





'''simple docstring'''


# Lint as: python3
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_   :   List[Any]       =					get_logger(__name__)






class       UpperCamelCase__  :
	lowerCAmelCase__					:			List[Any]								=						"dummy_data"
	lowerCAmelCase__					:			Tuple								=						"datasets"
	lowerCAmelCase__					:			List[str]								=						False







	def __init__(				self			:   int , lowerCamelCase			:   str , lowerCamelCase			:   str , lowerCamelCase			:   Union[Version, str] , lowerCamelCase			:   Optional[str] = None , lowerCamelCase			:   bool = False , lowerCamelCase			:   bool = True , lowerCamelCase			:   Optional[List[Callable]] = None , ):




				'''simple docstring'''
				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(lowerCamelCase		)
				# to be downloaded
				a__     = None
				a__     = None







	@property
	def 						__a   (				self			:   Optional[Any]		):




				'''simple docstring'''
				if self._dummy_file is None:
							a__     = self.download_dummy_data()
				return self._dummy_file







	@property
	def 						__a   (				self			:   Optional[int]		):




				'''simple docstring'''
				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 						__a   (				self			:   Optional[int]		):




				'''simple docstring'''
				return os.path.join(self.dummy_data_folder , "dummy_data.zip"		)







	def 						__a   (				self			:   int		):




				'''simple docstring'''
				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(
				    lowerCamelCase , cache_dir=self.cache_dir , extract_compressed_file=lowerCamelCase , force_extract=lowerCamelCase		)

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







	@property
	def 						__a   (				self			:   Dict		):




				'''simple docstring'''
				return os.path.join(self.datasets_scripts_dir , self.dataset_name , self.dummy_zip_file		)







	@property
	def 						__a   (				self			:   int		):




				'''simple docstring'''
				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 						__a   (				self			:   List[str]		):




				'''simple docstring'''
				# 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 						__a   (				self			:   Optional[int] , lowerCamelCase			:   Union[str, Any] , *lowerCamelCase			:   Tuple		):




				'''simple docstring'''
				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(lowerCamelCase , lowerCamelCase		):
							return self.create_dummy_data_dict(lowerCamelCase , lowerCamelCase		)
				elif isinstance(lowerCamelCase , (list, tuple)		):
							return self.create_dummy_data_list(lowerCamelCase , lowerCamelCase		)
				else:
							return self.create_dummy_data_single(lowerCamelCase , lowerCamelCase		)







	def 						__a   (				self			:   str , lowerCamelCase			:   Union[str, Any] , *lowerCamelCase			:   List[Any]		):




				'''simple docstring'''
				return self.download_and_extract(lowerCamelCase		)







	def 						__a   (				self			:   Any , lowerCamelCase			:   Optional[Any] , lowerCamelCase			:   str		):




				'''simple docstring'''
				return self.download_and_extract(lowerCamelCase		)







	def 						__a   (				self			:   Union[str, Any] , lowerCamelCase			:   Union[str, Any] , *lowerCamelCase			:   Dict , **lowerCamelCase			:   Optional[int]		):




				'''simple docstring'''
				return path







	def 						__a   (				self			:   Tuple		):




				'''simple docstring'''
				return {}







	def 						__a   (				self			:   int , lowerCamelCase			:   Any , lowerCamelCase			:   Optional[Any]		):




				'''simple docstring'''
				a__     = {}
				for key, single_urls in data_url.items():
							for download_callback in self.download_callbacks:
										if isinstance(lowerCamelCase , lowerCamelCase		):
													for single_url in single_urls:
																download_callback(lowerCamelCase		)
										else:
													a__     = single_urls
													download_callback(lowerCamelCase		)
            # 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(lowerCamelCase , lowerCamelCase		):
										a__     = [os.path.join(lowerCamelCase , urllib.parse.quote_plus(Path(lowerCamelCase		).name		)		) for x in single_urls]
							else:
										a__     = single_urls
										a__     = os.path.join(lowerCamelCase , urllib.parse.quote_plus(Path(lowerCamelCase		).name		)		)
							a__     = value

				# make sure that values are unique
				if all(isinstance(lowerCamelCase , lowerCamelCase		) 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 						__a   (				self			:   Tuple , lowerCamelCase			:   int , lowerCamelCase			:   Optional[int]		):




				'''simple docstring'''
				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,}" , lowerCamelCase		)		) 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(lowerCamelCase		)
				for single_url in data_url:
							for download_callback in self.download_callbacks:
										download_callback(lowerCamelCase		)
							# 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(lowerCamelCase , urllib.parse.quote_plus(single_url.split("/"		)[-1]		)		)
							dummy_data_list.append(lowerCamelCase		)
				return dummy_data_list







	def 						__a   (				self			:   Optional[int] , lowerCamelCase			:   int , lowerCamelCase			:   List[Any]		):




				'''simple docstring'''
				for download_callback in self.download_callbacks:
							download_callback(lowerCamelCase		)
				# 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(lowerCamelCase , urllib.parse.quote_plus(data_url.split("/"		)[-1]		)		)
				if os.path.exists(lowerCamelCase		) 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 						__a   (				self			:   int		):




				'''simple docstring'''
				pass







	def 						__a   (				self			:   List[Any]		):




				'''simple docstring'''
				pass







	def 						__a   (				self			:   List[Any] , lowerCamelCase			:   int		):




				'''simple docstring'''
				def _iter_archive_members(lowerCamelCase			:   str		):
							# this preserves the order of the members inside the ZIP archive
							a__     = Path(self.dummy_file		).parent
							a__     = path.relative_to(lowerCamelCase		)
							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(lowerCamelCase		)

				a__     = Path(lowerCamelCase		)
				a__     = _iter_archive_members(lowerCamelCase		) 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(lowerCamelCase		).as_posix(), file_path.open("rb"		)







	def 						__a   (				self			:   Optional[Any] , lowerCamelCase			:   List[str]		):




				'''simple docstring'''
				if not isinstance(lowerCamelCase , lowerCamelCase		):
							a__     = [paths]
				for path in paths:
							if os.path.isfile(lowerCamelCase		):
										if os.path.basename(lowerCamelCase		).startswith((".", "__")		):
													return
										yield path
							else:
										for dirpath, dirnames, filenames in os.walk(lowerCamelCase		):
													if os.path.basename(lowerCamelCase		).startswith((".", "__")		):
																continue
													dirnames.sort()
													for filename in sorted(lowerCamelCase		):
																if filename.startswith((".", "__")		):
																			continue
																yield os.path.join(lowerCamelCase , lowerCamelCase		)










'''simple docstring'''


import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(".")







def    _lowerCamelCase  (__lowerCamelCase  :     List[str]     )   ->    List[str]:
			a__     = test_file.split(os.path.sep     )
			if components[0:2] != ["tests", "models"]:
						raise ValueError(
						    "`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got "
						    f'''{test_file} instead.'''     )
			a__     = components[-1]
			if not test_fn.endswith("py"     ):
						raise ValueError(f'''`test_file` should be a python file. Got {test_fn} instead.'''     )
			if not test_fn.startswith("test_modeling_"     ):
						raise ValueError(
						    f'''`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead.'''     )

			a__     = components[:-1] + [test_fn.replace(".py"					,  ""     )]
			a__     = ".".join(__lowerCamelCase     )

			return test_module_path







def    _lowerCamelCase  (__lowerCamelCase  :     Union[str, Any]     )   ->    Optional[Any]:
			a__     = get_module_path(__lowerCamelCase     )
			a__     = importlib.import_module(__lowerCamelCase     )

			return test_module







def    _lowerCamelCase  (__lowerCamelCase  :     Optional[int]     )   ->    Union[str, Any]:
			a__     = []
			a__     = get_test_module(__lowerCamelCase     )
			for attr in dir(__lowerCamelCase     ):
						if attr.endswith("ModelTester"     ):
									tester_classes.append(getattr(__lowerCamelCase					,  __lowerCamelCase     )     )

    # sort with class names
			return sorted(__lowerCamelCase					,  key=lambda __lowerCamelCase     : x.__name__     )







def    _lowerCamelCase  (__lowerCamelCase  :     Tuple     )   ->    Tuple:
			a__     = []
			a__     = get_test_module(__lowerCamelCase     )
			for attr in dir(__lowerCamelCase     ):
						a__     = getattr(__lowerCamelCase					,  __lowerCamelCase     )
						# (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
						# `all_model_classes` is not empty (which also excludes other special classes).
						a__     = getattr(__lowerCamelCase					,  "all_model_classes"					,  []     )
						if len(__lowerCamelCase     ) > 0:
									test_classes.append(__lowerCamelCase     )

    # sort with class names
			return sorted(__lowerCamelCase					,  key=lambda __lowerCamelCase     : x.__name__     )







def    _lowerCamelCase  (__lowerCamelCase  :     List[Any]     )   ->    List[Any]:
			a__     = get_test_classes(__lowerCamelCase     )
			a__     = set()
			for test_class in test_classes:
						model_classes.update(test_class.all_model_classes     )

			# sort with class names
			return sorted(__lowerCamelCase					,  key=lambda __lowerCamelCase     : x.__name__     )







def    _lowerCamelCase  (__lowerCamelCase  :     str     )   ->    Dict:
			a__     = test_class()
			if hasattr(__lowerCamelCase					,  "setUp"     ):
						test.setUp()

			a__     = None
			if hasattr(__lowerCamelCase					,  "model_tester"     ):
						# `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
						if test.model_tester is not None:
									a__     = test.model_tester.__class__

			return model_tester







def    _lowerCamelCase  (__lowerCamelCase  :     Dict					,  __lowerCamelCase  :     Optional[int]     )   ->    List[Any]:
			a__     = get_test_classes(__lowerCamelCase     )

			a__     = []
			for test_class in test_classes:
						if model_class in test_class.all_model_classes:
									target_test_classes.append(__lowerCamelCase     )

    # sort with class names
			return sorted(__lowerCamelCase					,  key=lambda __lowerCamelCase     : x.__name__     )







def    _lowerCamelCase  (__lowerCamelCase  :     Any					,  __lowerCamelCase  :     Tuple     )   ->    Dict:
			a__     = get_test_classes_for_model(__lowerCamelCase					,  __lowerCamelCase     )

			a__     = []
			for test_class in test_classes:
						a__     = get_model_tester_from_test_class(__lowerCamelCase     )
						if tester_class is not None:
									tester_classes.append(__lowerCamelCase     )

    # sort with class names
			return sorted(__lowerCamelCase					,  key=lambda __lowerCamelCase     : x.__name__     )







def    _lowerCamelCase  (__lowerCamelCase  :     List[str]     )   ->    int:
			a__     = get_test_classes(__lowerCamelCase     )
			a__     = {test_class: get_model_tester_from_test_class(__lowerCamelCase     ) for test_class in test_classes}
			return test_tester_mapping







def    _lowerCamelCase  (__lowerCamelCase  :     Any     )   ->    List[Any]:
			a__     = get_model_classes(__lowerCamelCase     )
			a__     = {
			    model_class: get_test_classes_for_model(__lowerCamelCase					,  __lowerCamelCase     ) for model_class in model_classes
			}
			return model_test_mapping







def    _lowerCamelCase  (__lowerCamelCase  :     Tuple     )   ->    Tuple:
			a__     = get_model_classes(__lowerCamelCase     )
			a__     = {
			    model_class: get_tester_classes_for_model(__lowerCamelCase					,  __lowerCamelCase     ) for model_class in model_classes
			}
			return model_to_tester_mapping







def    _lowerCamelCase  (__lowerCamelCase  :     str     )   ->    Dict:
			if isinstance(__lowerCamelCase					,  __lowerCamelCase     ):
						return o
			elif isinstance(__lowerCamelCase					,  __lowerCamelCase     ):
						return o.__name__
			elif isinstance(__lowerCamelCase					,  (list, tuple)     ):
						return [to_json(__lowerCamelCase     ) for x in o]
			elif isinstance(__lowerCamelCase					,  __lowerCamelCase     ):
						return {to_json(__lowerCamelCase     ): to_json(__lowerCamelCase     ) for k, v in o.items()}
			else:
						return o



