) + '\x6f' + '\x31' + chr(1511 - 1463) + chr(1638 - 1589), 21275 - 21267)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(1298 - 1187) + chr(0b100000 + 0o25) + chr(0b110000 + 0o0), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Q'), '\x64' + '\145' + chr(7444 - 7345) + chr(0b1110 + 0o141) + '\144' + chr(108 - 7))(chr(0b1101110 + 0o7) + chr(116) + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def UcHcHhHjA2zc(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\xe5(\xd0'), chr(2215 - 2115) + chr(1215 - 1114) + chr(0b1100000 + 0o3) + '\157' + chr(100) + '\x65')(chr(0b100011 + 0o122) + '\164' + chr(102) + chr(407 - 362) + chr(0b111000))] NOaGA2BHucaX = xT4YRD_aidwj(FDgyextYBrUF) gJ3Tbhvvj8Ru = ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xfc \xc6'), chr(0b1100100) + chr(5117 - 5016) + chr(5303 - 5204) + chr(0b1101010 + 0o5) + '\144' + chr(929 - 828))('\x75' + chr(0b1110100) + chr(2013 - 1911) + chr(0b100101 + 0o10) + chr(0b100010 + 0o26))]) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xe0!\xea\x073+\x92R\xee '), chr(0b1100100) + chr(0b110011 + 0o62) + chr(0b111010 + 0o51) + chr(0b1101111) + chr(1648 - 1548) + chr(101))(chr(0b10000 + 0o145) + chr(0b1100011 + 0o21) + '\146' + chr(657 - 612) + chr(0b111000)))(AIvJRzLdDfgF, gJ3Tbhvvj8Ru, T1P2HfUVrGuW, RvHisuz8b6tn)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_flatten	def convert_flatten(net, node, module, builder): """Convert a flatten layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] mode = 0 # CHANNEL_FIRST builder.add_flatten(name, mode, input_name, output_name)	python	def convert_flatten(net, node, module, builder): """Convert a flatten layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] mode = 0 # CHANNEL_FIRST builder.add_flatten(name, mode, input_name, output_name)	[ "def", "convert_flatten", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "mode", "=", "0", "# CHANNEL_FIRST", "builder", ".", "add_flatten", "(", "name", ",", "mode", ",", "input_name", ",", "output_name", ")" ]	Convert a flatten layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "a", "flatten", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L141-L161	train	Convert a flatten layer from mxnet to coreml.	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(0b1011 + 0o144) + '\x33' + chr(313 - 264) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(421 - 373) + chr(111) + chr(0b11111 + 0o22) + chr(0b110101) + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o13) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(12168 - 12057) + chr(558 - 507) + chr(0b110111) + '\067', 57599 - 57591), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x30' + chr(0b110001), 34535 - 34527), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(2094 - 2042) + chr(0b1110 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(8950 - 8839) + chr(0b1010 + 0o51) + '\x30' + chr(1509 - 1457), ord("\x08")), ehT0Px3KOsy9(chr(2079 - 2031) + '\157' + chr(0b11 + 0o60) + chr(0b110001) + chr(0b100001 + 0o22), 52591 - 52583), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101010 + 0o11) + '\x37' + chr(0b100000 + 0o27), 8), ehT0Px3KOsy9(chr(2243 - 2195) + chr(9428 - 9317) + chr(0b110000 + 0o1) + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(51) + '\062' + chr(965 - 917), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(0b11001 + 0o31) + chr(0b110010) + chr(0b11011 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(990 - 936) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(48) + chr(1164 - 1116), 2444 - 2436), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10101 + 0o34) + chr(0b10 + 0o56) + chr(0b110110), 50471 - 50463), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110100) + '\060', 30751 - 30743), ehT0Px3KOsy9(chr(402 - 354) + chr(6898 - 6787) + chr(0b110010) + chr(859 - 810) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b111 + 0o54), 0o10), ehT0Px3KOsy9(chr(1525 - 1477) + '\157' + '\061' + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001010 + 0o45) + '\063' + chr(0b110111) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(676 - 565) + chr(1665 - 1615) + chr(55) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b100100 + 0o20), 62827 - 62819), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b11001 + 0o33) + '\x35', 62913 - 62905), ehT0Px3KOsy9(chr(0b110000) + chr(11740 - 11629) + chr(0b10000 + 0o43) + chr(0b101110 + 0o10) + '\x31', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(1832 - 1778) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(49), 0b1000), ehT0Px3KOsy9(chr(435 - 387) + '\x6f' + chr(0b100101 + 0o15) + chr(0b1101 + 0o43) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110000) + chr(0b110110), 33165 - 33157), ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + '\x33' + chr(0b1000 + 0o52) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11100 + 0o26) + chr(0b110000) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b111 + 0o52) + chr(695 - 641), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1753 - 1703) + chr(0b100010 + 0o21) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\066' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11111 + 0o22) + chr(49) + chr(0b1000 + 0o51), 49232 - 49224), ehT0Px3KOsy9(chr(48) + chr(3901 - 3790) + chr(1764 - 1715), 8), ehT0Px3KOsy9(chr(2163 - 2115) + '\157' + '\061' + chr(52) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + '\063' + chr(0b101000 + 0o12) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x33' + chr(1419 - 1364), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2047 - 1992) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(200 - 89) + chr(0b10001 + 0o42) + chr(609 - 558) + chr(1119 - 1071), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(0b1101 + 0o43), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3'), chr(0b1000011 + 0o41) + '\x65' + '\x63' + chr(111) + '\x64' + '\x65')(chr(3021 - 2904) + chr(0b1001 + 0o153) + chr(102) + chr(45) + chr(0b1111 + 0o51)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def fc7Nq0Cjb_aD(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\x08\x9c\x9a'), chr(6472 - 6372) + chr(0b1001101 + 0o30) + '\x63' + chr(0b10000 + 0o137) + chr(0b1100011 + 0o1) + '\145')(chr(4082 - 3965) + chr(4475 - 4359) + chr(102) + chr(45) + chr(0b10001 + 0o47))] holLFgwB7vsP = ehT0Px3KOsy9(chr(836 - 788) + '\157' + chr(0b110000), ord("\x08")) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b"\xac\r\x95\xa0'\xc8\xa5\xbf\x8b\x11\xbe"), chr(0b1100100) + chr(3776 - 3675) + chr(3561 - 3462) + chr(111) + chr(0b1100100) + chr(101))('\x75' + chr(116) + '\146' + '\055' + chr(0b111000)))(AIvJRzLdDfgF, holLFgwB7vsP, T1P2HfUVrGuW, RvHisuz8b6tn)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_softmax	def convert_softmax(net, node, module, builder): """Convert a softmax layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] builder.add_softmax(name=name, input_name=input_name, output_name=output_name)	python	def convert_softmax(net, node, module, builder): """Convert a softmax layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] builder.add_softmax(name=name, input_name=input_name, output_name=output_name)	[ "def", "convert_softmax", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "builder", ".", "add_softmax", "(", "name", "=", "name", ",", "input_name", "=", "input_name", ",", "output_name", "=", "output_name", ")" ]	Convert a softmax layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "a", "softmax", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L164-L185	train	Convert a softmax layer from mxnet to coreml.	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(0b1111 + 0o43) + '\x32' + chr(2764 - 2711), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o54) + chr(49) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1941 - 1893) + '\157' + chr(2128 - 2073) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1885 - 1836) + '\067' + chr(455 - 401), 56403 - 56395), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110101) + chr(1076 - 1026), 45343 - 45335), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b11 + 0o154) + chr(49) + chr(0b101001 + 0o11) + chr(0b110100), 7847 - 7839), ehT0Px3KOsy9('\060' + chr(10648 - 10537) + chr(612 - 561) + chr(0b10101 + 0o33), 0o10), ehT0Px3KOsy9(chr(48) + chr(1966 - 1855) + chr(0b110011) + chr(362 - 308) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\062' + '\062' + chr(0b11011 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(2665 - 2612), 49285 - 49277), ehT0Px3KOsy9('\060' + chr(6523 - 6412) + chr(0b110011) + chr(0b110111) + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1407 - 1356) + chr(1415 - 1367) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(506 - 458) + '\x6f' + chr(0b101111 + 0o4) + chr(0b110000) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1676 - 1565) + '\063' + '\x30' + chr(0b10111 + 0o33), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(50) + chr(1213 - 1165) + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101110 + 0o4) + '\063' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\x32' + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\067' + chr(0b101111 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110101) + chr(52), 19537 - 19529), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(0b0 + 0o61) + '\x36' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(669 - 618) + chr(737 - 683) + chr(0b101100 + 0o13), 0o10), ehT0Px3KOsy9(chr(2006 - 1958) + '\157' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(2326 - 2277) + chr(0b110001), 41484 - 41476), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b101100 + 0o10) + chr(0b101101 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(50) + '\x31' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1606 - 1557) + chr(187 - 132) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11893 - 11782) + '\062' + chr(48) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1170 - 1122) + '\x6f' + '\063' + chr(52) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4583 - 4472) + '\x31' + chr(49) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110000 + 0o3) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b11000 + 0o36) + chr(52), 8), ehT0Px3KOsy9('\x30' + chr(4400 - 4289) + '\x32' + '\062' + '\066', 0b1000), ehT0Px3KOsy9(chr(2010 - 1962) + chr(111) + '\065' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1603 - 1555) + chr(8634 - 8523) + '\061' + '\064' + chr(0b11010 + 0o30), 14653 - 14645), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110111) + chr(0b11100 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\065' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4273 - 4162) + '\061' + chr(0b100 + 0o56) + chr(2151 - 2101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x33' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b0 + 0o63) + chr(0b110110) + chr(191 - 137), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b111010 + 0o65) + '\x35' + chr(48), 62017 - 62009)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb'), '\144' + chr(101) + chr(6028 - 5929) + chr(0b1101100 + 0o3) + chr(0b111111 + 0o45) + chr(0b1100101))('\165' + chr(0b110111 + 0o75) + chr(0b1010 + 0o134) + chr(0b101101) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def vBOfDGxw4fRK(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xe8S\x1b'), chr(5405 - 5305) + chr(0b1010110 + 0o17) + chr(0b1011111 + 0o4) + chr(0b1010111 + 0o30) + '\x64' + chr(8358 - 8257))(chr(2276 - 2159) + '\x74' + '\146' + '\055' + chr(0b111000))] xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xedZ!\x99;~\x85\xfa\|\x82'), '\144' + chr(0b101111 + 0o66) + '\143' + '\x6f' + chr(0b1011111 + 0o5) + chr(0b10101 + 0o120))(chr(117) + '\x74' + '\146' + '\055' + '\070'))(name=AIvJRzLdDfgF, input_name=T1P2HfUVrGuW, output_name=RvHisuz8b6tn)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_activation	def convert_activation(net, node, module, builder): """Convert an activation layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] mx_non_linearity = _get_attrs(node)['act_type'] #TODO add SCALED_TANH, SOFTPLUS, SOFTSIGN, SIGMOID_HARD, LEAKYRELU, PRELU, ELU, PARAMETRICSOFTPLUS, THRESHOLDEDRELU, LINEAR if mx_non_linearity == 'relu': non_linearity = 'RELU' elif mx_non_linearity == 'tanh': non_linearity = 'TANH' elif mx_non_linearity == 'sigmoid': non_linearity = 'SIGMOID' else: raise TypeError('Unknown activation type %s' % mx_non_linearity) builder.add_activation(name = name, non_linearity = non_linearity, input_name = input_name, output_name = output_name)	python	def convert_activation(net, node, module, builder): """Convert an activation layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] mx_non_linearity = _get_attrs(node)['act_type'] #TODO add SCALED_TANH, SOFTPLUS, SOFTSIGN, SIGMOID_HARD, LEAKYRELU, PRELU, ELU, PARAMETRICSOFTPLUS, THRESHOLDEDRELU, LINEAR if mx_non_linearity == 'relu': non_linearity = 'RELU' elif mx_non_linearity == 'tanh': non_linearity = 'TANH' elif mx_non_linearity == 'sigmoid': non_linearity = 'SIGMOID' else: raise TypeError('Unknown activation type %s' % mx_non_linearity) builder.add_activation(name = name, non_linearity = non_linearity, input_name = input_name, output_name = output_name)	[ "def", "convert_activation", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "mx_non_linearity", "=", "_get_attrs", "(", "node", ")", "[", "'act_type'", "]", "#TODO add SCALED_TANH, SOFTPLUS, SOFTSIGN, SIGMOID_HARD, LEAKYRELU, PRELU, ELU, PARAMETRICSOFTPLUS, THRESHOLDEDRELU, LINEAR", "if", "mx_non_linearity", "==", "'relu'", ":", "non_linearity", "=", "'RELU'", "elif", "mx_non_linearity", "==", "'tanh'", ":", "non_linearity", "=", "'TANH'", "elif", "mx_non_linearity", "==", "'sigmoid'", ":", "non_linearity", "=", "'SIGMOID'", "else", ":", "raise", "TypeError", "(", "'Unknown activation type %s'", "%", "mx_non_linearity", ")", "builder", ".", "add_activation", "(", "name", "=", "name", ",", "non_linearity", "=", "non_linearity", ",", "input_name", "=", "input_name", ",", "output_name", "=", "output_name", ")" ]	Convert an activation layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "an", "activation", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L188-L220	train	Convert an activation layer from mxnet to coreml.	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(0b110011) + '\x32' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(0b100 + 0o55), 0o10), ehT0Px3KOsy9(chr(721 - 673) + chr(0b1001001 + 0o46) + '\061' + chr(0b101110 + 0o5), 29024 - 29016), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(116 - 61) + '\x35', 0o10), ehT0Px3KOsy9(chr(230 - 182) + '\x6f' + '\062' + chr(0b110000) + chr(2203 - 2151), 0o10), ehT0Px3KOsy9(chr(1622 - 1574) + chr(0b1011010 + 0o25) + '\067' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(11458 - 11347) + chr(2340 - 2291) + chr(1007 - 952) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(5350 - 5239) + '\x32' + chr(49) + chr(0b100111 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(0b110010) + chr(0b110110) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1755 - 1707) + '\157' + chr(0b110011) + chr(0b10 + 0o64) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1751 - 1701) + chr(0b111 + 0o57) + chr(0b110010 + 0o2), 59031 - 59023), ehT0Px3KOsy9('\060' + chr(527 - 416) + chr(574 - 524) + '\x31' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x32' + chr(0b110101), 10899 - 10891), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b110100) + chr(1730 - 1678), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1914 - 1803) + chr(51) + chr(1531 - 1477) + chr(0b101010 + 0o14), 7232 - 7224), ehT0Px3KOsy9(chr(1399 - 1351) + '\x6f' + chr(51) + chr(0b110000) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(473 - 420) + chr(1432 - 1377), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + '\063' + chr(0b101 + 0o54) + chr(946 - 897), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x34' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(2193 - 2138) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\063' + chr(0b110011 + 0o0) + chr(329 - 275), 40580 - 40572), ehT0Px3KOsy9(chr(48) + chr(1272 - 1161) + chr(50) + chr(0b110011) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1728 - 1678) + chr(0b11100 + 0o25) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(54) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(9038 - 8927) + '\061' + '\064' + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11001 + 0o34) + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b10011 + 0o35) + chr(0b110101 + 0o2), 41650 - 41642), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(1840 - 1791) + chr(51) + '\x35', 26576 - 26568), ehT0Px3KOsy9(chr(2106 - 2058) + chr(0b10100 + 0o133) + chr(50) + chr(0b100001 + 0o23) + '\x36', 0b1000), ehT0Px3KOsy9(chr(2177 - 2129) + '\x6f' + '\x36' + chr(760 - 705), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5231 - 5120) + '\063' + '\062' + '\062', 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b111001 + 0o66) + '\x32' + '\x31' + chr(763 - 712), 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1001011 + 0o44) + '\063' + '\x36' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1361 - 1313) + chr(0b1101111) + chr(49) + chr(54) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110111) + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110110 + 0o1) + '\x34', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1339 - 1291) + chr(111) + chr(0b100100 + 0o21) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), chr(100) + chr(0b10000 + 0o125) + chr(0b1000100 + 0o37) + '\157' + '\x64' + chr(101))(chr(117) + chr(116) + chr(102) + chr(0b101011 + 0o2) + chr(2516 - 2460)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def uf0sb4dYnmkr(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc`fX'), chr(0b11001 + 0o113) + chr(101) + chr(0b1010010 + 0o21) + '\157' + chr(100) + chr(2874 - 2773))('\165' + '\x74' + chr(0b1100000 + 0o6) + '\x2d' + chr(56))] MLwYBWEBX1vu = xT4YRD_aidwj(FDgyextYBrUF)[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3b\x7fb\xf0@\x0f\xee'), '\144' + chr(9893 - 9792) + '\143' + '\157' + '\144' + chr(101))(chr(0b1110101) + chr(9271 - 9155) + '\146' + '\x2d' + chr(2578 - 2522))] if MLwYBWEBX1vu == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0dgH'), chr(0b1100100) + chr(0b1100011 + 0o2) + '\x63' + chr(0b1101111) + chr(0b1011011 + 0o11) + chr(101))(chr(0b1101110 + 0o7) + chr(0b1101 + 0o147) + '\146' + chr(0b101010 + 0o3) + chr(0b111000)): pPb9Vrp8vNQ1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x80DGh'), '\144' + chr(0b1100101 + 0o0) + '\x63' + '\157' + chr(100) + chr(101))(chr(117) + chr(0b1110100) + chr(922 - 820) + chr(0b101101) + chr(0b111000)) elif MLwYBWEBX1vu == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6`eU'), chr(0b1111 + 0o125) + '\x65' + chr(0b1011111 + 0o4) + '\x6f' + chr(100) + chr(101))(chr(8914 - 8797) + '\164' + chr(309 - 207) + '\055' + '\x38'): pPb9Vrp8vNQ1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x86@Eu'), '\x64' + '\x65' + chr(0b1010010 + 0o21) + chr(0b11001 + 0o126) + '\x64' + chr(101))(chr(12354 - 12237) + chr(116) + chr(0b101010 + 0o74) + chr(45) + chr(56)) elif MLwYBWEBX1vu == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1hlP\xebP\x1b'), chr(3129 - 3029) + chr(0b1100101) + '\x63' + chr(11902 - 11791) + chr(0b101100 + 0o70) + chr(0b1100101))(chr(3809 - 3692) + '\164' + chr(0b1100110) + chr(1556 - 1511) + '\x38'): pPb9Vrp8vNQ1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x81HLp\xcbp;'), chr(100) + chr(0b1100101) + '\x63' + chr(448 - 337) + chr(3232 - 3132) + '\x65')('\165' + chr(116) + chr(102) + chr(0b11 + 0o52) + chr(56)) else: raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x87o`S\xebN\x11\xab\xd0\x91\xc0\xe3#\xf6P\x9f\xaeA\xe9\x10\xc6\xae\xfe\xae\x06\x00'), chr(100) + chr(101) + chr(99) + chr(8177 - 8066) + chr(7261 - 7161) + '\x65')(chr(3195 - 3078) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38') % MLwYBWEBX1vu) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3eob\xe5Z\x0b\xe2\xc7\x93\xc0\xe3:\xf9'), chr(100) + '\x65' + chr(3427 - 3328) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(624 - 522) + chr(45) + '\070'))(name=AIvJRzLdDfgF, non_linearity=pPb9Vrp8vNQ1, input_name=T1P2HfUVrGuW, output_name=RvHisuz8b6tn)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_leakyrelu	def convert_leakyrelu(net, node, module, builder): """Convert a leakyrelu layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] inputs = node['inputs'] args, _ = module.get_params() mx_non_linearity = _get_attrs(node)['act_type'] if mx_non_linearity == 'elu': non_linearity = 'ELU' slope = _get_attrs(node)['slope'] if 'slope' in _get_attrs(node) else 0.25 params = slope elif mx_non_linearity == 'leaky': non_linearity = 'LEAKYRELU' slope = _get_attrs(node)['slope'] if 'slope' in _get_attrs(node) else 0.25 params = [slope] elif mx_non_linearity == 'prelu': non_linearity = 'PRELU' params = args[_get_node_name(net, inputs[1][0])].asnumpy() else: raise TypeError('Unknown activation type %s' % mx_non_linearity) builder.add_activation(name = name, non_linearity = non_linearity, input_name = input_name, output_name = output_name, params = params)	python	def convert_leakyrelu(net, node, module, builder): """Convert a leakyrelu layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] inputs = node['inputs'] args, _ = module.get_params() mx_non_linearity = _get_attrs(node)['act_type'] if mx_non_linearity == 'elu': non_linearity = 'ELU' slope = _get_attrs(node)['slope'] if 'slope' in _get_attrs(node) else 0.25 params = slope elif mx_non_linearity == 'leaky': non_linearity = 'LEAKYRELU' slope = _get_attrs(node)['slope'] if 'slope' in _get_attrs(node) else 0.25 params = [slope] elif mx_non_linearity == 'prelu': non_linearity = 'PRELU' params = args[_get_node_name(net, inputs[1][0])].asnumpy() else: raise TypeError('Unknown activation type %s' % mx_non_linearity) builder.add_activation(name = name, non_linearity = non_linearity, input_name = input_name, output_name = output_name, params = params)	[ "def", "convert_leakyrelu", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "inputs", "=", "node", "[", "'inputs'", "]", "args", ",", "_", "=", "module", ".", "get_params", "(", ")", "mx_non_linearity", "=", "_get_attrs", "(", "node", ")", "[", "'act_type'", "]", "if", "mx_non_linearity", "==", "'elu'", ":", "non_linearity", "=", "'ELU'", "slope", "=", "_get_attrs", "(", "node", ")", "[", "'slope'", "]", "if", "'slope'", "in", "_get_attrs", "(", "node", ")", "else", "0.25", "params", "=", "slope", "elif", "mx_non_linearity", "==", "'leaky'", ":", "non_linearity", "=", "'LEAKYRELU'", "slope", "=", "_get_attrs", "(", "node", ")", "[", "'slope'", "]", "if", "'slope'", "in", "_get_attrs", "(", "node", ")", "else", "0.25", "params", "=", "[", "slope", "]", "elif", "mx_non_linearity", "==", "'prelu'", ":", "non_linearity", "=", "'PRELU'", "params", "=", "args", "[", "_get_node_name", "(", "net", ",", "inputs", "[", "1", "]", "[", "0", "]", ")", "]", ".", "asnumpy", "(", ")", "else", ":", "raise", "TypeError", "(", "'Unknown activation type %s'", "%", "mx_non_linearity", ")", "builder", ".", "add_activation", "(", "name", "=", "name", ",", "non_linearity", "=", "non_linearity", ",", "input_name", "=", "input_name", ",", "output_name", "=", "output_name", ",", "params", "=", "params", ")" ]	Convert a leakyrelu layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "a", "leakyrelu", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L223-L263	train	Convert a leakyrelu layer from mxnet to coreml.	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) + '\063' + '\067' + chr(0b1110 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10010 + 0o135) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(9147 - 9036) + chr(0b110010) + chr(0b101000 + 0o16) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x34' + chr(0b11011 + 0o33), 0b1000), ehT0Px3KOsy9(chr(227 - 179) + '\157' + '\x33' + chr(0b110100) + chr(0b11001 + 0o35), 26458 - 26450), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(424 - 376) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1969 - 1919) + '\x35' + chr(0b11001 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(412 - 364) + '\x6f' + chr(51) + chr(0b1101 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + '\x35', 30389 - 30381), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(53) + chr(0b11010 + 0o27), 0o10), ehT0Px3KOsy9(chr(86 - 38) + '\157' + chr(0b110011) + chr(0b100111 + 0o13) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b101 + 0o152) + chr(176 - 125) + chr(0b110111) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x37' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + '\063' + '\x32' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\x31' + '\067' + chr(870 - 819), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3495 - 3384) + chr(0b110010) + '\061' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b10001 + 0o136) + chr(50) + chr(0b110110) + chr(49), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(53) + chr(0b11101 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(49) + chr(364 - 312), 0o10), ehT0Px3KOsy9('\060' + chr(2428 - 2317) + chr(0b11100 + 0o25) + chr(1003 - 951) + chr(0b1010 + 0o47), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\066' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x33' + '\065' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110001) + '\x35', 8073 - 8065), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(48) + '\x35', 37059 - 37051), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110110) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2983 - 2872) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110000) + chr(0b11101 + 0o27), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b11000 + 0o36) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(829 - 780) + chr(0b110111) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 8), ehT0Px3KOsy9(chr(841 - 793) + chr(0b1111 + 0o140) + chr(0b110010) + '\064' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4157 - 4046) + chr(775 - 723) + chr(53), 62315 - 62307), ehT0Px3KOsy9(chr(48) + '\157' + chr(1402 - 1353) + '\063' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\067', 29455 - 29447), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1733 - 1683) + chr(0b110010) + chr(0b100 + 0o63), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1222 - 1172) + '\064' + chr(1174 - 1126), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\x32' + chr(0b110010 + 0o1) + chr(1568 - 1515), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o64) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5'), '\x64' + chr(0b1110 + 0o127) + '\143' + chr(0b1101111) + '\x64' + chr(0b100001 + 0o104))(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + chr(0b101010 + 0o16)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ytVizsnPRXT4(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\x95Xs\xd4'), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(0b110110 + 0o56) + chr(7464 - 7363))(chr(11352 - 11235) + '\x74' + '\146' + '\x2d' + chr(543 - 487))] vXoupepMtCXU = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\x92Wn\xc4\x12\x95'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(4616 - 4505) + '\144' + '\145')('\x75' + chr(0b100011 + 0o121) + '\146' + chr(0b101101) + chr(0b100110 + 0o22))] (kJDRfRhcZHjS, VNGQdHSFPrso) = RqocVGOryNPv.get_params() MLwYBWEBX1vu = xT4YRD_aidwj(FDgyextYBrUF)[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9aZj\xee\x12\x9f\xb4\xcd'), '\x64' + '\145' + chr(0b111100 + 0o47) + chr(111) + chr(100) + chr(0b1100101))(chr(0b100000 + 0o125) + chr(0b1110100) + chr(0b111011 + 0o53) + chr(0b1001 + 0o44) + chr(0b1101 + 0o53))] if MLwYBWEBX1vu == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9eUk'), chr(8715 - 8615) + chr(101) + chr(8514 - 8415) + chr(12140 - 12029) + chr(0b1011001 + 0o13) + chr(101))(chr(7786 - 7669) + chr(0b1110100) + chr(0b10 + 0o144) + '\055' + chr(2406 - 2350)): pPb9Vrp8vNQ1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbeuK'), chr(100) + chr(0b11001 + 0o114) + chr(6309 - 6210) + '\x6f' + chr(7257 - 7157) + '\x65')(chr(0b1110101) + chr(116) + chr(3980 - 3878) + chr(0b101101) + chr(56)) zRkuQAxmT0Ql = xT4YRD_aidwj(FDgyextYBrUF)[xafqLlk3kkUe(SXOLrMavuUCe(b'\x88Uq\xc1\x03'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + chr(101))(chr(13181 - 13064) + '\x74' + chr(0b1011011 + 0o13) + '\x2d' + '\070')] if xafqLlk3kkUe(SXOLrMavuUCe(b'\x88Uq\xc1\x03'), chr(0b101111 + 0o65) + chr(0b11100 + 0o111) + chr(2995 - 2896) + chr(0b1101111) + chr(100) + chr(4613 - 4512))(chr(0b1100101 + 0o20) + chr(2022 - 1906) + chr(102) + chr(0b101101) + chr(0b11000 + 0o40)) in xT4YRD_aidwj(FDgyextYBrUF) else 0.25 nEbJZ4wfte2w = zRkuQAxmT0Ql elif MLwYBWEBX1vu == xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\\\x7f\xda\x1f'), '\x64' + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(111) + chr(0b10000 + 0o124) + '\x65')(chr(4092 - 3975) + chr(0b1010001 + 0o43) + chr(0b1001011 + 0o33) + '\055' + chr(56)): pPb9Vrp8vNQ1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\|_\xfa?\xb4\x81\xe4M'), chr(0b110010 + 0o62) + chr(6280 - 6179) + '\143' + '\x6f' + chr(100) + '\x65')(chr(0b101001 + 0o114) + chr(116) + '\146' + '\x2d' + '\x38') zRkuQAxmT0Ql = xT4YRD_aidwj(FDgyextYBrUF)[xafqLlk3kkUe(SXOLrMavuUCe(b'\x88Uq\xc1\x03'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101110 + 0o1) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1010101 + 0o21) + chr(918 - 873) + '\x38')] if xafqLlk3kkUe(SXOLrMavuUCe(b'\x88Uq\xc1\x03'), chr(0b1001000 + 0o34) + chr(0b1100101) + '\143' + chr(0b1101110 + 0o1) + '\144' + chr(5615 - 5514))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(56)) in xT4YRD_aidwj(FDgyextYBrUF) else 0.25 nEbJZ4wfte2w = [zRkuQAxmT0Ql] elif MLwYBWEBX1vu == xafqLlk3kkUe(SXOLrMavuUCe(b'\x8bK{\xdd\x13'), '\x64' + '\145' + '\143' + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + '\146' + '\055' + chr(56)): pPb9Vrp8vNQ1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xabk[\xfd3'), chr(404 - 304) + chr(0b11100 + 0o111) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\145')('\165' + chr(116) + chr(0b1000110 + 0o40) + '\055' + chr(0b111000)) nEbJZ4wfte2w = kJDRfRhcZHjS[N1qW0w7U9iTe(DyzboKL9cczb, vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + '\x31', 0o10)][ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(48), 8)])].asnumpy() else: raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeWu\xdf\t\x91\xaa\x88yN\x1d\xbcX\x9f\xcc\xbb\x14\xe6\x91]\xf5\x11T\xcbh\xf6'), '\144' + '\145' + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(392 - 275) + '\x74' + '\146' + chr(0b101101) + '\070') % MLwYBWEBX1vu) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a]z\xee\x07\x85\xb0\xc1nL\x1d\xbcA\x90'), '\144' + '\145' + chr(99) + '\x6f' + '\x64' + chr(0b1011 + 0o132))(chr(4949 - 4832) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)))(name=AIvJRzLdDfgF, non_linearity=pPb9Vrp8vNQ1, input_name=T1P2HfUVrGuW, output_name=RvHisuz8b6tn, params=nEbJZ4wfte2w)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_elementwise_add	def convert_elementwise_add(net, node, module, builder): """Convert an elementwise add layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_names, output_name = _get_input_output_name(net, node, [0, 1]) name = node['name'] builder.add_elementwise(name, input_names, output_name, 'ADD')	python	def convert_elementwise_add(net, node, module, builder): """Convert an elementwise add layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_names, output_name = _get_input_output_name(net, node, [0, 1]) name = node['name'] builder.add_elementwise(name, input_names, output_name, 'ADD')	[ "def", "convert_elementwise_add", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_names", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ",", "[", "0", ",", "1", "]", ")", "name", "=", "node", "[", "'name'", "]", "builder", ".", "add_elementwise", "(", "name", ",", "input_names", ",", "output_name", ",", "'ADD'", ")" ]	Convert an elementwise add layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "an", "elementwise", "add", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L266-L287	train	Convert an elementwise add layer from mxnet to coreml.	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(49) + '\x30' + chr(1039 - 987), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(0b110010) + chr(0b110100) + chr(0b1000 + 0o52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o54) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1732 - 1621) + chr(0b101 + 0o55) + '\067' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(10102 - 9991) + chr(50) + chr(521 - 468), 4863 - 4855), ehT0Px3KOsy9(chr(698 - 650) + chr(11567 - 11456) + chr(0b110001) + '\x32' + chr(745 - 692), 0o10), ehT0Px3KOsy9(chr(48) + chr(9930 - 9819) + chr(0b11010 + 0o30) + chr(2669 - 2615), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7577 - 7466) + '\061' + '\060' + '\x35', 0o10), ehT0Px3KOsy9(chr(64 - 16) + chr(3079 - 2968) + '\x33' + '\063' + chr(0b100001 + 0o26), 28685 - 28677), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(53) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1223 - 1174) + chr(0b10101 + 0o36) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(5582 - 5471) + '\x31' + chr(530 - 475), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(2471 - 2420) + chr(0b101001 + 0o13), 57778 - 57770), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + '\x33' + chr(0b11001 + 0o33) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + '\x33' + '\x32' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101000 + 0o17) + chr(1664 - 1613), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b110010) + chr(54) + '\060', 24437 - 24429), ehT0Px3KOsy9('\060' + chr(9263 - 9152) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11152 - 11041) + '\x32' + chr(0b110100) + chr(54), 15921 - 15913), ehT0Px3KOsy9(chr(48) + chr(7389 - 7278) + '\061' + '\061' + chr(2570 - 2515), 0b1000), ehT0Px3KOsy9(chr(1243 - 1195) + chr(111) + chr(51) + chr(647 - 598) + chr(1243 - 1189), 36850 - 36842), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x34' + chr(49), 34962 - 34954), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(812 - 764) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1010100 + 0o33) + '\063' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b10101 + 0o34) + '\065' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(638 - 587) + chr(0b10000 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(651 - 603) + chr(111) + chr(0b100101 + 0o14) + chr(2248 - 2200) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(55) + chr(0b110011 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(1499 - 1451) + chr(0b1101111) + '\061' + chr(0b110010) + chr(0b101101 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(10931 - 10820) + '\x32' + '\065' + chr(0b100111 + 0o12), 15832 - 15824), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2226 - 2172) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(53) + chr(2421 - 2371), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4689 - 4578) + chr(49) + chr(54) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110000 + 0o3) + chr(148 - 95) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\063' + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110 + 0o54) + '\064' + '\x34', 22224 - 22216), ehT0Px3KOsy9('\x30' + chr(12033 - 11922) + chr(50) + chr(0b11101 + 0o23) + chr(0b110100), 2714 - 2706), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(0b11101 + 0o24), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(0b11 + 0o62) + chr(0b11000 + 0o30), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'j'), chr(0b1100100) + chr(0b1100101) + '\143' + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def pQLS02vsGJkW(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (CMC8pWw9JJzH, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF, [ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o51), 8)]) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3t\xdc'), chr(0b1000 + 0o134) + chr(0b1100101) + '\x63' + chr(111) + chr(0b11000 + 0o114) + '\145')(chr(117) + '\x74' + '\x66' + chr(0b101101) + '\070')] xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xc6}\xe6p9s(\xba\x86x5\x92\xb6'), chr(0b1100100) + chr(0b1100011 + 0o2) + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(2057 - 1940) + chr(0b1110100) + '\x66' + '\x2d' + chr(2042 - 1986)))(AIvJRzLdDfgF, CMC8pWw9JJzH, RvHisuz8b6tn, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xe6]'), '\x64' + '\x65' + chr(0b1100011) + chr(0b111111 + 0o60) + chr(0b110010 + 0o62) + chr(6188 - 6087))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + '\070'))
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_convolution	def convert_convolution(net, node, module, builder): """Convert a convolution layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] param = _get_attrs(node) inputs = node['inputs'] args, _ = module.get_params() if 'no_bias' in param.keys(): has_bias = not literal_eval(param['no_bias']) else: has_bias = True if 'pad' in param.keys() and literal_eval(param['pad']) != (0, 0): pad = literal_eval(param['pad']) builder.add_padding( name=name+"_pad", left=pad[1], right=pad[1], top=pad[0], bottom=pad[0], value=0, input_name=input_name, output_name=name+"_pad_output") input_name = name+"_pad_output" border_mode = "valid" n_filters = int(param['num_filter']) n_groups = int(param['num_group']) if 'num_group' in param else 1 W = args[_get_node_name(net, inputs[1][0])].asnumpy() if has_bias: Wb = args[_get_node_name(net, inputs[2][0])].asnumpy() else: Wb = None channels = W.shape[1] stride_height = 1 stride_width = 1 if 'stride' in param.keys(): stride_height, stride_width = literal_eval(param['stride']) kernel_height, kernel_width = literal_eval(param['kernel']) W = W.transpose((2, 3, 1, 0)) builder.add_convolution( name=name, kernel_channels=channels, output_channels=n_filters, height=kernel_height, width=kernel_width, stride_height=stride_height, stride_width=stride_width, border_mode=border_mode, groups=n_groups, W=W, b=Wb, has_bias=has_bias, is_deconv=False, output_shape=None, input_name=input_name, output_name=output_name)	python	def convert_convolution(net, node, module, builder): """Convert a convolution layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] param = _get_attrs(node) inputs = node['inputs'] args, _ = module.get_params() if 'no_bias' in param.keys(): has_bias = not literal_eval(param['no_bias']) else: has_bias = True if 'pad' in param.keys() and literal_eval(param['pad']) != (0, 0): pad = literal_eval(param['pad']) builder.add_padding( name=name+"_pad", left=pad[1], right=pad[1], top=pad[0], bottom=pad[0], value=0, input_name=input_name, output_name=name+"_pad_output") input_name = name+"_pad_output" border_mode = "valid" n_filters = int(param['num_filter']) n_groups = int(param['num_group']) if 'num_group' in param else 1 W = args[_get_node_name(net, inputs[1][0])].asnumpy() if has_bias: Wb = args[_get_node_name(net, inputs[2][0])].asnumpy() else: Wb = None channels = W.shape[1] stride_height = 1 stride_width = 1 if 'stride' in param.keys(): stride_height, stride_width = literal_eval(param['stride']) kernel_height, kernel_width = literal_eval(param['kernel']) W = W.transpose((2, 3, 1, 0)) builder.add_convolution( name=name, kernel_channels=channels, output_channels=n_filters, height=kernel_height, width=kernel_width, stride_height=stride_height, stride_width=stride_width, border_mode=border_mode, groups=n_groups, W=W, b=Wb, has_bias=has_bias, is_deconv=False, output_shape=None, input_name=input_name, output_name=output_name)	[ "def", "convert_convolution", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "param", "=", "_get_attrs", "(", "node", ")", "inputs", "=", "node", "[", "'inputs'", "]", "args", ",", "_", "=", "module", ".", "get_params", "(", ")", "if", "'no_bias'", "in", "param", ".", "keys", "(", ")", ":", "has_bias", "=", "not", "literal_eval", "(", "param", "[", "'no_bias'", "]", ")", "else", ":", "has_bias", "=", "True", "if", "'pad'", "in", "param", ".", "keys", "(", ")", "and", "literal_eval", "(", "param", "[", "'pad'", "]", ")", "!=", "(", "0", ",", "0", ")", ":", "pad", "=", "literal_eval", "(", "param", "[", "'pad'", "]", ")", "builder", ".", "add_padding", "(", "name", "=", "name", "+", "\"_pad\"", ",", "left", "=", "pad", "[", "1", "]", ",", "right", "=", "pad", "[", "1", "]", ",", "top", "=", "pad", "[", "0", "]", ",", "bottom", "=", "pad", "[", "0", "]", ",", "value", "=", "0", ",", "input_name", "=", "input_name", ",", "output_name", "=", "name", "+", "\"_pad_output\"", ")", "input_name", "=", "name", "+", "\"_pad_output\"", "border_mode", "=", "\"valid\"", "n_filters", "=", "int", "(", "param", "[", "'num_filter'", "]", ")", "n_groups", "=", "int", "(", "param", "[", "'num_group'", "]", ")", "if", "'num_group'", "in", "param", "else", "1", "W", "=", "args", "[", "_get_node_name", "(", "net", ",", "inputs", "[", "1", "]", "[", "0", "]", ")", "]", ".", "asnumpy", "(", ")", "if", "has_bias", ":", "Wb", "=", "args", "[", "_get_node_name", "(", "net", ",", "inputs", "[", "2", "]", "[", "0", "]", ")", "]", ".", "asnumpy", "(", ")", "else", ":", "Wb", "=", "None", "channels", "=", "W", ".", "shape", "[", "1", "]", "stride_height", "=", "1", "stride_width", "=", "1", "if", "'stride'", "in", "param", ".", "keys", "(", ")", ":", "stride_height", ",", "stride_width", "=", "literal_eval", "(", "param", "[", "'stride'", "]", ")", "kernel_height", ",", "kernel_width", "=", "literal_eval", "(", "param", "[", "'kernel'", "]", ")", "W", "=", "W", ".", "transpose", "(", "(", "2", ",", "3", ",", "1", ",", "0", ")", ")", "builder", ".", "add_convolution", "(", "name", "=", "name", ",", "kernel_channels", "=", "channels", ",", "output_channels", "=", "n_filters", ",", "height", "=", "kernel_height", ",", "width", "=", "kernel_width", ",", "stride_height", "=", "stride_height", ",", "stride_width", "=", "stride_width", ",", "border_mode", "=", "border_mode", ",", "groups", "=", "n_groups", ",", "W", "=", "W", ",", "b", "=", "Wb", ",", "has_bias", "=", "has_bias", ",", "is_deconv", "=", "False", ",", "output_shape", "=", "None", ",", "input_name", "=", "input_name", ",", "output_name", "=", "output_name", ")" ]	Convert a convolution layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "a", "convolution", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L337-L415	train	Convert a convolution layer from mxnet to coreml.	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(0b10111 + 0o31) + chr(111) + chr(49) + chr(0b110000) + chr(184 - 135), 0o10), ehT0Px3KOsy9(chr(800 - 752) + chr(111) + '\061' + chr(1128 - 1074) + chr(622 - 574), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(55) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b101 + 0o54) + chr(2269 - 2220), 21633 - 21625), ehT0Px3KOsy9(chr(2292 - 2244) + chr(0b1101111) + '\x31' + chr(0b10011 + 0o42) + chr(49), 3622 - 3614), ehT0Px3KOsy9(chr(205 - 157) + chr(0b11101 + 0o122) + chr(51) + chr(0b110101) + '\x37', 40880 - 40872), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + chr(283 - 233) + chr(48) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(2514 - 2403) + chr(0b101110 + 0o10) + chr(348 - 296), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b110001) + chr(48) + chr(0b110110), 61930 - 61922), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(10702 - 10591) + chr(0b110001) + '\x35' + '\064', 44952 - 44944), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110 + 0o61) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(408 - 353), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(335 - 287) + chr(2126 - 2078), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x31' + chr(0b110110) + chr(2357 - 2306), 27024 - 27016), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + chr(0b110000), 1411 - 1403), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9(chr(239 - 191) + chr(0b1101111) + chr(129 - 80) + '\x35' + chr(0b1011 + 0o52), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110110) + chr(0b110001), 44180 - 44172), ehT0Px3KOsy9('\060' + '\157' + chr(2551 - 2500) + chr(0b110010) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1048 - 997) + chr(55) + chr(360 - 307), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\065' + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11903 - 11792) + chr(1159 - 1109) + '\x31' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\060' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b11010 + 0o125) + chr(0b11 + 0o60) + chr(1527 - 1475) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1229 - 1181) + '\x6f' + '\x31' + chr(907 - 856) + chr(457 - 407), ord("\x08")), ehT0Px3KOsy9(chr(536 - 488) + chr(628 - 517) + '\x33' + chr(0b110100 + 0o1) + chr(0b110100), 47076 - 47068), ehT0Px3KOsy9('\060' + chr(111) + chr(1039 - 984) + '\066', 44386 - 44378), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1010001 + 0o36) + chr(0b100111 + 0o14) + chr(0b110011) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(7447 - 7336) + chr(50) + chr(0b101110 + 0o3) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(51) + chr(0b110001) + '\063', 34795 - 34787), ehT0Px3KOsy9('\060' + '\157' + chr(0b100010 + 0o20) + '\x34' + chr(572 - 522), 11774 - 11766), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b110010) + chr(0b1011 + 0o53) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(7900 - 7789) + '\062' + chr(0b11010 + 0o33) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(0b100 + 0o62) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(643 - 594) + chr(0b100100 + 0o23) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + chr(706 - 652), 54126 - 54118), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(399 - 349) + chr(0b110001) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x35' + chr(48), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(3418 - 3307) + chr(2463 - 2410) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), chr(0b1000 + 0o134) + '\145' + chr(8666 - 8567) + chr(111) + chr(2483 - 2383) + '\x65')(chr(117) + chr(116) + chr(0b101100 + 0o72) + chr(0b100111 + 0o6) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def _Ug_zmN_2SQ7(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'/\x11\xd5,'), '\x64' + chr(0b111 + 0o136) + chr(0b100 + 0o137) + chr(3247 - 3136) + chr(0b1100100) + chr(101))('\165' + chr(6057 - 5941) + chr(102) + '\055' + chr(0b111000))] NOaGA2BHucaX = xT4YRD_aidwj(FDgyextYBrUF) vXoupepMtCXU = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'(\x1e\xc8<\x1d\x9c'), chr(0b101011 + 0o71) + chr(101) + chr(6205 - 6106) + chr(0b1101111) + chr(0b1110 + 0o126) + chr(0b1001110 + 0o27))(chr(117) + '\164' + chr(6266 - 6164) + '\x2d' + '\070')] (kJDRfRhcZHjS, VNGQdHSFPrso) = RqocVGOryNPv.get_params() if xafqLlk3kkUe(SXOLrMavuUCe(b'/\x1f\xe7+\x00\x8e\xf1'), '\x64' + chr(4502 - 4401) + chr(5535 - 5436) + chr(0b10110 + 0o131) + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(0b11001 + 0o115) + chr(1705 - 1660) + chr(56)) in xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xc1:'), chr(0b1001001 + 0o33) + '\x65' + chr(0b1001111 + 0o24) + '\x6f' + '\x64' + '\145')('\165' + chr(0b1011110 + 0o26) + chr(0b11010 + 0o114) + chr(0b10 + 0o53) + '\070'))(): gML5RKUXqwbX = not ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'/\x1f\xe7+\x00\x8e\xf1'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1101 + 0o127) + chr(101))(chr(4658 - 4541) + chr(116) + chr(0b1100110) + chr(45) + chr(0b110000 + 0o10))]) else: gML5RKUXqwbX = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1761 - 1712), ord("\x08")) if xafqLlk3kkUe(SXOLrMavuUCe(b'1\x11\xdc'), chr(0b1010001 + 0o23) + '\145' + chr(99) + chr(111) + chr(9389 - 9289) + '\x65')(chr(0b1100001 + 0o24) + chr(116) + '\x66' + '\055' + chr(56)) in xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xc1:'), chr(100) + chr(101) + '\143' + '\x6f' + chr(0b100011 + 0o101) + chr(0b111110 + 0o47))(chr(117) + '\x74' + chr(102) + chr(45) + '\070'))() and ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'1\x11\xdc'), chr(100) + chr(0b1100101) + '\x63' + chr(0b110000 + 0o77) + chr(0b1100100) + chr(101))(chr(0b1010000 + 0o45) + chr(116) + '\146' + chr(0b101101) + chr(0b110000 + 0o10))]) != (ehT0Px3KOsy9(chr(48) + chr(111) + chr(526 - 478), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1100110 + 0o11) + chr(0b101011 + 0o5), 8)): jq0C7ttmqXPS = ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'1\x11\xdc'), chr(0b1100100) + '\145' + '\143' + chr(0b1000 + 0o147) + chr(100) + '\145')('\165' + chr(0b1111 + 0o145) + '\146' + chr(45) + chr(0b10000 + 0o50))]) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b' \x14\xdc\x16\x19\x8e\xe6P/\x028'), '\x64' + chr(6333 - 6232) + chr(1225 - 1126) + chr(0b1101111) + chr(100) + '\x65')('\x75' + '\164' + chr(0b111000 + 0o56) + '\055' + '\070'))(name=AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x00\xd9-'), chr(3693 - 3593) + chr(101) + '\x63' + '\x6f' + '\144' + chr(2154 - 2053))('\x75' + chr(0b111110 + 0o66) + chr(6769 - 6667) + chr(45) + chr(56)), left=jq0C7ttmqXPS[ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + chr(0b100 + 0o55), 8)], right=jq0C7ttmqXPS[ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8)], top=jq0C7ttmqXPS[ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b110000), 8)], bottom=jq0C7ttmqXPS[ehT0Px3KOsy9(chr(0b110000) + chr(2096 - 1985) + '\x30', 8)], value=ehT0Px3KOsy9(chr(1635 - 1587) + chr(111) + chr(0b1110 + 0o42), 8), input_name=T1P2HfUVrGuW, output_name=AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x00\xd9-6\x80\xf7@6\x19+'), chr(100) + chr(5537 - 5436) + chr(99) + chr(0b1101111) + '\144' + '\145')('\x75' + '\x74' + chr(0b1100110) + '\x2d' + '\070')) T1P2HfUVrGuW = AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x00\xd9-6\x80\xf7@6\x19+'), '\x64' + '\x65' + chr(4451 - 4352) + chr(8675 - 8564) + chr(0b101110 + 0o66) + chr(0b10011 + 0o122))(chr(13337 - 13220) + '\164' + '\146' + '\055' + chr(56)) vWsX2zlU5_WB = xafqLlk3kkUe(SXOLrMavuUCe(b'7\x11\xd4 \r'), chr(0b1011100 + 0o10) + chr(4804 - 4703) + '\143' + chr(111) + chr(0b1100100) + '\145')(chr(1612 - 1495) + chr(0b111 + 0o155) + '\146' + '\055' + '\070') Hug1D32ZEDaD = ehT0Px3KOsy9(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'/\x05\xd5\x16\x0f\x86\xee@#\x1e'), chr(0b1100100) + chr(101) + chr(0b110100 + 0o57) + chr(111) + chr(100) + chr(0b111101 + 0o50))(chr(2970 - 2853) + chr(1942 - 1826) + '\146' + '\x2d' + '\x38')]) KlW0oqXVRMy7 = ehT0Px3KOsy9(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'/\x05\xd5\x16\x0e\x9d\xedA6'), chr(0b100001 + 0o103) + chr(0b1010 + 0o133) + chr(99) + '\x6f' + chr(0b1100100) + chr(101))('\165' + chr(0b1100110 + 0o16) + chr(1484 - 1382) + chr(0b101101) + chr(56))]) if xafqLlk3kkUe(SXOLrMavuUCe(b'/\x05\xd5\x16\x0e\x9d\xedA6'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + chr(2357 - 2257) + '\x65')('\x75' + chr(762 - 646) + chr(0b1100110) + chr(0b101101) + chr(0b11001 + 0o37)) in NOaGA2BHucaX else ehT0Px3KOsy9(chr(2066 - 2018) + '\157' + chr(49), 8) GYEFWfOuAOm8 = kJDRfRhcZHjS[N1qW0w7U9iTe(DyzboKL9cczb, vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 8)][ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11010 + 0o26), 8)])].asnumpy() if gML5RKUXqwbX: ZVZIXCNMkkih = kJDRfRhcZHjS[N1qW0w7U9iTe(DyzboKL9cczb, vXoupepMtCXU[ehT0Px3KOsy9('\060' + chr(8546 - 8435) + '\062', 0b1000)][ehT0Px3KOsy9(chr(655 - 607) + '\x6f' + chr(229 - 181), 8)])].asnumpy() else: ZVZIXCNMkkih = None H2MQqAZeamNo = GYEFWfOuAOm8.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8)] IWgRjfx6mYq0 = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 8) TNNPqSZ0SIwf = ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8) if xafqLlk3kkUe(SXOLrMavuUCe(b'2\x04\xca \r\x8a'), chr(6035 - 5935) + chr(6713 - 6612) + chr(99) + chr(989 - 878) + chr(9354 - 9254) + chr(101))(chr(0b111101 + 0o70) + chr(0b1000111 + 0o55) + chr(2849 - 2747) + '\x2d' + '\070') in xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xc1:'), '\144' + chr(0b1100101) + chr(8516 - 8417) + chr(8113 - 8002) + chr(100) + chr(101))(chr(0b111100 + 0o71) + '\x74' + chr(102) + '\055' + chr(0b111000)))(): (IWgRjfx6mYq0, TNNPqSZ0SIwf) = ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'2\x04\xca \r\x8a'), '\144' + chr(5155 - 5054) + chr(0b101 + 0o136) + '\157' + chr(8495 - 8395) + chr(0b1011011 + 0o12))(chr(0b1110101 + 0o0) + chr(116) + chr(0b111001 + 0o55) + chr(277 - 232) + chr(0b10001 + 0o47))]) (aWtpZRO3JbHj, xCDNMTg51zI4) = ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b"\x15\xca'\x0c\x83"), chr(0b11010 + 0o112) + '\145' + chr(8979 - 8880) + '\x6f' + '\144' + chr(455 - 354))('\x75' + '\x74' + chr(102) + chr(0b101101) + chr(56))]) GYEFWfOuAOm8 = GYEFWfOuAOm8.transpose((ehT0Px3KOsy9(chr(48) + chr(9491 - 9380) + chr(0b100 + 0o56), 8), ehT0Px3KOsy9('\060' + chr(4570 - 4459) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8), ehT0Px3KOsy9(chr(1033 - 985) + '\157' + chr(48), 8))) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b' \x14\xdc\x16\n\x80\xecB)\x00*LtP.'), chr(100) + '\145' + chr(0b1001000 + 0o33) + '\x6f' + chr(0b1111 + 0o125) + chr(0b101101 + 0o70))('\165' + '\x74' + '\x66' + chr(809 - 764) + chr(56)))(name=AIvJRzLdDfgF, kernel_channels=H2MQqAZeamNo, output_channels=Hug1D32ZEDaD, height=aWtpZRO3JbHj, width=xCDNMTg51zI4, stride_height=IWgRjfx6mYq0, stride_width=TNNPqSZ0SIwf, border_mode=vWsX2zlU5_WB, groups=KlW0oqXVRMy7, W=GYEFWfOuAOm8, b=ZVZIXCNMkkih, has_bias=gML5RKUXqwbX, is_deconv=ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(0b110000), 8), output_shape=None, input_name=T1P2HfUVrGuW, output_name=RvHisuz8b6tn)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_pooling	def convert_pooling(net, node, module, builder): """Convert a pooling layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] param = _get_attrs(node) layer_type_mx = param['pool_type'] if layer_type_mx == 'max': layer_type = 'MAX' elif layer_type_mx == 'avg': layer_type = 'AVERAGE' else: raise TypeError("Pooling type %s not supported" % layer_type_mx) # Add padding if there is any if 'pad' in param.keys() and literal_eval(param['pad']) != (0, 0): pad = literal_eval(param['pad']) builder.add_padding( name=name+"_pad", left=pad[1], right=pad[1], top=pad[0], bottom=pad[0], value=0, input_name=input_name, output_name=name+"_pad_output") input_name = name+"_pad_output" stride_height = 1 stride_width = 1 if 'stride' in param.keys(): stride_height, stride_width = literal_eval(param['stride']) kernel_width, kernel_height = literal_eval(param['kernel']) type_map = {'valid': 'VALID', 'full': 'INCLUDE_LAST_PIXEL'} padding_type = param['pooling_convention'] if 'pooling_convention' in param else 'valid' if padding_type not in type_map: raise KeyError("%s type is not supported in this converter. It is a Github issue.") padding_type = type_map[padding_type] if 'global_pool' in param.keys(): is_global = literal_eval(param['global_pool']) else: is_global = False # For reasons why we are not using the standard builder but having our own implementation, # see the function documentation. _add_pooling.add_pooling_with_padding_types( builder=builder, name=name, height=kernel_height, width=kernel_width, stride_height=stride_height, stride_width=stride_width, layer_type=layer_type, padding_type=padding_type, exclude_pad_area=False, is_global=is_global, input_name=input_name, output_name=output_name )	python	def convert_pooling(net, node, module, builder): """Convert a pooling layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] param = _get_attrs(node) layer_type_mx = param['pool_type'] if layer_type_mx == 'max': layer_type = 'MAX' elif layer_type_mx == 'avg': layer_type = 'AVERAGE' else: raise TypeError("Pooling type %s not supported" % layer_type_mx) # Add padding if there is any if 'pad' in param.keys() and literal_eval(param['pad']) != (0, 0): pad = literal_eval(param['pad']) builder.add_padding( name=name+"_pad", left=pad[1], right=pad[1], top=pad[0], bottom=pad[0], value=0, input_name=input_name, output_name=name+"_pad_output") input_name = name+"_pad_output" stride_height = 1 stride_width = 1 if 'stride' in param.keys(): stride_height, stride_width = literal_eval(param['stride']) kernel_width, kernel_height = literal_eval(param['kernel']) type_map = {'valid': 'VALID', 'full': 'INCLUDE_LAST_PIXEL'} padding_type = param['pooling_convention'] if 'pooling_convention' in param else 'valid' if padding_type not in type_map: raise KeyError("%s type is not supported in this converter. It is a Github issue.") padding_type = type_map[padding_type] if 'global_pool' in param.keys(): is_global = literal_eval(param['global_pool']) else: is_global = False # For reasons why we are not using the standard builder but having our own implementation, # see the function documentation. _add_pooling.add_pooling_with_padding_types( builder=builder, name=name, height=kernel_height, width=kernel_width, stride_height=stride_height, stride_width=stride_width, layer_type=layer_type, padding_type=padding_type, exclude_pad_area=False, is_global=is_global, input_name=input_name, output_name=output_name )	[ "def", "convert_pooling", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "param", "=", "_get_attrs", "(", "node", ")", "layer_type_mx", "=", "param", "[", "'pool_type'", "]", "if", "layer_type_mx", "==", "'max'", ":", "layer_type", "=", "'MAX'", "elif", "layer_type_mx", "==", "'avg'", ":", "layer_type", "=", "'AVERAGE'", "else", ":", "raise", "TypeError", "(", "\"Pooling type %s not supported\"", "%", "layer_type_mx", ")", "# Add padding if there is any", "if", "'pad'", "in", "param", ".", "keys", "(", ")", "and", "literal_eval", "(", "param", "[", "'pad'", "]", ")", "!=", "(", "0", ",", "0", ")", ":", "pad", "=", "literal_eval", "(", "param", "[", "'pad'", "]", ")", "builder", ".", "add_padding", "(", "name", "=", "name", "+", "\"_pad\"", ",", "left", "=", "pad", "[", "1", "]", ",", "right", "=", "pad", "[", "1", "]", ",", "top", "=", "pad", "[", "0", "]", ",", "bottom", "=", "pad", "[", "0", "]", ",", "value", "=", "0", ",", "input_name", "=", "input_name", ",", "output_name", "=", "name", "+", "\"_pad_output\"", ")", "input_name", "=", "name", "+", "\"_pad_output\"", "stride_height", "=", "1", "stride_width", "=", "1", "if", "'stride'", "in", "param", ".", "keys", "(", ")", ":", "stride_height", ",", "stride_width", "=", "literal_eval", "(", "param", "[", "'stride'", "]", ")", "kernel_width", ",", "kernel_height", "=", "literal_eval", "(", "param", "[", "'kernel'", "]", ")", "type_map", "=", "{", "'valid'", ":", "'VALID'", ",", "'full'", ":", "'INCLUDE_LAST_PIXEL'", "}", "padding_type", "=", "param", "[", "'pooling_convention'", "]", "if", "'pooling_convention'", "in", "param", "else", "'valid'", "if", "padding_type", "not", "in", "type_map", ":", "raise", "KeyError", "(", "\"%s type is not supported in this converter. It is a Github issue.\"", ")", "padding_type", "=", "type_map", "[", "padding_type", "]", "if", "'global_pool'", "in", "param", ".", "keys", "(", ")", ":", "is_global", "=", "literal_eval", "(", "param", "[", "'global_pool'", "]", ")", "else", ":", "is_global", "=", "False", "# For reasons why we are not using the standard builder but having our own implementation,", "# see the function documentation.", "_add_pooling", ".", "add_pooling_with_padding_types", "(", "builder", "=", "builder", ",", "name", "=", "name", ",", "height", "=", "kernel_height", ",", "width", "=", "kernel_width", ",", "stride_height", "=", "stride_height", ",", "stride_width", "=", "stride_width", ",", "layer_type", "=", "layer_type", ",", "padding_type", "=", "padding_type", ",", "exclude_pad_area", "=", "False", ",", "is_global", "=", "is_global", ",", "input_name", "=", "input_name", ",", "output_name", "=", "output_name", ")" ]	Convert a pooling layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "a", "pooling", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L418-L494	train	Convert a pooling layer from mxnet to coreml.	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(2761 - 2708) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(50) + '\064' + chr(284 - 229), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(0b11111 + 0o27) + chr(1165 - 1117), 0o10), ehT0Px3KOsy9('\060' + chr(897 - 786) + chr(0b110011) + chr(0b110101), 55421 - 55413), ehT0Px3KOsy9('\x30' + chr(9902 - 9791) + '\063' + '\065' + '\066', 57940 - 57932), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110 + 0o0) + chr(0b10001 + 0o44), 1934 - 1926), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x35' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b101011 + 0o10) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2689 - 2636), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110110) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(49) + '\065' + chr(49), 0b1000), ehT0Px3KOsy9(chr(1633 - 1585) + '\x6f' + chr(0b1010 + 0o50) + chr(0b110011) + chr(50), 34478 - 34470), ehT0Px3KOsy9('\x30' + chr(111) + chr(1717 - 1668) + chr(0b1010 + 0o51) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b110011 + 0o2) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2460 - 2349) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(735 - 686) + chr(0b110000 + 0o3) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110101) + chr(1196 - 1142), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3931 - 3820) + '\x33' + '\061' + '\x32', 5474 - 5466), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001 + 0o2) + '\066' + chr(1314 - 1260), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(51) + chr(54 - 4), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100111 + 0o12) + chr(53) + chr(0b110001), 8), ehT0Px3KOsy9(chr(541 - 493) + chr(0b1101111) + chr(0b100110 + 0o15) + chr(1979 - 1925) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9921 - 9810) + '\062' + chr(62 - 13), 32920 - 32912), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(54) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9271 - 9160) + chr(51) + '\066' + chr(0b11101 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(0b101001 + 0o12) + chr(905 - 854) + '\x30', 50454 - 50446), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110111) + chr(51), 5953 - 5945), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(297 - 247) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1000111 + 0o50) + '\063' + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(10658 - 10547) + '\061' + chr(0b110100) + chr(262 - 207), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\061' + chr(1784 - 1734) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(55) + '\x32', 22600 - 22592), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\063' + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(305 - 254) + '\065', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(51) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(676 - 628) + chr(0b1101111) + chr(49) + chr(52) + chr(55), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(2301 - 2190) + chr(497 - 448) + '\060' + '\062', 0o10), ehT0Px3KOsy9(chr(1753 - 1705) + '\157' + chr(2520 - 2468), 33247 - 33239), ehT0Px3KOsy9(chr(833 - 785) + chr(9065 - 8954) + chr(0b11111 + 0o23) + chr(0b110010) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1001110 + 0o41) + chr(51) + chr(2387 - 2332) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\065' + chr(0b101 + 0o53), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), '\144' + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(909 - 864) + chr(993 - 937)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def BuYYeFqIqGvt(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'C\xc6]x'), chr(4331 - 4231) + '\x65' + chr(99) + chr(0b1011100 + 0o23) + chr(4015 - 3915) + '\x65')(chr(0b1001111 + 0o46) + '\x74' + '\x66' + '\055' + chr(56))] NOaGA2BHucaX = xT4YRD_aidwj(FDgyextYBrUF) K530cwryuvVF = NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b']\xc8_q\xb1A\x95l`'), chr(0b100111 + 0o75) + chr(3649 - 3548) + '\143' + '\157' + chr(501 - 401) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(1280 - 1235) + chr(0b11100 + 0o34))] if K530cwryuvVF == xafqLlk3kkUe(SXOLrMavuUCe(b'@\xc6H'), chr(7452 - 7352) + chr(9370 - 9269) + chr(99) + chr(0b100010 + 0o115) + chr(100) + chr(6070 - 5969))(chr(0b1110001 + 0o4) + chr(1334 - 1218) + chr(7016 - 6914) + chr(0b101101) + chr(0b1111 + 0o51)): nF24o7I0_Wgs = xafqLlk3kkUe(SXOLrMavuUCe(b'`\xe6h'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1010110 + 0o16) + '\145')(chr(2590 - 2473) + chr(6211 - 6095) + chr(0b1100110) + chr(0b101101 + 0o0) + '\x38') elif K530cwryuvVF == xafqLlk3kkUe(SXOLrMavuUCe(b'L\xd1W'), chr(0b1100100) + chr(0b1000011 + 0o42) + '\143' + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b100100 + 0o120) + chr(0b1001010 + 0o34) + chr(830 - 785) + chr(56)): nF24o7I0_Wgs = xafqLlk3kkUe(SXOLrMavuUCe(b'l\xf1uO\xafr\xa9'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b101 + 0o137) + '\x65')('\x75' + '\x74' + chr(102) + '\055' + chr(56)) else: raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'}\xc8_q\x87[\x8b<q\xce\x19\xffx\ru\x7f\x80\xa5\x82\xba\x1a\x81aB\x9c\xaaO\xf6y'), '\144' + '\x65' + '\x63' + chr(111) + chr(0b1100100) + chr(4985 - 4884))('\165' + chr(0b1110100) + '\x66' + chr(0b10000 + 0o35) + '\x38') % K530cwryuvVF) if xafqLlk3kkUe(SXOLrMavuUCe(b']\xc6T'), '\144' + chr(0b1100011 + 0o2) + chr(0b1100011) + chr(0b111111 + 0o60) + chr(0b1110 + 0o126) + '\145')(chr(0b1110101) + '\164' + chr(102) + '\x2d' + '\x38') in xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'F\xc2In'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b101101 + 0o102) + chr(0b1001010 + 0o32) + '\145')('\165' + chr(0b1110100) + '\146' + chr(0b101101) + '\070'))() and ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b']\xc6T'), '\144' + chr(0b1001010 + 0o33) + chr(0b1000111 + 0o34) + chr(0b1101111) + '\144' + chr(101))(chr(117) + chr(0b111011 + 0o71) + chr(102) + '\055' + '\070')]) != (ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(1812 - 1764), 44644 - 44636), ehT0Px3KOsy9('\060' + chr(9726 - 9615) + chr(0b110000), 8)): jq0C7ttmqXPS = ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b']\xc6T'), chr(4158 - 4058) + '\x65' + chr(3136 - 3037) + '\x6f' + chr(100) + chr(0b111101 + 0o50))(chr(0b101 + 0o160) + chr(0b101000 + 0o114) + '\146' + chr(45) + chr(1795 - 1739))]) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'L\xc3TB\x9eT\x88xl\xd9\x0e'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(6968 - 6857) + chr(0b1100100) + chr(101))('\165' + chr(0b100000 + 0o124) + chr(2346 - 2244) + chr(0b1110 + 0o37) + '\070'))(name=AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'r\xd7Qy'), chr(227 - 127) + chr(0b1000111 + 0o36) + chr(99) + chr(2690 - 2579) + chr(6454 - 6354) + chr(0b1100101))(chr(7573 - 7456) + chr(0b1011000 + 0o34) + '\x66' + chr(45) + chr(397 - 341)), left=jq0C7ttmqXPS[ehT0Px3KOsy9(chr(1253 - 1205) + chr(0b1101111) + chr(0b110001), 0o10)], right=jq0C7ttmqXPS[ehT0Px3KOsy9(chr(399 - 351) + '\157' + '\x31', 8)], top=jq0C7ttmqXPS[ehT0Px3KOsy9(chr(1602 - 1554) + chr(0b1101111) + chr(296 - 248), 8)], bottom=jq0C7ttmqXPS[ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)], value=ehT0Px3KOsy9('\060' + chr(4977 - 4866) + chr(0b10010 + 0o36), 8), input_name=T1P2HfUVrGuW, output_name=AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'r\xd7Qy\xb1Z\x99hu\xc2\x1d'), '\x64' + chr(0b1100011 + 0o2) + chr(7051 - 6952) + chr(4022 - 3911) + chr(100) + '\x65')(chr(2723 - 2606) + '\x74' + chr(0b1100110) + '\055' + chr(2424 - 2368))) T1P2HfUVrGuW = AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'r\xd7Qy\xb1Z\x99hu\xc2\x1d'), chr(100) + chr(7858 - 7757) + '\143' + '\x6f' + chr(2578 - 2478) + chr(8904 - 8803))(chr(13639 - 13522) + '\164' + chr(102) + chr(0b101101) + '\070') IWgRjfx6mYq0 = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8) TNNPqSZ0SIwf = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8) if xafqLlk3kkUe(SXOLrMavuUCe(b'^\xd3Bt\x8aP'), chr(0b101010 + 0o72) + chr(0b1001100 + 0o31) + chr(0b1100011) + chr(111) + chr(100) + chr(5963 - 5862))('\x75' + chr(0b1101101 + 0o7) + chr(421 - 319) + chr(1854 - 1809) + chr(56)) in xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'F\xc2In'), chr(2715 - 2615) + '\145' + chr(99) + chr(0b1011000 + 0o27) + '\144' + chr(0b1100101))(chr(4746 - 4629) + chr(116) + chr(9192 - 9090) + '\x2d' + chr(0b111000)))(): (IWgRjfx6mYq0, TNNPqSZ0SIwf) = ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'^\xd3Bt\x8aP'), chr(100) + chr(101) + chr(0b1100011) + chr(0b100110 + 0o111) + chr(5348 - 5248) + '\145')(chr(8111 - 7994) + chr(0b1110100) + chr(2872 - 2770) + chr(0b101101) + chr(0b111000))]) (xCDNMTg51zI4, aWtpZRO3JbHj) = ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'F\xc2Bs\x8bY'), '\144' + chr(101) + chr(1078 - 979) + chr(0b110010 + 0o75) + '\x64' + '\x65')(chr(117) + '\x74' + chr(0b111111 + 0o47) + chr(45) + chr(0b101111 + 0o11))]) OUd2MptGD0Z_ = {xafqLlk3kkUe(SXOLrMavuUCe(b'[\xc6\\t\x8a'), '\x64' + chr(0b111110 + 0o47) + chr(99) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'{\xe6\|T\xaa'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b111001 + 0o54))(chr(0b100001 + 0o124) + chr(0b1110100) + chr(0b1010001 + 0o25) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'K\xd2\\q'), chr(0b1100100) + '\x65' + chr(6982 - 6883) + chr(0b1010111 + 0o30) + '\144' + chr(3344 - 3243))(chr(0b1000011 + 0o62) + '\164' + chr(0b11000 + 0o116) + chr(0b100110 + 0o7) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'd\xe9sQ\xbbq\xa9CI\xf6:\xce\x07xO\x07\xab\x86'), chr(100) + '\x65' + '\x63' + chr(111) + chr(0b11010 + 0o112) + '\145')(chr(0b1100111 + 0o16) + '\x74' + '\x66' + '\055' + chr(2075 - 2019))} vqKjmkMjgLyj = NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b']\xc8_q\x87[\x8bCf\xd8\x07\xec=Fr6\x81\xa4'), chr(6289 - 6189) + chr(0b101011 + 0o72) + chr(451 - 352) + chr(349 - 238) + chr(3878 - 3778) + chr(101))(chr(1023 - 906) + chr(3411 - 3295) + chr(8536 - 8434) + '\x2d' + chr(0b1100 + 0o54))] if xafqLlk3kkUe(SXOLrMavuUCe(b']\xc8_q\x87[\x8bCf\xd8\x07\xec=Fr6\x81\xa4'), chr(100) + '\145' + '\143' + '\x6f' + chr(0b100110 + 0o76) + '\x65')('\x75' + '\164' + chr(102) + chr(45) + chr(56)) in NOaGA2BHucaX else xafqLlk3kkUe(SXOLrMavuUCe(b'[\xc6\\t\x8a'), chr(100) + chr(0b1011000 + 0o15) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(102) + chr(0b100000 + 0o15) + '\x38') if vqKjmkMjgLyj not in OUd2MptGD0Z_: raise RQ6CSRrFArYB(xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xd4\x10i\x97E\x89<l\xc4I\xf47\\&,\x9b\xba\x86\xf5\x1b\x80tV\xd3\xb1U\xb3i\x0f?\xc9\xfb~1\t4a\xe7\x8bH\xd5\x1e=\xa7A\xccuv\x97\x08\xba\x1fAr7\x9b\xa8\xd6\xf3\x1a\x87dW\xdd'), chr(0b1100100) + chr(917 - 816) + chr(724 - 625) + '\x6f' + chr(0b1010000 + 0o24) + chr(9890 - 9789))('\165' + chr(10553 - 10437) + chr(102) + chr(175 - 130) + chr(0b110111 + 0o1))) vqKjmkMjgLyj = OUd2MptGD0Z_[vqKjmkMjgLyj] if xafqLlk3kkUe(SXOLrMavuUCe(b'J\xcb_\x7f\x8fY\xb3lj\xd8\x05'), chr(0b100010 + 0o102) + chr(1112 - 1011) + chr(99) + chr(111) + '\144' + chr(0b10100 + 0o121))('\x75' + chr(9822 - 9706) + '\x66' + chr(1723 - 1678) + chr(0b111000)) in xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'F\xc2In'), chr(100) + chr(0b101000 + 0o75) + chr(0b1010101 + 0o16) + '\x6f' + chr(3467 - 3367) + '\145')(chr(0b1110101) + chr(116) + '\146' + '\055' + chr(56)))(): fmnbDm9w6qsF = ZcVRUPDmzOeE(NOaGA2BHucaX[xafqLlk3kkUe(SXOLrMavuUCe(b'J\xcb_\x7f\x8fY\xb3lj\xd8\x05'), '\144' + chr(0b110100 + 0o61) + '\x63' + chr(0b1101111) + chr(9834 - 9734) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1101 + 0o131) + chr(45) + chr(56))]) else: fmnbDm9w6qsF = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101010 + 0o6), 8) xafqLlk3kkUe(DWRxBUgAZTaT, xafqLlk3kkUe(SXOLrMavuUCe(b'L\xc3TB\x9eZ\x83pl\xd9\x0e\xc5/Ar7\xb1\xba\x97\xfe\r\x9d\x7fU\xac\xacB\xe3x\x14'), '\144' + chr(0b1100101) + chr(606 - 507) + chr(111) + chr(2611 - 2511) + chr(0b1000010 + 0o43))(chr(117) + chr(0b1110100) + chr(0b110110 + 0o60) + '\x2d' + chr(0b111000)))(builder=hyxr9mzVnIH8, name=AIvJRzLdDfgF, height=aWtpZRO3JbHj, width=xCDNMTg51zI4, stride_height=IWgRjfx6mYq0, stride_width=TNNPqSZ0SIwf, layer_type=nF24o7I0_Wgs, padding_type=vqKjmkMjgLyj, exclude_pad_area=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10101 + 0o33), 8), is_global=fmnbDm9w6qsF, input_name=T1P2HfUVrGuW, output_name=RvHisuz8b6tn)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_batchnorm	def convert_batchnorm(net, node, module, builder): """Convert a batchnorm layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] inputs = node['inputs'] eps = 1e-3 # Default value of eps for MXNet. use_global_stats = False # Default value of use_global_stats for MXNet. fix_gamma = True # Default value of fix_gamma for MXNet. attrs = _get_attrs(node) if 'eps' in attrs: eps = literal_eval(attrs['eps']) if 'fix_gamma' in attrs: fix_gamma = literal_eval(attrs['fix_gamma']) args, aux = module.get_params() gamma = args[_get_node_name(net, inputs[1][0])].asnumpy() beta = args[_get_node_name(net, inputs[2][0])].asnumpy() mean = aux[_get_node_name(net, inputs[3][0])].asnumpy() variance = aux[_get_node_name(net, inputs[4][0])].asnumpy() nb_channels = gamma.shape[0] if fix_gamma: gamma.fill(1.) builder.add_batchnorm( name=name, channels=nb_channels, gamma=gamma, beta=beta, mean=mean, variance=variance, input_name=input_name, output_name=output_name, epsilon=eps)	python	def convert_batchnorm(net, node, module, builder): """Convert a batchnorm layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ input_name, output_name = _get_input_output_name(net, node) name = node['name'] inputs = node['inputs'] eps = 1e-3 # Default value of eps for MXNet. use_global_stats = False # Default value of use_global_stats for MXNet. fix_gamma = True # Default value of fix_gamma for MXNet. attrs = _get_attrs(node) if 'eps' in attrs: eps = literal_eval(attrs['eps']) if 'fix_gamma' in attrs: fix_gamma = literal_eval(attrs['fix_gamma']) args, aux = module.get_params() gamma = args[_get_node_name(net, inputs[1][0])].asnumpy() beta = args[_get_node_name(net, inputs[2][0])].asnumpy() mean = aux[_get_node_name(net, inputs[3][0])].asnumpy() variance = aux[_get_node_name(net, inputs[4][0])].asnumpy() nb_channels = gamma.shape[0] if fix_gamma: gamma.fill(1.) builder.add_batchnorm( name=name, channels=nb_channels, gamma=gamma, beta=beta, mean=mean, variance=variance, input_name=input_name, output_name=output_name, epsilon=eps)	[ "def", "convert_batchnorm", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "input_name", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ")", "name", "=", "node", "[", "'name'", "]", "inputs", "=", "node", "[", "'inputs'", "]", "eps", "=", "1e-3", "# Default value of eps for MXNet.", "use_global_stats", "=", "False", "# Default value of use_global_stats for MXNet.", "fix_gamma", "=", "True", "# Default value of fix_gamma for MXNet.", "attrs", "=", "_get_attrs", "(", "node", ")", "if", "'eps'", "in", "attrs", ":", "eps", "=", "literal_eval", "(", "attrs", "[", "'eps'", "]", ")", "if", "'fix_gamma'", "in", "attrs", ":", "fix_gamma", "=", "literal_eval", "(", "attrs", "[", "'fix_gamma'", "]", ")", "args", ",", "aux", "=", "module", ".", "get_params", "(", ")", "gamma", "=", "args", "[", "_get_node_name", "(", "net", ",", "inputs", "[", "1", "]", "[", "0", "]", ")", "]", ".", "asnumpy", "(", ")", "beta", "=", "args", "[", "_get_node_name", "(", "net", ",", "inputs", "[", "2", "]", "[", "0", "]", ")", "]", ".", "asnumpy", "(", ")", "mean", "=", "aux", "[", "_get_node_name", "(", "net", ",", "inputs", "[", "3", "]", "[", "0", "]", ")", "]", ".", "asnumpy", "(", ")", "variance", "=", "aux", "[", "_get_node_name", "(", "net", ",", "inputs", "[", "4", "]", "[", "0", "]", ")", "]", ".", "asnumpy", "(", ")", "nb_channels", "=", "gamma", ".", "shape", "[", "0", "]", "if", "fix_gamma", ":", "gamma", ".", "fill", "(", "1.", ")", "builder", ".", "add_batchnorm", "(", "name", "=", "name", ",", "channels", "=", "nb_channels", ",", "gamma", "=", "gamma", ",", "beta", "=", "beta", ",", "mean", "=", "mean", ",", "variance", "=", "variance", ",", "input_name", "=", "input_name", ",", "output_name", "=", "output_name", ",", "epsilon", "=", "eps", ")" ]	Convert a batchnorm layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "a", "batchnorm", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L497-L545	train	Convert a batchnorm layer from mxnet to coreml.	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(1867 - 1819) + chr(0b1101111) + chr(2546 - 2495) + chr(1765 - 1711) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1406 - 1358) + chr(0b1101111) + '\x31' + chr(48) + chr(0b110110), 19726 - 19718), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(6301 - 6190) + '\061' + '\x37' + chr(369 - 321), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + '\x34' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1144 - 1096) + chr(0b10100 + 0o133) + chr(0b101011 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\063' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(5564 - 5453) + chr(555 - 506) + chr(54) + chr(2194 - 2140), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\062' + chr(0b101101 + 0o4) + chr(0b101101 + 0o5), 0b1000), ehT0Px3KOsy9('\x30' + chr(1167 - 1056) + '\x32' + '\064' + chr(716 - 664), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8339 - 8228) + '\x33' + chr(49) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(267 - 216) + chr(0b110100) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2173 - 2122) + chr(2464 - 2410) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(1849 - 1796) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3867 - 3756) + chr(946 - 895) + chr(53) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(6820 - 6709) + chr(0b10000 + 0o44) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(12315 - 12204) + '\x31' + chr(50) + chr(2700 - 2647), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(354 - 303), 55460 - 55452), ehT0Px3KOsy9('\060' + chr(935 - 824) + chr(53) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + '\x33' + '\x37' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(299 - 251) + '\x6f' + chr(0b110001) + chr(1793 - 1744), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\062' + '\060' + chr(0b11011 + 0o30), 45530 - 45522), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(48) + chr(51), 31302 - 31294), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101 + 0o55) + chr(0b110 + 0o56) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1497 - 1449) + '\157' + chr(49) + '\x33' + chr(0b111 + 0o54), 34978 - 34970), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(0b110001) + chr(0b110010) + chr(1863 - 1812), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(1719 - 1668) + chr(0b100 + 0o57), 34925 - 34917), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b1011 + 0o50) + chr(0b110010) + '\x30', 0o10), ehT0Px3KOsy9(chr(1613 - 1565) + chr(7186 - 7075) + chr(723 - 674) + '\066' + chr(0b1111 + 0o43), 26567 - 26559), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x32' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(1956 - 1902) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o16) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(0b10000 + 0o43) + chr(50) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b11001 + 0o126) + '\x33' + chr(0b100010 + 0o17) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + '\066', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b100110 + 0o111) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(492 - 438) + chr(0b10101 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(350 - 302) + chr(0b1001000 + 0o47) + chr(0b110001) + '\x31' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b101 + 0o62) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110110) + '\062', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(173 - 125), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd'), chr(0b101011 + 0o71) + '\145' + chr(4935 - 4836) + chr(620 - 509) + chr(0b100001 + 0o103) + chr(2682 - 2581))('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(0b110 + 0o62)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def bqIvdMQDDskD(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (T1P2HfUVrGuW, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b"\x9d'\x15@"), chr(0b1010110 + 0o16) + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(101))(chr(117) + '\x74' + chr(102) + chr(0b11 + 0o52) + '\070')] vXoupepMtCXU = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a(\x08Pv\xae'), chr(0b1100100) + chr(101) + '\143' + chr(11294 - 11183) + '\x64' + chr(0b1100101))(chr(0b110011 + 0o102) + chr(116) + '\x66' + chr(0b1010 + 0o43) + chr(0b1 + 0o67))] ANx8zFubz7L8 = 0.001 FZEHC7S9PJcW = ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8) UfvgJjPdnc8f = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(205 - 156), 0o10) oIhwMA96NShQ = xT4YRD_aidwj(FDgyextYBrUF) if xafqLlk3kkUe(SXOLrMavuUCe(b'\x966\x0b'), chr(0b1100100) + chr(101) + chr(2567 - 2468) + chr(0b11100 + 0o123) + chr(7803 - 7703) + chr(0b101100 + 0o71))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(0b111000)) in oIhwMA96NShQ: ANx8zFubz7L8 = ZcVRUPDmzOeE(oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x966\x0b'), '\144' + chr(101) + '\143' + chr(111) + chr(0b1100100) + chr(0b100001 + 0o104))('\165' + '\164' + chr(102) + chr(0b100011 + 0o12) + chr(0b0 + 0o70))]) if xafqLlk3kkUe(SXOLrMavuUCe(b'\x95/\x00ze\xbc\x1b\xe7\xc5'), chr(100) + '\145' + chr(99) + '\x6f' + '\144' + '\145')('\x75' + chr(0b111111 + 0o65) + chr(6995 - 6893) + chr(45) + '\x38') in oIhwMA96NShQ: UfvgJjPdnc8f = ZcVRUPDmzOeE(oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x95/\x00ze\xbc\x1b\xe7\xc5'), '\144' + chr(101) + '\x63' + '\x6f' + '\144' + '\145')('\165' + chr(10743 - 10627) + chr(102) + chr(1221 - 1176) + chr(3136 - 3080))]) (kJDRfRhcZHjS, bwxMVhRdvLNk) = RqocVGOryNPv.get_params() nfeH4ZtvQXsW = kJDRfRhcZHjS[N1qW0w7U9iTe(DyzboKL9cczb, vXoupepMtCXU[ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b10111 + 0o130) + chr(0b110001), 8)][ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(0b11 + 0o55), 8)])].asnumpy() FjcovgoHM1LG = kJDRfRhcZHjS[N1qW0w7U9iTe(DyzboKL9cczb, vXoupepMtCXU[ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(50), 8)][ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(321 - 273), 8)])].asnumpy() aJhItC_Vawlw = bwxMVhRdvLNk[N1qW0w7U9iTe(DyzboKL9cczb, vXoupepMtCXU[ehT0Px3KOsy9('\060' + chr(111) + '\063', 14358 - 14350)][ehT0Px3KOsy9(chr(2194 - 2146) + '\x6f' + chr(0b110000), 8)])].asnumpy() nVKbP5sF7181 = bwxMVhRdvLNk[N1qW0w7U9iTe(DyzboKL9cczb, vXoupepMtCXU[ehT0Px3KOsy9('\060' + '\x6f' + chr(333 - 281), 21374 - 21366)][ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)])].asnumpy() BaEXWlhAZWUX = nfeH4ZtvQXsW.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(0b10001 + 0o37), 8)] if UfvgJjPdnc8f: xafqLlk3kkUe(nfeH4ZtvQXsW, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95/\x14I'), '\144' + chr(101) + chr(0b1 + 0o142) + chr(0b1101111) + chr(1586 - 1486) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + '\x2d' + '\070'))(1.0) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92"\x1cz`\xbc\x02\xe9\xcc\xa6\x89\x86\xf6'), chr(0b1100100) + chr(101) + chr(0b1010011 + 0o20) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(8462 - 8346) + '\146' + chr(0b101101) + chr(2365 - 2309)))(name=AIvJRzLdDfgF, channels=BaEXWlhAZWUX, gamma=nfeH4ZtvQXsW, beta=FjcovgoHM1LG, mean=aJhItC_Vawlw, variance=nVKbP5sF7181, input_name=T1P2HfUVrGuW, output_name=RvHisuz8b6tn, epsilon=ANx8zFubz7L8)
apache/incubator-mxnet	tools/coreml/converter/_layers.py	convert_concat	def convert_concat(net, node, module, builder): """Convert concat layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ # Get input and output names input_names, output_name = _get_input_output_name(net, node, 'all') name = node['name'] mode = 'CONCAT' builder.add_elementwise(name = name, input_names = input_names, output_name = output_name, mode = mode)	python	def convert_concat(net, node, module, builder): """Convert concat layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object. """ # Get input and output names input_names, output_name = _get_input_output_name(net, node, 'all') name = node['name'] mode = 'CONCAT' builder.add_elementwise(name = name, input_names = input_names, output_name = output_name, mode = mode)	[ "def", "convert_concat", "(", "net", ",", "node", ",", "module", ",", "builder", ")", ":", "# Get input and output names", "input_names", ",", "output_name", "=", "_get_input_output_name", "(", "net", ",", "node", ",", "'all'", ")", "name", "=", "node", "[", "'name'", "]", "mode", "=", "'CONCAT'", "builder", ".", "add_elementwise", "(", "name", "=", "name", ",", "input_names", "=", "input_names", ",", "output_name", "=", "output_name", ",", "mode", "=", "mode", ")" ]	Convert concat layer from mxnet to coreml. Parameters ---------- network: net A mxnet network object. layer: node Node to convert. module: module An module for MXNet builder: NeuralNetworkBuilder A neural network builder object.	[ "Convert", "concat", "layer", "from", "mxnet", "to", "coreml", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_layers.py#L548-L570	train	Convert a concat layer from mxnet to coreml.	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(1084 - 1036) + chr(111) + '\062' + chr(684 - 632) + chr(0b101100 + 0o4), 34057 - 34049), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x33' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(4795 - 4684) + '\061' + chr(160 - 106) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(8752 - 8641) + chr(198 - 148) + '\x31' + chr(2444 - 2394), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(52) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(880 - 832) + '\157' + '\x31' + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11161 - 11050) + chr(1087 - 1038) + '\x33' + chr(2048 - 1995), ord("\x08")), ehT0Px3KOsy9(chr(303 - 255) + '\x6f' + '\062' + chr(0b1110 + 0o45) + chr(2322 - 2267), 47331 - 47323), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101111 + 0o4) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(1722 - 1611) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\066' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(872 - 824) + chr(0b1101111) + '\x31' + '\x30' + chr(0b0 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001 + 0o0) + '\065' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b110010) + chr(0b110000) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\x33' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2392 - 2281) + chr(0b110011) + '\x33' + chr(2033 - 1981), 46529 - 46521), ehT0Px3KOsy9(chr(1276 - 1228) + chr(0b111001 + 0o66) + chr(0b10101 + 0o35) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(961 - 909), 0o10), ehT0Px3KOsy9(chr(2015 - 1967) + chr(10617 - 10506) + '\065' + chr(1403 - 1350), 19291 - 19283), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(0b10100 + 0o36) + '\060' + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(2117 - 2068) + '\063' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(216 - 168) + '\x6f' + '\x33' + '\x32' + '\063', 36322 - 36314), ehT0Px3KOsy9('\x30' + chr(9141 - 9030) + '\061' + '\x32' + chr(55), 35915 - 35907), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11001 + 0o32) + '\067' + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(51) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11799 - 11688) + chr(0b10101 + 0o36) + chr(0b110111) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(10881 - 10770) + chr(0b101000 + 0o13) + '\x31' + chr(2437 - 2384), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1 + 0o60) + chr(53) + chr(0b100001 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b110001) + chr(54) + chr(0b10010 + 0o41), 0o10), ehT0Px3KOsy9(chr(1596 - 1548) + chr(0b1101111) + chr(1428 - 1375) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b110101 + 0o72) + chr(0b101000 + 0o11) + chr(0b100001 + 0o22) + chr(0b110001 + 0o6), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101010 + 0o10) + chr(0b110110) + chr(1959 - 1909), 0o10), ehT0Px3KOsy9('\060' + chr(5346 - 5235) + chr(0b110111), 47961 - 47953), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1534 - 1480) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2776 - 2723) + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x37' + chr(2229 - 2180), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110001) + chr(0b10000 + 0o44) + chr(0b100010 + 0o25), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + chr(0b10100 + 0o37) + '\066' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x32' + chr(1934 - 1881) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\x33' + '\x37' + chr(2388 - 2338), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(11791 - 11680) + '\065' + chr(1965 - 1917), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e'), '\144' + '\x65' + '\143' + chr(0b101001 + 0o106) + chr(0b110000 + 0o64) + chr(0b100100 + 0o101))(chr(117) + chr(116) + chr(7036 - 6934) + chr(661 - 616) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def A7HqsJAjvx4l(DyzboKL9cczb, FDgyextYBrUF, RqocVGOryNPv, hyxr9mzVnIH8): (CMC8pWw9JJzH, RvHisuz8b6tn) = IOVA0BOdpz8N(DyzboKL9cczb, FDgyextYBrUF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xb1\x1c'), '\x64' + chr(1702 - 1601) + chr(9212 - 9113) + '\157' + '\x64' + chr(0b1010010 + 0o23))(chr(0b1101011 + 0o12) + chr(116) + chr(4271 - 4169) + chr(45) + chr(56))) AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xbc\x1d\xef'), chr(100) + chr(972 - 871) + '\x63' + chr(827 - 716) + chr(0b1000011 + 0o41) + chr(0b1100101))(chr(6808 - 6691) + chr(4040 - 3924) + '\x66' + '\055' + chr(0b101111 + 0o11))] holLFgwB7vsP = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\x92>\xc9\xa2\x1a'), chr(100) + '\x65' + chr(99) + chr(0b1101111) + '\x64' + chr(0b10001 + 0o124))(chr(117) + chr(116) + '\x66' + chr(0b101101) + chr(2014 - 1958)) xafqLlk3kkUe(hyxr9mzVnIH8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xb9\x14\xd5\x86"8\xf2zjC7\x03\xf0\xbb'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(6303 - 6186) + chr(0b1001001 + 0o53) + chr(0b1001111 + 0o27) + chr(0b10111 + 0o26) + '\x38'))(name=AIvJRzLdDfgF, input_names=CMC8pWw9JJzH, output_name=RvHisuz8b6tn, mode=holLFgwB7vsP)
apache/incubator-mxnet	tools/launch.py	dmlc_opts	def dmlc_opts(opts): """convert from mxnet's opts to dmlc's opts """ args = ['--num-workers', str(opts.num_workers), '--num-servers', str(opts.num_servers), '--cluster', opts.launcher, '--host-file', opts.hostfile, '--sync-dst-dir', opts.sync_dst_dir] # convert to dictionary dopts = vars(opts) for key in ['env_server', 'env_worker', 'env']: for v in dopts[key]: args.append('--' + key.replace("_","-")) args.append(v) args += opts.command try: from dmlc_tracker import opts except ImportError: print("Can't load dmlc_tracker package. Perhaps you need to run") print(" git submodule update --init --recursive") raise dmlc_opts = opts.get_opts(args) return dmlc_opts	python	def dmlc_opts(opts): """convert from mxnet's opts to dmlc's opts """ args = ['--num-workers', str(opts.num_workers), '--num-servers', str(opts.num_servers), '--cluster', opts.launcher, '--host-file', opts.hostfile, '--sync-dst-dir', opts.sync_dst_dir] # convert to dictionary dopts = vars(opts) for key in ['env_server', 'env_worker', 'env']: for v in dopts[key]: args.append('--' + key.replace("_","-")) args.append(v) args += opts.command try: from dmlc_tracker import opts except ImportError: print("Can't load dmlc_tracker package. Perhaps you need to run") print(" git submodule update --init --recursive") raise dmlc_opts = opts.get_opts(args) return dmlc_opts	[ "def", "dmlc_opts", "(", "opts", ")", ":", "args", "=", "[", "'--num-workers'", ",", "str", "(", "opts", ".", "num_workers", ")", ",", "'--num-servers'", ",", "str", "(", "opts", ".", "num_servers", ")", ",", "'--cluster'", ",", "opts", ".", "launcher", ",", "'--host-file'", ",", "opts", ".", "hostfile", ",", "'--sync-dst-dir'", ",", "opts", ".", "sync_dst_dir", "]", "# convert to dictionary", "dopts", "=", "vars", "(", "opts", ")", "for", "key", "in", "[", "'env_server'", ",", "'env_worker'", ",", "'env'", "]", ":", "for", "v", "in", "dopts", "[", "key", "]", ":", "args", ".", "append", "(", "'--'", "+", "key", ".", "replace", "(", "\"_\"", ",", "\"-\"", ")", ")", "args", ".", "append", "(", "v", ")", "args", "+=", "opts", ".", "command", "try", ":", "from", "dmlc_tracker", "import", "opts", "except", "ImportError", ":", "print", "(", "\"Can't load dmlc_tracker package. Perhaps you need to run\"", ")", "print", "(", "\" git submodule update --init --recursive\"", ")", "raise", "dmlc_opts", "=", "opts", ".", "get_opts", "(", "args", ")", "return", "dmlc_opts" ]	convert from mxnet's opts to dmlc's opts	[ "convert", "from", "mxnet", "s", "opts", "to", "dmlc", "s", "opts" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/launch.py#L31-L54	train	convert from mxnet s opts to dmlc s opts	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(220 - 172) + '\x6f' + '\064' + chr(1466 - 1413), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\060' + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1106 - 1058) + chr(111) + chr(51) + chr(0b111 + 0o53) + '\060', 0o10), ehT0Px3KOsy9(chr(1668 - 1620) + chr(11414 - 11303) + chr(0b110010) + '\062' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1000 + 0o52) + '\066' + chr(0b110 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1110 - 1056) + chr(1057 - 1005), 33291 - 33283), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b110001) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\063' + chr(1418 - 1367), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(55) + chr(1688 - 1640), 58785 - 58777), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(0b1 + 0o66) + chr(2237 - 2189), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(778 - 727), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9761 - 9650) + '\062' + '\062' + chr(0b110001), 40758 - 40750), ehT0Px3KOsy9(chr(962 - 914) + '\x6f' + chr(0b110010) + '\061' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(2899 - 2788) + '\x31' + chr(0b101 + 0o55) + chr(1618 - 1570), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b100000 + 0o22) + '\x33', 33780 - 33772), ehT0Px3KOsy9('\060' + chr(11548 - 11437) + chr(0b110010) + chr(932 - 882) + chr(50), 0o10), ehT0Px3KOsy9(chr(2099 - 2051) + chr(3554 - 3443) + '\061' + '\x37' + chr(0b110111), 22506 - 22498), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(2239 - 2185) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(49) + chr(108 - 57), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2399 - 2350) + chr(1760 - 1706), 13993 - 13985), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1122 - 1073) + chr(816 - 762) + chr(2164 - 2112), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8224 - 8113) + chr(1904 - 1854) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5774 - 5663) + '\061' + '\062' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2235 - 2187) + chr(7311 - 7200) + chr(0b110111) + '\062', 39001 - 38993), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x34' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(2174 - 2121) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(49) + chr(2145 - 2096) + chr(2447 - 2395), 38177 - 38169), ehT0Px3KOsy9(chr(1818 - 1770) + chr(0b1000100 + 0o53) + chr(0b110010) + '\x34' + '\060', 45036 - 45028), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + '\062' + chr(0b101000 + 0o17) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8411 - 8300) + chr(2269 - 2220) + chr(288 - 239) + chr(2511 - 2460), 40039 - 40031), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(49) + chr(0b110010) + chr(0b10001 + 0o46), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b110010 + 0o75) + '\062' + chr(0b10011 + 0o40) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2076 - 1965) + chr(0b110001) + '\065', 32436 - 32428), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2284 - 2231) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(698 - 648) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2320 - 2269) + chr(0b101011 + 0o12) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10985 - 10874) + '\x32' + chr(0b110100) + chr(1816 - 1764), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(55) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(73 - 20) + '\060', 7073 - 7065)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b'), chr(0b1100100) + chr(295 - 194) + '\143' + '\x6f' + '\x64' + '\145')('\165' + '\164' + chr(2222 - 2120) + chr(45) + chr(0b10110 + 0o42)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def xz15R4jAPSJE(BdcLDk4EK_iw): kJDRfRhcZHjS = [xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xae\xbe\xe3\xd8\x19\|\xf4\x8aS~\xe3\xf9'), chr(4608 - 4508) + chr(8744 - 8643) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))('\x75' + chr(4300 - 4184) + chr(0b1100110) + chr(45) + chr(0b111000)), M8_cKLkHVB2V(BdcLDk4EK_iw.c1aWEsj_NmYg), xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xae\xbe\xe3\xd8\x19x\xfe\x8aN~\xe3\xf9'), chr(100) + '\x65' + '\143' + chr(111) + '\144' + chr(101))(chr(5302 - 5185) + chr(11080 - 10964) + chr(1099 - 997) + '\x2d' + '\070'), M8_cKLkHVB2V(BdcLDk4EK_iw.num_servers), xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xae\xb3\xfa\xc0G\x7f\xfe\x8a'), chr(2626 - 2526) + chr(6860 - 6759) + '\x63' + chr(111) + '\144' + chr(101))('\x75' + '\x74' + chr(0b1011110 + 0o10) + chr(0b111 + 0o46) + chr(0b101001 + 0o17)), BdcLDk4EK_iw.launcher, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xae\xb8\xf9\xc6@&\xfd\x91T~'), chr(0b1011110 + 0o6) + chr(0b1100101) + chr(0b1101 + 0o126) + chr(0b111101 + 0o62) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + chr(0b101101) + '\070'), BdcLDk4EK_iw.hostfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xae\xa3\xef\xdbW&\xff\x8bL6\xf5\xe3"'), chr(3137 - 3037) + chr(101) + chr(5258 - 5159) + chr(6727 - 6616) + chr(0b1 + 0o143) + '\x65')(chr(117) + chr(116) + '\146' + '\x2d' + chr(0b111000)), BdcLDk4EK_iw.sync_dst_dir] RwSqY4sHFHiC = p1G5VS3dE_Ss(BdcLDk4EK_iw) for K3J4ZwSlE0sT in [xafqLlk3kkUe(SXOLrMavuUCe(b'@\xed\xa6\xc9\xc6Qy\xed\x9dJ'), '\144' + chr(6265 - 6164) + chr(0b101011 + 0o70) + chr(111) + chr(0b1100 + 0o130) + '\x65')(chr(117) + chr(0b1100100 + 0o20) + '\146' + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'@\xed\xa6\xc9\xc2[y\xf0\x9dJ'), chr(100) + '\x65' + chr(5429 - 5330) + '\x6f' + chr(5080 - 4980) + chr(0b1100101))(chr(6901 - 6784) + '\164' + chr(102) + chr(383 - 338) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'@\xed\xa6'), '\x64' + chr(3416 - 3315) + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000))]: for cMbll0QYhULo in RwSqY4sHFHiC[K3J4ZwSlE0sT]: xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'D\xf3\xa0\xf3\xdbP'), chr(0b1100100) + '\x65' + chr(6020 - 5921) + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + chr(0b111 + 0o155) + '\146' + '\x2d' + chr(919 - 863)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xae'), chr(3581 - 3481) + chr(2909 - 2808) + chr(99) + '\x6f' + chr(7729 - 7629) + '\145')(chr(0b11001 + 0o134) + '\164' + chr(0b1100110) + chr(45) + chr(56)) + xafqLlk3kkUe(K3J4ZwSlE0sT, xafqLlk3kkUe(SXOLrMavuUCe(b'W\xe6\xa0\xfa\xd4Wn'), chr(2689 - 2589) + chr(872 - 771) + chr(99) + chr(0b1011000 + 0o27) + chr(1998 - 1898) + chr(101))(chr(0b101 + 0o160) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'z'), '\144' + chr(526 - 425) + chr(99) + '\157' + '\144' + '\145')('\165' + chr(8587 - 8471) + '\x66' + '\x2d' + chr(2825 - 2769)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x08'), '\x64' + '\145' + chr(99) + chr(0b1100111 + 0o10) + '\144' + '\x65')(chr(0b11 + 0o162) + '\164' + chr(0b100100 + 0o102) + chr(1769 - 1724) + chr(0b111000)))) xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'D\xf3\xa0\xf3\xdbP'), chr(4930 - 4830) + chr(0b1100101) + '\x63' + '\x6f' + chr(1603 - 1503) + '\x65')(chr(0b1100011 + 0o22) + chr(0b1110100) + chr(0b11111 + 0o107) + chr(579 - 534) + '\x38'))(cMbll0QYhULo) kJDRfRhcZHjS += BdcLDk4EK_iw.command try: (BdcLDk4EK_iw,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'A\xee\xbc\xf5\xea@y\xfa\x9bS~\xe3'), chr(0b1100100) + chr(0b11011 + 0o112) + chr(0b1100011 + 0o0) + chr(4875 - 4764) + chr(100) + chr(0b111111 + 0o46))('\x75' + chr(116) + chr(0b1100110) + chr(1755 - 1710) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'J\xf3\xa4\xe5'), '\x64' + chr(2765 - 2664) + chr(0b110 + 0o135) + chr(111) + chr(0b110010 + 0o62) + chr(101))(chr(0b1001011 + 0o52) + '\x74' + '\x66' + chr(0b101101) + chr(1933 - 1877))), xafqLlk3kkUe(SXOLrMavuUCe(b'J\xf3\xa4\xe5'), '\x64' + chr(0b1011101 + 0o10) + chr(99) + chr(0b1101111) + chr(100) + chr(0b100011 + 0o102))('\165' + chr(0b11000 + 0o134) + chr(102) + chr(399 - 354) + '\070')),) except yROw0HWBk0Qc: zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b"f\xe2\xbe\xb1\xc1\x14g\xf4\x99\\;\xf5\xe7<0\xcd\x0b\x81\xaam\x1fu%%J\x00\x8c'\xc1\xde.y\xbf-{7\x99\xcc\\gV\xa3\xa9\xf9\xc0\x14e\xfe\x9d\\;\xe5\xe5p!\xe7\x11"), chr(100) + chr(0b1100101) + '\x63' + chr(10736 - 10625) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b110111 + 0o75) + chr(0b100000 + 0o106) + chr(0b1100 + 0o41) + chr(56))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xa3\xf0\xb6\xd2]\x7f\xbb\x8bMy\xfc\xe54&\xfe\x1a\xd3\xbe~\x10q#`\x1aL\xc2%\xce\xd0?w\xb2 Y7\x88\xd1OdL\xf5\xb5'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(11338 - 11221) + '\164' + chr(581 - 479) + chr(1742 - 1697) + '\070')) raise xz15R4jAPSJE = BdcLDk4EK_iw.get_opts(kJDRfRhcZHjS) return xz15R4jAPSJE
apache/incubator-mxnet	python/mxnet/gluon/rnn/rnn_layer.py	_RNNLayer._unfuse	def _unfuse(self): """Unfuses the fused RNN in to a stack of rnn cells.""" assert not self._projection_size, "_unfuse does not support projection layer yet!" assert not self._lstm_state_clip_min and not self._lstm_state_clip_max, \ "_unfuse does not support state clipping yet!" get_cell = {'rnn_relu': lambda kwargs: rnn_cell.RNNCell(self._hidden_size, activation='relu', kwargs), 'rnn_tanh': lambda kwargs: rnn_cell.RNNCell(self._hidden_size, activation='tanh', kwargs), 'lstm': lambda kwargs: rnn_cell.LSTMCell(self._hidden_size, kwargs), 'gru': lambda kwargs: rnn_cell.GRUCell(self._hidden_size, kwargs)}[self._mode] stack = rnn_cell.HybridSequentialRNNCell(prefix=self.prefix, params=self.params) with stack.name_scope(): ni = self._input_size for i in range(self._num_layers): kwargs = {'input_size': ni, 'i2h_weight_initializer': self._i2h_weight_initializer, 'h2h_weight_initializer': self._h2h_weight_initializer, 'i2h_bias_initializer': self._i2h_bias_initializer, 'h2h_bias_initializer': self._h2h_bias_initializer} if self._dir == 2: stack.add(rnn_cell.BidirectionalCell( get_cell(prefix='l%d_'%i, kwargs), get_cell(prefix='r%d_'%i, kwargs))) else: stack.add(get_cell(prefix='l%d_'%i, *kwargs)) if self._dropout > 0 and i != self._num_layers - 1: stack.add(rnn_cell.DropoutCell(self._dropout)) ni = self._hidden_size self._dir return stack	python	def _unfuse(self): """Unfuses the fused RNN in to a stack of rnn cells.""" assert not self._projection_size, "_unfuse does not support projection layer yet!" assert not self._lstm_state_clip_min and not self._lstm_state_clip_max, \ "_unfuse does not support state clipping yet!" get_cell = {'rnn_relu': lambda kwargs: rnn_cell.RNNCell(self._hidden_size, activation='relu', kwargs), 'rnn_tanh': lambda kwargs: rnn_cell.RNNCell(self._hidden_size, activation='tanh', kwargs), 'lstm': lambda kwargs: rnn_cell.LSTMCell(self._hidden_size, kwargs), 'gru': lambda kwargs: rnn_cell.GRUCell(self._hidden_size, kwargs)}[self._mode] stack = rnn_cell.HybridSequentialRNNCell(prefix=self.prefix, params=self.params) with stack.name_scope(): ni = self._input_size for i in range(self._num_layers): kwargs = {'input_size': ni, 'i2h_weight_initializer': self._i2h_weight_initializer, 'h2h_weight_initializer': self._h2h_weight_initializer, 'i2h_bias_initializer': self._i2h_bias_initializer, 'h2h_bias_initializer': self._h2h_bias_initializer} if self._dir == 2: stack.add(rnn_cell.BidirectionalCell( get_cell(prefix='l%d_'%i, kwargs), get_cell(prefix='r%d_'%i, kwargs))) else: stack.add(get_cell(prefix='l%d_'%i, *kwargs)) if self._dropout > 0 and i != self._num_layers - 1: stack.add(rnn_cell.DropoutCell(self._dropout)) ni = self._hidden_size self._dir return stack	[ "def", "_unfuse", "(", "self", ")", ":", "assert", "not", "self", ".", "_projection_size", ",", "\"_unfuse does not support projection layer yet!\"", "assert", "not", "self", ".", "_lstm_state_clip_min", "and", "not", "self", ".", "_lstm_state_clip_max", ",", "\"_unfuse does not support state clipping yet!\"", "get_cell", "=", "{", "'rnn_relu'", ":", "lambda", "", "", "kwargs", ":", "rnn_cell", ".", "RNNCell", "(", "self", ".", "_hidden_size", ",", "activation", "=", "'relu'", ",", "", "", "kwargs", ")", ",", "'rnn_tanh'", ":", "lambda", "", "", "kwargs", ":", "rnn_cell", ".", "RNNCell", "(", "self", ".", "_hidden_size", ",", "activation", "=", "'tanh'", ",", "", "", "kwargs", ")", ",", "'lstm'", ":", "lambda", "", "", "kwargs", ":", "rnn_cell", ".", "LSTMCell", "(", "self", ".", "_hidden_size", ",", "", "", "kwargs", ")", ",", "'gru'", ":", "lambda", "", "", "kwargs", ":", "rnn_cell", ".", "GRUCell", "(", "self", ".", "_hidden_size", ",", "", "", "kwargs", ")", "}", "[", "self", ".", "_mode", "]", "stack", "=", "rnn_cell", ".", "HybridSequentialRNNCell", "(", "prefix", "=", "self", ".", "prefix", ",", "params", "=", "self", ".", "params", ")", "with", "stack", ".", "name_scope", "(", ")", ":", "ni", "=", "self", ".", "_input_size", "for", "i", "in", "range", "(", "self", ".", "_num_layers", ")", ":", "kwargs", "=", "{", "'input_size'", ":", "ni", ",", "'i2h_weight_initializer'", ":", "self", ".", "_i2h_weight_initializer", ",", "'h2h_weight_initializer'", ":", "self", ".", "_h2h_weight_initializer", ",", "'i2h_bias_initializer'", ":", "self", ".", "_i2h_bias_initializer", ",", "'h2h_bias_initializer'", ":", "self", ".", "_h2h_bias_initializer", "}", "if", "self", ".", "_dir", "==", "2", ":", "stack", ".", "add", "(", "rnn_cell", ".", "BidirectionalCell", "(", "get_cell", "(", "prefix", "=", "'l%d_'", "%", "i", ",", "", "", "kwargs", ")", ",", "get_cell", "(", "prefix", "=", "'r%d_'", "%", "i", ",", "", "", "kwargs", ")", ")", ")", "else", ":", "stack", ".", "add", "(", "get_cell", "(", "prefix", "=", "'l%d_'", "%", "i", ",", "", "", "kwargs", ")", ")", "if", "self", ".", "_dropout", ">", "0", "and", "i", "!=", "self", ".", "_num_layers", "-", "1", ":", "stack", ".", "add", "(", "rnn_cell", ".", "DropoutCell", "(", "self", ".", "_dropout", ")", ")", "ni", "=", "self", ".", "_hidden_size", "*", "self", ".", "_dir", "return", "stack" ]	Unfuses the fused RNN in to a stack of rnn cells.	[ "Unfuses", "the", "fused", "RNN", "in", "to", "a", "stack", "of", "rnn", "cells", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/rnn/rnn_layer.py#L144-L181	train	Unfuses the fused RNN in to a stack of rnn cells.	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(0b101010 + 0o10) + chr(0b11110 + 0o30) + '\x33', 0b1000), ehT0Px3KOsy9(chr(2217 - 2169) + chr(9268 - 9157) + chr(0b110100) + chr(0b100011 + 0o23), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\x33' + '\x33' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x37' + chr(0b110101), 52787 - 52779), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(717 - 665) + '\062', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110010) + chr(53) + chr(256 - 202), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b110001) + chr(847 - 799) + chr(0b10110 + 0o37), 45431 - 45423), ehT0Px3KOsy9('\060' + '\157' + chr(0b101000 + 0o11) + '\x36' + chr(508 - 457), 55130 - 55122), ehT0Px3KOsy9(chr(48) + '\157' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x34' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + '\x35', 8), ehT0Px3KOsy9(chr(542 - 494) + chr(111) + chr(0b110001) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11111 + 0o24) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(1770 - 1721) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(110 - 62) + chr(5761 - 5650) + chr(0b110000 + 0o2) + chr(2709 - 2656) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(9939 - 9828) + chr(0b100111 + 0o14) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(50) + '\064', 42322 - 42314), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + chr(0b11001 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1546 - 1497) + '\x30' + chr(1330 - 1282), 63584 - 63576), ehT0Px3KOsy9('\060' + chr(9856 - 9745) + chr(0b100100 + 0o15) + chr(48) + chr(48), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101011 + 0o6) + '\060' + chr(260 - 206), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(2484 - 2432) + chr(55), 26018 - 26010), ehT0Px3KOsy9('\060' + chr(1444 - 1333) + chr(0b110111) + chr(2396 - 2343), 8), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + '\061' + chr(0b110100) + chr(2410 - 2360), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\x32' + chr(877 - 824), 14964 - 14956), ehT0Px3KOsy9('\x30' + chr(10929 - 10818) + chr(1078 - 1029) + chr(55) + chr(0b101 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(808 - 760) + '\x6f' + chr(0b10111 + 0o34) + '\x33' + chr(0b1010 + 0o53), 46141 - 46133), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + '\x34' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11101 + 0o24) + chr(48) + '\066', 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110011) + chr(532 - 483), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101 + 0o56) + '\064' + '\x35', 0o10), ehT0Px3KOsy9(chr(741 - 693) + chr(111) + chr(51) + chr(0b110000) + chr(2778 - 2724), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3339 - 3228) + chr(0b110001) + chr(54) + chr(1239 - 1189), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b11010 + 0o32) + '\061', 19794 - 19786), ehT0Px3KOsy9(chr(1338 - 1290) + '\157' + chr(355 - 302) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\065' + '\x36', 8), ehT0Px3KOsy9(chr(409 - 361) + chr(111) + chr(0b110010) + chr(0b110101) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(1602 - 1491) + '\x32' + '\062' + chr(1098 - 1046), 8), ehT0Px3KOsy9(chr(1151 - 1103) + chr(0b1101111) + chr(0b110100) + '\060', 5601 - 5593)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(4790 - 4679) + chr(0b101100 + 0o11) + chr(1407 - 1359), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + '\x65')('\x75' + '\x74' + chr(102) + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def HNm4lZ9Njy9B(oVre8I6UXc3b): assert not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecV\xa8R\x08\xcb&\x07l\rkT\x84%y\xc8'), chr(1289 - 1189) + chr(101) + chr(9424 - 9325) + chr(7948 - 7837) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1001000 + 0o54) + chr(102) + chr(45) + chr(2640 - 2584))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xecS\xb4[\x17\xdd Sa\r`x\xd7"l\xd99\xe7T00)\x15IB\xe5\x0e\xb2H#z\x91\xaf\x1d\x8f\x08\xc2\xc9\xedE\xc1\x06\xa3X\x16\x8f'), chr(7675 - 7575) + chr(2651 - 2550) + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(0b1110100 + 0o1) + chr(116) + chr(0b1100110) + '\x2d' + '\070') assert not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecJ\xa9I\x0f\xf16\x07d\x16`T\x94 j\xddF\xf9H.'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(2749 - 2649) + chr(101))('\x75' + chr(0b110110 + 0o76) + chr(0b1011110 + 0o10) + chr(0b101101) + chr(56))) and (not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecJ\xa9I\x0f\xf16\x07d\x16`T\x94 j\xddF\xf9@8'), chr(0b1100100) + '\145' + chr(0b1000 + 0o133) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(7940 - 7838) + '\055' + chr(0b1101 + 0o53)))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xecS\xb4[\x17\xdd Sa\r`x\xd7"l\xd99\xe7T00)\x15IB\xe6\x08\xbcV#9\x86\xaa\x1b\x91X\xc7\xc6\xf3\x00\xcaC\xae\x1c'), chr(0b101011 + 0o71) + '\x65' + '\143' + chr(0b1000100 + 0o53) + chr(100) + '\x65')('\165' + chr(116) + chr(0b1100110) + chr(262 - 217) + chr(788 - 732)) Xpr61f97p_aY = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1H\xb4b\x10\xcb)\x06'), '\x64' + '\145' + '\143' + '\157' + chr(0b1011 + 0o131) + '\145')('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(0b11001 + 0o37)): lambda M8EIoTs2GJXE: CCU1lF1kcm5_.RNNCell(oVre8I6UXc3b._hidden_size, activation=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1C\xb6H'), chr(0b1100100) + chr(0b1000001 + 0o44) + '\143' + chr(0b1101111) + chr(100) + '\145')(chr(0b1100010 + 0o23) + chr(1357 - 1241) + chr(1739 - 1637) + '\x2d' + chr(0b1000 + 0o60)), M8EIoTs2GJXE), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1H\xb4b\x16\xcf+\x1b'), '\x64' + chr(5259 - 5158) + '\x63' + chr(7372 - 7261) + '\144' + '\145')(chr(544 - 427) + chr(116) + '\146' + chr(0b11000 + 0o25) + '\070'): lambda M8EIoTs2GJXE: CCU1lF1kcm5_.RNNCell(oVre8I6UXc3b._hidden_size, activation=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7G\xb4U'), chr(492 - 392) + chr(0b1100101) + chr(0b1000010 + 0o41) + '\x6f' + chr(0b1100001 + 0o3) + chr(6336 - 6235))(chr(117) + '\x74' + chr(0b111110 + 0o50) + '\x2d' + chr(0b111000)), M8EIoTs2GJXE), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfU\xaeP'), '\144' + '\145' + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + '\x74' + '\x66' + '\x2d' + '\x38'): lambda M8EIoTs2GJXE: CCU1lF1kcm5_.LSTMCell(oVre8I6UXc3b._hidden_size, M8EIoTs2GJXE), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4T\xaf'), chr(8184 - 8084) + '\145' + '\x63' + chr(0b101110 + 0o101) + chr(0b1100100) + chr(0b100010 + 0o103))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b101000 + 0o20)): lambda M8EIoTs2GJXE: CCU1lF1kcm5_.GRUCell(oVre8I6UXc3b._hidden_size, M8EIoTs2GJXE)}[oVre8I6UXc3b.TuvGINXTrIij] rFoCQMjVYqWa = CCU1lF1kcm5_.HybridSequentialRNNCell(prefix=oVre8I6UXc3b.K1Ha0XjJTAE7, params=oVre8I6UXc3b.nEbJZ4wfte2w) with xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xddG\xb7X=\xdd&\x1cu\x07'), chr(9159 - 9059) + '\x65' + chr(99) + chr(0b1010001 + 0o36) + '\x64' + '\145')(chr(0b1110101) + chr(0b1001 + 0o153) + chr(0b1011000 + 0o16) + '\055' + chr(2551 - 2495)))(): Ww3kqtkumeiU = oVre8I6UXc3b._input_size for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecH\xafP=\xc2$\n`\x10v'), chr(100) + chr(4475 - 4374) + chr(3588 - 3489) + chr(0b10001 + 0o136) + chr(2314 - 2214) + '\x65')('\165' + chr(0b1110100) + '\146' + chr(0b11011 + 0o22) + chr(0b101010 + 0o16)))): M8EIoTs2GJXE = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xdaH\xaaH\x16\xf16\x1a\x7f\x07'), '\x64' + chr(101) + '\143' + chr(111) + chr(0b1100011 + 0o1) + chr(1685 - 1584))(chr(0b1000010 + 0o63) + chr(116) + chr(102) + chr(0b101101) + chr(1392 - 1336)): Ww3kqtkumeiU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x14\xb2b\x15\xcb,\x14m\x16Zb\x99%w\xc4x\xf8H:%4'), chr(100) + chr(101) + chr(0b100010 + 0o101) + chr(6466 - 6355) + chr(100) + chr(0b1100101))('\165' + '\164' + '\x66' + '\x2d' + '\x38'): oVre8I6UXc3b._i2h_weight_initializer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x14\xb2b\x15\xcb,\x14m\x16Zb\x99%w\xc4x\xf8H:%4'), '\x64' + chr(101) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1100100 + 0o21) + '\x74' + chr(8882 - 8780) + '\x2d' + '\x38'): oVre8I6UXc3b._h2h_weight_initializer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x14\xb2b\x00\xc7$\x00Z\x0bkb\x83%b\xc1p\xeeD2'), chr(9388 - 9288) + chr(0b1001010 + 0o33) + chr(99) + '\157' + chr(501 - 401) + chr(0b1100101))(chr(7535 - 7418) + chr(2454 - 2338) + chr(0b1010000 + 0o26) + '\x2d' + chr(0b101000 + 0o20)): oVre8I6UXc3b._i2h_bias_initializer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x14\xb2b\x00\xc7$\x00Z\x0bkb\x83%b\xc1p\xeeD2'), '\x64' + chr(101) + chr(0b1001011 + 0o30) + chr(0b1101111) + chr(8266 - 8166) + chr(0b1100101))(chr(0b1100110 + 0o17) + chr(0b10010 + 0o142) + '\x66' + chr(1739 - 1694) + chr(0b111000)): oVre8I6UXc3b._h2h_bias_initializer} if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecB\xb3O'), chr(3629 - 3529) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b11001 + 0o115) + '\055' + '\x38')) == ehT0Px3KOsy9('\x30' + '\157' + chr(0b100110 + 0o14), 2426 - 2418): xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6l\xeaL[\xcd\x02F_-W8'), chr(100) + chr(9597 - 9496) + chr(99) + chr(0b1101111) + chr(0b1011001 + 0o13) + chr(0b111011 + 0o52))(chr(117) + chr(116) + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(CCU1lF1kcm5_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1O\xbeT\x10\xcb&\x07l\rkj\x9b\x0ff\xc1u'), chr(100) + '\x65' + chr(99) + '\x6f' + chr(100) + chr(0b110010 + 0o63))(chr(117) + chr(0b1101110 + 0o6) + '\146' + chr(45) + '\x38'))(Xpr61f97p_aY(prefix=xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\x03\xbeb'), chr(0b1100100) + '\145' + '\x63' + chr(0b1000111 + 0o50) + '\x64' + '\145')(chr(117) + chr(0b11010 + 0o132) + '\x66' + '\x2d' + chr(2648 - 2592)) % WVxHKyX45z_L, M8EIoTs2GJXE), Xpr61f97p_aY(prefix=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x03\xbeb'), '\144' + chr(101) + '\143' + chr(7799 - 7688) + chr(100) + '\145')(chr(6418 - 6301) + chr(116) + '\x66' + chr(0b101101) + '\070') % WVxHKyX45z_L, M8EIoTs2GJXE))) else: xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6l\xeaL[\xcd\x02F_-W8'), '\x64' + chr(0b1100101) + chr(4591 - 4492) + chr(2886 - 2775) + '\144' + chr(101))(chr(0b1110101) + '\x74' + '\x66' + chr(1495 - 1450) + chr(0b11 + 0o65)))(Xpr61f97p_aY(prefix=xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\x03\xbeb'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(2697 - 2596))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(56)) % WVxHKyX45z_L, *M8EIoTs2GJXE)) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecB\xa8R\x12\xc10\x07'), '\144' + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b101111 + 0o67) + chr(45) + chr(56))) > ehT0Px3KOsy9(chr(2007 - 1959) + chr(0b1011111 + 0o20) + chr(0b110000), ord("\x08")) and WVxHKyX45z_L != xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecH\xafP=\xc2$\n`\x10v'), chr(4603 - 4503) + chr(7009 - 6908) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100010 + 0o3))('\x75' + chr(116) + '\x66' + chr(1875 - 1830) + '\x38')) - ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(0b1101 + 0o44), 0o10): xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6l\xeaL[\xcd\x02F_-W8'), chr(0b1100100) + chr(0b1010001 + 0o24) + chr(0b1100011) + '\157' + '\x64' + chr(101))('\x75' + '\164' + '\146' + chr(0b100110 + 0o7) + '\x38'))(xafqLlk3kkUe(CCU1lF1kcm5_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7T\xb5M\r\xdb10`\x0ei'), '\x64' + '\x65' + chr(99) + chr(111) + '\144' + chr(7999 - 7898))('\x75' + chr(0b111 + 0o155) + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecB\xa8R\x12\xc10\x07'), chr(0b1100100) + chr(0b1010111 + 0o16) + '\143' + chr(0b10010 + 0o135) + chr(100) + chr(0b100 + 0o141))(chr(3668 - 3551) + chr(116) + '\146' + chr(0b100010 + 0o13) + chr(0b11000 + 0o40))))) Ww3kqtkumeiU = oVre8I6UXc3b._hidden_size oVre8I6UXc3b._dir return rFoCQMjVYqWa
apache/incubator-mxnet	python/mxnet/gluon/rnn/rnn_layer.py	_RNNLayer.begin_state	def begin_state(self, batch_size=0, func=ndarray.zeros, kwargs): """Initial state for this cell. Parameters ---------- batch_size: int Only required for `NDArray` API. Size of the batch ('N' in layout). Dimension of the input. func : callable, default `ndarray.zeros` Function for creating initial state. For Symbol API, func can be `symbol.zeros`, `symbol.uniform`, `symbol.var` etc. Use `symbol.var` if you want to directly feed input as states. For NDArray API, func can be `ndarray.zeros`, `ndarray.ones`, etc. kwargs : Additional keyword arguments passed to func. For example `mean`, `std`, `dtype`, etc. Returns ------- states : nested list of Symbol Starting states for the first RNN step. """ states = [] for i, info in enumerate(self.state_info(batch_size)): if info is not None: info.update(kwargs) else: info = kwargs states.append(func(name='%sh0_%d'%(self.prefix, i), **info)) return states	python	def begin_state(self, batch_size=0, func=ndarray.zeros, kwargs): """Initial state for this cell. Parameters ---------- batch_size: int Only required for `NDArray` API. Size of the batch ('N' in layout). Dimension of the input. func : callable, default `ndarray.zeros` Function for creating initial state. For Symbol API, func can be `symbol.zeros`, `symbol.uniform`, `symbol.var` etc. Use `symbol.var` if you want to directly feed input as states. For NDArray API, func can be `ndarray.zeros`, `ndarray.ones`, etc. kwargs : Additional keyword arguments passed to func. For example `mean`, `std`, `dtype`, etc. Returns ------- states : nested list of Symbol Starting states for the first RNN step. """ states = [] for i, info in enumerate(self.state_info(batch_size)): if info is not None: info.update(kwargs) else: info = kwargs states.append(func(name='%sh0_%d'%(self.prefix, i), **info)) return states	[ "def", "begin_state", "(", "self", ",", "batch_size", "=", "0", ",", "func", "=", "ndarray", ".", "zeros", ",", "", "", "kwargs", ")", ":", "states", "=", "[", "]", "for", "i", ",", "info", "in", "enumerate", "(", "self", ".", "state_info", "(", "batch_size", ")", ")", ":", "if", "info", "is", "not", "None", ":", "info", ".", "update", "(", "kwargs", ")", "else", ":", "info", "=", "kwargs", "states", ".", "append", "(", "func", "(", "name", "=", "'%sh0_%d'", "%", "(", "self", ".", "prefix", ",", "i", ")", ",", "", "", "info", ")", ")", "return", "states" ]	Initial state for this cell. Parameters ---------- batch_size: int Only required for `NDArray` API. Size of the batch ('N' in layout). Dimension of the input. func : callable, default `ndarray.zeros` Function for creating initial state. For Symbol API, func can be `symbol.zeros`, `symbol.uniform`, `symbol.var` etc. Use `symbol.var` if you want to directly feed input as states. For NDArray API, func can be `ndarray.zeros`, `ndarray.ones`, etc. **kwargs : Additional keyword arguments passed to func. For example `mean`, `std`, `dtype`, etc. Returns ------- states : nested list of Symbol Starting states for the first RNN step.	[ "Initial", "state", "for", "this", "cell", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/rnn/rnn_layer.py#L187-L220	train	Begin a state for this cell.	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(5416 - 5305) + '\x31' + chr(1684 - 1634) + chr(1856 - 1805), 62977 - 62969), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(1430 - 1381), 32070 - 32062), ehT0Px3KOsy9(chr(344 - 296) + chr(0b10101 + 0o132) + '\x33' + '\064' + chr(0b110000), 47448 - 47440), ehT0Px3KOsy9(chr(1235 - 1187) + '\x6f' + '\x33' + chr(0b11001 + 0o33) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(2032 - 1977) + '\065', 50574 - 50566), ehT0Px3KOsy9(chr(617 - 569) + '\x6f' + chr(0b110111) + chr(1054 - 1000), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b110011) + chr(813 - 758), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\065' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\062', 877 - 869), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(5387 - 5276) + chr(2183 - 2133) + chr(2034 - 1985), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1016 - 967) + chr(0b1111 + 0o41) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1907 - 1796) + chr(0b110011) + '\060' + chr(0b110111), 57434 - 57426), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b101100 + 0o4) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(410 - 299) + chr(50) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + '\063' + chr(0b1 + 0o63) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(6054 - 5943) + '\061' + '\x31' + chr(332 - 279), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + '\x32' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8109 - 7998) + chr(0b110001) + chr(1374 - 1323) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1430 - 1380) + chr(1057 - 1008) + chr(388 - 338), 0o10), ehT0Px3KOsy9(chr(1454 - 1406) + chr(11537 - 11426) + '\x31' + chr(50) + chr(49), 205 - 197), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110111) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(891 - 837) + '\062', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(3752 - 3641) + '\x32' + chr(0b110011) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1010100 + 0o33) + chr(1498 - 1449) + chr(0b101011 + 0o11) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(0b11 + 0o60) + chr(51) + chr(51), 0o10), ehT0Px3KOsy9(chr(637 - 589) + chr(111) + '\x32' + chr(0b110110) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110011) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(7362 - 7251) + chr(0b10100 + 0o36) + chr(0b100010 + 0o23) + chr(0b10011 + 0o42), 65124 - 65116), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b110111 + 0o70) + chr(0b100010 + 0o20) + '\062' + '\x33', 0o10), ehT0Px3KOsy9(chr(1503 - 1455) + '\157' + chr(0b1011 + 0o46) + chr(0b110100) + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(51) + '\065' + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + chr(0b110111), 62528 - 62520), ehT0Px3KOsy9(chr(1670 - 1622) + '\157' + chr(0b101111 + 0o2) + '\064' + chr(52), 39926 - 39918), ehT0Px3KOsy9('\x30' + '\157' + chr(450 - 400) + '\060' + chr(0b100110 + 0o14), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(374 - 323) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(54) + chr(792 - 737), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(5522 - 5411) + chr(0b11 + 0o56) + chr(0b110110) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b10010 + 0o37) + chr(0b1 + 0o61), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(1102 - 1054), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(7197 - 7097) + '\145' + '\143' + chr(111) + chr(9061 - 8961) + chr(0b1100101))(chr(117) + chr(0b1010010 + 0o42) + '\x66' + '\x2d' + chr(2510 - 2454)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Pl7voO4jC20d(oVre8I6UXc3b, ix9dZyeAmUxY=ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + '\060', 0b1000), EzOtJ3kbK5x4=xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b')l\x92\x8f\x8e'), chr(0b1000 + 0o134) + '\145' + chr(99) + chr(111) + chr(0b1100100) + chr(5146 - 5045))(chr(5641 - 5524) + chr(316 - 200) + chr(102) + chr(0b101101) + '\x38')), M8EIoTs2GJXE): jI0E6zso5mLP = [] for (WVxHKyX45z_L, S7Hxucg7jlZk) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b' }\x81\x94\x98av\xc1\|G'), '\144' + chr(0b1001 + 0o134) + '\x63' + chr(111) + '\144' + chr(101))(chr(0b100 + 0o161) + '\164' + chr(102) + '\055' + chr(1397 - 1341)))(ix9dZyeAmUxY)): if S7Hxucg7jlZk is not None: xafqLlk3kkUe(S7Hxucg7jlZk, xafqLlk3kkUe(SXOLrMavuUCe(b'\t}\xa1\xa5\x94pU\xc1c\x1ctv'), chr(0b1100100) + '\x65' + chr(0b0 + 0o143) + chr(0b1101100 + 0o3) + chr(100) + '\x65')('\x75' + '\x74' + chr(0b1100110) + '\055' + '\x38'))(M8EIoTs2GJXE) else: S7Hxucg7jlZk = M8EIoTs2GJXE xafqLlk3kkUe(jI0E6zso5mLP, xafqLlk3kkUe(SXOLrMavuUCe(b'2y\x90\x85\x93Z'), chr(100) + chr(0b1011011 + 0o12) + chr(296 - 197) + chr(0b1011110 + 0o21) + chr(0b10101 + 0o117) + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(71 - 26) + chr(2512 - 2456)))(EzOtJ3kbK5x4(name=xafqLlk3kkUe(SXOLrMavuUCe(b'vz\x88\xd0\xa2\x1b{'), chr(0b101010 + 0o72) + '\145' + chr(99) + '\x6f' + chr(0b1011011 + 0o11) + '\145')(chr(0b10011 + 0o142) + chr(116) + '\146' + chr(45) + '\070') % (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x188\xa8\x81\xcdfu\xe5NiTq'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1001 + 0o134))('\165' + chr(116) + '\146' + chr(45) + chr(0b11 + 0o65))), WVxHKyX45z_L), S7Hxucg7jlZk)) return jI0E6zso5mLP
apache/incubator-mxnet	python/mxnet/gluon/rnn/rnn_layer.py	_RNNLayer._forward_kernel	def _forward_kernel(self, F, inputs, states, *kwargs): """ forward using CUDNN or CPU kenrel""" if self._layout == 'NTC': inputs = F.swapaxes(inputs, dim1=0, dim2=1) if self._projection_size is None: params = (kwargs['{}{}_{}_{}'.format(d, l, g, t)].reshape(-1) for t in ['weight', 'bias'] for l in range(self._num_layers) for d in ['l', 'r'][:self._dir] for g in ['i2h', 'h2h']) else: params = (kwargs['{}{}_{}_{}'.format(d, l, g, t)].reshape(-1) for t in ['weight', 'bias'] for l in range(self._num_layers) for d in ['l', 'r'][:self._dir] for g in ['i2h', 'h2h', 'h2r'] if g != 'h2r' or t != 'bias') params = F._internal._rnn_param_concat(params, dim=0) rnn = F.RNN(inputs, params, *states, state_size=self._hidden_size, projection_size=self._projection_size, num_layers=self._num_layers, bidirectional=self._dir == 2, p=self._dropout, state_outputs=True, mode=self._mode, lstm_state_clip_min=self._lstm_state_clip_min, lstm_state_clip_max=self._lstm_state_clip_max, lstm_state_clip_nan=self._lstm_state_clip_nan) if self._mode == 'lstm': outputs, states = rnn[0], [rnn[1], rnn[2]] else: outputs, states = rnn[0], [rnn[1]] if self._layout == 'NTC': outputs = F.swapaxes(outputs, dim1=0, dim2=1) return outputs, states	python	def _forward_kernel(self, F, inputs, states, *kwargs): """ forward using CUDNN or CPU kenrel""" if self._layout == 'NTC': inputs = F.swapaxes(inputs, dim1=0, dim2=1) if self._projection_size is None: params = (kwargs['{}{}_{}_{}'.format(d, l, g, t)].reshape(-1) for t in ['weight', 'bias'] for l in range(self._num_layers) for d in ['l', 'r'][:self._dir] for g in ['i2h', 'h2h']) else: params = (kwargs['{}{}_{}_{}'.format(d, l, g, t)].reshape(-1) for t in ['weight', 'bias'] for l in range(self._num_layers) for d in ['l', 'r'][:self._dir] for g in ['i2h', 'h2h', 'h2r'] if g != 'h2r' or t != 'bias') params = F._internal._rnn_param_concat(params, dim=0) rnn = F.RNN(inputs, params, *states, state_size=self._hidden_size, projection_size=self._projection_size, num_layers=self._num_layers, bidirectional=self._dir == 2, p=self._dropout, state_outputs=True, mode=self._mode, lstm_state_clip_min=self._lstm_state_clip_min, lstm_state_clip_max=self._lstm_state_clip_max, lstm_state_clip_nan=self._lstm_state_clip_nan) if self._mode == 'lstm': outputs, states = rnn[0], [rnn[1], rnn[2]] else: outputs, states = rnn[0], [rnn[1]] if self._layout == 'NTC': outputs = F.swapaxes(outputs, dim1=0, dim2=1) return outputs, states	[ "def", "_forward_kernel", "(", "self", ",", "F", ",", "inputs", ",", "states", ",", "", "", "kwargs", ")", ":", "if", "self", ".", "_layout", "==", "'NTC'", ":", "inputs", "=", "F", ".", "swapaxes", "(", "inputs", ",", "dim1", "=", "0", ",", "dim2", "=", "1", ")", "if", "self", ".", "_projection_size", "is", "None", ":", "params", "=", "(", "kwargs", "[", "'{}{}_{}_{}'", ".", "format", "(", "d", ",", "l", ",", "g", ",", "t", ")", "]", ".", "reshape", "(", "-", "1", ")", "for", "t", "in", "[", "'weight'", ",", "'bias'", "]", "for", "l", "in", "range", "(", "self", ".", "_num_layers", ")", "for", "d", "in", "[", "'l'", ",", "'r'", "]", "[", ":", "self", ".", "_dir", "]", "for", "g", "in", "[", "'i2h'", ",", "'h2h'", "]", ")", "else", ":", "params", "=", "(", "kwargs", "[", "'{}{}_{}_{}'", ".", "format", "(", "d", ",", "l", ",", "g", ",", "t", ")", "]", ".", "reshape", "(", "-", "1", ")", "for", "t", "in", "[", "'weight'", ",", "'bias'", "]", "for", "l", "in", "range", "(", "self", ".", "_num_layers", ")", "for", "d", "in", "[", "'l'", ",", "'r'", "]", "[", ":", "self", ".", "_dir", "]", "for", "g", "in", "[", "'i2h'", ",", "'h2h'", ",", "'h2r'", "]", "if", "g", "!=", "'h2r'", "or", "t", "!=", "'bias'", ")", "params", "=", "F", ".", "_internal", ".", "_rnn_param_concat", "(", "", "params", ",", "dim", "=", "0", ")", "rnn", "=", "F", ".", "RNN", "(", "inputs", ",", "params", ",", "", "states", ",", "state_size", "=", "self", ".", "_hidden_size", ",", "projection_size", "=", "self", ".", "_projection_size", ",", "num_layers", "=", "self", ".", "_num_layers", ",", "bidirectional", "=", "self", ".", "_dir", "==", "2", ",", "p", "=", "self", ".", "_dropout", ",", "state_outputs", "=", "True", ",", "mode", "=", "self", ".", "_mode", ",", "lstm_state_clip_min", "=", "self", ".", "_lstm_state_clip_min", ",", "lstm_state_clip_max", "=", "self", ".", "_lstm_state_clip_max", ",", "lstm_state_clip_nan", "=", "self", ".", "_lstm_state_clip_nan", ")", "if", "self", ".", "_mode", "==", "'lstm'", ":", "outputs", ",", "states", "=", "rnn", "[", "0", "]", ",", "[", "rnn", "[", "1", "]", ",", "rnn", "[", "2", "]", "]", "else", ":", "outputs", ",", "states", "=", "rnn", "[", "0", "]", ",", "[", "rnn", "[", "1", "]", "]", "if", "self", ".", "_layout", "==", "'NTC'", ":", "outputs", "=", "F", ".", "swapaxes", "(", "outputs", ",", "dim1", "=", "0", ",", "dim2", "=", "1", ")", "return", "outputs", ",", "states" ]	forward using CUDNN or CPU kenrel	[ "forward", "using", "CUDNN", "or", "CPU", "kenrel" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/rnn/rnn_layer.py#L244-L280	train	forward using CUDNN CPU kenrel	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(3879 - 3768) + chr(57 - 8) + chr(53) + chr(2008 - 1953), 63755 - 63747), ehT0Px3KOsy9('\x30' + chr(5515 - 5404) + chr(0b1010 + 0o51) + chr(0b100001 + 0o17) + chr(2505 - 2454), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\066' + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o31) + chr(0b11011 + 0o31) + chr(0b1010 + 0o52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b100 + 0o57) + chr(0b10010 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110 + 0o52) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001 + 0o0) + chr(0b110100) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b100101 + 0o112) + chr(1146 - 1095) + chr(0b110100) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(0b101001 + 0o12) + chr(49) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9(chr(2099 - 2051) + chr(0b1101111) + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\x37' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100000 + 0o23) + '\x37' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x32' + chr(548 - 497) + chr(635 - 580), 2318 - 2310), ehT0Px3KOsy9('\060' + '\x6f' + chr(596 - 546) + chr(48) + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9('\060' + chr(3310 - 3199) + chr(1496 - 1445) + '\062' + chr(546 - 495), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1315 - 1266) + '\x34' + chr(0b10010 + 0o44), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1011101 + 0o22) + '\x32' + '\x35' + chr(0b100101 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(0b110011) + chr(2287 - 2239) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1632 - 1584) + chr(111) + chr(0b110011) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101000 + 0o7) + chr(49) + chr(0b10110 + 0o36) + chr(0b11100 + 0o30), 21583 - 21575), ehT0Px3KOsy9(chr(782 - 734) + '\157' + chr(0b110011) + chr(0b100110 + 0o14) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1011001 + 0o26) + '\x35' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(7222 - 7111) + chr(0b110001) + '\060' + chr(615 - 561), ord("\x08")), ehT0Px3KOsy9(chr(143 - 95) + chr(5774 - 5663) + chr(0b110011) + chr(50) + chr(0b110111), 55641 - 55633), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110011) + chr(0b1011 + 0o53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(2068 - 2018) + chr(0b110001) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x35' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b101 + 0o53) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1010 + 0o51) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110001 + 0o5) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(5597 - 5486) + chr(51) + '\x37', 8), ehT0Px3KOsy9(chr(1471 - 1423) + chr(111) + chr(0b110001) + '\063' + chr(48), 38512 - 38504), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b110001) + chr(0b11110 + 0o25) + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11101 + 0o25) + chr(0b111 + 0o54), 31800 - 31792), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110001) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1013 - 958) + '\066', 12629 - 12621)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'A'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(100) + chr(0b110011 + 0o62))('\165' + chr(745 - 629) + '\x66' + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def WVxBMGJmIlgU(oVre8I6UXc3b, TFxWKtvJC3ep, vXoupepMtCXU, jI0E6zso5mLP, *M8EIoTs2GJXE): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xaf\x14\x9d\xf20M'), chr(0b10010 + 0o122) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(742 - 626) + chr(102) + '\x2d' + chr(860 - 804))) == xafqLlk3kkUe(SXOLrMavuUCe(b'!\x976'), chr(0b1100010 + 0o2) + chr(0b1100101) + chr(99) + chr(0b100000 + 0o117) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b100010 + 0o122) + chr(0b1100110) + '\x2d' + chr(0b111000)): vXoupepMtCXU = TFxWKtvJC3ep.swapaxes(vXoupepMtCXU, dim1=ehT0Px3KOsy9('\060' + '\157' + chr(1784 - 1736), 0b1000), dim2=ehT0Px3KOsy9(chr(1174 - 1126) + chr(0b110111 + 0o70) + chr(0b1001 + 0o50), 54961 - 54953)) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xb3\x07\x8b\xf7 Z\x12\x88\xa7\x82u\x0b\x93\xe5\xe7'), '\x64' + chr(0b1000111 + 0o36) + chr(0b1100011) + '\x6f' + '\x64' + chr(6729 - 6628))('\x75' + chr(0b111000 + 0o74) + chr(0b1100110) + '\055' + '\x38')) is None: nEbJZ4wfte2w = (M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xbe\x0e\x99\xc2>D9\x9a\xb5'), chr(0b1100100) + chr(101) + chr(8749 - 8650) + chr(111) + chr(3803 - 3703) + chr(0b1000010 + 0o43))(chr(1425 - 1308) + '\x74' + '\x66' + chr(45) + '\070').format(pd3lxn9vqWxp, aLoH_Mt0dzwO, RWHpzFEeviFP, YeT3l7JgTbWR)].reshape(-ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\061', 8)) for YeT3l7JgTbWR in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xa6\x1c\x83\xf51'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(6392 - 6291))(chr(6120 - 6003) + chr(7013 - 6897) + chr(0b1100110) + '\055' + chr(0b11011 + 0o35)), xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xaa\x14\x97'), chr(0b1100100) + '\145' + chr(0b111101 + 0o46) + chr(12017 - 11906) + chr(6068 - 5968) + chr(101))(chr(642 - 525) + '\x74' + '\146' + chr(0b101101) + chr(0b1 + 0o67))] for aLoH_Mt0dzwO in vQr8gNKaIaWE(oVre8I6UXc3b._num_layers) for pd3lxn9vqWxp in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(100) + chr(3914 - 3813) + chr(4086 - 3987) + chr(111) + chr(0b1100100) + chr(8528 - 8427))(chr(0b1110101) + chr(116) + chr(1601 - 1499) + chr(0b10000 + 0o35) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d'), chr(0b100001 + 0o103) + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1000000 + 0o45))('\x75' + chr(0b1011010 + 0o32) + chr(0b1100110) + chr(45) + chr(0b110010 + 0o6))][:oVre8I6UXc3b._dir] for RWHpzFEeviFP in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xf1\x1d'), chr(100) + chr(0b1100101) + chr(0b10100 + 0o117) + chr(10981 - 10870) + chr(0b1011011 + 0o11) + chr(0b1000 + 0o135))('\x75' + chr(116) + chr(0b1001 + 0o135) + chr(65 - 20) + chr(2616 - 2560)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xf1\x1d'), '\x64' + chr(3035 - 2934) + '\143' + chr(0b1100010 + 0o15) + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(589 - 487) + '\055' + chr(0b111000))]) else: nEbJZ4wfte2w = (M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xbe\x0e\x99\xc2>D9\x9a\xb5'), chr(100) + chr(4106 - 4005) + '\143' + '\157' + chr(2565 - 2465) + chr(0b1100101))(chr(3755 - 3638) + '\164' + '\146' + '\055' + chr(56)).format(pd3lxn9vqWxp, aLoH_Mt0dzwO, RWHpzFEeviFP, YeT3l7JgTbWR)].reshape(-ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(0b110001), 8)) for YeT3l7JgTbWR in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xa6\x1c\x83\xf51'), '\x64' + chr(0b1110 + 0o127) + chr(99) + chr(0b1101111) + chr(9795 - 9695) + '\x65')(chr(0b0 + 0o165) + chr(0b1010110 + 0o36) + chr(102) + chr(0b100100 + 0o11) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xaa\x14\x97'), '\x64' + '\145' + chr(5703 - 5604) + chr(0b111000 + 0o67) + chr(2354 - 2254) + '\145')(chr(117) + chr(12586 - 12470) + '\146' + chr(0b101101) + chr(2848 - 2792))] for aLoH_Mt0dzwO in vQr8gNKaIaWE(oVre8I6UXc3b._num_layers) for pd3lxn9vqWxp in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), '\x64' + chr(3042 - 2941) + chr(99) + chr(111) + '\x64' + '\x65')('\x75' + chr(5991 - 5875) + chr(102) + chr(1525 - 1480) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + '\144' + chr(0b110001 + 0o64))('\x75' + chr(6984 - 6868) + chr(0b1100110) + chr(1168 - 1123) + '\070')][:oVre8I6UXc3b._dir] for RWHpzFEeviFP in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xf1\x1d'), '\x64' + chr(0b1100101) + chr(2245 - 2146) + chr(11379 - 11268) + chr(0b1000 + 0o134) + '\145')('\165' + chr(116) + chr(3803 - 3701) + chr(45) + chr(1120 - 1064)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xf1\x1d'), chr(0b1100100) + chr(101) + '\x63' + '\157' + '\x64' + chr(0b1100101))(chr(0b100111 + 0o116) + '\164' + chr(0b1100110) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xf1\x07'), chr(4407 - 4307) + chr(101) + '\143' + chr(0b111110 + 0o61) + chr(0b1100100) + chr(101))(chr(0b1001011 + 0o52) + chr(116) + '\x66' + chr(0b101101) + chr(56))] if RWHpzFEeviFP != xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xf1\x07'), chr(100) + '\145' + '\143' + '\157' + chr(100) + chr(1885 - 1784))(chr(10563 - 10446) + chr(116) + chr(4853 - 4751) + '\055' + '\x38') or YeT3l7JgTbWR != xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xaa\x14\x97'), chr(2835 - 2735) + '\145' + chr(5129 - 5030) + '\x6f' + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100100 + 0o2) + chr(45) + chr(1620 - 1564))) nEbJZ4wfte2w = TFxWKtvJC3ep._internal._rnn_param_concat(nEbJZ4wfte2w, dim=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 8)) eUZVyBXfzBUn = TFxWKtvJC3ep.RNN(vXoupepMtCXU, nEbJZ4wfte2w, *jI0E6zso5mLP, state_size=oVre8I6UXc3b._hidden_size, projection_size=oVre8I6UXc3b._projection_size, num_layers=oVre8I6UXc3b._num_layers, bidirectional=oVre8I6UXc3b._dir == ehT0Px3KOsy9(chr(48) + chr(871 - 760) + '\062', 509 - 501), p=oVre8I6UXc3b._dropout, state_outputs=ehT0Px3KOsy9(chr(609 - 561) + chr(111) + '\061', 8), mode=oVre8I6UXc3b.TuvGINXTrIij, lstm_state_clip_min=oVre8I6UXc3b._lstm_state_clip_min, lstm_state_clip_max=oVre8I6UXc3b._lstm_state_clip_max, lstm_state_clip_nan=oVre8I6UXc3b._lstm_state_clip_nan) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b';\xb6\x03\xa3\xd4\x0ba2\x93\x81\x85@'), '\144' + chr(8635 - 8534) + chr(99) + '\x6f' + '\144' + '\x65')(chr(3066 - 2949) + '\x74' + chr(0b1100110) + chr(2006 - 1961) + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xb0\x01\x89'), chr(4551 - 4451) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1011100 + 0o11))(chr(0b1110101) + chr(116) + chr(0b100001 + 0o105) + chr(45) + chr(0b101010 + 0o16)): (Dx_DllZ8uCko, jI0E6zso5mLP) = (eUZVyBXfzBUn[ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(48), 8)], [eUZVyBXfzBUn[ehT0Px3KOsy9(chr(1539 - 1491) + chr(0b1101111) + '\061', 8)], eUZVyBXfzBUn[ehT0Px3KOsy9(chr(2030 - 1982) + '\157' + chr(0b110010), 8)]]) else: (Dx_DllZ8uCko, jI0E6zso5mLP) = (eUZVyBXfzBUn[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', 8)], [eUZVyBXfzBUn[ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(49), 8)]]) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xaf\x14\x9d\xf20M'), chr(6407 - 6307) + chr(101) + chr(0b10111 + 0o114) + chr(0b1101111) + chr(0b10101 + 0o117) + '\145')('\165' + '\164' + chr(0b10110 + 0o120) + '\x2d' + chr(0b1101 + 0o53))) == xafqLlk3kkUe(SXOLrMavuUCe(b'!\x976'), chr(100) + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(101))('\165' + '\x74' + chr(102) + chr(0b1101 + 0o40) + chr(0b111000)): Dx_DllZ8uCko = TFxWKtvJC3ep.swapaxes(Dx_DllZ8uCko, dim1=ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8), dim2=ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(49), 8)) return (Dx_DllZ8uCko, jI0E6zso5mLP)
apache/incubator-mxnet	ci/docker/qemu/vmcontrol.py	wait_ssh_open	def wait_ssh_open(server, port, keep_waiting=None, timeout=None): """ Wait for network service to appear @param server: host to connect to (str) @param port: port (int) @param timeout: in seconds, if None or 0 wait forever @return: True of False, if timeout is None may return only True or throw unhandled network exception """ import socket import errno import time log = logging.getLogger('wait_ssh_open') sleep_s = 1 if timeout: from time import time as now # time module is needed to calc timeout shared between two exceptions end = now() + timeout while True: log.debug("Sleeping for %s second(s)", sleep_s) time.sleep(sleep_s) s = socket.socket() try: if keep_waiting and not keep_waiting(): log.debug("keep_waiting() is set and evaluates to False") return False if timeout: next_timeout = end - now() if next_timeout < 0: log.debug("connect time out") return False else: log.debug("connect timeout %d s", next_timeout) s.settimeout(next_timeout) log.debug("connect %s:%d", server, port) s.connect((server, port)) ret = s.recv(1024).decode() if ret and ret.startswith('SSH'): s.close() log.info("wait_ssh_open: port %s:%s is open and ssh is ready", server, port) return True else: log.debug("Didn't get the SSH banner") s.close() except ConnectionError as err: log.debug("ConnectionError %s", err) if sleep_s == 0: sleep_s = 1 else: sleep_s *= 2 except socket.gaierror as err: log.debug("gaierror %s",err) return False except socket.timeout as err: # this exception occurs only if timeout is set if timeout: return False except TimeoutError as err: # catch timeout exception from underlying network library # this one is different from socket.timeout raise	python	def wait_ssh_open(server, port, keep_waiting=None, timeout=None): """ Wait for network service to appear @param server: host to connect to (str) @param port: port (int) @param timeout: in seconds, if None or 0 wait forever @return: True of False, if timeout is None may return only True or throw unhandled network exception """ import socket import errno import time log = logging.getLogger('wait_ssh_open') sleep_s = 1 if timeout: from time import time as now # time module is needed to calc timeout shared between two exceptions end = now() + timeout while True: log.debug("Sleeping for %s second(s)", sleep_s) time.sleep(sleep_s) s = socket.socket() try: if keep_waiting and not keep_waiting(): log.debug("keep_waiting() is set and evaluates to False") return False if timeout: next_timeout = end - now() if next_timeout < 0: log.debug("connect time out") return False else: log.debug("connect timeout %d s", next_timeout) s.settimeout(next_timeout) log.debug("connect %s:%d", server, port) s.connect((server, port)) ret = s.recv(1024).decode() if ret and ret.startswith('SSH'): s.close() log.info("wait_ssh_open: port %s:%s is open and ssh is ready", server, port) return True else: log.debug("Didn't get the SSH banner") s.close() except ConnectionError as err: log.debug("ConnectionError %s", err) if sleep_s == 0: sleep_s = 1 else: sleep_s *= 2 except socket.gaierror as err: log.debug("gaierror %s",err) return False except socket.timeout as err: # this exception occurs only if timeout is set if timeout: return False except TimeoutError as err: # catch timeout exception from underlying network library # this one is different from socket.timeout raise	[ "def", "wait_ssh_open", "(", "server", ",", "port", ",", "keep_waiting", "=", "None", ",", "timeout", "=", "None", ")", ":", "import", "socket", "import", "errno", "import", "time", "log", "=", "logging", ".", "getLogger", "(", "'wait_ssh_open'", ")", "sleep_s", "=", "1", "if", "timeout", ":", "from", "time", "import", "time", "as", "now", "# time module is needed to calc timeout shared between two exceptions", "end", "=", "now", "(", ")", "+", "timeout", "while", "True", ":", "log", ".", "debug", "(", "\"Sleeping for %s second(s)\"", ",", "sleep_s", ")", "time", ".", "sleep", "(", "sleep_s", ")", "s", "=", "socket", ".", "socket", "(", ")", "try", ":", "if", "keep_waiting", "and", "not", "keep_waiting", "(", ")", ":", "log", ".", "debug", "(", "\"keep_waiting() is set and evaluates to False\"", ")", "return", "False", "if", "timeout", ":", "next_timeout", "=", "end", "-", "now", "(", ")", "if", "next_timeout", "<", "0", ":", "log", ".", "debug", "(", "\"connect time out\"", ")", "return", "False", "else", ":", "log", ".", "debug", "(", "\"connect timeout %d s\"", ",", "next_timeout", ")", "s", ".", "settimeout", "(", "next_timeout", ")", "log", ".", "debug", "(", "\"connect %s:%d\"", ",", "server", ",", "port", ")", "s", ".", "connect", "(", "(", "server", ",", "port", ")", ")", "ret", "=", "s", ".", "recv", "(", "1024", ")", ".", "decode", "(", ")", "if", "ret", "and", "ret", ".", "startswith", "(", "'SSH'", ")", ":", "s", ".", "close", "(", ")", "log", ".", "info", "(", "\"wait_ssh_open: port %s:%s is open and ssh is ready\"", ",", "server", ",", "port", ")", "return", "True", "else", ":", "log", ".", "debug", "(", "\"Didn't get the SSH banner\"", ")", "s", ".", "close", "(", ")", "except", "ConnectionError", "as", "err", ":", "log", ".", "debug", "(", "\"ConnectionError %s\"", ",", "err", ")", "if", "sleep_s", "==", "0", ":", "sleep_s", "=", "1", "else", ":", "sleep_s", "*=", "2", "except", "socket", ".", "gaierror", "as", "err", ":", "log", ".", "debug", "(", "\"gaierror %s\"", ",", "err", ")", "return", "False", "except", "socket", ".", "timeout", "as", "err", ":", "# this exception occurs only if timeout is set", "if", "timeout", ":", "return", "False", "except", "TimeoutError", "as", "err", ":", "# catch timeout exception from underlying network library", "# this one is different from socket.timeout", "raise" ]	Wait for network service to appear @param server: host to connect to (str) @param port: port (int) @param timeout: in seconds, if None or 0 wait forever @return: True of False, if timeout is None may return only True or throw unhandled network exception	[ "Wait", "for", "network", "service", "to", "appear" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker/qemu/vmcontrol.py#L236-L302	train	Wait for SSH connection to appear in a network service.	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(0b101 + 0o55) + '\x31' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1024 - 976) + chr(0b1101111) + chr(0b10101 + 0o36) + chr(2394 - 2345) + chr(0b110000 + 0o6), 0o10), ehT0Px3KOsy9(chr(102 - 54) + chr(0b1100011 + 0o14) + chr(0b110001) + '\x36' + chr(54), 0b1000), ehT0Px3KOsy9(chr(2122 - 2074) + chr(0b1101111) + '\x32' + chr(783 - 728) + chr(1888 - 1836), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x35' + chr(1414 - 1363), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(55) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(2387 - 2336) + '\066' + '\x32', 20473 - 20465), ehT0Px3KOsy9(chr(0b110000) + chr(7196 - 7085) + chr(0b110001) + chr(0b100100 + 0o22) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101 + 0o54) + chr(0b110010) + '\062', 41656 - 41648), ehT0Px3KOsy9('\060' + chr(8536 - 8425) + '\x33' + chr(1415 - 1366) + chr(150 - 98), 43569 - 43561), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + chr(2409 - 2358) + chr(1493 - 1445) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(50) + chr(0b10111 + 0o32), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10010 + 0o40) + '\x33' + chr(0b11110 + 0o22), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100110 + 0o14) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\061' + chr(0b1 + 0o66), 57286 - 57278), ehT0Px3KOsy9(chr(0b110000) + chr(3196 - 3085) + chr(495 - 444) + chr(0b110100) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(1872 - 1821) + chr(0b110011) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8000 - 7889) + '\061' + chr(0b11 + 0o61) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b110100) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + chr(0b11011 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\x30', 15254 - 15246), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\066' + chr(2474 - 2420), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b100111 + 0o20) + '\062', 64378 - 64370), ehT0Px3KOsy9(chr(48) + chr(3625 - 3514) + '\063' + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(177 - 129) + chr(1465 - 1354) + chr(50) + '\067' + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + chr(0b110010) + '\065' + '\065', 57091 - 57083), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(363 - 312) + chr(1997 - 1949) + '\064', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(52) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(2396 - 2344), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1010 + 0o50) + chr(0b101011 + 0o6) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2707 - 2653) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4114 - 4003) + chr(2006 - 1952) + chr(50), 8), ehT0Px3KOsy9(chr(2089 - 2041) + '\x6f' + chr(49) + chr(948 - 897) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100111 + 0o14) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1170 - 1122) + '\x6f' + chr(0b1111 + 0o42) + chr(0b110000) + chr(0b101100 + 0o13), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + chr(1552 - 1499) + chr(603 - 555), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(100) + chr(0b101 + 0o140) + chr(6373 - 6274) + '\x6f' + chr(6938 - 6838) + chr(101))(chr(9749 - 9632) + chr(0b1110100 + 0o0) + chr(0b1100110) + '\x2d' + chr(0b101100 + 0o14)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def fUMxeEDHEFbf(Ut41WBgpnv2R, TQTTatUIBQ8y, jLUioGH9VD0D=None, FaIjqlnzCXev=None): (fRlZC0rbxjvV,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xa1\x15\xd7\xce\x0f'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b110 + 0o137))(chr(117) + chr(0b110001 + 0o103) + chr(2139 - 2037) + '\x2d' + '\070')),) (lKz5VhncMjGe,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xbc\x04\xd2\xc4'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(0b101101 + 0o110) + chr(4035 - 3919) + chr(0b1100110 + 0o0) + chr(0b10001 + 0o34) + chr(0b111000))),) (ltvhPP4VhXre,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xa7\x1b\xd9'), chr(4121 - 4021) + chr(7305 - 7204) + chr(7407 - 7308) + chr(111) + chr(0b101110 + 0o66) + chr(8598 - 8497))(chr(117) + chr(8949 - 8833) + '\146' + '\x2d' + '\070')),) WHAFymdp8Jcy = UeotCCWOPSQS.getLogger(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xaf\x1f\xc8\xf4\x08\x81\x18g=\xbcW\xaf'), chr(100) + '\145' + chr(0b1100011) + chr(0b10001 + 0o136) + chr(9773 - 9673) + '\145')('\165' + '\164' + chr(102) + chr(1940 - 1895) + chr(56))) pA4FYj9UpDN6 = ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b110 + 0o53), ord("\x08")) if FaIjqlnzCXev: (a5iq6oQ5y3rG,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xa7\x1b\xd9'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(2494 - 2383) + chr(100) + chr(101))('\165' + '\x74' + chr(102) + chr(1015 - 970) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xa7\x1b\xd9'), chr(5892 - 5792) + '\x65' + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(117) + '\x74' + chr(1366 - 1264) + chr(0b101101) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xa7\x1b\xd9'), chr(100) + '\145' + '\x63' + chr(0b1100011 + 0o14) + chr(0b1100100) + chr(0b1010111 + 0o16))('\165' + '\x74' + chr(102) + chr(0b101101) + '\x38')),) whWDZq5_lP01 = a5iq6oQ5y3rG() + FaIjqlnzCXev while ehT0Px3KOsy9(chr(1299 - 1251) + chr(111) + '\061', 8): xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xab\x14\xc9\xcc'), chr(0b101010 + 0o72) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(117) + chr(116) + chr(0b111100 + 0o52) + chr(448 - 403) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xa2\x13\xd9\xdb\x12\x9c\x17\x184\xa3@\xe1\xf4\x8d$\xebq,\x8a\xb0\x03\x0bQ\x01'), chr(6213 - 6113) + chr(101) + '\x63' + '\157' + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(102) + '\055' + '\070'), pA4FYj9UpDN6) xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xa2\x13\xd9\xdb'), chr(2692 - 2592) + '\x65' + chr(0b10 + 0o141) + chr(0b1001100 + 0o43) + chr(0b10100 + 0o120) + chr(0b1001000 + 0o35))('\x75' + chr(0b111 + 0o155) + '\x66' + '\055' + chr(56)))(pA4FYj9UpDN6) vGrByMSYMp9h = fRlZC0rbxjvV.socket() try: if jLUioGH9VD0D and (not jLUioGH9VD0D()): xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xab\x14\xc9\xcc'), chr(6582 - 6482) + chr(7319 - 7218) + chr(99) + chr(0b1101111) + chr(0b1100 + 0o130) + '\145')(chr(117) + chr(0b100100 + 0o120) + chr(191 - 89) + chr(471 - 426) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xab\x13\xcc\xf4\x0c\x93\x19L;\xa2U\xe9\xf8\xdem\xeb4<\x80\xaaGBLLV\x1f\x95\xd8\xc1\xb1@li\xf8\x16F79\x01\xea\xa2\x05\xd9'), chr(0b110 + 0o136) + '\145' + chr(8174 - 8075) + chr(111) + '\144' + chr(7802 - 7701))(chr(117) + chr(1710 - 1594) + chr(0b11 + 0o143) + chr(45) + '\070')) return ehT0Px3KOsy9(chr(0b110000) + chr(481 - 370) + chr(48), 0o10) if FaIjqlnzCXev: CnXyw2sTNTSH = whWDZq5_lP01 - a5iq6oQ5y3rG() if CnXyw2sTNTSH < ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\060', 8): xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xab\x14\xc9\xcc'), chr(0b1010100 + 0o20) + chr(0b11011 + 0o112) + chr(99) + '\x6f' + chr(2322 - 2222) + chr(0b10100 + 0o121))(chr(117) + '\x74' + chr(0b101010 + 0o74) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xa1\x18\xd2\xce\x18\x86PL;\xa1W\xe1\xbe\x8bp'), chr(0b1100100) + chr(0b1100101) + chr(2740 - 2641) + '\x6f' + chr(0b11011 + 0o111) + chr(8280 - 8179))('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(0b100101 + 0o23))) return ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(3650 - 3539) + chr(0b110000), 8) else: xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xab\x14\xc9\xcc'), '\x64' + chr(101) + chr(3358 - 3259) + chr(0b1011100 + 0o23) + chr(100) + chr(101))(chr(12839 - 12722) + chr(116) + chr(0b111000 + 0o56) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xa1\x18\xd2\xce\x18\x86PL;\xa1W\xae\xa4\x8a$\xbdpo\x96'), chr(6245 - 6145) + chr(0b11110 + 0o107) + '\x63' + chr(0b1101111) + chr(100) + chr(0b110100 + 0o61))(chr(117) + '\164' + chr(0b1100110) + chr(0b11101 + 0o20) + chr(0b101001 + 0o17)), CnXyw2sTNTSH) xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xab\x02\xc8\xc2\x16\x97\x1fM&'), chr(6583 - 6483) + chr(0b110000 + 0o65) + '\x63' + '\157' + chr(0b10 + 0o142) + chr(9128 - 9027))('\x75' + chr(0b1110100) + chr(1825 - 1723) + '\055' + chr(0b101011 + 0o15)))(CnXyw2sTNTSH) xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xab\x14\xc9\xcc'), chr(5717 - 5617) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(0b111011 + 0o52))('\165' + chr(116) + chr(0b1000 + 0o136) + chr(45) + chr(2313 - 2257)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xa1\x18\xd2\xce\x18\x86P\x1d!\xf6\x17\xa5'), '\144' + chr(0b1000001 + 0o44) + '\143' + chr(0b1101111) + chr(0b11010 + 0o112) + chr(0b1100101))(chr(0b110110 + 0o77) + chr(747 - 631) + chr(102) + chr(45 - 0) + '\070'), Ut41WBgpnv2R, TQTTatUIBQ8y) xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xa1\x18\xd2\xce\x18\x86'), chr(0b1100100) + '\145' + chr(0b111010 + 0o51) + chr(0b110011 + 0o74) + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\146' + '\x2d' + chr(2236 - 2180)))((Ut41WBgpnv2R, TQTTatUIBQ8y)) VHn4CV4Ymrei = vGrByMSYMp9h.recv(ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2263 - 2213) + chr(48) + '\x30' + '\060', 0o10)).decode() if VHn4CV4Ymrei and xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xba\x17\xce\xdf\x08\x85\x19L:'), chr(4585 - 4485) + chr(0b1100101) + chr(0b101 + 0o136) + chr(0b1101111) + chr(100) + chr(0b1001000 + 0o35))(chr(0b1011100 + 0o31) + chr(0b1110100) + chr(0b110001 + 0o65) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x9d>'), '\144' + '\x65' + chr(7065 - 6966) + chr(0b1100011 + 0o14) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + chr(0b1011 + 0o133) + chr(45) + chr(0b100001 + 0o27))): xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xa2\x19\xcf\xce'), chr(100) + chr(0b1100101) + chr(7394 - 7295) + chr(111) + '\144' + chr(101))(chr(117) + chr(0b11101 + 0o127) + '\x66' + chr(45) + chr(56)))() xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xf9>\xc4\xde\x18\x95GR>\x96Y'), chr(0b11011 + 0o111) + '\145' + chr(135 - 36) + chr(9126 - 9015) + chr(6121 - 6021) + chr(2665 - 2564))(chr(0b1110101) + '\164' + '\146' + '\055' + chr(0b1011 + 0o55)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xaf\x1f\xc8\xf4\x08\x81\x18g=\xbcW\xaf\xeb\xdet\xf7f;\xc5\xfb\x14\x19\x07[V\x13\x90\x99\xc2\xb4Dv,\xeaXVxj4\xe3\xee\x1f\xcf\x8b\t\x97\x11\\+'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(10194 - 10083) + '\x64' + chr(101))(chr(12910 - 12793) + chr(4107 - 3991) + chr(10010 - 9908) + chr(1515 - 1470) + chr(0b111000)), Ut41WBgpnv2R, TQTTatUIBQ8y) return ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8) else: xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xab\x14\xc9\xcc'), '\x64' + chr(4073 - 3972) + chr(5334 - 5235) + chr(111) + chr(100) + chr(6440 - 6339))(chr(0b1110101) + chr(0b110010 + 0o102) + chr(102) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xa7\x12\xd2\x8c\x0f\xd2\x17]&\xecF\xa9\xb4\xdeW\xcb\\o\x87\xbf\tMGZ'), chr(3687 - 3587) + '\145' + chr(6088 - 5989) + '\x6f' + '\144' + chr(6065 - 5964))(chr(0b10011 + 0o142) + '\164' + chr(0b1100110) + chr(45) + chr(0b101111 + 0o11))) xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xa2\x19\xcf\xce'), chr(0b1100100) + chr(6695 - 6594) + chr(2273 - 2174) + chr(0b1000100 + 0o53) + chr(1227 - 1127) + '\x65')('\x75' + '\x74' + '\x66' + chr(0b101100 + 0o1) + chr(0b111000)))() except gu1MSKhYvigU as n8HlHl2rqNTp: xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xab\x14\xc9\xcc'), chr(0b101001 + 0o73) + chr(0b1000001 + 0o44) + chr(0b10110 + 0o115) + '\157' + '\x64' + '\x65')(chr(117) + chr(0b1110100) + '\x66' + '\055' + chr(1992 - 1936)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xa1\x18\xd2\xce\x18\x86\x19W<\x89@\xb3\xbe\x8c$\xbdg'), '\144' + chr(0b1100101) + '\143' + chr(0b111110 + 0o61) + chr(2840 - 2740) + chr(0b1100101))(chr(0b111001 + 0o74) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)), n8HlHl2rqNTp) if pA4FYj9UpDN6 == ehT0Px3KOsy9('\060' + chr(11214 - 11103) + '\x30', 8): pA4FYj9UpDN6 = ehT0Px3KOsy9(chr(1807 - 1759) + chr(3888 - 3777) + '\061', 8) else: pA4FYj9UpDN6 *= ehT0Px3KOsy9(chr(2267 - 2219) + chr(0b1000110 + 0o51) + chr(0b110010), 0b1000) except xafqLlk3kkUe(fRlZC0rbxjvV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xaf\x1f\xd9\xd9\t\x9d\x02'), '\x64' + '\145' + '\x63' + chr(300 - 189) + chr(100) + '\x65')(chr(117) + chr(0b1110100) + '\x66' + chr(0b100011 + 0o12) + chr(0b111000))) as n8HlHl2rqNTp: xafqLlk3kkUe(WHAFymdp8Jcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xab\x14\xc9\xcc'), chr(7203 - 7103) + '\x65' + chr(0b101111 + 0o64) + chr(0b101 + 0o152) + chr(9305 - 9205) + chr(3839 - 3738))('\165' + '\x74' + '\x66' + '\055' + chr(2641 - 2585)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xaf\x1f\xd9\xd9\t\x9d\x02\x18w\xbf'), '\144' + chr(101) + chr(99) + chr(111) + chr(7112 - 7012) + '\x65')(chr(5355 - 5238) + '\x74' + chr(0b101010 + 0o74) + chr(0b101101) + '\070'), n8HlHl2rqNTp) return ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8) except xafqLlk3kkUe(fRlZC0rbxjvV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xa7\x1b\xd9\xc4\x0e\x86'), chr(100) + chr(5269 - 5168) + chr(3261 - 3162) + chr(0b1101010 + 0o5) + '\144' + chr(101))(chr(0b1110101) + chr(7634 - 7518) + '\146' + chr(45) + '\x38')) as n8HlHl2rqNTp: if FaIjqlnzCXev: return ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(5198 - 5087) + chr(2057 - 2009), 8) except NL8dtWOpbcjF as n8HlHl2rqNTp: raise
apache/incubator-mxnet	ci/docker/qemu/vmcontrol.py	wait_port_open	def wait_port_open(server, port, timeout=None): """ Wait for network service to appear @param server: host to connect to (str) @param port: port (int) @param timeout: in seconds, if None or 0 wait forever @return: True of False, if timeout is None may return only True or throw unhandled network exception """ import socket import errno import time sleep_s = 0 if timeout: from time import time as now # time module is needed to calc timeout shared between two exceptions end = now() + timeout while True: logging.debug("Sleeping for %s second(s)", sleep_s) time.sleep(sleep_s) s = socket.socket() try: if timeout: next_timeout = end - now() if next_timeout < 0: return False else: s.settimeout(next_timeout) logging.info("connect %s %d", server, port) s.connect((server, port)) except ConnectionError as err: logging.debug("ConnectionError %s", err) if sleep_s == 0: sleep_s = 1 except socket.gaierror as err: logging.debug("gaierror %s",err) return False except socket.timeout as err: # this exception occurs only if timeout is set if timeout: return False except TimeoutError as err: # catch timeout exception from underlying network library # this one is different from socket.timeout raise else: s.close() logging.info("wait_port_open: port %s:%s is open", server, port) return True	python	def wait_port_open(server, port, timeout=None): """ Wait for network service to appear @param server: host to connect to (str) @param port: port (int) @param timeout: in seconds, if None or 0 wait forever @return: True of False, if timeout is None may return only True or throw unhandled network exception """ import socket import errno import time sleep_s = 0 if timeout: from time import time as now # time module is needed to calc timeout shared between two exceptions end = now() + timeout while True: logging.debug("Sleeping for %s second(s)", sleep_s) time.sleep(sleep_s) s = socket.socket() try: if timeout: next_timeout = end - now() if next_timeout < 0: return False else: s.settimeout(next_timeout) logging.info("connect %s %d", server, port) s.connect((server, port)) except ConnectionError as err: logging.debug("ConnectionError %s", err) if sleep_s == 0: sleep_s = 1 except socket.gaierror as err: logging.debug("gaierror %s",err) return False except socket.timeout as err: # this exception occurs only if timeout is set if timeout: return False except TimeoutError as err: # catch timeout exception from underlying network library # this one is different from socket.timeout raise else: s.close() logging.info("wait_port_open: port %s:%s is open", server, port) return True	[ "def", "wait_port_open", "(", "server", ",", "port", ",", "timeout", "=", "None", ")", ":", "import", "socket", "import", "errno", "import", "time", "sleep_s", "=", "0", "if", "timeout", ":", "from", "time", "import", "time", "as", "now", "# time module is needed to calc timeout shared between two exceptions", "end", "=", "now", "(", ")", "+", "timeout", "while", "True", ":", "logging", ".", "debug", "(", "\"Sleeping for %s second(s)\"", ",", "sleep_s", ")", "time", ".", "sleep", "(", "sleep_s", ")", "s", "=", "socket", ".", "socket", "(", ")", "try", ":", "if", "timeout", ":", "next_timeout", "=", "end", "-", "now", "(", ")", "if", "next_timeout", "<", "0", ":", "return", "False", "else", ":", "s", ".", "settimeout", "(", "next_timeout", ")", "logging", ".", "info", "(", "\"connect %s %d\"", ",", "server", ",", "port", ")", "s", ".", "connect", "(", "(", "server", ",", "port", ")", ")", "except", "ConnectionError", "as", "err", ":", "logging", ".", "debug", "(", "\"ConnectionError %s\"", ",", "err", ")", "if", "sleep_s", "==", "0", ":", "sleep_s", "=", "1", "except", "socket", ".", "gaierror", "as", "err", ":", "logging", ".", "debug", "(", "\"gaierror %s\"", ",", "err", ")", "return", "False", "except", "socket", ".", "timeout", "as", "err", ":", "# this exception occurs only if timeout is set", "if", "timeout", ":", "return", "False", "except", "TimeoutError", "as", "err", ":", "# catch timeout exception from underlying network library", "# this one is different from socket.timeout", "raise", "else", ":", "s", ".", "close", "(", ")", "logging", ".", "info", "(", "\"wait_port_open: port %s:%s is open\"", ",", "server", ",", "port", ")", "return", "True" ]	Wait for network service to appear @param server: host to connect to (str) @param port: port (int) @param timeout: in seconds, if None or 0 wait forever @return: True of False, if timeout is None may return only True or throw unhandled network exception	[ "Wait", "for", "network", "service", "to", "appear" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/ci/docker/qemu/vmcontrol.py#L305-L359	train	Wait for a network service to appear AttributeNames.	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(0b110011) + '\063' + chr(2537 - 2484), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1 + 0o61) + chr(0b110101) + chr(0b110101), 57755 - 57747), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(8947 - 8836) + '\062' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6508 - 6397) + chr(113 - 59) + chr(55), 48079 - 48071), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o51) + chr(1727 - 1677), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b100100 + 0o16) + '\066' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2301 - 2251) + '\063' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1050 - 1000) + '\067' + chr(0b100000 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(50) + chr(2654 - 2600), 23141 - 23133), ehT0Px3KOsy9('\060' + chr(111) + chr(354 - 300) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x36' + chr(0b110 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(7031 - 6920) + chr(0b100111 + 0o12) + chr(51) + chr(0b101010 + 0o12), 52619 - 52611), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101011 + 0o7) + '\x30' + chr(255 - 202), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + '\063' + '\061' + chr(0b10001 + 0o40), 29393 - 29385), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(856 - 801) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + chr(55), 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\x32' + chr(0b11100 + 0o24) + chr(0b11 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b11010 + 0o125) + chr(0b110001) + chr(48) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b11011 + 0o26) + chr(206 - 152), 0o10), ehT0Px3KOsy9('\x30' + chr(11924 - 11813) + '\x33' + chr(1653 - 1600) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5026 - 4915) + chr(1404 - 1354) + chr(0b10011 + 0o36) + chr(0b0 + 0o61), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(2210 - 2162) + chr(536 - 482), 2104 - 2096), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\x31' + chr(0b110001) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(55) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(50) + '\062' + chr(111 - 62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(8402 - 8291) + chr(51) + chr(51) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + chr(2565 - 2510), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1037 - 986) + chr(0b110100) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3029 - 2918) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b110011) + chr(0b110100) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(52) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(0b110010 + 0o1) + '\x35' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2407 - 2353) + chr(0b100001 + 0o20), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(1738 - 1687) + chr(53), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2356 - 2305) + chr(0b1 + 0o63) + chr(2808 - 2753), 8), ehT0Px3KOsy9(chr(0b110000) + chr(11126 - 11015) + '\x31' + chr(336 - 283) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b100 + 0o61) + '\062', 34304 - 34296)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3'), chr(0b1101 + 0o127) + '\x65' + chr(1600 - 1501) + chr(0b1101111) + '\x64' + chr(3962 - 3861))(chr(117) + chr(116) + chr(824 - 722) + chr(45) + chr(0b10100 + 0o44)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def hNRAsvLKQc06(Ut41WBgpnv2R, TQTTatUIBQ8y, FaIjqlnzCXev=None): (fRlZC0rbxjvV,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xc2r\\O\xc7'), '\144' + '\145' + chr(0b1100011) + chr(8988 - 8877) + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(0b1 + 0o145) + chr(1768 - 1723) + chr(56))),) (lKz5VhncMjGe,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xdfcYE'), '\x64' + chr(0b1100101) + chr(99) + chr(6021 - 5910) + chr(621 - 521) + chr(101))(chr(0b1110 + 0o147) + chr(1671 - 1555) + chr(0b111100 + 0o52) + chr(45) + chr(1174 - 1118))),) (ltvhPP4VhXre,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xc4\|R'), chr(0b11010 + 0o112) + '\x65' + chr(0b11010 + 0o111) + chr(5412 - 5301) + '\x64' + chr(0b1100101))(chr(0b100010 + 0o123) + '\164' + chr(9677 - 9575) + chr(1848 - 1803) + '\070')),) pA4FYj9UpDN6 = ehT0Px3KOsy9('\x30' + '\x6f' + chr(48), 0b1000) if FaIjqlnzCXev: (a5iq6oQ5y3rG,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xc4\|R'), chr(3950 - 3850) + '\145' + '\143' + '\x6f' + '\144' + chr(101))(chr(13441 - 13324) + chr(0b110100 + 0o100) + chr(0b1100110) + chr(1637 - 1592) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xc4\|R'), '\x64' + chr(5883 - 5782) + chr(8509 - 8410) + chr(0b1101111) + chr(8581 - 8481) + '\145')(chr(0b111001 + 0o74) + '\x74' + chr(8341 - 8239) + chr(0b101101) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xc4\|R'), chr(0b1100100) + chr(814 - 713) + '\143' + chr(111) + chr(0b101001 + 0o73) + '\x65')('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b1011 + 0o55))),) whWDZq5_lP01 = a5iq6oQ5y3rG() + FaIjqlnzCXev while ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b111011 + 0o64) + chr(1750 - 1701), 0b1000): xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xc8sBM'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + '\x64' + chr(4015 - 3914))(chr(606 - 489) + chr(116) + chr(0b1100110) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xc1tRZ\xda\xf7h\x99\xf0^\x84\xeey\xf6\xe9\xcbR\xe2+ \x8c\xa1\xb5d'), chr(0b110010 + 0o62) + '\145' + chr(99) + chr(1212 - 1101) + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000)), pA4FYj9UpDN6) xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xc1tRZ'), chr(100) + chr(101) + chr(3673 - 3574) + chr(1262 - 1151) + chr(0b101001 + 0o73) + '\x65')('\165' + chr(0b11110 + 0o126) + chr(102) + chr(45) + '\x38'))(pA4FYj9UpDN6) vGrByMSYMp9h = fRlZC0rbxjvV.socket() try: if FaIjqlnzCXev: CnXyw2sTNTSH = whWDZq5_lP01 - a5iq6oQ5y3rG() if CnXyw2sTNTSH < ehT0Px3KOsy9('\060' + '\x6f' + chr(1895 - 1847), 8): return ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(48), 8) else: xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xc8eCC\xde\xfc`\xcc\xe2'), chr(0b1100100) + '\145' + '\x63' + chr(0b111101 + 0o62) + chr(100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(0b111000)))(CnXyw2sTNTSH) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x9aYO_\xd0\xfe8\xd3\xfak\x9d'), chr(100) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(0b111101 + 0o50))('\165' + '\x74' + chr(1420 - 1318) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xc2\x7fYO\xd0\xed/\x9c\xe5\x11\xd3\xaa'), chr(7018 - 6918) + '\x65' + chr(0b1000 + 0o133) + '\157' + chr(2022 - 1922) + '\145')(chr(117) + chr(116) + chr(102) + chr(0b1011 + 0o42) + chr(0b101101 + 0o13)), Ut41WBgpnv2R, TQTTatUIBQ8y) xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xc2\x7fYO\xd0\xed'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\144' + chr(7049 - 6948))(chr(12504 - 12387) + chr(116) + chr(0b1100110) + chr(0b101101) + '\070'))((Ut41WBgpnv2R, TQTTatUIBQ8y)) except gu1MSKhYvigU as n8HlHl2rqNTp: xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xc8sBM'), '\x64' + chr(0b0 + 0o145) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + '\x66' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xc2\x7fYO\xd0\xedf\xd6\xf8t\x84\xbc3\xf7\xe9\x9dD'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(3245 - 3145) + '\145')('\165' + chr(0b1110100) + chr(0b1000001 + 0o45) + chr(1497 - 1452) + '\x38'), n8HlHl2rqNTp) if pA4FYj9UpDN6 == ehT0Px3KOsy9(chr(48) + chr(111) + chr(48), 8): pA4FYj9UpDN6 = ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 8) except xafqLlk3kkUe(fRlZC0rbxjvV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xccxRX\xc1\xf6}'), '\144' + chr(0b1100101) + chr(2870 - 2771) + '\x6f' + chr(100) + '\145')(chr(0b1011001 + 0o34) + '\164' + '\x66' + chr(1975 - 1930) + '\x38')) as n8HlHl2rqNTp: xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xc8sBM'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1010001 + 0o36) + chr(100) + '\145')(chr(0b1110101) + chr(116) + '\x66' + chr(45) + chr(487 - 431)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xccxRX\xc1\xf6}\x99\xb3B'), '\x64' + chr(101) + '\x63' + '\x6f' + chr(100) + '\145')(chr(117) + chr(12517 - 12401) + chr(0b1100110) + chr(0b111 + 0o46) + '\070'), n8HlHl2rqNTp) return ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(10882 - 10771) + chr(433 - 385), 8) except xafqLlk3kkUe(fRlZC0rbxjvV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xc4\|RE\xc6\xed'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(0b11011 + 0o132) + chr(0b111101 + 0o67) + chr(1251 - 1149) + chr(1003 - 958) + chr(0b110110 + 0o2))) as n8HlHl2rqNTp: if FaIjqlnzCXev: return ehT0Px3KOsy9(chr(0b110000) + chr(12177 - 12066) + chr(0b110000), 8) except NL8dtWOpbcjF as n8HlHl2rqNTp: raise else: xafqLlk3kkUe(vGrByMSYMp9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xc1~DO'), chr(1050 - 950) + chr(101) + '\143' + chr(0b111001 + 0o66) + chr(4438 - 4338) + chr(101))(chr(0b111010 + 0o73) + '\164' + chr(102) + chr(45) + chr(56)))() xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x9aYO_\xd0\xfe8\xd3\xfak\x9d'), chr(4821 - 4721) + chr(8586 - 8485) + '\143' + '\x6f' + chr(1180 - 1080) + chr(0b1100101))('\165' + chr(11560 - 11444) + '\x66' + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xccxCu\xc3\xf6}\xcd\xc9^\x86\xab2\xbf\xe9\xc8X\xf30n\xcd\xfa\xfchK\xb1F\xab\x1f\x88s\x86M'), chr(3465 - 3365) + chr(0b1010110 + 0o17) + '\143' + '\157' + chr(100) + chr(7998 - 7897))('\165' + '\164' + chr(102) + '\x2d' + chr(56)), Ut41WBgpnv2R, TQTTatUIBQ8y) return ehT0Px3KOsy9('\060' + chr(11786 - 11675) + '\x31', 8)
apache/incubator-mxnet	python/mxnet/visualization.py	print_summary	def print_summary(symbol, shape=None, line_length=120, positions=[.44, .64, .74, 1.]): """Convert symbol for detail information. Parameters ---------- symbol: Symbol Symbol to be visualized. shape: dict A dict of shapes, str->shape (tuple), given input shapes. line_length: int Rotal length of printed lines positions: list Relative or absolute positions of log elements in each line. Returns ------ None Notes ----- If ``mxnet`` is imported, the visualization module can be used in its short-form. For example, if we ``import mxnet`` as follows:: import mxnet this method in visualization module can be used in its short-form as:: mxnet.viz.print_summary(...) """ if not isinstance(symbol, Symbol): raise TypeError("symbol must be Symbol") show_shape = False if shape is not None: show_shape = True interals = symbol.get_internals() _, out_shapes, _ = interals.infer_shape(*shape) if out_shapes is None: raise ValueError("Input shape is incomplete") shape_dict = dict(zip(interals.list_outputs(), out_shapes)) conf = json.loads(symbol.tojson()) nodes = conf["nodes"] heads = set(conf["heads"][0]) if positions[-1] <= 1: positions = [int(line_length p) for p in positions] # header names for the different log elements to_display = ['Layer (type)', 'Output Shape', 'Param #', 'Previous Layer'] def print_row(fields, positions): """Print format row. Parameters ---------- fields: list Information field. positions: list Field length ratio. Returns ------ None """ line = '' for i, field in enumerate(fields): line += str(field) line = line[:positions[i]] line += ' ' * (positions[i] - len(line)) print(line) print('_' * line_length) print_row(to_display, positions) print('=' * line_length) def print_layer_summary(node, out_shape): """print layer information Parameters ---------- node: dict Node information. out_shape: dict Node shape information. Returns ------ Node total parameters. """ op = node["op"] pre_node = [] pre_filter = 0 if op != "null": inputs = node["inputs"] for item in inputs: input_node = nodes[item[0]] input_name = input_node["name"] if input_node["op"] != "null" or item[0] in heads: # add precede pre_node.append(input_name) if show_shape: if input_node["op"] != "null": key = input_name + "_output" else: key = input_name if key in shape_dict: shape = shape_dict[key][1:] pre_filter = pre_filter + int(shape[0]) cur_param = 0 if op == 'Convolution': if "no_bias" in node["attrs"] and node["attrs"]["no_bias"] == 'True': num_group = int(node['attrs'].get('num_group', '1')) cur_param = pre_filter * int(node["attrs"]["num_filter"]) \ // num_group for k in _str2tuple(node["attrs"]["kernel"]): cur_param = int(k) else: num_group = int(node['attrs'].get('num_group', '1')) cur_param = pre_filter int(node["attrs"]["num_filter"]) \ // num_group for k in _str2tuple(node["attrs"]["kernel"]): cur_param = int(k) cur_param += int(node["attrs"]["num_filter"]) elif op == 'FullyConnected': if "no_bias" in node["attrs"] and node["attrs"]["no_bias"] == 'True': cur_param = pre_filter int(node["attrs"]["num_hidden"]) else: cur_param = (pre_filter+1) * int(node["attrs"]["num_hidden"]) elif op == 'BatchNorm': key = node["name"] + "_output" if show_shape: num_filter = shape_dict[key][1] cur_param = int(num_filter) * 2 elif op == 'Embedding': cur_param = int(node["attrs"]['input_dim']) * int(node["attrs"]['output_dim']) if not pre_node: first_connection = '' else: first_connection = pre_node[0] fields = [node['name'] + '(' + op + ')', "x".join([str(x) for x in out_shape]), cur_param, first_connection] print_row(fields, positions) if len(pre_node) > 1: for i in range(1, len(pre_node)): fields = ['', '', '', pre_node[i]] print_row(fields, positions) return cur_param total_params = 0 for i, node in enumerate(nodes): out_shape = [] op = node["op"] if op == "null" and i > 0: continue if op != "null" or i in heads: if show_shape: if op != "null": key = node["name"] + "_output" else: key = node["name"] if key in shape_dict: out_shape = shape_dict[key][1:] total_params += print_layer_summary(nodes[i], out_shape) if i == len(nodes) - 1: print('=' * line_length) else: print('_' * line_length) print("Total params: {params}".format(params=total_params)) print('_' * line_length)	python	def print_summary(symbol, shape=None, line_length=120, positions=[.44, .64, .74, 1.]): """Convert symbol for detail information. Parameters ---------- symbol: Symbol Symbol to be visualized. shape: dict A dict of shapes, str->shape (tuple), given input shapes. line_length: int Rotal length of printed lines positions: list Relative or absolute positions of log elements in each line. Returns ------ None Notes ----- If ``mxnet`` is imported, the visualization module can be used in its short-form. For example, if we ``import mxnet`` as follows:: import mxnet this method in visualization module can be used in its short-form as:: mxnet.viz.print_summary(...) """ if not isinstance(symbol, Symbol): raise TypeError("symbol must be Symbol") show_shape = False if shape is not None: show_shape = True interals = symbol.get_internals() _, out_shapes, _ = interals.infer_shape(*shape) if out_shapes is None: raise ValueError("Input shape is incomplete") shape_dict = dict(zip(interals.list_outputs(), out_shapes)) conf = json.loads(symbol.tojson()) nodes = conf["nodes"] heads = set(conf["heads"][0]) if positions[-1] <= 1: positions = [int(line_length p) for p in positions] # header names for the different log elements to_display = ['Layer (type)', 'Output Shape', 'Param #', 'Previous Layer'] def print_row(fields, positions): """Print format row. Parameters ---------- fields: list Information field. positions: list Field length ratio. Returns ------ None """ line = '' for i, field in enumerate(fields): line += str(field) line = line[:positions[i]] line += ' ' * (positions[i] - len(line)) print(line) print('_' * line_length) print_row(to_display, positions) print('=' * line_length) def print_layer_summary(node, out_shape): """print layer information Parameters ---------- node: dict Node information. out_shape: dict Node shape information. Returns ------ Node total parameters. """ op = node["op"] pre_node = [] pre_filter = 0 if op != "null": inputs = node["inputs"] for item in inputs: input_node = nodes[item[0]] input_name = input_node["name"] if input_node["op"] != "null" or item[0] in heads: # add precede pre_node.append(input_name) if show_shape: if input_node["op"] != "null": key = input_name + "_output" else: key = input_name if key in shape_dict: shape = shape_dict[key][1:] pre_filter = pre_filter + int(shape[0]) cur_param = 0 if op == 'Convolution': if "no_bias" in node["attrs"] and node["attrs"]["no_bias"] == 'True': num_group = int(node['attrs'].get('num_group', '1')) cur_param = pre_filter * int(node["attrs"]["num_filter"]) \ // num_group for k in _str2tuple(node["attrs"]["kernel"]): cur_param = int(k) else: num_group = int(node['attrs'].get('num_group', '1')) cur_param = pre_filter int(node["attrs"]["num_filter"]) \ // num_group for k in _str2tuple(node["attrs"]["kernel"]): cur_param = int(k) cur_param += int(node["attrs"]["num_filter"]) elif op == 'FullyConnected': if "no_bias" in node["attrs"] and node["attrs"]["no_bias"] == 'True': cur_param = pre_filter int(node["attrs"]["num_hidden"]) else: cur_param = (pre_filter+1) * int(node["attrs"]["num_hidden"]) elif op == 'BatchNorm': key = node["name"] + "_output" if show_shape: num_filter = shape_dict[key][1] cur_param = int(num_filter) * 2 elif op == 'Embedding': cur_param = int(node["attrs"]['input_dim']) * int(node["attrs"]['output_dim']) if not pre_node: first_connection = '' else: first_connection = pre_node[0] fields = [node['name'] + '(' + op + ')', "x".join([str(x) for x in out_shape]), cur_param, first_connection] print_row(fields, positions) if len(pre_node) > 1: for i in range(1, len(pre_node)): fields = ['', '', '', pre_node[i]] print_row(fields, positions) return cur_param total_params = 0 for i, node in enumerate(nodes): out_shape = [] op = node["op"] if op == "null" and i > 0: continue if op != "null" or i in heads: if show_shape: if op != "null": key = node["name"] + "_output" else: key = node["name"] if key in shape_dict: out_shape = shape_dict[key][1:] total_params += print_layer_summary(nodes[i], out_shape) if i == len(nodes) - 1: print('=' * line_length) else: print('_' * line_length) print("Total params: {params}".format(params=total_params)) print('_' * line_length)	[ "def", "print_summary", "(", "symbol", ",", "shape", "=", "None", ",", "line_length", "=", "120", ",", "positions", "=", "[", ".44", ",", ".64", ",", ".74", ",", "1.", "]", ")", ":", "if", "not", "isinstance", "(", "symbol", ",", "Symbol", ")", ":", "raise", "TypeError", "(", "\"symbol must be Symbol\"", ")", "show_shape", "=", "False", "if", "shape", "is", "not", "None", ":", "show_shape", "=", "True", "interals", "=", "symbol", ".", "get_internals", "(", ")", "_", ",", "out_shapes", ",", "_", "=", "interals", ".", "infer_shape", "(", "", "", "shape", ")", "if", "out_shapes", "is", "None", ":", "raise", "ValueError", "(", "\"Input shape is incomplete\"", ")", 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"heads", ":", "# add precede", "pre_node", ".", "append", "(", "input_name", ")", "if", "show_shape", ":", "if", "input_node", "[", "\"op\"", "]", "!=", "\"null\"", ":", "key", "=", "input_name", "+", "\"_output\"", "else", ":", "key", "=", "input_name", "if", "key", "in", "shape_dict", ":", "shape", "=", "shape_dict", "[", "key", "]", "[", "1", ":", "]", "pre_filter", "=", "pre_filter", "+", "int", "(", "shape", "[", "0", "]", ")", "cur_param", "=", "0", "if", "op", "==", "'Convolution'", ":", "if", "\"no_bias\"", "in", "node", "[", "\"attrs\"", "]", "and", "node", "[", "\"attrs\"", "]", "[", "\"no_bias\"", "]", "==", "'True'", ":", "num_group", "=", "int", "(", "node", "[", "'attrs'", "]", ".", "get", "(", "'num_group'", ",", "'1'", ")", ")", "cur_param", "=", "pre_filter", "", "int", "(", "node", "[", "\"attrs\"", "]", "[", "\"num_filter\"", "]", ")", "//", "num_group", "for", "k", "in", "_str2tuple", "(", "node", "[", "\"attrs\"", "]", "[", "\"kernel\"", "]", ")", ":", "cur_param", "=", "int", "(", "k", ")", "else", ":", "num_group", "=", "int", "(", "node", "[", "'attrs'", "]", ".", "get", "(", "'num_group'", ",", "'1'", ")", ")", "cur_param", "=", "pre_filter", "", "int", "(", "node", "[", "\"attrs\"", "]", "[", "\"num_filter\"", "]", ")", "//", "num_group", "for", "k", "in", "_str2tuple", "(", "node", "[", "\"attrs\"", "]", "[", "\"kernel\"", "]", ")", ":", "cur_param", "=", "int", "(", "k", ")", "cur_param", "+=", "int", "(", "node", "[", "\"attrs\"", "]", "[", "\"num_filter\"", "]", ")", "elif", "op", "==", "'FullyConnected'", ":", "if", "\"no_bias\"", "in", "node", "[", "\"attrs\"", "]", "and", "node", "[", "\"attrs\"", "]", "[", "\"no_bias\"", "]", "==", "'True'", ":", "cur_param", "=", "pre_filter", "", "int", "(", "node", "[", "\"attrs\"", "]", "[", "\"num_hidden\"", "]", ")", "else", ":", "cur_param", "=", "(", "pre_filter", "+", "1", ")", "", "int", "(", "node", "[", "\"attrs\"", "]", "[", "\"num_hidden\"", "]", ")", "elif", "op", "==", "'BatchNorm'", ":", "key", "=", "node", "[", "\"name\"", "]", "+", "\"_output\"", "if", "show_shape", ":", "num_filter", "=", "shape_dict", "[", "key", "]", "[", "1", "]", "cur_param", "=", "int", "(", "num_filter", ")", "", "2", "elif", "op", "==", "'Embedding'", ":", "cur_param", "=", "int", "(", "node", "[", "\"attrs\"", "]", "[", "'input_dim'", "]", ")", "", "int", "(", "node", "[", "\"attrs\"", "]", "[", "'output_dim'", "]", ")", "if", "not", "pre_node", ":", "first_connection", "=", "''", "else", ":", "first_connection", "=", "pre_node", "[", "0", "]", "fields", "=", "[", "node", "[", "'name'", "]", "+", "'('", "+", "op", "+", "')'", ",", "\"x\"", ".", "join", "(", "[", "str", "(", "x", ")", "for", "x", "in", "out_shape", "]", ")", ",", "cur_param", ",", "first_connection", "]", "print_row", "(", "fields", ",", "positions", ")", "if", "len", "(", "pre_node", ")", ">", "1", ":", "for", "i", "in", "range", "(", "1", ",", "len", "(", "pre_node", ")", ")", ":", "fields", "=", "[", "''", ",", "''", ",", "''", ",", "pre_node", "[", "i", "]", "]", "print_row", "(", "fields", ",", "positions", ")", "return", "cur_param", "total_params", "=", "0", "for", "i", ",", "node", "in", "enumerate", "(", "nodes", ")", ":", "out_shape", "=", "[", "]", "op", "=", "node", "[", "\"op\"", "]", "if", "op", "==", "\"null\"", "and", "i", ">", "0", ":", "continue", "if", "op", "!=", "\"null\"", "or", "i", "in", "heads", ":", "if", "show_shape", ":", "if", "op", "!=", "\"null\"", ":", "key", "=", "node", "[", "\"name\"", "]", "+", "\"_output\"", "else", ":", "key", "=", "node", "[", "\"name\"", "]", "if", "key", "in", "shape_dict", ":", "out_shape", "=", "shape_dict", "[", "key", "]", "[", "1", ":", "]", "total_params", "+=", "print_layer_summary", "(", "nodes", "[", "i", "]", ",", "out_shape", ")", "if", "i", "==", "len", "(", "nodes", ")", "-", "1", ":", "print", "(", "'='", "", "line_length", ")", "else", ":", "print", "(", "'_'", "", "line_length", ")", "print", "(", "\"Total params: {params}\"", ".", "format", "(", "params", "=", "total_params", ")", ")", "print", "(", "'_'", "*", "line_length", ")" ]	Convert symbol for detail information. Parameters ---------- symbol: Symbol Symbol to be visualized. shape: dict A dict of shapes, str->shape (tuple), given input shapes. line_length: int Rotal length of printed lines positions: list Relative or absolute positions of log elements in each line. Returns ------ None Notes ----- If ``mxnet`` is imported, the visualization module can be used in its short-form. For example, if we ``import mxnet`` as follows:: import mxnet this method in visualization module can be used in its short-form as:: mxnet.viz.print_summary(...)	[ "Convert", "symbol", "for", "detail", "information", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/visualization.py#L47-L209	train	Print a summary of the log entries in a single line.	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(0b11000 + 0o30) + chr(7878 - 7767) + chr(0b110001) + chr(0b10001 + 0o41) + chr(0b1101 + 0o50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\062' + '\065' + chr(0b100001 + 0o26), 44655 - 44647), ehT0Px3KOsy9(chr(1286 - 1238) + chr(111) + '\061' + chr(2241 - 2187) + '\062', 25450 - 25442), ehT0Px3KOsy9('\x30' + chr(3302 - 3191) + chr(1954 - 1904) + '\x35' + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\062' + chr(421 - 370) + chr(0b101111 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\065' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(0b10 + 0o65), 0b1000), ehT0Px3KOsy9(chr(1738 - 1690) + '\157' + chr(551 - 502), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b10101 + 0o35) + chr(529 - 479), 0b1000), ehT0Px3KOsy9(chr(457 - 409) + '\x6f' + chr(0b100111 + 0o12) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(6739 - 6628) + '\064' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110100) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11 + 0o57) + '\060' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\061' + '\064' + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110000) + chr(538 - 487), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\063' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x33' + '\064' + chr(0b110011 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o36) + '\065' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1216 - 1167) + '\060' + '\063', 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110010) + '\x30' + '\x34', 33130 - 33122), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10001 + 0o41) + '\066' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11361 - 11250) + chr(0b110010) + chr(0b10001 + 0o41) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11 + 0o60) + chr(48) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(428 - 377) + chr(0b101000 + 0o14) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1878 - 1830) + chr(0b1101111) + '\x32' + '\067' + chr(712 - 659), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\x33' + chr(1998 - 1943), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10101 + 0o35) + '\062' + chr(921 - 866), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b10000 + 0o46) + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9(chr(1810 - 1762) + chr(0b10001 + 0o136) + chr(0b110001) + chr(50) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1001101 + 0o42) + chr(2050 - 1998) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(0b110010) + '\x36' + '\066', 8), ehT0Px3KOsy9(chr(111 - 63) + chr(122 - 11) + chr(0b110001) + '\x37' + chr(0b110110), 46080 - 46072), ehT0Px3KOsy9(chr(922 - 874) + '\x6f' + '\x33' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x37' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + '\062' + chr(0b1111 + 0o50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1684 - 1629) + chr(0b0 + 0o62), 44739 - 44731), ehT0Px3KOsy9(chr(1087 - 1039) + chr(0b1010000 + 0o37) + chr(278 - 228) + '\066' + chr(0b10110 + 0o37), 18726 - 18718)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110101) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'{'), chr(8383 - 8283) + chr(0b100000 + 0o105) + chr(99) + '\157' + chr(0b1100001 + 0o3) + chr(0b1100101))(chr(0b1110101) + chr(0b111010 + 0o72) + chr(102) + chr(1307 - 1262) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Jr1lw0jPUn2x(Usr5ykvL2UZF, nauYfLglTpcb=None, QY9diorj5yYu=ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(49) + chr(0b110111) + chr(0b110000), 0o10), JVHDlleapywT=[0.44, 0.64, 0.74, 1.0]): if not PlSM16l2KDPD(Usr5ykvL2UZF, QHVwKuipVZQE): raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'&\xd6\x1f\xcdN\xf6\xcaBt\xe1y\x02\xc3\xe5C\x10f\x8e\x08,\xe8'), '\x64' + chr(1565 - 1464) + '\x63' + chr(3741 - 3630) + chr(0b1000111 + 0o35) + chr(101))('\x75' + '\x74' + chr(0b10000 + 0o126) + '\x2d' + chr(56))) iSjCO99Dc9pl = ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + chr(965 - 917), 0b1000) if nauYfLglTpcb is not None: iSjCO99Dc9pl = ehT0Px3KOsy9('\060' + '\x6f' + chr(1563 - 1514), 8) FHqN1GISFz8y = Usr5ykvL2UZF.get_internals() (VNGQdHSFPrso, DvOldN0T25Wu, VNGQdHSFPrso) = FHqN1GISFz8y.infer_shape(*nauYfLglTpcb) if DvOldN0T25Wu is None: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xc1\x02\xdaU\xba\x99G`\xe2h\x02\xc8\xf3Cq\x80\x05.\xf4\xda\xf2\xb7f'), '\x64' + chr(0b111111 + 0o46) + chr(0b10 + 0o141) + chr(9472 - 9361) + '\x64' + chr(0b11010 + 0o113))(chr(117) + chr(9708 - 9592) + chr(0b1100110) + chr(0b11110 + 0o17) + chr(56))) RoxCY1QcNwub = wLqBDw8l0eIm(pZ0NK2y6HRbn(FHqN1GISFz8y.list_outputs(), DvOldN0T25Wu)) X8b_zn8Ho3V_ = fXk443epxtd5.loads(Usr5ykvL2UZF.tojson()) kRMNAtqSxSv7 = X8b_zn8Ho3V_[xafqLlk3kkUe(SXOLrMavuUCe(b';\xc0\x16\xcaR'), chr(8329 - 8229) + chr(0b1100101) + chr(0b1001100 + 0o27) + chr(0b1101111) + chr(4992 - 4892) + chr(7392 - 7291))('\165' + '\x74' + '\x66' + '\055' + '\070')] vwTzayUlIOD3 = MVEN8G6CxlvR(X8b_zn8Ho3V_[xafqLlk3kkUe(SXOLrMavuUCe(b'=\xca\x13\xcbR'), chr(8378 - 8278) + chr(0b1100101) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(10464 - 10347) + chr(1649 - 1533) + chr(102) + '\055' + chr(56))][ehT0Px3KOsy9(chr(519 - 471) + chr(0b10101 + 0o132) + chr(0b110000), 8)]) if JVHDlleapywT[-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8)] <= ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10001 + 0o40), 8): JVHDlleapywT = [ehT0Px3KOsy9(QY9diorj5yYu * UyakMW2IMFEj) for UyakMW2IMFEj in JVHDlleapywT] p1pAI0AXHK3f = [xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xce\x0b\xcaS\xba\xc2[x\xe2h\x0b'), chr(0b1100100) + chr(3676 - 3575) + '\x63' + chr(0b1101111) + chr(0b10100 + 0o120) + chr(0b1011010 + 0o13))('\165' + chr(0b1000111 + 0o55) + '\x66' + chr(1415 - 1370) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xda\x06\xdfT\xee\xca\|i\xf3}G'), chr(0b1100100) + '\145' + '\x63' + '\157' + chr(100) + chr(1308 - 1207))('\165' + chr(7154 - 7038) + '\146' + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xce\x00\xceL\xba\xc9'), chr(136 - 36) + chr(3281 - 3180) + chr(0b1000101 + 0o36) + chr(111) + chr(100) + chr(0b100000 + 0o105))(chr(0b1010010 + 0o43) + '\164' + '\146' + chr(0b101011 + 0o2) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xdd\x17\xd9H\xf5\x9f\\!\xdel[\xc4\xf2'), '\144' + chr(7176 - 7075) + chr(8537 - 8438) + chr(0b1000000 + 0o57) + chr(0b1100100 + 0o0) + chr(0b100100 + 0o101))('\x75' + '\x74' + '\146' + chr(387 - 342) + '\x38')] def Z5fs1Ne0CmQQ(_yavFU6VJ0wY, JVHDlleapywT): LycYkDpyelF6 = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + chr(0b1100101) + chr(9128 - 9029) + chr(0b1101111) + chr(0b1100100) + '\145')('\165' + chr(1694 - 1578) + chr(4271 - 4169) + chr(1158 - 1113) + chr(56)) for (WVxHKyX45z_L, fEcfxx4smAdS) in YlkZvXL8qwsX(_yavFU6VJ0wY): LycYkDpyelF6 += M8_cKLkHVB2V(fEcfxx4smAdS) LycYkDpyelF6 = LycYkDpyelF6[:JVHDlleapywT[WVxHKyX45z_L]] LycYkDpyelF6 += xafqLlk3kkUe(SXOLrMavuUCe(b'u'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(2301 - 2201) + '\x65')(chr(0b1000011 + 0o62) + '\x74' + '\146' + chr(743 - 698) + chr(0b111000)) * (JVHDlleapywT[WVxHKyX45z_L] - c2A0yzQpDQB3(LycYkDpyelF6)) zLUzGokYBM2Z(LycYkDpyelF6) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\n'), '\144' + chr(101) + chr(99) + chr(0b110000 + 0o77) + '\x64' + chr(0b1011 + 0o132))('\165' + chr(0b1001011 + 0o51) + '\146' + '\055' + chr(56)) * QY9diorj5yYu) Z5fs1Ne0CmQQ(p1pAI0AXHK3f, JVHDlleapywT) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'h'), '\144' + chr(101) + '\143' + '\x6f' + chr(0b1100100) + '\x65')('\x75' + chr(116) + '\146' + '\055' + chr(1144 - 1088)) * QY9diorj5yYu) def V5eb1YVdmXi4(FDgyextYBrUF, wjefSqyQUekw): C8dAr6Ujq2Tn = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b':\xdf'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1010101 + 0o17) + chr(0b1100101))(chr(0b1100010 + 0o23) + chr(6557 - 6441) + chr(0b1100110) + '\x2d' + chr(56))] RiZLIlzSVftK = [] xHm1SmhCeM4p = ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\x30', 8) if C8dAr6Ujq2Tn != xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1e\xc3'), chr(100) + chr(0b1100101) + chr(4967 - 4868) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + '\146' + chr(0b10000 + 0o35) + chr(0b111000)): vXoupepMtCXU = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'<\xc1\x02\xdaU\xe9'), chr(100) + chr(0b1100101) + '\143' + chr(4622 - 4511) + '\x64' + chr(4805 - 4704))(chr(0b11010 + 0o133) + chr(116) + chr(5909 - 5807) + chr(45) + chr(56))] for N7j7ePTXzzI0 in vXoupepMtCXU: BON7oWI0tu0w = kRMNAtqSxSv7[N7j7ePTXzzI0[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 8)]] T1P2HfUVrGuW = BON7oWI0tu0w[xafqLlk3kkUe(SXOLrMavuUCe(b';\xce\x1f\xca'), chr(0b1001111 + 0o25) + chr(0b1100101) + chr(2959 - 2860) + chr(0b1101111) + '\x64' + '\145')(chr(0b110101 + 0o100) + chr(12265 - 12149) + chr(102) + chr(45) + chr(70 - 14))] if BON7oWI0tu0w[xafqLlk3kkUe(SXOLrMavuUCe(b':\xdf'), chr(4708 - 4608) + chr(101) + chr(99) + chr(8637 - 8526) + chr(0b1010000 + 0o24) + chr(101))(chr(0b101111 + 0o106) + chr(0b111110 + 0o66) + chr(1749 - 1647) + '\055' + chr(0b111000))] != xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1e\xc3'), chr(100) + chr(6430 - 6329) + chr(611 - 512) + chr(0b100111 + 0o110) + '\x64' + chr(0b10110 + 0o117))(chr(117) + '\x74' + chr(2120 - 2018) + chr(0b1 + 0o54) + chr(2984 - 2928)) or N7j7ePTXzzI0[ehT0Px3KOsy9('\060' + chr(8442 - 8331) + '\x30', 8)] in vwTzayUlIOD3: xafqLlk3kkUe(RiZLIlzSVftK, xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdf\x02\xcaO\xfe'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + chr(0b101101 + 0o67) + chr(0b10110 + 0o117))(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(0b1001 + 0o57)))(T1P2HfUVrGuW) if iSjCO99Dc9pl: if BON7oWI0tu0w[xafqLlk3kkUe(SXOLrMavuUCe(b':\xdf'), chr(0b1011 + 0o131) + chr(0b1100101) + chr(5218 - 5119) + chr(0b1000011 + 0o54) + chr(100) + chr(871 - 770))(chr(12540 - 12423) + chr(7784 - 7668) + chr(2815 - 2713) + '\055' + '\070')] != xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1e\xc3'), chr(0b11001 + 0o113) + '\145' + chr(8224 - 8125) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + chr(919 - 874) + chr(56)): K3J4ZwSlE0sT = T1P2HfUVrGuW + xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xc0\x07\xdbQ\xef\x9e'), chr(100) + '\145' + chr(2950 - 2851) + chr(0b0 + 0o157) + chr(0b1100001 + 0o3) + '\145')('\x75' + chr(116) + chr(0b1011111 + 0o7) + '\x2d' + chr(56)) else: K3J4ZwSlE0sT = T1P2HfUVrGuW if K3J4ZwSlE0sT in RoxCY1QcNwub: nauYfLglTpcb = RoxCY1QcNwub[K3J4ZwSlE0sT][ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(49), 8):] xHm1SmhCeM4p = xHm1SmhCeM4p + ehT0Px3KOsy9(nauYfLglTpcb[ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(48), 8)]) Cq7wQ6Wf9UW6 = ehT0Px3KOsy9('\060' + '\157' + '\x30', 8) if C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xc0\x1c\xd9N\xf6\x9f[h\xfdc'), '\x64' + '\145' + '\143' + chr(111) + '\x64' + '\145')(chr(4861 - 4744) + chr(116) + chr(9586 - 9484) + chr(45) + chr(0b111000)): if xafqLlk3kkUe(SXOLrMavuUCe(b';\xc0-\xcdH\xfb\x99'), '\144' + chr(669 - 568) + chr(0b1100011) + chr(0b1000100 + 0o53) + chr(6027 - 5927) + chr(0b1011110 + 0o7))('\x75' + chr(0b1110100) + chr(6408 - 6306) + '\055' + chr(0b100 + 0o64)) in FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), chr(100) + chr(101) + chr(0b110010 + 0o61) + chr(0b1101111) + chr(0b1010110 + 0o16) + chr(101))('\165' + '\x74' + chr(102) + chr(0b111 + 0o46) + '\070')] and FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), chr(4920 - 4820) + '\145' + '\143' + chr(7011 - 6900) + chr(0b1100100) + '\145')(chr(117) + chr(0b110101 + 0o77) + chr(2051 - 1949) + chr(0b101101) + chr(0b111000))][xafqLlk3kkUe(SXOLrMavuUCe(b';\xc0-\xcdH\xfb\x99'), chr(8550 - 8450) + chr(0b1100101) + '\143' + chr(0b100001 + 0o116) + chr(100) + '\145')('\x75' + '\164' + '\x66' + chr(0b100011 + 0o12) + chr(2885 - 2829))] == xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xdd\x07\xca'), '\144' + chr(0b1111 + 0o126) + chr(0b1100011) + chr(111) + '\x64' + '\x65')(chr(117) + '\164' + chr(102) + chr(973 - 928) + chr(604 - 548)): XUutyWCpcYO4 = ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), '\x64' + chr(8585 - 8484) + chr(0b1100011) + chr(111) + chr(100) + chr(9221 - 9120))(chr(205 - 88) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38')].get(xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1f\xf0F\xe8\x85Zq'), '\144' + chr(763 - 662) + chr(99) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'd'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b110 + 0o156) + chr(0b1100110) + '\055' + '\x38'))) Cq7wQ6Wf9UW6 = xHm1SmhCeM4p * ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), chr(0b1001010 + 0o32) + chr(7817 - 7716) + '\143' + chr(7263 - 7152) + chr(6546 - 6446) + chr(101))('\165' + chr(12724 - 12608) + chr(0b100101 + 0o101) + chr(0b101101) + chr(0b10011 + 0o45))][xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1f\xf0G\xf3\x86[d\xe0'), '\144' + chr(101) + '\x63' + '\x6f' + '\144' + chr(882 - 781))(chr(0b11100 + 0o131) + chr(9345 - 9229) + '\x66' + chr(0b10110 + 0o27) + chr(0b111000))]) // XUutyWCpcYO4 for OolUPRJhRaJd in Yc_M0glggNW5(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), '\144' + chr(7188 - 7087) + chr(6661 - 6562) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(45) + chr(1632 - 1576))][xafqLlk3kkUe(SXOLrMavuUCe(b'>\xca\x00\xc1D\xf6'), '\144' + chr(9279 - 9178) + '\143' + '\157' + '\x64' + '\145')(chr(117) + '\164' + '\x66' + chr(45) + '\x38')]): Cq7wQ6Wf9UW6 = ehT0Px3KOsy9(OolUPRJhRaJd) else: XUutyWCpcYO4 = ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + '\144' + '\x65')('\x75' + chr(8879 - 8763) + chr(2965 - 2863) + chr(0b101101) + chr(56))].get(xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1f\xf0F\xe8\x85Zq'), '\144' + chr(101) + chr(0b101011 + 0o70) + chr(2171 - 2060) + chr(0b1000 + 0o134) + '\145')(chr(5437 - 5320) + chr(0b1110100) + chr(0b10100 + 0o122) + '\x2d' + chr(609 - 553)), xafqLlk3kkUe(SXOLrMavuUCe(b'd'), chr(0b1100100) + chr(0b1100 + 0o131) + chr(0b1000 + 0o133) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1010101 + 0o37) + chr(102) + chr(0b101101) + chr(0b10000 + 0o50)))) Cq7wQ6Wf9UW6 = xHm1SmhCeM4p ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), '\144' + chr(101) + '\143' + chr(3782 - 3671) + '\x64' + chr(0b1000110 + 0o37))(chr(1327 - 1210) + '\x74' + chr(0b1100110) + '\x2d' + chr(56))][xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1f\xf0G\xf3\x86[d\xe0'), chr(0b1100100) + '\145' + '\143' + chr(0b10101 + 0o132) + chr(0b1100100) + chr(0b101110 + 0o67))(chr(0b1110101) + '\x74' + chr(102) + chr(45) + '\x38')]) // XUutyWCpcYO4 for OolUPRJhRaJd in Yc_M0glggNW5(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), chr(0b100011 + 0o101) + chr(0b1100101) + '\x63' + chr(12057 - 11946) + chr(295 - 195) + chr(0b1100101))(chr(0b1001010 + 0o53) + chr(12806 - 12690) + chr(0b101111 + 0o67) + chr(0b101101) + '\070')][xafqLlk3kkUe(SXOLrMavuUCe(b'>\xca\x00\xc1D\xf6'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(0b1010001 + 0o24))(chr(0b1110101) + '\x74' + chr(1433 - 1331) + '\055' + chr(421 - 365))]): Cq7wQ6Wf9UW6 = ehT0Px3KOsy9(OolUPRJhRaJd) Cq7wQ6Wf9UW6 += ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), chr(0b11111 + 0o105) + chr(0b1100101) + chr(6452 - 6353) + chr(0b101100 + 0o103) + '\x64' + '\145')(chr(0b11110 + 0o127) + chr(0b1110100) + chr(10278 - 10176) + '\x2d' + chr(0b111000))][xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1f\xf0G\xf3\x86[d\xe0'), '\x64' + chr(5598 - 5497) + chr(99) + chr(0b11110 + 0o121) + chr(100) + '\x65')(chr(117) + chr(0b1100111 + 0o15) + '\146' + '\055' + chr(0b110111 + 0o1))]) elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xda\x1e\xc3X\xd9\x85Ao\xf7nV\xc4\xe4'), chr(7973 - 7873) + chr(101) + chr(0b111011 + 0o50) + chr(0b1101111) + chr(100) + chr(2835 - 2734))(chr(0b1101101 + 0o10) + chr(0b1110100) + chr(102) + chr(0b10111 + 0o26) + '\070'): if xafqLlk3kkUe(SXOLrMavuUCe(b';\xc0-\xcdH\xfb\x99'), chr(100) + chr(9851 - 9750) + chr(0b1010111 + 0o14) + chr(111) + chr(3736 - 3636) + '\x65')('\x75' + '\164' + chr(0b1100110) + '\055' + chr(56)) in FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(100) + chr(101))('\x75' + '\x74' + '\x66' + chr(0b101101) + '\x38')] and FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), '\144' + chr(7258 - 7157) + '\143' + chr(0b1001110 + 0o41) + chr(1233 - 1133) + chr(0b11000 + 0o115))('\x75' + '\164' + chr(0b1011001 + 0o15) + chr(45) + '\070')][xafqLlk3kkUe(SXOLrMavuUCe(b';\xc0-\xcdH\xfb\x99'), '\144' + '\x65' + chr(7129 - 7030) + chr(111) + chr(9653 - 9553) + chr(3935 - 3834))(chr(12679 - 12562) + chr(0b1001001 + 0o53) + chr(102) + '\x2d' + chr(56))] == xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xdd\x07\xca'), chr(8705 - 8605) + chr(101) + chr(9571 - 9472) + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(116) + '\146' + chr(1840 - 1795) + '\070'): Cq7wQ6Wf9UW6 = xHm1SmhCeM4p ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), '\x64' + '\x65' + chr(0b101101 + 0o66) + chr(0b1101111) + '\144' + '\145')(chr(3806 - 3689) + '\x74' + chr(4442 - 4340) + chr(45) + chr(1579 - 1523))][xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1f\xf0I\xf3\x8eKd\xfc'), chr(4271 - 4171) + '\x65' + '\x63' + '\x6f' + chr(100) + '\145')(chr(117) + chr(6236 - 6120) + '\146' + chr(45) + chr(1626 - 1570))]) else: Cq7wQ6Wf9UW6 = (xHm1SmhCeM4p + ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111 + 0o0) + '\061', 8)) * ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b1110 + 0o126) + '\145')(chr(117) + '\164' + '\x66' + '\x2d' + chr(56))][xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1f\xf0I\xf3\x8eKd\xfc'), chr(0b10000 + 0o124) + '\x65' + chr(8827 - 8728) + '\x6f' + '\x64' + chr(6828 - 6727))(chr(0b1110101) + chr(0b111000 + 0o74) + '\146' + '\055' + chr(0b111000))]) elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xce\x06\xccI\xd4\x85]l'), '\144' + chr(3230 - 3129) + chr(6237 - 6138) + '\x6f' + chr(4949 - 4849) + '\x65')(chr(0b1010 + 0o153) + '\x74' + chr(0b111100 + 0o52) + chr(0b10011 + 0o32) + '\x38'): K3J4ZwSlE0sT = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b';\xce\x1f\xca'), chr(0b1100100) + chr(0b1011001 + 0o14) + chr(0b1100011) + chr(10145 - 10034) + '\144' + chr(10026 - 9925))('\x75' + chr(0b1110100) + chr(6172 - 6070) + chr(332 - 287) + '\070')] + xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xc0\x07\xdbQ\xef\x9e'), chr(0b1100100) + chr(3242 - 3141) + '\143' + chr(7409 - 7298) + chr(100) + chr(101))(chr(117) + chr(13272 - 13156) + chr(0b1100010 + 0o4) + chr(0b1100 + 0o41) + chr(56)) if iSjCO99Dc9pl: zuu2irDxJjis = RoxCY1QcNwub[K3J4ZwSlE0sT][ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 8)] Cq7wQ6Wf9UW6 = ehT0Px3KOsy9(zuu2irDxJjis) * ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\x32', 54259 - 54251) elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xc2\x10\xcaE\xfe\x83Af'), chr(0b1010001 + 0o23) + '\145' + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(0b1100001 + 0o24) + chr(9336 - 9220) + '\x66' + chr(0b10100 + 0o31) + '\070'): Cq7wQ6Wf9UW6 = ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), '\144' + '\145' + chr(2103 - 2004) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(102) + chr(1919 - 1874) + chr(0b111000))][xafqLlk3kkUe(SXOLrMavuUCe(b'<\xc1\x02\xdaU\xc5\x8eFl'), '\144' + chr(0b1001101 + 0o30) + '\x63' + chr(0b1001011 + 0o44) + chr(0b1010010 + 0o22) + '\x65')('\x75' + '\164' + chr(102) + '\x2d' + chr(56))]) * ehT0Px3KOsy9(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'4\xdb\x06\xddR'), '\144' + '\145' + chr(5636 - 5537) + chr(0b1101111) + '\x64' + chr(0b1100101 + 0o0))(chr(9684 - 9567) + chr(0b1010 + 0o152) + chr(0b1001001 + 0o35) + '\x2d' + chr(56))][xafqLlk3kkUe(SXOLrMavuUCe(b':\xda\x06\xdfT\xee\xb5Kh\xff'), chr(1863 - 1763) + '\145' + '\143' + '\x6f' + chr(7015 - 6915) + '\145')(chr(3801 - 3684) + '\164' + chr(0b1100110) + '\055' + chr(2553 - 2497))]) if not RiZLIlzSVftK: gTOGQaFb33iB = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + '\x65' + '\143' + chr(0b111111 + 0o60) + chr(0b1010000 + 0o24) + chr(101))('\x75' + chr(116) + '\146' + chr(0b11100 + 0o21) + chr(56)) else: gTOGQaFb33iB = RiZLIlzSVftK[ehT0Px3KOsy9(chr(48) + chr(8137 - 8026) + chr(0b110000), 8)] _yavFU6VJ0wY = [FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b';\xce\x1f\xca'), chr(0b11010 + 0o112) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b10011 + 0o122))('\x75' + chr(116) + chr(8327 - 8225) + '\055' + chr(0b111000))] + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b101011 + 0o71) + '\x65' + '\x63' + chr(111) + '\144' + chr(7643 - 7542))(chr(9129 - 9012) + '\x74' + chr(2132 - 2030) + '\x2d' + chr(56)) + C8dAr6Ujq2Tn + xafqLlk3kkUe(SXOLrMavuUCe(b'\|'), chr(0b11011 + 0o111) + '\x65' + '\x63' + chr(111) + '\x64' + chr(101))('\x75' + chr(116) + '\146' + chr(896 - 851) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'-'), chr(0b1011110 + 0o6) + chr(0b1000001 + 0o44) + chr(0b1100011) + chr(111) + chr(6717 - 6617) + chr(7700 - 7599))(chr(0b1111 + 0o146) + '\164' + chr(4975 - 4873) + chr(1637 - 1592) + chr(0b111000))._oWXztVNnqHF([M8_cKLkHVB2V(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in wjefSqyQUekw]), Cq7wQ6Wf9UW6, gTOGQaFb33iB] Z5fs1Ne0CmQQ(_yavFU6VJ0wY, JVHDlleapywT) if c2A0yzQpDQB3(RiZLIlzSVftK) > ehT0Px3KOsy9('\x30' + chr(1527 - 1416) + chr(49), 8): for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', 8), c2A0yzQpDQB3(RiZLIlzSVftK)): _yavFU6VJ0wY = [xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(4167 - 4066))('\x75' + chr(0b101000 + 0o114) + '\x66' + chr(0b10100 + 0o31) + chr(0b110101 + 0o3)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(9649 - 9549) + chr(0b1100101) + '\x63' + chr(992 - 881) + '\144' + '\145')(chr(117) + chr(0b100010 + 0o122) + chr(0b1100110) + chr(0b101101) + chr(0b101000 + 0o20)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(9661 - 9561) + chr(101) + '\x63' + chr(111) + '\x64' + chr(0b10001 + 0o124))(chr(0b1110101) + chr(6598 - 6482) + chr(0b1011101 + 0o11) + '\x2d' + '\070'), RiZLIlzSVftK[WVxHKyX45z_L]] Z5fs1Ne0CmQQ(_yavFU6VJ0wY, JVHDlleapywT) return Cq7wQ6Wf9UW6 l5NoDRGbvWex = ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(0b1001 + 0o47), 8) for (WVxHKyX45z_L, FDgyextYBrUF) in YlkZvXL8qwsX(kRMNAtqSxSv7): wjefSqyQUekw = [] C8dAr6Ujq2Tn = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b':\xdf'), chr(3213 - 3113) + chr(101) + chr(0b1100011) + chr(0b1 + 0o156) + chr(0b1000111 + 0o35) + '\x65')(chr(117) + chr(116) + chr(102) + chr(0b101101) + chr(0b100101 + 0o23))] if C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1e\xc3'), chr(3737 - 3637) + chr(0b1000 + 0o135) + '\143' + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(0b101001 + 0o4) + chr(0b10000 + 0o50)) and WVxHKyX45z_L > ehT0Px3KOsy9(chr(1511 - 1463) + chr(8230 - 8119) + chr(0b110000), 8): continue if C8dAr6Ujq2Tn != xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1e\xc3'), chr(9297 - 9197) + '\x65' + '\x63' + chr(0b1000001 + 0o56) + '\x64' + chr(5284 - 5183))(chr(0b11010 + 0o133) + '\164' + chr(102) + chr(0b101101) + chr(0b10 + 0o66)) or WVxHKyX45z_L in vwTzayUlIOD3: if iSjCO99Dc9pl: if C8dAr6Ujq2Tn != xafqLlk3kkUe(SXOLrMavuUCe(b';\xda\x1e\xc3'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(0b101110 + 0o66) + chr(2809 - 2708))(chr(9659 - 9542) + chr(2075 - 1959) + chr(0b1100110) + chr(590 - 545) + '\070'): K3J4ZwSlE0sT = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b';\xce\x1f\xca'), chr(189 - 89) + chr(3827 - 3726) + '\143' + chr(1178 - 1067) + chr(100) + chr(0b1100101))(chr(8609 - 8492) + chr(0b10001 + 0o143) + '\146' + chr(0b10110 + 0o27) + '\x38')] + xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xc0\x07\xdbQ\xef\x9e'), '\144' + '\x65' + chr(4986 - 4887) + '\157' + '\x64' + chr(2796 - 2695))('\165' + chr(3030 - 2914) + '\x66' + chr(45) + chr(0b10100 + 0o44)) else: K3J4ZwSlE0sT = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b';\xce\x1f\xca'), '\x64' + '\x65' + chr(0b110011 + 0o60) + '\x6f' + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(0b1001001 + 0o35) + chr(0b101101 + 0o0) + '\070')] if K3J4ZwSlE0sT in RoxCY1QcNwub: wjefSqyQUekw = RoxCY1QcNwub[K3J4ZwSlE0sT][ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8):] l5NoDRGbvWex += V5eb1YVdmXi4(kRMNAtqSxSv7[WVxHKyX45z_L], wjefSqyQUekw) if WVxHKyX45z_L == c2A0yzQpDQB3(kRMNAtqSxSv7) - ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101111 + 0o2), 8): zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'h'), '\144' + '\x65' + '\143' + chr(0b1001111 + 0o40) + chr(100) + '\x65')('\x75' + '\x74' + chr(0b0 + 0o146) + chr(0b101011 + 0o2) + '\x38') * QY9diorj5yYu) else: zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\n'), '\144' + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(9403 - 9302))(chr(0b1110101) + chr(2588 - 2472) + chr(0b1100110) + chr(0b101101) + chr(56)) * QY9diorj5yYu) zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xc0\x06\xceM\xba\x9aNs\xf3`Q\x9b\xa0\x183~\x91\x0b.\xf7\xcb'), '\x64' + chr(101) + chr(9097 - 8998) + '\157' + chr(1956 - 1856) + chr(0b11001 + 0o114))(chr(13427 - 13310) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\x9b\x00\xc0i\xfb\xb9\x1cQ\xe2hH'), chr(0b1100100) + '\145' + chr(3100 - 3001) + chr(111) + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b111100 + 0o52) + chr(45) + chr(0b111000)))(params=l5NoDRGbvWex)) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\n'), chr(0b1100100) + chr(0b101001 + 0o74) + chr(0b1000110 + 0o35) + '\x6f' + chr(5419 - 5319) + '\145')(chr(117) + '\x74' + chr(102) + chr(316 - 271) + chr(0b1101 + 0o53)) * QY9diorj5yYu)
apache/incubator-mxnet	python/mxnet/visualization.py	plot_network	def plot_network(symbol, title="plot", save_format='pdf', shape=None, dtype=None, node_attrs={}, hide_weights=True): """Creates a visualization (Graphviz digraph object) of the given computation graph. Graphviz must be installed for this function to work. Parameters ---------- title: str, optional Title of the generated visualization. symbol: Symbol A symbol from the computation graph. The generated digraph will visualize the part of the computation graph required to compute `symbol`. shape: dict, optional Specifies the shape of the input tensors. If specified, the visualization will include the shape of the tensors between the nodes. `shape` is a dictionary mapping input symbol names (str) to the corresponding tensor shape (tuple). dtype: dict, optional Specifies the type of the input tensors. If specified, the visualization will include the type of the tensors between the nodes. `dtype` is a dictionary mapping input symbol names (str) to the corresponding tensor type (e.g. `numpy.float32`). node_attrs: dict, optional Specifies the attributes for nodes in the generated visualization. `node_attrs` is a dictionary of Graphviz attribute names and values. For example:: node_attrs={"shape":"oval","fixedsize":"false"} will use oval shape for nodes and allow variable sized nodes in the visualization. hide_weights: bool, optional If True (default), then inputs with names of form _weight (corresponding to weight tensors) or _bias (corresponding to bias vectors) will be hidden for a cleaner visualization. Returns ------- dot: Digraph A Graphviz digraph object visualizing the computation graph to compute `symbol`. Example ------- >>> net = mx.sym.Variable('data') >>> net = mx.sym.FullyConnected(data=net, name='fc1', num_hidden=128) >>> net = mx.sym.Activation(data=net, name='relu1', act_type="relu") >>> net = mx.sym.FullyConnected(data=net, name='fc2', num_hidden=10) >>> net = mx.sym.SoftmaxOutput(data=net, name='out') >>> digraph = mx.viz.plot_network(net, shape={'data':(100,200)}, ... node_attrs={"fixedsize":"false"}) >>> digraph.view() Notes ----- If ``mxnet`` is imported, the visualization module can be used in its short-form. For example, if we ``import mxnet`` as follows:: import mxnet this method in visualization module can be used in its short-form as:: mxnet.viz.plot_network(...) """ # todo add shape support try: from graphviz import Digraph except: raise ImportError("Draw network requires graphviz library") if not isinstance(symbol, Symbol): raise TypeError("symbol must be a Symbol") internals = symbol.get_internals() draw_shape = shape is not None if draw_shape: _, out_shapes, _ = internals.infer_shape(shape) if out_shapes is None: raise ValueError("Input shape is incomplete") shape_dict = dict(zip(internals.list_outputs(), out_shapes)) draw_type = dtype is not None if draw_type: _, out_types, _ = internals.infer_type(dtype) if out_types is None: raise ValueError("Input type is incomplete") type_dict = dict(zip(internals.list_outputs(), out_types)) conf = json.loads(symbol.tojson()) nodes = conf["nodes"] # check if multiple nodes have the same name if len(nodes) != len(set([node["name"] for node in nodes])): seen_nodes = set() # find all repeated names repeated = set(node['name'] for node in nodes if node['name'] in seen_nodes or seen_nodes.add(node['name'])) warning_message = "There are multiple variables with the same name in your graph, " \ "this may result in cyclic graph. Repeated names: " + ','.join(repeated) warnings.warn(warning_message, RuntimeWarning) # default attributes of node node_attr = {"shape": "box", "fixedsize": "true", "width": "1.3", "height": "0.8034", "style": "filled"} # merge the dict provided by user and the default one node_attr.update(node_attrs) dot = Digraph(name=title, format=save_format) # color map cm = ("#8dd3c7", "#fb8072", "#ffffb3", "#bebada", "#80b1d3", "#fdb462", "#b3de69", "#fccde5") def looks_like_weight(name): """Internal helper to figure out if node should be hidden with `hide_weights`. """ weight_like = ('_weight', '_bias', '_beta', '_gamma', '_moving_var', '_moving_mean', '_running_var', '_running_mean') return name.endswith(weight_like) # make nodes hidden_nodes = set() for node in nodes: op = node["op"] name = node["name"] # input data attr = copy.deepcopy(node_attr) label = name if op == "null": if looks_like_weight(node["name"]): if hide_weights: hidden_nodes.add(node["name"]) # else we don't render a node, but # don't add it to the hidden_nodes set # so it gets rendered as an empty oval continue attr["shape"] = "oval" # inputs get their own shape label = node["name"] attr["fillcolor"] = cm[0] elif op == "Convolution": label = "Convolution\n{kernel}/{stride}, {filter}".format( kernel="x".join(_str2tuple(node["attrs"]["kernel"])), stride="x".join(_str2tuple(node["attrs"]["stride"])) if "stride" in node["attrs"] else "1", filter=node["attrs"]["num_filter"] ) attr["fillcolor"] = cm[1] elif op == "FullyConnected": label = "FullyConnected\n{hidden}".format(hidden=node["attrs"]["num_hidden"]) attr["fillcolor"] = cm[1] elif op == "BatchNorm": attr["fillcolor"] = cm[3] elif op == 'Activation': act_type = node["attrs"]["act_type"] label = 'Activation\n{activation}'.format(activation=act_type) attr["fillcolor"] = cm[2] elif op == 'LeakyReLU': attrs = node.get("attrs") act_type = attrs.get("act_type", "Leaky") if attrs else "Leaky" label = 'LeakyReLU\n{activation}'.format(activation=act_type) attr["fillcolor"] = cm[2] elif op == "Pooling": label = "Pooling\n{pooltype}, {kernel}/{stride}".format(pooltype=node["attrs"]["pool_type"], kernel="x".join(_str2tuple(node["attrs"]["kernel"])) if "kernel" in node["attrs"] else "[]", stride="x".join(_str2tuple(node["attrs"]["stride"])) if "stride" in node["attrs"] else "1") attr["fillcolor"] = cm[4] elif op in ("Concat", "Flatten", "Reshape"): attr["fillcolor"] = cm[5] elif op == "Softmax": attr["fillcolor"] = cm[6] else: attr["fillcolor"] = cm[7] if op == "Custom": label = node["attrs"]["op_type"] dot.node(name=name, label=label, attr) # add edges for node in nodes: # pylint: disable=too-many-nested-blocks op = node["op"] name = node["name"] if op == "null": continue else: inputs = node["inputs"] for item in inputs: input_node = nodes[item[0]] input_name = input_node["name"] if input_name not in hidden_nodes: attr = {"dir": "back", 'arrowtail':'open', 'label': ''} # add shapes if draw_shape: if input_node["op"] != "null": key = input_name + "_output" if "attrs" in input_node: params = input_node["attrs"] if "num_outputs" in params: key += str(int(params["num_outputs"]) - 1) shape = shape_dict[key][1:] label = "x".join([str(x) for x in shape]) attr["label"] = label else: key = input_name shape = shape_dict[key][1:] label = "x".join([str(x) for x in shape]) attr["label"] = label if draw_type: if input_node["op"] != "null": key = input_name + "_output" if "attrs" in input_node: params = input_node["attrs"] if "num_outputs" in params: key += str(int(params["num_outputs"]) - 1) dtype = type_dict[key] attr["label"] += '(' + dtype.__name__ + ')' else: key = input_name dtype = type_dict[key] attr["label"] += '(' + dtype.__name__ + ')' dot.edge(tail_name=name, head_name=input_name, attr) return dot	python	def plot_network(symbol, title="plot", save_format='pdf', shape=None, dtype=None, node_attrs={}, hide_weights=True): """Creates a visualization (Graphviz digraph object) of the given computation graph. Graphviz must be installed for this function to work. Parameters ---------- title: str, optional Title of the generated visualization. symbol: Symbol A symbol from the computation graph. The generated digraph will visualize the part of the computation graph required to compute `symbol`. shape: dict, optional Specifies the shape of the input tensors. If specified, the visualization will include the shape of the tensors between the nodes. `shape` is a dictionary mapping input symbol names (str) to the corresponding tensor shape (tuple). dtype: dict, optional Specifies the type of the input tensors. If specified, the visualization will include the type of the tensors between the nodes. `dtype` is a dictionary mapping input symbol names (str) to the corresponding tensor type (e.g. `numpy.float32`). node_attrs: dict, optional Specifies the attributes for nodes in the generated visualization. `node_attrs` is a dictionary of Graphviz attribute names and values. For example:: node_attrs={"shape":"oval","fixedsize":"false"} will use oval shape for nodes and allow variable sized nodes in the visualization. hide_weights: bool, optional If True (default), then inputs with names of form _weight (corresponding to weight tensors) or _bias (corresponding to bias vectors) will be hidden for a cleaner visualization. Returns ------- dot: Digraph A Graphviz digraph object visualizing the computation graph to compute `symbol`. Example ------- >>> net = mx.sym.Variable('data') >>> net = mx.sym.FullyConnected(data=net, name='fc1', num_hidden=128) >>> net = mx.sym.Activation(data=net, name='relu1', act_type="relu") >>> net = mx.sym.FullyConnected(data=net, name='fc2', num_hidden=10) >>> net = mx.sym.SoftmaxOutput(data=net, name='out') >>> digraph = mx.viz.plot_network(net, shape={'data':(100,200)}, ... node_attrs={"fixedsize":"false"}) >>> digraph.view() Notes ----- If ``mxnet`` is imported, the visualization module can be used in its short-form. For example, if we ``import mxnet`` as follows:: import mxnet this method in visualization module can be used in its short-form as:: mxnet.viz.plot_network(...) """ # todo add shape support try: from graphviz import Digraph except: raise ImportError("Draw network requires graphviz library") if not isinstance(symbol, Symbol): raise TypeError("symbol must be a Symbol") internals = symbol.get_internals() draw_shape = shape is not None if draw_shape: _, out_shapes, _ = internals.infer_shape(shape) if out_shapes is None: raise ValueError("Input shape is incomplete") shape_dict = dict(zip(internals.list_outputs(), out_shapes)) draw_type = dtype is not None if draw_type: _, out_types, _ = internals.infer_type(dtype) if out_types is None: raise ValueError("Input type is incomplete") type_dict = dict(zip(internals.list_outputs(), out_types)) conf = json.loads(symbol.tojson()) nodes = conf["nodes"] # check if multiple nodes have the same name if len(nodes) != len(set([node["name"] for node in nodes])): seen_nodes = set() # find all repeated names repeated = set(node['name'] for node in nodes if node['name'] in seen_nodes or seen_nodes.add(node['name'])) warning_message = "There are multiple variables with the same name in your graph, " \ "this may result in cyclic graph. Repeated names: " + ','.join(repeated) warnings.warn(warning_message, RuntimeWarning) # default attributes of node node_attr = {"shape": "box", "fixedsize": "true", "width": "1.3", "height": "0.8034", "style": "filled"} # merge the dict provided by user and the default one node_attr.update(node_attrs) dot = Digraph(name=title, format=save_format) # color map cm = ("#8dd3c7", "#fb8072", "#ffffb3", "#bebada", "#80b1d3", "#fdb462", "#b3de69", "#fccde5") def looks_like_weight(name): """Internal helper to figure out if node should be hidden with `hide_weights`. """ weight_like = ('_weight', '_bias', '_beta', '_gamma', '_moving_var', '_moving_mean', '_running_var', '_running_mean') return name.endswith(weight_like) # make nodes hidden_nodes = set() for node in nodes: op = node["op"] name = node["name"] # input data attr = copy.deepcopy(node_attr) label = name if op == "null": if looks_like_weight(node["name"]): if hide_weights: hidden_nodes.add(node["name"]) # else we don't render a node, but # don't add it to the hidden_nodes set # so it gets rendered as an empty oval continue attr["shape"] = "oval" # inputs get their own shape label = node["name"] attr["fillcolor"] = cm[0] elif op == "Convolution": label = "Convolution\n{kernel}/{stride}, {filter}".format( kernel="x".join(_str2tuple(node["attrs"]["kernel"])), stride="x".join(_str2tuple(node["attrs"]["stride"])) if "stride" in node["attrs"] else "1", filter=node["attrs"]["num_filter"] ) attr["fillcolor"] = cm[1] elif op == "FullyConnected": label = "FullyConnected\n{hidden}".format(hidden=node["attrs"]["num_hidden"]) attr["fillcolor"] = cm[1] elif op == "BatchNorm": attr["fillcolor"] = cm[3] elif op == 'Activation': act_type = node["attrs"]["act_type"] label = 'Activation\n{activation}'.format(activation=act_type) attr["fillcolor"] = cm[2] elif op == 'LeakyReLU': attrs = node.get("attrs") act_type = attrs.get("act_type", "Leaky") if attrs else "Leaky" label = 'LeakyReLU\n{activation}'.format(activation=act_type) attr["fillcolor"] = cm[2] elif op == "Pooling": label = "Pooling\n{pooltype}, {kernel}/{stride}".format(pooltype=node["attrs"]["pool_type"], kernel="x".join(_str2tuple(node["attrs"]["kernel"])) if "kernel" in node["attrs"] else "[]", stride="x".join(_str2tuple(node["attrs"]["stride"])) if "stride" in node["attrs"] else "1") attr["fillcolor"] = cm[4] elif op in ("Concat", "Flatten", "Reshape"): attr["fillcolor"] = cm[5] elif op == "Softmax": attr["fillcolor"] = cm[6] else: attr["fillcolor"] = cm[7] if op == "Custom": label = node["attrs"]["op_type"] dot.node(name=name, label=label, attr) # add edges for node in nodes: # pylint: disable=too-many-nested-blocks op = node["op"] name = node["name"] if op == "null": continue else: inputs = node["inputs"] for item in inputs: input_node = nodes[item[0]] input_name = input_node["name"] if input_name not in hidden_nodes: attr = {"dir": "back", 'arrowtail':'open', 'label': ''} # add shapes if draw_shape: if input_node["op"] != "null": key = input_name + "_output" if "attrs" in input_node: params = input_node["attrs"] if "num_outputs" in params: key += str(int(params["num_outputs"]) - 1) shape = shape_dict[key][1:] label = "x".join([str(x) for x in shape]) attr["label"] = label else: key = input_name shape = shape_dict[key][1:] label = "x".join([str(x) for x in shape]) attr["label"] = label if draw_type: if input_node["op"] != "null": key = input_name + "_output" if "attrs" in input_node: params = input_node["attrs"] if "num_outputs" in params: key += str(int(params["num_outputs"]) - 1) dtype = type_dict[key] attr["label"] += '(' + dtype.__name__ + ')' else: key = input_name dtype = type_dict[key] attr["label"] += '(' + dtype.__name__ + ')' dot.edge(tail_name=name, head_name=input_name, attr) return dot	[ "def", "plot_network", "(", "symbol", ",", "title", "=", "\"plot\"", ",", "save_format", "=", "'pdf'", ",", "shape", "=", "None", ",", "dtype", "=", "None", ",", "node_attrs", "=", "{", "}", ",", "hide_weights", "=", "True", ")", ":", "# todo add shape support", "try", ":", "from", "graphviz", "import", "Digraph", "except", ":", "raise", "ImportError", "(", "\"Draw network requires graphviz library\"", ")", "if", "not", "isinstance", "(", "symbol", ",", "Symbol", ")", ":", "raise", "TypeError", "(", "\"symbol must be a Symbol\"", ")", "internals", "=", "symbol", ".", "get_internals", "(", ")", "draw_shape", "=", "shape", "is", "not", "None", "if", "draw_shape", ":", "_", ",", "out_shapes", ",", "_", "=", "internals", ".", "infer_shape", "(", "", "", "shape", ")", "if", "out_shapes", "is", "None", ":", "raise", "ValueError", "(", "\"Input shape is incomplete\"", ")", "shape_dict", "=", "dict", "(", "zip", "(", "internals", ".", "list_outputs", "(", ")", ",", "out_shapes", ")", ")", "draw_type", "=", "dtype", "is", "not", "None", "if", "draw_type", ":", "_", ",", "out_types", ",", "_", "=", "internals", ".", "infer_type", "(", "", "", "dtype", ")", "if", "out_types", "is", "None", ":", "raise", "ValueError", "(", "\"Input type is incomplete\"", ")", "type_dict", "=", "dict", "(", "zip", "(", "internals", ".", "list_outputs", "(", ")", ",", "out_types", ")", ")", "conf", "=", "json", ".", "loads", "(", "symbol", ".", "tojson", "(", ")", ")", "nodes", "=", "conf", "[", "\"nodes\"", "]", "# check if multiple nodes have the same name", "if", "len", "(", "nodes", ")", "!=", "len", "(", "set", "(", "[", "node", "[", "\"name\"", "]", "for", "node", "in", "nodes", "]", ")", ")", ":", "seen_nodes", "=", "set", "(", ")", "# find all repeated names", "repeated", "=", "set", "(", "node", "[", "'name'", "]", "for", "node", "in", "nodes", "if", "node", "[", "'name'", "]", "in", "seen_nodes", "or", "seen_nodes", ".", "add", "(", "node", "[", "'name'", "]", ")", ")", "warning_message", "=", "\"There are multiple variables with the same name in your graph, \"", "\"this may result in cyclic graph. 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"\"attrs\"", "]", "[", "\"act_type\"", "]", "label", "=", "'Activation\\n{activation}'", ".", "format", "(", "activation", "=", "act_type", ")", "attr", "[", "\"fillcolor\"", "]", "=", "cm", "[", "2", "]", "elif", "op", "==", "'LeakyReLU'", ":", "attrs", "=", "node", ".", "get", "(", "\"attrs\"", ")", "act_type", "=", "attrs", ".", "get", "(", "\"act_type\"", ",", "\"Leaky\"", ")", "if", "attrs", "else", "\"Leaky\"", "label", "=", "'LeakyReLU\\n{activation}'", ".", "format", "(", "activation", "=", "act_type", ")", "attr", "[", "\"fillcolor\"", "]", "=", "cm", "[", "2", "]", "elif", "op", "==", "\"Pooling\"", ":", "label", "=", "\"Pooling\\n{pooltype}, {kernel}/{stride}\"", ".", "format", "(", "pooltype", "=", "node", "[", "\"attrs\"", "]", "[", "\"pool_type\"", "]", ",", "kernel", "=", "\"x\"", ".", "join", "(", "_str2tuple", "(", "node", "[", "\"attrs\"", "]", "[", "\"kernel\"", "]", ")", ")", "if", "\"kernel\"", "in", "node", "[", "\"attrs\"", "]", "else", "\"[]\"", ",", "stride", "=", "\"x\"", ".", "join", "(", "_str2tuple", "(", "node", "[", "\"attrs\"", "]", "[", "\"stride\"", "]", ")", ")", "if", "\"stride\"", "in", "node", "[", "\"attrs\"", "]", "else", "\"1\"", ")", "attr", "[", "\"fillcolor\"", "]", "=", "cm", "[", "4", "]", "elif", "op", "in", "(", "\"Concat\"", ",", "\"Flatten\"", ",", "\"Reshape\"", ")", ":", "attr", "[", "\"fillcolor\"", "]", "=", "cm", "[", "5", "]", "elif", "op", "==", "\"Softmax\"", ":", "attr", "[", "\"fillcolor\"", "]", "=", "cm", "[", "6", "]", "else", ":", "attr", "[", "\"fillcolor\"", "]", "=", "cm", "[", "7", "]", "if", "op", "==", "\"Custom\"", ":", "label", "=", "node", "[", "\"attrs\"", "]", "[", "\"op_type\"", "]", "dot", ".", "node", "(", "name", "=", "name", ",", "label", "=", "label", ",", "", "", "attr", ")", "# add edges", "for", "node", "in", "nodes", ":", "# pylint: disable=too-many-nested-blocks", "op", "=", "node", "[", "\"op\"", "]", "name", "=", "node", "[", "\"name\"", "]", "if", "op", "==", "\"null\"", ":", "continue", "else", ":", "inputs", "=", "node", "[", "\"inputs\"", "]", "for", "item", "in", "inputs", ":", "input_node", "=", "nodes", "[", "item", "[", "0", "]", "]", "input_name", "=", "input_node", "[", "\"name\"", "]", "if", "input_name", "not", "in", "hidden_nodes", ":", "attr", "=", "{", "\"dir\"", ":", "\"back\"", ",", "'arrowtail'", ":", "'open'", ",", "'label'", ":", "''", "}", "# add shapes", "if", "draw_shape", ":", "if", "input_node", "[", "\"op\"", "]", "!=", "\"null\"", ":", "key", "=", "input_name", "+", "\"_output\"", "if", "\"attrs\"", "in", "input_node", ":", "params", "=", "input_node", "[", "\"attrs\"", "]", "if", "\"num_outputs\"", "in", "params", ":", "key", "+=", "str", "(", "int", "(", "params", "[", "\"num_outputs\"", "]", ")", "-", "1", ")", "shape", "=", "shape_dict", "[", "key", "]", "[", "1", ":", "]", "label", "=", "\"x\"", ".", "join", "(", "[", "str", "(", "x", ")", "for", "x", "in", "shape", "]", ")", "attr", "[", "\"label\"", "]", "=", "label", 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"input_name", ",", "", "", "attr", ")", "return", "dot" ]	Creates a visualization (Graphviz digraph object) of the given computation graph. Graphviz must be installed for this function to work. Parameters ---------- title: str, optional Title of the generated visualization. symbol: Symbol A symbol from the computation graph. The generated digraph will visualize the part of the computation graph required to compute `symbol`. shape: dict, optional Specifies the shape of the input tensors. If specified, the visualization will include the shape of the tensors between the nodes. `shape` is a dictionary mapping input symbol names (str) to the corresponding tensor shape (tuple). dtype: dict, optional Specifies the type of the input tensors. If specified, the visualization will include the type of the tensors between the nodes. `dtype` is a dictionary mapping input symbol names (str) to the corresponding tensor type (e.g. `numpy.float32`). node_attrs: dict, optional Specifies the attributes for nodes in the generated visualization. `node_attrs` is a dictionary of Graphviz attribute names and values. For example:: node_attrs={"shape":"oval","fixedsize":"false"} will use oval shape for nodes and allow variable sized nodes in the visualization. hide_weights: bool, optional If True (default), then inputs with names of form _weight (corresponding to weight tensors) or _bias (corresponding to bias vectors) will be hidden for a cleaner visualization. Returns ------- dot: Digraph A Graphviz digraph object visualizing the computation graph to compute `symbol`. Example ------- >>> net = mx.sym.Variable('data') >>> net = mx.sym.FullyConnected(data=net, name='fc1', num_hidden=128) >>> net = mx.sym.Activation(data=net, name='relu1', act_type="relu") >>> net = mx.sym.FullyConnected(data=net, name='fc2', num_hidden=10) >>> net = mx.sym.SoftmaxOutput(data=net, name='out') >>> digraph = mx.viz.plot_network(net, shape={'data':(100,200)}, ... node_attrs={"fixedsize":"false"}) >>> digraph.view() Notes ----- If ``mxnet`` is imported, the visualization module can be used in its short-form. For example, if we ``import mxnet`` as follows:: import mxnet this method in visualization module can be used in its short-form as:: mxnet.viz.plot_network(...)	[ "Creates", "a", "visualization", "(", "Graphviz", "digraph", "object", ")", "of", "the", "given", "computation", "graph", ".", "Graphviz", "must", "be", "installed", "for", "this", "function", "to", "work", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/visualization.py#L211-L423	train	Creates a visualization of the given symbol in the computation graph.	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' + '\062' + chr(0b100011 + 0o15) + '\x31', 11739 - 11731), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x32' + chr(1173 - 1121) + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(555 - 507) + chr(6012 - 5901) + '\062' + chr(51) + chr(481 - 429), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + '\x33' + chr(0b110111) + chr(271 - 223), 0b1000), ehT0Px3KOsy9(chr(286 - 238) + chr(0b1101111) + chr(51) + chr(0b110100) + chr(0b100111 + 0o14), 10483 - 10475), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\x32' + chr(52) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1954 - 1906) + chr(0b1101111) + '\x36' + chr(53), 14091 - 14083), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100011 + 0o21) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1952 - 1903) + chr(55) + '\065', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\063' + chr(51) + '\062', 46001 - 45993), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + '\065', 8), ehT0Px3KOsy9(chr(425 - 377) + chr(111) + chr(0b110010) + chr(0b110001) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(523 - 412) + '\x31' + chr(0b1110 + 0o45) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(49) + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110110) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(336 - 283), 63726 - 63718), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x35' + chr(1097 - 1045), 0b1000), ehT0Px3KOsy9('\x30' + chr(1351 - 1240) + chr(0b110011) + chr(0b100001 + 0o20) + chr(0b101001 + 0o7), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(0b1110 + 0o44) + '\063' + chr(0b1011 + 0o54), 0b1000), ehT0Px3KOsy9(chr(465 - 417) + chr(111) + '\062' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\061' + '\066' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(8235 - 8124) + '\x33' + '\x34', 31854 - 31846), ehT0Px3KOsy9(chr(883 - 835) + chr(0b1100010 + 0o15) + chr(0b1101 + 0o46) + chr(1079 - 1028) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + '\x32' + '\060' + chr(1284 - 1235), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(2748 - 2695) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\061' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100100 + 0o15) + chr(53) + chr(1323 - 1272), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10100 + 0o36) + chr(0b110 + 0o52) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(5425 - 5314) + '\x31' + chr(1835 - 1783) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11111 + 0o22) + chr(1374 - 1325) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(51) + chr(200 - 146) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b110011) + chr(0b0 + 0o65) + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(51) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(53) + chr(53), 41933 - 41925), ehT0Px3KOsy9(chr(0b110000) + chr(2200 - 2089) + chr(0b110011 + 0o1) + chr(789 - 738), 8455 - 8447), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(0b110001) + chr(104 - 51) + chr(52), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(296 - 246), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b100 + 0o57) + '\x30' + chr(0b110100), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(1254 - 1201) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + chr(6766 - 6665))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + chr(0b10011 + 0o45)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def zgc1uYuB_HFm(Usr5ykvL2UZF, IkttdaI0bGlA=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xce\xf3\x8c'), '\x64' + chr(101) + chr(0b11000 + 0o113) + chr(0b1101111) + chr(9927 - 9827) + chr(0b1100101))(chr(4807 - 4690) + '\164' + chr(6257 - 6155) + chr(81 - 36) + chr(0b111000)), W1zGjrwPTdKa=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xc6\xfa'), '\144' + chr(0b1100101) + chr(99) + chr(0b1010 + 0o145) + chr(0b1001 + 0o133) + chr(0b1001100 + 0o31))(chr(0b1101010 + 0o13) + chr(0b1110100) + chr(1838 - 1736) + chr(45) + chr(56)), nauYfLglTpcb=None, jSV9IKnemH7K=None, sZ42qAc0A0bh={}, AkmCZPAUqfGG=ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(49), 0o10)): try: (W7a9TngFJ0vB,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xd0\xfd\x88\x8b\xd1\\\\'), chr(100) + '\x65' + '\x63' + chr(0b1101101 + 0o2) + '\144' + chr(101))('\165' + chr(116) + '\146' + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xcb\xfb\x8a\x82\xd7]'), chr(3681 - 3581) + chr(0b1010010 + 0o23) + '\x63' + '\x6f' + '\144' + chr(0b1100001 + 0o4))(chr(117) + '\x74' + chr(0b1100110) + chr(0b10110 + 0o27) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xcb\xfb\x8a\x82\xd7]'), '\x64' + '\x65' + '\143' + chr(0b10110 + 0o131) + chr(0b1100100) + '\145')(chr(0b111011 + 0o72) + chr(116) + chr(3651 - 3549) + '\055' + chr(0b111000))),) except ZVWAAMjVVHHl: raise yROw0HWBk0Qc(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xd0\xfd\x8f\xc3\xc9PRA\x12\xa8^\xac/\xe9Fh\x05\xba\|\xec0\x14n\xbf\xf1\x82\xfe\x02\xfc@"\x99\x8f\x8d\x0cQ\x15'), chr(0b1100011 + 0o1) + chr(2034 - 1933) + chr(0b100110 + 0o75) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + chr(0b1010001 + 0o25) + '\x2d' + '\x38')) if not PlSM16l2KDPD(Usr5ykvL2UZF, QHVwKuipVZQE): raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xdb\xf1\x9a\x8c\xcb\x15KC\x0e\xae\x15\xee8\xacV=?\xb1t\xfd\x7f\x1f'), '\144' + chr(0b111010 + 0o53) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + chr(7198 - 7082) + '\x66' + chr(0b11001 + 0o24) + chr(0b111000))) YABcj_9x7uIL = Usr5ykvL2UZF.get_internals() AU0U217gkFvT = nauYfLglTpcb is not None if AU0U217gkFvT: (VNGQdHSFPrso, DvOldN0T25Wu, VNGQdHSFPrso) = YABcj_9x7uIL.infer_shape(nauYfLglTpcb) if DvOldN0T25Wu is None: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xcc\xec\x8d\x97\x87FNW\r\xbf\x15\xe5.\xac^s\x0f\xa7t\xef\|\x16h\xbb'), chr(100) + chr(0b1000 + 0o135) + '\x63' + '\157' + chr(100) + '\x65')('\x75' + '\164' + chr(10335 - 10233) + chr(45) + chr(3009 - 2953))) RoxCY1QcNwub = wLqBDw8l0eIm(pZ0NK2y6HRbn(YABcj_9x7uIL.list_outputs(), DvOldN0T25Wu)) jLP3Icl7hL3b = jSV9IKnemH7K is not None if jLP3Icl7hL3b: (VNGQdHSFPrso, K6gLLxL4cxTY, VNGQdHSFPrso) = YABcj_9x7uIL.infer_type(jSV9IKnemH7K) if K6gLLxL4cxTY is None: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xcc\xec\x8d\x97\x87A_F\x18\xfa\\\xff}\xe5Y~\x03\xa5i\xf3u\x07y'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + '\144' + '\x65')('\165' + chr(116) + chr(102) + chr(45) + '\070')) p4kIWNblx_FU = wLqBDw8l0eIm(pZ0NK2y6HRbn(YABcj_9x7uIL.list_outputs(), K6gLLxL4cxTY)) X8b_zn8Ho3V_ = fXk443epxtd5.loads(Usr5ykvL2UZF.tojson()) kRMNAtqSxSv7 = X8b_zn8Ho3V_[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xcd\xf8\x9d\x90'), chr(0b1100100) + chr(0b1100101) + chr(6528 - 6429) + '\x6f' + chr(100) + '\x65')('\165' + chr(0b1011010 + 0o32) + chr(3013 - 2911) + '\055' + '\x38')] if c2A0yzQpDQB3(kRMNAtqSxSv7) != c2A0yzQpDQB3(MVEN8G6CxlvR([FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), chr(100) + '\145' + '\x63' + chr(7500 - 7389) + '\144' + chr(101))('\165' + '\x74' + chr(0b1100110) + chr(800 - 755) + '\070')] for FDgyextYBrUF in kRMNAtqSxSv7])): tkw9POc9ypEf = MVEN8G6CxlvR() tWdcvs3cv9z4 = MVEN8G6CxlvR((FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), chr(0b1100100) + chr(101) + chr(0b1011110 + 0o5) + chr(111) + chr(0b1011000 + 0o14) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(1659 - 1603))] for FDgyextYBrUF in kRMNAtqSxSv7 if FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), chr(0b11111 + 0o105) + chr(1414 - 1313) + chr(0b1010011 + 0o20) + chr(0b11011 + 0o124) + chr(0b1100100) + chr(7322 - 7221))(chr(0b1100100 + 0o21) + '\x74' + chr(102) + '\x2d' + chr(0b111000))] in tkw9POc9ypEf or tkw9POc9ypEf.uJ0q9cG5ZOR3(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), '\144' + '\x65' + chr(99) + chr(0b1010101 + 0o32) + chr(0b1100100) + '\x65')(chr(117) + '\164' + chr(102) + chr(45) + chr(0b111000))]))) sPiBehXH7FFn = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xca\xf9\x8a\x86\x87TTS]\xb7@\xe0)\xe5Gq\t\xe8o\xfeb\x1a}\xbc\xed\x8f\xfbK\xf1\t:\x98\xcd\x8b\x05FLq\xa5\xec\xc7\xbc\x96\x82\xcaP\x06_\x13\xfaL\xe3(\xfe\x17z\x1e\xa9i\xf7<Sh\xb6\xe8\x99\xa8\x06\xe7\x19n\x82\x88\x8c\x18O\x18"\xad\xef\x82\xff\x81\x80\xcb\\E\x16\x1a\xa8T\xfc5\xa2\x17O\t\xb8\|\xfed\x16x\xfe\xef\x8b\xe5\x0e\xf5Zn'), '\144' + chr(101) + '\x63' + chr(111) + chr(0b1100100) + chr(7737 - 7636))('\x75' + chr(0b1101010 + 0o12) + chr(0b1100110) + '\055' + chr(56)) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(100) + chr(101) + '\143' + chr(0b1101110 + 0o1) + chr(100) + chr(0b1000001 + 0o44))(chr(11394 - 11277) + '\164' + '\146' + '\x2d' + '\070')._oWXztVNnqHF(tWdcvs3cv9z4) xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xe6\xd9\x96\xad\xe5TDp3\x91X'), chr(0b1100100) + chr(0b1100101) + chr(0b1011001 + 0o12) + '\157' + chr(0b1100100) + '\x65')(chr(0b110101 + 0o100) + chr(0b1110100) + chr(102) + '\055' + chr(0b10101 + 0o43)))(sPiBehXH7FFn, eh4BeXwijHpf) gYNQvjxIBbxQ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xca\xfd\x88\x86'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + '\144' + chr(0b1010110 + 0o17))('\x75' + chr(0b1110100) + chr(3302 - 3200) + chr(45) + chr(1064 - 1008)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xcd\xe4'), chr(100) + '\145' + chr(0b1100011) + chr(6097 - 5986) + chr(0b110011 + 0o61) + chr(0b1100101))('\x75' + chr(815 - 699) + chr(5157 - 5055) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xe4\x9d\x87\xd4\\\\S'), '\x64' + chr(9075 - 8974) + chr(99) + '\157' + chr(6402 - 6302) + '\x65')(chr(117) + chr(0b1001101 + 0o47) + chr(102) + chr(0b101101) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xd0\xe9\x9d'), chr(0b1011001 + 0o13) + chr(0b1100101) + chr(7507 - 7408) + '\157' + chr(0b110000 + 0o64) + chr(0b100 + 0o141))(chr(117) + chr(0b1110010 + 0o2) + '\x66' + chr(0b101101) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xcb\xf8\x8c\x8b'), chr(937 - 837) + chr(6463 - 6362) + chr(0b11011 + 0o110) + chr(0b1101111) + chr(311 - 211) + '\145')(chr(0b111110 + 0o67) + '\x74' + chr(0b1100110) + '\x2d' + chr(3011 - 2955)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x8c\xaf'), '\x64' + chr(0b1010011 + 0o22) + '\x63' + chr(862 - 751) + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1000001 + 0o45) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xc7\xf5\x9f\x8b\xd3'), '\x64' + chr(0b1100101) + '\143' + chr(0b1010100 + 0o33) + '\x64' + chr(101))(chr(0b101000 + 0o115) + chr(0b1110100) + chr(122 - 20) + '\055' + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x8c\xa4\xc8\xd0\x93'), chr(100) + chr(7177 - 7076) + chr(0b1100011) + chr(9774 - 9663) + chr(0b1100100) + '\x65')(chr(6704 - 6587) + '\x74' + '\146' + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xd6\xe5\x94\x86'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(7356 - 7256) + chr(0b1110 + 0o127))(chr(0b1110101) + chr(10770 - 10654) + chr(0b1100110) + chr(0b101101) + '\070'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x86\xc3'), chr(0b11110 + 0o106) + chr(0b1011101 + 0o10) + chr(0b1011111 + 0o4) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b111011 + 0o72) + '\x74' + chr(0b101001 + 0o75) + chr(0b101101) + chr(0b11000 + 0o40))} xafqLlk3kkUe(gYNQvjxIBbxQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xd6\xdd\xbd\x8a\xe9\x7fHOI\xbf\x05'), '\x64' + '\x65' + chr(0b1100011) + chr(4968 - 4857) + chr(9379 - 9279) + chr(101))('\165' + chr(116) + chr(8994 - 8892) + chr(0b101101) + chr(0b111000)))(sZ42qAc0A0bh) TUcFSpv71Cs0 = W7a9TngFJ0vB(name=IkttdaI0bGlA, format=W1zGjrwPTdKa) Sy_Fav6C7Jyk = (xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x9a\xf8\x9c\xd0\xc4\x02'), chr(0b1100100) + chr(0b1100101) + chr(0b110110 + 0o55) + chr(936 - 825) + chr(0b1100100) + chr(101))('\x75' + '\164' + chr(102) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\xc4\xfe\xc0\xd3\x90\x07'), chr(0b1100100) + chr(101) + chr(0b1001001 + 0o32) + chr(11548 - 11437) + '\x64' + '\x65')('\165' + chr(4409 - 4293) + '\146' + chr(45) + chr(1626 - 1570)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\xc4\xfa\x9e\x85\xc5\x06'), chr(0b1000011 + 0o41) + chr(0b11101 + 0o110) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))('\165' + chr(0b1100110 + 0o16) + '\x66' + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\xc0\xf9\x9a\x82\xc3T'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + chr(6298 - 6197))('\x75' + '\x74' + chr(102) + chr(0b101101) + chr(1929 - 1873)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x9a\xac\x9a\xd2\xc3\x06'), '\x64' + chr(0b1100101) + chr(0b111011 + 0o50) + '\x6f' + chr(0b11101 + 0o107) + chr(0b11000 + 0o115))(chr(5875 - 5758) + chr(12899 - 12783) + '\146' + chr(0b101 + 0o50) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\xc4\xf8\x9a\xd7\x91\x07'), '\x64' + chr(101) + chr(6279 - 6180) + chr(0b1101111) + chr(9952 - 9852) + chr(2607 - 2506))(chr(0b11010 + 0o133) + chr(116) + chr(102) + chr(0b101101) + chr(1512 - 1456)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\xc0\xaf\x9c\x86\x91\x0c'), chr(100) + chr(8765 - 8664) + '\x63' + chr(0b1011110 + 0o21) + chr(0b1100100) + chr(0b1001 + 0o134))('\x75' + chr(0b111110 + 0o66) + chr(10262 - 10160) + chr(45) + chr(0b100011 + 0o25)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\xc4\xff\x9b\x87\xc2\x00'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + '\145')(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(0b10000 + 0o50))) def QPantiHPonYw(AIvJRzLdDfgF): xa7KWKPdjWdr = (xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xd5\xf9\x91\x84\xcfA'), chr(7143 - 7043) + chr(0b1100101) + chr(653 - 554) + chr(0b1101111) + '\144' + chr(5508 - 5407))('\x75' + '\164' + chr(4346 - 4244) + chr(1883 - 1838) + chr(0b101101 + 0o13)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xc0\xf5\x99\x90'), '\144' + chr(0b1100101) + chr(8702 - 8603) + '\x6f' + chr(100) + chr(0b1 + 0o144))(chr(0b1110101 + 0o0) + '\164' + '\x66' + chr(0b11 + 0o52) + chr(3015 - 2959)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xc0\xf9\x8c\x82'), chr(0b1100100) + chr(9666 - 9565) + '\x63' + '\x6f' + '\x64' + '\145')('\x75' + '\x74' + chr(0b1100110) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xc5\xfd\x95\x8e\xc6'), '\144' + chr(101) + chr(99) + chr(0b1101111) + '\144' + chr(101))(chr(0b101 + 0o160) + '\x74' + chr(0b1100110) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xcf\xf3\x8e\x8a\xc9Ry@\x1c\xa8'), '\x64' + chr(101) + chr(9026 - 8927) + chr(8804 - 8693) + chr(0b110111 + 0o55) + chr(3180 - 3079))('\x75' + '\164' + '\x66' + chr(1163 - 1118) + chr(0b110100 + 0o4)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xcf\xf3\x8e\x8a\xc9Ry[\x18\xbb['), chr(0b1100100) + '\x65' + chr(99) + chr(0b1100000 + 0o17) + '\144' + chr(0b100111 + 0o76))('\x75' + chr(116) + '\x66' + chr(1240 - 1195) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xd0\xe9\x96\x8d\xce[Ai\x0b\xbbG'), chr(3136 - 3036) + '\x65' + chr(0b11111 + 0o104) + chr(11768 - 11657) + chr(100) + '\145')('\x75' + '\164' + chr(102) + chr(45) + chr(357 - 301)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xd0\xe9\x96\x8d\xce[Ai\x10\xbfT\xe2'), '\144' + '\x65' + chr(99) + chr(0b1101111) + '\x64' + '\145')(chr(0b1001110 + 0o47) + chr(11129 - 11013) + chr(6175 - 6073) + chr(0b10110 + 0o27) + chr(0b100111 + 0o21))) return xafqLlk3kkUe(AIvJRzLdDfgF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xcc\xf8\x8b\x94\xceAN'), chr(0b100 + 0o140) + chr(0b1011110 + 0o7) + '\143' + '\x6f' + chr(0b110 + 0o136) + chr(0b1100101))('\165' + chr(116) + chr(0b101110 + 0o70) + chr(0b1100 + 0o41) + chr(0b100101 + 0o23)))(xa7KWKPdjWdr) ReThIWqwPyAY = MVEN8G6CxlvR() for FDgyextYBrUF in kRMNAtqSxSv7: C8dAr6Ujq2Tn = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd2'), '\144' + chr(0b10101 + 0o120) + chr(99) + chr(0b1101100 + 0o3) + chr(0b11000 + 0o114) + chr(6305 - 6204))('\x75' + chr(0b1110100) + chr(102) + chr(0b11001 + 0o24) + chr(0b111000))] AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), chr(0b1100100) + chr(0b111 + 0o136) + chr(99) + chr(0b1011100 + 0o23) + chr(6647 - 6547) + chr(9404 - 9303))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + '\070')] uwnd9_euJYKT = igThHS4jwVsa.deepcopy(gYNQvjxIBbxQ) TRUOLFLuD08x = AIvJRzLdDfgF if C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf0\x94'), '\x64' + chr(101) + '\143' + '\x6f' + '\x64' + chr(101))(chr(4911 - 4794) + chr(5626 - 5510) + chr(102) + chr(0b101100 + 0o1) + '\x38'): if QPantiHPonYw(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), chr(6826 - 6726) + chr(101) + chr(1660 - 1561) + chr(111) + '\144' + '\145')('\165' + '\x74' + '\146' + '\055' + '\070')]): if AkmCZPAUqfGG: xafqLlk3kkUe(ReThIWqwPyAY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xe8\xac\x89\xda\xc4r\x13l2\x88\x06'), '\x64' + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(2478 - 2422)))(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), chr(100) + chr(0b1011011 + 0o12) + chr(0b1100011) + '\x6f' + chr(8385 - 8285) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b111001 + 0o55) + chr(0b101011 + 0o2) + chr(56))]) continue uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xca\xfd\x88\x86'), '\x64' + chr(0b1100101) + chr(5634 - 5535) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1010110 + 0o20) + chr(45) + '\070')] = xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd4\xfd\x94'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(0b10011 + 0o121) + chr(0b1100101))(chr(1724 - 1607) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)) TRUOLFLuD08x = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b110101 + 0o57) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + '\x2d' + '\x38')] uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), chr(0b111111 + 0o45) + chr(5445 - 5344) + chr(3012 - 2913) + chr(3278 - 3167) + chr(0b1010111 + 0o15) + chr(0b1100101))('\x75' + chr(0b11111 + 0o125) + '\146' + '\x2d' + '\x38')] = Sy_Fav6C7Jyk[ehT0Px3KOsy9('\060' + chr(111) + chr(0b101 + 0o53), 0b1000)] elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xcd\xf2\x8e\x8c\xcb@R_\x12\xb4'), chr(100) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + '\145')(chr(0b100111 + 0o116) + chr(0b100111 + 0o115) + chr(0b1100110) + '\x2d' + chr(56)): TRUOLFLuD08x = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xcd\xf2\x8e\x8c\xcb@R_\x12\xb4?\xf76\xe9Es\t\xa4d\xb0k\x00h\xac\xe8\x8e\xed\x16\xaa@5\x96\x84\x93\x19F\x1e\x7f'), chr(0b1100100) + chr(101) + chr(0b1011100 + 0o7) + chr(2891 - 2780) + chr(0b1100100) + '\x65')(chr(0b10110 + 0o137) + '\x74' + '\x66' + chr(45) + chr(2906 - 2850)).V4roHaS3Ppej(kernel=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9'), chr(7745 - 7645) + '\145' + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(0b1000111 + 0o56) + chr(116) + chr(102) + chr(45) + '\070')._oWXztVNnqHF(Yc_M0glggNW5(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(0b1011111 + 0o5) + '\145' + chr(0b1000010 + 0o41) + chr(0b100101 + 0o112) + chr(3919 - 3819) + chr(101))(chr(0b1001100 + 0o51) + chr(0b1110100) + chr(0b1100110) + '\055' + '\070')][xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xc7\xee\x96\x86\xcb'), '\x64' + chr(0b1010100 + 0o21) + chr(9276 - 9177) + chr(111) + chr(0b111010 + 0o52) + chr(0b1101 + 0o130))('\165' + chr(116) + '\x66' + chr(0b110 + 0o47) + chr(56))])), stride=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9'), '\144' + '\145' + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(10485 - 10368) + chr(10767 - 10651) + '\x66' + '\055' + chr(0b1101 + 0o53))._oWXztVNnqHF(Yc_M0glggNW5(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(0b1100100) + '\x65' + chr(2759 - 2660) + chr(11599 - 11488) + chr(0b1100100) + chr(4557 - 4456))(chr(9500 - 9383) + '\x74' + chr(8263 - 8161) + chr(45) + '\070')][xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xd6\xee\x91\x87\xc2'), chr(4441 - 4341) + '\x65' + '\143' + '\x6f' + chr(7080 - 6980) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000))])) if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xd6\xee\x91\x87\xc2'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(9974 - 9857) + '\164' + chr(10367 - 10265) + chr(0b101101) + chr(56)) in FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(3882 - 3782) + chr(0b100001 + 0o104) + chr(1123 - 1024) + chr(0b1101111) + chr(0b1001100 + 0o30) + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(1913 - 1857))] else xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), '\144' + chr(0b1100101) + '\143' + chr(10882 - 10771) + chr(100) + chr(101))('\165' + chr(1531 - 1415) + '\146' + chr(640 - 595) + '\x38'), filter=FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(100) + chr(0b1100101))('\165' + '\x74' + chr(102) + chr(0b101011 + 0o2) + chr(0b111000))][xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf1\xa7\x85\xceYRS\x0f'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(4865 - 4765) + '\145')(chr(117) + chr(116) + '\146' + chr(0b10111 + 0o26) + '\070')]) uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), chr(0b1100100) + chr(6762 - 6661) + chr(2407 - 2308) + '\157' + '\x64' + chr(101))(chr(3486 - 3369) + chr(0b1110100) + chr(4070 - 3968) + chr(1598 - 1553) + chr(56))] = Sy_Fav6C7Jyk[ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1100010 + 0o15) + chr(1341 - 1292), 8)] elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xd7\xf0\x94\x9a\xe4ZHX\x18\xb9A\xe99'), '\x64' + chr(0b1100101) + chr(6774 - 6675) + chr(3946 - 3835) + chr(0b1100100) + chr(0b1100010 + 0o3))('\165' + chr(0b1110100) + '\146' + '\055' + chr(0b11100 + 0o34)): TRUOLFLuD08x = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xd7\xf0\x94\x9a\xe4ZHX\x18\xb9A\xe99\x86Lu\x05\xac}\xfa~\x0e'), chr(100) + '\x65' + '\143' + '\157' + chr(100) + chr(4212 - 4111))('\165' + chr(10585 - 10469) + chr(0b1100110) + chr(0b101101) + chr(56)).V4roHaS3Ppej(hidden=FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(0b1011110 + 0o6) + chr(6582 - 6481) + chr(6486 - 6387) + chr(0b1010101 + 0o32) + chr(0b1100100) + chr(101))(chr(0b110101 + 0o100) + '\x74' + '\x66' + '\x2d' + chr(56))][xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf1\xa7\x8b\xceQBS\x13'), chr(0b1100100) + chr(0b1100101) + chr(0b10110 + 0o115) + chr(0b1101111) + chr(1427 - 1327) + '\x65')(chr(117) + '\164' + chr(102) + chr(45) + chr(0b11101 + 0o33))]) uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), '\144' + chr(0b1000000 + 0o45) + chr(0b11000 + 0o113) + chr(6715 - 6604) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(56))] = Sy_Fav6C7Jyk[ehT0Px3KOsy9(chr(48) + chr(4031 - 3920) + '\061', 8)] elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xc3\xe8\x9b\x8b\xe9ZT['), chr(100) + '\145' + chr(2171 - 2072) + chr(0b101011 + 0o104) + chr(100) + chr(0b1100101))(chr(10401 - 10284) + chr(8602 - 8486) + '\146' + '\055' + chr(56)): uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), chr(100) + chr(0b111011 + 0o52) + '\x63' + chr(0b10111 + 0o130) + chr(9967 - 9867) + chr(0b1100101))('\165' + chr(2476 - 2360) + chr(9467 - 9365) + chr(0b11 + 0o52) + chr(56))] = Sy_Fav6C7Jyk[ehT0Px3KOsy9(chr(907 - 859) + chr(111) + chr(845 - 794), 30344 - 30336)] elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xc1\xe8\x91\x95\xc6AOY\x13'), chr(100) + chr(0b101001 + 0o74) + chr(0b1100011) + chr(111) + '\x64' + '\x65')(chr(4743 - 4626) + chr(0b1001010 + 0o52) + '\x66' + '\055' + chr(56)): vJeozUgw4tSV = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(100) + '\145' + chr(0b1100010 + 0o1) + '\157' + chr(100) + chr(101))('\x75' + '\164' + chr(0b1100000 + 0o6) + '\055' + chr(0b1000 + 0o60))][xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xc1\xe8\xa7\x97\xdeEC'), chr(0b100000 + 0o104) + chr(0b100101 + 0o100) + '\143' + '\x6f' + '\144' + '\x65')(chr(9728 - 9611) + chr(116) + '\146' + chr(0b101101) + chr(56))] TRUOLFLuD08x = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xc1\xe8\x91\x95\xc6AOY\x13\xd0N\xed>\xf8^k\r\xbcp\xf0~\x0e'), chr(0b1100100) + chr(0b1100101) + chr(427 - 328) + '\157' + '\144' + '\x65')(chr(4820 - 4703) + chr(116) + '\x66' + chr(569 - 524) + chr(0b111000)).V4roHaS3Ppej(activation=vJeozUgw4tSV) uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), chr(0b11111 + 0o105) + chr(0b1100101) + chr(1995 - 1896) + chr(10339 - 10228) + chr(100) + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + chr(56))] = Sy_Fav6C7Jyk[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062', 8)] elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xc7\xfd\x93\x9a\xf5Pjc'), '\144' + chr(7073 - 6972) + '\143' + '\x6f' + chr(2926 - 2826) + chr(5952 - 5851))(chr(0b1110101) + chr(116) + chr(5073 - 4971) + chr(0b101101) + chr(0b101000 + 0o20)): oIhwMA96NShQ = FDgyextYBrUF.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(7833 - 7733) + '\x65' + chr(0b1100011) + '\157' + chr(8588 - 8488) + '\145')('\165' + chr(116) + chr(346 - 244) + chr(0b101101) + chr(0b11010 + 0o36))) vJeozUgw4tSV = oIhwMA96NShQ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xc1\xe8\xa7\x97\xdeEC'), chr(0b1001111 + 0o25) + chr(0b100111 + 0o76) + '\x63' + chr(111) + chr(100) + '\x65')('\165' + chr(0b1011 + 0o151) + chr(0b100101 + 0o101) + '\055' + chr(0b1010 + 0o56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xc7\xfd\x93\x9a'), chr(100) + chr(9456 - 9355) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b110001 + 0o64))('\165' + chr(116) + chr(6337 - 6235) + chr(1584 - 1539) + chr(1426 - 1370))) if oIhwMA96NShQ else xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xc7\xfd\x93\x9a'), chr(100) + chr(0b1100101) + '\143' + chr(2653 - 2542) + chr(2946 - 2846) + chr(0b1100101))('\165' + '\164' + '\x66' + '\055' + chr(56)) TRUOLFLuD08x = xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xc7\xfd\x93\x9a\xf5Pjcw\xa1T\xef)\xe5A\|\x18\xa1v\xf1m'), chr(9793 - 9693) + chr(0b1100101) + chr(0b100100 + 0o77) + chr(111) + chr(4756 - 4656) + chr(0b1100101))(chr(0b1110101) + chr(0b1010000 + 0o44) + chr(2044 - 1942) + '\x2d' + chr(56)).V4roHaS3Ppej(activation=vJeozUgw4tSV) uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), chr(0b111 + 0o135) + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1010101 + 0o40) + '\164' + chr(905 - 803) + '\x2d' + chr(225 - 169))] = Sy_Fav6C7Jyk[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1100 + 0o46), 8)] elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xcd\xf3\x94\x8a\xc9R'), '\144' + chr(0b1100101) + chr(0b1100011 + 0o0) + chr(0b110100 + 0o73) + chr(100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(1863 - 1818) + '\x38'): TRUOLFLuD08x = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xcd\xf3\x94\x8a\xc9R,M\r\xb5Z\xe0)\xf5Gx\x11\xe49\xe4{\x16n\xb0\xe4\x86\xf5D\xfd\x13:\x82\x84\x9b\x08^'), chr(0b10001 + 0o123) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b101111 + 0o65) + chr(101))(chr(0b1110101) + '\164' + chr(0b100100 + 0o102) + chr(0b101101) + chr(0b111000)).V4roHaS3Ppej(pooltype=FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), '\144' + chr(0b1100101) + chr(4242 - 4143) + '\157' + chr(100) + '\145')('\x75' + '\164' + chr(8515 - 8413) + chr(45) + chr(168 - 112))][xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xcd\xf3\x94\xbc\xd3LVS'), chr(100) + '\x65' + chr(0b100011 + 0o100) + chr(0b100001 + 0o116) + '\x64' + chr(0b100010 + 0o103))('\x75' + '\x74' + chr(3286 - 3184) + '\x2d' + chr(0b111000))], kernel=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9'), chr(0b1100100) + chr(101) + '\143' + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(0b10100 + 0o44))._oWXztVNnqHF(Yc_M0glggNW5(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(717 - 617) + chr(101) + chr(4986 - 4887) + chr(0b1101111) + '\144' + '\145')(chr(0b100010 + 0o123) + '\x74' + '\146' + chr(275 - 230) + '\x38')][xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xc7\xee\x96\x86\xcb'), chr(100) + chr(0b1111 + 0o126) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b10 + 0o143))('\165' + '\x74' + chr(5484 - 5382) + chr(1887 - 1842) + chr(0b111000))])) if xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xc7\xee\x96\x86\xcb'), '\x64' + '\x65' + chr(99) + '\157' + chr(0b1100100) + chr(0b1000000 + 0o45))(chr(0b1110101) + '\x74' + chr(102) + chr(850 - 805) + '\x38') in FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), '\x64' + chr(8768 - 8667) + chr(0b1100011) + '\157' + '\x64' + '\145')('\x75' + '\x74' + chr(0b1010001 + 0o25) + '\055' + chr(0b100011 + 0o25))] else xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xff'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + '\x65')(chr(8261 - 8144) + chr(3167 - 3051) + chr(847 - 745) + chr(1715 - 1670) + '\x38'), stride=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9'), chr(1731 - 1631) + '\x65' + chr(0b1100011) + chr(0b101001 + 0o106) + '\144' + chr(3818 - 3717))('\x75' + chr(0b10111 + 0o135) + chr(0b1100110) + '\055' + chr(0b100000 + 0o30))._oWXztVNnqHF(Yc_M0glggNW5(FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(100) + '\x65' + chr(99) + chr(0b1011100 + 0o23) + chr(1872 - 1772) + '\145')(chr(0b1000001 + 0o64) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56))][xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xd6\xee\x91\x87\xc2'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1010010 + 0o35) + chr(9409 - 9309) + '\x65')(chr(0b1110000 + 0o5) + chr(0b1110100) + '\x66' + chr(0b10101 + 0o30) + '\070')])) if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xd6\xee\x91\x87\xc2'), chr(0b100111 + 0o75) + '\145' + chr(0b100100 + 0o77) + chr(111) + chr(1761 - 1661) + chr(0b1100101))('\x75' + chr(0b1001111 + 0o45) + chr(0b1100110) + chr(0b1010 + 0o43) + chr(0b111000)) in FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), '\144' + chr(101) + '\143' + chr(0b1000110 + 0o51) + '\x64' + '\145')('\165' + '\164' + chr(0b1001011 + 0o33) + '\x2d' + chr(0b101100 + 0o14))] else xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), chr(100) + '\x65' + '\x63' + '\157' + chr(0b100 + 0o140) + chr(0b1100101))('\x75' + chr(7961 - 7845) + chr(0b1110 + 0o130) + chr(45) + '\x38')) uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), chr(0b101100 + 0o70) + chr(0b1100101) + chr(0b1011010 + 0o11) + chr(0b10011 + 0o134) + '\144' + chr(101))(chr(0b1110101) + chr(116) + chr(4908 - 4806) + chr(636 - 591) + chr(56))] = Sy_Fav6C7Jyk[ehT0Px3KOsy9('\x30' + '\157' + '\x34', ord("\x08"))] elif C8dAr6Ujq2Tn in (xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xcd\xf2\x9b\x82\xd3'), '\144' + chr(8520 - 8419) + '\x63' + '\157' + chr(8589 - 8489) + chr(0b1100101))(chr(117) + chr(3893 - 3777) + chr(0b1100110) + chr(45) + chr(1348 - 1292)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xce\xfd\x8c\x97\xc2['), chr(0b1100100) + chr(0b1100101) + chr(0b100101 + 0o76) + '\157' + chr(0b1000 + 0o134) + '\x65')('\165' + '\164' + chr(0b1100110) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xc7\xef\x90\x82\xd7P'), '\x64' + '\x65' + chr(0b11100 + 0o107) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b11011 + 0o113) + '\x2d' + chr(0b111000))): uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), '\x64' + chr(0b1100101) + chr(0b1010011 + 0o20) + '\x6f' + '\144' + chr(0b1100101))(chr(12914 - 12797) + chr(116) + chr(102) + '\055' + '\070')] = Sy_Fav6C7Jyk[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101), 0o10)] elif C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xcd\xfa\x8c\x8e\xc6M'), '\144' + chr(101) + '\143' + chr(0b1100001 + 0o16) + chr(100) + chr(0b11111 + 0o106))(chr(339 - 222) + chr(11060 - 10944) + chr(0b1011001 + 0o15) + '\x2d' + chr(0b110100 + 0o4)): uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), '\x64' + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(101))('\x75' + chr(0b11110 + 0o126) + chr(7827 - 7725) + chr(295 - 250) + chr(0b11100 + 0o34))] = Sy_Fav6C7Jyk[ehT0Px3KOsy9('\x30' + '\x6f' + '\066', 0o10)] else: uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xcb\xf0\x94\x80\xc8YID'), '\144' + '\145' + '\143' + chr(0b100100 + 0o113) + chr(0b111111 + 0o45) + chr(0b0 + 0o145))(chr(0b1110101 + 0o0) + chr(0b1110100) + chr(102) + chr(45) + chr(0b11011 + 0o35))] = Sy_Fav6C7Jyk[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1020 - 965), ord("\x08"))] if C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xd7\xef\x8c\x8c\xca'), '\144' + chr(0b1100010 + 0o3) + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(3795 - 3678) + chr(116) + chr(3472 - 3370) + chr(45) + chr(0b111000)): TRUOLFLuD08x = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), '\144' + '\145' + chr(2991 - 2892) + chr(11508 - 11397) + chr(0b1001110 + 0o26) + chr(0b1011000 + 0o15))(chr(588 - 471) + chr(0b101100 + 0o110) + chr(0b1100110) + chr(1428 - 1383) + chr(711 - 655))][xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd2\xc3\x8c\x9a\xd7P'), chr(0b1010001 + 0o23) + '\x65' + '\x63' + '\157' + '\144' + chr(0b1100101))(chr(2185 - 2068) + chr(116) + '\x66' + chr(45) + '\070')] xafqLlk3kkUe(TUcFSpv71Cs0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xe6\xfb\x81\x86\xdfA\x7ft\x0f\x8fs'), '\144' + '\145' + '\x63' + '\x6f' + chr(100) + chr(3732 - 3631))(chr(0b1101 + 0o150) + chr(2963 - 2847) + '\146' + chr(904 - 859) + chr(0b111000)))(name=AIvJRzLdDfgF, label=TRUOLFLuD08x, uwnd9_euJYKT) for FDgyextYBrUF in kRMNAtqSxSv7: C8dAr6Ujq2Tn = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd2'), chr(0b101000 + 0o74) + chr(0b1010100 + 0o21) + '\x63' + '\x6f' + '\144' + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b101110 + 0o12))] AIvJRzLdDfgF = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), chr(0b1100100) + '\145' + chr(9468 - 9369) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1001111 + 0o45) + '\x66' + chr(0b101101) + chr(0b111000))] if C8dAr6Ujq2Tn == xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf0\x94'), chr(0b100110 + 0o76) + chr(101) + '\x63' + '\157' + '\144' + chr(9559 - 9458))(chr(8437 - 8320) + chr(12853 - 12737) + chr(102) + '\x2d' + chr(3083 - 3027)): continue else: vXoupepMtCXU = FDgyextYBrUF[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xcc\xec\x8d\x97\xd4'), chr(0b101110 + 0o66) + chr(0b1100101) + '\x63' + chr(4414 - 4303) + chr(0b1100100) + chr(3102 - 3001))('\x75' + chr(0b1110100) + chr(5177 - 5075) + chr(1097 - 1052) + '\070')] for N7j7ePTXzzI0 in vXoupepMtCXU: BON7oWI0tu0w = kRMNAtqSxSv7[N7j7ePTXzzI0[ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b11100 + 0o24), 8)]] T1P2HfUVrGuW = BON7oWI0tu0w[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xc3\xf1\x9d'), '\x64' + chr(0b1011000 + 0o15) + chr(0b1100011) + '\157' + chr(100) + '\x65')('\165' + chr(2121 - 2005) + chr(0b1010101 + 0o21) + chr(364 - 319) + '\x38')] if T1P2HfUVrGuW not in ReThIWqwPyAY: uwnd9_euJYKT = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xcb\xee'), chr(0b1001110 + 0o26) + chr(101) + chr(1175 - 1076) + '\157' + '\x64' + chr(0b1100101))(chr(8724 - 8607) + chr(0b1110010 + 0o2) + chr(102) + chr(45) + chr(0b100001 + 0o27)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc3\xff\x93'), chr(7652 - 7552) + chr(6078 - 5977) + chr(9064 - 8965) + chr(0b1101111) + '\x64' + chr(0b1100 + 0o131))('\x75' + '\x74' + '\x66' + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd0\xee\x97\x94\xd3TOZ'), chr(100) + chr(101) + chr(2956 - 2857) + chr(111) + '\144' + '\145')('\x75' + chr(116) + '\x66' + chr(0b11010 + 0o23) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd2\xf9\x96'), chr(0b1100100) + chr(0b1100101) + chr(7179 - 7080) + '\157' + chr(100) + chr(307 - 206))('\x75' + chr(0b1110100) + chr(0b1000110 + 0o40) + chr(1191 - 1146) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xc3\xfe\x9d\x8f'), chr(7599 - 7499) + '\145' + chr(0b110100 + 0o57) + '\157' + chr(7810 - 7710) + '\x65')('\165' + chr(0b11100 + 0o130) + chr(0b101101 + 0o71) + chr(45) + chr(1881 - 1825)): xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + chr(1169 - 1068) + '\x63' + chr(6126 - 6015) + chr(5581 - 5481) + chr(0b1100101))(chr(2600 - 2483) + chr(0b1110100 + 0o0) + '\x66' + chr(0b101101) + chr(56))} if AU0U217gkFvT: if BON7oWI0tu0w[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd2'), '\144' + chr(3584 - 3483) + chr(0b111101 + 0o46) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b10000 + 0o144) + '\146' + '\x2d' + chr(1906 - 1850))] != xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf0\x94'), chr(5501 - 5401) + chr(3920 - 3819) + chr(0b1100011) + chr(111) + '\x64' + '\x65')('\165' + chr(116) + chr(1042 - 940) + chr(252 - 207) + '\070'): K3J4ZwSlE0sT = T1P2HfUVrGuW + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xcd\xe9\x8c\x93\xd2A'), chr(0b1100100) + chr(0b1010100 + 0o21) + chr(0b1000111 + 0o34) + chr(0b1101111) + '\x64' + '\x65')(chr(11240 - 11123) + '\x74' + chr(0b100011 + 0o103) + '\x2d' + chr(56)) if xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(1098 - 998) + chr(6513 - 6412) + chr(0b1000111 + 0o34) + chr(10236 - 10125) + '\x64' + chr(101))(chr(0b1010100 + 0o41) + '\x74' + '\x66' + '\055' + chr(0b101001 + 0o17)) in BON7oWI0tu0w: nEbJZ4wfte2w = BON7oWI0tu0w[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(100) + chr(3896 - 3795) + chr(99) + '\157' + chr(100) + chr(0b0 + 0o145))(chr(0b1110101) + chr(568 - 452) + '\x66' + chr(0b101101) + chr(0b111000))] if xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf1\xa7\x8c\xd2AVC\t\xa9'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + chr(0b1100101))(chr(0b11111 + 0o126) + chr(0b1110100) + chr(102) + '\055' + chr(187 - 131)) in nEbJZ4wfte2w: K3J4ZwSlE0sT += M8_cKLkHVB2V(ehT0Px3KOsy9(nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf1\xa7\x8c\xd2AVC\t\xa9'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b100110 + 0o76) + '\145')(chr(1595 - 1478) + chr(116) + chr(7666 - 7564) + chr(0b10100 + 0o31) + '\x38')]) - ehT0Px3KOsy9('\x30' + '\x6f' + '\061', 8)) nauYfLglTpcb = RoxCY1QcNwub[K3J4ZwSlE0sT][ehT0Px3KOsy9(chr(0b110000) + chr(6018 - 5907) + chr(49), 8):] TRUOLFLuD08x = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9'), '\144' + '\x65' + '\x63' + '\x6f' + chr(1484 - 1384) + chr(0b1100101))(chr(0b1100101 + 0o20) + '\164' + '\146' + chr(45) + chr(56))._oWXztVNnqHF([M8_cKLkHVB2V(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in nauYfLglTpcb]) uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xc3\xfe\x9d\x8f'), '\144' + '\145' + chr(3888 - 3789) + chr(8114 - 8003) + chr(0b1100100) + chr(0b1011010 + 0o13))(chr(1692 - 1575) + '\x74' + chr(0b1000 + 0o136) + chr(45) + chr(56))] = TRUOLFLuD08x else: K3J4ZwSlE0sT = T1P2HfUVrGuW nauYfLglTpcb = RoxCY1QcNwub[K3J4ZwSlE0sT][ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b110111 + 0o70) + '\061', 8):] TRUOLFLuD08x = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9'), chr(5940 - 5840) + '\x65' + chr(0b101101 + 0o66) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + '\x66' + chr(0b11111 + 0o16) + chr(0b1010 + 0o56))._oWXztVNnqHF([M8_cKLkHVB2V(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in nauYfLglTpcb]) uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xc3\xfe\x9d\x8f'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b10001 + 0o123) + chr(101))(chr(0b1011010 + 0o33) + chr(0b1011110 + 0o26) + chr(248 - 146) + chr(0b101101) + chr(1200 - 1144))] = TRUOLFLuD08x if jLP3Icl7hL3b: if BON7oWI0tu0w[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd2'), chr(0b100011 + 0o101) + chr(415 - 314) + '\x63' + chr(5940 - 5829) + chr(0b1111 + 0o125) + '\145')(chr(12763 - 12646) + chr(10788 - 10672) + chr(1680 - 1578) + chr(0b101101) + chr(2628 - 2572))] != xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf0\x94'), chr(0b1100100) + chr(3114 - 3013) + chr(0b1100011) + chr(0b10101 + 0o132) + '\x64' + chr(101))(chr(0b1100 + 0o151) + chr(0b1101111 + 0o5) + chr(102) + chr(0b111 + 0o46) + chr(0b111000)): K3J4ZwSlE0sT = T1P2HfUVrGuW + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xcd\xe9\x8c\x93\xd2A'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1001000 + 0o47) + chr(0b1100100) + chr(5382 - 5281))(chr(0b1110101) + chr(0b111011 + 0o71) + '\146' + chr(0b11010 + 0o23) + chr(0b111000)) if xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(100) + chr(560 - 459) + chr(0b1000111 + 0o34) + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(0b1001000 + 0o54) + chr(0b1100110) + '\055' + chr(0b100011 + 0o25)) in BON7oWI0tu0w: nEbJZ4wfte2w = BON7oWI0tu0w[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd6\xe8\x8a\x90'), chr(8431 - 8331) + chr(2377 - 2276) + chr(0b1011001 + 0o12) + chr(0b1101111) + chr(9149 - 9049) + '\145')(chr(0b1001001 + 0o54) + chr(8054 - 7938) + chr(0b1100110) + '\055' + chr(711 - 655))] if xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf1\xa7\x8c\xd2AVC\t\xa9'), chr(100) + chr(101) + '\x63' + '\x6f' + chr(100) + '\145')(chr(117) + chr(116) + chr(4623 - 4521) + chr(348 - 303) + chr(0b110 + 0o62)) in nEbJZ4wfte2w: K3J4ZwSlE0sT += M8_cKLkHVB2V(ehT0Px3KOsy9(nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xf1\xa7\x8c\xd2AVC\t\xa9'), chr(100) + chr(0b1100000 + 0o5) + chr(0b1001 + 0o132) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(6794 - 6677) + chr(0b1110100) + chr(0b1100110) + '\055' + '\070')]) - ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b11011 + 0o26), 8)) jSV9IKnemH7K = p4kIWNblx_FU[K3J4ZwSlE0sT] uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xc3\xfe\x9d\x8f'), '\x64' + '\145' + chr(0b1100011) + chr(1978 - 1867) + '\144' + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b10101 + 0o30) + '\070')] += xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), chr(8938 - 8838) + chr(0b100111 + 0o76) + '\143' + '\x6f' + '\144' + chr(101))(chr(7110 - 6993) + '\x74' + '\x66' + chr(45) + chr(2564 - 2508)) + jSV9IKnemH7K.Gbej4oZqKLA6 + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), chr(100) + chr(101) + '\x63' + chr(111) + chr(0b101101 + 0o67) + '\145')('\x75' + chr(11742 - 11626) + chr(6044 - 5942) + chr(45) + chr(56)) else: K3J4ZwSlE0sT = T1P2HfUVrGuW jSV9IKnemH7K = p4kIWNblx_FU[K3J4ZwSlE0sT] uwnd9_euJYKT[xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xc3\xfe\x9d\x8f'), chr(0b1100100) + '\145' + chr(0b1000111 + 0o34) + chr(111) + chr(0b110100 + 0o60) + '\145')('\165' + chr(0b10011 + 0o141) + chr(102) + chr(0b101101) + chr(0b11011 + 0o35))] += xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), chr(100) + chr(4591 - 4490) + chr(99) + chr(0b1101111) + chr(0b10000 + 0o124) + '\x65')(chr(117) + chr(993 - 877) + chr(0b1100110) + chr(45) + chr(2202 - 2146)) + jSV9IKnemH7K.Gbej4oZqKLA6 + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(8069 - 7969) + '\145')(chr(10439 - 10322) + chr(116) + '\146' + '\x2d' + '\070') xafqLlk3kkUe(TUcFSpv71Cs0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xc6\xfb\x9d'), chr(100) + chr(7746 - 7645) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(9866 - 9764) + chr(0b101101) + chr(91 - 35)))(tail_name=AIvJRzLdDfgF, head_name=T1P2HfUVrGuW, uwnd9_euJYKT) return TUcFSpv71Cs0
apache/incubator-mxnet	example/distributed_training/cifar10_dist.py	evaluate_accuracy	def evaluate_accuracy(data_iterator, network): """ Measure the accuracy of ResNet Parameters ---------- data_iterator: Iter examples of dataset network: ResNet Returns ---------- tuple of array element """ acc = mx.metric.Accuracy() # Iterate through data and label for i, (data, label) in enumerate(data_iterator): # Get the data and label into the GPU data = data.as_in_context(ctx[0]) label = label.as_in_context(ctx[0]) # Get network's output which is a probability distribution # Apply argmax on the probability distribution to get network's classification. output = network(data) predictions = nd.argmax(output, axis=1) # Give network's prediction and the correct label to update the metric acc.update(preds=predictions, labels=label) # Return the accuracy return acc.get()[1]	python	def evaluate_accuracy(data_iterator, network): """ Measure the accuracy of ResNet Parameters ---------- data_iterator: Iter examples of dataset network: ResNet Returns ---------- tuple of array element """ acc = mx.metric.Accuracy() # Iterate through data and label for i, (data, label) in enumerate(data_iterator): # Get the data and label into the GPU data = data.as_in_context(ctx[0]) label = label.as_in_context(ctx[0]) # Get network's output which is a probability distribution # Apply argmax on the probability distribution to get network's classification. output = network(data) predictions = nd.argmax(output, axis=1) # Give network's prediction and the correct label to update the metric acc.update(preds=predictions, labels=label) # Return the accuracy return acc.get()[1]	[ "def", "evaluate_accuracy", "(", "data_iterator", ",", "network", ")", ":", "acc", "=", "mx", ".", "metric", ".", "Accuracy", "(", ")", "# Iterate through data and label", "for", "i", ",", "(", "data", ",", "label", ")", "in", "enumerate", "(", "data_iterator", ")", ":", "# Get the data and label into the GPU", "data", "=", "data", ".", "as_in_context", "(", "ctx", "[", "0", "]", ")", "label", "=", "label", ".", "as_in_context", "(", "ctx", "[", "0", "]", ")", "# Get network's output which is a probability distribution", "# Apply argmax on the probability distribution to get network's classification.", "output", "=", "network", "(", "data", ")", "predictions", "=", "nd", ".", "argmax", "(", "output", ",", "axis", "=", "1", ")", "# Give network's prediction and the correct label to update the metric", "acc", ".", "update", "(", "preds", "=", "predictions", ",", "labels", "=", "label", ")", "# Return the accuracy", "return", "acc", ".", "get", "(", ")", "[", "1", "]" ]	Measure the accuracy of ResNet Parameters ---------- data_iterator: Iter examples of dataset network: ResNet Returns ---------- tuple of array element	[ "Measure", "the", "accuracy", "of", "ResNet" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/distributed_training/cifar10_dist.py#L110-L142	train	Evaluate the accuracy of ResNet .	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) + '\061' + chr(0b110000) + chr(0b11010 + 0o27), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b10111 + 0o32) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b101 + 0o62) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(9919 - 9808) + chr(0b110010) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3980 - 3869) + '\061' + '\067' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(54) + chr(0b1100 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b101001 + 0o106) + chr(0b110101) + chr(827 - 778), 0o10), ehT0Px3KOsy9('\x30' + chr(9427 - 9316) + chr(0b110011) + chr(0b100010 + 0o16) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(49) + chr(48), 21092 - 21084), ehT0Px3KOsy9('\x30' + chr(111) + chr(1059 - 1005) + chr(1778 - 1726), 0o10), ehT0Px3KOsy9(chr(1933 - 1885) + '\x6f' + chr(2117 - 2066) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(874 - 826) + '\157' + chr(49) + '\065' + '\060', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b10110 + 0o33) + chr(51) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(11127 - 11016) + chr(50) + chr(273 - 222) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\066' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x31' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(8635 - 8524) + chr(0b11110 + 0o25) + chr(0b110001) + chr(216 - 164), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x33' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110010) + '\x31', 8308 - 8300), ehT0Px3KOsy9(chr(0b110000) + chr(10891 - 10780) + chr(0b11011 + 0o26) + '\060' + chr(0b110101), 55536 - 55528), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\061' + chr(567 - 512) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110000 + 0o6) + chr(0b101010 + 0o12), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1446 - 1395) + '\x35' + chr(50), 0b1000), ehT0Px3KOsy9(chr(843 - 795) + chr(111) + chr(0b110001) + chr(117 - 68) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b10001 + 0o37) + chr(882 - 834), 0o10), ehT0Px3KOsy9('\060' + chr(9831 - 9720) + chr(0b11000 + 0o33) + chr(0b110011) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b1111 + 0o50) + chr(0b1001 + 0o55), 0b1000), ehT0Px3KOsy9(chr(1150 - 1102) + chr(0b110010 + 0o75) + '\x31' + chr(0b101101 + 0o4) + chr(840 - 788), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(1898 - 1847) + chr(0b110100) + chr(0b110011), 2942 - 2934), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b11100 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(707 - 656) + chr(0b110110) + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4030 - 3919) + '\064' + chr(942 - 890), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1098 - 1048) + '\064' + chr(51), 0b1000), ehT0Px3KOsy9(chr(300 - 252) + '\x6f' + chr(0b101100 + 0o13) + chr(895 - 842), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(49) + chr(1641 - 1593) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + '\064' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(663 - 612) + chr(2333 - 2280) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(10505 - 10394) + '\x31' + chr(435 - 384) + chr(0b110000), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), chr(0b1001100 + 0o30) + chr(0b111101 + 0o50) + chr(5905 - 5806) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(2762 - 2645) + '\164' + '\146' + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def b_0s89WePwfs(nWuRsbJzCH9S, dg_IyTYgIdux): jIDym3yABcdT = CIVheOt0RKQX.metric.Accuracy() for (WVxHKyX45z_L, (ULnjp6D6efFH, TRUOLFLuD08x)) in YlkZvXL8qwsX(nWuRsbJzCH9S): ULnjp6D6efFH = ULnjp6D6efFH.as_in_context(oM3jLo753XfX[ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(0b100100 + 0o14), 0b1000)]) TRUOLFLuD08x = TRUOLFLuD08x.as_in_context(oM3jLo753XfX[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100101 + 0o13), 8)]) e1jVqMSBZ01Y = dg_IyTYgIdux(ULnjp6D6efFH) qIQi_VFCIFZL = Vy_CFRcuYrTj.argmax(e1jVqMSBZ01Y, axis=ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\061', 0o10)) xafqLlk3kkUe(jIDym3yABcdT, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b>:\xeb\x12\xbdc\xaa\xf1\x00zX'), chr(100) + '\x65' + '\143' + chr(0b1101100 + 0o3) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(56)))(preds=qIQi_VFCIFZL, labels=TRUOLFLuD08x) return xafqLlk3kkUe(jIDym3yABcdT, xafqLlk3kkUe(SXOLrMavuUCe(b'&/\x0f'), chr(0b1100100) + chr(0b1100101) + chr(3702 - 3603) + '\157' + chr(0b1100100) + chr(3291 - 3190))(chr(0b101100 + 0o111) + '\164' + chr(0b1100110) + chr(1027 - 982) + chr(0b101100 + 0o14)))()[ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8)]
apache/incubator-mxnet	example/distributed_training/cifar10_dist.py	train_batch	def train_batch(batch_list, context, network, gluon_trainer): """ Training with multiple GPUs Parameters ---------- batch_list: List list of dataset context: List a list of all GPUs to be used for training network: ResNet gluon_trainer: rain module of gluon """ # Split and load data into multiple GPUs data = batch_list[0] data = gluon.utils.split_and_load(data, context) # Split and load label into multiple GPUs label = batch_list[1] label = gluon.utils.split_and_load(label, context) # Run the forward and backward pass forward_backward(network, data, label) # Update the parameters this_batch_size = batch_list[0].shape[0] gluon_trainer.step(this_batch_size)	python	def train_batch(batch_list, context, network, gluon_trainer): """ Training with multiple GPUs Parameters ---------- batch_list: List list of dataset context: List a list of all GPUs to be used for training network: ResNet gluon_trainer: rain module of gluon """ # Split and load data into multiple GPUs data = batch_list[0] data = gluon.utils.split_and_load(data, context) # Split and load label into multiple GPUs label = batch_list[1] label = gluon.utils.split_and_load(label, context) # Run the forward and backward pass forward_backward(network, data, label) # Update the parameters this_batch_size = batch_list[0].shape[0] gluon_trainer.step(this_batch_size)	[ "def", "train_batch", "(", "batch_list", ",", "context", ",", "network", ",", "gluon_trainer", ")", ":", "# Split and load data into multiple GPUs", "data", "=", "batch_list", "[", "0", "]", "data", "=", "gluon", ".", "utils", ".", "split_and_load", "(", "data", ",", "context", ")", "# Split and load label into multiple GPUs", "label", "=", "batch_list", "[", "1", "]", "label", "=", "gluon", ".", "utils", ".", "split_and_load", "(", "label", ",", "context", ")", "# Run the forward and backward pass", "forward_backward", "(", "network", ",", "data", ",", "label", ")", "# Update the parameters", "this_batch_size", "=", "batch_list", "[", "0", "]", ".", "shape", "[", "0", "]", "gluon_trainer", ".", "step", "(", "this_batch_size", ")" ]	Training with multiple GPUs Parameters ---------- batch_list: List list of dataset context: List a list of all GPUs to be used for training network: ResNet gluon_trainer: rain module of gluon	[ "Training", "with", "multiple", "GPUs" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/distributed_training/cifar10_dist.py#L163-L190	train	Train a batch of data and label for a single GPU.	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(0b1101111) + chr(2477 - 2426) + chr(74 - 23) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110110) + chr(0b100010 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(216 - 166) + chr(87 - 34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1598 - 1546) + chr(234 - 186), 25308 - 25300), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110010 + 0o5) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(422 - 370) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(690 - 637), 40080 - 40072), ehT0Px3KOsy9(chr(1314 - 1266) + '\157' + '\062' + '\061' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1010000 + 0o37) + '\x31' + chr(0b110010) + '\x32', 40137 - 40129), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(0b110011) + chr(49) + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100011 + 0o23) + chr(2278 - 2224), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x36' + chr(1744 - 1695), 54144 - 54136), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + '\063', 0b1000), ehT0Px3KOsy9(chr(239 - 191) + '\157' + '\x31' + '\x31' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x34' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101010 + 0o10) + chr(54) + chr(52), 9844 - 9836), ehT0Px3KOsy9(chr(1793 - 1745) + chr(0b1101111) + '\061' + chr(0b1010 + 0o55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + '\061' + '\063' + chr(0b110110), 29119 - 29111), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1438 - 1387) + chr(51) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x36' + chr(0b10100 + 0o36), 14392 - 14384), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(52) + chr(52), 39732 - 39724), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110111) + '\065', 779 - 771), ehT0Px3KOsy9(chr(2295 - 2247) + chr(0b100010 + 0o115) + '\066' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\062', 54909 - 54901), ehT0Px3KOsy9('\060' + chr(12300 - 12189) + chr(0b110001) + chr(0b11101 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b10010 + 0o135) + chr(0b110011) + chr(0b1100 + 0o45) + '\x32', 8), ehT0Px3KOsy9(chr(1275 - 1227) + chr(0b1100001 + 0o16) + chr(0b110010) + chr(0b1 + 0o61) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b110011) + chr(0b101 + 0o53), 0o10), ehT0Px3KOsy9(chr(1226 - 1178) + '\157' + chr(161 - 110) + '\065' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4839 - 4728) + chr(190 - 141) + '\x34' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(6294 - 6183) + chr(0b10000 + 0o41) + chr(0b110 + 0o56) + chr(0b11001 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1525 - 1475) + chr(0b11011 + 0o27) + '\066', 8), ehT0Px3KOsy9('\060' + chr(8968 - 8857) + '\x33' + '\064' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o53) + chr(50) + chr(0b110011), 57698 - 57690), ehT0Px3KOsy9(chr(1367 - 1319) + chr(3484 - 3373) + chr(51) + '\065' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110 + 0o53) + '\066' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(68 - 18) + '\x35' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\x31' + chr(1742 - 1692) + '\064', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(0b11011 + 0o25), 14043 - 14035)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6'), chr(6015 - 5915) + chr(0b1001110 + 0o27) + chr(0b1010100 + 0o17) + '\157' + chr(9438 - 9338) + '\145')(chr(0b1100010 + 0o23) + chr(7441 - 7325) + chr(0b1100110) + chr(465 - 420) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def q1p5MoYGLDmX(wz_4sdSGBm6a, vUUG4_3aIqQC, dg_IyTYgIdux, DxBLyTErRS24): ULnjp6D6efFH = wz_4sdSGBm6a[ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b110000), 0b1000)] ULnjp6D6efFH = Bm3NCCYMMXjd.utils.split_and_load(ULnjp6D6efFH, vUUG4_3aIqQC) TRUOLFLuD08x = wz_4sdSGBm6a[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 0o10)] TRUOLFLuD08x = Bm3NCCYMMXjd.utils.split_and_load(TRUOLFLuD08x, vUUG4_3aIqQC) HpYfdEFwizRU(dg_IyTYgIdux, ULnjp6D6efFH, TRUOLFLuD08x) v_eLsePPSGWy = wz_4sdSGBm6a[ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)].nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(409 - 361), 8)] xafqLlk3kkUe(DxBLyTErRS24, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb35`\xe6\x0edm\xcd3\xbeUY'), '\x64' + '\145' + '\x63' + chr(9592 - 9481) + chr(0b1100100) + '\145')('\165' + chr(10916 - 10800) + chr(0b10011 + 0o123) + '\x2d' + chr(3025 - 2969)))(v_eLsePPSGWy)
apache/incubator-mxnet	python/mxnet/contrib/tensorrt.py	get_optimized_symbol	def get_optimized_symbol(executor): """ Take an executor's underlying symbol graph and return its generated optimized version. Parameters ---------- executor : An executor for which you want to see an optimized symbol. Getting an optimized symbol is useful to compare and verify the work TensorRT has done against a legacy behaviour. Returns ------- symbol : nnvm::Symbol The nnvm symbol optimized. """ handle = SymbolHandle() try: check_call(_LIB.MXExecutorGetOptimizedSymbol(executor.handle, ctypes.byref(handle))) result = sym.Symbol(handle=handle) return result except MXNetError: logging.error('Error while trying to fetch TRT optimized symbol for graph. Please ensure ' 'build was compiled with MXNET_USE_TENSORRT enabled.') raise	python	def get_optimized_symbol(executor): """ Take an executor's underlying symbol graph and return its generated optimized version. Parameters ---------- executor : An executor for which you want to see an optimized symbol. Getting an optimized symbol is useful to compare and verify the work TensorRT has done against a legacy behaviour. Returns ------- symbol : nnvm::Symbol The nnvm symbol optimized. """ handle = SymbolHandle() try: check_call(_LIB.MXExecutorGetOptimizedSymbol(executor.handle, ctypes.byref(handle))) result = sym.Symbol(handle=handle) return result except MXNetError: logging.error('Error while trying to fetch TRT optimized symbol for graph. Please ensure ' 'build was compiled with MXNET_USE_TENSORRT enabled.') raise	[ "def", "get_optimized_symbol", "(", "executor", ")", ":", "handle", "=", "SymbolHandle", "(", ")", "try", ":", "check_call", "(", "_LIB", ".", "MXExecutorGetOptimizedSymbol", "(", "executor", ".", "handle", ",", "ctypes", ".", "byref", "(", "handle", ")", ")", ")", "result", "=", "sym", ".", "Symbol", "(", "handle", "=", "handle", ")", "return", "result", "except", "MXNetError", ":", "logging", ".", "error", "(", "'Error while trying to fetch TRT optimized symbol for graph. Please ensure '", "'build was compiled with MXNET_USE_TENSORRT enabled.'", ")", "raise" ]	Take an executor's underlying symbol graph and return its generated optimized version. Parameters ---------- executor : An executor for which you want to see an optimized symbol. Getting an optimized symbol is useful to compare and verify the work TensorRT has done against a legacy behaviour. Returns ------- symbol : nnvm::Symbol The nnvm symbol optimized.	[ "Take", "an", "executor", "s", "underlying", "symbol", "graph", "and", "return", "its", "generated", "optimized", "version", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/tensorrt.py#L50-L73	train	Get an optimized version of the given executor s underlying symbol graph and return its optimized version.	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(111) + '\x32' + chr(0b110101) + '\062', 0o10), ehT0Px3KOsy9(chr(755 - 707) + '\x6f' + chr(144 - 93) + chr(0b10001 + 0o43) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x35' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b110010) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(1106 - 1056) + chr(51) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1833 - 1785) + chr(0b1101111) + chr(1130 - 1080) + chr(0b101010 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b110010) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b10001 + 0o44), 40768 - 40760), ehT0Px3KOsy9(chr(309 - 261) + '\157' + chr(0b101111 + 0o3) + '\060' + chr(0b1101 + 0o45), 0b1000), ehT0Px3KOsy9(chr(2131 - 2083) + '\157' + chr(687 - 637) + chr(50) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(11758 - 11647) + '\x31' + chr(2162 - 2107), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110101) + '\x30', 65449 - 65441), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x33' + chr(54), 8), ehT0Px3KOsy9(chr(1803 - 1755) + '\157' + chr(49) + chr(48) + '\x30', 35840 - 35832), ehT0Px3KOsy9(chr(603 - 555) + chr(111) + chr(0b110011) + chr(0b11111 + 0o23) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(52) + '\x34', 0b1000), ehT0Px3KOsy9(chr(633 - 585) + chr(11828 - 11717) + chr(51) + chr(0b110100) + chr(0b110100), 43965 - 43957), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(53) + chr(1650 - 1598), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1126 - 1077) + '\065' + chr(0b101011 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(390 - 340) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b10101 + 0o36) + chr(2149 - 2101), 17432 - 17424), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100 + 0o57) + chr(1536 - 1485) + chr(0b101001 + 0o11), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\066' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7789 - 7678) + chr(1405 - 1356) + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(82 - 33) + chr(531 - 480) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b1 + 0o57) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x34' + chr(312 - 261), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(0b110010) + chr(0b110011) + chr(54), 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\x33' + '\063' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1000101 + 0o52) + '\066', 182 - 174), ehT0Px3KOsy9(chr(518 - 470) + chr(111) + chr(51) + '\063' + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(5628 - 5517) + chr(1265 - 1215) + chr(0b110010) + chr(1402 - 1354), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110011) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1827 - 1779) + chr(9105 - 8994) + chr(0b100100 + 0o15) + chr(55) + chr(51), 50627 - 50619), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(50) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\065' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(827 - 778) + '\062' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b10011 + 0o40) + '\x37' + chr(1210 - 1162), 0o10), ehT0Px3KOsy9('\060' + chr(5963 - 5852) + '\x32' + chr(50) + chr(1918 - 1863), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100101 + 0o16) + '\064' + '\066', 26708 - 26700)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(5604 - 5493) + chr(1473 - 1420) + chr(2017 - 1969), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x84'), chr(1580 - 1480) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + chr(0b111110 + 0o47))(chr(117) + chr(116) + chr(2549 - 2447) + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def xZEgfqrkdPTu(HGfWNY210YmT): SxTuMqFZdzZx = BvpNteVB70Io() try: VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xbd\xa8\xeb\xfbufa\xed\xe5H\r\xea\x0f\xa0P\x8d\x01\x02\xab\xbd\xbe\xe3+2\xe7\x8c\xf2'), chr(2832 - 2732) + '\x65' + '\x63' + chr(732 - 621) + chr(1190 - 1090) + chr(9218 - 9117))(chr(117) + chr(116) + '\x66' + chr(0b101101) + chr(2509 - 2453)))(xafqLlk3kkUe(HGfWNY210YmT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x9d\xb9\xe6\xd3gUO\xe6\xedU\x10'), chr(0b1100100) + '\x65' + chr(0b1001 + 0o132) + chr(3197 - 3086) + chr(0b1100100) + chr(7768 - 7667))('\165' + chr(7654 - 7538) + chr(0b1010011 + 0o23) + '\055' + chr(1619 - 1563))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\x9c\x9f\xf6\xf8'), chr(0b10000 + 0o124) + chr(0b1001001 + 0o34) + chr(0b1011001 + 0o12) + chr(0b101111 + 0o100) + chr(100) + chr(0b1100101))(chr(4024 - 3907) + chr(116) + '\x66' + '\055' + '\070'))(SxTuMqFZdzZx))) ShZmEKfTkAOZ = I7QF3KlS7cYz.Symbol(handle=SxTuMqFZdzZx) return ShZmEKfTkAOZ except lDN_MzOJEFdM: xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xb0\x89\xc3\xffb\\F\xb3\xe0wX'), chr(100) + chr(0b1100101) + '\143' + chr(0b11010 + 0o125) + '\x64' + chr(7886 - 7785))(chr(117) + '\164' + chr(0b101100 + 0o72) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xef\x97\x9f\xfc\xec6d}\xeb\xfbjH\xea2\xa9M\x8a\x0bK\xa5\xb7\xfa\xd67+\xe6\x8b\xbe\x8fT\x88\xb0\xf0\x0bc\x02;\x91\xed\x83\xce\xc5\x9e\xea\xf3t\|y\xa2\xf1`\x1a\xbe'\xa2E\x94\x04E\xf1\x88\xb6\xd53,\xe0\xc3\xfb\xb5u\xa9\xe2\xfa[u\x1e?\x94\xf3\xc6\xdd\x84\x9e\xb3\xfdy~e\xeb\xfbj\x0c\xbe7\xb9P\x8cL&\x89\x96\x9f\xe4\r\n\xd6\xa6\xc1\x8fC\x92\xc3\xd0)E?v\x9d\xf9\x87\xc8\x89\x88\xf7\xb0"), chr(4748 - 4648) + '\x65' + chr(0b1100011) + chr(0b10 + 0o155) + '\x64' + chr(101))(chr(128 - 11) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b10 + 0o66))) raise
apache/incubator-mxnet	python/mxnet/contrib/tensorrt.py	tensorrt_bind	def tensorrt_bind(symbol, ctx, all_params, type_dict=None, stype_dict=None, group2ctx=None, kwargs): """Bind current symbol to get an optimized trt executor. Parameters ---------- symbol : Symbol The symbol you wish to bind, and optimize with TensorRT. ctx : Context The device context the generated executor to run on. all_params : Dict of str->ndarray A dictionary of mappings from parameter names to parameter NDArrays. type_dict : Dict of str->numpy.dtype Input type dictionary, name->dtype stype_dict : Dict of str->str Input storage type dictionary, name->storage_type group2ctx : Dict of string to mx.Context The dict mapping the `ctx_group` attribute to the context assignment. kwargs : Dict of str->shape Input shape dictionary, name->shape Returns ------- executor : mxnet.Executor An optimized TensorRT executor. """ kwargs['shared_buffer'] = all_params return symbol.simple_bind(ctx, type_dict=type_dict, stype_dict=stype_dict, group2ctx=group2ctx, kwargs)	python	def tensorrt_bind(symbol, ctx, all_params, type_dict=None, stype_dict=None, group2ctx=None, kwargs): """Bind current symbol to get an optimized trt executor. Parameters ---------- symbol : Symbol The symbol you wish to bind, and optimize with TensorRT. ctx : Context The device context the generated executor to run on. all_params : Dict of str->ndarray A dictionary of mappings from parameter names to parameter NDArrays. type_dict : Dict of str->numpy.dtype Input type dictionary, name->dtype stype_dict : Dict of str->str Input storage type dictionary, name->storage_type group2ctx : Dict of string to mx.Context The dict mapping the `ctx_group` attribute to the context assignment. kwargs : Dict of str->shape Input shape dictionary, name->shape Returns ------- executor : mxnet.Executor An optimized TensorRT executor. """ kwargs['shared_buffer'] = all_params return symbol.simple_bind(ctx, type_dict=type_dict, stype_dict=stype_dict, group2ctx=group2ctx, kwargs)	[ "def", "tensorrt_bind", "(", "symbol", ",", "ctx", ",", "all_params", ",", "type_dict", "=", "None", ",", "stype_dict", "=", "None", ",", "group2ctx", "=", "None", ",", "", "", "kwargs", ")", ":", "kwargs", "[", "'shared_buffer'", "]", "=", "all_params", "return", "symbol", ".", "simple_bind", "(", "ctx", ",", "type_dict", "=", "type_dict", ",", "stype_dict", "=", "stype_dict", ",", "group2ctx", "=", "group2ctx", ",", "", "", "kwargs", ")" ]	Bind current symbol to get an optimized trt executor. Parameters ---------- symbol : Symbol The symbol you wish to bind, and optimize with TensorRT. ctx : Context The device context the generated executor to run on. all_params : Dict of str->ndarray A dictionary of mappings from parameter names to parameter NDArrays. type_dict : Dict of str->numpy.dtype Input type dictionary, name->dtype stype_dict : Dict of str->str Input storage type dictionary, name->storage_type group2ctx : Dict of string to mx.Context The dict mapping the `ctx_group` attribute to the context assignment. kwargs : Dict of str->shape Input shape dictionary, name->shape Returns ------- executor : mxnet.Executor An optimized TensorRT executor.	[ "Bind", "current", "symbol", "to", "get", "an", "optimized", "trt", "executor", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/tensorrt.py#L76-L110	train	Bind a symbol to an optimized TensorRT executor.	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(0b100100 + 0o14) + chr(111) + chr(0b11011 + 0o30) + '\x30' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + '\061' + chr(61 - 9) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\x30' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(54) + '\x32', 0o10), ehT0Px3KOsy9(chr(1572 - 1524) + '\x6f' + chr(0b110100 + 0o3), 0o10), ehT0Px3KOsy9(chr(678 - 630) + '\157' + chr(1207 - 1156) + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(2152 - 2104) + '\x6f' + chr(0b100 + 0o56) + chr(842 - 790), 5192 - 5184), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(0b101010 + 0o11) + chr(0b110010) + chr(883 - 835), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11011 + 0o26) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(1852 - 1802) + '\x31', 34021 - 34013), ehT0Px3KOsy9(chr(0b110000) + chr(5346 - 5235) + '\067' + chr(0b100111 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + chr(3920 - 3809) + chr(50) + chr(0b100101 + 0o17) + '\x33', 0b1000), ehT0Px3KOsy9(chr(465 - 417) + chr(0b1000001 + 0o56) + chr(0b110001) + chr(0b100110 + 0o16) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(55) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1084 - 1036) + chr(0b1101000 + 0o7) + chr(0b110 + 0o56) + chr(0b1 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(281 - 170) + chr(0b100101 + 0o16) + chr(0b11000 + 0o33) + chr(2867 - 2813), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1240 - 1190) + '\x36' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1641 - 1593) + '\x6f' + '\063' + chr(0b110001) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\062' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\066' + '\064', 55207 - 55199), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b111 + 0o53) + chr(0b100010 + 0o22) + '\x33', 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b11111 + 0o120) + chr(265 - 216) + '\x32' + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(49) + chr(0b110010 + 0o4), 20318 - 20310), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\064' + chr(1835 - 1784), 60697 - 60689), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(52), 27009 - 27001), ehT0Px3KOsy9(chr(2245 - 2197) + chr(111) + '\x32' + chr(0b110001) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + '\061' + '\x35' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b110010 + 0o75) + chr(1708 - 1659) + chr(54) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1100 + 0o45) + chr(0b101110 + 0o7) + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9(chr(1927 - 1879) + chr(0b1101111) + '\061' + chr(193 - 141) + chr(0b110000), 26158 - 26150), ehT0Px3KOsy9(chr(1856 - 1808) + chr(0b1100001 + 0o16) + chr(49) + '\x34' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\x31' + chr(0b110111) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1044 - 996) + chr(111) + '\062' + '\067' + '\066', 62137 - 62129), ehT0Px3KOsy9(chr(719 - 671) + '\157' + chr(0b110010) + chr(539 - 488) + chr(955 - 900), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(52) + chr(1204 - 1155), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o40), 0b1000), ehT0Px3KOsy9('\060' + chr(3999 - 3888) + chr(0b101011 + 0o7) + chr(0b110011) + chr(2661 - 2609), 0b1000), ehT0Px3KOsy9('\x30' + chr(1665 - 1554) + chr(52) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101001 + 0o14) + '\x30', 50563 - 50555)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xea'), chr(4597 - 4497) + '\x65' + '\143' + '\157' + '\x64' + '\x65')('\165' + '\164' + '\x66' + chr(0b100000 + 0o15) + chr(0b11100 + 0o34)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def oCaaCbFEkBRG(Usr5ykvL2UZF, oM3jLo753XfX, oIAIERBAR2uz, p4kIWNblx_FU=None, pnIbxeD0kxeU=None, hrkp4hBGw6sc=None, M8EIoTs2GJXE): M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\rH\xf5\xd7c\x8dv\xa5n\xf7Z\xd1'), chr(0b1100100) + chr(0b11010 + 0o113) + '\x63' + '\157' + chr(0b1100100) + chr(0b1000011 + 0o42))(chr(0b101101 + 0o110) + chr(116) + '\x66' + chr(224 - 179) + chr(56))] = oIAIERBAR2uz return xafqLlk3kkUe(Usr5ykvL2UZF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\x0cD\xf7\xdeb\x8dv\xb9f\xf5'), chr(0b1010101 + 0o17) + '\x65' + chr(0b111110 + 0o45) + chr(0b111111 + 0o60) + chr(1413 - 1313) + chr(0b1010 + 0o133))('\165' + chr(4509 - 4393) + '\146' + chr(0b100100 + 0o11) + '\x38'))(oM3jLo753XfX, type_dict=p4kIWNblx_FU, stype_dict=pnIbxeD0kxeU, group2ctx=hrkp4hBGw6sc, M8EIoTs2GJXE)
apache/incubator-mxnet	example/image-classification/symbols/vgg.py	get_symbol	def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype='float32', **kwargs): """ Parameters ---------- num_classes : int, default 1000 Number of classification classes. num_layers : int Number of layers for the variant of densenet. Options are 11, 13, 16, 19. batch_norm : bool, default False Use batch normalization. dtype: str, float32 or float16 Data precision. """ vgg_spec = {11: ([1, 1, 2, 2, 2], [64, 128, 256, 512, 512]), 13: ([2, 2, 2, 2, 2], [64, 128, 256, 512, 512]), 16: ([2, 2, 3, 3, 3], [64, 128, 256, 512, 512]), 19: ([2, 2, 4, 4, 4], [64, 128, 256, 512, 512])} if num_layers not in vgg_spec: raise ValueError("Invalide num_layers {}. Possible choices are 11,13,16,19.".format(num_layers)) layers, filters = vgg_spec[num_layers] data = mx.sym.Variable(name="data") if dtype == 'float16': data = mx.sym.Cast(data=data, dtype=np.float16) feature = get_feature(data, layers, filters, batch_norm) classifier = get_classifier(feature, num_classes) if dtype == 'float16': classifier = mx.sym.Cast(data=classifier, dtype=np.float32) symbol = mx.sym.SoftmaxOutput(data=classifier, name='softmax') return symbol	python	def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype='float32', **kwargs): """ Parameters ---------- num_classes : int, default 1000 Number of classification classes. num_layers : int Number of layers for the variant of densenet. Options are 11, 13, 16, 19. batch_norm : bool, default False Use batch normalization. dtype: str, float32 or float16 Data precision. """ vgg_spec = {11: ([1, 1, 2, 2, 2], [64, 128, 256, 512, 512]), 13: ([2, 2, 2, 2, 2], [64, 128, 256, 512, 512]), 16: ([2, 2, 3, 3, 3], [64, 128, 256, 512, 512]), 19: ([2, 2, 4, 4, 4], [64, 128, 256, 512, 512])} if num_layers not in vgg_spec: raise ValueError("Invalide num_layers {}. Possible choices are 11,13,16,19.".format(num_layers)) layers, filters = vgg_spec[num_layers] data = mx.sym.Variable(name="data") if dtype == 'float16': data = mx.sym.Cast(data=data, dtype=np.float16) feature = get_feature(data, layers, filters, batch_norm) classifier = get_classifier(feature, num_classes) if dtype == 'float16': classifier = mx.sym.Cast(data=classifier, dtype=np.float32) symbol = mx.sym.SoftmaxOutput(data=classifier, name='softmax') return symbol	[ "def", "get_symbol", "(", "num_classes", ",", "num_layers", "=", "11", ",", "batch_norm", "=", "False", ",", "dtype", "=", "'float32'", ",", "", "", "kwargs", ")", ":", "vgg_spec", "=", "{", "11", ":", "(", "[", "1", ",", "1", ",", "2", ",", "2", ",", "2", "]", ",", "[", "64", ",", "128", ",", "256", ",", "512", ",", "512", "]", ")", ",", "13", ":", "(", "[", "2", ",", "2", ",", "2", ",", "2", ",", "2", "]", ",", "[", "64", ",", "128", ",", "256", ",", "512", ",", "512", "]", ")", ",", "16", ":", "(", "[", "2", ",", "2", ",", "3", ",", "3", ",", "3", "]", ",", "[", "64", ",", "128", ",", "256", ",", "512", ",", "512", "]", ")", ",", "19", ":", "(", "[", "2", ",", "2", ",", "4", ",", "4", ",", "4", "]", ",", "[", "64", ",", "128", ",", "256", ",", "512", ",", "512", "]", ")", "}", "if", "num_layers", "not", "in", "vgg_spec", ":", "raise", "ValueError", "(", "\"Invalide num_layers {}. Possible choices are 11,13,16,19.\"", ".", "format", "(", "num_layers", ")", ")", "layers", ",", "filters", "=", "vgg_spec", "[", "num_layers", "]", "data", "=", "mx", ".", "sym", ".", "Variable", "(", "name", "=", "\"data\"", ")", "if", "dtype", "==", "'float16'", ":", "data", "=", "mx", ".", "sym", ".", "Cast", "(", "data", "=", "data", ",", "dtype", "=", "np", ".", "float16", ")", "feature", "=", "get_feature", "(", "data", ",", "layers", ",", "filters", ",", "batch_norm", ")", "classifier", "=", "get_classifier", "(", "feature", ",", "num_classes", ")", "if", "dtype", "==", "'float16'", ":", "classifier", "=", "mx", ".", "sym", ".", "Cast", "(", "data", "=", "classifier", ",", "dtype", "=", "np", ".", "float32", ")", "symbol", "=", "mx", ".", "sym", ".", "SoftmaxOutput", "(", "data", "=", "classifier", ",", "name", "=", "'softmax'", ")", "return", "symbol" ]	Parameters ---------- num_classes : int, default 1000 Number of classification classes. num_layers : int Number of layers for the variant of densenet. Options are 11, 13, 16, 19. batch_norm : bool, default False Use batch normalization. dtype: str, float32 or float16 Data precision.	[ "Parameters", "----------", "num_classes", ":", "int", "default", "1000", "Number", "of", "classification", "classes", ".", "num_layers", ":", "int", "Number", "of", "layers", "for", "the", "variant", "of", "densenet", ".", "Options", "are", "11", "13", "16", "19", ".", "batch_norm", ":", "bool", "default", "False", "Use", "batch", "normalization", ".", "dtype", ":", "str", "float32", "or", "float16", "Data", "precision", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/image-classification/symbols/vgg.py#L48-L76	train	Returns a symbol for the densenet.	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(2134 - 2083) + '\x32' + '\062', 0o10), ehT0Px3KOsy9(chr(461 - 413) + '\157' + '\x33' + '\064' + chr(50), 51785 - 51777), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100010 + 0o20) + '\x34' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b110001) + chr(53) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x33' + chr(0b100 + 0o63), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(48) + chr(1366 - 1311), 0o10), ehT0Px3KOsy9(chr(48) + chr(7863 - 7752) + '\062' + '\061' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(51) + chr(99 - 51) + '\063', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(2375 - 2324) + '\x32', 51078 - 51070), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\066' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b1101 + 0o46) + '\061' + chr(0b1011 + 0o45), 62589 - 62581), ehT0Px3KOsy9(chr(427 - 379) + '\157' + '\x33' + '\x35' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b11101 + 0o24) + '\x37', 54811 - 54803), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1349 - 1300) + chr(2027 - 1974) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101000 + 0o7) + '\x31' + '\060' + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9(chr(2180 - 2132) + chr(5771 - 5660) + chr(0b110001) + chr(611 - 563) + chr(0b101110 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + '\x31' + chr(1412 - 1361) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(50) + '\x34' + chr(48), 23543 - 23535), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(11482 - 11371) + '\061' + chr(52) + chr(0b110011 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(5045 - 4934) + '\065' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(0b10110 + 0o40) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(1628 - 1517) + chr(0b110110) + chr(231 - 178), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 63636 - 63628), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(53), 0o10), ehT0Px3KOsy9(chr(1086 - 1038) + '\157' + chr(0b110001) + chr(0b110101) + chr(0b11011 + 0o27), 0o10), ehT0Px3KOsy9(chr(1804 - 1756) + chr(0b1001010 + 0o45) + '\x33' + '\x30' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + '\x33' + '\066' + chr(83 - 35), 0o10), ehT0Px3KOsy9(chr(791 - 743) + '\x6f' + chr(0b1000 + 0o53) + chr(0b110100) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(55) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110001) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110010 + 0o1) + chr(2876 - 2821), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1356 - 1306) + chr(0b110 + 0o53) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110101) + chr(0b11000 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + chr(9653 - 9542) + '\x33' + '\x35' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(872 - 822) + '\x31' + chr(1254 - 1203), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b100011 + 0o114) + chr(0b101011 + 0o7) + '\063' + '\065', 0b1000), ehT0Px3KOsy9(chr(226 - 178) + chr(111) + chr(831 - 780) + '\061' + chr(738 - 688), 4826 - 4818), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + chr(50) + '\065' + chr(1605 - 1556), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(51) + chr(0b1110 + 0o46) + '\064', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(4010 - 3899) + chr(533 - 480) + chr(1727 - 1679), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), chr(0b110010 + 0o62) + chr(0b111100 + 0o51) + chr(0b0 + 0o143) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b1110 + 0o37) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Rc2yr7B7_1Tw(i6loyAgxUM2t, uftkTXJyNORO=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x33', 0o10), NA3RHDNXnGdK=ehT0Px3KOsy9('\060' + chr(11428 - 11317) + '\060', 8), jSV9IKnemH7K=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x8e\xcb\t+\xb4\xb8'), '\x64' + chr(0b1100101) + chr(0b11 + 0o140) + '\157' + chr(0b111000 + 0o54) + chr(1541 - 1440))(chr(0b1010001 + 0o44) + '\x74' + chr(0b1100110) + chr(0b1011 + 0o42) + chr(0b10010 + 0o46)), **M8EIoTs2GJXE): aIoLC8eGyoOP = {ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\x31' + chr(0b110011), 8): ([ehT0Px3KOsy9(chr(1348 - 1300) + chr(9252 - 9141) + chr(2365 - 2316), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50), 0b1000), ehT0Px3KOsy9(chr(751 - 703) + chr(0b11001 + 0o126) + '\062', 8), ehT0Px3KOsy9('\060' + chr(2266 - 2155) + chr(0b110010), 8)], [ehT0Px3KOsy9('\x30' + chr(0b111110 + 0o61) + '\x31' + chr(1538 - 1490) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(48) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(7366 - 7255) + chr(52) + chr(48) + chr(0b11101 + 0o23), 0b1000), ehT0Px3KOsy9(chr(851 - 803) + chr(111) + chr(756 - 707) + chr(48) + chr(0b110000) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(49) + chr(48) + '\060' + chr(0b110000), 8)]), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + '\061' + chr(0b110101), ord("\x08")): ([ehT0Px3KOsy9(chr(1707 - 1659) + chr(0b1010010 + 0o35) + '\062', 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32', 8), ehT0Px3KOsy9(chr(48) + chr(4959 - 4848) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010), 8)], [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\060' + chr(1580 - 1532), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1331 - 1220) + chr(0b110010 + 0o0) + chr(48) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(1308 - 1256) + chr(0b110000) + chr(48), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1001011 + 0o44) + chr(49) + chr(167 - 119) + chr(0b10001 + 0o37) + chr(48), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(2147 - 2099) + '\060' + '\060', 8)]), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + '\x32' + '\x30', 0b1000): ([ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11100 + 0o26), 8), ehT0Px3KOsy9('\x30' + '\157' + '\062', 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(313 - 262), 15922 - 15914), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(51), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b110011 + 0o0), 8)], [ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + '\x31' + '\x30' + chr(48), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2305 - 2255) + chr(0b110000) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o32) + chr(940 - 892) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b101110 + 0o2) + chr(48) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b101 + 0o53) + chr(0b100111 + 0o11) + '\060', 8)]), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(2055 - 2005) + chr(0b101111 + 0o4), 0b1000): ([ehT0Px3KOsy9('\060' + chr(1177 - 1066) + chr(1567 - 1517), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(50), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(1953 - 1901), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b100010 + 0o115) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(0b1010111 + 0o30) + chr(0b110100), 8)], [ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110000) + chr(234 - 186), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(113 - 63) + '\x30' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(9543 - 9432) + chr(1920 - 1868) + chr(0b100 + 0o54) + chr(1569 - 1521), 8), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b11110 + 0o22) + chr(1236 - 1188) + chr(48), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x30' + '\x30' + chr(0b10100 + 0o34), 8)])} if uftkTXJyNORO not in aIoLC8eGyoOP: raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x8c\xd2\t3\xee\xee\xa6:\x99\xbd\x85\x90\x07$:;\xd2\x10\x0bOH.=:\xab\x83\x94W\x99\xa7:\xab\xcb\x80\xe4\xf4\xa9\xcc\x97\xf2\x83\xd6\r\x7f\xb6\xbb\xef+\xc4\xe4\xd9\xf9Gtzp'), chr(0b1100100) + chr(0b1100101) + chr(0b110000 + 0o63) + '\x6f' + '\144' + '\145')('\165' + chr(1049 - 933) + chr(0b1100110) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xd6\xd6\x07\x17\xe6\xd9\xf0J\x87\xad\x82'), chr(9800 - 9700) + chr(101) + '\143' + '\157' + '\x64' + chr(264 - 163))(chr(13541 - 13424) + '\x74' + '\146' + '\055' + chr(3052 - 2996)))(uftkTXJyNORO)) (sGi5Aql23May, MErh319F3bgE) = aIoLC8eGyoOP[uftkTXJyNORO] ULnjp6D6efFH = CIVheOt0RKQX.sym.Variable(name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\x83\xd0\t'), '\144' + chr(0b11100 + 0o111) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101 + 0o0))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000))) if jSV9IKnemH7K == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x8e\xcb\t+\xb6\xbc'), chr(0b1100100) + chr(101) + chr(2918 - 2819) + '\x6f' + chr(7981 - 7881) + '\x65')('\165' + chr(8426 - 8310) + '\x66' + '\x2d' + '\070'): ULnjp6D6efFH = CIVheOt0RKQX.sym.Cast(data=ULnjp6D6efFH, dtype=WqUC3KWvYVup.float16) fVxZREPfp9Oo = Fg8oVsLp22Fb(ULnjp6D6efFH, sGi5Aql23May, MErh319F3bgE, NA3RHDNXnGdK) zHj5x37F5hjO = ePdE6ETIMdD1(fVxZREPfp9Oo, i6loyAgxUM2t) if jSV9IKnemH7K == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x8e\xcb\t+\xb6\xbc'), '\x64' + chr(0b110010 + 0o63) + chr(0b1010011 + 0o20) + chr(0b1101111) + '\144' + chr(0b111000 + 0o55))(chr(0b1110101) + '\164' + chr(102) + chr(0b100 + 0o51) + chr(56)): zHj5x37F5hjO = CIVheOt0RKQX.sym.Cast(data=zHj5x37F5hjO, dtype=WqUC3KWvYVup.float32) Usr5ykvL2UZF = CIVheOt0RKQX.sym.SoftmaxOutput(data=zHj5x37F5hjO, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x8d\xc2\x1c2\xe6\xf2'), chr(0b1001111 + 0o25) + '\x65' + chr(0b110100 + 0o57) + chr(11900 - 11789) + chr(4453 - 4353) + chr(2965 - 2864))(chr(0b1110101) + chr(646 - 530) + chr(0b1100001 + 0o5) + '\x2d' + chr(0b0 + 0o70))) return Usr5ykvL2UZF
apache/incubator-mxnet	example/ssd/detect/detector.py	Detector.create_batch	def create_batch(self, frame): """ :param frame: an (w,h,channels) numpy array (image) :return: DataBatch of (1,channels,data_shape,data_shape) """ frame_resize = mx.nd.array(cv2.resize(frame, (self.data_shape[0], self.data_shape[1]))) #frame_resize = mx.img.imresize(frame, self.data_shape[0], self.data_shape[1], cv2.INTER_LINEAR) # Change dimensions from (w,h,channels) to (channels, w, h) frame_t = mx.nd.transpose(frame_resize, axes=(2,0,1)) frame_norm = frame_t - self.mean_pixels_nd # Add dimension for batch, results in (1,channels,w,h) batch_frame = [mx.nd.expand_dims(frame_norm, axis=0)] batch_shape = [DataDesc('data', batch_frame[0].shape)] batch = DataBatch(data=batch_frame, provide_data=batch_shape) return batch	python	def create_batch(self, frame): """ :param frame: an (w,h,channels) numpy array (image) :return: DataBatch of (1,channels,data_shape,data_shape) """ frame_resize = mx.nd.array(cv2.resize(frame, (self.data_shape[0], self.data_shape[1]))) #frame_resize = mx.img.imresize(frame, self.data_shape[0], self.data_shape[1], cv2.INTER_LINEAR) # Change dimensions from (w,h,channels) to (channels, w, h) frame_t = mx.nd.transpose(frame_resize, axes=(2,0,1)) frame_norm = frame_t - self.mean_pixels_nd # Add dimension for batch, results in (1,channels,w,h) batch_frame = [mx.nd.expand_dims(frame_norm, axis=0)] batch_shape = [DataDesc('data', batch_frame[0].shape)] batch = DataBatch(data=batch_frame, provide_data=batch_shape) return batch	[ "def", "create_batch", "(", "self", ",", "frame", ")", ":", "frame_resize", "=", "mx", ".", "nd", ".", "array", "(", "cv2", ".", "resize", "(", "frame", ",", "(", "self", ".", "data_shape", "[", "0", "]", ",", "self", ".", "data_shape", "[", "1", "]", ")", ")", ")", "#frame_resize = mx.img.imresize(frame, self.data_shape[0], self.data_shape[1], cv2.INTER_LINEAR)", "# Change dimensions from (w,h,channels) to (channels, w, h)", "frame_t", "=", "mx", ".", "nd", ".", "transpose", "(", "frame_resize", ",", "axes", "=", "(", "2", ",", "0", ",", "1", ")", ")", "frame_norm", "=", "frame_t", "-", "self", ".", "mean_pixels_nd", "# Add dimension for batch, results in (1,channels,w,h)", "batch_frame", "=", "[", "mx", ".", "nd", ".", "expand_dims", "(", "frame_norm", ",", "axis", "=", "0", ")", "]", "batch_shape", "=", "[", "DataDesc", "(", "'data'", ",", "batch_frame", "[", "0", "]", ".", "shape", ")", "]", "batch", "=", "DataBatch", "(", "data", "=", "batch_frame", ",", "provide_data", "=", "batch_shape", ")", "return", "batch" ]	:param frame: an (w,h,channels) numpy array (image) :return: DataBatch of (1,channels,data_shape,data_shape)	[ ":", "param", "frame", ":", "an", "(", "w", "h", "channels", ")", "numpy", "array", "(", "image", ")", ":", "return", ":", "DataBatch", "of", "(", "1", "channels", "data_shape", "data_shape", ")" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/detect/detector.py#L66-L80	train	Create a DataBatch of the same shape as the input image	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(0b1010 + 0o46) + '\x6f' + '\x31' + chr(54) + chr(2154 - 2101), 0b1000), ehT0Px3KOsy9(chr(1300 - 1252) + chr(0b1101111) + chr(50) + '\x30' + chr(0b11000 + 0o31), 10487 - 10479), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(336 - 285) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(2027 - 1974), 4873 - 4865), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(0b110011) + chr(0b11011 + 0o25) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + chr(0b0 + 0o61) + chr(1576 - 1521) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + '\062' + chr(53) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + chr(0b10001 + 0o41), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(2458 - 2407) + chr(1168 - 1113), 0b1000), ehT0Px3KOsy9('\x30' + chr(6478 - 6367) + '\x34' + '\x34', 17743 - 17735), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b101110 + 0o2) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b10101 + 0o34) + '\060' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(4680 - 4569) + chr(0b110000 + 0o3) + '\x30' + chr(1293 - 1243), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x33' + chr(0b100111 + 0o13), 0b1000), ehT0Px3KOsy9(chr(340 - 292) + chr(0b1101 + 0o142) + chr(1874 - 1820) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\x33' + chr(0b110111) + '\060', 60385 - 60377), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(8986 - 8875) + chr(50) + '\063' + '\x37', 31658 - 31650), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\x31' + chr(0b110011) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b1010 + 0o55) + chr(2078 - 2024), ord("\x08")), ehT0Px3KOsy9(chr(1375 - 1327) + '\x6f' + '\x34' + chr(899 - 846), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(873 - 818) + chr(157 - 109), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b11110 + 0o121) + chr(135 - 85) + '\x30' + '\061', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110101) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b111 + 0o150) + chr(0b110001) + chr(0b10000 + 0o46) + chr(0b110001 + 0o3), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1111 + 0o43) + chr(1481 - 1433), 56419 - 56411), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x34' + chr(0b1111 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b110011) + '\066' + chr(52), 6379 - 6371), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b101100 + 0o7) + chr(557 - 508) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(2019 - 1968) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1010 + 0o47) + '\063' + chr(53), 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\063' + chr(0b110101) + chr(0b110101), 63399 - 63391), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11000 + 0o31) + chr(0b10101 + 0o34) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(304 - 255) + chr(0b110101) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1734 - 1686) + chr(0b11 + 0o154) + chr(0b110010) + chr(823 - 771) + chr(604 - 556), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(0b11111 + 0o22) + chr(54), 32153 - 32145), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\063' + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(1576 - 1526) + '\x30' + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110010) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1700 - 1652) + chr(111) + '\062' + chr(50), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(5231 - 5120) + chr(1857 - 1804) + chr(1963 - 1915), 14755 - 14747)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'['), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + '\145')(chr(117) + chr(0b1101010 + 0o12) + chr(102) + chr(0b101101) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def fmNxWAoJgr7W(oVre8I6UXc3b, C4IqNNmLfHXB): amrsgve8_QyQ = CIVheOt0RKQX.nd.B0ePDhpqxN5n(KJXrc9aHu3IJ.resize(C4IqNNmLfHXB, (oVre8I6UXc3b.l48nAKgbtcOz[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 39733 - 39725)], oVre8I6UXc3b.l48nAKgbtcOz[ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(712 - 663), 49373 - 49365)]))) Q8dVfJGBprsP = CIVheOt0RKQX.nd.transpose(amrsgve8_QyQ, axes=(ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + '\062', 21656 - 21648), ehT0Px3KOsy9(chr(534 - 486) + '\x6f' + chr(0b10100 + 0o34), 8), ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(0b11100 + 0o25), 8))) ehzplt8yy88t = Q8dVfJGBprsP - oVre8I6UXc3b.mean_pixels_nd i6MaVudy2A45 = [CIVheOt0RKQX.nd.expand_dims(ehzplt8yy88t, axis=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000), 8))] yDHuPlwSx8Xt = [QGNCb0u8kPLl(xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\xe0\xeal'), chr(5999 - 5899) + chr(9473 - 9372) + chr(6102 - 6003) + chr(0b100001 + 0o116) + chr(0b1100100) + chr(3155 - 3054))(chr(0b110110 + 0o77) + '\164' + '\146' + chr(0b101101) + chr(886 - 830)), i6MaVudy2A45[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 8)].nauYfLglTpcb)] dNwAahu8tvoY = qiHoopmxV1jh(data=i6MaVudy2A45, provide_data=yDHuPlwSx8Xt) return dNwAahu8tvoY
apache/incubator-mxnet	example/ssd/detect/detector.py	Detector.detect_iter	def detect_iter(self, det_iter, show_timer=False): """ detect all images in iterator Parameters: ---------- det_iter : DetIter iterator for all testing images show_timer : Boolean whether to print out detection exec time Returns: ---------- list of detection results """ num_images = det_iter._size if not isinstance(det_iter, mx.io.PrefetchingIter): det_iter = mx.io.PrefetchingIter(det_iter) start = timer() detections = self.mod.predict(det_iter).asnumpy() time_elapsed = timer() - start if show_timer: logging.info("Detection time for {} images: {:.4f} sec".format( num_images, time_elapsed)) result = Detector.filter_positive_detections(detections) return result	python	def detect_iter(self, det_iter, show_timer=False): """ detect all images in iterator Parameters: ---------- det_iter : DetIter iterator for all testing images show_timer : Boolean whether to print out detection exec time Returns: ---------- list of detection results """ num_images = det_iter._size if not isinstance(det_iter, mx.io.PrefetchingIter): det_iter = mx.io.PrefetchingIter(det_iter) start = timer() detections = self.mod.predict(det_iter).asnumpy() time_elapsed = timer() - start if show_timer: logging.info("Detection time for {} images: {:.4f} sec".format( num_images, time_elapsed)) result = Detector.filter_positive_detections(detections) return result	[ "def", "detect_iter", "(", "self", ",", "det_iter", ",", "show_timer", "=", "False", ")", ":", "num_images", "=", "det_iter", ".", "_size", "if", "not", "isinstance", "(", "det_iter", ",", "mx", ".", "io", ".", "PrefetchingIter", ")", ":", "det_iter", "=", "mx", ".", "io", ".", "PrefetchingIter", "(", "det_iter", ")", "start", "=", "timer", "(", ")", "detections", "=", "self", ".", "mod", ".", "predict", "(", "det_iter", ")", ".", "asnumpy", "(", ")", "time_elapsed", "=", "timer", "(", ")", "-", "start", "if", "show_timer", ":", "logging", ".", "info", "(", "\"Detection time for {} images: {:.4f} sec\"", ".", "format", "(", "num_images", ",", "time_elapsed", ")", ")", "result", "=", "Detector", ".", "filter_positive_detections", "(", "detections", ")", "return", "result" ]	detect all images in iterator Parameters: ---------- det_iter : DetIter iterator for all testing images show_timer : Boolean whether to print out detection exec time Returns: ---------- list of detection results	[ "detect", "all", "images", "in", "iterator" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/detect/detector.py#L82-L107	train	Detect all images in iterator and return a list of detections.	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(790 - 742) + chr(0b1101111) + chr(0b110001) + chr(2559 - 2506), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(270 - 221) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b10000 + 0o42) + '\061' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(913 - 864) + chr(0b0 + 0o62) + chr(1606 - 1554), 4128 - 4120), ehT0Px3KOsy9(chr(48) + chr(111) + chr(287 - 235) + chr(709 - 660), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + '\067' + chr(1561 - 1509), 33680 - 33672), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(53), 0b1000), ehT0Px3KOsy9(chr(485 - 437) + '\x6f' + chr(0b10010 + 0o37) + chr(0b110011) + chr(811 - 760), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o44) + chr(0b10110 + 0o33) + '\060', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110010) + chr(0b11001 + 0o34) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(53) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + '\x33' + chr(0b110001) + chr(48), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(5137 - 5026) + '\063' + chr(2627 - 2574) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(2165 - 2115) + chr(48) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(50) + chr(594 - 541), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9885 - 9774) + chr(0b110001) + chr(0b110100) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110110) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(49) + chr(1475 - 1420) + chr(754 - 700), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(2363 - 2313), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(207 - 156) + chr(54) + chr(0b11 + 0o60), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110 + 0o53) + chr(0b100000 + 0o25), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11209 - 11098) + chr(2003 - 1954) + '\067' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8994 - 8883) + chr(0b110011) + chr(437 - 382) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1328 - 1280) + '\157' + chr(0b110001) + '\061' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b110001) + chr(1451 - 1403) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(53) + chr(0b10110 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(1796 - 1747) + chr(426 - 378) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2386 - 2331) + chr(1040 - 987), ord("\x08")), ehT0Px3KOsy9(chr(701 - 653) + chr(0b1101111) + chr(0b101 + 0o56) + '\061' + chr(632 - 580), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(1642 - 1589) + chr(0b10010 + 0o37), 12439 - 12431), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1683 - 1633), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b110000 + 0o77) + '\061' + chr(2337 - 2287) + chr(52), 8), ehT0Px3KOsy9(chr(326 - 278) + chr(3602 - 3491) + '\061' + '\x32' + chr(0b110001 + 0o0), 0b1000), ehT0Px3KOsy9(chr(1319 - 1271) + '\157' + '\x31' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(8388 - 8277) + chr(49) + chr(1295 - 1246) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b100001 + 0o20) + chr(1953 - 1902) + '\062', 45061 - 45053), ehT0Px3KOsy9('\x30' + chr(10742 - 10631) + chr(0b101010 + 0o12) + chr(0b10010 + 0o42), 20935 - 20927), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(1207 - 1152) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o34) + '\064', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(1932 - 1884), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'#'), chr(100) + '\145' + '\143' + chr(1150 - 1039) + chr(100) + chr(101))('\165' + chr(0b110001 + 0o103) + chr(102) + chr(0b101101) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def DwCnJq9nFjio(oVre8I6UXc3b, teUJ88LKyR6x, BFWnZTidl2kD=ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(2026 - 1978), 0o10)): xf2cgVKUh6ft = teUJ88LKyR6x._size if not PlSM16l2KDPD(teUJ88LKyR6x, xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b']\xfe\xee2DHv3\xa1\xc6\r\x81y\x89\xf1'), '\x64' + chr(3578 - 3477) + '\x63' + '\x6f' + chr(0b110011 + 0o61) + '\x65')(chr(0b1110101) + chr(6045 - 5929) + '\x66' + chr(45) + chr(0b100000 + 0o30)))): teUJ88LKyR6x = CIVheOt0RKQX.io.PrefetchingIter(teUJ88LKyR6x) avRbFsnfJxQj = gY2Es2eMB1I_() rH0oaknbL_Cd = oVre8I6UXc3b.mod.predict(teUJ88LKyR6x).asnumpy() nzVQEKD9ucT1 = gY2Es2eMB1I_() - avRbFsnfJxQj if BFWnZTidl2kD: xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbb\xc3,T_rl\xa2\xc40\xa3'), chr(0b1011110 + 0o6) + '\145' + '\143' + '\x6f' + '\144' + chr(101))(chr(6413 - 6296) + chr(12326 - 12210) + chr(0b1010111 + 0o17) + chr(0b101101) + chr(2594 - 2538)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'I\xe9\xff1BH\|4\xa6\x88\x1e\xa1`\x89\xa33\x0b\x04^q\x8e\xad\x16\x92.%\x0b3\x07\xec\xd28zeh5zW\x1do'), '\144' + chr(0b11101 + 0o110) + '\143' + chr(6089 - 5978) + '\144' + chr(0b101110 + 0o67))('\x75' + chr(116) + '\146' + chr(1054 - 1009) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'[\xb8\xf9;i]Fh\x98\xd8\x0f\xa2'), chr(0b1111 + 0o125) + '\145' + chr(99) + chr(2733 - 2622) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(56)))(xf2cgVKUh6ft, nzVQEKD9ucT1)) ShZmEKfTkAOZ = X7eUPgmKjrCY.filter_positive_detections(rH0oaknbL_Cd) return ShZmEKfTkAOZ
apache/incubator-mxnet	example/ssd/detect/detector.py	Detector.detect_batch	def detect_batch(self, batch): """ Return detections for batch :param batch: :return: """ self.mod.forward(batch, is_train=False) detections = self.mod.get_outputs()[0] positive_detections = Detector.filter_positive_detections(detections) return positive_detections	python	def detect_batch(self, batch): """ Return detections for batch :param batch: :return: """ self.mod.forward(batch, is_train=False) detections = self.mod.get_outputs()[0] positive_detections = Detector.filter_positive_detections(detections) return positive_detections	[ "def", "detect_batch", "(", "self", ",", "batch", ")", ":", "self", ".", "mod", ".", "forward", "(", "batch", ",", "is_train", "=", "False", ")", "detections", "=", "self", ".", "mod", ".", "get_outputs", "(", ")", "[", "0", "]", "positive_detections", "=", "Detector", ".", "filter_positive_detections", "(", "detections", ")", "return", "positive_detections" ]	Return detections for batch :param batch: :return:	[ "Return", "detections", "for", "batch", ":", "param", "batch", ":", ":", "return", ":" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/detect/detector.py#L109-L118	train	Return detections for a batch.	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) + chr(1708 - 1657) + chr(133 - 79) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b11000 + 0o32) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(50) + chr(0b100 + 0o63) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(2090 - 2042) + chr(0b1101111) + '\x31' + '\064' + chr(0b100001 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\x37' + '\x31', 29527 - 29519), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\x37' + chr(0b1101 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\061' + chr(0b110111) + chr(0b11010 + 0o34), 44419 - 44411), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1956 - 1905) + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110100) + chr(0b110000), 6545 - 6537), ehT0Px3KOsy9(chr(2116 - 2068) + chr(0b1101111) + chr(53) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1420 - 1369) + '\x37' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(1492 - 1441) + chr(0b110100) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11 + 0o56) + chr(55) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1901 - 1850) + '\065' + chr(53), 28379 - 28371), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\066' + chr(0b110001), 31610 - 31602), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + '\062' + '\063' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101010 + 0o11) + chr(0b100011 + 0o21) + chr(0b110111), 8), ehT0Px3KOsy9(chr(1342 - 1294) + chr(111) + chr(0b100011 + 0o16) + chr(48) + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(0b110010) + '\067' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(855 - 805) + '\x32' + chr(863 - 808), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b100000 + 0o117) + chr(1364 - 1314) + chr(0b11001 + 0o32) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b100101 + 0o16) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(963 - 912) + chr(53), 0b1000), ehT0Px3KOsy9(chr(423 - 375) + '\157' + chr(0b110011) + chr(0b110001) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1049 - 1001) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1468 - 1420) + chr(1625 - 1514) + '\062' + chr(54) + chr(0b110101), 51421 - 51413), ehT0Px3KOsy9(chr(2183 - 2135) + chr(111) + chr(50) + '\065' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(160 - 110) + chr(1076 - 1026), 61249 - 61241), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\065' + chr(1085 - 1037), 5313 - 5305), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(1220 - 1170) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x36' + chr(0b110001), 19764 - 19756), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + chr(506 - 455) + chr(0b11001 + 0o35) + chr(51), 8), ehT0Px3KOsy9('\060' + chr(10246 - 10135) + chr(0b110011) + '\060' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1110 + 0o141) + chr(1830 - 1779) + '\067' + chr(0b10001 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101 + 0o60) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(915 - 865) + '\061' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(5563 - 5452) + '\x33' + '\067' + chr(600 - 548), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(53) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11404 - 11293) + '\062' + '\066' + '\060', 45805 - 45797), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + chr(0b110111), 50599 - 50591)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b1011 + 0o52) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd'), '\x64' + chr(0b101 + 0o140) + chr(99) + '\157' + chr(0b1100100) + chr(6865 - 6764))('\165' + chr(9329 - 9213) + chr(2231 - 2129) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def yNclFau5Hfe4(oVre8I6UXc3b, dNwAahu8tvoY): xafqLlk3kkUe(oVre8I6UXc3b.mod, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xb4\xd8\x07zt+\x99fd\x90\xd2'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(604 - 504) + chr(101))(chr(0b1110000 + 0o5) + '\x74' + chr(0b1010111 + 0o17) + '\x2d' + chr(56)))(dNwAahu8tvoY, is_train=ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\x30', ord("\x08"))) rH0oaknbL_Cd = oVre8I6UXc3b.mod.get_outputs()[ehT0Px3KOsy9(chr(48) + chr(1470 - 1359) + chr(1784 - 1736), 8)] cpTJFNOvwwGq = X7eUPgmKjrCY.filter_positive_detections(rH0oaknbL_Cd) return cpTJFNOvwwGq
apache/incubator-mxnet	example/ssd/detect/detector.py	Detector.im_detect	def im_detect(self, im_list, root_dir=None, extension=None, show_timer=False): """ wrapper for detecting multiple images Parameters: ---------- im_list : list of str image path or list of image paths root_dir : str directory of input images, optional if image path already has full directory information extension : str image extension, eg. ".jpg", optional Returns: ---------- list of detection results in format [det0, det1...], det is in format np.array([id, score, xmin, ymin, xmax, ymax]...) """ test_db = TestDB(im_list, root_dir=root_dir, extension=extension) test_iter = DetIter(test_db, 1, self.data_shape, self.mean_pixels, is_train=False) return self.detect_iter(test_iter, show_timer)	python	def im_detect(self, im_list, root_dir=None, extension=None, show_timer=False): """ wrapper for detecting multiple images Parameters: ---------- im_list : list of str image path or list of image paths root_dir : str directory of input images, optional if image path already has full directory information extension : str image extension, eg. ".jpg", optional Returns: ---------- list of detection results in format [det0, det1...], det is in format np.array([id, score, xmin, ymin, xmax, ymax]...) """ test_db = TestDB(im_list, root_dir=root_dir, extension=extension) test_iter = DetIter(test_db, 1, self.data_shape, self.mean_pixels, is_train=False) return self.detect_iter(test_iter, show_timer)	[ "def", "im_detect", "(", "self", ",", "im_list", ",", "root_dir", "=", "None", ",", "extension", "=", "None", ",", "show_timer", "=", "False", ")", ":", "test_db", "=", "TestDB", "(", "im_list", ",", "root_dir", "=", "root_dir", ",", "extension", "=", "extension", ")", "test_iter", "=", "DetIter", "(", "test_db", ",", "1", ",", "self", ".", "data_shape", ",", "self", ".", "mean_pixels", ",", "is_train", "=", "False", ")", "return", "self", ".", "detect_iter", "(", "test_iter", ",", "show_timer", ")" ]	wrapper for detecting multiple images Parameters: ---------- im_list : list of str image path or list of image paths root_dir : str directory of input images, optional if image path already has full directory information extension : str image extension, eg. ".jpg", optional Returns: ---------- list of detection results in format [det0, det1...], det is in format np.array([id, score, xmin, ymin, xmax, ymax]...)	[ "wrapper", "for", "detecting", "multiple", "images" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/detect/detector.py#L120-L142	train	Wrapper for detecting multiple images in a single image store	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) + '\062' + chr(53) + chr(0b11 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11839 - 11728) + '\063' + '\x33' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(50) + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9(chr(536 - 488) + chr(0b1101111) + '\x33' + chr(2247 - 2194), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(55) + '\x33', 50181 - 50173), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(373 - 324) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(9633 - 9522) + '\063' + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110000 + 0o0) + '\x35', 1123 - 1115), ehT0Px3KOsy9(chr(847 - 799) + chr(0b1101111) + '\063' + '\x34' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2156 - 2105) + chr(0b110011) + '\x30', 1388 - 1380), ehT0Px3KOsy9('\060' + chr(490 - 379) + '\061' + chr(49) + chr(590 - 540), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(4867 - 4756) + chr(0b101001 + 0o11) + chr(215 - 167) + chr(0b110110), 49579 - 49571), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(2026 - 1978) + chr(0b10101 + 0o37), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + chr(1793 - 1740) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1732 - 1621) + chr(0b101001 + 0o15) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101110 + 0o3) + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(6494 - 6383) + chr(0b110010 + 0o0) + chr(55) + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5357 - 5246) + '\061' + chr(0b1111 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(7257 - 7146) + '\063' + '\x31' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\063' + '\x31', 0b1000), ehT0Px3KOsy9(chr(244 - 196) + '\x6f' + chr(0b110001) + chr(51) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1322 - 1273) + chr(0b110001 + 0o4) + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x36' + chr(354 - 306), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(481 - 432) + chr(0b110100) + '\x34', 48866 - 48858), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2180 - 2131) + '\061' + chr(0b110001), 32232 - 32224), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x35' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7353 - 7242) + chr(0b110 + 0o55) + chr(1369 - 1317) + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(54) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1320 - 1272) + chr(0b1101111) + '\065' + chr(0b1 + 0o66), 0b1000), ehT0Px3KOsy9(chr(58 - 10) + '\x6f' + chr(0b101000 + 0o13) + chr(1607 - 1552) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1805 - 1752) + chr(2174 - 2121), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + '\x33' + '\062' + chr(1977 - 1923), 0o10), ehT0Px3KOsy9(chr(48) + chr(6486 - 6375) + chr(0b110011) + '\x33' + chr(1098 - 1048), 0o10), ehT0Px3KOsy9(chr(134 - 86) + chr(0b1000100 + 0o53) + chr(220 - 170) + '\060' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(706 - 656) + chr(0b11010 + 0o27) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(49) + chr(0b10111 + 0o40), 59623 - 59615), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(0b110100 + 0o1) + chr(0b1 + 0o57), 1271 - 1263)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x85'), '\x64' + chr(101) + chr(4478 - 4379) + chr(111) + chr(100) + chr(101))(chr(10794 - 10677) + chr(0b1110100) + chr(0b11000 + 0o116) + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def NEKOIiLPjmb9(oVre8I6UXc3b, yENDncx_MvS2, DFDdFatgdVH6=None, bJEQ7witqKOi=None, BFWnZTidl2kD=ehT0Px3KOsy9(chr(498 - 450) + '\x6f' + chr(0b110000), 14126 - 14118)): l71EhPLbYBHZ = ONzNcKz6hyYr(yENDncx_MvS2, root_dir=DFDdFatgdVH6, extension=bJEQ7witqKOi) TeSj6YWtn6Sj = UQQoyGTl4zSZ(l71EhPLbYBHZ, ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b110001), ord("\x08")), oVre8I6UXc3b.l48nAKgbtcOz, oVre8I6UXc3b.mean_pixels, is_train=ehT0Px3KOsy9(chr(0b110000) + chr(299 - 188) + chr(48), 8)) return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xbe\xcbm~O\x12v1\x81\xaa'), chr(0b1010011 + 0o21) + chr(0b1100101) + chr(0b1100010 + 0o1) + chr(0b1101111) + chr(3344 - 3244) + '\145')(chr(0b1000111 + 0o56) + chr(1722 - 1606) + '\146' + chr(45) + chr(56)))(TeSj6YWtn6Sj, BFWnZTidl2kD)
apache/incubator-mxnet	example/ssd/detect/detector.py	Detector.visualize_detection	def visualize_detection(self, img, dets, classes=[], thresh=0.6): """ visualize detections in one image Parameters: ---------- img : numpy.array image, in bgr format dets : numpy.array ssd detections, numpy.array([[id, score, x1, y1, x2, y2]...]) each row is one object classes : tuple or list of str class names thresh : float score threshold """ import matplotlib.pyplot as plt import random plt.imshow(img) height = img.shape[0] width = img.shape[1] colors = dict() for det in dets: (klass, score, x0, y0, x1, y1) = det if score < thresh: continue cls_id = int(klass) if cls_id not in colors: colors[cls_id] = (random.random(), random.random(), random.random()) xmin = int(x0 * width) ymin = int(y0 * height) xmax = int(x1 * width) ymax = int(y1 * height) rect = plt.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, fill=False, edgecolor=colors[cls_id], linewidth=3.5) plt.gca().add_patch(rect) class_name = str(cls_id) if classes and len(classes) > cls_id: class_name = classes[cls_id] plt.gca().text(xmin, ymin - 2, '{:s} {:.3f}'.format(class_name, score), bbox=dict(facecolor=colors[cls_id], alpha=0.5), fontsize=12, color='white') plt.show()	python	def visualize_detection(self, img, dets, classes=[], thresh=0.6): """ visualize detections in one image Parameters: ---------- img : numpy.array image, in bgr format dets : numpy.array ssd detections, numpy.array([[id, score, x1, y1, x2, y2]...]) each row is one object classes : tuple or list of str class names thresh : float score threshold """ import matplotlib.pyplot as plt import random plt.imshow(img) height = img.shape[0] width = img.shape[1] colors = dict() for det in dets: (klass, score, x0, y0, x1, y1) = det if score < thresh: continue cls_id = int(klass) if cls_id not in colors: colors[cls_id] = (random.random(), random.random(), random.random()) xmin = int(x0 * width) ymin = int(y0 * height) xmax = int(x1 * width) ymax = int(y1 * height) rect = plt.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, fill=False, edgecolor=colors[cls_id], linewidth=3.5) plt.gca().add_patch(rect) class_name = str(cls_id) if classes and len(classes) > cls_id: class_name = classes[cls_id] plt.gca().text(xmin, ymin - 2, '{:s} {:.3f}'.format(class_name, score), bbox=dict(facecolor=colors[cls_id], alpha=0.5), fontsize=12, color='white') plt.show()	[ "def", "visualize_detection", "(", "self", ",", "img", ",", "dets", ",", "classes", "=", "[", "]", ",", "thresh", "=", "0.6", ")", ":", "import", "matplotlib", ".", "pyplot", "as", "plt", "import", "random", "plt", ".", "imshow", "(", "img", ")", "height", "=", "img", ".", "shape", "[", "0", "]", "width", "=", "img", ".", "shape", "[", "1", "]", "colors", "=", "dict", "(", ")", "for", "det", "in", "dets", ":", "(", "klass", ",", "score", ",", "x0", ",", "y0", ",", "x1", ",", "y1", ")", "=", "det", "if", "score", "<", "thresh", ":", "continue", "cls_id", "=", "int", "(", "klass", ")", "if", "cls_id", "not", "in", "colors", ":", "colors", "[", "cls_id", "]", "=", "(", "random", ".", "random", "(", ")", ",", "random", ".", "random", "(", ")", ",", "random", ".", "random", "(", ")", ")", "xmin", "=", "int", "(", "x0", "", "width", ")", "ymin", "=", "int", "(", "y0", "", "height", ")", "xmax", "=", "int", "(", "x1", "", "width", ")", "ymax", "=", "int", "(", "y1", "", "height", ")", "rect", "=", "plt", ".", "Rectangle", "(", "(", "xmin", ",", "ymin", ")", ",", "xmax", "-", "xmin", ",", "ymax", "-", "ymin", ",", "fill", "=", "False", ",", "edgecolor", "=", "colors", "[", "cls_id", "]", ",", "linewidth", "=", "3.5", ")", "plt", ".", "gca", "(", ")", ".", "add_patch", "(", "rect", ")", "class_name", "=", "str", "(", "cls_id", ")", "if", "classes", "and", "len", "(", "classes", ")", ">", "cls_id", ":", "class_name", "=", "classes", "[", "cls_id", "]", "plt", ".", "gca", "(", ")", ".", "text", "(", "xmin", ",", "ymin", "-", "2", ",", "'{:s} {:.3f}'", ".", "format", "(", "class_name", ",", "score", ")", ",", "bbox", "=", "dict", "(", "facecolor", "=", "colors", "[", "cls_id", "]", ",", "alpha", "=", "0.5", ")", ",", "fontsize", "=", "12", ",", "color", "=", "'white'", ")", "plt", ".", "show", "(", ")" ]	visualize detections in one image Parameters: ---------- img : numpy.array image, in bgr format dets : numpy.array ssd detections, numpy.array([[id, score, x1, y1, x2, y2]...]) each row is one object classes : tuple or list of str class names thresh : float score threshold	[ "visualize", "detections", "in", "one", "image" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/detect/detector.py#L144-L189	train	Visualize detections in one image.	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(2324 - 2275) + chr(53) + chr(0b1 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(946 - 898) + chr(0b1101001 + 0o6) + chr(0b110010) + '\062' + chr(801 - 747), 41760 - 41752), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(414 - 363) + '\063' + '\x31', 52245 - 52237), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x37' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\x32' + chr(51) + chr(0b10000 + 0o45), 8755 - 8747), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1385 - 1335) + '\064' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\x33' + chr(382 - 332), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2208 - 2155) + chr(0b11101 + 0o25), 0b1000), ehT0Px3KOsy9('\060' + chr(8024 - 7913) + chr(0b110011) + chr(48) + chr(0b10100 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11345 - 11234) + chr(0b110001) + chr(0b111 + 0o51) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(634 - 586) + chr(0b1000101 + 0o52) + chr(0b1110 + 0o44) + '\065' + '\065', 16145 - 16137), ehT0Px3KOsy9(chr(0b110000) + chr(6015 - 5904) + '\x31' + chr(54) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1329 - 1281) + chr(0b1101111) + chr(0b110011) + chr(0b1010 + 0o51) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + chr(0b100101 + 0o15) + chr(0b101001 + 0o10) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(51) + chr(48) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x33' + '\x31' + chr(2068 - 2019), 14908 - 14900), ehT0Px3KOsy9(chr(1537 - 1489) + '\x6f' + chr(312 - 261) + chr(818 - 766) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(2061 - 1950) + chr(2045 - 1994) + chr(55) + '\062', 64306 - 64298), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(49) + chr(48), 0b1000), ehT0Px3KOsy9(chr(647 - 599) + chr(8947 - 8836) + '\066' + chr(0b110100), 64708 - 64700), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\x31' + chr(0b10101 + 0o33) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b110010) + chr(53) + chr(2227 - 2176), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(55) + chr(0b110010), 19974 - 19966), ehT0Px3KOsy9(chr(1576 - 1528) + chr(0b1101111) + '\x32' + chr(1198 - 1149) + chr(0b110101), 47205 - 47197), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(52) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110 + 0o55) + chr(0b110100), 39090 - 39082), ehT0Px3KOsy9(chr(48) + chr(1979 - 1868) + '\x31' + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100100 + 0o17) + chr(55) + chr(53), 43874 - 43866), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110010) + chr(854 - 802) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110001) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(11878 - 11767) + '\x31' + '\x30' + chr(74 - 20), 64806 - 64798), ehT0Px3KOsy9(chr(128 - 80) + chr(0b1101111) + chr(0b1100 + 0o47) + chr(51) + chr(276 - 227), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11010 + 0o27) + '\061' + chr(52), 0o10), ehT0Px3KOsy9(chr(1009 - 961) + '\x6f' + '\062' + chr(48) + chr(2867 - 2813), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\065' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(191 - 143) + chr(111) + chr(0b10110 + 0o33) + chr(0b110 + 0o54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(1948 - 1837) + '\065' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'D'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(4879 - 4779) + '\145')(chr(117) + '\164' + chr(0b11110 + 0o110) + chr(0b101101) + chr(1740 - 1684)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def jY0eWygL1rWJ(oVre8I6UXc3b, s63jeLEbd8fs, E5zNArgQovxX, anO3bg2_hMSE=[], aV_ML5E6yBQq=0.6): (eRubm8FH879n,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xf7\xad\xcf\xf1\xcd\xeeRC\xa5m\xdd\r\xaf\xe6\xa9G'), '\144' + chr(101) + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(45) + chr(0b100011 + 0o25)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xef\xa9\xd3\xf2\xd6'), '\144' + chr(0b100001 + 0o104) + chr(0b1100011) + chr(3134 - 3023) + '\144' + '\145')(chr(117) + chr(116) + chr(6858 - 6756) + chr(45) + chr(409 - 353))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xef\xa9\xd3\xf2\xd6'), '\x64' + chr(0b111101 + 0o50) + chr(99) + chr(0b1000010 + 0o55) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(2451 - 2395))),) (drxw09AdRdci,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xf7\xb7\xdb\xf2\xcf'), '\144' + '\x65' + '\x63' + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + chr(56))),) xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xfb\xaa\xd7\xf2\xd5'), chr(0b110100 + 0o60) + chr(0b11001 + 0o114) + '\x63' + chr(0b1001111 + 0o40) + chr(0b1100100) + chr(0b1100101))(chr(0b10011 + 0o142) + '\x74' + chr(0b101 + 0o141) + chr(45) + '\070'))(s63jeLEbd8fs) ehbUULKuygfC = s63jeLEbd8fs.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', ord("\x08"))] mPx09rBTrGXR = s63jeLEbd8fs.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 0o10)] bVKMf_d5jJzc = wLqBDw8l0eIm() for WfUKrzEI6HCc in E5zNArgQovxX: (FfYZvY9_8tha, n9fd4FsgoqFs, MTHwGDA8i59t, TTufnT3oefIY, pci1T9SDshKa, bdlzQNguJ1X_) = WfUKrzEI6HCc if n9fd4FsgoqFs < aV_ML5E6yBQq: continue QtY2Tu88ktJN = ehT0Px3KOsy9(FfYZvY9_8tha) if QtY2Tu88ktJN not in bVKMf_d5jJzc: bVKMf_d5jJzc[QtY2Tu88ktJN] = (drxw09AdRdci.drxw09AdRdci(), drxw09AdRdci.drxw09AdRdci(), drxw09AdRdci.drxw09AdRdci()) iwLDVrOPwAXT = ehT0Px3KOsy9(MTHwGDA8i59t * mPx09rBTrGXR) boaq9Hs5GNoO = ehT0Px3KOsy9(TTufnT3oefIY * ehbUULKuygfC) _BorAvM1DJSA = ehT0Px3KOsy9(pci1T9SDshKa * mPx09rBTrGXR) gMlDWMAO4ir9 = ehT0Px3KOsy9(bdlzQNguJ1X_ * ehbUULKuygfC) BnXcKx1MkWnV = eRubm8FH879n.Rectangle((iwLDVrOPwAXT, boaq9Hs5GNoO), _BorAvM1DJSA - iwLDVrOPwAXT, gMlDWMAO4ir9 - boaq9Hs5GNoO, fill=ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1100110 + 0o11) + chr(0b11 + 0o55), 8), edgecolor=bVKMf_d5jJzc[QtY2Tu88ktJN], linewidth=3.5) xafqLlk3kkUe(eRubm8FH879n.gca(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\xf2\xbd\xe0\xed\xc3\xee]B'), chr(100) + chr(101) + '\143' + '\x6f' + chr(6986 - 6886) + chr(0b111001 + 0o54))(chr(117) + chr(9256 - 9140) + '\146' + chr(0b101101) + chr(0b101 + 0o63)))(BnXcKx1MkWnV) _oBLt_tbuDVq = M8_cKLkHVB2V(QtY2Tu88ktJN) if anO3bg2_hMSE and c2A0yzQpDQB3(anO3bg2_hMSE) > QtY2Tu88ktJN: _oBLt_tbuDVq = anO3bg2_hMSE[QtY2Tu88ktJN] xafqLlk3kkUe(eRubm8FH879n.gca(), xafqLlk3kkUe(SXOLrMavuUCe(b'+\xfe\xe8\xcd\xd4\xcc\xecY\x1e\xff\x0b\xcf'), chr(0b1100100) + chr(8739 - 8638) + '\x63' + chr(8263 - 8152) + '\144' + '\145')('\165' + chr(116) + chr(9619 - 9517) + chr(0b11 + 0o52) + chr(0b111000)))(iwLDVrOPwAXT, boaq9Hs5GNoO - ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(2967 - 2856) + '\062', 0b1000), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\xac\xaa\xc2\xbd\xd9\xa0\x10\x19\xa1>'), chr(0b100110 + 0o76) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100010 + 0o3))('\x75' + chr(0b1010010 + 0o42) + '\146' + chr(1968 - 1923) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'<\xa2\xab\xd0\xd5\xc3\xc9\rz\xb7&\xc7'), chr(100) + chr(0b1100101) + chr(1096 - 997) + chr(7130 - 7019) + chr(8551 - 8451) + chr(4881 - 4780))('\x75' + chr(0b1100011 + 0o21) + chr(0b10111 + 0o117) + '\x2d' + chr(0b111000)))(_oBLt_tbuDVq, n9fd4FsgoqFs), bbox=wLqBDw8l0eIm(facecolor=bVKMf_d5jJzc[QtY2Tu88ktJN], alpha=0.5), fontsize=ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(0b110001) + chr(52), 8164 - 8156), color=xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xfe\xb0\xcb\xf8'), chr(100) + chr(8113 - 8012) + chr(0b1000100 + 0o37) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(1547 - 1445) + '\055' + chr(0b111000))) xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xfe\xb6\xc8'), chr(0b1100100) + chr(101) + chr(8013 - 7914) + chr(0b1011100 + 0o23) + chr(0b1100 + 0o130) + chr(0b1000011 + 0o42))(chr(0b111101 + 0o70) + chr(116) + '\x66' + chr(45) + chr(56)))()
apache/incubator-mxnet	example/ssd/detect/detector.py	Detector.filter_positive_detections	def filter_positive_detections(detections): """ First column (class id) is -1 for negative detections :param detections: :return: """ class_idx = 0 assert(isinstance(detections, mx.nd.NDArray) or isinstance(detections, np.ndarray)) detections_per_image = [] # for each image for i in range(detections.shape[0]): result = [] det = detections[i, :, :] for obj in det: if obj[class_idx] >= 0: result.append(obj) detections_per_image.append(result) logging.info("%d positive detections", len(result)) return detections_per_image	python	def filter_positive_detections(detections): """ First column (class id) is -1 for negative detections :param detections: :return: """ class_idx = 0 assert(isinstance(detections, mx.nd.NDArray) or isinstance(detections, np.ndarray)) detections_per_image = [] # for each image for i in range(detections.shape[0]): result = [] det = detections[i, :, :] for obj in det: if obj[class_idx] >= 0: result.append(obj) detections_per_image.append(result) logging.info("%d positive detections", len(result)) return detections_per_image	[ "def", "filter_positive_detections", "(", "detections", ")", ":", "class_idx", "=", "0", "assert", "(", "isinstance", "(", "detections", ",", "mx", ".", "nd", ".", "NDArray", ")", "or", "isinstance", "(", "detections", ",", "np", ".", "ndarray", ")", ")", "detections_per_image", "=", "[", "]", "# for each image", "for", "i", "in", "range", "(", "detections", ".", "shape", "[", "0", "]", ")", ":", "result", "=", "[", "]", "det", "=", "detections", "[", "i", ",", ":", ",", ":", "]", "for", "obj", "in", "det", ":", "if", "obj", "[", "class_idx", "]", ">=", "0", ":", "result", ".", "append", "(", "obj", ")", "detections_per_image", ".", "append", "(", "result", ")", "logging", ".", "info", "(", "\"%d positive detections\"", ",", "len", "(", "result", ")", ")", "return", "detections_per_image" ]	First column (class id) is -1 for negative detections :param detections: :return:	[ "First", "column", "(", "class", "id", ")", "is", "-", "1", "for", "negative", "detections", ":", "param", "detections", ":", ":", "return", ":" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/detect/detector.py#L192-L210	train	Filter detections that are positive.	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(0b11111 + 0o120) + '\061' + chr(0b100110 + 0o16) + chr(48), 51108 - 51100), ehT0Px3KOsy9('\060' + chr(11662 - 11551) + chr(53) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\060' + chr(0b110101), 52174 - 52166), ehT0Px3KOsy9(chr(177 - 129) + '\157' + chr(2151 - 2102) + chr(273 - 225) + chr(0b110110), 36950 - 36942), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b11 + 0o154) + chr(0b110011) + chr(619 - 568) + chr(1227 - 1178), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\067' + '\x30', 24414 - 24406), ehT0Px3KOsy9(chr(0b110000) + chr(6012 - 5901) + chr(0b10100 + 0o35) + chr(49) + chr(1270 - 1217), 38254 - 38246), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + '\x32' + chr(1351 - 1298) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + chr(0b101001 + 0o10) + chr(0b1000 + 0o55) + '\062', 37302 - 37294), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b10010 + 0o37) + chr(51) + chr(1621 - 1569), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(55) + chr(0b110111), 31831 - 31823), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\060' + chr(0b110011 + 0o1), 15708 - 15700), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2144 - 2093) + chr(0b110111) + chr(0b100011 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(5957 - 5846) + '\x33' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(409 - 359) + '\064' + chr(2134 - 2082), ord("\x08")), ehT0Px3KOsy9(chr(2063 - 2015) + chr(0b1101111) + '\063' + '\062' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b10000 + 0o41) + '\065' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(95 - 45) + '\061' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(10011 - 9900) + chr(0b110001) + chr(72 - 20) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(48) + chr(2137 - 2086), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\066' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x32' + chr(1198 - 1143), 0o10), ehT0Px3KOsy9(chr(94 - 46) + '\157' + chr(55) + chr(999 - 951), 28827 - 28819), ehT0Px3KOsy9(chr(571 - 523) + chr(0b1100001 + 0o16) + '\x31' + '\061' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\x32' + '\067' + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(914 - 866) + chr(0b1101111) + '\x36' + '\067', 0o10), ehT0Px3KOsy9(chr(1445 - 1397) + chr(0b1101111) + '\x33' + chr(390 - 342) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b11111 + 0o23) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + chr(55), 0o10), ehT0Px3KOsy9(chr(1898 - 1850) + chr(0b11111 + 0o120) + '\x33' + chr(0b11110 + 0o31) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(0b1000 + 0o53) + chr(1415 - 1364) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2069 - 2020) + chr(54) + chr(0b110 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x30' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + '\x32' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b101 + 0o53) + '\062', 0b1000), ehT0Px3KOsy9(chr(413 - 365) + chr(7502 - 7391) + chr(51) + chr(719 - 665), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5105 - 4994) + '\x32' + chr(0b111 + 0o52) + '\x31', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1119 - 1071) + chr(0b1101111) + chr(0b110101) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'N'), chr(100) + chr(8585 - 8484) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(1596 - 1551) + chr(1688 - 1632)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def RSxGncJPWHwP(rH0oaknbL_Cd): CS6ogqCes1Eb = ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 0b1000) assert PlSM16l2KDPD(rH0oaknbL_Cd, xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b'.l\x044\xab\x994'), chr(0b1100100) + chr(0b11111 + 0o106) + chr(99) + chr(111) + '\x64' + chr(0b10111 + 0o116))(chr(0b1110101) + chr(0b111011 + 0o71) + chr(0b1100110) + chr(0b101101) + '\070'))) or PlSM16l2KDPD(rH0oaknbL_Cd, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0eL$4\xab\x994'), '\144' + chr(8178 - 8077) + chr(7664 - 7565) + '\157' + chr(8314 - 8214) + chr(0b1100101))(chr(0b1110101) + chr(0b101101 + 0o107) + chr(2959 - 2857) + chr(2013 - 1968) + chr(0b111000)))) fGWWTUl0Yjvw = [] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(rH0oaknbL_Cd, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0eI0\x1f\xbf\xb4\xc0>,\xdc&'), '\x64' + chr(5022 - 4921) + chr(0b1100010 + 0o1) + chr(0b10001 + 0o136) + '\144' + chr(0b1001011 + 0o32))('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b101 + 0o63)))[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000), 8)]): ShZmEKfTkAOZ = [] WfUKrzEI6HCc = rH0oaknbL_Cd[WVxHKyX45z_L, :, :] for mDuDykdz0pcm in WfUKrzEI6HCc: if mDuDykdz0pcm[CS6ogqCes1Eb] >= ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8): xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01X5#\xb7\x9c'), chr(0b1100100) + chr(7882 - 7781) + chr(0b1100011) + '\x6f' + '\144' + chr(0b10110 + 0o117))('\x75' + chr(11348 - 11232) + chr(102) + chr(66 - 21) + chr(751 - 695)))(mDuDykdz0pcm) xafqLlk3kkUe(fGWWTUl0Yjvw, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01X5#\xb7\x9c'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + '\x66' + '\055' + '\x38'))(ShZmEKfTkAOZ) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'3\x1f\r>\xac\x9b\x9b\x000\xe5/'), chr(100) + '\145' + chr(99) + '\157' + '\x64' + chr(0b1100101))('\x75' + '\164' + '\146' + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'ELe6\xb6\x8b$\xd8\x03*\xdad\xae\x9cnx\xc7\xa1\x06\xe3\x0c\xf0'), '\x64' + chr(0b1001011 + 0o32) + '\x63' + chr(0b1101111) + chr(4591 - 4491) + chr(101))(chr(0b1011110 + 0o27) + chr(2491 - 2375) + chr(0b1100110) + chr(45) + '\070'), c2A0yzQpDQB3(ShZmEKfTkAOZ)) return fGWWTUl0Yjvw
apache/incubator-mxnet	example/ssd/detect/detector.py	Detector.detect_and_visualize	def detect_and_visualize(self, im_list, root_dir=None, extension=None, classes=[], thresh=0.6, show_timer=False): """ wrapper for im_detect and visualize_detection Parameters: ---------- im_list : list of str or str image path or list of image paths root_dir : str or None directory of input images, optional if image path already has full directory information extension : str or None image extension, eg. ".jpg", optional Returns: ---------- """ dets = self.im_detect(im_list, root_dir, extension, show_timer=show_timer) if not isinstance(im_list, list): im_list = [im_list] assert len(dets) == len(im_list) for k, det in enumerate(dets): img = cv2.imread(im_list[k]) img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) self.visualize_detection(img, det, classes, thresh)	python	def detect_and_visualize(self, im_list, root_dir=None, extension=None, classes=[], thresh=0.6, show_timer=False): """ wrapper for im_detect and visualize_detection Parameters: ---------- im_list : list of str or str image path or list of image paths root_dir : str or None directory of input images, optional if image path already has full directory information extension : str or None image extension, eg. ".jpg", optional Returns: ---------- """ dets = self.im_detect(im_list, root_dir, extension, show_timer=show_timer) if not isinstance(im_list, list): im_list = [im_list] assert len(dets) == len(im_list) for k, det in enumerate(dets): img = cv2.imread(im_list[k]) img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) self.visualize_detection(img, det, classes, thresh)	[ "def", "detect_and_visualize", "(", "self", ",", "im_list", ",", "root_dir", "=", "None", ",", "extension", "=", "None", ",", "classes", "=", "[", "]", ",", "thresh", "=", "0.6", ",", "show_timer", "=", "False", ")", ":", "dets", "=", "self", ".", "im_detect", "(", "im_list", ",", "root_dir", ",", "extension", ",", "show_timer", "=", "show_timer", ")", "if", "not", "isinstance", "(", "im_list", ",", "list", ")", ":", "im_list", "=", "[", "im_list", "]", "assert", "len", "(", "dets", ")", "==", "len", "(", "im_list", ")", "for", "k", ",", "det", "in", "enumerate", "(", "dets", ")", ":", "img", "=", "cv2", ".", "imread", "(", "im_list", "[", "k", "]", ")", "img", "=", "cv2", ".", "cvtColor", "(", "img", ",", "cv2", ".", "COLOR_BGR2RGB", ")", "self", ".", "visualize_detection", "(", "img", ",", "det", ",", "classes", ",", "thresh", ")" ]	wrapper for im_detect and visualize_detection Parameters: ---------- im_list : list of str or str image path or list of image paths root_dir : str or None directory of input images, optional if image path already has full directory information extension : str or None image extension, eg. ".jpg", optional Returns: ----------	[ "wrapper", "for", "im_detect", "and", "visualize_detection" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/detect/detector.py#L212-L238	train	Wrapper for im_detect and visualize_detection	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(2044 - 1996) + chr(111) + chr(0b101011 + 0o6) + '\x37' + '\061', 0b1000), ehT0Px3KOsy9(chr(142 - 94) + '\157' + chr(50) + chr(53) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(49) + chr(0b110101) + chr(0b100010 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b110100 + 0o73) + chr(1447 - 1396) + chr(49) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + '\x33' + chr(0b110011) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o61) + chr(2073 - 2024) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(6612 - 6501) + chr(49) + '\x35' + chr(70 - 20), ord("\x08")), ehT0Px3KOsy9(chr(1737 - 1689) + chr(0b100111 + 0o110) + chr(0b110011) + chr(0b110100) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(1409 - 1359) + chr(0b110101) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(1381 - 1270) + chr(0b110010) + '\065' + '\x35', 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(1757 - 1646) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(9080 - 8969) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110111) + chr(0b11 + 0o64), 5251 - 5243), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b10001 + 0o42) + chr(0b110101), 40113 - 40105), ehT0Px3KOsy9(chr(0b110000) + chr(1594 - 1483) + '\x36' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\066' + '\065', 18 - 10), ehT0Px3KOsy9(chr(2303 - 2255) + '\157' + chr(0b110011) + chr(0b11001 + 0o31) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(105 - 54) + chr(50) + chr(415 - 365), 52656 - 52648), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2113 - 2064) + chr(0b110111) + '\060', 34329 - 34321), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b1101 + 0o45) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b101111 + 0o4) + chr(1189 - 1140) + chr(1813 - 1765), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(974 - 924) + chr(0b110111) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11111 + 0o22), 8051 - 8043), ehT0Px3KOsy9(chr(0b110000) + chr(3411 - 3300) + chr(0b11000 + 0o33) + chr(0b1011 + 0o54) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(1599 - 1547) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110001 + 0o0), 0b1000), ehT0Px3KOsy9('\060' + chr(2615 - 2504) + chr(50) + '\061' + chr(0b101001 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + '\x33' + chr(0b110111) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b101001 + 0o15) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2996 - 2885) + '\061' + chr(136 - 83), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2106 - 2058), 8), ehT0Px3KOsy9(chr(2159 - 2111) + '\x6f' + chr(0b11101 + 0o26) + chr(0b110001), 8450 - 8442), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(1423 - 1374) + chr(2004 - 1955), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(1393 - 1342) + chr(0b100000 + 0o27) + '\062', 8), ehT0Px3KOsy9(chr(137 - 89) + chr(1624 - 1513) + '\x33' + chr(0b110100) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4605 - 4494) + chr(0b110010) + chr(0b110001) + chr(0b100001 + 0o26), 22720 - 22712), ehT0Px3KOsy9(chr(1842 - 1794) + chr(0b1101111) + '\x31' + '\x37' + chr(54), 53186 - 53178), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\063' + chr(53 - 2) + chr(0b100011 + 0o24), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(1829 - 1777) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2280 - 2232) + '\157' + chr(0b110101) + chr(0b110000), 40754 - 40746)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'W'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + '\x64' + chr(0b100100 + 0o101))(chr(117) + chr(0b1110100) + chr(0b111011 + 0o53) + '\x2d' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def T29jYIqMpTA0(oVre8I6UXc3b, yENDncx_MvS2, DFDdFatgdVH6=None, bJEQ7witqKOi=None, anO3bg2_hMSE=[], aV_ML5E6yBQq=0.6, BFWnZTidl2kD=ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(7907 - 7796) + chr(0b10101 + 0o33), 8)): E5zNArgQovxX = oVre8I6UXc3b.im_detect(yENDncx_MvS2, DFDdFatgdVH6, bJEQ7witqKOi, show_timer=BFWnZTidl2kD) if not PlSM16l2KDPD(yENDncx_MvS2, YyaZ4tpXu4lf): yENDncx_MvS2 = [yENDncx_MvS2] assert c2A0yzQpDQB3(E5zNArgQovxX) == c2A0yzQpDQB3(yENDncx_MvS2) for (OolUPRJhRaJd, WfUKrzEI6HCc) in YlkZvXL8qwsX(E5zNArgQovxX): s63jeLEbd8fs = KJXrc9aHu3IJ.imread(yENDncx_MvS2[OolUPRJhRaJd]) s63jeLEbd8fs = KJXrc9aHu3IJ.cvtColor(s63jeLEbd8fs, KJXrc9aHu3IJ.COLOR_BGR2RGB) xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\xc7\x1e\xbd\xbe\xa1\x03\x9b\xc8\xf2dc\x8b\xf8Q\xc1\xba\xbd\x16'), chr(2379 - 2279) + chr(3433 - 3332) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110011 + 0o2) + chr(0b1110100) + '\x66' + chr(0b101000 + 0o5) + chr(0b11101 + 0o33)))(s63jeLEbd8fs, WfUKrzEI6HCc, anO3bg2_hMSE, aV_ML5E6yBQq)
apache/incubator-mxnet	tools/caffe_converter/caffe_proto_utils.py	process_network_proto	def process_network_proto(caffe_root, deploy_proto): """ Runs the caffe upgrade tool on the prototxt to create a prototxt in the latest format. This enable us to work just with latest structures, instead of supporting all the variants :param caffe_root: link to caffe root folder, where the upgrade tool is located :param deploy_proto: name of the original prototxt file :return: name of new processed prototxt file """ processed_deploy_proto = deploy_proto + ".processed" from shutil import copyfile copyfile(deploy_proto, processed_deploy_proto) # run upgrade tool on new file name (same output file) import os upgrade_tool_command_line = caffe_root + '/build/tools/upgrade_net_proto_text.bin ' \ + processed_deploy_proto + ' ' + processed_deploy_proto os.system(upgrade_tool_command_line) return processed_deploy_proto	python	def process_network_proto(caffe_root, deploy_proto): """ Runs the caffe upgrade tool on the prototxt to create a prototxt in the latest format. This enable us to work just with latest structures, instead of supporting all the variants :param caffe_root: link to caffe root folder, where the upgrade tool is located :param deploy_proto: name of the original prototxt file :return: name of new processed prototxt file """ processed_deploy_proto = deploy_proto + ".processed" from shutil import copyfile copyfile(deploy_proto, processed_deploy_proto) # run upgrade tool on new file name (same output file) import os upgrade_tool_command_line = caffe_root + '/build/tools/upgrade_net_proto_text.bin ' \ + processed_deploy_proto + ' ' + processed_deploy_proto os.system(upgrade_tool_command_line) return processed_deploy_proto	[ "def", "process_network_proto", "(", "caffe_root", ",", "deploy_proto", ")", ":", "processed_deploy_proto", "=", "deploy_proto", "+", "\".processed\"", "from", "shutil", "import", "copyfile", "copyfile", "(", "deploy_proto", ",", "processed_deploy_proto", ")", "# run upgrade tool on new file name (same output file)", "import", "os", "upgrade_tool_command_line", "=", "caffe_root", "+", "'/build/tools/upgrade_net_proto_text.bin '", "+", "processed_deploy_proto", "+", "' '", "+", "processed_deploy_proto", "os", ".", "system", "(", "upgrade_tool_command_line", ")", "return", "processed_deploy_proto" ]	Runs the caffe upgrade tool on the prototxt to create a prototxt in the latest format. This enable us to work just with latest structures, instead of supporting all the variants :param caffe_root: link to caffe root folder, where the upgrade tool is located :param deploy_proto: name of the original prototxt file :return: name of new processed prototxt file	[ "Runs", "the", "caffe", "upgrade", "tool", "on", "the", "prototxt", "to", "create", "a", "prototxt", "in", "the", "latest", "format", ".", "This", "enable", "us", "to", "work", "just", "with", "latest", "structures", "instead", "of", "supporting", "all", "the", "variants" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/caffe_proto_utils.py#L22-L42	train	Runs the caffe upgrade tool on the prototxt to create a new prototxt in the latest format	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(0b11111 + 0o21) + chr(0b1101111) + chr(0b100001 + 0o22) + chr(0b1111 + 0o41) + chr(52), 60578 - 60570), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\064' + chr(1818 - 1767), 0o10), ehT0Px3KOsy9(chr(1225 - 1177) + '\157' + '\x31' + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(52) + chr(477 - 429), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x36' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1417 - 1369) + '\x6f' + chr(0b110010) + chr(2610 - 2557) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b11110 + 0o25) + '\x32' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6368 - 6257) + chr(70 - 18) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(51) + chr(0b101111 + 0o5) + '\061', 60407 - 60399), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(11216 - 11105) + chr(0b110010) + chr(1978 - 1924) + chr(1771 - 1716), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\062' + chr(0b1010 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101100 + 0o7) + chr(0b110100) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + '\x33' + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9(chr(1916 - 1868) + '\x6f' + chr(49) + chr(0b110010 + 0o2) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x34' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6221 - 6110) + '\x35' + chr(0b110101), 48910 - 48902), ehT0Px3KOsy9('\060' + chr(111) + chr(179 - 127) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(50) + chr(0b1001 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(338 - 289) + '\064' + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2118 - 2007) + chr(0b101000 + 0o11) + chr(0b110101) + chr(0b110110), 30747 - 30739), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(0b101110 + 0o4) + chr(0b110111) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + chr(1931 - 1880) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(1169 - 1115) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(1956 - 1906) + chr(0b10010 + 0o43) + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x30' + chr(0b110110), 41713 - 41705), ehT0Px3KOsy9(chr(1409 - 1361) + chr(0b1101111) + '\x31' + chr(50) + '\x33', 7813 - 7805), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100 + 0o55) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(2220 - 2172) + chr(0b1100000 + 0o17) + chr(50) + '\x30' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(51) + chr(0b110001 + 0o1), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b11100 + 0o27) + chr(1136 - 1082), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x37' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(1816 - 1763) + chr(490 - 438), 0o10), ehT0Px3KOsy9(chr(603 - 555) + chr(9061 - 8950) + chr(0b100010 + 0o20) + '\066' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1867 - 1819) + chr(0b10010 + 0o135) + chr(563 - 513) + chr(53) + '\066', 47120 - 47112), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110011) + chr(0b10011 + 0o43) + chr(53), 15430 - 15422), ehT0Px3KOsy9(chr(2026 - 1978) + chr(111) + chr(0b110001) + chr(0b110111) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1596 - 1545) + chr(0b110110) + chr(52), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(559 - 508) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(6031 - 5920) + '\062' + chr(323 - 275) + '\x32', 59412 - 59404), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b101100 + 0o5) + chr(50) + chr(54), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(489 - 436) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xea'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(0b110101 + 0o77) + '\146' + '\055' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def LHmvIC677m1i(gLZBPYkKOWYn, q1L6HAIeNKaM): OP3nVy_QQEh3 = q1L6HAIeNKaM + xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xd3/O\x11\xc8\xa1R\x84\xd3'), chr(3153 - 3053) + chr(0b1100101) + chr(2389 - 2290) + chr(0b1011110 + 0o21) + chr(5368 - 5268) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1000001 + 0o45) + chr(0b101101) + chr(0b10000 + 0o50)) (NyoOIqCrsvav,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xcb(T\x1b\xc1'), chr(0b1011 + 0o131) + chr(0b1100101) + '\x63' + '\157' + chr(100) + '\145')(chr(1689 - 1572) + '\x74' + '\146' + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\xcc-Y\x14\xc4\xbeD'), chr(100) + chr(4721 - 4620) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))('\165' + chr(116) + chr(0b111100 + 0o52) + chr(0b101101) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\xcc-Y\x14\xc4\xbeD'), '\144' + chr(101) + '\143' + chr(2049 - 1938) + chr(100) + chr(101))(chr(0b1000101 + 0o60) + chr(2078 - 1962) + chr(0b10001 + 0o125) + chr(1492 - 1447) + chr(0b111000))),) NyoOIqCrsvav(q1L6HAIeNKaM, OP3nVy_QQEh3) (oqhJDdMJfuwx,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xd0'), '\144' + chr(0b1100101) + '\143' + chr(7823 - 7712) + chr(0b1100100) + chr(3338 - 3237))('\165' + chr(6564 - 6448) + chr(0b10010 + 0o124) + chr(0b110 + 0o47) + '\x38')),) VQno0oY7NQ6A = gLZBPYkKOWYn + xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\xc1(I\x1e\xc9\xfdU\x8e\xd89\x922\x16\x15JV\xf3\x06\x0b\xe5qS\xdf\xd9#}\xee\xee\xf1b\xd8\xd7\xd6\x81T\x961\xecv'), '\x64' + '\x65' + chr(3989 - 3890) + chr(2390 - 2279) + chr(0b100100 + 0o100) + '\145')('\165' + chr(116) + '\x66' + '\x2d' + chr(0b111000)) + OP3nVy_QQEh3 + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(1126 - 1026) + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(105 - 60) + chr(0b10100 + 0o44)) + OP3nVy_QQEh3 xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xda.T\x17\xc0'), '\144' + '\x65' + chr(0b1100 + 0o127) + chr(111) + chr(0b1100100) + chr(101))(chr(0b11101 + 0o130) + chr(116) + chr(102) + chr(358 - 313) + '\x38'))(VQno0oY7NQ6A) return OP3nVy_QQEh3
apache/incubator-mxnet	tools/caffe_converter/caffe_proto_utils.py	read_network_dag	def read_network_dag(processed_deploy_prototxt): """ Reads from the caffe prototxt the network structure :param processed_deploy_prototxt: name of prototxt to load, preferably the prototxt should be processed before using a call to process_network_proto() :return: network_def, layer_name_to_record, top_to_layers network_def: caffe network structure, gives access to all the network information layer_name_to_record: ordered dictionary which maps between layer name and a structure which describes in a simple form the layer parameters top_to_layers: dictionary which maps a blob name to an ordered list of layers which output it when a top is used several times, like in inplace layhers, the list will contain all the layers by order of appearance """ from caffe.proto import caffe_pb2 from google.protobuf import text_format # pylint: disable=relative-import from collections import OrderedDict # load prototxt file network_def = caffe_pb2.NetParameter() with open(processed_deploy_prototxt, 'r') as proto_file: text_format.Merge(str(proto_file.read()), network_def) # map layer name to layer record layer_name_to_record = OrderedDict() for layer_def in network_def.layer: if (len(layer_def.include) == 0) or \ (caffe_pb2.TEST in [item.phase for item in layer_def.include]): layer_name_to_record[layer_def.name] = LayerRecord(layer_def) top_to_layers = dict() for layer in network_def.layer: # no specific phase, or TEST phase is specifically asked for if (len(layer.include) == 0) or (caffe_pb2.TEST in [item.phase for item in layer.include]): for top in layer.top: if top not in top_to_layers: top_to_layers[top] = list() top_to_layers[top].append(layer.name) # find parents and children of all layers for child_layer_name in layer_name_to_record.keys(): # pylint: disable=too-many-nested-blocks child_layer_def = layer_name_to_record[child_layer_name] for bottom in child_layer_def.bottoms: if bottom in top_to_layers: for parent_layer_name in top_to_layers[bottom]: if parent_layer_name in layer_name_to_record: parent_layer_def = layer_name_to_record[parent_layer_name] if parent_layer_def not in child_layer_def.parents: child_layer_def.parents.append(parent_layer_def) if child_layer_def not in parent_layer_def.children: parent_layer_def.children.append(child_layer_def) # update filter, strid, pad for maxout "structures" for layer_name in layer_name_to_record.keys(): layer_def = layer_name_to_record[layer_name] if layer_def.type == 'Eltwise' and \ len(layer_def.parents) == 1 and \ layer_def.parents[0].type == 'Slice' and \ len(layer_def.parents[0].parents) == 1 and \ layer_def.parents[0].parents[0].type in ['Convolution', 'InnerProduct']: layer_def.filter = layer_def.parents[0].parents[0].filter layer_def.stride = layer_def.parents[0].parents[0].stride layer_def.pad = layer_def.parents[0].parents[0].pad return network_def, layer_name_to_record, top_to_layers	python	def read_network_dag(processed_deploy_prototxt): """ Reads from the caffe prototxt the network structure :param processed_deploy_prototxt: name of prototxt to load, preferably the prototxt should be processed before using a call to process_network_proto() :return: network_def, layer_name_to_record, top_to_layers network_def: caffe network structure, gives access to all the network information layer_name_to_record: ordered dictionary which maps between layer name and a structure which describes in a simple form the layer parameters top_to_layers: dictionary which maps a blob name to an ordered list of layers which output it when a top is used several times, like in inplace layhers, the list will contain all the layers by order of appearance """ from caffe.proto import caffe_pb2 from google.protobuf import text_format # pylint: disable=relative-import from collections import OrderedDict # load prototxt file network_def = caffe_pb2.NetParameter() with open(processed_deploy_prototxt, 'r') as proto_file: text_format.Merge(str(proto_file.read()), network_def) # map layer name to layer record layer_name_to_record = OrderedDict() for layer_def in network_def.layer: if (len(layer_def.include) == 0) or \ (caffe_pb2.TEST in [item.phase for item in layer_def.include]): layer_name_to_record[layer_def.name] = LayerRecord(layer_def) top_to_layers = dict() for layer in network_def.layer: # no specific phase, or TEST phase is specifically asked for if (len(layer.include) == 0) or (caffe_pb2.TEST in [item.phase for item in layer.include]): for top in layer.top: if top not in top_to_layers: top_to_layers[top] = list() top_to_layers[top].append(layer.name) # find parents and children of all layers for child_layer_name in layer_name_to_record.keys(): # pylint: disable=too-many-nested-blocks child_layer_def = layer_name_to_record[child_layer_name] for bottom in child_layer_def.bottoms: if bottom in top_to_layers: for parent_layer_name in top_to_layers[bottom]: if parent_layer_name in layer_name_to_record: parent_layer_def = layer_name_to_record[parent_layer_name] if parent_layer_def not in child_layer_def.parents: child_layer_def.parents.append(parent_layer_def) if child_layer_def not in parent_layer_def.children: parent_layer_def.children.append(child_layer_def) # update filter, strid, pad for maxout "structures" for layer_name in layer_name_to_record.keys(): layer_def = layer_name_to_record[layer_name] if layer_def.type == 'Eltwise' and \ len(layer_def.parents) == 1 and \ layer_def.parents[0].type == 'Slice' and \ len(layer_def.parents[0].parents) == 1 and \ layer_def.parents[0].parents[0].type in ['Convolution', 'InnerProduct']: layer_def.filter = layer_def.parents[0].parents[0].filter layer_def.stride = layer_def.parents[0].parents[0].stride layer_def.pad = layer_def.parents[0].parents[0].pad return network_def, layer_name_to_record, top_to_layers	[ "def", "read_network_dag", "(", "processed_deploy_prototxt", ")", ":", "from", "caffe", ".", "proto", "import", 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"]", ".", "type", "in", "[", "'Convolution'", ",", "'InnerProduct'", "]", ":", "layer_def", ".", "filter", "=", "layer_def", ".", "parents", "[", "0", "]", ".", "parents", "[", "0", "]", ".", "filter", "layer_def", ".", "stride", "=", "layer_def", ".", "parents", "[", "0", "]", ".", "parents", "[", "0", "]", ".", "stride", "layer_def", ".", "pad", "=", "layer_def", ".", "parents", "[", "0", "]", ".", "parents", "[", "0", "]", ".", "pad", "return", "network_def", ",", "layer_name_to_record", ",", "top_to_layers" ]	Reads from the caffe prototxt the network structure :param processed_deploy_prototxt: name of prototxt to load, preferably the prototxt should be processed before using a call to process_network_proto() :return: network_def, layer_name_to_record, top_to_layers network_def: caffe network structure, gives access to all the network information layer_name_to_record: ordered dictionary which maps between layer name and a structure which describes in a simple form the layer 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"blob", "name", "to", "an", "ordered", "list", "of", "layers", "which", "output", "it", "when", "a", "top", "is", "used", "several", "times", "like", "in", "inplace", "layhers", "the", "list", "will", "contain", "all", "the", "layers", "by", "order", "of", "appearance" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/caffe_proto_utils.py#L117-L182	train	Reads from the caffe prototxt and returns the network structure and the top_to_layers dictionary	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(1252 - 1141) + chr(1935 - 1881) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b110001) + '\061' + '\x36', 33181 - 33173), ehT0Px3KOsy9(chr(1339 - 1291) + '\x6f' + '\x31' + chr(0b11011 + 0o25) + chr(0b11011 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10100 + 0o37) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1113 - 1065) + '\x6f' + chr(2065 - 2016) + chr(0b110101) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b11010 + 0o34) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x36' + chr(50), 53799 - 53791), ehT0Px3KOsy9('\060' + chr(8690 - 8579) + '\062' + chr(0b110101) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2652 - 2600) + '\065', 10611 - 10603), ehT0Px3KOsy9(chr(722 - 674) + chr(0b111101 + 0o62) + chr(0b1110 + 0o45) + chr(86 - 36) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10111 + 0o33) + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(538 - 490) + chr(11340 - 11229) + chr(50) + chr(54) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(0b11100 + 0o25) + chr(0b110100) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(51) + chr(0b110 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(950 - 902) + '\x6f' + '\061' + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b1000 + 0o55) + chr(2272 - 2219), 3105 - 3097), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b10 + 0o155) + chr(223 - 172) + chr(0b10000 + 0o40) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110111) + chr(51), 61879 - 61871), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\067' + '\x35', 43348 - 43340), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\063' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(393 - 344) + '\x36' + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + '\x32' + '\064' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(605 - 556), 13057 - 13049), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11001 + 0o31) + chr(0b11110 + 0o23) + chr(0b110111), 48883 - 48875), ehT0Px3KOsy9(chr(2053 - 2005) + chr(111) + '\065' + '\066', 37495 - 37487), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(51) + chr(0b110000 + 0o3), 5901 - 5893), ehT0Px3KOsy9('\x30' + '\157' + chr(1743 - 1692) + chr(54) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(0b1 + 0o57), 0b1000), ehT0Px3KOsy9('\x30' + chr(4646 - 4535) + chr(49) + chr(0b110001) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(2337 - 2288) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2305 - 2255) + chr(49) + '\063', 12714 - 12706), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + chr(0b10010 + 0o36), 1863 - 1855), ehT0Px3KOsy9(chr(1550 - 1502) + chr(0b101001 + 0o106) + '\062' + chr(0b10001 + 0o43) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b10000 + 0o40) + '\066', 28402 - 28394), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\x32' + chr(0b110001) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8312 - 8201) + chr(50) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1703 - 1653) + chr(51) + chr(0b100100 + 0o20), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x30' + '\x36', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b0 + 0o157) + '\065' + chr(0b10011 + 0o35), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c'), '\144' + chr(0b1100101) + chr(0b1100 + 0o127) + chr(12300 - 12189) + chr(0b1100100) + chr(0b1000110 + 0o37))(chr(6514 - 6397) + chr(5313 - 5197) + chr(102) + chr(0b1110 + 0o37) + chr(0b100111 + 0o21)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Ho6Ct9COlikw(_2jWGPOV6AAQ): (mZRfXumBxS_C,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b"Q/'{\n]\x82\xde\x8a\xa6\xc2"), chr(0b1100100) + '\x65' + '\143' + chr(111) + '\144' + chr(101))(chr(0b1110101) + chr(0b1000000 + 0o64) + chr(102) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b"Q/'{\n,\x82\xce\xd7"), chr(0b1100100) + chr(101) + chr(0b1011000 + 0o13) + chr(0b1101111) + '\x64' + chr(1536 - 1435))(chr(0b1110101) + chr(116) + chr(2373 - 2271) + chr(877 - 832) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'B<.i\x00'), '\144' + '\145' + chr(99) + '\157' + chr(0b1001000 + 0o34) + chr(101))(chr(0b1110101) + chr(116) + chr(805 - 703) + '\055' + chr(1920 - 1864))), xafqLlk3kkUe(SXOLrMavuUCe(b"Q/'{\n,\x82\xce\xd7"), chr(0b1011010 + 0o12) + '\145' + '\143' + chr(8093 - 7982) + '\x64' + chr(6546 - 6445))(chr(3372 - 3255) + chr(0b100110 + 0o116) + '\146' + '\055' + chr(0b111000))),) (nPPIdDq5p8yL,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'U!.z\x03\x16\xdc\xdc\x97\xbd\xd9\xda\x01@\xfb'), chr(100) + '\145' + chr(0b1011110 + 0o5) + '\x6f' + chr(100) + '\x65')('\x75' + chr(116) + '\146' + '\055' + chr(0b101 + 0o63)), xafqLlk3kkUe(SXOLrMavuUCe(b'F+9i0\x15\x9d\xde\x88\xb3\xd9'), chr(100) + chr(8924 - 8823) + '\x63' + '\x6f' + '\144' + chr(0b110 + 0o137))('\165' + '\x74' + chr(8061 - 7959) + chr(0b101101) + chr(0b110001 + 0o7))), xafqLlk3kkUe(SXOLrMavuUCe(b'B<.i\x00\x11\x87\xca'), chr(100) + '\x65' + chr(99) + chr(1942 - 1831) + '\x64' + chr(101))('\165' + '\x74' + '\146' + chr(0b111 + 0o46) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'F+9i0\x15\x9d\xde\x88\xb3\xd9'), '\144' + '\x65' + '\143' + chr(8473 - 8362) + '\x64' + '\145')('\165' + '\164' + '\146' + chr(0b1011 + 0o42) + chr(0b110010 + 0o6))),) (dckoaRguRn3D,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'Q!-q\n\x10\x86\xc5\x8a\xbc\xde'), chr(100) + chr(0b1100101) + chr(0b10100 + 0o117) + '\x6f' + chr(0b1101 + 0o127) + '\145')(chr(1833 - 1716) + chr(116) + '\x66' + chr(0b1110 + 0o37) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'}<%x\x1d\x16\x96\xe8\x8c\xb1\xd9'), '\144' + '\145' + chr(0b110000 + 0o63) + '\x6f' + chr(100) + chr(0b1011111 + 0o6))(chr(5289 - 5172) + chr(0b1110100) + chr(9338 - 9236) + '\055' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'}<%x\x1d\x16\x96\xe8\x8c\xb1\xd9'), '\x64' + chr(0b1001 + 0o134) + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(102) + '\055' + chr(0b111000))),) MdKacfWZprSh = mZRfXumBxS_C.NetParameter() with _fwkIVCGgtAN(_2jWGPOV6AAQ, xafqLlk3kkUe(SXOLrMavuUCe(b'@'), '\144' + '\x65' + chr(9794 - 9695) + chr(0b1101111) + chr(0b1001011 + 0o31) + chr(0b1100101))(chr(0b1110101) + chr(9580 - 9464) + chr(0b1011011 + 0o13) + chr(763 - 718) + '\070')) as mtmegEblfhcy: xafqLlk3kkUe(nPPIdDq5p8yL, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f+3z\n'), chr(100) + chr(0b1100011 + 0o2) + chr(0b1011100 + 0o7) + '\x6f' + chr(4756 - 4656) + chr(0b1100101))('\165' + chr(556 - 440) + '\146' + '\055' + chr(0b111000)))(M8_cKLkHVB2V(xafqLlk3kkUe(mtmegEblfhcy, xafqLlk3kkUe(SXOLrMavuUCe(b'gx\x0ct8\x01\x9a\xd9\xa6\xbb\x9f\xec'), '\144' + chr(0b11010 + 0o113) + chr(2094 - 1995) + '\x6f' + '\x64' + '\145')(chr(117) + chr(2347 - 2231) + chr(4437 - 4335) + chr(0b10100 + 0o31) + chr(0b10111 + 0o41)))()), MdKacfWZprSh) Dv9Yk_oCi25B = dckoaRguRn3D() for rwlLC1fwI5ee in xafqLlk3kkUe(MdKacfWZprSh, xafqLlk3kkUe(SXOLrMavuUCe(b'E) p!;\x82\xdc\x96\xa2\xf5\xdf'), '\x64' + '\145' + chr(3988 - 3889) + chr(10535 - 10424) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(102) + chr(45) + chr(0b110101 + 0o3))): if c2A0yzQpDQB3(xafqLlk3kkUe(rwlLC1fwI5ee, xafqLlk3kkUe(SXOLrMavuUCe(b'[ "q\x1a\x17\x97'), '\144' + chr(0b1100101) + '\x63' + '\157' + chr(0b101110 + 0o66) + chr(0b1100101))(chr(11515 - 11398) + '\x74' + '\x66' + chr(1851 - 1806) + '\070'))) == ehT0Px3KOsy9(chr(2277 - 2229) + chr(0b1100111 + 0o10) + '\x30', 8) or xafqLlk3kkUe(mZRfXumBxS_C, xafqLlk3kkUe(SXOLrMavuUCe(b'f\x0b\x12I'), chr(0b1 + 0o143) + chr(0b1100101) + chr(99) + '\157' + chr(100) + '\x65')(chr(0b1000100 + 0o61) + '\x74' + chr(0b10101 + 0o121) + '\055' + chr(1374 - 1318))) in [xafqLlk3kkUe(N7j7ePTXzzI0, xafqLlk3kkUe(SXOLrMavuUCe(b'B& n\n'), chr(1195 - 1095) + chr(3833 - 3732) + chr(0b110010 + 0o61) + chr(111) + '\144' + chr(0b1100101))('\165' + '\x74' + chr(102) + chr(45) + chr(0b111000))) for N7j7ePTXzzI0 in xafqLlk3kkUe(rwlLC1fwI5ee, xafqLlk3kkUe(SXOLrMavuUCe(b'[ "q\x1a\x17\x97'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(2898 - 2787) + chr(100) + chr(0b1100101))(chr(10267 - 10150) + chr(0b1110100) + chr(0b1000011 + 0o43) + chr(65 - 20) + chr(2224 - 2168)))]: Dv9Yk_oCi25B[rwlLC1fwI5ee.AIvJRzLdDfgF] = lRyFet3vvZNp(rwlLC1fwI5ee) AmdiEWkVfRV3 = wLqBDw8l0eIm() for wgamNHppspXj in xafqLlk3kkUe(MdKacfWZprSh, xafqLlk3kkUe(SXOLrMavuUCe(b'E) p!;\x82\xdc\x96\xa2\xf5\xdf'), '\x64' + chr(101) + chr(0b1100011) + chr(208 - 97) + chr(2736 - 2636) + '\145')(chr(0b1100100 + 0o21) + '\164' + '\x66' + chr(0b101101) + '\070')): if c2A0yzQpDQB3(xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'[ "q\x1a\x17\x97'), chr(4714 - 4614) + chr(8354 - 8253) + '\143' + '\157' + '\144' + chr(0b100100 + 0o101))(chr(6933 - 6816) + chr(0b1110100) + '\146' + chr(0b101100 + 0o1) + '\070'))) == ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110000), 8) or xafqLlk3kkUe(mZRfXumBxS_C, xafqLlk3kkUe(SXOLrMavuUCe(b'f\x0b\x12I'), chr(0b11010 + 0o112) + chr(7874 - 7773) + chr(9226 - 9127) + chr(11476 - 11365) + '\x64' + '\x65')('\165' + chr(0b101111 + 0o105) + chr(9208 - 9106) + chr(197 - 152) + chr(0b1100 + 0o54))) in [xafqLlk3kkUe(N7j7ePTXzzI0, xafqLlk3kkUe(SXOLrMavuUCe(b'B& n\n'), chr(100) + chr(0b100110 + 0o77) + chr(0b1100011) + chr(5209 - 5098) + chr(100) + chr(0b1100101))(chr(0b1110010 + 0o3) + chr(116) + chr(0b1100110) + chr(45) + chr(2568 - 2512))) for N7j7ePTXzzI0 in xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'[ "q\x1a\x17\x97'), chr(0b101 + 0o137) + '\x65' + '\143' + chr(7045 - 6934) + chr(0b110011 + 0o61) + chr(0b1100101))(chr(117) + chr(7556 - 7440) + chr(5820 - 5718) + chr(0b101101) + chr(2774 - 2718)))]: for qxrVBjeryNEZ in xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'C63K-\x19\x97\xde\x9c\x9c\xe8\xef'), '\x64' + '\145' + '\x63' + chr(111) + '\x64' + chr(101))(chr(0b110000 + 0o105) + chr(116) + '\146' + chr(746 - 701) + '\x38')): if qxrVBjeryNEZ not in AmdiEWkVfRV3: AmdiEWkVfRV3[qxrVBjeryNEZ] = YyaZ4tpXu4lf() xafqLlk3kkUe(AmdiEWkVfRV3[qxrVBjeryNEZ], xafqLlk3kkUe(SXOLrMavuUCe(b'S>1x\x01\x17'), chr(100) + '\145' + chr(99) + '\x6f' + '\x64' + chr(0b1001001 + 0o34))(chr(0b101101 + 0o110) + chr(0b1110100) + '\x66' + '\055' + chr(0b100100 + 0o24)))(xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b's\x077W=\t\xbe\xc8\xa1\xb4\xca\xf3'), chr(100) + chr(0b1000011 + 0o42) + chr(0b1000001 + 0o42) + '\x6f' + '\144' + '\x65')(chr(9812 - 9695) + chr(0b1110100) + chr(9557 - 9455) + chr(0b101101) + chr(0b10101 + 0o43)))) for lLp8Np7CddCt in xafqLlk3kkUe(Dv9Yk_oCi25B, xafqLlk3kkUe(SXOLrMavuUCe(b'Y+8n'), chr(0b1100100) + chr(0b1100101) + chr(0b10001 + 0o122) + '\157' + chr(0b1100100) + '\145')(chr(0b1001001 + 0o54) + chr(0b1110100) + chr(0b1011100 + 0o12) + chr(1401 - 1356) + chr(56)))(): MwU5my4tYD9v = Dv9Yk_oCi25B[lLp8Np7CddCt] for kXxsZxlIQUSQ in xafqLlk3kkUe(MwU5my4tYD9v, xafqLlk3kkUe(SXOLrMavuUCe(b'P!5i\x00\x1e\x81'), chr(2788 - 2688) + chr(10080 - 9979) + chr(0b101010 + 0o71) + chr(0b11001 + 0o126) + chr(7090 - 6990) + '\x65')(chr(0b1001101 + 0o50) + '\164' + '\x66' + '\055' + '\x38')): if kXxsZxlIQUSQ in AmdiEWkVfRV3: for KMrpkleC2DtO in AmdiEWkVfRV3[kXxsZxlIQUSQ]: if KMrpkleC2DtO in Dv9Yk_oCi25B: ZuJ_zHXnadvy = Dv9Yk_oCi25B[KMrpkleC2DtO] if ZuJ_zHXnadvy not in xafqLlk3kkUe(MwU5my4tYD9v, xafqLlk3kkUe(SXOLrMavuUCe(b'B/3x\x01\x07\x81'), '\x64' + chr(0b1100101) + chr(99) + chr(9436 - 9325) + chr(0b1010111 + 0o15) + '\145')(chr(117) + '\x74' + chr(0b1100100 + 0o2) + chr(0b101010 + 0o3) + '\070')): xafqLlk3kkUe(MwU5my4tYD9v.parents, xafqLlk3kkUe(SXOLrMavuUCe(b'S>1x\x01\x17'), chr(5134 - 5034) + '\145' + chr(0b1010110 + 0o15) + chr(111) + '\x64' + chr(101))(chr(117) + chr(116) + chr(6566 - 6464) + '\055' + chr(56)))(ZuJ_zHXnadvy) if MwU5my4tYD9v not in xafqLlk3kkUe(ZuJ_zHXnadvy, xafqLlk3kkUe(SXOLrMavuUCe(b'T,,~\x07\x16\x83\xcd\x86\x93\xd8\xc6'), chr(100) + chr(0b1001010 + 0o33) + chr(99) + chr(111) + chr(0b1001001 + 0o33) + chr(0b100000 + 0o105))(chr(0b111010 + 0o73) + chr(0b1110010 + 0o2) + chr(0b111 + 0o137) + chr(0b101101) + chr(0b111000))): xafqLlk3kkUe(ZuJ_zHXnadvy.children, xafqLlk3kkUe(SXOLrMavuUCe(b'S>1x\x01\x17'), '\144' + chr(0b11010 + 0o113) + chr(99) + '\x6f' + chr(0b1001111 + 0o25) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(745 - 700) + chr(0b111000)))(MwU5my4tYD9v) for YzJBPucQyDh2 in xafqLlk3kkUe(Dv9Yk_oCi25B, xafqLlk3kkUe(SXOLrMavuUCe(b'Y+8n'), chr(100) + '\x65' + chr(0b1100011) + chr(0b110011 + 0o74) + '\x64' + chr(1360 - 1259))('\165' + '\164' + chr(2744 - 2642) + '\x2d' + chr(56)))(): rwlLC1fwI5ee = Dv9Yk_oCi25B[YzJBPucQyDh2] if xafqLlk3kkUe(rwlLC1fwI5ee, xafqLlk3kkUe(SXOLrMavuUCe(b'E#\x10p\x16\x16\xa5\xee\x88\x87\xdd\xc3'), chr(0b1100100) + '\145' + '\143' + chr(3650 - 3539) + chr(0b10111 + 0o115) + chr(0b1100101))(chr(0b1110101) + chr(0b1011101 + 0o27) + '\x66' + chr(45) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'w"5j\x06\x00\x97'), '\x64' + chr(0b1001 + 0o134) + '\143' + chr(111) + '\x64' + chr(7116 - 7015))('\165' + chr(9666 - 9550) + '\x66' + chr(1863 - 1818) + chr(0b111000)) and c2A0yzQpDQB3(xafqLlk3kkUe(rwlLC1fwI5ee, xafqLlk3kkUe(SXOLrMavuUCe(b'B/3x\x01\x07\x81'), chr(0b1010111 + 0o15) + chr(0b1001011 + 0o32) + chr(4262 - 4163) + chr(11215 - 11104) + chr(0b1000010 + 0o42) + chr(5567 - 5466))(chr(4534 - 4417) + chr(116) + '\146' + '\055' + chr(0b111000)))) == ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + '\061', 0o10) and (xafqLlk3kkUe(rwlLC1fwI5ee.parents[ehT0Px3KOsy9(chr(1851 - 1803) + chr(897 - 786) + chr(48), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'E#\x10p\x16\x16\xa5\xee\x88\x87\xdd\xc3'), chr(0b1100100) + chr(6925 - 6824) + chr(0b1100011) + chr(11360 - 11249) + chr(100) + chr(101))('\x75' + chr(0b1110100) + '\146' + chr(45) + chr(2410 - 2354))) == xafqLlk3kkUe(SXOLrMavuUCe(b'a"(~\n'), '\x64' + '\145' + '\x63' + chr(6573 - 6462) + chr(3504 - 3404) + chr(101))('\165' + '\x74' + chr(1315 - 1213) + chr(1626 - 1581) + chr(477 - 421))) and (c2A0yzQpDQB3(xafqLlk3kkUe(rwlLC1fwI5ee.parents[ehT0Px3KOsy9(chr(0b110000) + chr(5012 - 4901) + '\060', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'B/3x\x01\x07\x81'), chr(6448 - 6348) + '\145' + chr(9012 - 8913) + '\x6f' + chr(0b10000 + 0o124) + chr(0b1100101))('\165' + '\x74' + '\x66' + chr(0b10100 + 0o31) + chr(0b111000)))) == ehT0Px3KOsy9(chr(1888 - 1840) + chr(0b1000110 + 0o51) + chr(0b0 + 0o61), 8)) and (xafqLlk3kkUe(rwlLC1fwI5ee.parents[ehT0Px3KOsy9(chr(510 - 462) + chr(1564 - 1453) + '\060', 8)].parents[ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\x30', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'E#\x10p\x16\x16\xa5\xee\x88\x87\xdd\xc3'), chr(7176 - 7076) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b100000 + 0o105))(chr(117) + chr(0b1000011 + 0o61) + chr(0b100 + 0o142) + chr(45) + chr(0b111000))) in [xafqLlk3kkUe(SXOLrMavuUCe(b'q!/k\x00\x1f\x87\xd8\x8c\xbd\xc3'), chr(0b101010 + 0o72) + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(0b101 + 0o140))(chr(117) + '\x74' + '\146' + '\055' + chr(312 - 256)), xafqLlk3kkUe(SXOLrMavuUCe(b'{ /x\x1d#\x80\xc3\x81\xa7\xce\xc1'), chr(0b1001001 + 0o33) + chr(3079 - 2978) + '\x63' + chr(111) + '\x64' + chr(0b1010 + 0o133))(chr(117) + chr(0b1000100 + 0o60) + chr(0b110110 + 0o60) + chr(1712 - 1667) + chr(0b111000))]): rwlLC1fwI5ee.hi1V0ySZcNds = rwlLC1fwI5ee.parents[ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8)].parents[ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110000), 8)].hi1V0ySZcNds rwlLC1fwI5ee.VKQ5wcD30goF = rwlLC1fwI5ee.parents[ehT0Px3KOsy9(chr(364 - 316) + chr(0b1101111) + chr(0b11111 + 0o21), 8)].parents[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8)].VKQ5wcD30goF rwlLC1fwI5ee.jq0C7ttmqXPS = rwlLC1fwI5ee.parents[ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8)].parents[ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + '\060', 8)].jq0C7ttmqXPS return (MdKacfWZprSh, Dv9Yk_oCi25B, AmdiEWkVfRV3)
apache/incubator-mxnet	tools/caffe_converter/caffe_proto_utils.py	read_caffe_mean	def read_caffe_mean(caffe_mean_file): """ Reads caffe formatted mean file :param caffe_mean_file: path to caffe mean file, presumably with 'binaryproto' suffix :return: mean image, converted from BGR to RGB format """ import caffe_parser import numpy as np mean_blob = caffe_parser.caffe_pb2.BlobProto() with open(caffe_mean_file, 'rb') as f: mean_blob.ParseFromString(f.read()) img_mean_np = np.array(mean_blob.data) img_mean_np = img_mean_np.reshape(mean_blob.channels, mean_blob.height, mean_blob.width) # swap channels from Caffe BGR to RGB img_mean_np[[0, 2], :, :] = img_mean_np[[2, 0], :, :] return img_mean_np	python	def read_caffe_mean(caffe_mean_file): """ Reads caffe formatted mean file :param caffe_mean_file: path to caffe mean file, presumably with 'binaryproto' suffix :return: mean image, converted from BGR to RGB format """ import caffe_parser import numpy as np mean_blob = caffe_parser.caffe_pb2.BlobProto() with open(caffe_mean_file, 'rb') as f: mean_blob.ParseFromString(f.read()) img_mean_np = np.array(mean_blob.data) img_mean_np = img_mean_np.reshape(mean_blob.channels, mean_blob.height, mean_blob.width) # swap channels from Caffe BGR to RGB img_mean_np[[0, 2], :, :] = img_mean_np[[2, 0], :, :] return img_mean_np	[ "def", "read_caffe_mean", "(", "caffe_mean_file", ")", ":", "import", "caffe_parser", "import", "numpy", "as", "np", "mean_blob", "=", "caffe_parser", ".", "caffe_pb2", ".", "BlobProto", "(", ")", "with", "open", "(", "caffe_mean_file", ",", "'rb'", ")", "as", "f", ":", "mean_blob", ".", "ParseFromString", "(", "f", ".", "read", "(", ")", ")", "img_mean_np", "=", "np", ".", "array", "(", "mean_blob", ".", "data", ")", "img_mean_np", "=", "img_mean_np", ".", "reshape", "(", "mean_blob", ".", "channels", ",", "mean_blob", ".", "height", ",", "mean_blob", ".", "width", ")", "# swap channels from Caffe BGR to RGB", "img_mean_np", "[", "[", "0", ",", "2", "]", ",", ":", ",", ":", "]", "=", "img_mean_np", "[", "[", "2", ",", "0", "]", ",", ":", ",", ":", "]", "return", "img_mean_np" ]	Reads caffe formatted mean file :param caffe_mean_file: path to caffe mean file, presumably with 'binaryproto' suffix :return: mean image, converted from BGR to RGB format	[ "Reads", "caffe", "formatted", "mean", "file", ":", "param", "caffe_mean_file", ":", "path", "to", "caffe", "mean", "file", "presumably", "with", "binaryproto", "suffix", ":", "return", ":", "mean", "image", "converted", "from", "BGR", "to", "RGB", "format" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/caffe_proto_utils.py#L185-L204	train	Reads caffe formatted mean file and returns array of RGB image	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(1957 - 1909) + chr(111) + chr(0b110011) + chr(982 - 930) + chr(0b11111 + 0o21), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(52) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b11101 + 0o32) + chr(2212 - 2160), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1853 - 1742) + '\x32' + chr(53), 22733 - 22725), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(51) + chr(54) + chr(2296 - 2243), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o34) + chr(0b110001) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(51) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + '\x35', 64612 - 64604), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o35) + chr(1081 - 1031) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(48) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(2170 - 2122) + chr(8894 - 8783) + chr(759 - 710) + '\x37' + chr(53), 6803 - 6795), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\062' + chr(0b110001) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2715 - 2660), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(1095 - 1044) + '\x35' + chr(0b110010 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + '\x33' + chr(0b100001 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(0b110011) + chr(583 - 529) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(1903 - 1848) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11011 + 0o30) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b101101 + 0o5) + chr(49) + '\060', 0o10), ehT0Px3KOsy9(chr(1951 - 1903) + chr(5362 - 5251) + '\x32' + '\063' + '\x36', 31803 - 31795), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + '\062' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110100) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b0 + 0o67) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2063 - 2013) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(330 - 282) + chr(0b101101 + 0o102) + '\x32' + chr(1995 - 1944) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(1626 - 1575) + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\062' + chr(53) + '\061', 0o10), ehT0Px3KOsy9(chr(390 - 342) + chr(9178 - 9067) + '\x31' + '\x37' + chr(85 - 30), ord("\x08")), ehT0Px3KOsy9(chr(789 - 741) + '\157' + chr(2292 - 2241) + '\x34' + chr(1861 - 1811), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7913 - 7802) + chr(0b101111 + 0o2) + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b11111 + 0o27) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(9888 - 9777) + '\x33' + chr(395 - 343) + chr(1412 - 1360), 8446 - 8438), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(0b110001) + chr(0b100110 + 0o12) + chr(0b101111 + 0o2), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(0b101 + 0o56) + chr(0b110110) + chr(0b10010 + 0o43), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(376 - 323), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(49) + chr(0b1110 + 0o51) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7892 - 7781) + chr(0b110010) + chr(1398 - 1349) + '\062', 28768 - 28760), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110101) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(54) + chr(54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b1011 + 0o52) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xce'), '\x64' + chr(0b1100101) + chr(0b100101 + 0o76) + chr(0b1101111) + chr(100) + chr(6132 - 6031))(chr(0b1110101) + '\x74' + chr(9575 - 9473) + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def UeQAPEfWWI8a(kA7nw31EqlHc): (T8Gj9SRAp9oN,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x07\x1as\x90\x96ld\xe2\xb7\x18\xf9'), '\x64' + chr(0b110 + 0o137) + chr(0b1100011) + chr(0b1001100 + 0o43) + chr(3342 - 3242) + chr(0b1011000 + 0o15))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(1568 - 1523) + chr(56))),) (WqUC3KWvYVup,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x13\x11e\x8c'), chr(100) + '\x65' + chr(0b1100011) + chr(3733 - 3622) + '\x64' + chr(0b1100101))('\x75' + chr(116) + '\x66' + '\x2d' + chr(0b111000))),) tMLFWgwzxKSl = T8Gj9SRAp9oN.caffe_pb2.BlobProto() with _fwkIVCGgtAN(kA7nw31EqlHc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\x04'), '\144' + chr(0b1100101) + '\x63' + chr(11752 - 11641) + chr(0b11001 + 0o113) + chr(101))('\165' + '\x74' + chr(102) + chr(0b101101) + '\070')) as EGyt1xfPT1P6: xafqLlk3kkUe(tMLFWgwzxKSl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x07\x0ef\x90\x8fnj\xfd\x97\t\xf9n\x85y'), '\x64' + chr(5102 - 5001) + chr(0b101 + 0o136) + '\x6f' + '\x64' + chr(0b110011 + 0o62))('\x75' + chr(116) + chr(102) + '\x2d' + chr(2311 - 2255)))(xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5P1\|\xa2\xbbtp\xd3\xadO\xd2'), chr(7624 - 7524) + chr(0b1100101) + chr(0b1100011) + chr(4246 - 4135) + chr(100) + chr(101))('\x75' + chr(7292 - 7176) + chr(0b101 + 0o141) + chr(359 - 314) + chr(0b101101 + 0o13)))()) aWhtx_Qrnp1V = WqUC3KWvYVup.B0ePDhpqxN5n(tMLFWgwzxKSl.ULnjp6D6efFH) aWhtx_Qrnp1V = aWhtx_Qrnp1V.reshape(tMLFWgwzxKSl.channels, tMLFWgwzxKSl.ehbUULKuygfC, tMLFWgwzxKSl.mPx09rBTrGXR) aWhtx_Qrnp1V[[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10110 + 0o34), 0b1000)], :, :] = aWhtx_Qrnp1V[[ehT0Px3KOsy9(chr(569 - 521) + '\157' + chr(50), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\x30', 8)], :, :] return aWhtx_Qrnp1V
apache/incubator-mxnet	example/gluon/embedding_learning/model.py	get_distance	def get_distance(F, x): """Helper function for margin-based loss. Return a distance matrix given a matrix.""" n = x.shape[0] square = F.sum(x ** 2.0, axis=1, keepdims=True) distance_square = square + square.transpose() - (2.0 * F.dot(x, x.transpose())) # Adding identity to make sqrt work. return F.sqrt(distance_square + F.array(np.identity(n)))	python	def get_distance(F, x): """Helper function for margin-based loss. Return a distance matrix given a matrix.""" n = x.shape[0] square = F.sum(x ** 2.0, axis=1, keepdims=True) distance_square = square + square.transpose() - (2.0 * F.dot(x, x.transpose())) # Adding identity to make sqrt work. return F.sqrt(distance_square + F.array(np.identity(n)))	[ "def", "get_distance", "(", "F", ",", "x", ")", ":", "n", "=", "x", ".", "shape", "[", "0", "]", "square", "=", "F", ".", "sum", "(", "x", "*", "2.0", ",", "axis", "=", "1", ",", "keepdims", "=", "True", ")", "distance_square", "=", "square", "+", "square", ".", "transpose", "(", ")", "-", "(", "2.0", "", "F", ".", "dot", "(", "x", ",", "x", ".", "transpose", "(", ")", ")", ")", "# Adding identity to make sqrt work.", "return", "F", ".", "sqrt", "(", "distance_square", "+", "F", ".", "array", "(", "np", ".", "identity", "(", "n", ")", ")", ")" ]	Helper function for margin-based loss. Return a distance matrix given a matrix.	[ "Helper", "function", "for", "margin", "-", "based", "loss", ".", "Return", "a", "distance", "matrix", "given", "a", "matrix", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/embedding_learning/model.py#L51-L59	train	Helper function for margin - based loss. Return a distance matrix given a matrix.	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(1880 - 1832) + '\x6f' + chr(0b110001) + '\x34' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11944 - 11833) + '\063' + chr(0b100010 + 0o25) + chr(51), 3256 - 3248), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(55) + chr(0b10000 + 0o47), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(51) + '\x30', 45572 - 45564), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11 + 0o60) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(49) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\066' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1278 - 1167) + '\064' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(0b110001) + chr(1837 - 1789) + '\x37', 0b1000), ehT0Px3KOsy9(chr(744 - 696) + chr(111) + chr(0b100001 + 0o20) + '\x37' + chr(0b10100 + 0o36), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1892 - 1842) + '\x35' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(51) + chr(250 - 195), 0b1000), ehT0Px3KOsy9(chr(370 - 322) + chr(0b1001100 + 0o43) + chr(49) + chr(53) + chr(0b101101 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(55) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(12251 - 12140) + chr(593 - 543) + chr(2124 - 2069), 0o10), ehT0Px3KOsy9(chr(450 - 402) + chr(0b1101111) + '\x33' + '\064' + chr(1409 - 1357), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1527 - 1476) + chr(1421 - 1370) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1137 - 1086) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(54) + chr(0b11100 + 0o26), 21379 - 21371), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(49) + chr(51) + '\060', 61555 - 61547), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(7076 - 6965) + '\062' + '\066' + chr(2026 - 1974), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1101 + 0o46) + '\x35' + chr(53), 12375 - 12367), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b101011 + 0o7) + chr(564 - 516), 22089 - 22081), ehT0Px3KOsy9(chr(1916 - 1868) + '\x6f' + chr(174 - 125) + '\062' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\063' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(54) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1656 - 1602) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + chr(1994 - 1944) + chr(0b101101 + 0o5) + chr(0b101101 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(431 - 382) + chr(2360 - 2307) + chr(171 - 116), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011 + 0o2) + chr(2716 - 2663), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11101 + 0o25) + chr(52) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(53) + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2149 - 2098) + chr(52) + chr(2307 - 2257), ord("\x08")), ehT0Px3KOsy9(chr(2089 - 2041) + '\157' + chr(0b110100) + '\062', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\064' + chr(788 - 739), 39028 - 39020), ehT0Px3KOsy9(chr(1481 - 1433) + chr(0b100110 + 0o111) + chr(0b100011 + 0o17) + chr(0b110 + 0o56) + chr(0b110010), 910 - 902), ehT0Px3KOsy9('\x30' + chr(9240 - 9129) + chr(0b1011 + 0o51) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1986 - 1938) + chr(1989 - 1878) + chr(53) + chr(739 - 684), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(665 - 617) + chr(9040 - 8929) + '\065' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'H'), chr(0b1100100) + chr(0b1100101) + chr(7510 - 7411) + chr(0b1011001 + 0o26) + chr(100) + chr(7337 - 7236))(chr(0b101111 + 0o106) + chr(116) + chr(0b1100110) + chr(1658 - 1613) + chr(485 - 429)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def JXv48QTUJnZ9(TFxWKtvJC3ep, OeWW0F1dBPRQ): m1NkCryOw9Bx = OeWW0F1dBPRQ.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 19217 - 19209)] eZPG4oRkYRgb = TFxWKtvJC3ep.xkxBmo49x2An(OeWW0F1dBPRQ ** 2.0, axis=ehT0Px3KOsy9('\x30' + chr(111) + chr(2102 - 2053), ord("\x08")), keepdims=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8)) gcy9uu5Ktc4f = eZPG4oRkYRgb + eZPG4oRkYRgb.transpose() - 2.0 * TFxWKtvJC3ep.dot(OeWW0F1dBPRQ, OeWW0F1dBPRQ.transpose()) return xafqLlk3kkUe(TFxWKtvJC3ep, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\x8a\xcdl'), chr(0b1100011 + 0o1) + chr(0b1010100 + 0o21) + chr(4872 - 4773) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(102) + '\055' + '\x38'))(gcy9uu5Ktc4f + xafqLlk3kkUe(TFxWKtvJC3ep, xafqLlk3kkUe(SXOLrMavuUCe(b'$\xcb\xdaH_\xa7\x06S?4\x98\xf1'), chr(717 - 617) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(4906 - 4805))(chr(0b1110101) + '\x74' + chr(102) + chr(45) + '\070'))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xbd\xea_.\xa2=z$\x0c\xf4\xd8'), chr(7144 - 7044) + chr(101) + chr(0b111011 + 0o50) + chr(399 - 288) + chr(0b1100100) + '\145')(chr(117) + '\164' + chr(0b11111 + 0o107) + '\x2d' + '\070'))(m1NkCryOw9Bx)))
apache/incubator-mxnet	example/rnn/large_word_lm/model.py	cross_entropy_loss	def cross_entropy_loss(inputs, labels, rescale_loss=1): """ cross entropy loss with a mask """ criterion = mx.gluon.loss.SoftmaxCrossEntropyLoss(weight=rescale_loss) loss = criterion(inputs, labels) mask = S.var('mask') loss = loss * S.reshape(mask, shape=(-1,)) return S.make_loss(loss.mean())	python	def cross_entropy_loss(inputs, labels, rescale_loss=1): """ cross entropy loss with a mask """ criterion = mx.gluon.loss.SoftmaxCrossEntropyLoss(weight=rescale_loss) loss = criterion(inputs, labels) mask = S.var('mask') loss = loss * S.reshape(mask, shape=(-1,)) return S.make_loss(loss.mean())	[ "def", "cross_entropy_loss", "(", "inputs", ",", "labels", ",", "rescale_loss", "=", "1", ")", ":", "criterion", "=", "mx", ".", "gluon", ".", "loss", ".", "SoftmaxCrossEntropyLoss", "(", "weight", "=", "rescale_loss", ")", "loss", "=", "criterion", "(", "inputs", ",", "labels", ")", "mask", "=", "S", ".", "var", "(", "'mask'", ")", "loss", "=", "loss", "*", "S", ".", "reshape", "(", "mask", ",", "shape", "=", "(", "-", "1", ",", ")", ")", "return", "S", ".", "make_loss", "(", "loss", ".", "mean", "(", ")", ")" ]	cross entropy loss with a mask	[ "cross", "entropy", "loss", "with", "a", "mask" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rnn/large_word_lm/model.py#L39-L45	train	cross entropy loss with a mask	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(379 - 268) + '\x31' + chr(49) + chr(0b110010), 48287 - 48279), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b101001 + 0o14) + chr(2104 - 2051), 3133 - 3125), ehT0Px3KOsy9('\060' + '\157' + '\066' + chr(2759 - 2704), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(1569 - 1520) + '\063', 64409 - 64401), ehT0Px3KOsy9('\x30' + '\x6f' + chr(818 - 769) + '\x32' + chr(1772 - 1721), 27722 - 27714), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11011 + 0o34) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110111) + '\062', 29371 - 29363), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b1001 + 0o56) + chr(0b101001 + 0o13), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b10100 + 0o37) + chr(0b110110) + chr(1071 - 1019), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b110011) + chr(0b1011 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\063' + '\x35' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1264 - 1153) + chr(0b101 + 0o54) + chr(0b110000) + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b1110 + 0o43) + chr(51) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b11011 + 0o26) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + '\x33' + '\x35', 0o10), ehT0Px3KOsy9(chr(943 - 895) + '\x6f' + chr(0b110010) + '\064' + chr(49), 32370 - 32362), ehT0Px3KOsy9(chr(48) + chr(8580 - 8469) + '\061' + chr(0b1010 + 0o46) + chr(51), 49401 - 49393), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1011011 + 0o24) + chr(49) + chr(1542 - 1487) + chr(0b110110 + 0o1), 0b1000), ehT0Px3KOsy9('\060' + chr(5308 - 5197) + chr(0b110010) + '\062' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(50) + chr(228 - 173) + chr(632 - 583), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2257 - 2208) + '\060' + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(11786 - 11675) + chr(2149 - 2096), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(1562 - 1513) + '\060' + chr(0b101000 + 0o14), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(54) + chr(1703 - 1652), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + chr(1746 - 1691) + '\066', 0o10), ehT0Px3KOsy9(chr(985 - 937) + chr(0b1101111) + '\x33' + chr(1458 - 1410) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(0b110011) + chr(0b110000 + 0o7) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(869 - 821) + chr(0b1010100 + 0o33) + '\x33' + chr(0b11001 + 0o36) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000 + 0o3) + chr(0b110110) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x32' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(640 - 592) + '\157' + '\062' + '\x37' + '\067', 45170 - 45162), ehT0Px3KOsy9('\x30' + chr(111) + chr(1214 - 1164) + '\x32' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\061' + chr(0b110010), 48965 - 48957), ehT0Px3KOsy9('\060' + chr(3924 - 3813) + chr(0b11101 + 0o24) + '\x30' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8959 - 8848) + '\x31' + chr(0b10011 + 0o40) + chr(0b101011 + 0o6), 27864 - 27856)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'd'), chr(100) + chr(8770 - 8669) + chr(0b1100011 + 0o0) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b111 + 0o155) + '\x66' + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def BczN2y5VSk7y(vXoupepMtCXU, uXMK81tmdpTM, nBzCgLndp5pd=ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + chr(0b110001), 0b1000)): GSjp6Y0QBh5U = CIVheOt0RKQX.gluon.loss.SoftmaxCrossEntropyLoss(weight=nBzCgLndp5pd) YpO0BcZ6fMsf = GSjp6Y0QBh5U(vXoupepMtCXU, uXMK81tmdpTM) Iz1jSgUKZDvt = QXIpkjdeayVc.l38lb8xQZNsE(xafqLlk3kkUe(SXOLrMavuUCe(b"'n\x9e\\"), chr(100) + '\145' + chr(6884 - 6785) + '\x6f' + chr(0b100110 + 0o76) + '\x65')(chr(12709 - 12592) + '\164' + '\146' + chr(1772 - 1727) + '\070')) YpO0BcZ6fMsf = YpO0BcZ6fMsf * QXIpkjdeayVc.reshape(Iz1jSgUKZDvt, shape=(-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8),)) return xafqLlk3kkUe(QXIpkjdeayVc, xafqLlk3kkUe(SXOLrMavuUCe(b"'n\x86R\x94?kIw"), chr(0b1100100) + chr(0b1100101) + chr(0b101100 + 0o67) + chr(0b1011110 + 0o21) + '\x64' + chr(101))(chr(117) + '\164' + '\146' + chr(45) + chr(0b110110 + 0o2)))(xafqLlk3kkUe(YpO0BcZ6fMsf, xafqLlk3kkUe(SXOLrMavuUCe(b'+E\x85~\xbf\x10[le\rP}'), '\x64' + chr(0b1010 + 0o133) + chr(996 - 897) + chr(0b1101 + 0o142) + chr(2966 - 2866) + chr(9764 - 9663))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + chr(0b111 + 0o61)))())
apache/incubator-mxnet	example/rnn/large_word_lm/model.py	rnn	def rnn(bptt, vocab_size, num_embed, nhid, num_layers, dropout, num_proj, batch_size): """ word embedding + LSTM Projected """ state_names = [] data = S.var('data') weight = S.var("encoder_weight", stype='row_sparse') embed = S.sparse.Embedding(data=data, weight=weight, input_dim=vocab_size, output_dim=num_embed, name='embed', sparse_grad=True) states = [] outputs = S.Dropout(embed, p=dropout) for i in range(num_layers): prefix = 'lstmp%d_' % i init_h = S.var(prefix + 'init_h', shape=(batch_size, num_proj), init=mx.init.Zero()) init_c = S.var(prefix + 'init_c', shape=(batch_size, nhid), init=mx.init.Zero()) state_names += [prefix + 'init_h', prefix + 'init_c'] lstmp = mx.gluon.contrib.rnn.LSTMPCell(nhid, num_proj, prefix=prefix) outputs, next_states = lstmp.unroll(bptt, outputs, begin_state=[init_h, init_c], \ layout='NTC', merge_outputs=True) outputs = S.Dropout(outputs, p=dropout) states += [S.stop_gradient(s) for s in next_states] outputs = S.reshape(outputs, shape=(-1, num_proj)) trainable_lstm_args = [] for arg in outputs.list_arguments(): if 'lstmp' in arg and 'init' not in arg: trainable_lstm_args.append(arg) return outputs, states, trainable_lstm_args, state_names	python	def rnn(bptt, vocab_size, num_embed, nhid, num_layers, dropout, num_proj, batch_size): """ word embedding + LSTM Projected """ state_names = [] data = S.var('data') weight = S.var("encoder_weight", stype='row_sparse') embed = S.sparse.Embedding(data=data, weight=weight, input_dim=vocab_size, output_dim=num_embed, name='embed', sparse_grad=True) states = [] outputs = S.Dropout(embed, p=dropout) for i in range(num_layers): prefix = 'lstmp%d_' % i init_h = S.var(prefix + 'init_h', shape=(batch_size, num_proj), init=mx.init.Zero()) init_c = S.var(prefix + 'init_c', shape=(batch_size, nhid), init=mx.init.Zero()) state_names += [prefix + 'init_h', prefix + 'init_c'] lstmp = mx.gluon.contrib.rnn.LSTMPCell(nhid, num_proj, prefix=prefix) outputs, next_states = lstmp.unroll(bptt, outputs, begin_state=[init_h, init_c], \ layout='NTC', merge_outputs=True) outputs = S.Dropout(outputs, p=dropout) states += [S.stop_gradient(s) for s in next_states] outputs = S.reshape(outputs, shape=(-1, num_proj)) trainable_lstm_args = [] for arg in outputs.list_arguments(): if 'lstmp' in arg and 'init' not in arg: trainable_lstm_args.append(arg) return outputs, states, trainable_lstm_args, state_names	[ "def", "rnn", "(", "bptt", ",", "vocab_size", ",", "num_embed", ",", "nhid", ",", "num_layers", ",", "dropout", ",", "num_proj", ",", "batch_size", ")", ":", "state_names", "=", "[", "]", "data", "=", "S", ".", "var", "(", "'data'", ")", "weight", "=", "S", ".", "var", "(", "\"encoder_weight\"", ",", "stype", "=", "'row_sparse'", ")", "embed", "=", "S", ".", "sparse", ".", "Embedding", "(", "data", "=", "data", ",", "weight", "=", "weight", ",", "input_dim", "=", "vocab_size", ",", "output_dim", "=", "num_embed", ",", "name", "=", "'embed'", ",", "sparse_grad", "=", "True", ")", "states", "=", "[", "]", "outputs", "=", "S", ".", "Dropout", "(", "embed", ",", "p", "=", "dropout", ")", "for", "i", "in", "range", "(", "num_layers", ")", ":", "prefix", "=", "'lstmp%d_'", "%", "i", "init_h", "=", "S", ".", "var", "(", "prefix", "+", "'init_h'", ",", "shape", "=", "(", "batch_size", ",", "num_proj", ")", ",", "init", "=", "mx", ".", "init", ".", "Zero", "(", ")", ")", "init_c", "=", "S", ".", "var", "(", "prefix", "+", "'init_c'", ",", "shape", "=", "(", "batch_size", ",", "nhid", ")", ",", "init", "=", "mx", ".", "init", ".", "Zero", "(", ")", ")", "state_names", "+=", "[", "prefix", "+", "'init_h'", ",", "prefix", "+", "'init_c'", "]", "lstmp", "=", "mx", ".", "gluon", ".", "contrib", ".", "rnn", ".", "LSTMPCell", "(", "nhid", ",", "num_proj", ",", "prefix", "=", "prefix", ")", "outputs", ",", "next_states", "=", "lstmp", ".", "unroll", "(", "bptt", ",", "outputs", ",", "begin_state", "=", "[", "init_h", ",", "init_c", "]", ",", "layout", "=", "'NTC'", ",", "merge_outputs", "=", "True", ")", "outputs", "=", "S", ".", "Dropout", "(", "outputs", ",", "p", "=", "dropout", ")", "states", "+=", "[", "S", ".", "stop_gradient", "(", "s", ")", "for", "s", "in", "next_states", "]", "outputs", "=", "S", ".", "reshape", "(", "outputs", ",", "shape", "=", "(", "-", "1", ",", "num_proj", ")", ")", "trainable_lstm_args", "=", "[", "]", "for", "arg", "in", "outputs", ".", "list_arguments", "(", ")", ":", "if", "'lstmp'", "in", "arg", "and", "'init'", "not", "in", "arg", ":", "trainable_lstm_args", ".", "append", "(", "arg", ")", "return", "outputs", ",", "states", ",", "trainable_lstm_args", ",", "state_names" ]	word embedding + LSTM Projected	[ "word", "embedding", "+", "LSTM", "Projected" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rnn/large_word_lm/model.py#L47-L72	train	word embedding + LSTM Projected	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(0b10010 + 0o36) + chr(0b1100101 + 0o12) + '\x32' + '\062', 4896 - 4888), ehT0Px3KOsy9('\x30' + chr(11508 - 11397) + chr(0b110001 + 0o0) + '\060' + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(851 - 798) + chr(0b101001 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111 + 0o0) + '\x31' + '\060' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(620 - 572) + chr(111) + chr(1945 - 1896) + chr(0b11100 + 0o26) + chr(910 - 862), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + chr(0b10110 + 0o33) + chr(0b110000) + chr(967 - 914), 8), ehT0Px3KOsy9(chr(48) + chr(7326 - 7215) + '\x37' + '\064', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b110 + 0o151) + chr(2560 - 2509) + chr(447 - 399) + '\x35', 62514 - 62506), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(0b100001 + 0o23) + '\064', 0o10), ehT0Px3KOsy9(chr(1541 - 1493) + '\x6f' + '\061' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8263 - 8152) + chr(49) + chr(55) + chr(0b10010 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\065' + chr(2084 - 2036), 11136 - 11128), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + chr(1609 - 1558), 30780 - 30772), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(112 - 64), 1044 - 1036), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1111 + 0o42) + '\x33' + chr(0b101000 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12104 - 11993) + '\063' + '\064' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\063' + chr(49) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1077 - 1028) + '\060' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9848 - 9737) + '\x31' + chr(50) + chr(0b110001), 55525 - 55517), ehT0Px3KOsy9('\x30' + '\157' + '\065' + '\x32', 42193 - 42185), ehT0Px3KOsy9(chr(1295 - 1247) + chr(4522 - 4411) + chr(50) + '\066' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\062' + chr(0b110111), 64358 - 64350), ehT0Px3KOsy9(chr(2024 - 1976) + chr(5049 - 4938) + chr(51) + chr(690 - 642) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100100 + 0o17) + '\063' + '\x30', 57156 - 57148), ehT0Px3KOsy9(chr(48) + chr(7460 - 7349) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(0b110011) + '\x37' + chr(2049 - 2000), 55434 - 55426), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(559 - 508) + chr(50) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x30' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10111 + 0o33) + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b10010 + 0o36), 44163 - 44155), ehT0Px3KOsy9('\x30' + chr(8925 - 8814) + chr(0b110011) + chr(1444 - 1391), 18962 - 18954), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(0b110011) + '\x37' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x31' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b101110 + 0o101) + chr(51) + chr(2487 - 2432) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10458 - 10347) + '\x33' + chr(765 - 710) + '\x36', 8), ehT0Px3KOsy9(chr(2039 - 1991) + chr(0b11 + 0o154) + chr(0b11011 + 0o30) + chr(0b110010 + 0o4) + chr(0b11011 + 0o27), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + '\063' + '\x31' + '\061', 8), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b11110 + 0o23) + chr(0b110100), 63939 - 63931), ehT0Px3KOsy9(chr(1015 - 967) + chr(0b1101111) + chr(50) + chr(48) + '\x36', 8), ehT0Px3KOsy9(chr(102 - 54) + chr(111) + chr(0b101000 + 0o13) + chr(49) + chr(0b110111), 47576 - 47568)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + '\x35' + chr(0b101001 + 0o7), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'<'), chr(8663 - 8563) + chr(4094 - 3993) + '\143' + chr(5041 - 4930) + chr(0b1010111 + 0o15) + chr(0b1100101))('\165' + chr(0b1000111 + 0o55) + chr(6887 - 6785) + chr(0b0 + 0o55) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def eUZVyBXfzBUn(i3PsbB2LjkZm, CeyMIoSyrpkQ, i8ir4zb5Nv9a, OzOEI2Bnergh, uftkTXJyNORO, ag0mwEgWzjYv, OO5ZCPOMlETl, ix9dZyeAmUxY): ikwgZyutx7QG = [] ULnjp6D6efFH = QXIpkjdeayVc.l38lb8xQZNsE(xafqLlk3kkUe(SXOLrMavuUCe(b'v$\xdb"'), chr(3789 - 3689) + chr(4280 - 4179) + chr(0b1100011) + chr(0b1101111) + chr(7303 - 7203) + chr(0b1100101))(chr(0b1110101) + chr(0b1010100 + 0o40) + chr(0b1100110) + chr(45) + chr(2023 - 1967))) C0mVSPj6WjvB = QXIpkjdeayVc.l38lb8xQZNsE(xafqLlk3kkUe(SXOLrMavuUCe(b'w+\xcc,4 N\x9aSm\x14\x8fKt'), '\x64' + '\x65' + chr(0b111000 + 0o53) + chr(0b1101111) + chr(0b1000110 + 0o36) + chr(0b1101 + 0o130))('\x75' + chr(0b1011111 + 0o25) + chr(102) + chr(45) + '\070'), stype=xafqLlk3kkUe(SXOLrMavuUCe(b'`*\xd8\x1c#5]\xb7Wm'), chr(938 - 838) + '\x65' + '\143' + chr(0b100011 + 0o114) + chr(1568 - 1468) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b10 + 0o66))) DSKhI6I667G0 = QXIpkjdeayVc.sparse.Embedding(data=ULnjp6D6efFH, weight=C0mVSPj6WjvB, input_dim=CeyMIoSyrpkQ, output_dim=i8ir4zb5Nv9a, name=xafqLlk3kkUe(SXOLrMavuUCe(b'w(\xcd&4'), chr(0b1011001 + 0o13) + chr(101) + chr(0b110110 + 0o55) + chr(111) + chr(100) + '\x65')('\165' + '\x74' + chr(102) + chr(0b11001 + 0o24) + '\x38'), sparse_grad=ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\x31', 0b1000)) jI0E6zso5mLP = [] Dx_DllZ8uCko = QXIpkjdeayVc.Dropout(DSKhI6I667G0, p=ag0mwEgWzjYv) for WVxHKyX45z_L in vQr8gNKaIaWE(uftkTXJyNORO): K1Ha0XjJTAE7 = xafqLlk3kkUe(SXOLrMavuUCe(b'~6\xdb. `X\x9a'), chr(100) + '\x65' + chr(0b1100011) + chr(111) + '\x64' + chr(0b111110 + 0o47))(chr(0b110100 + 0o101) + '\x74' + chr(0b1100110) + chr(932 - 887) + chr(56)) % WVxHKyX45z_L noBjVAdiYI98 = QXIpkjdeayVc.l38lb8xQZNsE(K1Ha0XjJTAE7 + xafqLlk3kkUe(SXOLrMavuUCe(b'{+\xc67\x0f-'), chr(0b1100100) + chr(101) + chr(9468 - 9369) + '\x6f' + chr(0b1 + 0o143) + chr(5299 - 5198))(chr(4007 - 3890) + chr(0b1110100) + '\146' + '\055' + '\070'), shape=(ix9dZyeAmUxY, OO5ZCPOMlETl), init=CIVheOt0RKQX.init.Zero()) CDem9Nsq3duk = QXIpkjdeayVc.l38lb8xQZNsE(K1Ha0XjJTAE7 + xafqLlk3kkUe(SXOLrMavuUCe(b'{+\xc67\x0f&'), chr(100) + chr(9444 - 9343) + chr(7929 - 7830) + chr(0b10110 + 0o131) + chr(2821 - 2721) + '\x65')(chr(1826 - 1709) + chr(0b110111 + 0o75) + chr(0b101010 + 0o74) + '\055' + '\x38'), shape=(ix9dZyeAmUxY, OzOEI2Bnergh), init=CIVheOt0RKQX.init.Zero()) ikwgZyutx7QG += [K1Ha0XjJTAE7 + xafqLlk3kkUe(SXOLrMavuUCe(b'{+\xc67\x0f-'), chr(100) + '\145' + '\x63' + chr(111) + chr(0b1100100) + chr(3364 - 3263))('\x75' + '\164' + chr(0b1100110) + chr(0b10001 + 0o34) + chr(56)), K1Ha0XjJTAE7 + xafqLlk3kkUe(SXOLrMavuUCe(b'{+\xc67\x0f&'), chr(100) + chr(1102 - 1001) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + '\070')] j2qG7kU1N6ih = CIVheOt0RKQX.gluon.contrib.rnn.LSTMPCell(OzOEI2Bnergh, OO5ZCPOMlETl, prefix=K1Ha0XjJTAE7) (Dx_DllZ8uCko, jPZpDZH3GdVX) = j2qG7kU1N6ih.unroll(i3PsbB2LjkZm, Dx_DllZ8uCko, begin_state=[noBjVAdiYI98, CDem9Nsq3duk], layout=xafqLlk3kkUe(SXOLrMavuUCe(b'\\\x11\xec'), '\x64' + '\145' + chr(0b10110 + 0o115) + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + chr(45) + '\x38'), merge_outputs=ehT0Px3KOsy9(chr(1711 - 1663) + chr(0b1001010 + 0o45) + '\061', 8)) Dx_DllZ8uCko = QXIpkjdeayVc.Dropout(Dx_DllZ8uCko, p=ag0mwEgWzjYv) jI0E6zso5mLP += [QXIpkjdeayVc.stop_gradient(vGrByMSYMp9h) for vGrByMSYMp9h in jPZpDZH3GdVX] Dx_DllZ8uCko = QXIpkjdeayVc.reshape(Dx_DllZ8uCko, shape=(-ehT0Px3KOsy9('\060' + chr(111) + chr(0b100001 + 0o20), 8), OO5ZCPOMlETl)) t1Fwfk450iIj = [] for LTE9MPUbqSos in xafqLlk3kkUe(Dx_DllZ8uCko, xafqLlk3kkUe(SXOLrMavuUCe(b'~,\xdc7\x0f$N\xa2Qe\x18\x86Ws'), '\x64' + chr(101) + chr(99) + chr(0b1000101 + 0o52) + chr(3812 - 3712) + chr(0b1100101))(chr(10208 - 10091) + chr(11804 - 11688) + chr(0b1011 + 0o133) + chr(0b101101) + '\070'))(): if xafqLlk3kkUe(SXOLrMavuUCe(b'~6\xdb. '), '\x64' + chr(0b10011 + 0o122) + chr(99) + chr(111) + '\x64' + chr(0b1100101))('\x75' + chr(1940 - 1824) + chr(102) + '\x2d' + chr(56)) in LTE9MPUbqSos and xafqLlk3kkUe(SXOLrMavuUCe(b'{+\xc67'), chr(0b100001 + 0o103) + chr(0b110100 + 0o61) + '\143' + '\x6f' + '\x64' + '\145')(chr(11294 - 11177) + chr(0b11100 + 0o130) + '\146' + chr(0b0 + 0o55) + chr(56)) not in LTE9MPUbqSos: xafqLlk3kkUe(t1Fwfk450iIj, xafqLlk3kkUe(SXOLrMavuUCe(b's5\xdf&>!'), chr(0b1100100) + chr(0b111011 + 0o52) + chr(1523 - 1424) + chr(846 - 735) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b11101 + 0o111) + chr(0b101101) + '\070'))(LTE9MPUbqSos) return (Dx_DllZ8uCko, jI0E6zso5mLP, t1Fwfk450iIj, ikwgZyutx7QG)
apache/incubator-mxnet	example/rnn/large_word_lm/model.py	sampled_softmax	def sampled_softmax(num_classes, num_samples, in_dim, inputs, weight, bias, sampled_values, remove_accidental_hits=True): """ Sampled softmax via importance sampling. This under-estimates the full softmax and is only used for training. """ # inputs = (n, in_dim) sample, prob_sample, prob_target = sampled_values # (num_samples, ) sample = S.var('sample', shape=(num_samples,), dtype='float32') # (n, ) label = S.var('label') label = S.reshape(label, shape=(-1,), name="label_reshape") # (num_samples+n, ) sample_label = S.concat(sample, label, dim=0) # lookup weights and biases # (num_samples+n, dim) sample_target_w = S.sparse.Embedding(data=sample_label, weight=weight, input_dim=num_classes, output_dim=in_dim, sparse_grad=True) # (num_samples+n, 1) sample_target_b = S.sparse.Embedding(data=sample_label, weight=bias, input_dim=num_classes, output_dim=1, sparse_grad=True) # (num_samples, dim) sample_w = S.slice(sample_target_w, begin=(0, 0), end=(num_samples, None)) target_w = S.slice(sample_target_w, begin=(num_samples, 0), end=(None, None)) sample_b = S.slice(sample_target_b, begin=(0, 0), end=(num_samples, None)) target_b = S.slice(sample_target_b, begin=(num_samples, 0), end=(None, None)) # target # (n, 1) true_pred = S.sum(target_w * inputs, axis=1, keepdims=True) + target_b # samples # (n, num_samples) sample_b = S.reshape(sample_b, (-1,)) sample_pred = S.FullyConnected(inputs, weight=sample_w, bias=sample_b, num_hidden=num_samples) # remove accidental hits if remove_accidental_hits: label_v = S.reshape(label, (-1, 1)) sample_v = S.reshape(sample, (1, -1)) neg = S.broadcast_equal(label_v, sample_v) * -1e37 sample_pred = sample_pred + neg prob_sample = S.reshape(prob_sample, shape=(1, num_samples)) p_target = true_pred - S.log(prob_target) p_sample = S.broadcast_sub(sample_pred, S.log(prob_sample)) # return logits and new_labels # (n, 1+num_samples) logits = S.concat(p_target, p_sample, dim=1) new_targets = S.zeros_like(label) return logits, new_targets	python	def sampled_softmax(num_classes, num_samples, in_dim, inputs, weight, bias, sampled_values, remove_accidental_hits=True): """ Sampled softmax via importance sampling. This under-estimates the full softmax and is only used for training. """ # inputs = (n, in_dim) sample, prob_sample, prob_target = sampled_values # (num_samples, ) sample = S.var('sample', shape=(num_samples,), dtype='float32') # (n, ) label = S.var('label') label = S.reshape(label, shape=(-1,), name="label_reshape") # (num_samples+n, ) sample_label = S.concat(sample, label, dim=0) # lookup weights and biases # (num_samples+n, dim) sample_target_w = S.sparse.Embedding(data=sample_label, weight=weight, input_dim=num_classes, output_dim=in_dim, sparse_grad=True) # (num_samples+n, 1) sample_target_b = S.sparse.Embedding(data=sample_label, weight=bias, input_dim=num_classes, output_dim=1, sparse_grad=True) # (num_samples, dim) sample_w = S.slice(sample_target_w, begin=(0, 0), end=(num_samples, None)) target_w = S.slice(sample_target_w, begin=(num_samples, 0), end=(None, None)) sample_b = S.slice(sample_target_b, begin=(0, 0), end=(num_samples, None)) target_b = S.slice(sample_target_b, begin=(num_samples, 0), end=(None, None)) # target # (n, 1) true_pred = S.sum(target_w * inputs, axis=1, keepdims=True) + target_b # samples # (n, num_samples) sample_b = S.reshape(sample_b, (-1,)) sample_pred = S.FullyConnected(inputs, weight=sample_w, bias=sample_b, num_hidden=num_samples) # remove accidental hits if remove_accidental_hits: label_v = S.reshape(label, (-1, 1)) sample_v = S.reshape(sample, (1, -1)) neg = S.broadcast_equal(label_v, sample_v) * -1e37 sample_pred = sample_pred + neg prob_sample = S.reshape(prob_sample, shape=(1, num_samples)) p_target = true_pred - S.log(prob_target) p_sample = S.broadcast_sub(sample_pred, S.log(prob_sample)) # return logits and new_labels # (n, 1+num_samples) logits = S.concat(p_target, p_sample, dim=1) new_targets = S.zeros_like(label) return logits, new_targets	[ "def", "sampled_softmax", "(", "num_classes", ",", "num_samples", ",", "in_dim", ",", "inputs", ",", "weight", ",", "bias", ",", "sampled_values", ",", "remove_accidental_hits", "=", "True", ")", ":", "# inputs = (n, in_dim)", "sample", ",", "prob_sample", ",", "prob_target", "=", "sampled_values", "# (num_samples, )", "sample", "=", "S", ".", "var", "(", "'sample'", ",", "shape", "=", "(", "num_samples", ",", ")", ",", "dtype", "=", "'float32'", ")", "# (n, )", "label", "=", "S", ".", "var", "(", "'label'", ")", "label", "=", "S", ".", "reshape", "(", "label", ",", "shape", "=", "(", "-", "1", ",", ")", ",", "name", "=", "\"label_reshape\"", ")", "# (num_samples+n, )", "sample_label", "=", "S", ".", "concat", "(", "sample", ",", "label", ",", "dim", "=", "0", ")", "# lookup weights and biases", "# (num_samples+n, dim)", "sample_target_w", "=", "S", ".", "sparse", ".", "Embedding", "(", "data", "=", "sample_label", ",", "weight", "=", "weight", ",", "input_dim", "=", "num_classes", ",", "output_dim", "=", "in_dim", ",", "sparse_grad", "=", "True", ")", "# (num_samples+n, 1)", "sample_target_b", "=", "S", ".", "sparse", ".", "Embedding", "(", "data", "=", "sample_label", ",", "weight", "=", "bias", ",", "input_dim", "=", "num_classes", ",", "output_dim", "=", "1", ",", "sparse_grad", "=", "True", ")", "# (num_samples, dim)", "sample_w", "=", "S", ".", "slice", "(", "sample_target_w", ",", "begin", "=", "(", "0", ",", "0", ")", ",", "end", "=", "(", "num_samples", ",", "None", ")", ")", "target_w", "=", "S", ".", "slice", "(", "sample_target_w", ",", "begin", "=", "(", "num_samples", ",", "0", ")", ",", "end", "=", "(", "None", ",", "None", ")", ")", "sample_b", "=", "S", ".", "slice", "(", "sample_target_b", ",", "begin", "=", "(", "0", ",", "0", ")", ",", "end", "=", "(", "num_samples", ",", "None", ")", ")", "target_b", "=", "S", ".", "slice", "(", "sample_target_b", ",", "begin", "=", "(", "num_samples", ",", "0", ")", ",", "end", "=", "(", "None", ",", "None", ")", ")", "# target", "# (n, 1)", "true_pred", "=", "S", ".", "sum", "(", "target_w", "", "inputs", ",", "axis", "=", "1", ",", "keepdims", "=", "True", ")", "+", "target_b", "# samples", "# (n, num_samples)", "sample_b", "=", "S", ".", "reshape", "(", "sample_b", ",", "(", "-", "1", ",", ")", ")", "sample_pred", "=", "S", ".", "FullyConnected", "(", "inputs", ",", "weight", "=", "sample_w", ",", "bias", "=", "sample_b", ",", "num_hidden", "=", "num_samples", ")", "# remove accidental hits", "if", "remove_accidental_hits", ":", "label_v", "=", "S", ".", "reshape", "(", "label", ",", "(", "-", "1", ",", "1", ")", ")", "sample_v", "=", "S", ".", "reshape", "(", "sample", ",", "(", "1", ",", "-", "1", ")", ")", "neg", "=", "S", ".", "broadcast_equal", "(", "label_v", ",", "sample_v", ")", "", "-", "1e37", "sample_pred", "=", "sample_pred", "+", "neg", "prob_sample", "=", "S", ".", "reshape", "(", "prob_sample", ",", "shape", "=", "(", "1", ",", "num_samples", ")", ")", "p_target", "=", "true_pred", "-", "S", ".", "log", "(", "prob_target", ")", "p_sample", "=", "S", ".", "broadcast_sub", "(", "sample_pred", ",", "S", ".", "log", "(", "prob_sample", ")", ")", "# return logits and new_labels", "# (n, 1+num_samples)", "logits", "=", "S", ".", "concat", "(", "p_target", ",", "p_sample", ",", "dim", "=", "1", ")", "new_targets", "=", "S", ".", "zeros_like", "(", "label", ")", "return", "logits", ",", "new_targets" ]	Sampled softmax via importance sampling. This under-estimates the full softmax and is only used for training.	[ "Sampled", "softmax", "via", "importance", "sampling", ".", "This", "under", "-", "estimates", "the", "full", "softmax", "and", "is", "only", "used", "for", "training", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rnn/large_word_lm/model.py#L74-L128	train	Sampled softmax via importance sampling.	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(0b110101 + 0o72) + '\x31' + '\067' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(1610 - 1499) + '\062' + '\x30' + chr(0b0 + 0o66), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1890 - 1841) + chr(2237 - 2184) + chr(2252 - 2201), 0o10), ehT0Px3KOsy9('\060' + chr(3537 - 3426) + chr(0b100101 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x32' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(48) + chr(2163 - 2109), 8), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + '\063' + '\064' + chr(1294 - 1241), 0o10), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\x33' + chr(0b1000 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(49) + '\x36' + chr(466 - 413), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\062', 20561 - 20553), ehT0Px3KOsy9(chr(237 - 189) + chr(2557 - 2446) + '\x32' + chr(94 - 43) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1120 - 1069) + chr(52), 0o10), ehT0Px3KOsy9(chr(1765 - 1717) + '\x6f' + chr(876 - 825) + chr(50) + chr(1775 - 1720), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(0b101101 + 0o4) + '\062' + chr(0b100000 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10051 - 9940) + '\x32', 29152 - 29144), ehT0Px3KOsy9('\x30' + chr(4639 - 4528) + '\x31' + '\066' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110100) + chr(664 - 613), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(843 - 791) + chr(0b11100 + 0o27), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b1 + 0o60) + chr(49) + chr(0b1111 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110001) + chr(0b100100 + 0o23) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2179 - 2130) + chr(2660 - 2608) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(1296 - 1246) + chr(0b101010 + 0o13) + '\067', 21513 - 21505), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1735 - 1684) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(49) + chr(0b10001 + 0o43) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\062' + '\062' + chr(0b110101), 4520 - 4512), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2330 - 2279) + chr(0b110100 + 0o2) + chr(0b1110 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(50) + '\x31' + chr(51), 12920 - 12912), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(51) + chr(0b110101) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110100) + chr(0b1101 + 0o45), 0o10), ehT0Px3KOsy9(chr(48) + chr(8556 - 8445) + chr(0b111 + 0o54) + '\063' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(619 - 571) + chr(0b1101111) + '\062' + '\062' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8104 - 7993) + chr(0b110011) + chr(53) + '\066', 15353 - 15345), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + '\x32' + chr(0b110010 + 0o4) + chr(0b1101 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(1546 - 1498) + chr(0b111110 + 0o61) + '\061' + chr(53), 12490 - 12482), ehT0Px3KOsy9('\060' + chr(7767 - 7656) + '\063' + chr(0b110111) + chr(669 - 615), 8174 - 8166), ehT0Px3KOsy9(chr(48) + chr(5264 - 5153) + chr(0b110011) + '\x31' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(0b110010) + '\061' + chr(0b110100 + 0o0), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110100) + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + '\065' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'W'), chr(3850 - 3750) + chr(147 - 46) + chr(99) + '\157' + '\x64' + chr(101))(chr(9636 - 9519) + chr(116) + chr(9895 - 9793) + chr(45) + chr(2873 - 2817)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def c6D1MH7YK7Fk(i6loyAgxUM2t, Wuetkhsbidt0, Nn8AAiiVwU2r, vXoupepMtCXU, C0mVSPj6WjvB, IKTrMTySqz10, VM2NlecZ_lIE, lJleh7Klu59l=ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b1010 + 0o47), 0o10)): (aBu4gMMQp6Jg, EnALAE_sU7eg, RiphF5DSoMKV) = VM2NlecZ_lIE aBu4gMMQp6Jg = QXIpkjdeayVc.l38lb8xQZNsE(xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xe7\x06tMq'), '\x64' + chr(6020 - 5919) + chr(0b1100011) + '\157' + chr(588 - 488) + chr(0b100110 + 0o77))('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)), shape=(Wuetkhsbidt0,), dtype=xafqLlk3kkUe(SXOLrMavuUCe(b"\x1f\xea\x04eU'\xb4"), '\144' + chr(6699 - 6598) + chr(0b100010 + 0o101) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(2501 - 2384) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070')) TRUOLFLuD08x = QXIpkjdeayVc.l38lb8xQZNsE(xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xe7\taM'), chr(0b1100100) + chr(101) + chr(580 - 481) + '\x6f' + '\x64' + chr(0b1011010 + 0o13))(chr(0b111011 + 0o72) + chr(6758 - 6642) + chr(0b1000010 + 0o44) + chr(0b101101) + chr(0b101001 + 0o17))) TRUOLFLuD08x = QXIpkjdeayVc.reshape(TRUOLFLuD08x, shape=(-ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(49), 8),), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xe7\taMK\xf4\x80i\x1ds\xefy'), chr(0b1100100) + chr(101) + chr(1512 - 1413) + '\157' + chr(1075 - 975) + chr(3758 - 3657))(chr(117) + chr(0b1110100) + chr(0b1010010 + 0o24) + chr(209 - 164) + chr(1365 - 1309))) RSoQ2LMWkKKM = QXIpkjdeayVc.concat(aBu4gMMQp6Jg, TRUOLFLuD08x, dim=ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + chr(48), 8)) Kf8BeFIcDvSp = QXIpkjdeayVc.sparse.Embedding(data=RSoQ2LMWkKKM, weight=C0mVSPj6WjvB, input_dim=i6loyAgxUM2t, output_dim=Nn8AAiiVwU2r, sparse_grad=ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8)) gDpNtlj1lY_D = QXIpkjdeayVc.sparse.Embedding(data=RSoQ2LMWkKKM, weight=IKTrMTySqz10, input_dim=i6loyAgxUM2t, output_dim=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 8), sparse_grad=ehT0Px3KOsy9(chr(0b110000) + chr(6419 - 6308) + chr(49), 8)) sqDgpEhcDuKx = QXIpkjdeayVc.slice(Kf8BeFIcDvSp, begin=(ehT0Px3KOsy9(chr(48) + '\157' + chr(331 - 283), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 8)), end=(Wuetkhsbidt0, None)) AY6lb_jw3wfv = QXIpkjdeayVc.slice(Kf8BeFIcDvSp, begin=(Wuetkhsbidt0, ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\x30', 8)), end=(None, None)) oMvvFgSpT9oa = QXIpkjdeayVc.slice(gDpNtlj1lY_D, begin=(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2134 - 2086), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11101 + 0o23), 8)), end=(Wuetkhsbidt0, None)) XCil6dlCQ79W = QXIpkjdeayVc.slice(gDpNtlj1lY_D, begin=(Wuetkhsbidt0, ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(0b110000), 8)), end=(None, None)) w32bQcRTEPy3 = QXIpkjdeayVc.xkxBmo49x2An(AY6lb_jw3wfv * vXoupepMtCXU, axis=ehT0Px3KOsy9(chr(1907 - 1859) + '\157' + chr(0b110001), 8), keepdims=ehT0Px3KOsy9(chr(48) + chr(111) + chr(2301 - 2252), 8)) + XCil6dlCQ79W oMvvFgSpT9oa = QXIpkjdeayVc.reshape(oMvvFgSpT9oa, (-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o47), 8),)) zqAoKv4wlnu1 = QXIpkjdeayVc.FullyConnected(vXoupepMtCXU, weight=sqDgpEhcDuKx, bias=oMvvFgSpT9oa, num_hidden=Wuetkhsbidt0) if lJleh7Klu59l: deFtpD95xASW = QXIpkjdeayVc.reshape(TRUOLFLuD08x, (-ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b111000 + 0o67) + chr(49), 8), ehT0Px3KOsy9('\060' + '\157' + chr(49), 8))) jMwPvT4_9cYo = QXIpkjdeayVc.reshape(aBu4gMMQp6Jg, (ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(2612 - 2501) + '\061', 8), -ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8))) F2NqWsAes3EH = QXIpkjdeayVc.broadcast_equal(deFtpD95xASW, jMwPvT4_9cYo) * -1e+37 zqAoKv4wlnu1 = zqAoKv4wlnu1 + F2NqWsAes3EH EnALAE_sU7eg = QXIpkjdeayVc.reshape(EnALAE_sU7eg, shape=(ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\061', 8), Wuetkhsbidt0)) JomoFYCQdR8W = w32bQcRTEPy3 - QXIpkjdeayVc.log(RiphF5DSoMKV) rOJtHaLWOYnL = QXIpkjdeayVc.broadcast_sub(zqAoKv4wlnu1, QXIpkjdeayVc.log(EnALAE_sU7eg)) wF9nmvjsKjYM = QXIpkjdeayVc.concat(JomoFYCQdR8W, rOJtHaLWOYnL, dim=ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(1683 - 1634), 8)) EsPsBO7RYJsx = QXIpkjdeayVc.zeros_like(TRUOLFLuD08x) return (wF9nmvjsKjYM, EsPsBO7RYJsx)
apache/incubator-mxnet	example/rnn/large_word_lm/model.py	generate_samples	def generate_samples(label, num_splits, sampler): """ Split labels into `num_splits` and generate candidates based on log-uniform distribution. """ def listify(x): return x if isinstance(x, list) else [x] label_splits = listify(label.split(num_splits, axis=0)) prob_samples = [] prob_targets = [] samples = [] for label_split in label_splits: label_split_2d = label_split.reshape((-1,1)) sampled_value = sampler.draw(label_split_2d) sampled_classes, exp_cnt_true, exp_cnt_sampled = sampled_value samples.append(sampled_classes.astype(np.float32)) prob_targets.append(exp_cnt_true.astype(np.float32).reshape((-1,1))) prob_samples.append(exp_cnt_sampled.astype(np.float32)) return samples, prob_samples, prob_targets	python	def generate_samples(label, num_splits, sampler): """ Split labels into `num_splits` and generate candidates based on log-uniform distribution. """ def listify(x): return x if isinstance(x, list) else [x] label_splits = listify(label.split(num_splits, axis=0)) prob_samples = [] prob_targets = [] samples = [] for label_split in label_splits: label_split_2d = label_split.reshape((-1,1)) sampled_value = sampler.draw(label_split_2d) sampled_classes, exp_cnt_true, exp_cnt_sampled = sampled_value samples.append(sampled_classes.astype(np.float32)) prob_targets.append(exp_cnt_true.astype(np.float32).reshape((-1,1))) prob_samples.append(exp_cnt_sampled.astype(np.float32)) return samples, prob_samples, prob_targets	[ "def", "generate_samples", "(", "label", ",", "num_splits", ",", "sampler", ")", ":", "def", "listify", "(", "x", ")", ":", "return", "x", "if", "isinstance", "(", "x", ",", "list", ")", "else", "[", "x", "]", "label_splits", "=", "listify", "(", "label", ".", "split", "(", "num_splits", ",", "axis", "=", "0", ")", ")", "prob_samples", "=", "[", "]", "prob_targets", "=", "[", "]", "samples", "=", "[", "]", "for", "label_split", "in", "label_splits", ":", "label_split_2d", "=", "label_split", ".", "reshape", "(", "(", "-", "1", ",", "1", ")", ")", "sampled_value", "=", "sampler", ".", "draw", "(", "label_split_2d", ")", "sampled_classes", ",", "exp_cnt_true", ",", "exp_cnt_sampled", "=", "sampled_value", "samples", ".", "append", "(", "sampled_classes", ".", "astype", "(", "np", ".", "float32", ")", ")", "prob_targets", ".", "append", "(", "exp_cnt_true", ".", "astype", "(", "np", ".", "float32", ")", ".", "reshape", "(", "(", "-", "1", ",", "1", ")", ")", ")", "prob_samples", ".", "append", "(", "exp_cnt_sampled", ".", "astype", "(", "np", ".", "float32", ")", ")", "return", "samples", ",", "prob_samples", ",", "prob_targets" ]	Split labels into `num_splits` and generate candidates based on log-uniform distribution.	[ "Split", "labels", "into", "num_splits", "and", "generate", "candidates", "based", "on", "log", "-", "uniform", "distribution", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rnn/large_word_lm/model.py#L130-L147	train	Split labels into num_splits and generate candidates based on log - uniform distribution.	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) + '\063' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(97 - 49) + '\x6f' + chr(0b110111) + chr(49), 12257 - 12249), ehT0Px3KOsy9(chr(491 - 443) + chr(111) + chr(0b110011) + '\x36' + chr(1736 - 1688), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11110 + 0o26) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + '\062' + chr(0b110101) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b0 + 0o64) + chr(0b0 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b110001) + '\066' + chr(0b10110 + 0o41), 34284 - 34276), ehT0Px3KOsy9(chr(48) + chr(4540 - 4429) + '\x31' + '\066' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1463 - 1415) + '\x6f' + '\062' + chr(49) + chr(1465 - 1411), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(55) + chr(55), 0o10), ehT0Px3KOsy9(chr(1614 - 1566) + '\x6f' + '\x32' + chr(1910 - 1856) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + '\x32' + '\061' + chr(0b1001 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\067' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + '\x31' + '\066' + '\x31', 53368 - 53360), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2308 - 2259) + chr(55 - 3) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(55) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(50) + '\066' + chr(0b110111), 4140 - 4132), ehT0Px3KOsy9(chr(0b110000) + chr(4417 - 4306) + chr(0b110010) + chr(0b110001) + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(5120 - 5009) + chr(50) + chr(0b110000 + 0o5) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(49) + '\x31' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(50) + chr(48) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110000) + chr(506 - 456), 0b1000), ehT0Px3KOsy9('\x30' + chr(11827 - 11716) + chr(0b110100) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5470 - 5359) + chr(0b110001) + chr(54) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1878 - 1827) + chr(0b110110) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(0b11 + 0o57) + chr(0b1101 + 0o45) + '\063', 33983 - 33975), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b11101 + 0o23) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1983 - 1935) + '\x6f' + chr(54) + '\x30', 0o10), ehT0Px3KOsy9(chr(339 - 291) + '\x6f' + chr(0b11010 + 0o30) + chr(2501 - 2450) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b10010 + 0o37) + chr(728 - 678), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110100) + chr(0b101111 + 0o10), 46380 - 46372), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\064' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x35' + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(195 - 147) + chr(111) + chr(49) + '\066' + chr(1286 - 1232), 0o10), ehT0Px3KOsy9(chr(1021 - 973) + chr(0b1101111) + chr(0b110011) + chr(2365 - 2315) + '\061', 0o10), ehT0Px3KOsy9(chr(1263 - 1215) + '\x6f' + '\061' + '\066' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(4155 - 4044) + chr(0b11000 + 0o32) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(54), 0b1000), ehT0Px3KOsy9(chr(2294 - 2246) + chr(0b1101111) + chr(0b110001 + 0o2) + '\064', 15893 - 15885), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b111 + 0o52) + chr(1988 - 1938), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'5'), '\x64' + chr(6898 - 6797) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b101 + 0o140))(chr(117) + chr(2704 - 2588) + chr(3838 - 3736) + chr(0b101101) + chr(983 - 927)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def EMc7ZxwiESUi(TRUOLFLuD08x, NbAbkov2L4m5, FhX1mYZXXcHE): def XFSR0qhtb0bq(OeWW0F1dBPRQ): return OeWW0F1dBPRQ if PlSM16l2KDPD(OeWW0F1dBPRQ, YyaZ4tpXu4lf) else [OeWW0F1dBPRQ] eYdVk0BczeKS = XFSR0qhtb0bq(TRUOLFLuD08x.split(NbAbkov2L4m5, axis=ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + chr(987 - 939), 5276 - 5268))) POi0PiFuwA9r = [] MlBvdtwAoc30 = [] db1_IZvznkcy = [] for GqUY8HFkLURJ in eYdVk0BczeKS: G9tz6AbNsKR3 = GqUY8HFkLURJ.reshape((-ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b11111 + 0o22), 21166 - 21158), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8))) Wii2QEUWPeZL = FhX1mYZXXcHE.draw(G9tz6AbNsKR3) (MkA2orDVY3Yy, QUCFu7YZ2GNj, DmNnfH14tatQ) = Wii2QEUWPeZL xafqLlk3kkUe(db1_IZvznkcy, xafqLlk3kkUe(SXOLrMavuUCe(b'zI\x80E\xc4\x05'), chr(0b1001110 + 0o26) + chr(4781 - 4680) + chr(0b111 + 0o134) + chr(0b100010 + 0o115) + chr(100) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(268 - 223) + chr(56)))(xafqLlk3kkUe(MkA2orDVY3Yy, xafqLlk3kkUe(SXOLrMavuUCe(b'zJ\x84Y\xda\x04'), '\x64' + chr(0b1001110 + 0o27) + chr(6544 - 6445) + chr(0b1101111) + chr(100) + chr(4867 - 4766))('\165' + '\x74' + '\146' + '\x2d' + chr(368 - 312)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'}U\x9fA\xdeRE'), '\144' + chr(0b1011011 + 0o12) + chr(3509 - 3410) + chr(0b1101111) + chr(0b1100100) + chr(1042 - 941))('\x75' + chr(0b1001101 + 0o47) + chr(0b1100110) + chr(1557 - 1512) + chr(2101 - 2045))))) xafqLlk3kkUe(MlBvdtwAoc30, xafqLlk3kkUe(SXOLrMavuUCe(b'zI\x80E\xc4\x05'), chr(1788 - 1688) + '\145' + chr(0b1000101 + 0o36) + '\x6f' + '\x64' + '\x65')(chr(117) + chr(0b1101 + 0o147) + chr(0b1100110) + chr(1689 - 1644) + chr(0b111000)))(xafqLlk3kkUe(QUCFu7YZ2GNj.astype(WqUC3KWvYVup.float32), xafqLlk3kkUe(SXOLrMavuUCe(b'i\\\x83H\xcb\x11\x12'), '\144' + '\145' + chr(1666 - 1567) + chr(0b1100111 + 0o10) + '\x64' + chr(0b1100101))(chr(6523 - 6406) + '\x74' + chr(102) + chr(0b101000 + 0o5) + chr(0b111000)))((-ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8), ehT0Px3KOsy9('\060' + chr(1813 - 1702) + chr(49), 8)))) xafqLlk3kkUe(POi0PiFuwA9r, xafqLlk3kkUe(SXOLrMavuUCe(b'zI\x80E\xc4\x05'), chr(100) + '\145' + chr(99) + '\157' + chr(100) + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(DmNnfH14tatQ, xafqLlk3kkUe(SXOLrMavuUCe(b'zJ\x84Y\xda\x04'), chr(0b10110 + 0o116) + chr(101) + chr(0b1100011) + chr(0b10000 + 0o137) + chr(0b1000001 + 0o43) + chr(0b1100101 + 0o0))(chr(0b1010010 + 0o43) + chr(0b1000001 + 0o63) + chr(0b1100 + 0o132) + '\055' + chr(0b111000)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'}U\x9fA\xdeRE'), chr(6416 - 6316) + chr(101) + chr(8493 - 8394) + chr(0b1101111) + '\144' + '\145')('\x75' + chr(0b1110100) + '\146' + chr(45) + chr(0b10010 + 0o46))))) return (db1_IZvznkcy, POi0PiFuwA9r, MlBvdtwAoc30)
apache/incubator-mxnet	python/mxnet/gluon/model_zoo/vision/__init__.py	get_model	def get_model(name, kwargs): """Returns a pre-defined model by name Parameters ---------- name : str Name of the model. pretrained : bool Whether to load the pretrained weights for model. classes : int Number of classes for the output layer. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default '$MXNET_HOME/models' Location for keeping the model parameters. Returns ------- HybridBlock The model. """ models = {'resnet18_v1': resnet18_v1, 'resnet34_v1': resnet34_v1, 'resnet50_v1': resnet50_v1, 'resnet101_v1': resnet101_v1, 'resnet152_v1': resnet152_v1, 'resnet18_v2': resnet18_v2, 'resnet34_v2': resnet34_v2, 'resnet50_v2': resnet50_v2, 'resnet101_v2': resnet101_v2, 'resnet152_v2': resnet152_v2, 'vgg11': vgg11, 'vgg13': vgg13, 'vgg16': vgg16, 'vgg19': vgg19, 'vgg11_bn': vgg11_bn, 'vgg13_bn': vgg13_bn, 'vgg16_bn': vgg16_bn, 'vgg19_bn': vgg19_bn, 'alexnet': alexnet, 'densenet121': densenet121, 'densenet161': densenet161, 'densenet169': densenet169, 'densenet201': densenet201, 'squeezenet1.0': squeezenet1_0, 'squeezenet1.1': squeezenet1_1, 'inceptionv3': inception_v3, 'mobilenet1.0': mobilenet1_0, 'mobilenet0.75': mobilenet0_75, 'mobilenet0.5': mobilenet0_5, 'mobilenet0.25': mobilenet0_25, 'mobilenetv2_1.0': mobilenet_v2_1_0, 'mobilenetv2_0.75': mobilenet_v2_0_75, 'mobilenetv2_0.5': mobilenet_v2_0_5, 'mobilenetv2_0.25': mobilenet_v2_0_25 } name = name.lower() if name not in models: raise ValueError( 'Model %s is not supported. Available options are\n\t%s' % ( name, '\n\t'.join(sorted(models.keys())))) return models[name](kwargs)	python	def get_model(name, kwargs): """Returns a pre-defined model by name Parameters ---------- name : str Name of the model. pretrained : bool Whether to load the pretrained weights for model. classes : int Number of classes for the output layer. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default '$MXNET_HOME/models' Location for keeping the model parameters. Returns ------- HybridBlock The model. """ models = {'resnet18_v1': resnet18_v1, 'resnet34_v1': resnet34_v1, 'resnet50_v1': resnet50_v1, 'resnet101_v1': resnet101_v1, 'resnet152_v1': resnet152_v1, 'resnet18_v2': resnet18_v2, 'resnet34_v2': resnet34_v2, 'resnet50_v2': resnet50_v2, 'resnet101_v2': resnet101_v2, 'resnet152_v2': resnet152_v2, 'vgg11': vgg11, 'vgg13': vgg13, 'vgg16': vgg16, 'vgg19': vgg19, 'vgg11_bn': vgg11_bn, 'vgg13_bn': vgg13_bn, 'vgg16_bn': vgg16_bn, 'vgg19_bn': vgg19_bn, 'alexnet': alexnet, 'densenet121': densenet121, 'densenet161': densenet161, 'densenet169': densenet169, 'densenet201': densenet201, 'squeezenet1.0': squeezenet1_0, 'squeezenet1.1': squeezenet1_1, 'inceptionv3': inception_v3, 'mobilenet1.0': mobilenet1_0, 'mobilenet0.75': mobilenet0_75, 'mobilenet0.5': mobilenet0_5, 'mobilenet0.25': mobilenet0_25, 'mobilenetv2_1.0': mobilenet_v2_1_0, 'mobilenetv2_0.75': mobilenet_v2_0_75, 'mobilenetv2_0.5': mobilenet_v2_0_5, 'mobilenetv2_0.25': mobilenet_v2_0_25 } name = name.lower() if name not in models: raise ValueError( 'Model %s is not supported. Available options are\n\t%s' % ( name, '\n\t'.join(sorted(models.keys())))) return models[name](kwargs)	[ "def", "get_model", "(", "name", ",", "", "", "kwargs", ")", ":", "models", "=", "{", "'resnet18_v1'", ":", "resnet18_v1", ",", "'resnet34_v1'", ":", "resnet34_v1", ",", "'resnet50_v1'", ":", "resnet50_v1", ",", "'resnet101_v1'", ":", "resnet101_v1", ",", "'resnet152_v1'", ":", "resnet152_v1", ",", "'resnet18_v2'", ":", "resnet18_v2", ",", "'resnet34_v2'", ":", "resnet34_v2", ",", "'resnet50_v2'", ":", "resnet50_v2", ",", "'resnet101_v2'", ":", "resnet101_v2", ",", "'resnet152_v2'", ":", "resnet152_v2", ",", "'vgg11'", ":", "vgg11", ",", "'vgg13'", ":", "vgg13", ",", "'vgg16'", ":", "vgg16", ",", "'vgg19'", ":", "vgg19", ",", "'vgg11_bn'", ":", "vgg11_bn", ",", "'vgg13_bn'", ":", "vgg13_bn", ",", "'vgg16_bn'", ":", "vgg16_bn", ",", "'vgg19_bn'", ":", "vgg19_bn", ",", "'alexnet'", ":", "alexnet", ",", "'densenet121'", ":", "densenet121", ",", "'densenet161'", ":", "densenet161", ",", "'densenet169'", ":", "densenet169", ",", "'densenet201'", ":", "densenet201", ",", "'squeezenet1.0'", ":", "squeezenet1_0", ",", "'squeezenet1.1'", ":", "squeezenet1_1", ",", "'inceptionv3'", ":", "inception_v3", ",", "'mobilenet1.0'", ":", "mobilenet1_0", ",", "'mobilenet0.75'", ":", "mobilenet0_75", ",", "'mobilenet0.5'", ":", "mobilenet0_5", ",", "'mobilenet0.25'", ":", "mobilenet0_25", ",", "'mobilenetv2_1.0'", ":", "mobilenet_v2_1_0", ",", "'mobilenetv2_0.75'", ":", "mobilenet_v2_0_75", ",", "'mobilenetv2_0.5'", ":", "mobilenet_v2_0_5", ",", "'mobilenetv2_0.25'", ":", "mobilenet_v2_0_25", "}", "name", "=", "name", ".", "lower", "(", ")", "if", "name", "not", "in", "models", ":", "raise", "ValueError", "(", "'Model %s is not supported. Available options are\\n\\t%s'", "%", "(", "name", ",", "'\\n\\t'", ".", "join", "(", "sorted", "(", "models", ".", "keys", "(", ")", ")", ")", ")", ")", "return", "models", "[", "name", "]", "(", "", "", "kwargs", ")" ]	Returns a pre-defined model by name Parameters ---------- name : str Name of the model. pretrained : bool Whether to load the pretrained weights for model. classes : int Number of classes for the output layer. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default '$MXNET_HOME/models' Location for keeping the model parameters. Returns ------- HybridBlock The model.	[ "Returns", "a", "pre", "-", "defined", "model", "by", "name" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/model_zoo/vision/__init__.py#L91-L152	train	Returns a pre - defined model by 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(2282 - 2234) + chr(0b1101111) + chr(1897 - 1847) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(51) + chr(0b110001) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(183 - 133) + chr(508 - 457) + chr(0b110111), 41216 - 41208), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(52) + chr(966 - 915), 0b1000), ehT0Px3KOsy9(chr(2272 - 2224) + chr(111) + chr(51) + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1776 - 1726), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(51) + '\x32', 27863 - 27855), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(211 - 163) + chr(111) + chr(51) + chr(52) + '\x34', 25674 - 25666), ehT0Px3KOsy9(chr(2046 - 1998) + '\157' + chr(2511 - 2460) + chr(2178 - 2129) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\065' + chr(1765 - 1716), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b100111 + 0o14) + '\x36' + '\066', 24808 - 24800), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010 + 0o0) + '\060' + chr(0b110001), 110 - 102), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(0b110010) + chr(0b101010 + 0o14) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b101000 + 0o14) + '\064', 55020 - 55012), ehT0Px3KOsy9('\060' + chr(1082 - 971) + chr(2221 - 2171) + '\066' + chr(0b110000), 29488 - 29480), ehT0Px3KOsy9('\x30' + chr(11918 - 11807) + '\x33' + '\x36' + chr(458 - 410), ord("\x08")), ehT0Px3KOsy9(chr(428 - 380) + chr(111) + chr(0b110001 + 0o5) + chr(0b11100 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(49) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(51) + chr(0b10011 + 0o40) + chr(0b10011 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(1915 - 1864) + chr(320 - 267), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\063' + chr(0b100000 + 0o21), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10536 - 10425) + chr(0b11001 + 0o31) + chr(0b101010 + 0o12) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(1047 - 997), 8), ehT0Px3KOsy9(chr(1435 - 1387) + chr(0b11101 + 0o122) + '\061' + '\x35' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(405 - 353) + '\x34', 0o10), ehT0Px3KOsy9(chr(2263 - 2215) + chr(0b10101 + 0o132) + chr(0b11111 + 0o24) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(3519 - 3408) + chr(1155 - 1105) + chr(237 - 186) + '\x35', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\065' + chr(1263 - 1208), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2453 - 2403) + chr(0b110011) + chr(77 - 28), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(51) + chr(51) + chr(667 - 618), 9790 - 9782), ehT0Px3KOsy9(chr(1961 - 1913) + chr(111) + chr(1673 - 1618) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(403 - 351) + chr(0b100101 + 0o21), 0o10), ehT0Px3KOsy9(chr(48) + chr(10407 - 10296) + '\061' + chr(457 - 403) + '\x35', 65450 - 65442), ehT0Px3KOsy9(chr(370 - 322) + chr(6199 - 6088) + chr(51) + chr(53) + chr(1395 - 1345), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x36' + chr(0b110010), 60625 - 60617), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b11100 + 0o25) + chr(525 - 475), 47771 - 47763), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1947 - 1897) + chr(51), 0b1000), ehT0Px3KOsy9(chr(903 - 855) + '\157' + chr(0b110001) + chr(0b110100) + chr(1651 - 1599), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + chr(0b110001) + '\x36' + '\x31', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\065' + '\060', 8334 - 8326)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'<'), chr(969 - 869) + chr(7972 - 7871) + chr(0b1100011) + chr(3371 - 3260) + chr(100) + '\x65')(chr(0b10110 + 0o137) + '\164' + '\x66' + '\055' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def NBxO0PPLq2w9(AIvJRzLdDfgF, M8EIoTs2GJXE): wmo1XKbHVO0m = {xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v+\x0b\xbb\xba\x18'), '\144' + '\145' + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1000101 + 0o41) + chr(45) + '\x38'): ivhYolO4uix2, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v)\x07\xbb\xba\x18'), chr(0b1000 + 0o134) + chr(101) + chr(0b111101 + 0o46) + '\157' + '\x64' + chr(101))(chr(6530 - 6413) + chr(1628 - 1512) + chr(0b1100110) + chr(0b101101) + chr(0b110001 + 0o7)): BrEdfkH7CqH8, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v/\x03\xbb\xba\x18'), chr(0b1100100) + chr(0b1100101) + chr(5583 - 5484) + chr(5172 - 5061) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(314 - 198) + '\146' + chr(0b101101) + chr(0b111000)): V4MoNTwFe62V, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v+\x03\xd5\x93_\xc7'), chr(0b1100 + 0o130) + chr(101) + chr(0b1000011 + 0o40) + chr(0b1010100 + 0o33) + chr(5509 - 5409) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100011 + 0o3) + '\055' + chr(1294 - 1238)): FbPZR5FIBRkx, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v+\x06\xd6\x93_\xc7'), '\x64' + chr(829 - 728) + chr(99) + '\157' + chr(6474 - 6374) + chr(0b1011101 + 0o10))('\x75' + '\164' + chr(0b1100110) + chr(0b100000 + 0o15) + chr(56)): JqMSwtKNqOyH, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v+\x0b\xbb\xba\x1b'), chr(100) + chr(0b1001101 + 0o30) + chr(2163 - 2064) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(4182 - 4065) + chr(116) + chr(3804 - 3702) + '\055' + '\x38'): qdGrihV9JRxD, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v)\x07\xbb\xba\x1b'), '\144' + chr(101) + '\x63' + chr(0b1101111) + '\144' + chr(0b111 + 0o136))(chr(0b1110101) + '\x74' + '\146' + chr(0b100010 + 0o13) + '\070'): Tjt9wVEWEyL8, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v/\x03\xbb\xba\x1b'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(0b1000110 + 0o36) + chr(0b110010 + 0o63))(chr(6137 - 6020) + chr(7642 - 7526) + chr(102) + '\x2d' + '\x38'): Avxg3zbfl7xv, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v+\x03\xd5\x93_\xc4'), chr(0b1100100) + chr(101) + chr(1103 - 1004) + chr(0b1101111) + '\144' + chr(9783 - 9682))('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000)): OUMyhHZzCQlC, xafqLlk3kkUe(SXOLrMavuUCe(b'`\xa9\xec\xcd\x92v+\x06\xd6\x93_\xc4'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(6038 - 5937))(chr(0b1101110 + 0o7) + chr(116) + chr(0b1100110) + chr(0b1 + 0o54) + chr(56)): ynLAcusBvKMZ, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xab\xf8\x92\xc6'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b101011 + 0o71) + '\145')(chr(0b1001111 + 0o46) + chr(116) + chr(102) + chr(0b101101) + chr(56)): SkRbk7cVuT5G, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xab\xf8\x92\xc4'), chr(0b1010111 + 0o15) + chr(0b10 + 0o143) + '\143' + chr(111) + chr(0b1 + 0o143) + chr(0b1100101))('\x75' + '\164' + chr(102) + '\055' + '\070'): v2a29zsMOMXW, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xab\xf8\x92\xc1'), chr(100) + chr(101) + chr(99) + '\157' + '\x64' + chr(1864 - 1763))(chr(12504 - 12387) + '\x74' + chr(0b1110 + 0o130) + chr(0b101101) + chr(56)): BOPDl4Lwhyqm, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xab\xf8\x92\xce'), chr(0b1100100) + '\145' + chr(99) + chr(9572 - 9461) + chr(0b1100100) + chr(101))(chr(0b10111 + 0o136) + '\164' + chr(102) + chr(360 - 315) + chr(0b111000 + 0o0)): KQOoN_4Mvy2i, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xab\xf8\x92\xc6]x]'), chr(0b1100100) + '\x65' + '\x63' + chr(982 - 871) + '\x64' + chr(101))(chr(0b1110101) + '\x74' + chr(102) + '\055' + chr(0b111000)): rMPEqvK69rdd, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xab\xf8\x92\xc4]x]'), chr(1958 - 1858) + chr(0b1000100 + 0o41) + chr(99) + chr(2407 - 2296) + '\x64' + '\145')('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(544 - 488)): n1eOe4naXF5F, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xab\xf8\x92\xc1]x]'), chr(9519 - 9419) + chr(0b1100101) + '\143' + chr(6834 - 6723) + '\144' + chr(101))(chr(117) + chr(5977 - 5861) + chr(3163 - 3061) + chr(0b101101) + chr(56)): PvTFQRcltWWS, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xab\xf8\x92\xce]x]'), '\x64' + chr(9745 - 9644) + chr(99) + '\157' + chr(100) + '\x65')(chr(0b110100 + 0o101) + '\164' + chr(102) + chr(941 - 896) + chr(0b111000)): RGhtCidpsSRg, xafqLlk3kkUe(SXOLrMavuUCe(b's\xa0\xfa\xdb\x99gn'), chr(100) + chr(0b11001 + 0o114) + chr(917 - 818) + '\157' + '\144' + chr(101))(chr(0b100000 + 0o125) + '\164' + '\146' + chr(0b100100 + 0o11) + '\x38'): sf_Lk1n87BY_, xafqLlk3kkUe(SXOLrMavuUCe(b'v\xa9\xf1\xd0\x92l\x7fG\xd5\xfe\x18'), chr(7430 - 7330) + chr(0b111010 + 0o53) + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(0b1100101 + 0o20) + '\x74' + chr(0b1000001 + 0o45) + chr(45) + '\x38'): FwsXhzDgPNRu, xafqLlk3kkUe(SXOLrMavuUCe(b'v\xa9\xf1\xd0\x92l\x7fG\xd5\xfa\x18'), chr(100) + chr(0b0 + 0o145) + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(6916 - 6799) + chr(0b1100011 + 0o21) + '\146' + chr(0b101101) + chr(0b111000)): pqQhkmtDm4kp, xafqLlk3kkUe(SXOLrMavuUCe(b'v\xa9\xf1\xd0\x92l\x7fG\xd5\xfa\x10'), chr(100) + chr(101) + '\x63' + '\x6f' + '\x64' + chr(7432 - 7331))('\x75' + '\x74' + chr(102) + chr(45) + '\070'): GWE_f63gSM67, xafqLlk3kkUe(SXOLrMavuUCe(b'v\xa9\xf1\xd0\x92l\x7fG\xd6\xfc\x18'), chr(334 - 234) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + '\x65')(chr(7409 - 7292) + '\x74' + chr(102) + chr(1428 - 1383) + chr(0b111000)): lnXFNz1yL0Qy, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xbd\xea\xc6\x92x\x7f]\x81\xb8\x18\xd8\xb1'), chr(0b1011111 + 0o5) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(7170 - 7053) + chr(7745 - 7629) + chr(0b1100101 + 0o1) + '\055' + chr(0b110 + 0o62)): HFvNOXcIOtlb, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xbd\xea\xc6\x92x\x7f]\x81\xb8\x18\xd8\xb0'), chr(0b1011001 + 0o13) + chr(101) + chr(0b11000 + 0o113) + chr(10254 - 10143) + chr(100) + chr(8605 - 8504))(chr(0b1110101) + chr(0b10011 + 0o141) + '\146' + '\055' + chr(0b111000)): o_ODEmtU7Ca1, xafqLlk3kkUe(SXOLrMavuUCe(b'{\xa2\xfc\xc6\x87vs\\\x8a\xba\x1a'), '\144' + chr(8370 - 8269) + chr(99) + '\157' + chr(944 - 844) + chr(101))('\x75' + '\164' + chr(0b101011 + 0o73) + '\055' + '\x38'): VrgX8I7_Rgcu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa3\xfd\xca\x9bgtV\x90\xfd\x07\xc6'), chr(0b1100100) + chr(1070 - 969) + chr(217 - 118) + '\157' + chr(100) + '\x65')('\x75' + chr(116) + chr(8722 - 8620) + chr(1206 - 1161) + chr(56)): f58E3BOZdNQv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa3\xfd\xca\x9bgtV\x90\xfc\x07\xc1\xb4'), '\x64' + chr(6858 - 6757) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1010100 + 0o41) + '\x74' + chr(1303 - 1201) + '\x2d' + chr(56)): SHlf6re8jrPz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa3\xfd\xca\x9bgtV\x90\xfc\x07\xc3'), '\x64' + chr(101) + chr(0b1000011 + 0o40) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + '\x38'): iJk2nUInpXWC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa3\xfd\xca\x9bgtV\x90\xfc\x07\xc4\xb4'), chr(2964 - 2864) + chr(0b1100101) + chr(99) + '\157' + chr(0b1100100 + 0o0) + chr(0b1000111 + 0o36))(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(0b111000)): V4xckI5unkHx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa3\xfd\xca\x9bgtV\x90\xba\x1b\xa9\xb0\x9bT'), chr(100) + chr(6023 - 5922) + chr(0b1100011) + chr(3603 - 3492) + chr(0b0 + 0o144) + chr(0b11 + 0o142))(chr(0b101100 + 0o111) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'): t5Ov2r0BWDTZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa3\xfd\xca\x9bgtV\x90\xba\x1b\xa9\xb1\x9bS\x85'), '\x64' + chr(101) + chr(99) + chr(3965 - 3854) + '\x64' + chr(101))(chr(0b110110 + 0o77) + '\164' + '\146' + '\x2d' + chr(56)): HNAwBFOfYEh7, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa3\xfd\xca\x9bgtV\x90\xba\x1b\xa9\xb1\x9bQ'), chr(7779 - 7679) + chr(101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + '\146' + chr(0b11000 + 0o25) + '\x38'): y2MHuX6HYu26, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa3\xfd\xca\x9bgtV\x90\xba\x1b\xa9\xb1\x9bV\x85'), '\x64' + chr(101) + '\143' + '\157' + chr(5068 - 4968) + chr(0b1100101))(chr(11599 - 11482) + '\x74' + chr(6904 - 6802) + '\x2d' + chr(0b111000)): ALVE2j96QjtP} AIvJRzLdDfgF = AIvJRzLdDfgF.lower() if AIvJRzLdDfgF not in wmo1XKbHVO0m: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'_\xa3\xfb\xc6\x9b"?@\xc4\xa5Z\xd6\xef\xda\x10\x90\x83D\xfe\xaf\xf2\xeb\xd4w\x0f\n8\xdc\x19\xf8\xb0PG\x17\x86\x97j\|\x14\x05{\xa3\xf1\xd0\xd7chV\xee\xc5\x0c\x85'), chr(100) + chr(101) + chr(0b1100011) + chr(2247 - 2136) + '\144' + chr(0b111010 + 0o53))('\165' + chr(9828 - 9712) + chr(0b1100110) + chr(1926 - 1881) + chr(907 - 851)) % (AIvJRzLdDfgF, xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xc5'), chr(0b100010 + 0o102) + chr(0b11000 + 0o115) + '\x63' + chr(11756 - 11645) + chr(100) + chr(1463 - 1362))(chr(10560 - 10443) + chr(9195 - 9079) + '\x66' + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'M\xa3\xc8\xfb\x8dvL}\x8a\xbda\xb0'), chr(0b1100100) + chr(101) + chr(0b1010110 + 0o15) + '\157' + '\x64' + chr(0b10001 + 0o124))(chr(0b1110101) + chr(0b1101100 + 0o10) + chr(0b100110 + 0o100) + chr(0b11011 + 0o22) + chr(0b0 + 0o70)))(vUlqIvNSaRMa(xafqLlk3kkUe(wmo1XKbHVO0m, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xa9\xe6\xd0'), chr(0b101101 + 0o67) + '\145' + '\x63' + chr(0b1110 + 0o141) + '\x64' + '\145')(chr(117) + '\164' + chr(0b10001 + 0o125) + '\x2d' + '\070'))())))) return wmo1XKbHVO0m[AIvJRzLdDfgF](M8EIoTs2GJXE)
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	_new_alloc_handle	def _new_alloc_handle(stype, shape, ctx, delay_alloc, dtype, aux_types, aux_shapes=None): """Return a new handle with specified storage type, shape, dtype and context. Empty handle is only used to hold results Returns ------- handle A new empty ndarray handle """ hdl = NDArrayHandle() for aux_t in aux_types: if np.dtype(aux_t) != np.dtype("int64"): raise NotImplementedError("only int64 is supported for aux types") aux_type_ids = [int(_DTYPE_NP_TO_MX[np.dtype(aux_t).type]) for aux_t in aux_types] aux_shapes = [(0,) for aux_t in aux_types] if aux_shapes is None else aux_shapes aux_shape_lens = [len(aux_shape) for aux_shape in aux_shapes] aux_shapes = py_sum(aux_shapes, ()) num_aux = mx_uint(len(aux_types)) check_call(_LIB.MXNDArrayCreateSparseEx( ctypes.c_int(int(_STORAGE_TYPE_STR_TO_ID[stype])), c_array_buf(mx_uint, native_array('I', shape)), mx_uint(len(shape)), ctypes.c_int(ctx.device_typeid), ctypes.c_int(ctx.device_id), ctypes.c_int(int(delay_alloc)), ctypes.c_int(int(_DTYPE_NP_TO_MX[np.dtype(dtype).type])), num_aux, c_array_buf(ctypes.c_int, native_array('i', aux_type_ids)), c_array_buf(mx_uint, native_array('I', aux_shape_lens)), c_array_buf(mx_uint, native_array('I', aux_shapes)), ctypes.byref(hdl))) return hdl	python	def _new_alloc_handle(stype, shape, ctx, delay_alloc, dtype, aux_types, aux_shapes=None): """Return a new handle with specified storage type, shape, dtype and context. Empty handle is only used to hold results Returns ------- handle A new empty ndarray handle """ hdl = NDArrayHandle() for aux_t in aux_types: if np.dtype(aux_t) != np.dtype("int64"): raise NotImplementedError("only int64 is supported for aux types") aux_type_ids = [int(_DTYPE_NP_TO_MX[np.dtype(aux_t).type]) for aux_t in aux_types] aux_shapes = [(0,) for aux_t in aux_types] if aux_shapes is None else aux_shapes aux_shape_lens = [len(aux_shape) for aux_shape in aux_shapes] aux_shapes = py_sum(aux_shapes, ()) num_aux = mx_uint(len(aux_types)) check_call(_LIB.MXNDArrayCreateSparseEx( ctypes.c_int(int(_STORAGE_TYPE_STR_TO_ID[stype])), c_array_buf(mx_uint, native_array('I', shape)), mx_uint(len(shape)), ctypes.c_int(ctx.device_typeid), ctypes.c_int(ctx.device_id), ctypes.c_int(int(delay_alloc)), ctypes.c_int(int(_DTYPE_NP_TO_MX[np.dtype(dtype).type])), num_aux, c_array_buf(ctypes.c_int, native_array('i', aux_type_ids)), c_array_buf(mx_uint, native_array('I', aux_shape_lens)), c_array_buf(mx_uint, native_array('I', aux_shapes)), ctypes.byref(hdl))) return hdl	[ "def", "_new_alloc_handle", "(", "stype", ",", "shape", ",", "ctx", ",", "delay_alloc", ",", "dtype", ",", "aux_types", ",", "aux_shapes", "=", "None", ")", ":", "hdl", "=", "NDArrayHandle", "(", ")", "for", "aux_t", "in", "aux_types", ":", "if", "np", ".", "dtype", "(", "aux_t", ")", "!=", "np", ".", "dtype", "(", "\"int64\"", ")", ":", "raise", "NotImplementedError", "(", "\"only int64 is supported for aux types\"", ")", "aux_type_ids", "=", "[", "int", "(", "_DTYPE_NP_TO_MX", "[", "np", ".", "dtype", "(", "aux_t", ")", ".", "type", "]", ")", "for", "aux_t", "in", "aux_types", "]", "aux_shapes", "=", "[", "(", "0", ",", ")", "for", "aux_t", "in", "aux_types", "]", "if", "aux_shapes", "is", "None", "else", "aux_shapes", "aux_shape_lens", "=", "[", "len", "(", "aux_shape", ")", "for", "aux_shape", "in", "aux_shapes", "]", "aux_shapes", "=", "py_sum", "(", "aux_shapes", ",", "(", ")", ")", "num_aux", "=", "mx_uint", "(", "len", "(", "aux_types", ")", ")", "check_call", "(", "_LIB", ".", "MXNDArrayCreateSparseEx", "(", "ctypes", ".", "c_int", "(", "int", "(", "_STORAGE_TYPE_STR_TO_ID", "[", "stype", "]", ")", ")", ",", "c_array_buf", "(", "mx_uint", ",", "native_array", "(", "'I'", ",", "shape", ")", ")", ",", "mx_uint", "(", "len", "(", "shape", ")", ")", ",", "ctypes", ".", "c_int", "(", "ctx", ".", "device_typeid", ")", ",", "ctypes", ".", "c_int", "(", "ctx", ".", "device_id", ")", ",", "ctypes", ".", "c_int", "(", "int", "(", "delay_alloc", ")", ")", ",", "ctypes", ".", "c_int", "(", "int", "(", "_DTYPE_NP_TO_MX", "[", "np", ".", "dtype", "(", "dtype", ")", ".", "type", "]", ")", ")", ",", "num_aux", ",", "c_array_buf", "(", "ctypes", ".", "c_int", ",", "native_array", "(", "'i'", ",", "aux_type_ids", ")", ")", ",", "c_array_buf", "(", "mx_uint", ",", "native_array", "(", "'I'", ",", "aux_shape_lens", ")", ")", ",", "c_array_buf", "(", "mx_uint", ",", "native_array", "(", "'I'", ",", "aux_shapes", ")", ")", ",", "ctypes", ".", "byref", "(", "hdl", ")", ")", ")", "return", "hdl" ]	Return a new handle with specified storage type, shape, dtype and context. Empty handle is only used to hold results Returns ------- handle A new empty ndarray handle	[ "Return", "a", "new", "handle", "with", "specified", "storage", "type", "shape", "dtype", "and", "context", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L72-L104	train	Return a new handle with specified storage type shape dtype and context.	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(352 - 304) + '\157' + chr(0b110101) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11110 + 0o23) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(50) + chr(55) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1108 - 1060) + '\157' + '\064' + '\x33', 0b1000), ehT0Px3KOsy9(chr(1067 - 1019) + '\x6f' + chr(0b110011) + chr(0b110010) + chr(48), 32686 - 32678), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + chr(2013 - 1964) + chr(0b101000 + 0o12) + chr(0b11011 + 0o30), 54169 - 54161), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1780 - 1728) + chr(0b101011 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x34' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(285 - 235) + '\061' + chr(0b1101 + 0o51), 0b1000), ehT0Px3KOsy9(chr(1065 - 1017) + chr(111) + '\x32' + '\061' + '\x37', 62828 - 62820), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\063' + '\064' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b110000) + chr(362 - 313), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1135 - 1024) + '\062' + '\062' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x31' + '\x30', 27903 - 27895), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1011101 + 0o22) + '\x33' + chr(49) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1615 - 1562) + '\067', 0b1000), ehT0Px3KOsy9(chr(1799 - 1751) + chr(0b1101111) + chr(51) + chr(267 - 216) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(6892 - 6781) + '\061' + chr(2455 - 2403) + '\x37', 0o10), ehT0Px3KOsy9(chr(1795 - 1747) + '\157' + chr(0b110111) + chr(0b110011), 23411 - 23403), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(1535 - 1485) + '\x31' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2189 - 2138) + '\x36' + '\061', 27237 - 27229), ehT0Px3KOsy9(chr(1804 - 1756) + '\157' + chr(1975 - 1926) + chr(285 - 235) + chr(0b11000 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(1243 - 1193) + '\062', 64373 - 64365), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x33' + chr(1621 - 1572) + chr(0b11100 + 0o24), 13511 - 13503), ehT0Px3KOsy9(chr(48) + chr(8762 - 8651) + chr(1057 - 1002) + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + chr(0b11011 + 0o30), 8), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + chr(49) + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2334 - 2283) + '\061' + chr(200 - 152), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(51) + chr(51) + chr(0b10010 + 0o36), 0b1000), ehT0Px3KOsy9(chr(1984 - 1936) + chr(0b1101111) + '\x33' + chr(0b1000 + 0o56) + chr(946 - 897), 8), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(0b11110 + 0o23) + chr(0b110010) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011), 53109 - 53101), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + '\x35' + chr(996 - 947), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\067', 63937 - 63929), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1010110 + 0o31) + chr(51) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(980 - 929) + chr(2292 - 2238) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(55) + chr(0b10100 + 0o41), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(1512 - 1462) + '\x34', 8), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\060' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101110 + 0o4) + chr(0b110111), 5897 - 5889)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101101 + 0o10) + chr(1179 - 1131), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), '\144' + chr(2335 - 2234) + '\143' + chr(1478 - 1367) + chr(0b1100100) + chr(1740 - 1639))(chr(117) + chr(0b1110100) + '\146' + chr(45) + chr(0b1101 + 0o53)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def dH4mZSHhFjwi(x6ekJyEqYIT6, nauYfLglTpcb, oM3jLo753XfX, WpBcPNh7jYMU, jSV9IKnemH7K, VYjK46ifZw8X, Jc3yDgbCJFms=None): WYHuLDJkKIZM = v4apgis0SrXp() for tgiMzfu9eA9z in VYjK46ifZw8X: if xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'A[\xee\x1a\x99\x18O\x86\xe3\xc7\xd7\n'), chr(100) + '\145' + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(6884 - 6767) + chr(0b1110100) + chr(102) + '\055' + chr(56)))(tgiMzfu9eA9z) != xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'A[\xee\x1a\x99\x18O\x86\xe3\xc7\xd7\n'), chr(9641 - 9541) + chr(1955 - 1854) + '\143' + '\157' + chr(0b1100000 + 0o4) + '\145')(chr(0b1101000 + 0o15) + chr(116) + '\x66' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'Bf\xcc\x15\xe4'), '\144' + chr(0b111011 + 0o52) + chr(4608 - 4509) + chr(111) + chr(0b1100011 + 0o1) + chr(0b1101 + 0o130))('\x75' + chr(11569 - 11453) + '\146' + '\055' + chr(0b1111 + 0o51))): raise _zJ24Vce7wp0(xafqLlk3kkUe(SXOLrMavuUCe(b'Df\xd4Z\xf0:O\x97\xb8\xbb\xc0(\xe7\xa8\xbcZ\xaf\x17T\xf9\x851\xf6\xe8[L%\xe8\xb9\x84(#]no\x93\x0e'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b101110 + 0o101) + chr(541 - 441) + chr(4321 - 4220))('\165' + chr(0b1000101 + 0o57) + chr(0b11010 + 0o114) + chr(0b101101) + chr(0b111000))) Ngh6ZihmxPfF = [ehT0Px3KOsy9(DX1GNb5Mermf[WqUC3KWvYVup.dtype(tgiMzfu9eA9z).wmQmyeWBmUpv]) for tgiMzfu9eA9z in VYjK46ifZw8X] Jc3yDgbCJFms = [(ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 0o10),) for tgiMzfu9eA9z in VYjK46ifZw8X] if Jc3yDgbCJFms is None else Jc3yDgbCJFms zY9nn2f1czRt = [c2A0yzQpDQB3(ZI0kCduoiiw7) for ZI0kCduoiiw7 in Jc3yDgbCJFms] Jc3yDgbCJFms = aepwZRsvV9rC(Jc3yDgbCJFms, ()) gGS0kjTu2BFX = RSEUJ_H3k51M(c2A0yzQpDQB3(VYjK46ifZw8X)) VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'fP\xf6g\x91!S\x82\xf7\xcc\x92$\xf5\xfc\xaa\|\xaf\x06I\xf8\x94\x11\xea'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + '\x64' + '\145')('\165' + chr(8755 - 8639) + chr(102) + chr(1732 - 1687) + '\x38'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'HW\xd1M\xa4'), '\x64' + chr(101) + chr(7299 - 7200) + chr(5994 - 5883) + '\x64' + chr(101))(chr(0b100110 + 0o117) + '\164' + chr(102) + chr(457 - 412) + '\070'))(ehT0Px3KOsy9(NI3IoJ1qhWyN[x6ekJyEqYIT6])), IWgIBOZX5BKJ(RSEUJ_H3k51M, S6rE7xUBQu5J(xafqLlk3kkUe(SXOLrMavuUCe(b'b'), chr(7235 - 7135) + chr(3144 - 3043) + chr(0b1100011) + '\x6f' + chr(0b10010 + 0o122) + '\x65')(chr(7108 - 6991) + chr(9544 - 9428) + chr(0b1111 + 0o127) + chr(45) + chr(0b101100 + 0o14)), nauYfLglTpcb)), RSEUJ_H3k51M(c2A0yzQpDQB3(nauYfLglTpcb)), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'HW\xd1M\xa4'), chr(6013 - 5913) + chr(0b1100101) + '\143' + chr(0b11011 + 0o124) + chr(0b100011 + 0o101) + chr(101))(chr(12514 - 12397) + chr(116) + chr(218 - 116) + '\x2d' + '\070'))(xafqLlk3kkUe(oM3jLo753XfX, xafqLlk3kkUe(SXOLrMavuUCe(b'Om\xceJ\xb36~\x97\xf7\xff\x85(\xf0'), chr(2631 - 2531) + '\x65' + '\143' + chr(111) + chr(3932 - 3832) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b1001 + 0o44) + '\x38'))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'HW\xd1M\xa4'), chr(0b110100 + 0o60) + '\x65' + '\143' + '\157' + chr(4320 - 4220) + '\145')('\x75' + chr(116) + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(oM3jLo753XfX, xafqLlk3kkUe(SXOLrMavuUCe(b'Om\xceJ\xb36~\x8a\xea'), chr(100) + chr(0b1100101) + chr(8695 - 8596) + chr(0b0 + 0o157) + '\x64' + '\145')(chr(0b1010 + 0o153) + chr(0b1110100) + '\x66' + chr(45) + chr(0b10101 + 0o43)))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'HW\xd1M\xa4'), chr(5438 - 5338) + chr(4310 - 4209) + '\x63' + '\x6f' + '\144' + chr(0b11110 + 0o107))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'))(ehT0Px3KOsy9(WpBcPNh7jYMU)), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'HW\xd1M\xa4'), chr(0b1001000 + 0o34) + chr(9311 - 9210) + chr(4153 - 4054) + chr(0b1101111) + chr(0b1000101 + 0o37) + '\x65')(chr(0b100100 + 0o121) + chr(7248 - 7132) + chr(102) + '\x2d' + '\070'))(ehT0Px3KOsy9(DX1GNb5Mermf[xafqLlk3kkUe(WqUC3KWvYVup.dtype(jSV9IKnemH7K), xafqLlk3kkUe(SXOLrMavuUCe(b'\\e\xe9N\xa96v\xa1\xe3\xda\x907'), '\x64' + chr(0b1100101) + chr(0b110110 + 0o55) + '\x6f' + chr(0b1100100) + chr(1888 - 1787))(chr(0b1110101) + '\x74' + chr(0b1010 + 0o134) + chr(303 - 258) + '\x38'))])), gGS0kjTu2BFX, IWgIBOZX5BKJ(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'HW\xd1M\xa4'), '\x64' + '\145' + chr(2975 - 2876) + chr(111) + chr(6519 - 6419) + chr(0b101111 + 0o66))(chr(0b1001010 + 0o53) + '\164' + chr(0b1001101 + 0o31) + chr(0b101000 + 0o5) + chr(0b111000))), S6rE7xUBQu5J(xafqLlk3kkUe(SXOLrMavuUCe(b'B'), '\144' + '\145' + chr(0b1100011) + '\157' + chr(100) + '\145')('\165' + '\164' + chr(0b11110 + 0o110) + chr(0b101101) + chr(0b1100 + 0o54)), Ngh6ZihmxPfF)), IWgIBOZX5BKJ(RSEUJ_H3k51M, S6rE7xUBQu5J(xafqLlk3kkUe(SXOLrMavuUCe(b'b'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + '\x64' + chr(9666 - 9565))(chr(0b1010010 + 0o43) + '\x74' + '\146' + '\055' + '\x38'), zY9nn2f1czRt)), IWgIBOZX5BKJ(RSEUJ_H3k51M, S6rE7xUBQu5J(xafqLlk3kkUe(SXOLrMavuUCe(b'b'), '\x64' + chr(195 - 94) + chr(99) + chr(111) + chr(3094 - 2994) + chr(101))(chr(0b1110101) + chr(4329 - 4213) + '\x66' + chr(45) + '\x38'), Jc3yDgbCJFms)), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'Iq\xcaF\xb6'), chr(100) + '\x65' + '\143' + chr(111) + chr(0b101000 + 0o74) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(0b111000)))(WYHuLDJkKIZM))) return WYHuLDJkKIZM
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	_prepare_src_array	def _prepare_src_array(source_array, dtype): """Prepare `source_array` so that it can be used to construct NDArray. `source_array` is converted to a `np.ndarray` if it's neither an `NDArray` \ nor an `np.ndarray`. """ if not isinstance(source_array, NDArray) and not isinstance(source_array, np.ndarray): try: source_array = np.array(source_array, dtype=dtype) except: raise TypeError('values must be array like object') return source_array	python	def _prepare_src_array(source_array, dtype): """Prepare `source_array` so that it can be used to construct NDArray. `source_array` is converted to a `np.ndarray` if it's neither an `NDArray` \ nor an `np.ndarray`. """ if not isinstance(source_array, NDArray) and not isinstance(source_array, np.ndarray): try: source_array = np.array(source_array, dtype=dtype) except: raise TypeError('values must be array like object') return source_array	[ "def", "_prepare_src_array", "(", "source_array", ",", "dtype", ")", ":", "if", "not", "isinstance", "(", "source_array", ",", "NDArray", ")", "and", "not", "isinstance", "(", "source_array", ",", "np", ".", "ndarray", ")", ":", "try", ":", "source_array", "=", "np", ".", "array", "(", "source_array", ",", "dtype", "=", "dtype", ")", "except", ":", "raise", "TypeError", "(", "'values must be array like object'", ")", "return", "source_array" ]	Prepare `source_array` so that it can be used to construct NDArray. `source_array` is converted to a `np.ndarray` if it's neither an `NDArray` \ nor an `np.ndarray`.	[ "Prepare", "source_array", "so", "that", "it", "can", "be", "used", "to", "construct", "NDArray", ".", "source_array", "is", "converted", "to", "a", "np", ".", "ndarray", "if", "it", "s", "neither", "an", "NDArray", "\\", "nor", "an", "np", ".", "ndarray", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L796-L806	train	Prepare source_array so that it can be used to construct NDArray.	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(2504 - 2393) + chr(49) + '\061' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b100101 + 0o22), 62741 - 62733), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101 + 0o142) + '\063' + chr(0b110111) + chr(0b100 + 0o56), 35347 - 35339), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(55) + chr(0b0 + 0o67), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b100100 + 0o17) + '\062', 33680 - 33672), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(81 - 32) + chr(0b110111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b110010) + chr(936 - 883) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(50) + chr(0b110000) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(397 - 349) + '\157' + chr(2148 - 2098) + chr(0b110110) + chr(0b110100 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(623 - 575), 0b1000), ehT0Px3KOsy9('\060' + chr(5319 - 5208) + '\x32' + chr(1746 - 1698) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1830 - 1782) + '\x6f' + chr(0b110001) + chr(0b10001 + 0o46) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2459 - 2407) + chr(0b100 + 0o61), 0o10), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(1520 - 1469) + chr(50) + chr(50), 24719 - 24711), ehT0Px3KOsy9(chr(836 - 788) + chr(0b1101111) + chr(2274 - 2223) + chr(0b101011 + 0o12) + chr(2210 - 2157), ord("\x08")), ehT0Px3KOsy9(chr(361 - 313) + chr(111) + chr(0b100000 + 0o23) + chr(52) + chr(0b110011 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(1775 - 1727), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1010111 + 0o30) + chr(0b110001) + chr(360 - 306) + chr(2551 - 2497), 57082 - 57074), ehT0Px3KOsy9('\x30' + '\157' + chr(54) + chr(0b11 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 2303 - 2295), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(53) + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(2093 - 2042) + chr(0b101110 + 0o10) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(444 - 394) + chr(0b101 + 0o55) + chr(1604 - 1552), 28269 - 28261), ehT0Px3KOsy9(chr(1889 - 1841) + chr(6623 - 6512) + '\x32' + '\x31' + '\x33', 4097 - 4089), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\063' + chr(0b110101) + '\066', 23499 - 23491), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x37' + chr(2811 - 2756), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(6618 - 6507) + chr(1122 - 1072) + '\x33' + chr(53), 44984 - 44976), ehT0Px3KOsy9(chr(1975 - 1927) + chr(10422 - 10311) + chr(0b110010) + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7658 - 7547) + '\x31' + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110110) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(3377 - 3266) + '\062' + chr(48) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11000 + 0o36) + chr(2161 - 2106), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + chr(49) + chr(54) + '\064', 0b1000), ehT0Px3KOsy9(chr(1864 - 1816) + chr(111) + '\065' + chr(55), 8), ehT0Px3KOsy9(chr(1522 - 1474) + '\157' + '\x31' + '\061' + chr(225 - 174), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11 + 0o57) + '\x33' + chr(454 - 402), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(1275 - 1225) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1250 - 1201) + chr(1818 - 1770) + '\x30', 62815 - 62807), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b101 + 0o57) + chr(49), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(196 - 148), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'`'), '\x64' + chr(0b1100101) + '\143' + chr(0b1010 + 0o145) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1001111 + 0o45) + chr(102) + chr(0b101101) + chr(818 - 762)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def TRMQLcYDQYSc(RYfxCklHRUIZ, jSV9IKnemH7K): if not PlSM16l2KDPD(RYfxCklHRUIZ, GdqFjMbtKL7s) and (not PlSM16l2KDPD(RYfxCklHRUIZ, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b' K\x9b\xcd(\x1f\xd7'), chr(100) + chr(2306 - 2205) + chr(0b1100011) + chr(4379 - 4268) + '\x64' + chr(0b100001 + 0o104))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(56))))): try: RYfxCklHRUIZ = WqUC3KWvYVup.B0ePDhpqxN5n(RYfxCklHRUIZ, dtype=jSV9IKnemH7K) except ZVWAAMjVVHHl: raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'8N\x96\xca?\r\x8e\xe9\xc1{\xf6_G\xb7\xcd\x84Z\x04Px\x0e\x86\x9e\xff\xee\xce\x10\xff\xf8\x19R\xf0'), chr(8248 - 8148) + '\145' + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b10111 + 0o117) + chr(0b101101) + chr(0b111000))) return RYfxCklHRUIZ
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	_prepare_default_dtype	def _prepare_default_dtype(src_array, dtype): """Prepare the value of dtype if `dtype` is None. If `src_array` is an NDArray, numpy.ndarray or scipy.sparse.csr.csr_matrix, return src_array.dtype. float32 is returned otherwise.""" if dtype is None: if isinstance(src_array, (NDArray, np.ndarray)): dtype = src_array.dtype elif spsp and isinstance(src_array, spsp.csr.csr_matrix): dtype = src_array.dtype else: dtype = mx_real_t return dtype	python	def _prepare_default_dtype(src_array, dtype): """Prepare the value of dtype if `dtype` is None. If `src_array` is an NDArray, numpy.ndarray or scipy.sparse.csr.csr_matrix, return src_array.dtype. float32 is returned otherwise.""" if dtype is None: if isinstance(src_array, (NDArray, np.ndarray)): dtype = src_array.dtype elif spsp and isinstance(src_array, spsp.csr.csr_matrix): dtype = src_array.dtype else: dtype = mx_real_t return dtype	[ "def", "_prepare_default_dtype", "(", "src_array", ",", "dtype", ")", ":", "if", "dtype", "is", "None", ":", "if", "isinstance", "(", "src_array", ",", "(", "NDArray", ",", "np", ".", "ndarray", ")", ")", ":", "dtype", "=", "src_array", ".", "dtype", "elif", "spsp", "and", "isinstance", "(", "src_array", ",", "spsp", ".", "csr", ".", "csr_matrix", ")", ":", "dtype", "=", "src_array", ".", "dtype", "else", ":", "dtype", "=", "mx_real_t", "return", "dtype" ]	Prepare the value of dtype if `dtype` is None. If `src_array` is an NDArray, numpy.ndarray or scipy.sparse.csr.csr_matrix, return src_array.dtype. float32 is returned otherwise.	[ "Prepare", "the", "value", "of", "dtype", "if", "dtype", "is", "None", ".", "If", "src_array", "is", "an", "NDArray", "numpy", ".", "ndarray", "or", "scipy", ".", "sparse", ".", "csr", ".", "csr_matrix", "return", "src_array", ".", "dtype", ".", "float32", "is", "returned", "otherwise", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L808-L818	train	Prepare the value of dtype if dtype is 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(chr(48) + '\x6f' + chr(50) + chr(0b10011 + 0o40) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2083 - 1972) + chr(49) + chr(49) + chr(54), 61790 - 61782), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + '\x33' + chr(0b110100) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(1213 - 1165) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(4916 - 4805) + chr(0b11001 + 0o32) + chr(0b110001) + '\x33', 44112 - 44104), ehT0Px3KOsy9(chr(2295 - 2247) + '\x6f' + chr(1467 - 1417) + chr(0b101001 + 0o14) + chr(2675 - 2620), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2117 - 2066) + '\066' + '\x34', 42247 - 42239), ehT0Px3KOsy9(chr(392 - 344) + chr(111) + chr(599 - 548) + '\x31' + chr(0b110111), 36611 - 36603), ehT0Px3KOsy9(chr(48) + '\157' + chr(2000 - 1951) + '\062' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7626 - 7515) + chr(0b11001 + 0o32) + chr(0b110010) + chr(51), 57792 - 57784), ehT0Px3KOsy9('\x30' + chr(9612 - 9501) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1532 - 1483) + chr(1460 - 1409) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x33' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o57) + chr(0b1010 + 0o46) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(812 - 764) + chr(111) + chr(0b110011) + chr(0b11101 + 0o25) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o62) + '\x35' + chr(0b110100), 65022 - 65014), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b101000 + 0o12) + '\x33' + chr(2470 - 2420), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2173 - 2124) + '\065', 14123 - 14115), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110100), 14952 - 14944), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b11111 + 0o21) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1103 - 1053) + chr(0b110010 + 0o1) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(798 - 750) + '\x6f' + chr(0b101000 + 0o11) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1468 - 1420) + chr(0b1101111) + chr(502 - 452) + '\x31' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(347 - 299) + chr(111) + '\x32' + chr(0b11 + 0o62) + chr(1487 - 1434), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110011) + chr(55) + chr(0b11100 + 0o26), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + '\x31' + chr(0b110001) + '\063', 37731 - 37723), ehT0Px3KOsy9(chr(0b110000) + chr(3185 - 3074) + chr(0b110100) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1261 - 1213) + chr(0b1101111 + 0o0) + '\063' + chr(0b11111 + 0o26) + chr(53), 52755 - 52747), ehT0Px3KOsy9(chr(1701 - 1653) + '\157' + chr(50) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(3998 - 3887) + chr(0b1111 + 0o43) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(240 - 191) + chr(0b110111) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2230 - 2181) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101001 + 0o10) + chr(2341 - 2287) + chr(1161 - 1112), 0o10), ehT0Px3KOsy9(chr(2085 - 2037) + '\x6f' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + '\x31' + '\061' + chr(55), 15297 - 15289), ehT0Px3KOsy9(chr(1046 - 998) + chr(0b1101111) + chr(50) + '\x31' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(8363 - 8252) + chr(0b110010) + chr(1886 - 1837), 0b1000), ehT0Px3KOsy9(chr(1293 - 1245) + '\x6f' + '\x33' + chr(55) + chr(0b11000 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(440 - 392) + chr(111) + chr(1588 - 1539) + chr(51) + '\x35', 8), ehT0Px3KOsy9(chr(312 - 264) + chr(0b11010 + 0o125) + '\x32' + chr(0b110111) + chr(0b11010 + 0o33), 50599 - 50591)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1753 - 1705) + '\157' + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2'), '\144' + chr(2398 - 2297) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')('\x75' + '\164' + '\x66' + chr(1698 - 1653) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def kPPYRHvTFvTj(_lYwsCkOohKg, jSV9IKnemH7K): if jSV9IKnemH7K is None: if PlSM16l2KDPD(_lYwsCkOohKg, (GdqFjMbtKL7s, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2*\x83\xf5\xb9\xce\x8d'), '\144' + '\145' + '\143' + chr(0b1101111) + '\144' + '\x65')('\165' + chr(5766 - 5650) + chr(0b1010010 + 0o24) + chr(1785 - 1740) + '\070')))): jSV9IKnemH7K = _lYwsCkOohKg.jSV9IKnemH7K elif ja04wlJz6Qus and PlSM16l2KDPD(_lYwsCkOohKg, xafqLlk3kkUe(ja04wlJz6Qus.csr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff=\x90\xd8\xa6\xce\x80\xbd;\xab'), chr(100) + chr(0b1100101) + chr(6930 - 6831) + chr(111) + chr(0b1010010 + 0o22) + chr(7736 - 7635))(chr(117) + '\x74' + chr(0b1000000 + 0o46) + chr(508 - 463) + '\x38'))): jSV9IKnemH7K = _lYwsCkOohKg.jSV9IKnemH7K else: jSV9IKnemH7K = JsaW5JBGnibT return jSV9IKnemH7K
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	_check_shape	def _check_shape(s1, s2): """check s1 == s2 if both are not None""" if s1 and s2 and s1 != s2: raise ValueError("Shape mismatch detected. " + str(s1) + " v.s. " + str(s2))	python	def _check_shape(s1, s2): """check s1 == s2 if both are not None""" if s1 and s2 and s1 != s2: raise ValueError("Shape mismatch detected. " + str(s1) + " v.s. " + str(s2))	[ "def", "_check_shape", "(", "s1", ",", "s2", ")", ":", "if", "s1", "and", "s2", "and", "s1", "!=", "s2", ":", "raise", "ValueError", "(", "\"Shape mismatch detected. \"", "+", "str", "(", "s1", ")", "+", "\" v.s. \"", "+", "str", "(", "s2", ")", ")" ]	check s1 == s2 if both are not None	[ "check", "s1", "==", "s2", "if", "both", "are", "not", "None" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L820-L823	train	check if shape is correct	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(2036 - 1988) + '\x6f' + chr(51) + chr(0b10010 + 0o45) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(51) + chr(0b110001) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b11100 + 0o123) + '\x31' + chr(1704 - 1656) + '\x31', 0o10), ehT0Px3KOsy9(chr(652 - 604) + chr(0b1101111) + chr(0b110011) + '\x30' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9294 - 9183) + chr(1544 - 1493) + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(2473 - 2419) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(513 - 402) + '\062' + '\066', 15984 - 15976), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x36' + chr(54), 0b1000), ehT0Px3KOsy9(chr(676 - 628) + chr(111) + '\062' + '\x31' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(4430 - 4319) + chr(0b101111 + 0o2) + chr(2073 - 2022), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(0b110010) + chr(0b110111 + 0o0) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(55) + '\x37', 58953 - 58945), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\061' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o47) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(132 - 81) + chr(0b110010) + chr(0b100 + 0o54), 0o10), ehT0Px3KOsy9(chr(1212 - 1164) + chr(0b1101111) + '\x32' + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\061' + '\067', 27161 - 27153), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\065' + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\067' + '\061', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1001100 + 0o43) + chr(1693 - 1643) + chr(48) + chr(0b101010 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + chr(0b101000 + 0o11) + chr(2511 - 2458) + chr(66 - 11), 0o10), ehT0Px3KOsy9('\x30' + chr(1830 - 1719) + chr(786 - 737) + chr(0b100010 + 0o24) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101101 + 0o2) + chr(0b110010) + chr(1266 - 1218) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(1828 - 1779) + '\x34' + '\060', 0b1000), ehT0Px3KOsy9(chr(686 - 638) + '\x6f' + chr(51) + chr(572 - 520) + chr(1464 - 1410), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(0b101100 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + '\x31' + chr(0b110110) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(0b110010) + chr(1769 - 1720) + chr(560 - 511), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(933 - 880) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100001 + 0o20) + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x31' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(967 - 915) + chr(600 - 551), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(922 - 872) + chr(0b110100) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\062' + chr(274 - 225), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(715 - 662) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b10110 + 0o33) + '\060', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b100111 + 0o12) + '\x36' + chr(1430 - 1378), 40673 - 40665)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(883 - 835) + '\x6f' + chr(1156 - 1103) + '\x30', 8136 - 8128)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), chr(2366 - 2266) + chr(0b1010101 + 0o20) + chr(0b1100011) + '\x6f' + chr(0b1011001 + 0o13) + chr(3438 - 3337))(chr(0b100100 + 0o121) + chr(116) + chr(0b1111 + 0o127) + chr(0b10001 + 0o34) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def mUHVhbokbjkx(ujz6gRd2CBxn, JrUk4RFbYVnF): if ujz6gRd2CBxn and JrUk4RFbYVnF and (ujz6gRd2CBxn != JrUk4RFbYVnF): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xa0 \xb3\x8f\x95\x00\x7f\xc5\xe2j\xcc\xdc!\xa2\xb4s{\x0e\x1a\xf2\n\x12\xaa@'), '\144' + chr(0b101101 + 0o70) + chr(0b110101 + 0o56) + chr(111) + '\144' + chr(2487 - 2386))('\x75' + chr(116) + '\146' + chr(734 - 689) + chr(680 - 624)) + M8_cKLkHVB2V(ujz6gRd2CBxn) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xbeo\xb0\xc4\x95'), chr(100) + chr(101) + chr(0b1 + 0o142) + chr(0b1001001 + 0o46) + chr(0b1100100) + '\x65')('\x75' + chr(0b1101 + 0o147) + '\146' + chr(0b1011 + 0o42) + chr(56)) + M8_cKLkHVB2V(JrUk4RFbYVnF))
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	csr_matrix	def csr_matrix(arg1, shape=None, ctx=None, dtype=None): """Creates a `CSRNDArray`, an 2D array with compressed sparse row (CSR) format. The CSRNDArray can be instantiated in several ways: - csr_matrix(D): to construct a CSRNDArray with a dense 2D array ``D`` - D (array_like) - An object exposing the array interface, an object whose \ `__array__` method returns an array, or any (nested) sequence. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``D.dtype`` if ``D`` is an NDArray or numpy.ndarray, \ float32 otherwise. - csr_matrix(S) to construct a CSRNDArray with a sparse 2D array ``S`` - S (CSRNDArray or scipy.sparse.csr.csr_matrix) - A sparse matrix. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``S.dtype``. - csr_matrix((M, N)) to construct an empty CSRNDArray with shape ``(M, N)`` - M (int) - Number of rows in the matrix - N (int) - Number of columns in the matrix - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. - csr_matrix((data, indices, indptr)) to construct a CSRNDArray based on the definition of compressed sparse row format \ using three separate arrays, \ where the column indices for row i are stored in ``indices[indptr[i]:indptr[i+1]]`` \ and their corresponding values are stored in ``data[indptr[i]:indptr[i+1]]``. \ The column indices for a given row are expected to be sorted in ascending order. \ Duplicate column entries for the same row are not allowed. - data (array_like) - An object exposing the array interface, which \ holds all the non-zero entries of the matrix in row-major order. - indices (array_like) - An object exposing the array interface, which \ stores the column index for each non-zero element in ``data``. - indptr (array_like) - An object exposing the array interface, which \ stores the offset into ``data`` of the first non-zero element number of each \ row of the matrix. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the indices and indptr arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``data.dtype`` if ``data`` is an NDArray or numpy.ndarray, \ float32 otherwise. - csr_matrix((data, (row, col))) to construct a CSRNDArray based on the COOrdinate format \ using three seperate arrays, \ where ``row[i]`` is the row index of the element, \ ``col[i]`` is the column index of the element \ and ``data[i]`` is the data corresponding to the element. All the missing \ elements in the input are taken to be zeroes. - data (array_like) - An object exposing the array interface, which \ holds all the non-zero entries of the matrix in COO format. - row (array_like) - An object exposing the array interface, which \ stores the row index for each non zero element in ``data``. - col (array_like) - An object exposing the array interface, which \ stores the col index for each non zero element in ``data``. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the ``row`` and ``col`` arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. Parameters ---------- arg1: tuple of int, tuple of array_like, array_like, CSRNDArray, scipy.sparse.csr_matrix, \ scipy.sparse.coo_matrix, tuple of int or tuple of array_like The argument to help instantiate the csr matrix. See above for further details. shape : tuple of int, optional The shape of the csr matrix. ctx: Context, optional Device context (default is the current default context). dtype: str or numpy.dtype, optional The data type of the output array. Returns ------- CSRNDArray A `CSRNDArray` with the `csr` storage representation. Example ------- >>> a = mx.nd.sparse.csr_matrix(([1, 2, 3], [1, 0, 2], [0, 1, 2, 2, 3]), shape=(4, 3)) >>> a.asnumpy() array([[ 0., 1., 0.], [ 2., 0., 0.], [ 0., 0., 0.], [ 0., 0., 3.]], dtype=float32) See Also -------- CSRNDArray : MXNet NDArray in compressed sparse row format. """ # construct a csr matrix from (M, N) or (data, indices, indptr) if isinstance(arg1, tuple): arg_len = len(arg1) if arg_len == 2: # construct a sparse csr matrix from # scipy coo matrix if input format is coo if isinstance(arg1[1], tuple) and len(arg1[1]) == 2: data, (row, col) = arg1 if isinstance(data, NDArray): data = data.asnumpy() if isinstance(row, NDArray): row = row.asnumpy() if isinstance(col, NDArray): col = col.asnumpy() coo = spsp.coo_matrix((data, (row, col)), shape=shape) _check_shape(coo.shape, shape) csr = coo.tocsr() return array(csr, ctx=ctx, dtype=dtype) else: # empty matrix with shape _check_shape(arg1, shape) return empty('csr', arg1, ctx=ctx, dtype=dtype) elif arg_len == 3: # data, indices, indptr return _csr_matrix_from_definition(arg1[0], arg1[1], arg1[2], shape=shape, ctx=ctx, dtype=dtype) else: raise ValueError("Unexpected length of input tuple: " + str(arg_len)) else: # construct a csr matrix from a sparse / dense one if isinstance(arg1, CSRNDArray) or (spsp and isinstance(arg1, spsp.csr.csr_matrix)): # construct a csr matrix from scipy or CSRNDArray _check_shape(arg1.shape, shape) return array(arg1, ctx=ctx, dtype=dtype) elif isinstance(arg1, RowSparseNDArray): raise ValueError("Unexpected input type: RowSparseNDArray") else: # construct a csr matrix from a dense one # prepare default ctx and dtype since mx.nd.array doesn't use default values # based on source_array dtype = _prepare_default_dtype(arg1, dtype) # create dns array with provided dtype. ctx is not passed since copy across # ctx requires dtype to be the same dns = _array(arg1, dtype=dtype) if ctx is not None and dns.context != ctx: dns = dns.as_in_context(ctx) _check_shape(dns.shape, shape) return dns.tostype('csr')	python	def csr_matrix(arg1, shape=None, ctx=None, dtype=None): """Creates a `CSRNDArray`, an 2D array with compressed sparse row (CSR) format. The CSRNDArray can be instantiated in several ways: - csr_matrix(D): to construct a CSRNDArray with a dense 2D array ``D`` - D (array_like) - An object exposing the array interface, an object whose \ `__array__` method returns an array, or any (nested) sequence. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``D.dtype`` if ``D`` is an NDArray or numpy.ndarray, \ float32 otherwise. - csr_matrix(S) to construct a CSRNDArray with a sparse 2D array ``S`` - S (CSRNDArray or scipy.sparse.csr.csr_matrix) - A sparse matrix. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``S.dtype``. - csr_matrix((M, N)) to construct an empty CSRNDArray with shape ``(M, N)`` - M (int) - Number of rows in the matrix - N (int) - Number of columns in the matrix - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. - csr_matrix((data, indices, indptr)) to construct a CSRNDArray based on the definition of compressed sparse row format \ using three separate arrays, \ where the column indices for row i are stored in ``indices[indptr[i]:indptr[i+1]]`` \ and their corresponding values are stored in ``data[indptr[i]:indptr[i+1]]``. \ The column indices for a given row are expected to be sorted in ascending order. \ Duplicate column entries for the same row are not allowed. - data (array_like) - An object exposing the array interface, which \ holds all the non-zero entries of the matrix in row-major order. - indices (array_like) - An object exposing the array interface, which \ stores the column index for each non-zero element in ``data``. - indptr (array_like) - An object exposing the array interface, which \ stores the offset into ``data`` of the first non-zero element number of each \ row of the matrix. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the indices and indptr arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``data.dtype`` if ``data`` is an NDArray or numpy.ndarray, \ float32 otherwise. - csr_matrix((data, (row, col))) to construct a CSRNDArray based on the COOrdinate format \ using three seperate arrays, \ where ``row[i]`` is the row index of the element, \ ``col[i]`` is the column index of the element \ and ``data[i]`` is the data corresponding to the element. All the missing \ elements in the input are taken to be zeroes. - data (array_like) - An object exposing the array interface, which \ holds all the non-zero entries of the matrix in COO format. - row (array_like) - An object exposing the array interface, which \ stores the row index for each non zero element in ``data``. - col (array_like) - An object exposing the array interface, which \ stores the col index for each non zero element in ``data``. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the ``row`` and ``col`` arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. Parameters ---------- arg1: tuple of int, tuple of array_like, array_like, CSRNDArray, scipy.sparse.csr_matrix, \ scipy.sparse.coo_matrix, tuple of int or tuple of array_like The argument to help instantiate the csr matrix. See above for further details. shape : tuple of int, optional The shape of the csr matrix. ctx: Context, optional Device context (default is the current default context). dtype: str or numpy.dtype, optional The data type of the output array. Returns ------- CSRNDArray A `CSRNDArray` with the `csr` storage representation. Example ------- >>> a = mx.nd.sparse.csr_matrix(([1, 2, 3], [1, 0, 2], [0, 1, 2, 2, 3]), shape=(4, 3)) >>> a.asnumpy() array([[ 0., 1., 0.], [ 2., 0., 0.], [ 0., 0., 0.], [ 0., 0., 3.]], dtype=float32) See Also -------- CSRNDArray : MXNet NDArray in compressed sparse row format. """ # construct a csr matrix from (M, N) or (data, indices, indptr) if isinstance(arg1, tuple): arg_len = len(arg1) if arg_len == 2: # construct a sparse csr matrix from # scipy coo matrix if input format is coo if isinstance(arg1[1], tuple) and len(arg1[1]) == 2: data, (row, col) = arg1 if isinstance(data, NDArray): data = data.asnumpy() if isinstance(row, NDArray): row = row.asnumpy() if isinstance(col, NDArray): col = col.asnumpy() coo = spsp.coo_matrix((data, (row, col)), shape=shape) _check_shape(coo.shape, shape) csr = coo.tocsr() return array(csr, ctx=ctx, dtype=dtype) else: # empty matrix with shape _check_shape(arg1, shape) return empty('csr', arg1, ctx=ctx, dtype=dtype) elif arg_len == 3: # data, indices, indptr return _csr_matrix_from_definition(arg1[0], arg1[1], arg1[2], shape=shape, ctx=ctx, dtype=dtype) else: raise ValueError("Unexpected length of input tuple: " + str(arg_len)) else: # construct a csr matrix from a sparse / dense one if isinstance(arg1, CSRNDArray) or (spsp and isinstance(arg1, spsp.csr.csr_matrix)): # construct a csr matrix from scipy or CSRNDArray _check_shape(arg1.shape, shape) return array(arg1, ctx=ctx, dtype=dtype) elif isinstance(arg1, RowSparseNDArray): raise ValueError("Unexpected input type: RowSparseNDArray") else: # construct a csr matrix from a dense one # prepare default ctx and dtype since mx.nd.array doesn't use default values # based on source_array dtype = _prepare_default_dtype(arg1, dtype) # create dns array with provided dtype. ctx is not passed since copy across # ctx requires dtype to be the same dns = _array(arg1, dtype=dtype) if ctx is not None and dns.context != ctx: dns = dns.as_in_context(ctx) _check_shape(dns.shape, shape) return dns.tostype('csr')	[ "def", "csr_matrix", "(", "arg1", ",", "shape", "=", "None", ",", "ctx", "=", "None", ",", "dtype", "=", "None", ")", ":", "# construct a csr matrix from (M, N) or (data, indices, indptr)", "if", "isinstance", "(", "arg1", ",", "tuple", ")", ":", "arg_len", "=", "len", "(", "arg1", ")", "if", "arg_len", "==", "2", ":", "# construct a sparse csr matrix from", "# scipy coo matrix if input format is coo", "if", "isinstance", "(", "arg1", "[", "1", "]", ",", "tuple", ")", "and", "len", "(", "arg1", "[", "1", "]", ")", "==", "2", ":", "data", ",", "(", "row", ",", "col", ")", "=", "arg1", "if", "isinstance", "(", "data", ",", "NDArray", ")", ":", "data", "=", "data", ".", "asnumpy", "(", ")", "if", "isinstance", "(", "row", ",", "NDArray", ")", ":", "row", "=", "row", ".", "asnumpy", "(", ")", "if", "isinstance", "(", "col", ",", "NDArray", ")", ":", "col", "=", "col", ".", "asnumpy", "(", ")", "coo", "=", "spsp", ".", "coo_matrix", "(", "(", "data", ",", "(", "row", ",", "col", ")", ")", ",", "shape", "=", "shape", ")", "_check_shape", "(", "coo", ".", "shape", ",", "shape", ")", "csr", "=", "coo", ".", "tocsr", "(", ")", "return", "array", "(", "csr", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "else", ":", "# empty matrix with shape", "_check_shape", "(", "arg1", ",", "shape", ")", "return", "empty", "(", "'csr'", ",", "arg1", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "elif", "arg_len", "==", "3", ":", "# data, indices, indptr", "return", "_csr_matrix_from_definition", "(", "arg1", "[", "0", "]", ",", "arg1", "[", "1", "]", ",", "arg1", "[", "2", "]", ",", "shape", "=", "shape", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "else", ":", "raise", "ValueError", "(", "\"Unexpected length of input tuple: \"", "+", "str", "(", "arg_len", ")", ")", "else", ":", "# construct a csr matrix from a sparse / dense one", "if", "isinstance", "(", "arg1", ",", "CSRNDArray", ")", "or", "(", "spsp", "and", "isinstance", "(", "arg1", ",", "spsp", ".", "csr", ".", "csr_matrix", ")", ")", ":", "# construct a csr matrix from scipy or CSRNDArray", "_check_shape", "(", "arg1", ".", "shape", ",", "shape", ")", "return", "array", "(", "arg1", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "elif", "isinstance", "(", "arg1", ",", "RowSparseNDArray", ")", ":", "raise", "ValueError", "(", "\"Unexpected input type: RowSparseNDArray\"", ")", "else", ":", "# construct a csr matrix from a dense one", "# prepare default ctx and dtype since mx.nd.array doesn't use default values", "# based on source_array", "dtype", "=", "_prepare_default_dtype", "(", "arg1", ",", "dtype", ")", "# create dns array with provided dtype. ctx is not passed since copy across", "# ctx requires dtype to be the same", "dns", "=", "_array", "(", "arg1", ",", "dtype", "=", "dtype", ")", "if", "ctx", "is", "not", "None", "and", "dns", ".", "context", "!=", "ctx", ":", "dns", "=", "dns", ".", "as_in_context", "(", "ctx", ")", "_check_shape", "(", "dns", ".", "shape", ",", "shape", ")", "return", "dns", ".", "tostype", "(", "'csr'", ")" ]	Creates a `CSRNDArray`, an 2D array with compressed sparse row (CSR) format. The CSRNDArray can be instantiated in several ways: - csr_matrix(D): to construct a CSRNDArray with a dense 2D array ``D`` - D (array_like) - An object exposing the array interface, an object whose \ `__array__` method returns an array, or any (nested) sequence. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``D.dtype`` if ``D`` is an NDArray or numpy.ndarray, \ float32 otherwise. - csr_matrix(S) to construct a CSRNDArray with a sparse 2D array ``S`` - S (CSRNDArray or scipy.sparse.csr.csr_matrix) - A sparse matrix. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``S.dtype``. - csr_matrix((M, N)) to construct an empty CSRNDArray with shape ``(M, N)`` - M (int) - Number of rows in the matrix - N (int) - Number of columns in the matrix - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. - csr_matrix((data, indices, indptr)) to construct a CSRNDArray based on the definition of compressed sparse row format \ using three separate arrays, \ where the column indices for row i are stored in ``indices[indptr[i]:indptr[i+1]]`` \ and their corresponding values are stored in ``data[indptr[i]:indptr[i+1]]``. \ The column indices for a given row are expected to be sorted in ascending order. \ Duplicate column entries for the same row are not allowed. - data (array_like) - An object exposing the array interface, which \ holds all the non-zero entries of the matrix in row-major order. - indices (array_like) - An object exposing the array interface, which \ stores the column index for each non-zero element in ``data``. - indptr (array_like) - An object exposing the array interface, which \ stores the offset into ``data`` of the first non-zero element number of each \ row of the matrix. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the indices and indptr arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``data.dtype`` if ``data`` is an NDArray or numpy.ndarray, \ float32 otherwise. - csr_matrix((data, (row, col))) to construct a CSRNDArray based on the COOrdinate format \ using three seperate arrays, \ where ``row[i]`` is the row index of the element, \ ``col[i]`` is the column index of the element \ and ``data[i]`` is the data corresponding to the element. All the missing \ elements in the input are taken to be zeroes. - data (array_like) - An object exposing the array interface, which \ holds all the non-zero entries of the matrix in COO format. - row (array_like) - An object exposing the array interface, which \ stores the row index for each non zero element in ``data``. - col (array_like) - An object exposing the array interface, which \ stores the col index for each non zero element in ``data``. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the ``row`` and ``col`` arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. Parameters ---------- arg1: tuple of int, tuple of array_like, array_like, CSRNDArray, scipy.sparse.csr_matrix, \ scipy.sparse.coo_matrix, tuple of int or tuple of array_like The argument to help instantiate the csr matrix. See above for further details. shape : tuple of int, optional The shape of the csr matrix. ctx: Context, optional Device context (default is the current default context). dtype: str or numpy.dtype, optional The data type of the output array. Returns ------- CSRNDArray A `CSRNDArray` with the `csr` storage representation. Example ------- >>> a = mx.nd.sparse.csr_matrix(([1, 2, 3], [1, 0, 2], [0, 1, 2, 2, 3]), shape=(4, 3)) >>> a.asnumpy() array([[ 0., 1., 0.], [ 2., 0., 0.], [ 0., 0., 0.], [ 0., 0., 3.]], dtype=float32) See Also -------- CSRNDArray : MXNet NDArray in compressed sparse row format.	[ "Creates", "a", "CSRNDArray", "an", "2D", "array", "with", "compressed", "sparse", "row", "(", "CSR", ")", "format", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L825-L976	train	Constructs a CSRNDArray from a sparse 2D array with compressed sparse row format.	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10697) + '\062' + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(959 - 910) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(0b100100 + 0o22) + chr(0b11001 + 0o33), 43607 - 43599), ehT0Px3KOsy9(chr(1054 - 1006) + '\157' + chr(0b110010) + chr(392 - 341) + chr(0b1000 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(50) + chr(0b1000 + 0o52) + chr(1849 - 1798), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(49) + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x34' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\060' + chr(54), 0o10), ehT0Px3KOsy9(chr(534 - 486) + '\157' + '\062' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + '\x31' + chr(54) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + '\x33' + '\x33' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(7693 - 7582) + '\063' + chr(519 - 468) + chr(0b10 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(1984 - 1936) + chr(5183 - 5072) + chr(0b110001) + chr(0b110 + 0o54) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(53) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1367 - 1313) + chr(1049 - 994), 0b1000), ehT0Px3KOsy9(chr(596 - 548) + chr(7394 - 7283) + chr(54) + '\064', 8), ehT0Px3KOsy9(chr(1514 - 1466) + chr(0b1101111) + chr(0b1111 + 0o47), 39879 - 39871), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(399 - 346) + chr(0b0 + 0o65), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + '\062' + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + '\063' + chr(2439 - 2389), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10010 + 0o37) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(202 - 153) + chr(49) + chr(52), 45500 - 45492), ehT0Px3KOsy9(chr(1807 - 1759) + chr(0b1010101 + 0o32) + '\063' + '\x35' + chr(882 - 834), 12632 - 12624), ehT0Px3KOsy9(chr(990 - 942) + chr(0b1101111) + '\x31' + '\x33' + chr(0b100001 + 0o20), 17086 - 17078), ehT0Px3KOsy9(chr(399 - 351) + chr(111) + chr(0b11110 + 0o23) + chr(49) + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(49) + '\063' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o4) + '\x31' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110000) + chr(0b110100), 44251 - 44243), ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6380 - 6269) + chr(0b110001) + '\060' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110 + 0o53) + '\062' + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110010) + chr(1700 - 1647), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b100011 + 0o24) + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\x34' + chr(0b1001 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10000 + 0o41) + chr(919 - 868) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1368 - 1317) + chr(0b11001 + 0o31) + chr(0b100110 + 0o20), 2232 - 2224), ehT0Px3KOsy9(chr(813 - 765) + '\157' + '\x32' + '\x33' + chr(48), 0o10), ehT0Px3KOsy9(chr(1647 - 1599) + '\x6f' + chr(0b110001 + 0o0) + '\066' + chr(918 - 868), 35188 - 35180), ehT0Px3KOsy9(chr(48) + '\157' + '\064' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(126 - 77) + '\063' + chr(55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(1248 - 1195) + chr(0b110000), 39570 - 39562)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + chr(7968 - 7852) + chr(9914 - 9812) + chr(0b10011 + 0o32) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def MEpUIUzoj5Or(FnY8vW1IiyNe, nauYfLglTpcb=None, oM3jLo753XfX=None, jSV9IKnemH7K=None): if PlSM16l2KDPD(FnY8vW1IiyNe, KNyTy8rYcwji): CtFn2vr6BxwH = c2A0yzQpDQB3(FnY8vW1IiyNe) if CtFn2vr6BxwH == ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', ord("\x08")): if PlSM16l2KDPD(FnY8vW1IiyNe[ehT0Px3KOsy9(chr(48) + chr(3591 - 3480) + chr(0b110001), 8)], KNyTy8rYcwji) and c2A0yzQpDQB3(FnY8vW1IiyNe[ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + '\061', 8)]) == ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\062', 8): (ULnjp6D6efFH, (TAK9K32TkBdA, Qa2uSJqQPT3w)) = FnY8vW1IiyNe if PlSM16l2KDPD(ULnjp6D6efFH, GdqFjMbtKL7s): ULnjp6D6efFH = ULnjp6D6efFH.asnumpy() if PlSM16l2KDPD(TAK9K32TkBdA, GdqFjMbtKL7s): TAK9K32TkBdA = TAK9K32TkBdA.asnumpy() if PlSM16l2KDPD(Qa2uSJqQPT3w, GdqFjMbtKL7s): Qa2uSJqQPT3w = Qa2uSJqQPT3w.asnumpy() Q3SyLf4Xbov6 = ja04wlJz6Qus.coo_matrix((ULnjp6D6efFH, (TAK9K32TkBdA, Qa2uSJqQPT3w)), shape=nauYfLglTpcb) mUHVhbokbjkx(xafqLlk3kkUe(Q3SyLf4Xbov6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9+A\xc4\xf5\x1f\x03\xaa@\x03\xb8\xbe'), chr(3325 - 3225) + chr(0b1100101) + chr(99) + chr(111) + '\144' + '\x65')(chr(117) + chr(0b1110100) + chr(5329 - 5227) + chr(0b101101) + chr(0b111000))), nauYfLglTpcb) mn3aa_XdWyYO = Q3SyLf4Xbov6.tocsr() return B0ePDhpqxN5n(mn3aa_XdWyYO, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) else: mUHVhbokbjkx(FnY8vW1IiyNe, nauYfLglTpcb) return QxT4AUiPWdm4(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf49F'), chr(0b100000 + 0o104) + '\x65' + '\143' + chr(111) + '\x64' + chr(0b1100101))('\165' + '\x74' + '\x66' + '\055' + '\x38'), FnY8vW1IiyNe, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) elif CtFn2vr6BxwH == ehT0Px3KOsy9(chr(0b110000) + chr(3424 - 3313) + chr(350 - 299), 0o10): return azLbgBr0ivFJ(FnY8vW1IiyNe[ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 8711 - 8703)], FnY8vW1IiyNe[ehT0Px3KOsy9(chr(2139 - 2091) + '\157' + chr(0b111 + 0o52), 8)], FnY8vW1IiyNe[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32', 8)], shape=nauYfLglTpcb, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) else: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2$Q\xe5\xe36\x07\xb2q\x17\xfb\xb00\x80\xd0@n\r\xdd\|*%\x86)?/\xad\xf0t6=\xf0\x02\x86'), chr(0b1100100) + chr(101) + chr(7028 - 6929) + chr(0b11000 + 0o127) + chr(100) + chr(0b10011 + 0o122))(chr(0b1110101) + chr(0b1001001 + 0o53) + chr(0b1100110) + chr(774 - 729) + chr(0b111000)) + M8_cKLkHVB2V(CtFn2vr6BxwH)) elif PlSM16l2KDPD(FnY8vW1IiyNe, umAF0v6l3LUP) or (ja04wlJz6Qus and PlSM16l2KDPD(FnY8vW1IiyNe, xafqLlk3kkUe(ja04wlJz6Qus.csr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf49F\xc2\xfe2\x10\xb4}\x0b'), chr(0b1100100) + chr(0b1100101) + chr(0b100 + 0o137) + chr(0b1101111) + chr(100) + chr(1266 - 1165))(chr(0b1010000 + 0o45) + '\x74' + '\146' + chr(0b1110 + 0o37) + chr(0b100100 + 0o24))))): mUHVhbokbjkx(xafqLlk3kkUe(FnY8vW1IiyNe, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9+A\xc4\xf5\x1f\x03\xaa@\x03\xb8\xbe'), chr(8339 - 8239) + chr(101) + '\143' + '\157' + chr(0b1000001 + 0o43) + chr(0b100010 + 0o103))(chr(433 - 316) + '\164' + chr(102) + chr(45) + chr(628 - 572))), nauYfLglTpcb) return B0ePDhpqxN5n(FnY8vW1IiyNe, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) elif PlSM16l2KDPD(FnY8vW1IiyNe, RwEGWXdf9TZ4): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2$Q\xe5\xe36\x07\xb2q\x17\xfb\xb5;\x9e\xc2@&Y\xcbjov\xc8\x0b%,\xde\xf4`4"\xf0v\xe2\x19\xa4\xea\x13X'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(100) + '\145')(chr(0b101101 + 0o110) + chr(0b111100 + 0o70) + chr(0b110110 + 0o60) + '\x2d' + '\x38')) else: jSV9IKnemH7K = kPPYRHvTFvTj(FnY8vW1IiyNe, jSV9IKnemH7K) zIf4i4DukV8Y = BSyXVeDsQPu3(FnY8vW1IiyNe, dtype=jSV9IKnemH7K) if oM3jLo753XfX is not None and xafqLlk3kkUe(zIf4i4DukV8Y, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4%Z\xe9\xf6+\x10'), chr(0b1100100) + '\145' + chr(1063 - 964) + chr(111) + chr(0b1100100) + chr(0b11101 + 0o110))(chr(0b10001 + 0o144) + '\x74' + chr(0b110 + 0o140) + chr(157 - 112) + '\x38')) != oM3jLo753XfX: zIf4i4DukV8Y = zIf4i4DukV8Y.as_in_context(oM3jLo753XfX) mUHVhbokbjkx(xafqLlk3kkUe(zIf4i4DukV8Y, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9+A\xc4\xf5\x1f\x03\xaa@\x03\xb8\xbe'), '\x64' + chr(8351 - 8250) + chr(7198 - 7099) + '\157' + chr(5995 - 5895) + chr(0b1010100 + 0o21))(chr(0b1011111 + 0o26) + chr(0b100010 + 0o122) + chr(0b1100110) + '\x2d' + '\x38')), nauYfLglTpcb) return xafqLlk3kkUe(zIf4i4DukV8Y, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3%G\xe9\xea#\x01'), chr(100) + '\145' + chr(378 - 279) + '\157' + chr(0b1110 + 0o126) + '\x65')(chr(0b111101 + 0o70) + chr(0b1110100) + '\146' + chr(0b1010 + 0o43) + chr(0b110010 + 0o6)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf49F'), chr(0b11001 + 0o113) + '\145' + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + '\164' + '\146' + '\x2d' + chr(0b100000 + 0o30)))
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	_csr_matrix_from_definition	def _csr_matrix_from_definition(data, indices, indptr, shape=None, ctx=None, dtype=None, indices_type=None, indptr_type=None): """Create a `CSRNDArray` based on data, indices and indptr""" # pylint: disable= no-member, protected-access storage_type = 'csr' # context ctx = current_context() if ctx is None else ctx # types dtype = _prepare_default_dtype(data, dtype) indptr_type = _STORAGE_AUX_TYPES[storage_type][0] if indptr_type is None else indptr_type indices_type = _STORAGE_AUX_TYPES[storage_type][1] if indices_type is None else indices_type # prepare src array and types data = _prepare_src_array(data, dtype) indptr = _prepare_src_array(indptr, indptr_type) indices = _prepare_src_array(indices, indices_type) # TODO(junwu): Convert data, indptr, and indices to mxnet NDArrays # if they are not for now. In the future, we should provide a c-api # to accept np.ndarray types to copy from to result.data and aux_data if not isinstance(data, NDArray): data = _array(data, ctx, dtype) if not isinstance(indptr, NDArray): indptr = _array(indptr, ctx, indptr_type) if not isinstance(indices, NDArray): indices = _array(indices, ctx, indices_type) if shape is None: if indices.shape[0] == 0: raise ValueError('invalid shape') shape = (len(indptr) - 1, op.max(indices).asscalar() + 1) # verify shapes aux_shapes = [indptr.shape, indices.shape] if data.ndim != 1 or indptr.ndim != 1 or indices.ndim != 1 or \ indptr.shape[0] == 0 or len(shape) != 2: raise ValueError('invalid shape') result = CSRNDArray(_new_alloc_handle(storage_type, shape, ctx, False, dtype, [indptr_type, indices_type], aux_shapes)) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, data.handle, ctypes.c_int(-1))) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, indptr.handle, ctypes.c_int(0))) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, indices.handle, ctypes.c_int(1))) return result	python	def _csr_matrix_from_definition(data, indices, indptr, shape=None, ctx=None, dtype=None, indices_type=None, indptr_type=None): """Create a `CSRNDArray` based on data, indices and indptr""" # pylint: disable= no-member, protected-access storage_type = 'csr' # context ctx = current_context() if ctx is None else ctx # types dtype = _prepare_default_dtype(data, dtype) indptr_type = _STORAGE_AUX_TYPES[storage_type][0] if indptr_type is None else indptr_type indices_type = _STORAGE_AUX_TYPES[storage_type][1] if indices_type is None else indices_type # prepare src array and types data = _prepare_src_array(data, dtype) indptr = _prepare_src_array(indptr, indptr_type) indices = _prepare_src_array(indices, indices_type) # TODO(junwu): Convert data, indptr, and indices to mxnet NDArrays # if they are not for now. In the future, we should provide a c-api # to accept np.ndarray types to copy from to result.data and aux_data if not isinstance(data, NDArray): data = _array(data, ctx, dtype) if not isinstance(indptr, NDArray): indptr = _array(indptr, ctx, indptr_type) if not isinstance(indices, NDArray): indices = _array(indices, ctx, indices_type) if shape is None: if indices.shape[0] == 0: raise ValueError('invalid shape') shape = (len(indptr) - 1, op.max(indices).asscalar() + 1) # verify shapes aux_shapes = [indptr.shape, indices.shape] if data.ndim != 1 or indptr.ndim != 1 or indices.ndim != 1 or \ indptr.shape[0] == 0 or len(shape) != 2: raise ValueError('invalid shape') result = CSRNDArray(_new_alloc_handle(storage_type, shape, ctx, False, dtype, [indptr_type, indices_type], aux_shapes)) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, data.handle, ctypes.c_int(-1))) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, indptr.handle, ctypes.c_int(0))) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, indices.handle, ctypes.c_int(1))) return result	[ "def", "_csr_matrix_from_definition", "(", "data", ",", "indices", ",", "indptr", ",", "shape", "=", "None", ",", "ctx", "=", "None", ",", "dtype", "=", "None", ",", "indices_type", "=", "None", ",", "indptr_type", "=", "None", ")", ":", "# pylint: disable= no-member, protected-access", "storage_type", "=", "'csr'", "# context", "ctx", "=", "current_context", "(", ")", "if", "ctx", "is", "None", "else", "ctx", "# types", "dtype", "=", "_prepare_default_dtype", "(", "data", ",", "dtype", ")", "indptr_type", "=", "_STORAGE_AUX_TYPES", "[", "storage_type", "]", "[", "0", "]", "if", "indptr_type", "is", "None", "else", "indptr_type", "indices_type", "=", "_STORAGE_AUX_TYPES", "[", "storage_type", "]", "[", "1", "]", "if", "indices_type", "is", "None", "else", "indices_type", "# prepare src array and types", "data", "=", "_prepare_src_array", "(", "data", ",", "dtype", ")", "indptr", "=", "_prepare_src_array", "(", "indptr", ",", "indptr_type", ")", "indices", "=", "_prepare_src_array", "(", "indices", ",", "indices_type", ")", "# TODO(junwu): Convert data, indptr, and indices to mxnet NDArrays", "# if they are not for now. In the future, we should provide a c-api", "# to accept np.ndarray types to copy from to result.data and aux_data", "if", "not", "isinstance", "(", "data", ",", "NDArray", ")", ":", "data", "=", "_array", "(", "data", ",", "ctx", ",", "dtype", ")", "if", "not", "isinstance", "(", "indptr", ",", "NDArray", ")", ":", "indptr", "=", "_array", "(", "indptr", ",", "ctx", ",", "indptr_type", ")", "if", "not", "isinstance", "(", "indices", ",", "NDArray", ")", ":", "indices", "=", "_array", "(", "indices", ",", "ctx", ",", "indices_type", ")", "if", "shape", "is", "None", ":", "if", "indices", ".", "shape", "[", "0", "]", "==", "0", ":", "raise", "ValueError", "(", "'invalid shape'", ")", "shape", "=", "(", "len", "(", "indptr", ")", "-", "1", ",", "op", ".", "max", "(", "indices", ")", ".", "asscalar", "(", ")", "+", "1", ")", "# verify shapes", "aux_shapes", "=", "[", "indptr", ".", "shape", ",", "indices", ".", "shape", "]", "if", "data", ".", "ndim", "!=", "1", "or", "indptr", ".", "ndim", "!=", "1", "or", "indices", ".", "ndim", "!=", "1", "or", "indptr", ".", "shape", "[", "0", "]", "==", "0", "or", "len", "(", "shape", ")", "!=", "2", ":", "raise", "ValueError", "(", "'invalid shape'", ")", "result", "=", "CSRNDArray", "(", "_new_alloc_handle", "(", "storage_type", ",", "shape", ",", "ctx", ",", "False", ",", "dtype", ",", "[", "indptr_type", ",", "indices_type", "]", ",", "aux_shapes", ")", ")", "check_call", "(", "_LIB", ".", "MXNDArraySyncCopyFromNDArray", "(", "result", ".", "handle", ",", "data", ".", "handle", ",", "ctypes", ".", "c_int", "(", "-", "1", ")", ")", ")", "check_call", "(", "_LIB", ".", "MXNDArraySyncCopyFromNDArray", "(", "result", ".", "handle", ",", "indptr", ".", "handle", ",", "ctypes", ".", "c_int", "(", "0", ")", ")", ")", "check_call", "(", "_LIB", ".", "MXNDArraySyncCopyFromNDArray", "(", "result", ".", "handle", ",", "indices", ".", "handle", ",", "ctypes", ".", "c_int", "(", "1", ")", ")", ")", "return", "result" ]	Create a `CSRNDArray` based on data, indices and indptr	[ "Create", "a", "CSRNDArray", "based", "on", "data", "indices", "and", "indptr" ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L978-L1017	train	Create a CSRNDArray based on data indices and indptr.	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(0b1010111 + 0o30) + chr(0b110001) + chr(0b110010), 31749 - 31741), ehT0Px3KOsy9('\060' + chr(2956 - 2845) + chr(55) + chr(805 - 755), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(554 - 503) + chr(2527 - 2472) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1397 - 1349) + chr(111) + chr(50) + chr(846 - 798) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b11010 + 0o31) + chr(0b101 + 0o55), 0o10), ehT0Px3KOsy9(chr(48) + chr(8733 - 8622) + chr(0b110100) + '\x36', 13040 - 13032), ehT0Px3KOsy9('\060' + chr(8422 - 8311) + chr(0b1100 + 0o46) + '\x34' + chr(413 - 365), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110000) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\x33' + chr(0b11000 + 0o30) + chr(54), 51617 - 51609), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(10263 - 10152) + chr(53) + chr(48), 42190 - 42182), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1377 - 1324), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(2155 - 2106) + '\x30', 0o10), ehT0Px3KOsy9(chr(1053 - 1005) + chr(0b1101111) + chr(0b110100) + chr(69 - 17), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6582 - 6471) + chr(0b110010) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(2172 - 2123) + '\065' + '\065', 52459 - 52451), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x32' + chr(0b110110), 47132 - 47124), ehT0Px3KOsy9('\060' + chr(2510 - 2399) + chr(50) + chr(0b110101) + chr(0b1011 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(1851 - 1797) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(876 - 827) + chr(0b100111 + 0o13) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110010) + chr(0b11111 + 0o24), 57633 - 57625), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + chr(0b110001) + chr(2345 - 2296) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(1943 - 1890) + '\066', 6688 - 6680), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x32' + chr(0b10001 + 0o46) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\061' + chr(51) + chr(0b1111 + 0o43), 8), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(1368 - 1317) + chr(49) + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\063' + '\x37' + chr(54), 8), ehT0Px3KOsy9(chr(1014 - 966) + '\x6f' + chr(0b10110 + 0o35) + chr(2132 - 2079) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(0b11110 + 0o24) + chr(1750 - 1702), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b101110 + 0o6) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + chr(49) + chr(0b110101) + chr(53), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x31' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(0b100110 + 0o14) + chr(52) + chr(394 - 340), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b10111 + 0o130) + chr(50) + '\x31' + chr(0b0 + 0o63), 6107 - 6099), ehT0Px3KOsy9('\x30' + chr(111) + chr(1549 - 1498) + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + chr(0b101001 + 0o12) + chr(50) + chr(603 - 553), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(50) + '\065' + chr(0b11100 + 0o25), 11998 - 11990), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(52) + chr(2299 - 2251), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4357 - 4246) + '\067' + '\x37', 27928 - 27920), ehT0Px3KOsy9(chr(2052 - 2004) + '\157' + '\061' + chr(0b110000) + '\063', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b100111 + 0o13) + chr(0b100000 + 0o24) + '\x34', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'$'), chr(0b1100100) + chr(101) + chr(5071 - 4972) + chr(0b111100 + 0o63) + chr(0b1100100) + '\145')(chr(117) + chr(0b100110 + 0o116) + '\146' + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def azLbgBr0ivFJ(ULnjp6D6efFH, pIcoaXENl5Pw, zzopX3ZKAk_R, nauYfLglTpcb=None, oM3jLo753XfX=None, jSV9IKnemH7K=None, pd9t9ppYXwOK=None, y5AUFjhrUqWA=None): bgYGSsW4qQl5 = xafqLlk3kkUe(SXOLrMavuUCe(b'iI\x8c'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1101010 + 0o12) + chr(102) + chr(0b10111 + 0o26) + chr(182 - 126)) oM3jLo753XfX = XCj8K5DCp8y0() if oM3jLo753XfX is None else oM3jLo753XfX jSV9IKnemH7K = kPPYRHvTFvTj(ULnjp6D6efFH, jSV9IKnemH7K) y5AUFjhrUqWA = KxWSNwF4Okjt[bgYGSsW4qQl5][ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + '\060', 0b1000)] if y5AUFjhrUqWA is None else y5AUFjhrUqWA pd9t9ppYXwOK = KxWSNwF4Okjt[bgYGSsW4qQl5][ehT0Px3KOsy9('\060' + chr(111) + chr(147 - 98), 0b1000)] if pd9t9ppYXwOK is None else pd9t9ppYXwOK ULnjp6D6efFH = TRMQLcYDQYSc(ULnjp6D6efFH, jSV9IKnemH7K) zzopX3ZKAk_R = TRMQLcYDQYSc(zzopX3ZKAk_R, y5AUFjhrUqWA) pIcoaXENl5Pw = TRMQLcYDQYSc(pIcoaXENl5Pw, pd9t9ppYXwOK) if not PlSM16l2KDPD(ULnjp6D6efFH, GdqFjMbtKL7s): ULnjp6D6efFH = BSyXVeDsQPu3(ULnjp6D6efFH, oM3jLo753XfX, jSV9IKnemH7K) if not PlSM16l2KDPD(zzopX3ZKAk_R, GdqFjMbtKL7s): zzopX3ZKAk_R = BSyXVeDsQPu3(zzopX3ZKAk_R, oM3jLo753XfX, y5AUFjhrUqWA) if not PlSM16l2KDPD(pIcoaXENl5Pw, GdqFjMbtKL7s): pIcoaXENl5Pw = BSyXVeDsQPu3(pIcoaXENl5Pw, oM3jLo753XfX, pd9t9ppYXwOK) if nauYfLglTpcb is None: if xafqLlk3kkUe(pIcoaXENl5Pw, xafqLlk3kkUe(SXOLrMavuUCe(b'd[\x8b\xdc<j\xc7.\x92Xf\xea'), chr(0b110100 + 0o60) + chr(0b1000000 + 0o45) + chr(99) + '\x6f' + '\144' + chr(0b1000111 + 0o36))(chr(117) + chr(116) + '\146' + chr(147 - 102) + '\070'))[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(926 - 878), 8)] == ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(2250 - 2202), 8): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'cT\x88\xe46O\xc4b\xb5@d\xf8A'), chr(0b1010 + 0o132) + chr(0b1100101) + chr(6124 - 6025) + chr(792 - 681) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1000111 + 0o55) + chr(0b101011 + 0o73) + '\x2d' + '\070')) nauYfLglTpcb = (c2A0yzQpDQB3(zzopX3ZKAk_R) - ehT0Px3KOsy9(chr(2005 - 1957) + '\x6f' + '\x31', 8), C8dAr6Ujq2Tn.max(pIcoaXENl5Pw).asscalar() + ehT0Px3KOsy9(chr(539 - 491) + chr(0b110011 + 0o74) + chr(1199 - 1150), 8)) Jc3yDgbCJFms = [zzopX3ZKAk_R.nauYfLglTpcb, pIcoaXENl5Pw.nauYfLglTpcb] if xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'mU\x93\xf5\x12d\xc9\x16\xb5NO\xdc'), chr(6656 - 6556) + chr(0b1100101) + chr(99) + chr(111) + '\144' + chr(9810 - 9709))('\165' + chr(10138 - 10022) + '\146' + chr(45) + chr(0b111000))) != ehT0Px3KOsy9(chr(0b110000) + chr(6570 - 6459) + chr(0b110001), 8) or xafqLlk3kkUe(zzopX3ZKAk_R, xafqLlk3kkUe(SXOLrMavuUCe(b'mU\x93\xf5\x12d\xc9\x16\xb5NO\xdc'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(0b1011011 + 0o11) + chr(101))(chr(0b1011000 + 0o35) + '\x74' + '\x66' + chr(0b101011 + 0o2) + chr(0b111000))) != ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\061', 8) or xafqLlk3kkUe(pIcoaXENl5Pw, xafqLlk3kkUe(SXOLrMavuUCe(b'mU\x93\xf5\x12d\xc9\x16\xb5NO\xdc'), chr(2877 - 2777) + chr(0b11 + 0o142) + '\143' + chr(0b100010 + 0o115) + '\x64' + chr(4940 - 4839))(chr(0b1110101) + '\x74' + chr(0b1000111 + 0o37) + '\x2d' + chr(1294 - 1238))) != ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(10909 - 10798) + chr(696 - 647), 8) or (xafqLlk3kkUe(zzopX3ZKAk_R, xafqLlk3kkUe(SXOLrMavuUCe(b'd[\x8b\xdc<j\xc7.\x92Xf\xea'), chr(100) + chr(101) + chr(0b1100011) + chr(0b101110 + 0o101) + chr(100) + chr(0b1011001 + 0o14))(chr(0b1001011 + 0o52) + chr(378 - 262) + chr(0b1100110) + chr(1513 - 1468) + '\x38'))[ehT0Px3KOsy9(chr(817 - 769) + chr(0b1101111) + '\060', 8)] == ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(1612 - 1564), 8)) or (c2A0yzQpDQB3(nauYfLglTpcb) != ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', 0b1000)): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'cT\x88\xe46O\xc4b\xb5@d\xf8A'), '\x64' + '\x65' + chr(6419 - 6320) + chr(111) + chr(2854 - 2754) + chr(101))('\x75' + chr(116) + '\x66' + chr(45) + chr(56))) ShZmEKfTkAOZ = umAF0v6l3LUP(dH4mZSHhFjwi(bgYGSsW4qQl5, nauYfLglTpcb, oM3jLo753XfX, ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b11001 + 0o27), 8), jSV9IKnemH7K, [y5AUFjhrUqWA, pd9t9ppYXwOK], Jc3yDgbCJFms)) VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'Gb\xb0\xc1\x1bT\xd2#\xbf{\|\xe6G\xde\x02\xa6\xd21#\xfc#\xa0\xfb\x1b\xb9\x8c\x8ai'), chr(0b1011101 + 0o7) + chr(101) + chr(0b1000010 + 0o41) + chr(0b100000 + 0o117) + chr(0b11101 + 0o107) + chr(5740 - 5639))('\x75' + '\x74' + '\x66' + '\055' + '\070'))(xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'YB\xaa\xf0\x17W\xe6\x18\xa2R_\xf0'), chr(100) + '\145' + chr(99) + chr(0b1100001 + 0o16) + '\x64' + '\145')('\x75' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b110011 + 0o5))), xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'YB\xaa\xf0\x17W\xe6\x18\xa2R_\xf0'), chr(0b1100100) + chr(0b1100101) + chr(0b100010 + 0o101) + chr(0b110100 + 0o73) + '\x64' + chr(5830 - 5729))('\x75' + '\164' + '\x66' + chr(1189 - 1144) + chr(0b111000))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'ie\x97\xeb.'), chr(3798 - 3698) + chr(0b1100101) + chr(99) + chr(3464 - 3353) + chr(0b1100100) + chr(0b101001 + 0o74))('\165' + chr(2319 - 2203) + '\x66' + chr(0b101101) + chr(1811 - 1755)))(-ehT0Px3KOsy9(chr(303 - 255) + '\x6f' + '\x31', 8)))) VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'Gb\xb0\xc1\x1bT\xd2#\xbf{\|\xe6G\xde\x02\xa6\xd21#\xfc#\xa0\xfb\x1b\xb9\x8c\x8ai'), chr(0b100 + 0o140) + chr(0b1011001 + 0o14) + chr(99) + chr(111) + '\x64' + chr(0b11010 + 0o113))(chr(0b110011 + 0o102) + chr(6329 - 6213) + chr(7346 - 7244) + '\x2d' + chr(56)))(xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'YB\xaa\xf0\x17W\xe6\x18\xa2R_\xf0'), '\144' + '\145' + '\143' + chr(0b1101111) + '\144' + chr(0b1001110 + 0o27))('\165' + chr(0b1110100) + chr(102) + '\x2d' + chr(56))), xafqLlk3kkUe(zzopX3ZKAk_R, xafqLlk3kkUe(SXOLrMavuUCe(b'YB\xaa\xf0\x17W\xe6\x18\xa2R_\xf0'), '\x64' + chr(0b1001111 + 0o26) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + chr(0b1 + 0o54) + chr(0b111000))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'ie\x97\xeb.'), chr(0b1100100 + 0o0) + chr(0b10 + 0o143) + '\x63' + chr(111) + chr(8956 - 8856) + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + '\070'))(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101000 + 0o10), 8)))) VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'Gb\xb0\xc1\x1bT\xd2#\xbf{\|\xe6G\xde\x02\xa6\xd21#\xfc#\xa0\xfb\x1b\xb9\x8c\x8ai'), '\144' + chr(0b11001 + 0o114) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(5611 - 5510))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(1692 - 1647) + chr(0b111000)))(xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'YB\xaa\xf0\x17W\xe6\x18\xa2R_\xf0'), '\x64' + chr(101) + chr(99) + chr(0b1000010 + 0o55) + chr(0b110000 + 0o64) + chr(0b1010000 + 0o25))(chr(0b10100 + 0o141) + chr(0b1001010 + 0o52) + chr(102) + chr(0b101101) + '\070')), xafqLlk3kkUe(pIcoaXENl5Pw, xafqLlk3kkUe(SXOLrMavuUCe(b'YB\xaa\xf0\x17W\xe6\x18\xa2R_\xf0'), chr(0b1100100) + chr(8299 - 8198) + chr(3986 - 3887) + chr(8518 - 8407) + '\144' + chr(101))(chr(0b1110101) + chr(5163 - 5047) + '\x66' + chr(878 - 833) + chr(1340 - 1284))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'ie\x97\xeb.'), chr(0b1010100 + 0o20) + chr(101) + '\143' + chr(111) + chr(0b1001111 + 0o25) + chr(5620 - 5519))(chr(0b1110101) + chr(0b1010111 + 0o35) + '\146' + chr(117 - 72) + '\x38'))(ehT0Px3KOsy9(chr(48) + chr(1542 - 1431) + '\x31', 8)))) return ShZmEKfTkAOZ
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	row_sparse_array	def row_sparse_array(arg1, shape=None, ctx=None, dtype=None): """Creates a `RowSparseNDArray`, a multidimensional row sparse array with a set of \ tensor slices at given indices. The RowSparseNDArray can be instantiated in several ways: - row_sparse_array(D): to construct a RowSparseNDArray with a dense ndarray ``D`` - D (array_like) - An object exposing the array interface, an object whose \ `__array__` method returns an array, or any (nested) sequence. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``D.dtype`` if ``D`` is an NDArray or numpy.ndarray, \ float32 otherwise. - row_sparse_array(S) to construct a RowSparseNDArray with a sparse ndarray ``S`` - S (RowSparseNDArray) - A sparse ndarray. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``S.dtype``. - row_sparse_array((D0, D1 .. Dn)) to construct an empty RowSparseNDArray with shape ``(D0, D1, ... Dn)`` - D0, D1 .. Dn (int) - The shape of the ndarray - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. - row_sparse_array((data, indices)) to construct a RowSparseNDArray based on the definition of row sparse format \ using two separate arrays, \ where the `indices` stores the indices of the row slices with non-zeros, while the values are stored in `data`. The corresponding NDArray ``dense`` represented by RowSparseNDArray ``rsp`` has \ ``dense[rsp.indices[i], :, :, :, ...] = rsp.data[i, :, :, :, ...]`` The row indices for are expected to be sorted in ascending order. \ - data (array_like) - An object exposing the array interface, which \ holds all the non-zero row slices of the array. - indices (array_like) - An object exposing the array interface, which \ stores the row index for each row slice with non-zero elements. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the indices and indptr arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. Parameters ---------- arg1 : NDArray, numpy.ndarray, RowSparseNDArray, tuple of int or tuple of array_like The argument to help instantiate the row sparse ndarray. See above for further details. shape : tuple of int, optional The shape of the row sparse ndarray. (Default value = None) ctx : Context, optional Device context (default is the current default context). dtype : str or numpy.dtype, optional The data type of the output array. (Default value = None) Returns ------- RowSparseNDArray An `RowSparseNDArray` with the `row_sparse` storage representation. Examples -------- >>> a = mx.nd.sparse.row_sparse_array(([[1, 2], [3, 4]], [1, 4]), shape=(6, 2)) >>> a.asnumpy() array([[ 0., 0.], [ 1., 2.], [ 0., 0.], [ 0., 0.], [ 3., 4.], [ 0., 0.]], dtype=float32) See Also -------- RowSparseNDArray : MXNet NDArray in row sparse format. """ # construct a row sparse array from (D0, D1 ..) or (data, indices) if isinstance(arg1, tuple): arg_len = len(arg1) if arg_len < 2: raise ValueError("Unexpected length of input tuple: " + str(arg_len)) elif arg_len > 2: # empty ndarray with shape _check_shape(arg1, shape) return empty('row_sparse', arg1, ctx=ctx, dtype=dtype) else: # len(arg1) = 2, is either shape or (data, indices) if isinstance(arg1[0], integer_types) and isinstance(arg1[1], integer_types): # empty ndarray with shape _check_shape(arg1, shape) return empty('row_sparse', arg1, ctx=ctx, dtype=dtype) else: # data, indices, indptr return _row_sparse_ndarray_from_definition(arg1[0], arg1[1], shape=shape, ctx=ctx, dtype=dtype) else: # construct a row sparse ndarray from a dense / sparse array if isinstance(arg1, RowSparseNDArray): # construct a row sparse ndarray from RowSparseNDArray _check_shape(arg1.shape, shape) return array(arg1, ctx=ctx, dtype=dtype) elif isinstance(arg1, CSRNDArray): raise ValueError("Unexpected input type: CSRNDArray") else: # construct a csr matrix from a dense one # prepare default dtype since mx.nd.array doesn't use default values # based on source_array dtype = _prepare_default_dtype(arg1, dtype) # create dns array with provided dtype. ctx is not passed since copy across # ctx requires dtype to be the same dns = _array(arg1, dtype=dtype) if ctx is not None and dns.context != ctx: dns = dns.as_in_context(ctx) _check_shape(dns.shape, shape) return dns.tostype('row_sparse')	python	def row_sparse_array(arg1, shape=None, ctx=None, dtype=None): """Creates a `RowSparseNDArray`, a multidimensional row sparse array with a set of \ tensor slices at given indices. The RowSparseNDArray can be instantiated in several ways: - row_sparse_array(D): to construct a RowSparseNDArray with a dense ndarray ``D`` - D (array_like) - An object exposing the array interface, an object whose \ `__array__` method returns an array, or any (nested) sequence. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``D.dtype`` if ``D`` is an NDArray or numpy.ndarray, \ float32 otherwise. - row_sparse_array(S) to construct a RowSparseNDArray with a sparse ndarray ``S`` - S (RowSparseNDArray) - A sparse ndarray. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``S.dtype``. - row_sparse_array((D0, D1 .. Dn)) to construct an empty RowSparseNDArray with shape ``(D0, D1, ... Dn)`` - D0, D1 .. Dn (int) - The shape of the ndarray - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. - row_sparse_array((data, indices)) to construct a RowSparseNDArray based on the definition of row sparse format \ using two separate arrays, \ where the `indices` stores the indices of the row slices with non-zeros, while the values are stored in `data`. The corresponding NDArray ``dense`` represented by RowSparseNDArray ``rsp`` has \ ``dense[rsp.indices[i], :, :, :, ...] = rsp.data[i, :, :, :, ...]`` The row indices for are expected to be sorted in ascending order. \ - data (array_like) - An object exposing the array interface, which \ holds all the non-zero row slices of the array. - indices (array_like) - An object exposing the array interface, which \ stores the row index for each row slice with non-zero elements. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the indices and indptr arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. Parameters ---------- arg1 : NDArray, numpy.ndarray, RowSparseNDArray, tuple of int or tuple of array_like The argument to help instantiate the row sparse ndarray. See above for further details. shape : tuple of int, optional The shape of the row sparse ndarray. (Default value = None) ctx : Context, optional Device context (default is the current default context). dtype : str or numpy.dtype, optional The data type of the output array. (Default value = None) Returns ------- RowSparseNDArray An `RowSparseNDArray` with the `row_sparse` storage representation. Examples -------- >>> a = mx.nd.sparse.row_sparse_array(([[1, 2], [3, 4]], [1, 4]), shape=(6, 2)) >>> a.asnumpy() array([[ 0., 0.], [ 1., 2.], [ 0., 0.], [ 0., 0.], [ 3., 4.], [ 0., 0.]], dtype=float32) See Also -------- RowSparseNDArray : MXNet NDArray in row sparse format. """ # construct a row sparse array from (D0, D1 ..) or (data, indices) if isinstance(arg1, tuple): arg_len = len(arg1) if arg_len < 2: raise ValueError("Unexpected length of input tuple: " + str(arg_len)) elif arg_len > 2: # empty ndarray with shape _check_shape(arg1, shape) return empty('row_sparse', arg1, ctx=ctx, dtype=dtype) else: # len(arg1) = 2, is either shape or (data, indices) if isinstance(arg1[0], integer_types) and isinstance(arg1[1], integer_types): # empty ndarray with shape _check_shape(arg1, shape) return empty('row_sparse', arg1, ctx=ctx, dtype=dtype) else: # data, indices, indptr return _row_sparse_ndarray_from_definition(arg1[0], arg1[1], shape=shape, ctx=ctx, dtype=dtype) else: # construct a row sparse ndarray from a dense / sparse array if isinstance(arg1, RowSparseNDArray): # construct a row sparse ndarray from RowSparseNDArray _check_shape(arg1.shape, shape) return array(arg1, ctx=ctx, dtype=dtype) elif isinstance(arg1, CSRNDArray): raise ValueError("Unexpected input type: CSRNDArray") else: # construct a csr matrix from a dense one # prepare default dtype since mx.nd.array doesn't use default values # based on source_array dtype = _prepare_default_dtype(arg1, dtype) # create dns array with provided dtype. ctx is not passed since copy across # ctx requires dtype to be the same dns = _array(arg1, dtype=dtype) if ctx is not None and dns.context != ctx: dns = dns.as_in_context(ctx) _check_shape(dns.shape, shape) return dns.tostype('row_sparse')	[ "def", "row_sparse_array", "(", "arg1", ",", "shape", "=", "None", ",", "ctx", "=", "None", ",", "dtype", "=", "None", ")", ":", "# construct a row sparse array from (D0, D1 ..) or (data, indices)", "if", "isinstance", "(", "arg1", ",", "tuple", ")", ":", "arg_len", "=", "len", "(", "arg1", ")", "if", "arg_len", "<", "2", ":", "raise", "ValueError", "(", "\"Unexpected length of input tuple: \"", "+", "str", "(", "arg_len", ")", ")", "elif", "arg_len", ">", "2", ":", "# empty ndarray with shape", "_check_shape", "(", "arg1", ",", "shape", ")", "return", "empty", "(", "'row_sparse'", ",", "arg1", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "else", ":", "# len(arg1) = 2, is either shape or (data, indices)", "if", "isinstance", "(", "arg1", "[", "0", "]", ",", "integer_types", ")", "and", "isinstance", "(", "arg1", "[", "1", "]", ",", "integer_types", ")", ":", "# empty ndarray with shape", "_check_shape", "(", "arg1", ",", "shape", ")", "return", "empty", "(", "'row_sparse'", ",", "arg1", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "else", ":", "# data, indices, indptr", "return", "_row_sparse_ndarray_from_definition", "(", "arg1", "[", "0", "]", ",", "arg1", "[", "1", "]", ",", "shape", "=", "shape", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "else", ":", "# construct a row sparse ndarray from a dense / sparse array", "if", "isinstance", "(", "arg1", ",", "RowSparseNDArray", ")", ":", "# construct a row sparse ndarray from RowSparseNDArray", "_check_shape", "(", "arg1", ".", "shape", ",", "shape", ")", "return", "array", "(", "arg1", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "elif", "isinstance", "(", "arg1", ",", "CSRNDArray", ")", ":", "raise", "ValueError", "(", "\"Unexpected input type: CSRNDArray\"", ")", "else", ":", "# construct a csr matrix from a dense one", "# prepare default dtype since mx.nd.array doesn't use default values", "# based on source_array", "dtype", "=", "_prepare_default_dtype", "(", "arg1", ",", "dtype", ")", "# create dns array with provided dtype. ctx is not passed since copy across", "# ctx requires dtype to be the same", "dns", "=", "_array", "(", "arg1", ",", "dtype", "=", "dtype", ")", "if", "ctx", "is", "not", "None", "and", "dns", ".", "context", "!=", "ctx", ":", "dns", "=", "dns", ".", "as_in_context", "(", "ctx", ")", "_check_shape", "(", "dns", ".", "shape", ",", "shape", ")", "return", "dns", ".", "tostype", "(", "'row_sparse'", ")" ]	Creates a `RowSparseNDArray`, a multidimensional row sparse array with a set of \ tensor slices at given indices. The RowSparseNDArray can be instantiated in several ways: - row_sparse_array(D): to construct a RowSparseNDArray with a dense ndarray ``D`` - D (array_like) - An object exposing the array interface, an object whose \ `__array__` method returns an array, or any (nested) sequence. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``D.dtype`` if ``D`` is an NDArray or numpy.ndarray, \ float32 otherwise. - row_sparse_array(S) to construct a RowSparseNDArray with a sparse ndarray ``S`` - S (RowSparseNDArray) - A sparse ndarray. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is ``S.dtype``. - row_sparse_array((D0, D1 .. Dn)) to construct an empty RowSparseNDArray with shape ``(D0, D1, ... Dn)`` - D0, D1 .. Dn (int) - The shape of the ndarray - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. - row_sparse_array((data, indices)) to construct a RowSparseNDArray based on the definition of row sparse format \ using two separate arrays, \ where the `indices` stores the indices of the row slices with non-zeros, while the values are stored in `data`. The corresponding NDArray ``dense`` represented by RowSparseNDArray ``rsp`` has \ ``dense[rsp.indices[i], :, :, :, ...] = rsp.data[i, :, :, :, ...]`` The row indices for are expected to be sorted in ascending order. \ - data (array_like) - An object exposing the array interface, which \ holds all the non-zero row slices of the array. - indices (array_like) - An object exposing the array interface, which \ stores the row index for each row slice with non-zero elements. - shape (tuple of int, optional) - The shape of the array. The default \ shape is inferred from the indices and indptr arrays. - ctx (Context, optional) - Device context \ (default is the current default context). - dtype (str or numpy.dtype, optional) - The data type of the output array. \ The default dtype is float32. Parameters ---------- arg1 : NDArray, numpy.ndarray, RowSparseNDArray, tuple of int or tuple of array_like The argument to help instantiate the row sparse ndarray. See above for further details. shape : tuple of int, optional The shape of the row sparse ndarray. (Default value = None) ctx : Context, optional Device context (default is the current default context). dtype : str or numpy.dtype, optional The data type of the output array. (Default value = None) Returns ------- RowSparseNDArray An `RowSparseNDArray` with the `row_sparse` storage representation. Examples -------- >>> a = mx.nd.sparse.row_sparse_array(([[1, 2], [3, 4]], [1, 4]), shape=(6, 2)) >>> a.asnumpy() array([[ 0., 0.], [ 1., 2.], [ 0., 0.], [ 0., 0.], [ 3., 4.], [ 0., 0.]], dtype=float32) See Also -------- RowSparseNDArray : MXNet NDArray in row sparse format.	[ "Creates", "a", "RowSparseNDArray", "a", "multidimensional", "row", "sparse", "array", "with", "a", "set", "of", "\\", "tensor", "slices", "at", "given", "indices", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L1020-L1140	train	Creates a multidimensional RowSparseNDArray with a set of slices at given indices.	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(416 - 368) + chr(5421 - 5310) + chr(0b110 + 0o61) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + chr(0b10 + 0o57) + chr(0b110101) + chr(50), 63386 - 63378), ehT0Px3KOsy9('\x30' + chr(5498 - 5387) + '\061' + chr(0b10010 + 0o43) + chr(2029 - 1979), 8), ehT0Px3KOsy9(chr(48) + chr(9904 - 9793) + chr(49) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12167 - 12056) + chr(0b1101 + 0o46) + '\x37' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b0 + 0o157) + '\061' + chr(55) + chr(0b110 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(55) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(4253 - 4142) + '\x31' + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(55) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\066' + chr(0b110001), 45841 - 45833), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010 + 0o0) + '\064' + chr(1465 - 1410), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\x33' + chr(52) + chr(0b101110 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(4660 - 4549) + chr(51) + chr(0b100000 + 0o25) + chr(52), 40132 - 40124), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(549 - 498) + chr(53) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(801 - 690) + chr(0b11 + 0o61) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(1061 - 1012) + chr(0b110101) + chr(1633 - 1585), 0b1000), ehT0Px3KOsy9(chr(2275 - 2227) + chr(111) + chr(0b1011 + 0o54) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(602 - 553) + chr(0b110010) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(52) + chr(0b10001 + 0o40), 33173 - 33165), ehT0Px3KOsy9('\x30' + chr(9714 - 9603) + chr(54) + chr(660 - 612), 39236 - 39228), ehT0Px3KOsy9(chr(1116 - 1068) + '\x6f' + chr(1726 - 1676) + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(10484 - 10373) + '\x33' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(55) + chr(0b110011 + 0o2), 10560 - 10552), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(55) + chr(0b11011 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(2304 - 2252) + chr(53), 1342 - 1334), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(1764 - 1715) + chr(0b110011), 58805 - 58797), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110011) + '\x36' + chr(2643 - 2588), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + chr(921 - 870) + chr(0b110010) + '\063', 40415 - 40407), ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + '\063' + '\x36' + '\060', 36896 - 36888), ehT0Px3KOsy9(chr(0b110000) + chr(3048 - 2937) + chr(0b100101 + 0o15) + '\064' + chr(276 - 225), 0b1000), ehT0Px3KOsy9(chr(594 - 546) + chr(111) + chr(49) + '\064' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b110001) + chr(872 - 821) + chr(0b110110), 64439 - 64431), ehT0Px3KOsy9(chr(466 - 418) + '\x6f' + chr(0b1001 + 0o50) + '\065' + chr(0b110001), 2669 - 2661), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(49) + chr(0b110101) + chr(58 - 5), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(0b11010 + 0o30) + chr(54) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(11964 - 11853) + chr(0b110010) + '\063' + '\x31', 53330 - 53322), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101011 + 0o7) + chr(0b110011) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(196 - 148) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(50) + chr(1570 - 1519) + chr(1629 - 1580), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x11'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(439 - 339) + chr(6805 - 6704))(chr(0b1110101) + '\x74' + chr(660 - 558) + chr(0b101101) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def XGVgNUEUZ_lu(FnY8vW1IiyNe, nauYfLglTpcb=None, oM3jLo753XfX=None, jSV9IKnemH7K=None): if PlSM16l2KDPD(FnY8vW1IiyNe, KNyTy8rYcwji): CtFn2vr6BxwH = c2A0yzQpDQB3(FnY8vW1IiyNe) if CtFn2vr6BxwH < ehT0Px3KOsy9(chr(1403 - 1355) + chr(111) + chr(50), 0o10): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'j\x04\x0fr\x8c\x1c[-\xdf\xd5\x87\x8b\x89\x83F\x1cQr\xceV\xbdu\x13\xccP\xbf\xd7\xa7\x85\xd3\t;SM'), chr(7070 - 6970) + chr(0b1100100 + 0o1) + chr(0b1100011) + '\157' + chr(7721 - 7621) + chr(7724 - 7623))('\165' + '\164' + chr(0b111010 + 0o54) + chr(45) + chr(0b101 + 0o63)) + M8_cKLkHVB2V(CtFn2vr6BxwH)) elif CtFn2vr6BxwH > ehT0Px3KOsy9('\x30' + chr(5374 - 5263) + chr(2414 - 2364), 8): mUHVhbokbjkx(FnY8vW1IiyNe, nauYfLglTpcb) return QxT4AUiPWdm4(xafqLlk3kkUe(SXOLrMavuUCe(b'M\x05\x1dU\x8f\tY+\xc9\xd4'), '\x64' + chr(101) + chr(99) + '\157' + chr(100) + chr(0b1100101))('\165' + '\164' + '\146' + chr(45) + chr(0b11101 + 0o33)), FnY8vW1IiyNe, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) elif PlSM16l2KDPD(FnY8vW1IiyNe[ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\x30', 0o10)], GakrcjanQCW1) and PlSM16l2KDPD(FnY8vW1IiyNe[ehT0Px3KOsy9(chr(2043 - 1995) + chr(111) + chr(0b1100 + 0o45), ord("\x08"))], GakrcjanQCW1): mUHVhbokbjkx(FnY8vW1IiyNe, nauYfLglTpcb) return QxT4AUiPWdm4(xafqLlk3kkUe(SXOLrMavuUCe(b'M\x05\x1dU\x8f\tY+\xc9\xd4'), chr(0b1100100) + chr(0b1100101) + chr(0b1100 + 0o127) + chr(111) + chr(0b1011101 + 0o7) + chr(0b11011 + 0o112))('\x75' + chr(116) + chr(102) + chr(0b101101) + '\x38'), FnY8vW1IiyNe, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) else: return yWeW8LmWWTKy(FnY8vW1IiyNe[ehT0Px3KOsy9(chr(48) + chr(1548 - 1437) + chr(0b110000), 8)], FnY8vW1IiyNe[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8)], shape=nauYfLglTpcb, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) elif PlSM16l2KDPD(FnY8vW1IiyNe, RwEGWXdf9TZ4): mUHVhbokbjkx(xafqLlk3kkUe(FnY8vW1IiyNe, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\x0b\x1fS\x9a5_5\xee\xc1\xc4\x85'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(0b10010 + 0o124) + chr(992 - 947) + chr(0b111000))), nauYfLglTpcb) return B0ePDhpqxN5n(FnY8vW1IiyNe, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) elif PlSM16l2KDPD(FnY8vW1IiyNe, umAF0v6l3LUP): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'j\x04\x0fr\x8c\x1c[-\xdf\xd5\x87\x8e\x82\x9dT\x1c\x19&\xd8@\xf8&]\xffv\x99\xb9\x97\xb1\xd1\x17?\x10'), chr(3160 - 3060) + chr(101) + chr(0b11010 + 0o111) + chr(2996 - 2885) + chr(0b1011010 + 0o12) + chr(0b111011 + 0o52))('\165' + chr(0b1110100) + '\146' + '\055' + chr(0b1010 + 0o56))) else: jSV9IKnemH7K = kPPYRHvTFvTj(FnY8vW1IiyNe, jSV9IKnemH7K) zIf4i4DukV8Y = BSyXVeDsQPu3(FnY8vW1IiyNe, dtype=jSV9IKnemH7K) if oM3jLo753XfX is not None and xafqLlk3kkUe(zIf4i4DukV8Y, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\x05\x04~\x99\x01L'), '\x64' + chr(0b1100101) + chr(7483 - 7384) + '\157' + chr(0b1100100) + '\145')(chr(2243 - 2126) + chr(0b1110100) + chr(102) + chr(0b10010 + 0o33) + chr(0b10100 + 0o44))) != oM3jLo753XfX: zIf4i4DukV8Y = zIf4i4DukV8Y.as_in_context(oM3jLo753XfX) mUHVhbokbjkx(xafqLlk3kkUe(zIf4i4DukV8Y, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\x0b\x1fS\x9a5_5\xee\xc1\xc4\x85'), chr(0b1100100) + chr(0b111010 + 0o53) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b10101 + 0o120))(chr(0b100100 + 0o121) + '\164' + '\x66' + chr(0b110 + 0o47) + '\070')), nauYfLglTpcb) return xafqLlk3kkUe(zIf4i4DukV8Y, xafqLlk3kkUe(SXOLrMavuUCe(b'K\x05\x19~\x85\t]'), '\x64' + chr(6792 - 6691) + chr(0b1100011) + chr(111) + chr(0b1000110 + 0o36) + '\145')(chr(117) + chr(0b100000 + 0o124) + chr(0b101011 + 0o73) + '\x2d' + chr(2557 - 2501)))(xafqLlk3kkUe(SXOLrMavuUCe(b'M\x05\x1dU\x8f\tY+\xc9\xd4'), chr(0b1011000 + 0o14) + chr(101) + '\143' + chr(9231 - 9120) + chr(0b100111 + 0o75) + chr(9447 - 9346))('\x75' + chr(0b10010 + 0o142) + chr(0b10 + 0o144) + '\055' + chr(0b110110 + 0o2)))
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	_row_sparse_ndarray_from_definition	def _row_sparse_ndarray_from_definition(data, indices, shape=None, ctx=None, dtype=None, indices_type=None): """Create a `RowSparseNDArray` based on data and indices""" storage_type = 'row_sparse' # context ctx = current_context() if ctx is None else ctx # types dtype = _prepare_default_dtype(data, dtype) indices_type = _STORAGE_AUX_TYPES[storage_type][0] if indices_type is None else indices_type # prepare src array and types data = _prepare_src_array(data, dtype) indices = _prepare_src_array(indices, indices_type) # TODO(junwu): Convert data, indptr, and indices to mxnet NDArrays # if they are not for now. In the future, we should provide a c-api # to accept np.ndarray types to copy from to result.data and aux_data if not isinstance(data, NDArray): data = _array(data, ctx, dtype) if not isinstance(indices, NDArray): indices = _array(indices, ctx, indices_type) if shape is None: num_indices = indices.shape[0] if num_indices == 0: raise ValueError('invalid shape') dim0 = indices[num_indices - 1].asscalar() + 1 shape = (dim0, ) + data.shape[1:] # verify shapes if data.ndim != len(shape) or indices.ndim != 1 or np.prod(shape[1:]) == 0: raise ValueError("invalid shape") result = RowSparseNDArray(_new_alloc_handle(storage_type, shape, ctx, False, dtype, [indices_type], [indices.shape])) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, data.handle, ctypes.c_int(-1))) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, indices.handle, ctypes.c_int(0))) return result	python	def _row_sparse_ndarray_from_definition(data, indices, shape=None, ctx=None, dtype=None, indices_type=None): """Create a `RowSparseNDArray` based on data and indices""" storage_type = 'row_sparse' # context ctx = current_context() if ctx is None else ctx # types dtype = _prepare_default_dtype(data, dtype) indices_type = _STORAGE_AUX_TYPES[storage_type][0] if indices_type is None else indices_type # prepare src array and types data = _prepare_src_array(data, dtype) indices = _prepare_src_array(indices, indices_type) # TODO(junwu): Convert data, indptr, and indices to mxnet NDArrays # if they are not for now. In the future, we should provide a c-api # to accept np.ndarray types to copy from to result.data and aux_data if not isinstance(data, NDArray): data = _array(data, ctx, dtype) if not isinstance(indices, NDArray): indices = _array(indices, ctx, indices_type) if shape is None: num_indices = indices.shape[0] if num_indices == 0: raise ValueError('invalid shape') dim0 = indices[num_indices - 1].asscalar() + 1 shape = (dim0, ) + data.shape[1:] # verify shapes if data.ndim != len(shape) or indices.ndim != 1 or np.prod(shape[1:]) == 0: raise ValueError("invalid shape") result = RowSparseNDArray(_new_alloc_handle(storage_type, shape, ctx, False, dtype, [indices_type], [indices.shape])) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, data.handle, ctypes.c_int(-1))) check_call(_LIB.MXNDArraySyncCopyFromNDArray(result.handle, indices.handle, ctypes.c_int(0))) return result	[ "def", "_row_sparse_ndarray_from_definition", "(", "data", ",", "indices", ",", "shape", "=", "None", ",", "ctx", "=", "None", ",", "dtype", "=", "None", ",", "indices_type", "=", "None", ")", ":", "storage_type", "=", "'row_sparse'", "# context", "ctx", "=", "current_context", "(", ")", "if", "ctx", "is", "None", "else", "ctx", "# types", "dtype", "=", "_prepare_default_dtype", "(", "data", ",", "dtype", ")", "indices_type", "=", "_STORAGE_AUX_TYPES", "[", "storage_type", "]", "[", "0", "]", "if", "indices_type", "is", "None", "else", "indices_type", "# prepare src array and types", "data", "=", "_prepare_src_array", "(", "data", ",", "dtype", ")", "indices", "=", "_prepare_src_array", "(", "indices", ",", "indices_type", ")", "# TODO(junwu): Convert data, indptr, and indices to mxnet NDArrays", "# if they are not for now. 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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(0b1000001 + 0o56) + chr(0b11001 + 0o32) + chr(0b110111) + chr(0b110010), 52146 - 52138), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110000 + 0o3) + chr(0b101001 + 0o10), 32482 - 32474), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1337 - 1286) + chr(2340 - 2291) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1413 - 1365) + chr(111) + '\061' + '\x31' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\062' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(10556 - 10445) + chr(0b110110 + 0o0) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b110111) + chr(1461 - 1407), 0o10), ehT0Px3KOsy9(chr(1683 - 1635) + '\157' + '\061' + chr(0b110010) + chr(0b110110), 52355 - 52347), ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + chr(1511 - 1461) + chr(0b11101 + 0o23) + chr(0b110011), 2801 - 2793), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b10111 + 0o32) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(6064 - 5953) + chr(0b110011) + '\x33' + chr(51), 0b1000), ehT0Px3KOsy9(chr(1095 - 1047) + '\x6f' + chr(0b110010) + '\x34' + '\x31', 42570 - 42562), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(0b11110 + 0o25) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2049 - 2001) + '\157' + '\061' + '\x34' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(648 - 600) + chr(2338 - 2285), 45798 - 45790), ehT0Px3KOsy9(chr(0b110000) + chr(1602 - 1491) + '\063' + chr(49) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(6835 - 6724) + chr(0b110011) + chr(0b101100 + 0o5) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x33' + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1337 - 1286) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(1364 - 1312) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x32' + '\x33', 24941 - 24933), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(123 - 12) + chr(0b110001) + chr(50) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + '\065' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100110 + 0o13) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(440 - 389) + chr(49) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(94 - 44) + '\x30' + chr(677 - 627), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(724 - 675) + chr(53) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\066' + chr(52), 54895 - 54887), ehT0Px3KOsy9(chr(1862 - 1814) + '\x6f' + chr(2550 - 2499) + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o62) + chr(0b10110 + 0o36) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x35' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10110 + 0o41) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + chr(0b110011) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(499 - 448) + '\x36' + chr(1976 - 1922), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11261 - 11150) + '\063' + chr(0b110110) + chr(2184 - 2133), 17708 - 17700), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(49) + chr(0b100111 + 0o14) + chr(0b11000 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(49) + chr(0b110110) + chr(0b110100), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + '\060', 52128 - 52120)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4'), chr(8871 - 8771) + chr(8176 - 8075) + chr(99) + chr(0b1100110 + 0o11) + chr(0b1100100) + '\x65')(chr(10156 - 10039) + chr(0b1110100) + '\146' + '\055' + chr(921 - 865)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def yWeW8LmWWTKy(ULnjp6D6efFH, pIcoaXENl5Pw, nauYfLglTpcb=None, oM3jLo753XfX=None, jSV9IKnemH7K=None, pd9t9ppYXwOK=None): bgYGSsW4qQl5 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xf6\xbe\x14aB_$\xf0\xe9'), chr(100) + '\x65' + '\x63' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(7559 - 7457) + chr(950 - 905) + '\x38') oM3jLo753XfX = XCj8K5DCp8y0() if oM3jLo753XfX is None else oM3jLo753XfX jSV9IKnemH7K = kPPYRHvTFvTj(ULnjp6D6efFH, jSV9IKnemH7K) pd9t9ppYXwOK = KxWSNwF4Okjt[bgYGSsW4qQl5][ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 0b1000)] if pd9t9ppYXwOK is None else pd9t9ppYXwOK ULnjp6D6efFH = TRMQLcYDQYSc(ULnjp6D6efFH, jSV9IKnemH7K) pIcoaXENl5Pw = TRMQLcYDQYSc(pIcoaXENl5Pw, pd9t9ppYXwOK) if not PlSM16l2KDPD(ULnjp6D6efFH, GdqFjMbtKL7s): ULnjp6D6efFH = BSyXVeDsQPu3(ULnjp6D6efFH, oM3jLo753XfX, jSV9IKnemH7K) if not PlSM16l2KDPD(pIcoaXENl5Pw, GdqFjMbtKL7s): pIcoaXENl5Pw = BSyXVeDsQPu3(pIcoaXENl5Pw, oM3jLo753XfX, pd9t9ppYXwOK) if nauYfLglTpcb is None: HvlGTxWkULcp = pIcoaXENl5Pw.nauYfLglTpcb[ehT0Px3KOsy9(chr(1249 - 1201) + '\157' + chr(0b110000), 8)] if HvlGTxWkULcp == ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1000 + 0o50), 8): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\xf7\xbf~[Zv\xf0\xe4\xba\xd1{'), chr(1479 - 1379) + chr(101) + chr(1678 - 1579) + '\x6f' + '\144' + chr(0b1100101))('\165' + '\164' + chr(7327 - 7225) + '\x2d' + chr(0b111000))) ppNVdWQ0IxI5 = pIcoaXENl5Pw[HvlGTxWkULcp - ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 0b1000)].asscalar() + ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8) nauYfLglTpcb = (ppNVdWQ0IxI5,) + ULnjp6D6efFH.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8):] if xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xf6\xa4;ZpW\x02\xf0\xea\x91\xf5'), chr(100) + chr(0b1100101) + '\143' + chr(0b11111 + 0o120) + '\x64' + '\145')(chr(0b1011100 + 0o31) + chr(0b1110100) + chr(102) + chr(0b1101 + 0o40) + '\070')) != c2A0yzQpDQB3(nauYfLglTpcb) or xafqLlk3kkUe(pIcoaXENl5Pw, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xf6\xa4;ZpW\x02\xf0\xea\x91\xf5'), chr(100) + chr(1250 - 1149) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1000000 + 0o65) + chr(2820 - 2704) + '\x66' + chr(0b11101 + 0o20) + chr(2818 - 2762))) != ehT0Px3KOsy9(chr(48) + chr(2322 - 2211) + chr(0b110001), 8) or xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xdb\x90 %\x0bRb\xcd\xe7\xe3\xc9'), chr(0b10001 + 0o123) + '\145' + '\x63' + '\157' + chr(0b1000101 + 0o37) + '\x65')(chr(1151 - 1034) + '\x74' + chr(4736 - 4634) + chr(45) + chr(0b111000)))(nauYfLglTpcb[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8):]) == ehT0Px3KOsy9('\x30' + chr(5476 - 5365) + chr(1048 - 1000), 8): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\xf7\xbf~[Zv\xf0\xe4\xba\xd1{'), chr(2505 - 2405) + chr(101) + chr(0b1101 + 0o126) + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(5332 - 5216) + chr(7096 - 6994) + chr(281 - 236) + chr(0b111000))) ShZmEKfTkAOZ = RwEGWXdf9TZ4(dH4mZSHhFjwi(bgYGSsW4qQl5, nauYfLglTpcb, oM3jLo753XfX, ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8), jSV9IKnemH7K, [pd9t9ppYXwOK], [pIcoaXENl5Pw.nauYfLglTpcb])) VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xc1\x87\x0fS@L7\xfa\xdf\xa2\xcf}D\x0c\x14\xfc\x8e\xbe5tk\xd7\x16]Nk\xb7'), chr(100) + chr(0b1100101) + chr(0b110 + 0o135) + '\x6f' + '\x64' + chr(9201 - 9100))(chr(0b101 + 0o160) + '\x74' + chr(8741 - 8639) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xe1\x9d>_Cx\x0c\xe7\xf6\x81\xd9'), '\144' + '\145' + '\x63' + chr(0b111001 + 0o66) + chr(5533 - 5433) + '\145')(chr(10225 - 10108) + chr(116) + chr(0b10011 + 0o123) + chr(0b11011 + 0o22) + chr(0b100110 + 0o22))), xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xe1\x9d>_Cx\x0c\xe7\xf6\x81\xd9'), chr(100) + chr(101) + '\143' + chr(0b101111 + 0o100) + chr(0b110110 + 0o56) + chr(3502 - 3401))('\165' + chr(1052 - 936) + '\146' + chr(0b101101) + '\070')), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xc6\xa0%f'), chr(0b1100100) + chr(101) + chr(877 - 778) + chr(8074 - 7963) + '\144' + chr(101))(chr(0b1110101) + chr(0b100001 + 0o123) + chr(2460 - 2358) + '\x2d' + '\x38'))(-ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b111 + 0o52), 8)))) VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xc1\x87\x0fS@L7\xfa\xdf\xa2\xcf}D\x0c\x14\xfc\x8e\xbe5tk\xd7\x16]Nk\xb7'), chr(0b1100100) + '\145' + chr(99) + chr(0b111101 + 0o62) + chr(0b111010 + 0o52) + chr(0b1100101))(chr(3232 - 3115) + chr(0b1110100) + chr(102) + chr(0b10001 + 0o34) + chr(0b111000)))(xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xe1\x9d>_Cx\x0c\xe7\xf6\x81\xd9'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b111010 + 0o52) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(81 - 25))), xafqLlk3kkUe(pIcoaXENl5Pw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xe1\x9d>_Cx\x0c\xe7\xf6\x81\xd9'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1011011 + 0o24) + chr(0b1100100) + '\145')(chr(0b11011 + 0o132) + chr(6960 - 6844) + '\x66' + '\055' + chr(1607 - 1551))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xc6\xa0%f'), chr(0b1001101 + 0o27) + chr(0b1011000 + 0o15) + chr(9434 - 9335) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + chr(7981 - 7879) + chr(1927 - 1882) + chr(0b111000)))(ehT0Px3KOsy9(chr(558 - 510) + chr(111) + chr(1012 - 964), 8)))) return ShZmEKfTkAOZ
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	add	def add(lhs, rhs): """Returns element-wise sum of the input arrays with broadcasting. Equivalent to ``lhs + rhs``, ``mx.nd.broadcast_add(lhs, rhs)`` and ``mx.nd.broadcast_plus(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_add(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape.abs Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be added. rhs : scalar or mxnet.ndarray.sparse.array Second array to be added. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise sum of the input arrays. Examples -------- >>> a = mx.nd.ones((2,3)).tostype('csr') >>> b = mx.nd.ones((2,3)).tostype('csr') >>> a.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> b.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (a+b).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> c = mx.nd.ones((2,3)).tostype('row_sparse') >>> d = mx.nd.ones((2,3)).tostype('row_sparse') >>> c.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> d.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (c+d).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) """ # pylint: disable= no-member, protected-access if isinstance(lhs, NDArray) and isinstance(rhs, NDArray) and lhs.shape == rhs.shape: return _ufunc_helper( lhs, rhs, op.elemwise_add, operator.add, _internal._plus_scalar, None) return _ufunc_helper( lhs, rhs, op.broadcast_add, operator.add, _internal._plus_scalar, None)	python	def add(lhs, rhs): """Returns element-wise sum of the input arrays with broadcasting. Equivalent to ``lhs + rhs``, ``mx.nd.broadcast_add(lhs, rhs)`` and ``mx.nd.broadcast_plus(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_add(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape.abs Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be added. rhs : scalar or mxnet.ndarray.sparse.array Second array to be added. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise sum of the input arrays. Examples -------- >>> a = mx.nd.ones((2,3)).tostype('csr') >>> b = mx.nd.ones((2,3)).tostype('csr') >>> a.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> b.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (a+b).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> c = mx.nd.ones((2,3)).tostype('row_sparse') >>> d = mx.nd.ones((2,3)).tostype('row_sparse') >>> c.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> d.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (c+d).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) """ # pylint: disable= no-member, protected-access if isinstance(lhs, NDArray) and isinstance(rhs, NDArray) and lhs.shape == rhs.shape: return _ufunc_helper( lhs, rhs, op.elemwise_add, operator.add, _internal._plus_scalar, None) return _ufunc_helper( lhs, rhs, op.broadcast_add, operator.add, _internal._plus_scalar, None)	[ "def", "add", "(", "lhs", ",", "rhs", ")", ":", "# pylint: disable= no-member, protected-access", "if", "isinstance", "(", "lhs", ",", "NDArray", ")", "and", "isinstance", "(", "rhs", ",", "NDArray", ")", "and", "lhs", ".", "shape", "==", "rhs", ".", "shape", ":", "return", "_ufunc_helper", "(", "lhs", ",", "rhs", ",", "op", ".", "elemwise_add", ",", "operator", ".", "add", ",", "_internal", ".", "_plus_scalar", ",", "None", ")", "return", "_ufunc_helper", "(", "lhs", ",", "rhs", ",", "op", ".", "broadcast_add", ",", "operator", ".", "add", ",", "_internal", ".", "_plus_scalar", ",", "None", ")" ]	Returns element-wise sum of the input arrays with broadcasting. Equivalent to ``lhs + rhs``, ``mx.nd.broadcast_add(lhs, rhs)`` and ``mx.nd.broadcast_plus(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_add(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape.abs Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be added. rhs : scalar or mxnet.ndarray.sparse.array Second array to be added. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise sum of the input arrays. Examples -------- >>> a = mx.nd.ones((2,3)).tostype('csr') >>> b = mx.nd.ones((2,3)).tostype('csr') >>> a.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> b.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (a+b).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> c = mx.nd.ones((2,3)).tostype('row_sparse') >>> d = mx.nd.ones((2,3)).tostype('row_sparse') >>> c.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> d.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (c+d).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32)	[ "Returns", "element", "-", "wise", "sum", "of", "the", "input", "arrays", "with", "broadcasting", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L1193-L1261	train	Adds two arrays with broadcasting.	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' + '\x31' + '\x30' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11799 - 11688) + chr(0b110011) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(49) + chr(1071 - 1023) + chr(0b110011), 4535 - 4527), ehT0Px3KOsy9(chr(0b110000) + chr(1465 - 1354) + '\062' + '\062' + chr(2130 - 2075), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x31' + chr(1148 - 1093) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(1286 - 1175) + chr(49) + '\x31' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(138 - 83) + chr(0b110001), 57968 - 57960), ehT0Px3KOsy9(chr(1718 - 1670) + '\157' + chr(0b101010 + 0o7) + chr(0b110111) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110110) + chr(2451 - 2398), 32736 - 32728), ehT0Px3KOsy9(chr(48) + chr(7335 - 7224) + chr(0b110100) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10111 + 0o33) + '\065' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(2066 - 2018) + chr(1728 - 1617) + chr(2116 - 2065) + chr(53) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110101) + chr(985 - 930), ord("\x08")), ehT0Px3KOsy9(chr(1045 - 997) + chr(111) + chr(0b110010) + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9(chr(2039 - 1991) + '\x6f' + chr(50) + chr(1218 - 1167) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2038 - 1987) + chr(55) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3391 - 3280) + chr(51) + chr(2123 - 2074) + '\x31', 53606 - 53598), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(2078 - 2025), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x32' + chr(1497 - 1444), 4957 - 4949), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + '\x35', 8386 - 8378), ehT0Px3KOsy9('\x30' + chr(111) + chr(2145 - 2094) + '\061' + chr(0b110011), 65248 - 65240), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x30' + chr(0b10101 + 0o37), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x36' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(48) + chr(380 - 329), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(4278 - 4167) + '\061' + '\061' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(5577 - 5466) + '\x31' + chr(0b110111) + '\x30', 0o10), ehT0Px3KOsy9(chr(1050 - 1002) + chr(6155 - 6044) + '\066' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\064' + chr(53), 13548 - 13540), ehT0Px3KOsy9(chr(48) + chr(3794 - 3683) + '\x33' + '\062' + chr(2252 - 2197), 35894 - 35886), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\x31' + '\066' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(2513 - 2402) + '\061' + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(333 - 282) + chr(1768 - 1715) + chr(0b10001 + 0o40), 52290 - 52282), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(154 - 103) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(2041 - 1993) + chr(0b1101111) + chr(0b110010) + chr(0b110000) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\061' + chr(0b110100) + '\x32', 0b1000), ehT0Px3KOsy9(chr(2073 - 2025) + chr(111) + chr(0b100000 + 0o22) + '\066' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100100 + 0o22) + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(6132 - 6021) + '\x35' + chr(0b110 + 0o52), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'j'), chr(0b1100100) + '\145' + chr(0b1010011 + 0o20) + chr(5751 - 5640) + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(347 - 245) + chr(0b101101) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def uJ0q9cG5ZOR3(cuj9DsjDUyqP, TLyjFoww1L3N): if PlSM16l2KDPD(cuj9DsjDUyqP, GdqFjMbtKL7s) and PlSM16l2KDPD(TLyjFoww1L3N, GdqFjMbtKL7s) and (xafqLlk3kkUe(cuj9DsjDUyqP, xafqLlk3kkUe(SXOLrMavuUCe(b'\|6\xce\x1b\x03\x1e\x17aS\xcd\x88'), chr(0b1100100) + chr(0b101 + 0o140) + chr(0b1100011) + '\x6f' + '\144' + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(1639 - 1594) + chr(0b111000))) == xafqLlk3kkUe(TLyjFoww1L3N, xafqLlk3kkUe(SXOLrMavuUCe(b'\|6\xce\x1b\x03\x1e\x17aS\xcd\x88'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(11001 - 10884) + chr(4292 - 4176) + '\146' + chr(1002 - 957) + chr(798 - 742)))): return ds3d0f99cgFg(cuj9DsjDUyqP, TLyjFoww1L3N, xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'!q&\xfa\n&\n\x1ejB\xca\x8e'), '\x64' + chr(7689 - 7588) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1010001 + 0o24))(chr(117) + '\x74' + chr(0b1100110) + chr(455 - 410) + '\x38')), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'1Ws\xe6D,>Nol\xfc\xd9'), '\x64' + '\x65' + chr(0b1011011 + 0o10) + chr(111) + '\144' + '\x65')(chr(6505 - 6388) + '\164' + '\146' + chr(0b101101) + chr(0b101001 + 0o17))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm/\xe2\x0e\x10\n\x18TO\xcf\x98'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1011111 + 0o20) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(151 - 35) + '\x66' + chr(1272 - 1227) + chr(0b111000))), None) return ds3d0f99cgFg(cuj9DsjDUyqP, TLyjFoww1L3N, xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'&o,\xf6\x19,\x18\x08A\|\xcf\x8em'), '\x64' + '\x65' + chr(99) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000))), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'1Ws\xe6D,>Nol\xfc\xd9'), chr(0b1100100) + chr(101) + chr(99) + chr(0b110 + 0o151) + chr(0b1100100) + '\145')('\165' + chr(836 - 720) + '\146' + '\055' + chr(0b110100 + 0o4))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bm/\xe2\x0e\x10\n\x18TO\xcf\x98'), '\x64' + chr(0b101011 + 0o72) + chr(7828 - 7729) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + '\x38')), None)
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	subtract	def subtract(lhs, rhs): """Returns element-wise difference of the input arrays with broadcasting. Equivalent to ``lhs - rhs``, ``mx.nd.broadcast_sub(lhs, rhs)`` and ``mx.nd.broadcast_minus(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_sub(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be subtracted. rhs : scalar or mxnet.ndarray.sparse.array Second array to be subtracted. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape.__spec__ Returns ------- NDArray The element-wise difference of the input arrays. Examples -------- >>> a = mx.nd.ones((2,3)).tostype('csr') >>> b = mx.nd.ones((2,3)).tostype('csr') >>> a.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> b.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (a-b).asnumpy() array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) >>> c = mx.nd.ones((2,3)).tostype('row_sparse') >>> d = mx.nd.ones((2,3)).tostype('row_sparse') >>> c.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> d.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (c-d).asnumpy() array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) """ # pylint: disable= no-member, protected-access if isinstance(lhs, NDArray) and isinstance(rhs, NDArray) and lhs.shape == rhs.shape: return _ufunc_helper( lhs, rhs, op.elemwise_sub, operator.sub, _internal._minus_scalar, None) return _ufunc_helper( lhs, rhs, op.broadcast_sub, operator.sub, _internal._minus_scalar, None)	python	def subtract(lhs, rhs): """Returns element-wise difference of the input arrays with broadcasting. Equivalent to ``lhs - rhs``, ``mx.nd.broadcast_sub(lhs, rhs)`` and ``mx.nd.broadcast_minus(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_sub(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be subtracted. rhs : scalar or mxnet.ndarray.sparse.array Second array to be subtracted. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape.__spec__ Returns ------- NDArray The element-wise difference of the input arrays. Examples -------- >>> a = mx.nd.ones((2,3)).tostype('csr') >>> b = mx.nd.ones((2,3)).tostype('csr') >>> a.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> b.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (a-b).asnumpy() array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) >>> c = mx.nd.ones((2,3)).tostype('row_sparse') >>> d = mx.nd.ones((2,3)).tostype('row_sparse') >>> c.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> d.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (c-d).asnumpy() array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) """ # pylint: disable= no-member, protected-access if isinstance(lhs, NDArray) and isinstance(rhs, NDArray) and lhs.shape == rhs.shape: return _ufunc_helper( lhs, rhs, op.elemwise_sub, operator.sub, _internal._minus_scalar, None) return _ufunc_helper( lhs, rhs, op.broadcast_sub, operator.sub, _internal._minus_scalar, None)	[ "def", "subtract", "(", "lhs", ",", "rhs", ")", ":", "# pylint: disable= no-member, protected-access", "if", "isinstance", "(", "lhs", ",", "NDArray", ")", "and", "isinstance", "(", "rhs", ",", "NDArray", ")", "and", "lhs", ".", "shape", "==", "rhs", ".", "shape", ":", "return", "_ufunc_helper", "(", "lhs", ",", "rhs", ",", "op", ".", "elemwise_sub", ",", "operator", ".", "sub", ",", "_internal", ".", "_minus_scalar", ",", "None", ")", "return", "_ufunc_helper", "(", "lhs", ",", "rhs", ",", "op", ".", "broadcast_sub", ",", "operator", ".", "sub", ",", "_internal", ".", "_minus_scalar", ",", "None", ")" ]	Returns element-wise difference of the input arrays with broadcasting. Equivalent to ``lhs - rhs``, ``mx.nd.broadcast_sub(lhs, rhs)`` and ``mx.nd.broadcast_minus(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_sub(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be subtracted. rhs : scalar or mxnet.ndarray.sparse.array Second array to be subtracted. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape.__spec__ Returns ------- NDArray The element-wise difference of the input arrays. Examples -------- >>> a = mx.nd.ones((2,3)).tostype('csr') >>> b = mx.nd.ones((2,3)).tostype('csr') >>> a.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> b.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (a-b).asnumpy() array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) >>> c = mx.nd.ones((2,3)).tostype('row_sparse') >>> d = mx.nd.ones((2,3)).tostype('row_sparse') >>> c.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> d.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> (c-d).asnumpy() array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32)	[ "Returns", "element", "-", "wise", "difference", "of", "the", "input", "arrays", "with", "broadcasting", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L1265-L1333	train	Subtracts the elements of two arrays with broadcasting.	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(0b110 + 0o52) + '\157' + '\x37' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1645 - 1597) + chr(111) + '\x33' + chr(0b110000 + 0o3) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + '\066' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1001 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(203 - 153) + chr(49) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1001 + 0o51) + chr(48) + chr(0b110100 + 0o0), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(0b11000 + 0o37) + '\x36', 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\061' + chr(2501 - 2446), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b101011 + 0o6) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(6163 - 6052) + '\x31' + chr(0b1101 + 0o51) + chr(0b110100), 16577 - 16569), ehT0Px3KOsy9(chr(0b110000) + chr(636 - 525) + '\x33' + chr(52) + chr(1628 - 1576), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110001) + chr(55), 0o10), ehT0Px3KOsy9(chr(1244 - 1196) + chr(111) + chr(1449 - 1398) + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(259 - 209) + '\x35' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1348 - 1300) + chr(111) + chr(51) + '\x32' + chr(0b110 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\067' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\060' + chr(1474 - 1422), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(48) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110101) + chr(0b11111 + 0o30), 0b1000), ehT0Px3KOsy9(chr(150 - 102) + chr(10946 - 10835) + chr(0b0 + 0o63) + '\x37' + chr(1342 - 1288), 45448 - 45440), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110001 + 0o1) + chr(0b10011 + 0o44) + '\065', 56210 - 56202), ehT0Px3KOsy9('\x30' + chr(11491 - 11380) + '\062' + chr(48) + chr(0b110 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110010) + chr(1880 - 1825), 0o10), ehT0Px3KOsy9(chr(1841 - 1793) + chr(0b1101111) + '\x31' + chr(0b11101 + 0o25) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1585 - 1535) + chr(50), 62689 - 62681), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1011001 + 0o26) + '\061' + chr(119 - 67) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1011110 + 0o21) + chr(51) + chr(52) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8551 - 8440) + chr(0b110011) + '\x31' + chr(0b11001 + 0o36), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b101101 + 0o7) + chr(0b110100), 8), ehT0Px3KOsy9('\060' + chr(3982 - 3871) + '\x32' + chr(54) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1718 - 1667) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1893 - 1845) + '\x6f' + chr(619 - 568) + '\066' + chr(1858 - 1810), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1011110 + 0o21) + chr(49) + '\063' + '\x30', 0o10), ehT0Px3KOsy9(chr(466 - 418) + chr(111) + '\x31' + chr(53) + chr(2585 - 2531), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(50) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b101100 + 0o4) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(588 - 536) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(461 - 413), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1371 - 1323) + chr(10896 - 10785) + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), '\144' + '\145' + chr(99) + '\157' + chr(100) + chr(8263 - 8162))(chr(9692 - 9575) + chr(0b1110100) + '\146' + chr(0b101101) + chr(1816 - 1760)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def swHo32JYwFMW(cuj9DsjDUyqP, TLyjFoww1L3N): if PlSM16l2KDPD(cuj9DsjDUyqP, GdqFjMbtKL7s) and PlSM16l2KDPD(TLyjFoww1L3N, GdqFjMbtKL7s) and (xafqLlk3kkUe(cuj9DsjDUyqP, xafqLlk3kkUe(SXOLrMavuUCe(b'P\xbcA\\\xee\xc8Y\xe3\x9b\x04\x87-'), chr(100) + chr(3367 - 3266) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b10100 + 0o121))('\165' + chr(0b1110100) + chr(10030 - 9928) + chr(0b11010 + 0o23) + '\070')) == xafqLlk3kkUe(TLyjFoww1L3N, xafqLlk3kkUe(SXOLrMavuUCe(b'P\xbcA\\\xee\xc8Y\xe3\x9b\x04\x87-'), '\x64' + chr(0b1100011 + 0o2) + chr(0b1100011) + chr(478 - 367) + '\144' + chr(9853 - 9752))(chr(8833 - 8716) + chr(116) + '\146' + '\055' + chr(56)))): return ds3d0f99cgFg(cuj9DsjDUyqP, TLyjFoww1L3N, xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'[\xb1Qh\xff\xedM\xea\x90\x07\x91-'), chr(0b1010011 + 0o21) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(2162 - 2062) + '\x65')(chr(0b1110101) + chr(116) + chr(9175 - 9073) + chr(45) + '\070')), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xa8V'), chr(0b100111 + 0o75) + chr(101) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1110 + 0o127))(chr(11968 - 11851) + chr(0b101101 + 0o107) + '\x66' + chr(0b101101) + chr(0b100 + 0o64))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xb0]k\xfd\xf7a\xfc\xac\x15\x88.\xac'), '\x64' + chr(101) + chr(99) + '\x6f' + chr(7661 - 7561) + chr(0b1100101))('\x75' + chr(10730 - 10614) + '\x66' + chr(0b101101) + chr(2593 - 2537))), None) return ds3d0f99cgFg(cuj9DsjDUyqP, TLyjFoww1L3N, xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\xaf[d\xec\xe7_\xfc\xbb+\x97:\xbc'), chr(100) + chr(0b10000 + 0o125) + chr(99) + chr(11176 - 11065) + chr(0b1100100) + chr(101))(chr(1701 - 1584) + '\164' + chr(0b1100110) + '\055' + chr(0b111000))), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xa8V'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + '\055' + chr(0b111000))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xb0]k\xfd\xf7a\xfc\xac\x15\x88.\xac'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1011011 + 0o12))('\165' + chr(0b1110100) + chr(0b100010 + 0o104) + chr(0b10010 + 0o33) + '\x38')), None)
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	multiply	def multiply(lhs, rhs): """Returns element-wise product of the input arrays with broadcasting. Equivalent to ``lhs * rhs`` and ``mx.nd.broadcast_mul(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_mul(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be multiplied. rhs : scalar or mxnet.ndarray.sparse.array Second array to be multiplied. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise multiplication of the input arrays. Examples -------- >>> x = mx.nd.ones((2,3)).tostype('csr') >>> y = mx.nd.arange(2).reshape((2,1)) >>> z = mx.nd.arange(3) >>> x.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> y.asnumpy() array([[ 0.], [ 1.]], dtype=float32) >>> z.asnumpy() array([ 0., 1., 2.], dtype=float32) >>> (x2).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> (xy).asnumpy() array([[ 0., 0., 0.], [ 1., 1., 1.]], dtype=float32) >>> mx.nd.sparse.multiply(x, y).asnumpy() array([[ 0., 0., 0.], [ 1., 1., 1.]], dtype=float32) >>> (xz).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> mx.nd.sparse.multiply(x, z).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> z = z.reshape((1, 3)) >>> z.asnumpy() array([[ 0., 1., 2.]], dtype=float32) >>> (xz).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> mx.nd.sparse.multiply(x, z).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) """ # pylint: disable= no-member, protected-access if isinstance(lhs, NDArray) and isinstance(rhs, NDArray) and lhs.shape == rhs.shape: return _ufunc_helper( lhs, rhs, op.elemwise_mul, operator.mul, _internal._mul_scalar, None) return _ufunc_helper( lhs, rhs, op.broadcast_mul, operator.mul, _internal._mul_scalar, None)	python	def multiply(lhs, rhs): """Returns element-wise product of the input arrays with broadcasting. Equivalent to ``lhs * rhs`` and ``mx.nd.broadcast_mul(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_mul(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be multiplied. rhs : scalar or mxnet.ndarray.sparse.array Second array to be multiplied. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise multiplication of the input arrays. Examples -------- >>> x = mx.nd.ones((2,3)).tostype('csr') >>> y = mx.nd.arange(2).reshape((2,1)) >>> z = mx.nd.arange(3) >>> x.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> y.asnumpy() array([[ 0.], [ 1.]], dtype=float32) >>> z.asnumpy() array([ 0., 1., 2.], dtype=float32) >>> (x2).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> (xy).asnumpy() array([[ 0., 0., 0.], [ 1., 1., 1.]], dtype=float32) >>> mx.nd.sparse.multiply(x, y).asnumpy() array([[ 0., 0., 0.], [ 1., 1., 1.]], dtype=float32) >>> (xz).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> mx.nd.sparse.multiply(x, z).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> z = z.reshape((1, 3)) >>> z.asnumpy() array([[ 0., 1., 2.]], dtype=float32) >>> (xz).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> mx.nd.sparse.multiply(x, z).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) """ # pylint: disable= no-member, protected-access if isinstance(lhs, NDArray) and isinstance(rhs, NDArray) and lhs.shape == rhs.shape: return _ufunc_helper( lhs, rhs, op.elemwise_mul, operator.mul, _internal._mul_scalar, None) return _ufunc_helper( lhs, rhs, op.broadcast_mul, operator.mul, _internal._mul_scalar, None)	[ "def", "multiply", "(", "lhs", ",", "rhs", ")", ":", "# pylint: disable= no-member, protected-access", "if", "isinstance", "(", "lhs", ",", "NDArray", ")", "and", "isinstance", "(", "rhs", ",", "NDArray", ")", "and", "lhs", ".", "shape", "==", "rhs", ".", "shape", ":", "return", "_ufunc_helper", "(", "lhs", ",", "rhs", ",", "op", ".", "elemwise_mul", ",", "operator", ".", "mul", ",", "_internal", ".", "_mul_scalar", ",", "None", ")", "return", "_ufunc_helper", "(", "lhs", ",", "rhs", ",", "op", ".", "broadcast_mul", ",", "operator", ".", "mul", ",", "_internal", ".", "_mul_scalar", ",", "None", ")" ]	Returns element-wise product of the input arrays with broadcasting. Equivalent to ``lhs * rhs`` and ``mx.nd.broadcast_mul(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_mul(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array to be multiplied. rhs : scalar or mxnet.ndarray.sparse.array Second array to be multiplied. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise multiplication of the input arrays. Examples -------- >>> x = mx.nd.ones((2,3)).tostype('csr') >>> y = mx.nd.arange(2).reshape((2,1)) >>> z = mx.nd.arange(3) >>> x.asnumpy() array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) >>> y.asnumpy() array([[ 0.], [ 1.]], dtype=float32) >>> z.asnumpy() array([ 0., 1., 2.], dtype=float32) >>> (x2).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> (xy).asnumpy() array([[ 0., 0., 0.], [ 1., 1., 1.]], dtype=float32) >>> mx.nd.sparse.multiply(x, y).asnumpy() array([[ 0., 0., 0.], [ 1., 1., 1.]], dtype=float32) >>> (xz).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> mx.nd.sparse.multiply(x, z).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> z = z.reshape((1, 3)) >>> z.asnumpy() array([[ 0., 1., 2.]], dtype=float32) >>> (xz).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32) >>> mx.nd.sparse.multiply(x, z).asnumpy() array([[ 0., 1., 2.], [ 0., 1., 2.]], dtype=float32)	[ "Returns", "element", "-", "wise", "product", "of", "the", "input", "arrays", "with", "broadcasting", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L1337-L1417	train	Returns an NDArray that is element - wise multiplication of the input arrays with broadcasting.	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(0b1010 + 0o47) + chr(0b110010) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(9868 - 9757) + '\063' + '\066' + chr(1362 - 1314), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(67 - 13) + chr(616 - 567), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b1110 + 0o43) + chr(1669 - 1617), ord("\x08")), ehT0Px3KOsy9(chr(1565 - 1517) + '\x6f' + chr(49) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(51) + chr(0b10101 + 0o33) + chr(158 - 108), 43351 - 43343), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(54), 22869 - 22861), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(500 - 445) + '\065', 23483 - 23475), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(820 - 771) + chr(372 - 322) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + '\x34' + chr(0b11 + 0o63), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110011) + chr(1521 - 1470) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(4935 - 4824) + '\x32' + chr(49) + chr(0b101101 + 0o6), 15516 - 15508), ehT0Px3KOsy9('\x30' + '\x6f' + chr(159 - 105) + '\067', 51070 - 51062), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1100101 + 0o12) + chr(0b11011 + 0o26) + chr(0b1101 + 0o51), 4668 - 4660), ehT0Px3KOsy9(chr(430 - 382) + '\x6f' + chr(0b110010) + '\066' + chr(695 - 645), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(2043 - 1994), 43678 - 43670), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(49) + chr(52), 19861 - 19853), ehT0Px3KOsy9(chr(48) + '\157' + chr(1078 - 1028) + chr(0b110110) + chr(1315 - 1264), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(912 - 863) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(8692 - 8581) + '\063' + chr(2332 - 2283) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2031 - 1983) + chr(6171 - 6060) + chr(2331 - 2282) + chr(1327 - 1275) + chr(0b1000 + 0o57), 26825 - 26817), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b110100 + 0o73) + chr(0b10110 + 0o40) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(833 - 785) + chr(0b111111 + 0o60) + chr(0b110000), 29314 - 29306), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100 + 0o56), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(57 - 6) + '\x31' + chr(0b100100 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b100010 + 0o20) + chr(2805 - 2751) + chr(0b10010 + 0o37), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2622 - 2569) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(0b110011) + chr(2023 - 1972) + chr(53), 8), ehT0Px3KOsy9(chr(2284 - 2236) + chr(0b10010 + 0o135) + '\x33' + chr(55) + chr(0b100 + 0o56), 52385 - 52377), ehT0Px3KOsy9(chr(1267 - 1219) + '\157' + chr(1788 - 1734) + '\062', 33186 - 33178), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(6952 - 6841) + chr(0b110001) + chr(853 - 802) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o0) + chr(0b110010) + chr(51), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(6430 - 6319) + chr(423 - 374) + chr(0b1101 + 0o46) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(0b110011) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\064' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + '\062', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110101) + chr(0b110001), 30999 - 30991)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + chr(293 - 245), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'z'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(195 - 95) + chr(0b1100100 + 0o1))('\165' + chr(0b1110100) + chr(0b110110 + 0o60) + chr(0b101101) + chr(1494 - 1438)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def GAPluJ7SNlqH(cuj9DsjDUyqP, TLyjFoww1L3N): if PlSM16l2KDPD(cuj9DsjDUyqP, GdqFjMbtKL7s) and PlSM16l2KDPD(TLyjFoww1L3N, GdqFjMbtKL7s) and (xafqLlk3kkUe(cuj9DsjDUyqP, xafqLlk3kkUe(SXOLrMavuUCe(b':\x91\x04\x15m\x8ey\x91\x07V\xbe\xe9'), chr(0b1010011 + 0o21) + '\145' + '\143' + chr(0b1010100 + 0o33) + chr(5796 - 5696) + chr(8904 - 8803))('\x75' + chr(116) + '\x66' + '\055' + chr(0b111000))) == xafqLlk3kkUe(TLyjFoww1L3N, xafqLlk3kkUe(SXOLrMavuUCe(b':\x91\x04\x15m\x8ey\x91\x07V\xbe\xe9'), chr(0b1011011 + 0o11) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(5722 - 5620) + chr(45) + chr(1036 - 980)))): return ds3d0f99cgFg(cuj9DsjDUyqP, TLyjFoww1L3N, xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'1\x9c\x14!\|\xabm\x98\x0cK\xa8\xe7'), chr(0b1000001 + 0o43) + chr(8761 - 8660) + chr(0b101000 + 0o73) + chr(111) + chr(7762 - 7662) + chr(3115 - 3014))(chr(3506 - 3389) + chr(0b111001 + 0o73) + chr(1490 - 1388) + chr(45) + '\x38')), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'9\x85\x1d'), '\144' + '\x65' + chr(0b1100011) + chr(3918 - 3807) + '\x64' + '\x65')(chr(117) + '\x74' + chr(102) + chr(0b10 + 0o53) + '\070')), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x9d\x04 T\xb1}\x9c?G\xaf'), chr(8131 - 8031) + chr(0b1100101) + '\143' + chr(4719 - 4608) + chr(0b111110 + 0o46) + chr(101))('\x75' + chr(116) + '\146' + chr(0b110 + 0o47) + chr(56))), None) return ds3d0f99cgFg(cuj9DsjDUyqP, TLyjFoww1L3N, xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b"6\x82\x1e-o\xa1\x7f\x8e'y\xb0\xfe["), chr(0b1100100) + '\145' + chr(3675 - 3576) + '\x6f' + chr(100) + chr(930 - 829))(chr(117) + '\164' + '\x66' + '\055' + chr(0b101110 + 0o12))), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'9\x85\x1d'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(8490 - 8389))(chr(11272 - 11155) + '\164' + chr(0b1001100 + 0o32) + chr(0b10010 + 0o33) + '\x38')), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\x9d\x04 T\xb1}\x9c?G\xaf'), chr(100) + chr(0b1100101) + chr(99) + chr(6425 - 6314) + chr(100) + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(1948 - 1903) + chr(56))), None)
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	divide	def divide(lhs, rhs): """Returns element-wise division of the input arrays with broadcasting. Equivalent to ``lhs / rhs`` and ``mx.nd.broadcast_div(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_div(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array in division. rhs : scalar or mxnet.ndarray.sparse.array Second array in division. The arrays to be divided. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise division of the input arrays. Examples -------- >>> x = (mx.nd.ones((2,3))*6).tostype('csr') >>> y = mx.nd.arange(2).reshape((2,1)) + 1 >>> z = mx.nd.arange(3) + 1 >>> x.asnumpy() array([[ 6., 6., 6.], [ 6., 6., 6.]], dtype=float32) >>> y.asnumpy() array([[ 1.], [ 2.]], dtype=float32) >>> z.asnumpy() array([ 1., 2., 3.], dtype=float32) >>> x/2 <NDArray 2x3 @cpu(0)> >>> (x/3).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> (x/y).asnumpy() array([[ 6., 6., 6.], [ 3., 3., 3.]], dtype=float32) >>> mx.nd.sparse.divide(x,y).asnumpy() array([[ 6., 6., 6.], [ 3., 3., 3.]], dtype=float32) >>> (x/z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> mx.nd.sprase.divide(x,z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> z = z.reshape((1,3)) >>> z.asnumpy() array([[ 1., 2., 3.]], dtype=float32) >>> (x/z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> mx.nd.sparse.divide(x,z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) """ # pylint: disable= no-member, protected-access if isinstance(lhs, NDArray) and isinstance(rhs, NDArray) and lhs.shape == rhs.shape: return _ufunc_helper( lhs, rhs, op.elemwise_div, operator.truediv, _internal._div_scalar, None) return _ufunc_helper( lhs, rhs, op.broadcast_div, operator.truediv, _internal._div_scalar, None)	python	def divide(lhs, rhs): """Returns element-wise division of the input arrays with broadcasting. Equivalent to ``lhs / rhs`` and ``mx.nd.broadcast_div(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_div(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array in division. rhs : scalar or mxnet.ndarray.sparse.array Second array in division. The arrays to be divided. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise division of the input arrays. Examples -------- >>> x = (mx.nd.ones((2,3))*6).tostype('csr') >>> y = mx.nd.arange(2).reshape((2,1)) + 1 >>> z = mx.nd.arange(3) + 1 >>> x.asnumpy() array([[ 6., 6., 6.], [ 6., 6., 6.]], dtype=float32) >>> y.asnumpy() array([[ 1.], [ 2.]], dtype=float32) >>> z.asnumpy() array([ 1., 2., 3.], dtype=float32) >>> x/2 <NDArray 2x3 @cpu(0)> >>> (x/3).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> (x/y).asnumpy() array([[ 6., 6., 6.], [ 3., 3., 3.]], dtype=float32) >>> mx.nd.sparse.divide(x,y).asnumpy() array([[ 6., 6., 6.], [ 3., 3., 3.]], dtype=float32) >>> (x/z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> mx.nd.sprase.divide(x,z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> z = z.reshape((1,3)) >>> z.asnumpy() array([[ 1., 2., 3.]], dtype=float32) >>> (x/z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> mx.nd.sparse.divide(x,z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) """ # pylint: disable= no-member, protected-access if isinstance(lhs, NDArray) and isinstance(rhs, NDArray) and lhs.shape == rhs.shape: return _ufunc_helper( lhs, rhs, op.elemwise_div, operator.truediv, _internal._div_scalar, None) return _ufunc_helper( lhs, rhs, op.broadcast_div, operator.truediv, _internal._div_scalar, None)	[ "def", "divide", "(", "lhs", ",", "rhs", ")", ":", "# pylint: disable= no-member, protected-access", "if", "isinstance", "(", "lhs", ",", "NDArray", ")", "and", "isinstance", "(", "rhs", ",", "NDArray", ")", "and", "lhs", ".", "shape", "==", "rhs", ".", "shape", ":", "return", "_ufunc_helper", "(", "lhs", ",", "rhs", ",", "op", ".", "elemwise_div", ",", "operator", ".", "truediv", ",", "_internal", ".", "_div_scalar", ",", "None", ")", "return", "_ufunc_helper", "(", "lhs", ",", "rhs", ",", "op", ".", "broadcast_div", ",", "operator", ".", "truediv", ",", "_internal", ".", "_div_scalar", ",", "None", ")" ]	Returns element-wise division of the input arrays with broadcasting. Equivalent to ``lhs / rhs`` and ``mx.nd.broadcast_div(lhs, rhs)`` when shapes of lhs and rhs do not match. If lhs.shape == rhs.shape, this is equivalent to ``mx.nd.elemwise_div(lhs, rhs)`` .. note:: If the corresponding dimensions of two arrays have the same size or one of them has size 1, then the arrays are broadcastable to a common shape. Parameters ---------- lhs : scalar or mxnet.ndarray.sparse.array First array in division. rhs : scalar or mxnet.ndarray.sparse.array Second array in division. The arrays to be divided. If ``lhs.shape != rhs.shape``, they must be broadcastable to a common shape. Returns ------- NDArray The element-wise division of the input arrays. Examples -------- >>> x = (mx.nd.ones((2,3))*6).tostype('csr') >>> y = mx.nd.arange(2).reshape((2,1)) + 1 >>> z = mx.nd.arange(3) + 1 >>> x.asnumpy() array([[ 6., 6., 6.], [ 6., 6., 6.]], dtype=float32) >>> y.asnumpy() array([[ 1.], [ 2.]], dtype=float32) >>> z.asnumpy() array([ 1., 2., 3.], dtype=float32) >>> x/2 <NDArray 2x3 @cpu(0)> >>> (x/3).asnumpy() array([[ 2., 2., 2.], [ 2., 2., 2.]], dtype=float32) >>> (x/y).asnumpy() array([[ 6., 6., 6.], [ 3., 3., 3.]], dtype=float32) >>> mx.nd.sparse.divide(x,y).asnumpy() array([[ 6., 6., 6.], [ 3., 3., 3.]], dtype=float32) >>> (x/z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> mx.nd.sprase.divide(x,z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> z = z.reshape((1,3)) >>> z.asnumpy() array([[ 1., 2., 3.]], dtype=float32) >>> (x/z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32) >>> mx.nd.sparse.divide(x,z).asnumpy() array([[ 6., 3., 2.], [ 6., 3., 2.]], dtype=float32)	[ "Returns", "element", "-", "wise", "division", "of", "the", "input", "arrays", "with", "broadcasting", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L1421-L1503	train	Returns an NDArray that is element - wise divided by the input arrays with broadcasting.	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(2142 - 2094) + chr(0b1101111) + chr(0b1001 + 0o50) + chr(0b110000) + chr(1793 - 1743), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(1855 - 1802) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b11100 + 0o123) + '\x35' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(274 - 220) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b1011 + 0o46) + '\066' + chr(0b110010 + 0o5), 0o10), ehT0Px3KOsy9('\060' + chr(2878 - 2767) + '\x32' + chr(49) + chr(0b110001 + 0o4), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1471 - 1423) + '\157' + '\x33' + chr(2685 - 2630) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(593 - 539) + '\x35', 50153 - 50145), ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + '\x32', 0o10), ehT0Px3KOsy9(chr(2259 - 2211) + chr(0b1101111) + '\x32' + chr(53) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(2690 - 2637) + chr(52), 46656 - 46648), ehT0Px3KOsy9(chr(1944 - 1896) + '\157' + chr(0b10101 + 0o35) + chr(0b100101 + 0o17) + chr(0b1011 + 0o54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(599 - 546) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1765 - 1714) + chr(2647 - 2593) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1001 - 953) + chr(0b1101111) + '\062' + '\065' + chr(241 - 192), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o60) + '\x31' + chr(1487 - 1439), 13458 - 13450), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(53) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b11000 + 0o30) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b101010 + 0o7) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + '\061' + '\063' + chr(0b110000), 64864 - 64856), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(467 - 418) + '\062' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2142 - 2093) + chr(155 - 103) + '\062', 0o10), ehT0Px3KOsy9(chr(1399 - 1351) + '\x6f' + '\062' + chr(1721 - 1670) + chr(1706 - 1654), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\x32' + chr(49) + chr(55), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(2275 - 2223) + chr(50), 54001 - 53993), ehT0Px3KOsy9('\x30' + chr(10784 - 10673) + chr(0b110010) + chr(0b101101 + 0o3) + '\063', 41841 - 41833), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b11100 + 0o26) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1670 - 1622) + '\x6f' + chr(0b110010) + chr(0b101 + 0o54) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(611 - 500) + chr(0b110010) + chr(1621 - 1566) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1481 - 1433) + chr(111) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(488 - 377) + chr(267 - 216) + chr(1472 - 1424), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(883 - 834) + chr(1110 - 1059) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b111100 + 0o63) + chr(0b10010 + 0o41) + chr(54) + chr(49), 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\061' + '\060' + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(643 - 592) + chr(51) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1010 - 959) + chr(0b110000 + 0o7), 23952 - 23944), ehT0Px3KOsy9(chr(1827 - 1779) + '\x6f' + '\x31' + chr(0b11110 + 0o27) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110111) + chr(49), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'l'), '\x64' + chr(0b101001 + 0o74) + '\x63' + chr(0b10011 + 0o134) + '\144' + chr(101))(chr(117) + '\x74' + chr(7062 - 6960) + chr(0b1 + 0o54) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def LD68aBifa9MM(cuj9DsjDUyqP, TLyjFoww1L3N): if PlSM16l2KDPD(cuj9DsjDUyqP, GdqFjMbtKL7s) and PlSM16l2KDPD(TLyjFoww1L3N, GdqFjMbtKL7s) and (xafqLlk3kkUe(cuj9DsjDUyqP, xafqLlk3kkUe(SXOLrMavuUCe(b',N\\\x11\xc1t\x90aZ\xcb\xce'), chr(0b0 + 0o144) + chr(101) + '\x63' + chr(0b11010 + 0o125) + '\144' + chr(101))('\165' + '\164' + chr(7592 - 7490) + chr(0b101101) + '\x38')) == xafqLlk3kkUe(TLyjFoww1L3N, xafqLlk3kkUe(SXOLrMavuUCe(b',N\\\x11\xc1t\x90aZ\xcb\xce'), '\x64' + '\145' + chr(1083 - 984) + chr(2076 - 1965) + chr(0b1100100) + chr(9710 - 9609))(chr(117) + chr(0b1110100) + '\x66' + chr(0b11010 + 0o23) + chr(302 - 246)))): return ds3d0f99cgFg(cuj9DsjDUyqP, TLyjFoww1L3N, xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b"'CL\x1e\x00\xe4`\x99jN\xc1\xda"), '\x64' + '\145' + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1001000 + 0o55) + chr(0b110110 + 0o76) + chr(157 - 55) + chr(0b101 + 0o50) + chr(0b11111 + 0o31))), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'6]\\\x16\x13\xe4e'), chr(0b1100100) + '\x65' + chr(0b1000011 + 0o40) + '\157' + '\144' + chr(0b1001001 + 0o34))(chr(117) + '\164' + chr(6435 - 6333) + chr(45) + chr(56))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1dK@\x05(\xfep\x9dYK\xda'), chr(0b101001 + 0o73) + '\x65' + chr(0b10011 + 0o120) + chr(111) + '\x64' + chr(0b101 + 0o140))('\165' + '\164' + '\x66' + chr(0b10100 + 0o31) + chr(0b111000))), None) return ds3d0f99cgFg(cuj9DsjDUyqP, TLyjFoww1L3N, xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b' ]F\x12\x13\xeer\x8fAu\xcc\xc5\xd1'), chr(100) + '\x65' + chr(9106 - 9007) + chr(111) + chr(0b1100100) + chr(101))(chr(7565 - 7448) + chr(116) + '\x66' + chr(1713 - 1668) + chr(1870 - 1814))), xafqLlk3kkUe(xJShi6yitBWy, xafqLlk3kkUe(SXOLrMavuUCe(b'6]\\\x16\x13\xe4e'), '\144' + chr(0b1001001 + 0o34) + chr(3325 - 3226) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(9400 - 9284) + '\146' + '\055' + '\070')), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1dK@\x05(\xfep\x9dYK\xda'), chr(0b10011 + 0o121) + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b111000 + 0o75) + chr(0b111010 + 0o72) + '\x66' + chr(1353 - 1308) + chr(0b10100 + 0o44))), None)
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	zeros	def zeros(stype, shape, ctx=None, dtype=None, kwargs): """Return a new array of given shape and type, filled with zeros. Parameters ---------- stype: string The storage type of the empty array, such as 'row_sparse', 'csr', etc shape : int or tuple of int The shape of the empty array ctx : Context, optional An optional device context (default is the current default context) dtype : str or numpy.dtype, optional An optional value type (default is `float32`) Returns ------- RowSparseNDArray or CSRNDArray A created array Examples -------- >>> mx.nd.sparse.zeros('csr', (1,2)) <CSRNDArray 1x2 @cpu(0)> >>> mx.nd.sparse.zeros('row_sparse', (1,2), ctx=mx.cpu(), dtype='float16').asnumpy() array([[ 0., 0.]], dtype=float16) """ # pylint: disable= no-member, protected-access if stype == 'default': return _zeros_ndarray(shape, ctx=ctx, dtype=dtype, kwargs) if ctx is None: ctx = current_context() dtype = mx_real_t if dtype is None else dtype if stype in ('row_sparse', 'csr'): aux_types = _STORAGE_AUX_TYPES[stype] else: raise ValueError("unknown storage type" + stype) out = _ndarray_cls(_new_alloc_handle(stype, shape, ctx, True, dtype, aux_types)) return _internal._zeros(shape=shape, ctx=ctx, dtype=dtype, out=out, **kwargs)	python	def zeros(stype, shape, ctx=None, dtype=None, kwargs): """Return a new array of given shape and type, filled with zeros. Parameters ---------- stype: string The storage type of the empty array, such as 'row_sparse', 'csr', etc shape : int or tuple of int The shape of the empty array ctx : Context, optional An optional device context (default is the current default context) dtype : str or numpy.dtype, optional An optional value type (default is `float32`) Returns ------- RowSparseNDArray or CSRNDArray A created array Examples -------- >>> mx.nd.sparse.zeros('csr', (1,2)) <CSRNDArray 1x2 @cpu(0)> >>> mx.nd.sparse.zeros('row_sparse', (1,2), ctx=mx.cpu(), dtype='float16').asnumpy() array([[ 0., 0.]], dtype=float16) """ # pylint: disable= no-member, protected-access if stype == 'default': return _zeros_ndarray(shape, ctx=ctx, dtype=dtype, kwargs) if ctx is None: ctx = current_context() dtype = mx_real_t if dtype is None else dtype if stype in ('row_sparse', 'csr'): aux_types = _STORAGE_AUX_TYPES[stype] else: raise ValueError("unknown storage type" + stype) out = _ndarray_cls(_new_alloc_handle(stype, shape, ctx, True, dtype, aux_types)) return _internal._zeros(shape=shape, ctx=ctx, dtype=dtype, out=out, **kwargs)	[ "def", "zeros", "(", "stype", ",", "shape", ",", "ctx", "=", "None", ",", "dtype", "=", "None", ",", "", "", "kwargs", ")", ":", "# pylint: disable= no-member, protected-access", "if", "stype", "==", "'default'", ":", "return", "_zeros_ndarray", "(", "shape", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ",", "", "", "kwargs", ")", "if", "ctx", "is", "None", ":", "ctx", "=", "current_context", "(", ")", "dtype", "=", "mx_real_t", "if", "dtype", "is", "None", "else", "dtype", "if", "stype", "in", "(", "'row_sparse'", ",", "'csr'", ")", ":", "aux_types", "=", "_STORAGE_AUX_TYPES", "[", "stype", "]", "else", ":", "raise", "ValueError", "(", "\"unknown storage type\"", "+", "stype", ")", "out", "=", "_ndarray_cls", "(", "_new_alloc_handle", "(", "stype", ",", "shape", ",", "ctx", ",", "True", ",", "dtype", ",", "aux_types", ")", ")", "return", "_internal", ".", "_zeros", "(", "shape", "=", "shape", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ",", "out", "=", "out", ",", "", "", "kwargs", ")" ]	Return a new array of given shape and type, filled with zeros. Parameters ---------- stype: string The storage type of the empty array, such as 'row_sparse', 'csr', etc shape : int or tuple of int The shape of the empty array ctx : Context, optional An optional device context (default is the current default context) dtype : str or numpy.dtype, optional An optional value type (default is `float32`) Returns ------- RowSparseNDArray or CSRNDArray A created array Examples -------- >>> mx.nd.sparse.zeros('csr', (1,2)) <CSRNDArray 1x2 @cpu(0)> >>> mx.nd.sparse.zeros('row_sparse', (1,2), ctx=mx.cpu(), dtype='float16').asnumpy() array([[ 0., 0.]], dtype=float16)	[ "Return", "a", "new", "array", "of", "given", "shape", "and", "type", "filled", "with", "zeros", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L1507-L1543	train	Return a new array of given shape and type filled with zeros.	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(2363 - 2252) + '\061' + '\x35' + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o54) + '\067' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(1529 - 1476) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + '\x32' + '\x36' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(51) + chr(0b101100 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6078 - 5967) + '\061' + chr(0b101110 + 0o2) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(1859 - 1810) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + '\x32' + '\065' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1152 - 1101) + chr(0b11110 + 0o27) + chr(0b10001 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\x32' + '\x37' + '\067', 21916 - 21908), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + chr(50) + '\x37' + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(5496 - 5385) + '\x33' + '\063' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\061' + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(50) + chr(0b110111), 9310 - 9302), ehT0Px3KOsy9(chr(48) + '\157' + '\063', 0b1000), ehT0Px3KOsy9(chr(622 - 574) + chr(0b1101111) + chr(49) + '\062' + chr(0b101111 + 0o1), 599 - 591), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b110000 + 0o77) + chr(0b110011) + chr(0b110101) + chr(1938 - 1884), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2939 - 2828) + chr(0b110011) + chr(2245 - 2196) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110010) + chr(54), 13690 - 13682), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + chr(612 - 561) + chr(52) + chr(90 - 39), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(8379 - 8268) + chr(0b110011) + chr(0b110010) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(95 - 40) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x35', 11275 - 11267), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(51) + chr(0b100101 + 0o16) + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\060' + chr(0b110100 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12208 - 12097) + chr(2076 - 2023) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(3769 - 3658) + chr(51) + chr(0b110100) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110011) + chr(0b11 + 0o62) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(4155 - 4044) + chr(0b110010 + 0o4) + chr(0b110001 + 0o2), 42625 - 42617), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110100) + chr(1680 - 1627), 21261 - 21253), ehT0Px3KOsy9(chr(1941 - 1893) + '\x6f' + chr(0b101110 + 0o3) + '\067' + chr(2076 - 2027), ord("\x08")), ehT0Px3KOsy9(chr(1156 - 1108) + '\157' + chr(748 - 699) + chr(0b101100 + 0o11) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1059 - 1011) + chr(0b11101 + 0o122) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(500 - 448) + chr(0b10100 + 0o36), 20895 - 20887), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(50) + chr(2173 - 2125) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10011 + 0o36) + '\067' + chr(54), 54283 - 54275), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(2019 - 1970) + '\x32' + chr(1599 - 1545), 0o10), ehT0Px3KOsy9(chr(780 - 732) + '\x6f' + chr(0b110 + 0o55) + chr(1461 - 1413) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2187 - 2137) + chr(0b110000) + '\066', 16855 - 16847), ehT0Px3KOsy9(chr(1996 - 1948) + chr(11868 - 11757) + chr(0b101111 + 0o3) + chr(0b110011) + chr(0b110010), 17265 - 17257)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'@'), chr(100) + chr(0b1010010 + 0o23) + chr(7607 - 7508) + chr(111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + '\146' + chr(1869 - 1824) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def _rHwoyvtca4E(x6ekJyEqYIT6, nauYfLglTpcb, oM3jLo753XfX=None, jSV9IKnemH7K=None, *M8EIoTs2GJXE): if x6ekJyEqYIT6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\n\x99O\xd6+>'), chr(0b1000000 + 0o44) + chr(8830 - 8729) + '\143' + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + chr(0b1001111 + 0o27) + chr(0b101101) + '\070'): return Ivr1Ur3Rl3U1(nauYfLglTpcb, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K, *M8EIoTs2GJXE) if oM3jLo753XfX is None: oM3jLo753XfX = XCj8K5DCp8y0() jSV9IKnemH7K = JsaW5JBGnibT if jSV9IKnemH7K is None else jSV9IKnemH7K if x6ekJyEqYIT6 in (xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\x93^\xe8,7+\xdf\x9a\xda'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\r\x8f['), chr(100) + chr(1396 - 1295) + '\143' + chr(0b1000010 + 0o55) + '\x64' + chr(0b1100101))(chr(6789 - 6672) + chr(4569 - 4453) + chr(0b1010001 + 0o25) + chr(0b101101) + chr(0b111000))): VYjK46ifZw8X = KxWSNwF4Okjt[x6ekJyEqYIT6] else: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\x92B\xd900$\x8d\x9a\xcb\xd0\xadpfp\x9a\xb7\xe6\x86'), chr(0b1100100) + '\145' + '\143' + chr(0b1101111) + chr(0b11100 + 0o110) + chr(0b1001000 + 0o35))(chr(9747 - 9630) + chr(0b1110100) + chr(0b10110 + 0o120) + chr(0b101101) + chr(1551 - 1495)) + x6ekJyEqYIT6) UkrMp_I0RDmo = i7ArCBVUNQA5(dH4mZSHhFjwi(x6ekJyEqYIT6, nauYfLglTpcb, oM3jLo753XfX, ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b101000 + 0o11), 37800 - 37792), jSV9IKnemH7K, VYjK46ifZw8X)) return xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'1\x86L\xc504'), chr(7654 - 7554) + '\x65' + chr(0b10110 + 0o115) + chr(111) + chr(0b1100000 + 0o4) + chr(101))(chr(0b1011010 + 0o33) + chr(0b1100100 + 0o20) + chr(0b1100110) + '\x2d' + chr(0b111000)))(shape=nauYfLglTpcb, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K, out=UkrMp_I0RDmo, **M8EIoTs2GJXE)
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	empty	def empty(stype, shape, ctx=None, dtype=None): """Returns a new array of given shape and type, without initializing entries. Parameters ---------- stype: string The storage type of the empty array, such as 'row_sparse', 'csr', etc shape : int or tuple of int The shape of the empty array. ctx : Context, optional An optional device context (default is the current default context). dtype : str or numpy.dtype, optional An optional value type (default is `float32`). Returns ------- CSRNDArray or RowSparseNDArray A created array. """ if isinstance(shape, int): shape = (shape, ) if ctx is None: ctx = current_context() if dtype is None: dtype = mx_real_t assert(stype is not None) if stype in ('csr', 'row_sparse'): return zeros(stype, shape, ctx=ctx, dtype=dtype) else: raise Exception("unknown stype : " + str(stype))	python	def empty(stype, shape, ctx=None, dtype=None): """Returns a new array of given shape and type, without initializing entries. Parameters ---------- stype: string The storage type of the empty array, such as 'row_sparse', 'csr', etc shape : int or tuple of int The shape of the empty array. ctx : Context, optional An optional device context (default is the current default context). dtype : str or numpy.dtype, optional An optional value type (default is `float32`). Returns ------- CSRNDArray or RowSparseNDArray A created array. """ if isinstance(shape, int): shape = (shape, ) if ctx is None: ctx = current_context() if dtype is None: dtype = mx_real_t assert(stype is not None) if stype in ('csr', 'row_sparse'): return zeros(stype, shape, ctx=ctx, dtype=dtype) else: raise Exception("unknown stype : " + str(stype))	[ "def", "empty", "(", "stype", ",", "shape", ",", "ctx", "=", "None", ",", "dtype", "=", "None", ")", ":", "if", "isinstance", "(", "shape", ",", "int", ")", ":", "shape", "=", "(", "shape", ",", ")", "if", "ctx", "is", "None", ":", "ctx", "=", "current_context", "(", ")", "if", "dtype", "is", "None", ":", "dtype", "=", "mx_real_t", "assert", "(", "stype", "is", "not", "None", ")", "if", "stype", "in", "(", "'csr'", ",", "'row_sparse'", ")", ":", "return", "zeros", "(", "stype", ",", "shape", ",", "ctx", "=", "ctx", ",", "dtype", "=", "dtype", ")", "else", ":", "raise", "Exception", "(", "\"unknown stype : \"", "+", "str", "(", "stype", ")", ")" ]	Returns a new array of given shape and type, without initializing entries. Parameters ---------- stype: string The storage type of the empty array, such as 'row_sparse', 'csr', etc shape : int or tuple of int The shape of the empty array. ctx : Context, optional An optional device context (default is the current default context). dtype : str or numpy.dtype, optional An optional value type (default is `float32`). Returns ------- CSRNDArray or RowSparseNDArray A created array.	[ "Returns", "a", "new", "array", "of", "given", "shape", "and", "type", "without", "initializing", "entries", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L1547-L1576	train	Returns a new array of given shape and type with initial entries initialized.	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(1776 - 1728) + chr(0b1000000 + 0o57) + chr(50) + '\x37' + chr(1560 - 1508), 60973 - 60965), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(697 - 647) + chr(0b11111 + 0o22) + chr(0b0 + 0o64), 0b1000), ehT0Px3KOsy9(chr(1945 - 1897) + chr(0b1101111) + chr(0b110011) + chr(51) + chr(0b11100 + 0o24), 36167 - 36159), ehT0Px3KOsy9(chr(1162 - 1114) + '\x6f' + '\x35' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(7553 - 7442) + '\063' + chr(0b110001) + chr(0b101 + 0o62), 0o10), ehT0Px3KOsy9('\x30' + chr(4156 - 4045) + '\067' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3932 - 3821) + chr(2247 - 2197) + '\067' + chr(0b1110 + 0o42), 47870 - 47862), ehT0Px3KOsy9('\060' + '\x6f' + chr(2220 - 2171) + chr(1579 - 1527) + chr(0b101110 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\062' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3446 - 3335) + chr(51) + '\x37' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(10962 - 10851) + '\063' + chr(0b110100) + chr(406 - 352), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2039 - 1989) + chr(0b110011) + chr(1784 - 1730), 0o10), ehT0Px3KOsy9(chr(1529 - 1481) + chr(0b100100 + 0o113) + chr(0b110001 + 0o2) + '\060' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(1063 - 1012) + chr(0b110 + 0o52) + chr(1680 - 1626), ord("\x08")), ehT0Px3KOsy9(chr(2045 - 1997) + chr(0b1100111 + 0o10) + '\x31' + chr(52) + chr(722 - 668), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(3824 - 3713) + chr(0b110011) + chr(0b100101 + 0o17) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8287 - 8176) + chr(1723 - 1669) + '\062', 15485 - 15477), ehT0Px3KOsy9(chr(1315 - 1267) + chr(111) + chr(2196 - 2146) + chr(0b110011) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4068 - 3957) + chr(51) + chr(0b110 + 0o55) + chr(0b100 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(53) + chr(52), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(52) + chr(48), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(1309 - 1258) + chr(562 - 510) + chr(0b11111 + 0o23), 0o10), ehT0Px3KOsy9(chr(790 - 742) + chr(0b1011110 + 0o21) + chr(2332 - 2279) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5442 - 5331) + '\x31' + chr(49) + chr(0b110010), 26399 - 26391), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\x36' + '\067', 13439 - 13431), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110110) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o53) + '\x33' + chr(0b110010), 62061 - 62053), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(2020 - 1967), 16428 - 16420), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110110 + 0o0) + chr(0b11001 + 0o31), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b11000 + 0o32) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\067' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(9190 - 9079) + chr(0b10 + 0o60) + '\x34' + '\x37', 52828 - 52820), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2096 - 2045) + chr(0b110111) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o23) + '\065' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(401 - 351) + chr(55) + chr(697 - 647), 0o10), ehT0Px3KOsy9(chr(473 - 425) + chr(111) + '\061' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110111) + '\060', 28008 - 28000), ehT0Px3KOsy9('\060' + chr(111) + chr(187 - 136) + chr(139 - 88) + chr(214 - 163), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b11010 + 0o125) + chr(0b110101) + chr(1500 - 1452), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x92'), chr(0b1100000 + 0o4) + '\145' + '\143' + chr(2112 - 2001) + chr(0b1100000 + 0o4) + chr(935 - 834))(chr(7317 - 7200) + '\164' + chr(0b1100110) + chr(1721 - 1676) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def QxT4AUiPWdm4(x6ekJyEqYIT6, nauYfLglTpcb, oM3jLo753XfX=None, jSV9IKnemH7K=None): if PlSM16l2KDPD(nauYfLglTpcb, ehT0Px3KOsy9): nauYfLglTpcb = (nauYfLglTpcb,) if oM3jLo753XfX is None: oM3jLo753XfX = XCj8K5DCp8y0() if jSV9IKnemH7K is None: jSV9IKnemH7K = JsaW5JBGnibT assert x6ekJyEqYIT6 is not None if x6ekJyEqYIT6 in (xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xff\xaa'), '\x64' + chr(0b100000 + 0o105) + chr(99) + '\157' + chr(8016 - 7916) + '\145')(chr(0b1110101) + chr(116) + '\146' + chr(0b10000 + 0o35) + chr(1264 - 1208)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xe3\xafs\xbcN\xd9\x11d\x9b'), chr(0b100111 + 0o75) + '\x65' + chr(0b1100011) + chr(111) + chr(100) + chr(0b100111 + 0o76))(chr(9422 - 9305) + chr(0b1001100 + 0o50) + chr(0b1100110) + chr(0b10001 + 0o34) + '\x38')): return _rHwoyvtca4E(x6ekJyEqYIT6, nauYfLglTpcb, ctx=oM3jLo753XfX, dtype=jSV9IKnemH7K) else: raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xe2\xb3B\xa0I\xd6Cd\x8a\x9f\xee\xa6\xe6\\\xc0'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1011001 + 0o14))('\x75' + chr(0b101100 + 0o110) + chr(6007 - 5905) + chr(0b101 + 0o50) + chr(0b111000)) + M8_cKLkHVB2V(x6ekJyEqYIT6))
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	array	def array(source_array, ctx=None, dtype=None): """Creates a sparse array from any object exposing the array interface. Parameters ---------- source_array : RowSparseNDArray, CSRNDArray or scipy.sparse.csr.csr_matrix The source sparse array ctx : Context, optional The default context is ``source_array.context`` if ``source_array`` is an NDArray. \ The current default context otherwise. dtype : str or numpy.dtype, optional The data type of the output array. The default dtype is ``source_array.dtype`` if `source_array` is an `NDArray`, `numpy.ndarray` or `scipy.sparse.csr.csr_matrix`, \ `float32` otherwise. Returns ------- RowSparseNDArray or CSRNDArray An array with the same contents as the `source_array`. Examples -------- >>> import scipy.sparse as spsp >>> csr = spsp.csr_matrix((2, 100)) >>> mx.nd.sparse.array(csr) <CSRNDArray 2x100 @cpu(0)> >>> mx.nd.sparse.array(mx.nd.sparse.zeros('csr', (3, 2))) <CSRNDArray 3x2 @cpu(0)> >>> mx.nd.sparse.array(mx.nd.sparse.zeros('row_sparse', (3, 2))) <RowSparseNDArray 3x2 @cpu(0)> """ ctx = current_context() if ctx is None else ctx if isinstance(source_array, NDArray): assert(source_array.stype != 'default'), \ "Please use `tostype` to create RowSparseNDArray or CSRNDArray from an NDArray" # prepare dtype and ctx based on source_array, if not provided dtype = _prepare_default_dtype(source_array, dtype) # if both dtype and ctx are different from source_array, we cannot copy directly if source_array.dtype != dtype and source_array.context != ctx: arr = empty(source_array.stype, source_array.shape, dtype=dtype) arr[:] = source_array arr = arr.as_in_context(ctx) else: arr = empty(source_array.stype, source_array.shape, dtype=dtype, ctx=ctx) arr[:] = source_array return arr elif spsp and isinstance(source_array, spsp.csr.csr_matrix): # TODO(haibin) implement `_sync_copy_from` with scipy csr object to reduce a copy # preprocess scipy csr to canonical form csr = source_array.sorted_indices() csr.sum_duplicates() dtype = _prepare_default_dtype(source_array, dtype) return csr_matrix((csr.data, csr.indices, csr.indptr), shape=csr.shape, \ dtype=dtype, ctx=ctx) elif isinstance(source_array, (np.ndarray, np.generic)): raise ValueError("Please use mx.nd.array to create an NDArray with source_array of type ", type(source_array)) else: raise ValueError("Unexpected source_array type: ", type(source_array))	python	def array(source_array, ctx=None, dtype=None): """Creates a sparse array from any object exposing the array interface. Parameters ---------- source_array : RowSparseNDArray, CSRNDArray or scipy.sparse.csr.csr_matrix The source sparse array ctx : Context, optional The default context is ``source_array.context`` if ``source_array`` is an NDArray. \ The current default context otherwise. dtype : str or numpy.dtype, optional The data type of the output array. The default dtype is ``source_array.dtype`` if `source_array` is an `NDArray`, `numpy.ndarray` or `scipy.sparse.csr.csr_matrix`, \ `float32` otherwise. Returns ------- RowSparseNDArray or CSRNDArray An array with the same contents as the `source_array`. Examples -------- >>> import scipy.sparse as spsp >>> csr = spsp.csr_matrix((2, 100)) >>> mx.nd.sparse.array(csr) <CSRNDArray 2x100 @cpu(0)> >>> mx.nd.sparse.array(mx.nd.sparse.zeros('csr', (3, 2))) <CSRNDArray 3x2 @cpu(0)> >>> mx.nd.sparse.array(mx.nd.sparse.zeros('row_sparse', (3, 2))) <RowSparseNDArray 3x2 @cpu(0)> """ ctx = current_context() if ctx is None else ctx if isinstance(source_array, NDArray): assert(source_array.stype != 'default'), \ "Please use `tostype` to create RowSparseNDArray or CSRNDArray from an NDArray" # prepare dtype and ctx based on source_array, if not provided dtype = _prepare_default_dtype(source_array, dtype) # if both dtype and ctx are different from source_array, we cannot copy directly if source_array.dtype != dtype and source_array.context != ctx: arr = empty(source_array.stype, source_array.shape, dtype=dtype) arr[:] = source_array arr = arr.as_in_context(ctx) else: arr = empty(source_array.stype, source_array.shape, dtype=dtype, ctx=ctx) arr[:] = source_array return arr elif spsp and isinstance(source_array, spsp.csr.csr_matrix): # TODO(haibin) implement `_sync_copy_from` with scipy csr object to reduce a copy # preprocess scipy csr to canonical form csr = source_array.sorted_indices() csr.sum_duplicates() dtype = _prepare_default_dtype(source_array, dtype) return csr_matrix((csr.data, csr.indices, csr.indptr), shape=csr.shape, \ dtype=dtype, ctx=ctx) elif isinstance(source_array, (np.ndarray, np.generic)): raise ValueError("Please use mx.nd.array to create an NDArray with source_array of type ", type(source_array)) else: raise ValueError("Unexpected source_array type: ", type(source_array))	[ "def", "array", "(", "source_array", ",", "ctx", "=", "None", ",", "dtype", "=", "None", ")", ":", "ctx", "=", "current_context", "(", ")", "if", "ctx", "is", "None", "else", "ctx", "if", "isinstance", "(", "source_array", ",", "NDArray", ")", ":", "assert", "(", "source_array", ".", "stype", "!=", "'default'", ")", ",", "\"Please use `tostype` to create RowSparseNDArray or CSRNDArray from an NDArray\"", "# prepare dtype and ctx based on source_array, if not provided", "dtype", "=", "_prepare_default_dtype", "(", "source_array", ",", "dtype", ")", "# if both dtype and ctx are different from source_array, we cannot copy directly", "if", "source_array", ".", "dtype", "!=", "dtype", "and", "source_array", ".", "context", "!=", "ctx", ":", "arr", "=", "empty", "(", "source_array", ".", "stype", ",", "source_array", ".", "shape", ",", "dtype", "=", "dtype", ")", "arr", "[", ":", "]", "=", "source_array", "arr", "=", "arr", ".", "as_in_context", "(", "ctx", ")", "else", ":", "arr", "=", "empty", "(", "source_array", ".", "stype", ",", "source_array", ".", "shape", ",", "dtype", "=", "dtype", ",", "ctx", "=", "ctx", ")", "arr", "[", ":", "]", "=", "source_array", "return", "arr", "elif", "spsp", "and", "isinstance", "(", "source_array", ",", "spsp", ".", "csr", ".", "csr_matrix", ")", ":", "# TODO(haibin) implement `_sync_copy_from` with scipy csr object to reduce a copy", "# preprocess scipy csr to canonical form", "csr", "=", "source_array", ".", "sorted_indices", "(", ")", "csr", ".", "sum_duplicates", "(", ")", "dtype", "=", "_prepare_default_dtype", "(", "source_array", ",", "dtype", ")", "return", "csr_matrix", "(", "(", "csr", ".", "data", ",", "csr", ".", "indices", ",", "csr", ".", "indptr", ")", ",", "shape", "=", "csr", ".", "shape", ",", "dtype", "=", "dtype", ",", "ctx", "=", "ctx", ")", "elif", "isinstance", "(", "source_array", ",", "(", "np", ".", "ndarray", ",", "np", ".", "generic", ")", ")", ":", "raise", "ValueError", "(", "\"Please use mx.nd.array to create an NDArray with source_array of type \"", ",", "type", "(", "source_array", ")", ")", "else", ":", "raise", "ValueError", "(", "\"Unexpected source_array type: \"", ",", "type", "(", "source_array", ")", ")" ]	Creates a sparse array from any object exposing the array interface. Parameters ---------- source_array : RowSparseNDArray, CSRNDArray or scipy.sparse.csr.csr_matrix The source sparse array ctx : Context, optional The default context is ``source_array.context`` if ``source_array`` is an NDArray. \ The current default context otherwise. dtype : str or numpy.dtype, optional The data type of the output array. The default dtype is ``source_array.dtype`` if `source_array` is an `NDArray`, `numpy.ndarray` or `scipy.sparse.csr.csr_matrix`, \ `float32` otherwise. Returns ------- RowSparseNDArray or CSRNDArray An array with the same contents as the `source_array`. Examples -------- >>> import scipy.sparse as spsp >>> csr = spsp.csr_matrix((2, 100)) >>> mx.nd.sparse.array(csr) <CSRNDArray 2x100 @cpu(0)> >>> mx.nd.sparse.array(mx.nd.sparse.zeros('csr', (3, 2))) <CSRNDArray 3x2 @cpu(0)> >>> mx.nd.sparse.array(mx.nd.sparse.zeros('row_sparse', (3, 2))) <RowSparseNDArray 3x2 @cpu(0)>	[ "Creates", "a", "sparse", "array", "from", "any", "object", "exposing", "the", "array", "interface", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L1579-L1637	train	Creates a sparse array from any object exposing the array interface.	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(0b10001 + 0o37) + '\x6f' + chr(0b110 + 0o54) + '\064' + chr(0b110111), 64029 - 64021), ehT0Px3KOsy9(chr(815 - 767) + chr(111) + chr(0b100010 + 0o22) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11110 + 0o24) + '\064' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\067' + chr(48), 30819 - 30811), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101 + 0o54) + '\x32' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(604 - 554) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(49) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(653 - 604) + chr(947 - 897) + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x37' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(49) + chr(2616 - 2564), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b101101 + 0o4) + chr(293 - 240) + '\062', 0b1000), ehT0Px3KOsy9(chr(1236 - 1188) + chr(2219 - 2108) + chr(50) + chr(53) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(51) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2271 - 2221) + chr(0b110011 + 0o4) + chr(0b100101 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110 + 0o53) + chr(0b10001 + 0o40) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(0b10011 + 0o41) + chr(0b101101 + 0o5), 34396 - 34388), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(49) + chr(0b101100 + 0o6) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110 + 0o52) + chr(0b100110 + 0o13), 0o10), ehT0Px3KOsy9(chr(1686 - 1638) + '\x6f' + '\x34', 0o10), ehT0Px3KOsy9(chr(1496 - 1448) + chr(111) + chr(51) + chr(2297 - 2244) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x34' + chr(52), 35377 - 35369), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(50) + chr(53) + chr(1542 - 1490), ord("\x08")), ehT0Px3KOsy9(chr(829 - 781) + chr(0b1101111) + chr(0b1010 + 0o47) + '\061' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110011) + chr(0b1001 + 0o47) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101101 + 0o102) + chr(2973 - 2918) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b111 + 0o52) + '\061' + chr(48), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(8744 - 8633) + chr(0b110001) + chr(49) + chr(421 - 372), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101011 + 0o4) + chr(0b101111 + 0o10) + chr(0b110000), 17254 - 17246), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1791 - 1743) + chr(9968 - 9857) + chr(51) + '\x37' + chr(913 - 858), 51854 - 51846), ehT0Px3KOsy9(chr(1047 - 999) + chr(4647 - 4536) + '\063' + '\067' + chr(51), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x31' + chr(0b0 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1000111 + 0o50) + chr(0b110011) + '\x36' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(2282 - 2234) + chr(0b111 + 0o150) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b100111 + 0o12) + chr(0b11001 + 0o34), 39611 - 39603), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1019 - 969) + '\064' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1398 - 1349) + '\065' + chr(0b11 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1085 - 1034) + chr(0b110011) + '\061', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(1950 - 1902), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), chr(100) + chr(101) + chr(99) + '\157' + '\144' + chr(968 - 867))(chr(2068 - 1951) + '\x74' + '\x66' + chr(0b101101) + chr(2619 - 2563)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def B0ePDhpqxN5n(RYfxCklHRUIZ, oM3jLo753XfX=None, jSV9IKnemH7K=None): oM3jLo753XfX = XCj8K5DCp8y0() if oM3jLo753XfX is None else oM3jLo753XfX if PlSM16l2KDPD(RYfxCklHRUIZ, GdqFjMbtKL7s): assert xafqLlk3kkUe(RYfxCklHRUIZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4R\xdc\xc84'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(6774 - 6663) + chr(3769 - 3669) + chr(189 - 88))(chr(0b1110101) + chr(5090 - 4974) + chr(7982 - 7880) + '\x2d' + '\x38')) != xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3C\xc3\xd9$9\xf8'), '\144' + chr(0b1100101) + chr(99) + chr(10926 - 10815) + '\x64' + chr(9183 - 9082))(chr(0b1100001 + 0o24) + '\164' + '\146' + chr(439 - 394) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7J\xc0\xd9"0\xac$\x88\xee\xacp\x1e\xc7\xac\xce1R2!$\x98\x8b\x8c-\xb0X)=]\xf4\xad\x94=\xa5q\xac\xd1\x1a\xbc\xe9b\xe4\xca#4\xf5q\x94\xf9\xacS9\xfa\x91\xfe\tP% }\xcc\x82\xde!\xaf\x1d)\'\x18\x9a\xbb\xba8\x84`\xb4'), chr(2571 - 2471) + chr(0b11100 + 0o111) + chr(0b1101 + 0o126) + chr(0b1101111) + chr(100) + chr(101))(chr(0b111110 + 0o67) + chr(0b1110100) + chr(0b10111 + 0o117) + chr(0b101101) + chr(56)) jSV9IKnemH7K = kPPYRHvTFvTj(RYfxCklHRUIZ, jSV9IKnemH7K) if xafqLlk3kkUe(RYfxCklHRUIZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdu\xf3\x81\x18\x1e\xe24\x96\xc3\xbb['), chr(1231 - 1131) + chr(101) + chr(0b101000 + 0o73) + chr(5957 - 5846) + chr(0b1000011 + 0o41) + '\x65')(chr(2005 - 1888) + chr(0b1110001 + 0o3) + '\146' + chr(45) + chr(0b100001 + 0o27))) != jSV9IKnemH7K and xafqLlk3kkUe(RYfxCklHRUIZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4I\xcb\xcc4-\xf8'), chr(0b1100100) + chr(101) + chr(0b1000110 + 0o35) + chr(1892 - 1781) + chr(100) + '\x65')(chr(117) + chr(7846 - 7730) + chr(102) + '\055' + chr(56))) != oM3jLo753XfX: ZxkNvNvuRNy5 = QxT4AUiPWdm4(RYfxCklHRUIZ.stype, RYfxCklHRUIZ.nauYfLglTpcb, dtype=jSV9IKnemH7K) ZxkNvNvuRNy5[:] = RYfxCklHRUIZ ZxkNvNvuRNy5 = ZxkNvNvuRNy5.as_in_context(oM3jLo753XfX) else: ZxkNvNvuRNy5 = QxT4AUiPWdm4(RYfxCklHRUIZ.stype, RYfxCklHRUIZ.nauYfLglTpcb, dtype=jSV9IKnemH7K, ctx=oM3jLo753XfX) ZxkNvNvuRNy5[:] = RYfxCklHRUIZ return ZxkNvNvuRNy5 elif ja04wlJz6Qus and PlSM16l2KDPD(RYfxCklHRUIZ, xafqLlk3kkUe(ja04wlJz6Qus.csr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4U\xd7\xe7<4\xf8#\x92\xf3'), '\x64' + chr(101) + chr(0b1010001 + 0o22) + chr(0b101110 + 0o101) + chr(4587 - 4487) + chr(0b1100101))('\x75' + '\x74' + chr(102) + '\055' + chr(56)))): mn3aa_XdWyYO = RYfxCklHRUIZ.sorted_indices() xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4S\xc8\xe75 \xfc=\x92\xe8\xedd\x0f\xdb'), '\x64' + '\x65' + '\143' + '\x6f' + chr(0b110100 + 0o60) + '\145')(chr(0b10111 + 0o136) + '\164' + chr(102) + '\055' + '\070'))() jSV9IKnemH7K = kPPYRHvTFvTj(RYfxCklHRUIZ, jSV9IKnemH7K) return MEpUIUzoj5Or((xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2j\xcb\xd2!c\xc8g\x9e\xed\xcaX'), chr(0b10 + 0o142) + chr(6743 - 6642) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100001 + 0o4))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + '\x38')), xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7o\xc6\xd70\r\xc9\x1f\x97\xbe\xdcg'), chr(0b100000 + 0o104) + '\145' + chr(758 - 659) + chr(4905 - 4794) + chr(3343 - 3243) + chr(101))(chr(0b111011 + 0o72) + chr(12715 - 12599) + '\x66' + chr(0b101100 + 0o1) + chr(0b0 + 0o70))), xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b"\xceH\xc1\xc8%'"), chr(0b1100100) + '\145' + chr(0b1000110 + 0o35) + chr(0b1000000 + 0o57) + '\144' + '\145')('\165' + chr(408 - 292) + chr(0b1001110 + 0o30) + chr(874 - 829) + '\x38'))), shape=xafqLlk3kkUe(mn3aa_XdWyYO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9G\xd0\xe17\x19\xeb=\xaf\xfb\xefr'), chr(0b1100100) + '\145' + chr(0b1001 + 0o132) + chr(0b110 + 0o151) + chr(100) + chr(8487 - 8386))('\165' + chr(0b101010 + 0o112) + chr(0b1000111 + 0o37) + chr(715 - 670) + chr(0b111000))), dtype=jSV9IKnemH7K, ctx=oM3jLo753XfX) elif PlSM16l2KDPD(RYfxCklHRUIZ, (xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9B\xc4\xca#4\xf5'), chr(0b110100 + 0o60) + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(5754 - 5637) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(2860 - 2804))), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0C\xcb\xdd#<\xef'), chr(2254 - 2154) + chr(0b11101 + 0o110) + chr(0b100010 + 0o101) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(0b111000))))): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7J\xc0\xd9"0\xac$\x88\xee\xac}\x12\x86\xb1\xdefC%3e\x95\xc4\xd8!\xe2^:,Y\xa0\x9a\xdb+\x98!\x83\xe7(\xab\xd5G\xdc\x98&<\xf89\xdb\xf8\xe3e\x18\xcb\xba\xe5)P% }\xcc\x8b\xcan\xb6D8,\x18'), chr(100) + chr(7172 - 7071) + chr(8593 - 8494) + chr(111) + '\144' + chr(0b1010011 + 0o22))(chr(0b1011111 + 0o26) + chr(0b1111 + 0o145) + chr(102) + chr(1058 - 1013) + chr(0b1010 + 0o56)), wmQmyeWBmUpv(RYfxCklHRUIZ)) else: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2H\xc0\xc0!0\xef%\x9e\xef\xacc\x05\xdd\xad\xd9-}63v\x8d\x9d\x8c:\xbbM-s\x18'), chr(0b1100100) + chr(0b111010 + 0o53) + chr(99) + '\157' + chr(0b1100100) + chr(101))(chr(0b111110 + 0o67) + chr(0b111010 + 0o72) + chr(102) + chr(0b101100 + 0o1) + chr(56)), wmQmyeWBmUpv(RYfxCklHRUIZ))
apache/incubator-mxnet	python/mxnet/ndarray/sparse.py	BaseSparseNDArray._aux_type	def _aux_type(self, i): """Data-type of the array's ith aux data. Returns ------- numpy.dtype This BaseSparseNDArray's aux data type. """ aux_type = ctypes.c_int() check_call(_LIB.MXNDArrayGetAuxType(self.handle, i, ctypes.byref(aux_type))) return _DTYPE_MX_TO_NP[aux_type.value]	python	def _aux_type(self, i): """Data-type of the array's ith aux data. Returns ------- numpy.dtype This BaseSparseNDArray's aux data type. """ aux_type = ctypes.c_int() check_call(_LIB.MXNDArrayGetAuxType(self.handle, i, ctypes.byref(aux_type))) return _DTYPE_MX_TO_NP[aux_type.value]	[ "def", "_aux_type", "(", "self", ",", "i", ")", ":", "aux_type", "=", "ctypes", ".", "c_int", "(", ")", "check_call", "(", "_LIB", ".", "MXNDArrayGetAuxType", "(", "self", ".", "handle", ",", "i", ",", "ctypes", ".", "byref", "(", "aux_type", ")", ")", ")", "return", "_DTYPE_MX_TO_NP", "[", "aux_type", ".", "value", "]" ]	Data-type of the array's ith aux data. Returns ------- numpy.dtype This BaseSparseNDArray's aux data type.	[ "Data", "-", "type", "of", "the", "array", "s", "ith", "aux", "data", "." ]	1af29e9c060a4c7d60eeaacba32afdb9a7775ba7	https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/sparse.py#L164-L174	train	Data - type of the array s ith aux data. Returns ------- numpy. dtype This BaseSparseNDArray s aux data type.	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' + '\062' + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2270 - 2221) + '\x36' + chr(1061 - 1011), 6912 - 6904), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1951 - 1902) + '\x34' + chr(0b110000), 25301 - 25293), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b111 + 0o52) + chr(695 - 646) + '\x34', 40127 - 40119), ehT0Px3KOsy9('\060' + chr(111) + chr(2153 - 2102) + chr(1388 - 1335) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b100011 + 0o16) + chr(0b10010 + 0o37), 62323 - 62315), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b110010) + chr(0b101011 + 0o6) + chr(0b110111), 25853 - 25845), ehT0Px3KOsy9(chr(1065 - 1017) + '\x6f' + chr(307 - 256) + '\x34' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110011) + chr(1642 - 1588), 23658 - 23650), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + '\x32' + chr(0b110000) + '\062', 53119 - 53111), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(51) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2371 - 2322) + chr(523 - 469), 0o10), ehT0Px3KOsy9(chr(701 - 653) + chr(612 - 501) + '\x33' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o54) + chr(53) + chr(52), 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110000) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(48) + chr(53), 0b1000), ehT0Px3KOsy9(chr(2272 - 2224) + chr(111) + chr(0b110011) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1101 - 1053) + chr(0b1101111) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + chr(2261 - 2211) + chr(52) + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b101011 + 0o6) + chr(0b110001), 4667 - 4659), ehT0Px3KOsy9(chr(1396 - 1348) + chr(0b1101111) + '\066', 9805 - 9797), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(2631 - 2578) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1987 - 1939) + chr(111) + chr(2267 - 2218) + '\x35' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101010 + 0o10) + chr(1531 - 1482) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x33' + chr(0b110101) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(3044 - 2933) + '\061' + chr(0b1101 + 0o44) + '\x36', 55319 - 55311), ehT0Px3KOsy9(chr(48) + chr(6482 - 6371) + '\x31' + chr(0b101 + 0o60) + chr(0b100 + 0o62), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(49) + '\065' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(49) + '\063' + chr(0b101010 + 0o15), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(355 - 307) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1225 - 1177) + '\x6f' + '\062' + chr(0b110000) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7468 - 7357) + chr(0b110001) + '\x31' + chr(49), 12710 - 12702), ehT0Px3KOsy9(chr(1271 - 1223) + chr(0b11101 + 0o122) + chr(0b110011) + chr(0b1001 + 0o53) + chr(1315 - 1264), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101111 + 0o2) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(851 - 803) + '\157' + '\063' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(8560 - 8449) + chr(2226 - 2175) + chr(237 - 186) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110100) + '\060', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(556 - 445) + chr(53) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x96'), '\x64' + chr(5926 - 5825) + chr(0b101000 + 0o73) + chr(5620 - 5509) + chr(8554 - 8454) + chr(0b1100101))(chr(2806 - 2689) + chr(3428 - 3312) + chr(736 - 634) + chr(1999 - 1954) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def WKfmhpCrhfBV(oVre8I6UXc3b, WVxHKyX45z_L): KXI07vaUlUyl = RyQ4N1viUrfz.c_int() VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5*.\x08\xad{\xfd\x85\xe7\xc5\xffz^\x99;C\xfcni'), '\144' + chr(9422 - 9321) + '\143' + '\157' + chr(4588 - 4488) + chr(2452 - 2351))('\x75' + chr(0b1110100) + '\x66' + chr(0b1111 + 0o36) + chr(3046 - 2990)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\n49\xa1x\xc9\xbe\xfa\xf8\xc0v'), chr(1093 - 993) + chr(101) + chr(0b111110 + 0o45) + chr(111) + chr(5934 - 5834) + chr(0b1100101))(chr(117) + chr(0b101111 + 0o105) + '\146' + chr(0b101100 + 0o1) + chr(56))), WVxHKyX45z_L, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x0b\x12)\x8a'), chr(3632 - 3532) + chr(0b110101 + 0o60) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b110110 + 0o77) + chr(1707 - 1591) + '\x66' + chr(0b101101) + chr(0b111000)))(KXI07vaUlUyl))) return hN8jxjkWuKLh[xafqLlk3kkUe(KXI07vaUlUyl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\x1f\r+\xbb\\\xcd\xd5\xad\xd4\xd9D'), chr(0b1100100) + chr(101) + chr(0b1010000 + 0o23) + '\x6f' + chr(5171 - 5071) + chr(101))('\x75' + '\x74' + chr(102) + chr(0b100101 + 0o10) + chr(0b110011 + 0o5)))]

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