

'''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      					=     get_logger(__name__)
class 					_snake_case		:
			__A  :	Tuple        ='dummy_data'
			__A  :	Tuple        ='datasets'
			__A  :	List[str]        =False






			def __init__(  self			,_snake_case			,_snake_case			,_snake_case			,_snake_case = None			,_snake_case = False			,_snake_case = True			,_snake_case = None			,):
				UpperCAmelCase_     :      Dict						=  0
				UpperCAmelCase_     :      Optional[Any]						=  dataset_name
				UpperCAmelCase_     :      Any						=  cache_dir
				UpperCAmelCase_     :      str						=  use_local_dummy_data
				UpperCAmelCase_     :      int						=  config
				# download_callbacks take a single url as input
				UpperCAmelCase_     :      Optional[int]						=  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
				UpperCAmelCase_     :      Optional[Any]						=  load_existing_dummy_data

				# TODO(PVP, QL) might need to make this more general
				UpperCAmelCase_     :      List[Any]						=  str(__UpperCAmelCase     )
				# to be downloaded
				UpperCAmelCase_     :      Any						=  None
				UpperCAmelCase_     :      Any						=  None






			@property
			def 		UpperCamelCase__							(  self     ):
				if self._dummy_file is None:
					UpperCAmelCase_     :      int						=  self.download_dummy_data()
				return self._dummy_file






			@property
			def 		UpperCamelCase__							(  self     ):
				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 		UpperCamelCase__							(  self     ):
				return os.path.join(self.dummy_data_folder			,"dummy_data.zip"     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      List[Any]						=  (
				    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
				)

				UpperCAmelCase_     :      int						=  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 		UpperCamelCase__							(  self     ):
				return os.path.join(self.datasets_scripts_dir			,self.dataset_name			,self.dummy_zip_file     )






			@property
			def 		UpperCamelCase__							(  self     ):
				if self._bucket_url is None:
					UpperCAmelCase_     :      List[Any]						=  hf_github_url(self.dataset_name			,self.dummy_zip_file.replace(os.sep			,"/"     )     )
				return self._bucket_url






			@property
			def 		UpperCamelCase__							(  self     ):
				# 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 		UpperCamelCase__							(  self			,_snake_case			,*_snake_case     ):
				if self.load_existing_dummy_data:
					# dummy data is downloaded and tested
					UpperCAmelCase_     :      int						=  self.dummy_file
				else:
					# dummy data cannot be downloaded and only the path to dummy file is returned
					UpperCAmelCase_     :      List[Any]						=  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 		UpperCamelCase__							(  self			,_snake_case			,*_snake_case     ):
				return self.download_and_extract(__UpperCAmelCase     )






			def 		UpperCamelCase__							(  self			,_snake_case			,_snake_case     ):
				return self.download_and_extract(__UpperCAmelCase     )






			def 		UpperCamelCase__							(  self			,_snake_case			,*_snake_case			,**_snake_case     ):
				return path






			def 		UpperCamelCase__							(  self     ):
				return {}






			def 		UpperCamelCase__							(  self			,_snake_case			,_snake_case     ):
				UpperCAmelCase_     :      Tuple						=  {}
				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:
							UpperCAmelCase_     :      int						=  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     ):
						UpperCAmelCase_     :      Dict						=  [os.path.join(__UpperCAmelCase			,urllib.parse.quote_plus(Path(__UpperCAmelCase     ).name     )     ) for x in single_urls]
					else:
						UpperCAmelCase_     :      Dict						=  single_urls
						UpperCAmelCase_     :      List[str]						=  os.path.join(__UpperCAmelCase			,urllib.parse.quote_plus(Path(__UpperCAmelCase     ).name     )     )
					UpperCAmelCase_     :      str						=  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
					UpperCAmelCase_     :      Optional[Any]						=  {key: value + key for key, value in dummy_data_dict.items()}

				return dummy_data_dict






			def 		UpperCamelCase__							(  self			,_snake_case			,_snake_case     ):
				UpperCAmelCase_     :      int						=  []
				# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
				UpperCAmelCase_     :      List[str]						=  all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"			,__UpperCAmelCase     )     ) for url in data_url     )
				UpperCAmelCase_     :      List[Any]						=  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):
					UpperCAmelCase_     :      Dict						=  [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
					UpperCAmelCase_     :      Optional[int]						=  os.path.join(__UpperCAmelCase			,urllib.parse.quote_plus(single_url.split("/"     )[-1]     )     )
					dummy_data_list.append(__UpperCAmelCase     )
				return dummy_data_list






			def 		UpperCamelCase__							(  self			,_snake_case			,_snake_case     ):
				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
				UpperCAmelCase_     :      List[str]						=  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 		UpperCamelCase__							(  self     ):
				pass






			def 		UpperCamelCase__							(  self     ):
				pass






			def 		UpperCamelCase__							(  self			,_snake_case     ):
				def _iter_archive_members(_snake_case     ):
					# this preserves the order of the members inside the ZIP archive
					UpperCAmelCase_     :      List[str]						=  Path(self.dummy_file     ).parent
					UpperCAmelCase_     :      Optional[int]						=  path.relative_to(__UpperCAmelCase     )
					with ZipFile(self.local_path_to_dummy_data     ) as zip_file:
						UpperCAmelCase_     :      Tuple						=  zip_file.namelist()
					for member in members:
						if member.startswith(relative_path.as_posix()     ):
							yield dummy_parent_path.joinpath(__UpperCAmelCase     )

				UpperCAmelCase_     :      Tuple						=  Path(__UpperCAmelCase     )
				UpperCAmelCase_     :      str						=  _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 		UpperCamelCase__							(  self			,_snake_case     ):
				if not isinstance(__UpperCAmelCase			,__UpperCAmelCase     ):
					UpperCAmelCase_     :      Tuple						=  [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     )







"""simple docstring"""




import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


A_				:      Optional[Any]           =			logging.getLogger(__name__)





@dataclass
class  lowerCamelCase    (A__      ):
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=0.0      ,metadata={'help': 'The label smoothing epsilon to apply (if not zero).'}      )
			lowerCamelCase__ :		bool       		=				field(default=A__      ,metadata={'help': 'Whether to SortishSamler or not.'}      )
			lowerCamelCase__ :		bool       		=				field(
			    default=A__      ,metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'}      )
			lowerCamelCase__ :		bool       		=				field(default=A__      ,metadata={'help': 'whether to use adafactor'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Encoder layer dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Decoder layer dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(default=A__      ,metadata={'help': 'Dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Attention dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[str]       		=				field(
			    default='linear'      ,metadata={'help': f"Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()      )}"}      ,)


