



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 		_UpperCAmelCase    (				snake_case     ,						snake_case      ):





					"""simple docstring"""

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


def 		_UpperCAmelCase    (				snake_case     ,						snake_case      ):





					"""simple docstring"""

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

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

					with open(snake_case     ,						encoding="""utf8"""      ) as data_fh, open(
					    os.path.join(snake_case     ,						"""train.tsv"""      )     ,						"""w"""     ,						encoding="""utf8"""      ) as train_fh, open(os.path.join(snake_case     ,						"""dev.tsv"""      )     ,						"""w"""     ,						encoding="""utf8"""      ) as dev_fh:
										_lowerCAmelCase      =   data_fh.readline()
										train_fh.write(snake_case      )
										dev_fh.write(snake_case      )
										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(snake_case     ,						encoding="""utf8"""      ) as data_fh, open(
					    os.path.join(snake_case     ,						"""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(snake_case      ):
															_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 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

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


def 		_UpperCAmelCase    (				snake_case      ):





					"""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(snake_case      )
					return tasks


def 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

					_lowerCAmelCase      =   argparse.ArgumentParser()
					parser.add_argument("""--data_dir"""     ,						help="""directory to save data to"""     ,						type=snake_case     ,						default="""glue_data"""      )
					parser.add_argument(
					    """--tasks"""     ,						help="""tasks to download data for as a comma separated string"""     ,						type=snake_case     ,						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=snake_case     ,						default=""""""     ,						)
					_lowerCAmelCase      =   parser.parse_args(snake_case      )

					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(snake_case     ,						args.data_dir      )


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








import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
	from .testing_utils import (
	    floats_tensor,
	    load_hf_numpy,
	    load_image,
	    load_numpy,
	    load_pt,
	    nightly,
	    parse_flag_from_env,
	    print_tensor_test,
	    require_torch_a,
	    require_torch_gpu,
	    skip_mps,
	    slow,
	    torch_all_close,
	    torch_device,
	)
	from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


A__     				=	get_logger(__name__)


def 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

					if version.parse(snake_case      ) < version.parse(snake_case      ):
										if "dev" in min_version:
															_lowerCAmelCase      =   (
															    """This example requires a source install from HuggingFace diffusers (see """
															    """`https://huggingface.co/docs/diffusers/installation#install-from-source`),"""
															)
										else:
															_lowerCAmelCase      =   F'This example requires a minimum version of {min_version},'
										error_message += F' but the version found is {__version__}.\n'
										raise ImportError(snake_case      )



