
import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
_A     =  "src/diffusers"
_A     =  "."


# This is to make sure the diffusers module imported is the one in the repo.
_A     =  importlib.util.spec_from_file_location(
    "diffusers",
    os.path.join(DIFFUSERS_PATH, "__init__.py"),
    submodule_search_locations=[DIFFUSERS_PATH],
)
_A     =  spec.loader.load_module()






def      lowerCamelCase__       (       __lowerCAmelCase						:						Optional[Any]					,							__lowerCAmelCase						:						Tuple       ):




			"""simple docstring"""


			return line.startswith(__lowerCAmelCase       ) or len(__lowerCAmelCase       ) <= 1 or re.search(r"^\s*\)(\s*->.*:|:)\s*$"					,							__lowerCAmelCase       ) is not None






def      lowerCamelCase__       (       __lowerCAmelCase						:						Optional[int]       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			object_name.split("."       )
			lowerCAmelCase_      			=			0

			# First let's find the module where our object lives.
			lowerCAmelCase_      			=			parts[i]
			while i < len(__lowerCAmelCase       ) and not os.path.isfile(os.path.join(__lowerCAmelCase					,							F"""{module}.py"""       )       ):
						i += 1
						if i < len(__lowerCAmelCase       ):
									lowerCAmelCase_      			=			os.path.join(__lowerCAmelCase					,							parts[i]       )
			if i >= len(__lowerCAmelCase       ):
						raise ValueError(F"""`object_name` should begin with the name of a module of diffusers but got {object_name}."""       )

			with open(os.path.join(__lowerCAmelCase					,							F"""{module}.py"""       )					,							"r"					,							encoding="utf-8"					,							newline="\n"       ) as f:
						lowerCAmelCase_      			=			f.readlines()

			# Now let's find the class / func in the code!
			lowerCAmelCase_      			=			""
			lowerCAmelCase_      			=			0
			for name in parts[i + 1 :]:
						while (
						    line_index < len(__lowerCAmelCase       ) and re.search(rF"""^{indent}(class|def)\s+{name}(\(|\:)"""					,							lines[line_index]       ) is None
						):
									line_index += 1
						indent += "    "
						line_index += 1

			if line_index >= len(__lowerCAmelCase       ):
						raise ValueError(F""" {object_name} does not match any function or class in {module}."""       )

			# We found the beginning of the class / func, now let's find the end (when the indent diminishes).
			lowerCAmelCase_      			=			line_index
			while line_index < len(__lowerCAmelCase       ) and _should_continue(lines[line_index]					,							__lowerCAmelCase       ):
						line_index += 1
			# Clean up empty lines at the end (if any).
			while len(lines[line_index - 1]       ) <= 1:
						line_index -= 1

			lowerCAmelCase_      			=			lines[start_index:line_index]
			return "".join(__lowerCAmelCase       )


_A     =  re.compile(R"^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)")
_A     =  re.compile(R"^\s*(\S+)->(\S+)(\s+.*|$)")
_A     =  re.compile(R"<FILL\s+[^>]*>")






def      lowerCamelCase__       (       __lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			code.split("\n"       )
			lowerCAmelCase_      			=			0
			while idx < len(__lowerCAmelCase       ) and len(lines[idx]       ) == 0:
						idx += 1
			if idx < len(__lowerCAmelCase       ):
						return re.search(r"^(\s*)\S"					,							lines[idx]       ).groups()[0]
			return ""






def      lowerCamelCase__       (       __lowerCAmelCase						:						Tuple       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			len(get_indent(__lowerCAmelCase       )       ) > 0
			if has_indent:
						lowerCAmelCase_      			=			F"""class Bla:\n{code}"""
			lowerCAmelCase_      			=			black.Mode(target_versions={black.TargetVersion.PYaa}					,							line_length=119					,							preview=__lowerCAmelCase       )
			lowerCAmelCase_      			=			black.format_str(__lowerCAmelCase					,							mode=__lowerCAmelCase       )
			lowerCAmelCase_			,						lowerCAmelCase_      			=			style_docstrings_in_code(__lowerCAmelCase       )
			return result[len("class Bla:\n"       ) :] if has_indent else result






def      lowerCamelCase__       (       __lowerCAmelCase						:						Optional[Any]					,							__lowerCAmelCase						:						Union[str, Any]=False       ):




			"""simple docstring"""


			with open(__lowerCAmelCase					,							"r"					,							encoding="utf-8"					,							newline="\n"       ) as f:
						lowerCAmelCase_      			=			f.readlines()
			lowerCAmelCase_      			=			[]
			lowerCAmelCase_      			=			0
			# Not a for loop cause `lines` is going to change (if `overwrite=True`).
			while line_index < len(__lowerCAmelCase       ):
						lowerCAmelCase_      			=			_re_copy_warning.search(lines[line_index]       )
						if search is None:
									line_index += 1
									continue

						# There is some copied code here, let's retrieve the original.
						lowerCAmelCase_			,						lowerCAmelCase_			,						lowerCAmelCase_      			=			search.groups()
						lowerCAmelCase_      			=			find_code_in_diffusers(__lowerCAmelCase       )
						lowerCAmelCase_      			=			get_indent(__lowerCAmelCase       )

						lowerCAmelCase_      			=			line_index + 1 if indent == theoretical_indent else line_index + 2
						lowerCAmelCase_      			=			theoretical_indent
						lowerCAmelCase_      			=			start_index

						# Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
						lowerCAmelCase_      			=			True
						while line_index < len(__lowerCAmelCase       ) and should_continue:
									line_index += 1
									if line_index >= len(__lowerCAmelCase       ):
												break
									lowerCAmelCase_      			=			lines[line_index]
									lowerCAmelCase_      			=			_should_continue(__lowerCAmelCase					,							__lowerCAmelCase       ) and re.search(F"""^{indent}# End copy"""					,							__lowerCAmelCase       ) is None
						# Clean up empty lines at the end (if any).
						while len(lines[line_index - 1]       ) <= 1:
									line_index -= 1

						lowerCAmelCase_      			=			lines[start_index:line_index]
						lowerCAmelCase_      			=			"".join(__lowerCAmelCase       )

						# Remove any nested `Copied from` comments to avoid circular copies
						lowerCAmelCase_      			=			[line for line in theoretical_code.split("\n"       ) if _re_copy_warning.search(__lowerCAmelCase       ) is None]
						lowerCAmelCase_      			=			"\n".join(__lowerCAmelCase       )

						# Before comparing, use the `replace_pattern` on the original code.
						if len(__lowerCAmelCase       ) > 0:
									lowerCAmelCase_      			=			replace_pattern.replace("with"					,							""       ).split(","       )
									lowerCAmelCase_      			=			[_re_replace_pattern.search(__lowerCAmelCase       ) for p in patterns]
									for pattern in patterns:
												if pattern is None:
															continue
												lowerCAmelCase_			,						lowerCAmelCase_			,						lowerCAmelCase_      			=			pattern.groups()
												lowerCAmelCase_      			=			re.sub(__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase       )
												if option.strip() == "all-casing":
															lowerCAmelCase_      			=			re.sub(obja.lower()					,							obja.lower()					,							__lowerCAmelCase       )
															lowerCAmelCase_      			=			re.sub(obja.upper()					,							obja.upper()					,							__lowerCAmelCase       )

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
									lowerCAmelCase_      			=			blackify(lines[start_index - 1] + theoretical_code       )
									lowerCAmelCase_      			=			theoretical_code[len(lines[start_index - 1]       ) :]

						# Test for a diff and act accordingly.
						if observed_code != theoretical_code:
									diffs.append([object_name, start_index]       )
									if overwrite:
												lowerCAmelCase_      			=			lines[:start_index] + [theoretical_code] + lines[line_index:]
												lowerCAmelCase_      			=			start_index + 1

			if overwrite and len(__lowerCAmelCase       ) > 0:
						# Warn the user a file has been modified.
						print(F"""Detected changes, rewriting {filename}."""       )
						with open(__lowerCAmelCase					,							"w"					,							encoding="utf-8"					,							newline="\n"       ) as f:
									f.writelines(__lowerCAmelCase       )
			return diffs






def      lowerCamelCase__       (       __lowerCAmelCase						:						bool = False       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			glob.glob(os.path.join(__lowerCAmelCase					,							"**/*.py"       )					,							recursive=__lowerCAmelCase       )
			lowerCAmelCase_      			=			[]
			for filename in all_files:
						lowerCAmelCase_      			=			is_copy_consistent(__lowerCAmelCase					,							__lowerCAmelCase       )
						diffs += [F"""- {filename}: copy does not match {d[0]} at line {d[1]}""" for d in new_diffs]
			if not overwrite and len(__lowerCAmelCase       ) > 0:
						lowerCAmelCase_      			=			"\n".join(__lowerCAmelCase       )
						raise Exception(
						    "Found the following copy inconsistencies:\n"
						    + diff
						    + "\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them."       )


if __name__ == "__main__":
			_A     =  argparse.ArgumentParser()
			parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
			_A     =  parser.parse_args()

			check_copies(args.fix_and_overwrite)





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     =  10
_A     =  2_56






def      lowerCamelCase__       (       __lowerCAmelCase						:						List[str]       ):




			"""simple docstring"""


			if len(__lowerCAmelCase       ) < MIN_NUM_TOKENS:
						return None
			lowerCAmelCase_      			=			MinHash(num_perm=__lowerCAmelCase       )
			for token in set(__lowerCAmelCase       ):
						min_hash.update(token.encode()       )
			return min_hash






def      lowerCamelCase__       (       __lowerCAmelCase						:						str       ):




			"""simple docstring"""


			return {t for t in NON_ALPHA.split(__lowerCAmelCase       ) if len(t.strip()       ) > 0}





class 			_lowerCAmelCase      :




				def __init__(      self       ,       *,
				    _UpperCamelCase = 0.85       ,       )       ->   Dict:
							lowerCAmelCase_      			=			duplication_jaccard_threshold
							lowerCAmelCase_      			=			NUM_PERM
							lowerCAmelCase_      			=			MinHashLSH(threshold=self._duplication_jaccard_threshold       ,       num_perm=self._num_perm  )

							lowerCAmelCase_      			=			defaultdict(_UpperCamelCase  )




				def   __a		(      self       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   None:
							lowerCAmelCase_      			=			self._index.query(_UpperCamelCase  )
							if code_key in self._index.keys:
										print(f"""Duplicate key {code_key}"""  )
										return

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




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




				def   __a		(      self       ,       _UpperCamelCase  )       ->   None:
							lowerCAmelCase_      			=			self.get_duplicate_clusters()
							with open(_UpperCamelCase       ,       "w"  ) as f:
										json.dump(_UpperCamelCase       ,       _UpperCamelCase  )






def      lowerCamelCase__       (       __lowerCAmelCase						:						Tuple       ):




			"""simple docstring"""


			lowerCAmelCase_			,						lowerCAmelCase_      			=			element
			lowerCAmelCase_      			=			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      lowerCamelCase__       (       __lowerCAmelCase						:						Type[Dataset]       ):




			"""simple docstring"""


			with mp.Pool() as pool:
						for data in pool.imap_unordered(
						    _compute_min_hash					,							ThreadedIterator(__lowerCAmelCase					,							max_queue_size=10000       )					,							chunksize=100					,							):
									if data is not None:
												yield data






def      lowerCamelCase__       (       __lowerCAmelCase						:						Type[Dataset]					,							__lowerCAmelCase						:						float       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			DuplicationIndex(duplication_jaccard_threshold=__lowerCAmelCase       )

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

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






def      lowerCamelCase__       (       __lowerCAmelCase						:						str					,							__lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			get_tokens(__lowerCAmelCase       )
			lowerCAmelCase_      			=			get_tokens(__lowerCAmelCase       )
			return len(tokensa & tokensa       ) / len(tokensa | tokensa       )


_A     =  None






def      lowerCamelCase__       (       __lowerCAmelCase						:						Dict					,							__lowerCAmelCase						:						int       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			[]
			for elementa in cluster:
						lowerCAmelCase_      			=			_shared_dataset[elementa["base_index"]]["content"]
						for elementa in extremes:
									lowerCAmelCase_      			=			_shared_dataset[elementa["base_index"]]["content"]
									if jaccard_similarity(__lowerCAmelCase					,							__lowerCAmelCase       ) >= jaccard_threshold:
												elementa["copies"] += 1
												break
						else:
									lowerCAmelCase_      			=			1
									extremes.append(__lowerCAmelCase       )
			return extremes






def      lowerCamelCase__       (       __lowerCAmelCase						:						Tuple					,							__lowerCAmelCase						:						List[str]					,							__lowerCAmelCase						:						Union[str, Any]       ):




			"""simple docstring"""


			global _shared_dataset
			lowerCAmelCase_      			=			dataset
			lowerCAmelCase_      			=			[]
			lowerCAmelCase_      			=			partial(_find_cluster_extremes_shared					,							jaccard_threshold=__lowerCAmelCase       )
			with mp.Pool() as pool:
						for extremes in tqdm(
						    pool.imap_unordered(
						        __lowerCAmelCase					,							__lowerCAmelCase					,							)					,							total=len(__lowerCAmelCase       )					,							):
									extremes_list.append(__lowerCAmelCase       )
			return extremes_list






def      lowerCamelCase__       (       __lowerCAmelCase						:						Type[Dataset]					,							__lowerCAmelCase						:						float = 0.85       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			make_duplicate_clusters(__lowerCAmelCase					,							__lowerCAmelCase       )
			lowerCAmelCase_      			=			{x["base_index"] for cluster in duplicate_clusters for x in cluster}
			lowerCAmelCase_      			=			{}
			lowerCAmelCase_      			=			find_extremes(__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase       )
			for extremes in extremes_clusters:
						for element in extremes:
									lowerCAmelCase_      			=			element
			lowerCAmelCase_      			=			duplicate_indices - set(extreme_dict.keys()       )
			lowerCAmelCase_      			=			dataset.filter(lambda __lowerCAmelCase					,							__lowerCAmelCase       : idx not in remove_indices					,							with_indices=__lowerCAmelCase       )

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

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

			return ds_filter, duplicate_clusters



