"""simple docstring"""




import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


lowerCamelCase_    :		Optional[Any]							=	get_logger(__name__)


class 						a__							:
			A__    :       Any        =      'dummy_data'
			A__    :       int        =      'datasets'
			A__    :       Dict        =      False



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase = None				,						UpperCAmelCase = False				,						UpperCAmelCase = True				,						UpperCAmelCase = None				,						)			->   Any:
								__a		 =       0
								__a		 =       dataset_name
								__a		 =       cache_dir
								__a		 =       use_local_dummy_data
								__a		 =       config
								# download_callbacks take a single url as input
								__a		 =       download_callbacks or []
								# if False, it doesn't load existing files and it returns the paths of the dummy files relative
								# to the dummy_data zip file root
								__a		 =       load_existing_dummy_data

								# TODO(PVP, QL) might need to make this more general
								__a		 =       str(UpperCAmelCase   )
								# to be downloaded
								__a		 =       None
								__a		 =       None



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Dict:
								if self._dummy_file is None:
													__a		 =       self.download_dummy_data()
								return self._dummy_file



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Tuple:
								if self.config is not None:
													# structure is dummy / config_name / version_name
													return os.path.join('dummy'				,						self.config.name				,						self.version_name   )
								# structure is dummy / version_name
								return os.path.join('dummy'				,						self.version_name   )



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								return os.path.join(self.dummy_data_folder				,						'dummy_data.zip'   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								__a		 =       (
								    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
								)

								__a		 =       cached_path(
								    UpperCAmelCase				,						cache_dir=self.cache_dir				,						extract_compressed_file=UpperCAmelCase				,						force_extract=UpperCAmelCase   )

								return os.path.join(UpperCAmelCase				,						self.dummy_file_name   )



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Tuple:
								return os.path.join(self.datasets_scripts_dir				,						self.dataset_name				,						self.dummy_zip_file   )



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   List[str]:
								if self._bucket_url is None:
													__a		 =       hf_github_url(self.dataset_name				,						self.dummy_zip_file.replace(os.sep				,						'/'   )   )
								return self._bucket_url



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								# return full path if its a dir
								if os.path.isdir(self.dummy_file   ):
													return self.dummy_file
								# else cut off path to file -> example `xsum`.
								return "/".join(self.dummy_file.replace(os.sep				,						'/'   ).split('/'   )[:-1]   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						*UpperCAmelCase   )			->   List[str]:
								if self.load_existing_dummy_data:
													# dummy data is downloaded and tested
													__a		 =       self.dummy_file
								else:
													# dummy data cannot be downloaded and only the path to dummy file is returned
													__a		 =       self.dummy_file_name

								# special case when data_url is a dict
								if isinstance(UpperCAmelCase				,						UpperCAmelCase   ):
													return self.create_dummy_data_dict(UpperCAmelCase				,						UpperCAmelCase   )
								elif isinstance(UpperCAmelCase				,						(list, tuple)   ):
													return self.create_dummy_data_list(UpperCAmelCase				,						UpperCAmelCase   )
								else:
													return self.create_dummy_data_single(UpperCAmelCase				,						UpperCAmelCase   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						*UpperCAmelCase   )			->   Dict:
								return self.download_and_extract(UpperCAmelCase   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase   )			->   Dict:
								return self.download_and_extract(UpperCAmelCase   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Optional[Any]:
								return path



			def __SCREAMING_SNAKE_CASE							(						self   )			->   List[Any]:
								return {}



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase   )			->   Optional[Any]:
								__a		 =       {}
								for key, single_urls in data_url.items():
													for download_callback in self.download_callbacks:
																		if isinstance(UpperCAmelCase				,						UpperCAmelCase   ):
																							for single_url in single_urls:
																												download_callback(UpperCAmelCase   )
																		else:
																							__a		 =       single_urls
																							download_callback(UpperCAmelCase   )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
													if isinstance(UpperCAmelCase				,						UpperCAmelCase   ):
																		__a		 =       [os.path.join(UpperCAmelCase				,						urllib.parse.quote_plus(Path(UpperCAmelCase   ).name   )   ) for x in single_urls]
													else:
																		__a		 =       single_urls
																		__a		 =       os.path.join(UpperCAmelCase				,						urllib.parse.quote_plus(Path(UpperCAmelCase   ).name   )   )
													__a		 =       value

								# make sure that values are unique
								if all(isinstance(UpperCAmelCase				,						UpperCAmelCase   ) for i in dummy_data_dict.values()   ) and len(set(dummy_data_dict.values()   )   ) < len(
								    dummy_data_dict.values()   ):
													# append key to value to make its name unique
													__a		 =       {key: value + key for key, value in dummy_data_dict.items()}

								return dummy_data_dict



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase   )			->   Any:
								__a		 =       []
								# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
								__a		 =       all(bool(re.findall('[0-9]{3,}-of-[0-9]{3,}'				,						UpperCAmelCase   )   ) for url in data_url   )
								__a		 =       all(
								    url.startswith('https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'   ) for url in data_url   )
								if data_url and (is_tf_records or is_pubmed_records):
													__a		 =       [data_url[0]] * len(UpperCAmelCase   )
								for single_url in data_url:
													for download_callback in self.download_callbacks:
																		download_callback(UpperCAmelCase   )
													# we force the name of each key to be the last file / folder name of the url path
													# if the url has arguments, we need to encode them with urllib.parse.quote_plus
													__a		 =       os.path.join(UpperCAmelCase				,						urllib.parse.quote_plus(single_url.split('/'   )[-1]   )   )
													dummy_data_list.append(UpperCAmelCase   )
								return dummy_data_list



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase   )			->   Optional[Any]:
								for download_callback in self.download_callbacks:
													download_callback(UpperCAmelCase   )
								# we force the name of each key to be the last file / folder name of the url path
								# if the url has arguments, we need to encode them with urllib.parse.quote_plus
								__a		 =       os.path.join(UpperCAmelCase				,						urllib.parse.quote_plus(data_url.split('/'   )[-1]   )   )
								if os.path.exists(UpperCAmelCase   ) or not self.load_existing_dummy_data:
													return value
								else:
													# Backward compatibility, maybe deprecate at one point.
													# For many datasets with single url calls to dl_manager.download_and_extract,
													# the dummy_data.zip file is actually the zipped downloaded file
													# while now we expected the dummy_data.zip file to be a directory containing
													# the downloaded file.
													return path_to_dummy_data



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Dict:
								pass



			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								pass



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   List[Any]:
								def _iter_archive_members(UpperCAmelCase   ):
													# this preserves the order of the members inside the ZIP archive
													__a		 =       Path(self.dummy_file   ).parent
													__a		 =       path.relative_to(UpperCAmelCase   )
													with ZipFile(self.local_path_to_dummy_data   ) as zip_file:
																		__a		 =       zip_file.namelist()
													for member in members:
																		if member.startswith(relative_path.as_posix()   ):
																							yield dummy_parent_path.joinpath(UpperCAmelCase   )

								__a		 =       Path(UpperCAmelCase   )
								__a		 =       _iter_archive_members(UpperCAmelCase   ) if self.use_local_dummy_data else path.rglob('*'   )
								for file_path in file_paths:
													if file_path.is_file() and not file_path.name.startswith(('.', '__')   ):
																		yield file_path.relative_to(UpperCAmelCase   ).as_posix(), file_path.open('rb'   )







			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   Tuple:
								if not isinstance(UpperCAmelCase				,						UpperCAmelCase   ):
													__a		 =       [paths]
								for path in paths:
													if os.path.isfile(UpperCAmelCase   ):
																		if os.path.basename(UpperCAmelCase   ).startswith(('.', '__')   ):
																							return
																		yield path
													else:
																		for dirpath, dirnames, filenames in os.walk(UpperCAmelCase   ):
																							if os.path.basename(UpperCAmelCase   ).startswith(('.', '__')   ):
																												continue
																							dirnames.sort()
																							for filename in sorted(UpperCAmelCase   ):
																												if filename.startswith(('.', '__')   ):
																																	continue
																												yield os.path.join(UpperCAmelCase				,						UpperCAmelCase   )





from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase_    :		Tuple							=	logging.get_logger(__name__)

lowerCamelCase_    :		List[Any]							=	{
    """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/config.json""",
    """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/config.json"""
    # See all FNet models at https://huggingface.co/models?filter=fnet
}


class 						a__							(       __snake_case		):
			A__    :       Dict        =      'fnet'



			def __init__(						self				,						UpperCAmelCase=3_2_0_0_0				,						UpperCAmelCase=7_6_8				,						UpperCAmelCase=1_2				,						UpperCAmelCase=3_0_7_2				,						UpperCAmelCase="gelu_new"				,						UpperCAmelCase=0.1				,						UpperCAmelCase=5_1_2				,						UpperCAmelCase=4				,						UpperCAmelCase=0.02				,						UpperCAmelCase=1e-12				,						UpperCAmelCase=False				,						UpperCAmelCase=5_1_2				,						UpperCAmelCase=3				,						UpperCAmelCase=1				,						UpperCAmelCase=2				,						**UpperCAmelCase				,						)			->   Dict:
								super().__init__(pad_token_id=UpperCAmelCase				,						bos_token_id=UpperCAmelCase				,						eos_token_id=UpperCAmelCase				,						**UpperCAmelCase   )

								__a		 =       vocab_size
								__a		 =       max_position_embeddings
								__a		 =       hidden_size
								__a		 =       num_hidden_layers
								__a		 =       intermediate_size
								__a		 =       hidden_act
								__a		 =       hidden_dropout_prob
								__a		 =       initializer_range
								__a		 =       type_vocab_size
								__a		 =       layer_norm_eps
								__a		 =       use_tpu_fourier_optimizations
								__a		 =       tpu_short_seq_length




