


"""simple docstring"""






import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type

from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iterators import ThreadedIterator
from tqdm import tqdm


_A   					=    re.compile('[^A-Za-z_0-9]')
# parameters used in DuplicationIndex
_A   					=    1_0
_A   					=    2_5_6




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   Optional[MinHash]:
				if len(__UpperCAmelCase       ) < MIN_NUM_TOKENS:
								return None
				SCREAMING_SNAKE_CASE__		  =				MinHash(num_perm=__UpperCAmelCase       )
				for token in set(__UpperCAmelCase       ):
								min_hash.update(token.encode()       )
				return min_hash




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   Set[str]:
				return {t for t in NON_ALPHA.split(__UpperCAmelCase       ) if len(t.strip()       ) > 0}

class lowerCamelCase		:






					'''simple docstring'''


					def __init__(						self			:				Any   , *,
					    _snake_case			:				float = 0.85   , )							->       List[Any]:
									SCREAMING_SNAKE_CASE__		  =				duplication_jaccard_threshold
									SCREAMING_SNAKE_CASE__		  =				NUM_PERM
									SCREAMING_SNAKE_CASE__		  =				MinHashLSH(threshold=self._duplication_jaccard_threshold   , num_perm=self._num_perm		)

									SCREAMING_SNAKE_CASE__		  =				defaultdict(_snake_case		)



					def 			lowerCAmelCase_					(						self			:				Any   , _snake_case			:				Tuple   , _snake_case			:				MinHash		)							->       None:
									SCREAMING_SNAKE_CASE__		  =				self._index.query(_snake_case		)
									if code_key in self._index.keys:
													print(F"""Duplicate key {code_key}"""		)
													return

									self._index.insert(_snake_case   , _snake_case		)
									if len(_snake_case		) > 0:
													for base_duplicate in close_duplicates:
																	if base_duplicate in self._duplicate_clusters:
																					self._duplicate_clusters[base_duplicate].add(_snake_case		)
																					break
													else:
																	self._duplicate_clusters[close_duplicates[0]].add(_snake_case		)



					def 			lowerCAmelCase_					(						self			:				Optional[Any]		)							->       List[List[Dict]]:
									SCREAMING_SNAKE_CASE__		  =				[]
									for base, duplicates in self._duplicate_clusters.items():
													SCREAMING_SNAKE_CASE__		  =				[base] + list(_snake_case		)
													# reformat the cluster to be a list of dict
													SCREAMING_SNAKE_CASE__		  =				[{"base_index": el[0], "repo_name": el[1], "path": el[2]} for el in cluster]
													duplicate_clusters.append(_snake_case		)
									return duplicate_clusters



					def 			lowerCAmelCase_					(						self			:				List[str]   , _snake_case			:				Union[str, Any]		)							->       None:
									SCREAMING_SNAKE_CASE__		  =				self.get_duplicate_clusters()
									with open(_snake_case   , "w"		) as f:
													json.dump(_snake_case   , _snake_case		)




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   List[str]:
				SCREAMING_SNAKE_CASE__  ,       SCREAMING_SNAKE_CASE__		  =				element
				SCREAMING_SNAKE_CASE__		  =				get_min_hash([t for t in NON_ALPHA.split(data["content"]       ) if len(t.strip()       ) > 0]       )
				if min_hash is not None:
								return (index, data["repo_name"], data["path"]), min_hash




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   int:
				with mp.Pool() as pool:
								for data in pool.imap_unordered(
								    _compute_min_hash  ,					ThreadedIterator(__UpperCAmelCase  ,					max_queue_size=10_000       )  ,					chunksize=100  ,					):
												if data is not None:
																yield data




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   List[Any]:
				SCREAMING_SNAKE_CASE__		  =				DuplicationIndex(duplication_jaccard_threshold=__UpperCAmelCase       )

				for filename, min_hash in tqdm(ThreadedIterator(minhash_iter(enumerate(__UpperCAmelCase       )       )  ,					max_queue_size=100       )       ):
								di.add(__UpperCAmelCase  ,					__UpperCAmelCase       )

				# Returns a List[Cluster] where Cluster is List[str] with the filenames.
				return di.get_duplicate_clusters()




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   float:
				SCREAMING_SNAKE_CASE__		  =				get_tokens(__UpperCAmelCase       )
				SCREAMING_SNAKE_CASE__		  =				get_tokens(__UpperCAmelCase       )
				return len(tokensa & tokensa       ) / len(tokensa | tokensa       )


_A   					=    None




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   int:
				SCREAMING_SNAKE_CASE__		  =				[]
				for elementa in cluster:
								SCREAMING_SNAKE_CASE__		  =				_shared_dataset[elementa["base_index"]]["content"]
								for elementa in extremes:
												SCREAMING_SNAKE_CASE__		  =				_shared_dataset[elementa["base_index"]]["content"]
												if jaccard_similarity(__UpperCAmelCase  ,					__UpperCAmelCase       ) >= jaccard_threshold:
																elementa["copies"] += 1
																break
								else:
												SCREAMING_SNAKE_CASE__		  =				1
												extremes.append(__UpperCAmelCase       )
				return extremes




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase       )							->   Union[str, Any]:
				global _shared_dataset
				SCREAMING_SNAKE_CASE__		  =				dataset
				SCREAMING_SNAKE_CASE__		  =				[]
				SCREAMING_SNAKE_CASE__		  =				partial(_find_cluster_extremes_shared  ,					jaccard_threshold=__UpperCAmelCase       )
				with mp.Pool() as pool:
								for extremes in tqdm(
								    pool.imap_unordered(
								        __UpperCAmelCase  ,					__UpperCAmelCase  ,					)  ,					total=len(__UpperCAmelCase       )  ,					):
												extremes_list.append(__UpperCAmelCase       )
				return extremes_list




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase = 0.85       )							->   Tuple[Type[Dataset], List[List[Dict]]]:
				SCREAMING_SNAKE_CASE__		  =				make_duplicate_clusters(__UpperCAmelCase  ,					__UpperCAmelCase       )
				SCREAMING_SNAKE_CASE__		  =				{x["base_index"] for cluster in duplicate_clusters for x in cluster}
				SCREAMING_SNAKE_CASE__		  =				{}
				SCREAMING_SNAKE_CASE__		  =				find_extremes(__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase       )
				for extremes in extremes_clusters:
								for element in extremes:
												SCREAMING_SNAKE_CASE__		  =				element
				SCREAMING_SNAKE_CASE__		  =				duplicate_indices - set(extreme_dict.keys()       )
				SCREAMING_SNAKE_CASE__		  =				dataset.filter(lambda __UpperCAmelCase  ,					__UpperCAmelCase       : idx not in remove_indices  ,					with_indices=__UpperCAmelCase       )

				# update duplicate_clusters
				for cluster in duplicate_clusters:
								for element in cluster:
												SCREAMING_SNAKE_CASE__		  =				element["base_index"] in extreme_dict
												if element["is_extreme"]:
																SCREAMING_SNAKE_CASE__		  =				extreme_dict[element["base_index"]]["copies"]

				print(F"""Original dataset size: {len(__UpperCAmelCase       )}"""       )
				print(F"""Number of duplicate clusters: {len(__UpperCAmelCase       )}"""       )
				print(F"""Files in duplicate cluster: {len(__UpperCAmelCase       )}"""       )
				print(F"""Unique files in duplicate cluster: {len(__UpperCAmelCase       )}"""       )
				print(F"""Filtered dataset size: {len(__UpperCAmelCase       )}"""       )

				return ds_filter, duplicate_clusters





"""simple docstring"""






import collections
import os
import re
from pathlib import Path


_A   					=    'src/transformers'


# Matches is_xxx_available()
_A   					=    re.compile(R'is\_([a-z_]*)_available()')
# Catches a one-line _import_struct = {xxx}
_A   					=    re.compile(R'^_import_structure\s+=\s+\{([^\}]+)\}')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
_A   					=    re.compile(R'\s+"\S*":\s+\[([^\]]*)\]')
# Catches a line if not is_foo_available
_A   					=    re.compile(R'^\s*if\s+not\s+is\_[a-z_]*\_available\(\)')
# Catches a line _import_struct["bla"].append("foo")
_A   					=    re.compile(R'^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
_A   					=    re.compile(R'^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]')
# Catches a line with an object between quotes and a comma:     "MyModel",
_A   					=    re.compile(R'^\s+"([^"]+)",')
# Catches a line with objects between brackets only:    ["foo", "bar"],
_A   					=    re.compile(R'^\s+\[([^\]]+)\]')
# Catches a line with from foo import bar, bla, boo
_A   					=    re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
# Catches a line with try:
_A   					=    re.compile(R'^\s*try:')
# Catches a line with else:
_A   					=    re.compile(R'^\s*else:')




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   List[str]:
				if _re_test_backend.search(__UpperCAmelCase       ) is None:
								return None
				SCREAMING_SNAKE_CASE__		  =				[b[0] for b in _re_backend.findall(__UpperCAmelCase       )]
				backends.sort()
				return "_and_".join(__UpperCAmelCase       )




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   Optional[Any]:
				with open(__UpperCAmelCase  ,					"r"  ,					encoding="utf-8"  ,					newline="\n"       ) as f:
								SCREAMING_SNAKE_CASE__		  =				f.readlines()

				SCREAMING_SNAKE_CASE__		  =				0
				while line_index < len(__UpperCAmelCase       ) and not lines[line_index].startswith("_import_structure = {"       ):
								line_index += 1

				# If this is a traditional init, just return.
				if line_index >= len(__UpperCAmelCase       ):
								return None

				# First grab the objects without a specific backend in _import_structure
				SCREAMING_SNAKE_CASE__		  =				[]
				while not lines[line_index].startswith("if TYPE_CHECKING"       ) and find_backend(lines[line_index]       ) is None:
								SCREAMING_SNAKE_CASE__		  =				lines[line_index]
								# If we have everything on a single line, let's deal with it.
								if _re_one_line_import_struct.search(__UpperCAmelCase       ):
												SCREAMING_SNAKE_CASE__		  =				_re_one_line_import_struct.search(__UpperCAmelCase       ).groups()[0]
												SCREAMING_SNAKE_CASE__		  =				re.findall(R"\[([^\]]+)\]"  ,					__UpperCAmelCase       )
												for imp in imports:
																objects.extend([obj[1:-1] for obj in imp.split(", "       )]       )
												line_index += 1
												continue
								SCREAMING_SNAKE_CASE__		  =				_re_import_struct_key_value.search(__UpperCAmelCase       )
								if single_line_import_search is not None:
												SCREAMING_SNAKE_CASE__		  =				[obj[1:-1] for obj in single_line_import_search.groups()[0].split(", "       ) if len(__UpperCAmelCase       ) > 0]
												objects.extend(__UpperCAmelCase       )
								elif line.startswith(" " * 8 + "\""       ):
												objects.append(line[9:-3]       )
								line_index += 1

				SCREAMING_SNAKE_CASE__		  =				{"none": objects}
				# Let's continue with backend-specific objects in _import_structure
				while not lines[line_index].startswith("if TYPE_CHECKING"       ):
								# If the line is an if not is_backend_available, we grab all objects associated.
								SCREAMING_SNAKE_CASE__		  =				find_backend(lines[line_index]       )
								# Check if the backend declaration is inside a try block:
								if _re_try.search(lines[line_index - 1]       ) is None:
												SCREAMING_SNAKE_CASE__		  =				None

								if backend is not None:
												line_index += 1

												# Scroll until we hit the else block of try-except-else
												while _re_else.search(lines[line_index]       ) is None:
																line_index += 1

												line_index += 1

												SCREAMING_SNAKE_CASE__		  =				[]
												# Until we unindent, add backend objects to the list
												while len(lines[line_index]       ) <= 1 or lines[line_index].startswith(" " * 4       ):
																SCREAMING_SNAKE_CASE__		  =				lines[line_index]
																if _re_import_struct_add_one.search(__UpperCAmelCase       ) is not None:
																				objects.append(_re_import_struct_add_one.search(__UpperCAmelCase       ).groups()[0]       )
																elif _re_import_struct_add_many.search(__UpperCAmelCase       ) is not None:
																				SCREAMING_SNAKE_CASE__		  =				_re_import_struct_add_many.search(__UpperCAmelCase       ).groups()[0].split(", "       )
																				SCREAMING_SNAKE_CASE__		  =				[obj[1:-1] for obj in imports if len(__UpperCAmelCase       ) > 0]
																				objects.extend(__UpperCAmelCase       )
																elif _re_between_brackets.search(__UpperCAmelCase       ) is not None:
																				SCREAMING_SNAKE_CASE__		  =				_re_between_brackets.search(__UpperCAmelCase       ).groups()[0].split(", "       )
																				SCREAMING_SNAKE_CASE__		  =				[obj[1:-1] for obj in imports if len(__UpperCAmelCase       ) > 0]
																				objects.extend(__UpperCAmelCase       )
																elif _re_quote_object.search(__UpperCAmelCase       ) is not None:
																				objects.append(_re_quote_object.search(__UpperCAmelCase       ).groups()[0]       )
																elif line.startswith(" " * 8 + "\""       ):
																				objects.append(line[9:-3]       )
																elif line.startswith(" " * 12 + "\""       ):
																				objects.append(line[13:-3]       )
																line_index += 1

												SCREAMING_SNAKE_CASE__		  =				objects
								else:
												line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
				SCREAMING_SNAKE_CASE__		  =				[]
				while (
				    line_index < len(__UpperCAmelCase       )
				    and find_backend(lines[line_index]       ) is None
				    and not lines[line_index].startswith("else"       )
				):
								SCREAMING_SNAKE_CASE__		  =				lines[line_index]
								SCREAMING_SNAKE_CASE__		  =				_re_import.search(__UpperCAmelCase       )
								if single_line_import_search is not None:
												objects.extend(single_line_import_search.groups()[0].split(", "       )       )
								elif line.startswith(" " * 8       ):
												objects.append(line[8:-2]       )
								line_index += 1

				SCREAMING_SNAKE_CASE__		  =				{"none": objects}
				# Let's continue with backend-specific objects
				while line_index < len(__UpperCAmelCase       ):
								# If the line is an if is_backend_available, we grab all objects associated.
								SCREAMING_SNAKE_CASE__		  =				find_backend(lines[line_index]       )
								# Check if the backend declaration is inside a try block:
								if _re_try.search(lines[line_index - 1]       ) is None:
												SCREAMING_SNAKE_CASE__		  =				None

								if backend is not None:
												line_index += 1

												# Scroll until we hit the else block of try-except-else
												while _re_else.search(lines[line_index]       ) is None:
																line_index += 1

												line_index += 1

												SCREAMING_SNAKE_CASE__		  =				[]
												# Until we unindent, add backend objects to the list
												while len(lines[line_index]       ) <= 1 or lines[line_index].startswith(" " * 8       ):
																SCREAMING_SNAKE_CASE__		  =				lines[line_index]
																SCREAMING_SNAKE_CASE__		  =				_re_import.search(__UpperCAmelCase       )
																if single_line_import_search is not None:
																				objects.extend(single_line_import_search.groups()[0].split(", "       )       )
																elif line.startswith(" " * 12       ):
																				objects.append(line[12:-2]       )
																line_index += 1

												SCREAMING_SNAKE_CASE__		  =				objects
								else:
												line_index += 1

				return import_dict_objects, type_hint_objects




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   Any:

				def find_duplicates(__UpperCAmelCase       ):
								return [k for k, v in collections.Counter(__UpperCAmelCase       ).items() if v > 1]

				if list(import_dict_objects.keys()       ) != list(type_hint_objects.keys()       ):
								return ["Both sides of the init do not have the same backends!"]

				SCREAMING_SNAKE_CASE__		  =				[]
				for key in import_dict_objects.keys():
								SCREAMING_SNAKE_CASE__		  =				find_duplicates(import_dict_objects[key]       )
								if duplicate_imports:
												errors.append(F"""Duplicate _import_structure definitions for: {duplicate_imports}"""       )
								SCREAMING_SNAKE_CASE__		  =				find_duplicates(type_hint_objects[key]       )
								if duplicate_type_hints:
												errors.append(F"""Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"""       )

								if sorted(set(import_dict_objects[key]       )       ) != sorted(set(type_hint_objects[key]       )       ):
												SCREAMING_SNAKE_CASE__		  =				"base imports" if key == "none" else F"""{key} backend"""
												errors.append(F"""Differences for {name}:"""       )
												for a in type_hint_objects[key]:
																if a not in import_dict_objects[key]:
																				errors.append(F"""  {a} in TYPE_HINT but not in _import_structure."""       )
												for a in import_dict_objects[key]:
																if a not in type_hint_objects[key]:
																				errors.append(F"""  {a} in _import_structure but not in TYPE_HINT."""       )
				return errors




def 						SCREAMING_SNAKE_CASE					(  )							->   List[Any]:
				SCREAMING_SNAKE_CASE__		  =				[]
				for root, _, files in os.walk(__UpperCAmelCase       ):
								if "__init__.py" in files:
												SCREAMING_SNAKE_CASE__		  =				os.path.join(__UpperCAmelCase  ,					"__init__.py"       )
												SCREAMING_SNAKE_CASE__		  =				parse_init(__UpperCAmelCase       )
												if objects is not None:
																SCREAMING_SNAKE_CASE__		  =				analyze_results(*__UpperCAmelCase       )
																if len(__UpperCAmelCase       ) > 0:
																				SCREAMING_SNAKE_CASE__		  =				F"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
																				failures.append("\n".join(__UpperCAmelCase       )       )
				if len(__UpperCAmelCase       ) > 0:
								raise ValueError("\n\n".join(__UpperCAmelCase       )       )




def 						SCREAMING_SNAKE_CASE					(  )							->   Optional[Any]:
				SCREAMING_SNAKE_CASE__		  =				[]
				for path, directories, files in os.walk(__UpperCAmelCase       ):
								for folder in directories:
												# Ignore private modules
												if folder.startswith("_"       ):
																directories.remove(__UpperCAmelCase       )
																continue
												# Ignore leftovers from branches (empty folders apart from pycache)
												if len(list((Path(__UpperCAmelCase       ) / folder).glob("*.py"       )       )       ) == 0:
																continue
												SCREAMING_SNAKE_CASE__		  =				str((Path(__UpperCAmelCase       ) / folder).relative_to(__UpperCAmelCase       )       )
												SCREAMING_SNAKE_CASE__		  =				short_path.replace(os.path.sep  ,					"."       )
												submodules.append(__UpperCAmelCase       )
								for fname in files:
												if fname == "__init__.py":
																continue
												SCREAMING_SNAKE_CASE__		  =				str((Path(__UpperCAmelCase       ) / fname).relative_to(__UpperCAmelCase       )       )
												SCREAMING_SNAKE_CASE__		  =				short_path.replace(".py"  ,					""       ).replace(os.path.sep  ,					"."       )
												if len(submodule.split("."       )       ) == 1:
																submodules.append(__UpperCAmelCase       )
				return submodules


_A   					=    [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]




def 						SCREAMING_SNAKE_CASE					(  )							->   Union[str, Any]:
				# This is to make sure the transformers module imported is the one in the repo.
				from transformers.utils import direct_transformers_import

				SCREAMING_SNAKE_CASE__		  =				direct_transformers_import(__UpperCAmelCase       )

				SCREAMING_SNAKE_CASE__		  =				set(transformers._import_structure.keys()       )
				# This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
				# some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
				# (potentiall re-) add them.
				with open(os.path.join(__UpperCAmelCase  ,					"__init__.py"       )  ,					"r"       ) as f:
								SCREAMING_SNAKE_CASE__		  =				f.read()
				import_structure_keys.update(set(re.findall(R"import_structure\[\"([^\"]*)\"\]"  ,					__UpperCAmelCase       )       )       )

				SCREAMING_SNAKE_CASE__		  =				[
				    module
				    for module in get_transformers_submodules()
				    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
				]

				if len(__UpperCAmelCase       ) > 0:
								SCREAMING_SNAKE_CASE__		  =				"\n".join(F"""- {module}""" for module in module_not_registered       )
								raise ValueError(
								    "The following submodules are not properly registed in the main init of Transformers:\n"
								    F"""{list_of_modules}\n"""
								    "Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value."       )


if __name__ == "__main__":
						check_all_inits()
						check_submodules()




