
import argparse
import os
import sys
import urllib.request
import zipfile


_A       =					["CoLA", "SST", "MRPC", "QQP", "STS", "MNLI", "SNLI", "QNLI", "RTE", "WNLI", "diagnostic"]
_A       =					{
    "CoLA": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4",
    "SST": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8",
    "MRPC": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc",
    "QQP": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5",
    "STS": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5",
    "MNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce",
    "SNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSNLI.zip?alt=media&token=4afcfbb2-ff0c-4b2d-a09a-dbf07926f4df",
    "QNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601",
    "RTE": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb",
    "WNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf",
    "diagnostic": "https://storage.googleapis.com/mtl-sentence-representations.appspot.com/tsvsWithoutLabels%2FAX.tsv?GoogleAccessId=firebase-adminsdk-0khhl@mtl-sentence-representations.iam.gserviceaccount.com&Expires=2498860800&Signature=DuQ2CSPt2Yfre0C%2BiISrVYrIFaZH1Lc7hBVZDD4ZyR7fZYOMNOUGpi8QxBmTNOrNPjR3z1cggo7WXFfrgECP6FBJSsURv8Ybrue8Ypt%2FTPxbuJ0Xc2FhDi%2BarnecCBFO77RSbfuz%2Bs95hRrYhTnByqu3U%2FYZPaj3tZt5QdfpH2IUROY8LiBXoXS46LE%2FgOQc%2FKN%2BA9SoscRDYsnxHfG0IjXGwHN%2Bf88q6hOmAxeNPx6moDulUF6XMUAaXCSFU%2BnRO2RDL9CapWxj%2BDl7syNyHhB7987hZ80B%2FwFkQ3MEs8auvt5XW1%2Bd4aCU7ytgM69r8JDCwibfhZxpaa4gd50QXQ%3D%3D",
}

_A       =					"https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"
_A       =					"https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"






def        lowerCamelCase__    (    __lowerCAmelCase  :  List[str]   ,							__lowerCAmelCase  :  Dict    ):




			"""simple docstring"""


			print(F"""Downloading and extracting {task}..."""    )
			lowerCAmelCase_      =     F"""{task}.zip"""
			urllib.request.urlretrieve(TASKaPATH[task]   ,							__lowerCAmelCase    )
			with zipfile.ZipFile(__lowerCAmelCase    ) as zip_ref:
						zip_ref.extractall(__lowerCAmelCase    )
			os.remove(__lowerCAmelCase    )
			print("\tCompleted!"    )






def        lowerCamelCase__    (    __lowerCAmelCase  :  int   ,							__lowerCAmelCase  :  Dict    ):




			"""simple docstring"""


			print("Processing MRPC..."    )
			lowerCAmelCase_      =     os.path.join(__lowerCAmelCase   ,							"MRPC"    )
			if not os.path.isdir(__lowerCAmelCase    ):
						os.mkdir(__lowerCAmelCase    )
			if path_to_data:
						lowerCAmelCase_      =     os.path.join(__lowerCAmelCase   ,							"msr_paraphrase_train.txt"    )
						lowerCAmelCase_      =     os.path.join(__lowerCAmelCase   ,							"msr_paraphrase_test.txt"    )
			else:
						print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN    )
						lowerCAmelCase_      =     os.path.join(__lowerCAmelCase   ,							"msr_paraphrase_train.txt"    )
						lowerCAmelCase_      =     os.path.join(__lowerCAmelCase   ,							"msr_paraphrase_test.txt"    )
						urllib.request.urlretrieve(__lowerCAmelCase   ,							__lowerCAmelCase    )
						urllib.request.urlretrieve(__lowerCAmelCase   ,							__lowerCAmelCase    )
			if not os.path.isfile(__lowerCAmelCase    ):
						raise ValueError(F"""Train data not found at {mrpc_train_file}"""    )
			if not os.path.isfile(__lowerCAmelCase    ):
						raise ValueError(F"""Test data not found at {mrpc_test_file}"""    )
			urllib.request.urlretrieve(TASKaPATH["MRPC"]   ,							os.path.join(__lowerCAmelCase   ,							"dev_ids.tsv"    )    )

			lowerCAmelCase_      =     []
			with open(os.path.join(__lowerCAmelCase   ,							"dev_ids.tsv"    )   ,							encoding="utf8"    ) as ids_fh:
						for row in ids_fh:
									dev_ids.append(row.strip().split("\t"    )    )

			with open(__lowerCAmelCase   ,							encoding="utf8"    ) as data_fh, open(
			    os.path.join(__lowerCAmelCase   ,							"train.tsv"    )   ,							"w"   ,							encoding="utf8"    ) as train_fh, open(os.path.join(__lowerCAmelCase   ,							"dev.tsv"    )   ,							"w"   ,							encoding="utf8"    ) as dev_fh:
						lowerCAmelCase_      =     data_fh.readline()
						train_fh.write(__lowerCAmelCase    )
						dev_fh.write(__lowerCAmelCase    )
						for row in data_fh:
									lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_      =     row.strip().split("\t"    )
									if [ida, ida] in dev_ids:
												dev_fh.write("%s\t%s\t%s\t%s\t%s\n" % (label, ida, ida, sa, sa)    )
									else:
												train_fh.write("%s\t%s\t%s\t%s\t%s\n" % (label, ida, ida, sa, sa)    )

			with open(__lowerCAmelCase   ,							encoding="utf8"    ) as data_fh, open(
			    os.path.join(__lowerCAmelCase   ,							"test.tsv"    )   ,							"w"   ,							encoding="utf8"    ) as test_fh:
						lowerCAmelCase_      =     data_fh.readline()
						test_fh.write("index\t#1 ID\t#2 ID\t#1 String\t#2 String\n"    )
						for idx, row in enumerate(__lowerCAmelCase    ):
									lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_      =     row.strip().split("\t"    )
									test_fh.write("%d\t%s\t%s\t%s\t%s\n" % (idx, ida, ida, sa, sa)    )
			print("\tCompleted!"    )






def        lowerCamelCase__    (    __lowerCAmelCase  :  int    ):




			"""simple docstring"""


			print("Downloading and extracting diagnostic..."    )
			if not os.path.isdir(os.path.join(__lowerCAmelCase   ,							"diagnostic"    )    ):
						os.mkdir(os.path.join(__lowerCAmelCase   ,							"diagnostic"    )    )
			lowerCAmelCase_      =     os.path.join(__lowerCAmelCase   ,							"diagnostic"   ,							"diagnostic.tsv"    )
			urllib.request.urlretrieve(TASKaPATH["diagnostic"]   ,							__lowerCAmelCase    )
			print("\tCompleted!"    )
			return






def        lowerCamelCase__    (    __lowerCAmelCase  :  List[str]    ):




			"""simple docstring"""


			lowerCAmelCase_      =     task_names.split(","    )
			if "all" in task_names:
						lowerCAmelCase_      =     TASKS
			else:
						lowerCAmelCase_      =     []
						for task_name in task_names:
									if task_name not in TASKS:
												raise ValueError(F"""Task {task_name} not found!"""    )
									tasks.append(__lowerCAmelCase    )
			return tasks






def        lowerCamelCase__    (    __lowerCAmelCase  :  Tuple    ):




			"""simple docstring"""


			lowerCAmelCase_      =     argparse.ArgumentParser()
			parser.add_argument("--data_dir"   ,							help="directory to save data to"   ,							type=__lowerCAmelCase   ,							default="glue_data"    )
			parser.add_argument(
			    "--tasks"   ,							help="tasks to download data for as a comma separated string"   ,							type=__lowerCAmelCase   ,							default="all"    )
			parser.add_argument(
			    "--path_to_mrpc"   ,							help="path to directory containing extracted MRPC data, msr_paraphrase_train.txt and msr_paraphrase_text.txt"   ,							type=__lowerCAmelCase   ,							default=""   ,							)
			lowerCAmelCase_      =     parser.parse_args(__lowerCAmelCase    )

			if not os.path.isdir(args.data_dir    ):
						os.mkdir(args.data_dir    )
			lowerCAmelCase_      =     get_tasks(args.tasks    )

			for task in tasks:
						if task == "MRPC":
									format_mrpc(args.data_dir   ,							args.path_to_mrpc    )
						elif task == "diagnostic":
									download_diagnostic(args.data_dir    )
						else:
									download_and_extract(__lowerCAmelCase   ,							args.data_dir    )


if __name__ == "__main__":
			sys.exit(main(sys.argv[1:]))





import torch
import torch.nn.functional as F

from diffusers import VQDiffusionScheduler

from .test_schedulers import SchedulerCommonTest





class      _lowerCAmelCase (     __a	):
				_lowercase      		=(VQDiffusionScheduler,)




				def 					__a						( self    ,    **_UpperCamelCase					)    ->				List[str]:
							lowerCAmelCase_      =     {
							    "num_vec_classes": 4_097,
							    "num_train_timesteps": 100,
							}

							config.update(**_UpperCamelCase					)
							return config




				def 					__a						( self    ,    _UpperCamelCase					)    ->				str:
							lowerCAmelCase_      =     4
							lowerCAmelCase_      =     8
							lowerCAmelCase_      =     8

							lowerCAmelCase_      =     torch.randint(0    ,    _UpperCamelCase    ,    (batch_size, height * width)					)

							return sample




				@property
				def 					__a						( self					)    ->				List[str]:
							assert False




				def 					__a						( self    ,    _UpperCamelCase					)    ->				Tuple:
							def model(_UpperCamelCase    ,    _UpperCamelCase    ,    *_UpperCamelCase					):
										lowerCAmelCase_     ,  lowerCAmelCase_      =     sample.shape
										lowerCAmelCase_      =     torch.rand((batch_size, num_vec_classes - 1, num_latent_pixels)					)
										lowerCAmelCase_      =     F.log_softmax(logits.double()    ,    dim=1					).float()
										return return_value

							return model




				def 					__a						( self					)    ->				str:
							for timesteps in [2, 5, 100, 1_000]:
										self.check_over_configs(num_train_timesteps=_UpperCamelCase					)




				def 					__a						( self					)    ->				Dict:
							for num_vec_classes in [5, 100, 1_000, 4_000]:
										self.check_over_configs(num_vec_classes=_UpperCamelCase					)




				def 					__a						( self					)    ->				Tuple:
							for t in [0, 50, 99]:
										self.check_over_forward(time_step=_UpperCamelCase					)




				def 					__a						( self					)    ->				List[str]:
							pass



