

import logging
import os
import threading
import time


try:
			import warnings
except ImportError:
			a_						     =    None

try:
			import msvcrt
except ImportError:
			a_						     =    None

try:
			import fcntl
except ImportError:
			a_						     =    None


# Backward compatibility
# ------------------------------------------------
try:
			TimeoutError
except NameError:
			a_						     =    OSError


# Data
# ------------------------------------------------
a_						     =    [
    'Timeout',
    'BaseFileLock',
    'WindowsFileLock',
    'UnixFileLock',
    'SoftFileLock',
    'FileLock',
]

a_						     =    '3.0.12'


a_						     =    None

def  lowerCamelCase__ (					):
	global _logger
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       _logger or logging.getLogger(__name__)
	return _logger





class _UpperCamelCase							(							__a   ):
			'''simple docstring'''







			def __init__(			self							: List[Any]      ,      a							: Tuple	)							->       Optional[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Tuple				     =       lock_file
				return None






			def __str__(			self							: Tuple	)							->       List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       F"The file lock '{self.lock_file}' could not be acquired."
				return temp





class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Optional[int]      ,      a							: Union[str, Any]	)							->       int:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Tuple				     =       lock
				return None
			def __enter__(			self							: Dict	)							->       Optional[int]:

				"""simple docstring"""

				return self.lock






			def __exit__(			self							: str      ,      a							: Dict      ,      a							: str      ,      a							: Dict	)							->       Optional[int]:

				"""simple docstring"""

				self.lock.release()
				return None





class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Union[str, Any]      ,      a							: Tuple      ,      a							: Optional[int]=-1      ,      a							: str=None	)							->       Union[str, Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       max_filename_length if max_filename_length is not None else 255
				# Hash the filename if it's too long
				SCREAMING_SNAKE_CASE   :      str				     =       self.hash_filename_if_too_long(lowerCAmelCase_      ,      lowerCAmelCase_	)
				# The path to the lock file.
				SCREAMING_SNAKE_CASE   :      Dict				     =       lock_file

				# The file descriptor for the *_lock_file* as it is returned by the
				# os.open() function.
				# This file lock is only NOT None, if the object currently holds the
				# lock.
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       None

				# The default timeout value.
				SCREAMING_SNAKE_CASE   :      List[Any]				     =       timeout

				# We use this lock primarily for the lock counter.
				SCREAMING_SNAKE_CASE   :      str				     =       threading.Lock()

				# The lock counter is used for implementing the nested locking
				# mechanism. Whenever the lock is acquired, the counter is increased and
				# the lock is only released, when this value is 0 again.
				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       0
				return None
			@property
			def 							__UpperCamelCase (			self							: Optional[Any]	)							->       Any:

				"""simple docstring"""

				return self._lock_file
			@property
			def 							__UpperCamelCase (			self							: List[Any]	)							->       List[str]:

				"""simple docstring"""

				return self._timeout
			@timeout.setter
			def 							__UpperCamelCase (			self							: List[str]      ,      a							: Tuple	)							->       Optional[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Tuple				     =       float(lowerCAmelCase_	)
				return None
			def 							__UpperCamelCase (			self							: int	)							->       int:

				"""simple docstring"""

				raise NotImplementedError()
			def 							__UpperCamelCase (			self							: str	)							->       int:

				"""simple docstring"""

				raise NotImplementedError()
			@property
			def 							__UpperCamelCase (			self							: Dict	)							->       Dict:

				"""simple docstring"""

				return self._lock_file_fd is not None
			def 							__UpperCamelCase (			self							: Optional[Any]      ,      a							: Tuple=None      ,      a							: int=0.05	)							->       Union[str, Any]:

				"""simple docstring"""

				if timeout is None:
					SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       self.timeout

				# Increment the number right at the beginning.
				# We can still undo it, if something fails.
				with self._thread_lock:
					self._lock_counter += 1

				SCREAMING_SNAKE_CASE   :      List[Any]				     =       id(self	)
				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       self._lock_file
				SCREAMING_SNAKE_CASE   :      Any				     =       time.time()
				try:
					while True:
						with self._thread_lock:
							if not self.is_locked:
								logger().debug(F"Attempting to acquire lock {lock_id} on {lock_filename}"	)
								self._acquire()

						if self.is_locked:
							logger().debug(F"Lock {lock_id} acquired on {lock_filename}"	)
							break
						elif timeout >= 0 and time.time() - start_time > timeout:
							logger().debug(F"Timeout on acquiring lock {lock_id} on {lock_filename}"	)
							raise Timeout(self._lock_file	)
						else:
							logger().debug(
							    F"Lock {lock_id} not acquired on {lock_filename}, waiting {poll_intervall} seconds ..."	)
							time.sleep(lowerCAmelCase_	)
				except:  # noqa
					# Something did go wrong, so decrement the counter.
					with self._thread_lock:
						SCREAMING_SNAKE_CASE   :      Tuple				     =       max(0      ,      self._lock_counter - 1	)

					raise
				return _Acquire_ReturnProxy(lock=self	)
			def 							__UpperCamelCase (			self							: Optional[int]      ,      a							: int=False	)							->       Tuple:

				"""simple docstring"""

				with self._thread_lock:
					if self.is_locked:
						self._lock_counter -= 1

						if self._lock_counter == 0 or force:
							SCREAMING_SNAKE_CASE   :      Tuple				     =       id(self	)
							SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       self._lock_file

							logger().debug(F"Attempting to release lock {lock_id} on {lock_filename}"	)
							self._release()
							SCREAMING_SNAKE_CASE   :      Optional[int]				     =       0
							logger().debug(F"Lock {lock_id} released on {lock_filename}"	)

				return None
			def __enter__(			self							: str	)							->       Optional[int]:

				"""simple docstring"""

				self.acquire()
				return self
			def __exit__(			self							: List[str]      ,      a							: Dict      ,      a							: Tuple      ,      a							: Optional[int]	)							->       Any:

				"""simple docstring"""

				self.release()
				return None
			def __del__(			self							: Optional[Any]	)							->       List[str]:

				"""simple docstring"""

				self.release(force=lowerCAmelCase_	)
				return None






			def 							__UpperCamelCase (			self							: Union[str, Any]      ,      a							: List[str]      ,      a							: Optional[Any]	)							->       str:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       os.path.basename(lowerCAmelCase_	)
				if len(lowerCAmelCase_	) > max_length and max_length > 0:
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       os.path.dirname(lowerCAmelCase_	)
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       str(hash(lowerCAmelCase_	)	)
					SCREAMING_SNAKE_CASE   :      str				     =       filename[: max_length - len(lowerCAmelCase_	) - 8] + "..." + hashed_filename + ".lock"
					return os.path.join(lowerCAmelCase_      ,      lowerCAmelCase_	)
				else:
					return path





class _UpperCamelCase							(							__a   ):
			'''simple docstring'''







			def __init__(			self							: Dict      ,      a							: str      ,      a							: Tuple=-1      ,      a							: List[str]=None	)							->       Tuple:

				"""simple docstring"""

				from .file_utils import relative_to_absolute_path

				super().__init__(lowerCAmelCase_      ,      timeout=lowerCAmelCase_      ,      max_filename_length=lowerCAmelCase_	)
				SCREAMING_SNAKE_CASE   :      str				     =       "\\\\?\\" + relative_to_absolute_path(self.lock_file	)
			def 							__UpperCamelCase (			self							: int	)							->       Optional[int]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       os.O_RDWR | os.O_CREAT | os.O_TRUNC

				try:
					SCREAMING_SNAKE_CASE   :      List[str]				     =       os.open(self._lock_file      ,      lowerCAmelCase_	)
				except OSError:
					pass
				else:
					try:
						msvcrt.locking(lowerCAmelCase_      ,      msvcrt.LK_NBLCK      ,      1	)
					except OSError:
						os.close(lowerCAmelCase_	)
					else:
						SCREAMING_SNAKE_CASE   :      List[Any]				     =       fd
				return None






			def 							__UpperCamelCase (			self							: Tuple	)							->       List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       self._lock_file_fd
				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       None
				msvcrt.locking(lowerCAmelCase_      ,      msvcrt.LK_UNLCK      ,      1	)
				os.close(lowerCAmelCase_	)

				try:
					os.remove(self._lock_file	)
				# Probably another instance of the application
				# that acquired the file lock.
				except OSError:
					pass
				return None





class _UpperCamelCase							(							__a   ):
			'''simple docstring'''







			def __init__(			self							: Optional[int]      ,      a							: Any      ,      a							: str=-1      ,      a							: int=None	)							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Tuple				     =       os.statvfs(os.path.dirname(lowerCAmelCase_	)	).f_namemax
				super().__init__(lowerCAmelCase_      ,      timeout=lowerCAmelCase_      ,      max_filename_length=lowerCAmelCase_	)
			def 							__UpperCamelCase (			self							: Tuple	)							->       Optional[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Tuple				     =       os.O_RDWR | os.O_CREAT | os.O_TRUNC
				SCREAMING_SNAKE_CASE   :      Any				     =       os.open(self._lock_file      ,      lowerCAmelCase_	)

				try:
					fcntl.flock(lowerCAmelCase_      ,      fcntl.LOCK_EX | fcntl.LOCK_NB	)
				except OSError:
					os.close(lowerCAmelCase_	)
				else:
					SCREAMING_SNAKE_CASE   :      Optional[int]				     =       fd
				return None






			def 							__UpperCamelCase (			self							: Any	)							->       Any:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Any				     =       self._lock_file_fd
				SCREAMING_SNAKE_CASE   :      Any				     =       None
				fcntl.flock(lowerCAmelCase_      ,      fcntl.LOCK_UN	)
				os.close(lowerCAmelCase_	)
				return None





class _UpperCamelCase							(							__a   ):
			'''simple docstring'''







			def 							__UpperCamelCase (			self							: str	)							->       List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
				try:
					SCREAMING_SNAKE_CASE   :      Tuple				     =       os.open(self._lock_file      ,      lowerCAmelCase_	)
				except OSError:
					pass
				else:
					SCREAMING_SNAKE_CASE   :      Tuple				     =       fd
				return None






			def 							__UpperCamelCase (			self							: int	)							->       List[str]:

				"""simple docstring"""

				os.close(self._lock_file_fd	)
				SCREAMING_SNAKE_CASE   :      Tuple				     =       None

				try:
					os.remove(self._lock_file	)
				# The file is already deleted and that's what we want.
				except OSError:
					pass
				return None

a_						     =    None

if msvcrt:
			a_						     =    WindowsFileLock
elif fcntl:
			a_						     =    UnixFileLock
else:
			a_						     =    SoftFileLock

			if warnings is not None:
						warnings.warn('only soft file lock is available')


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_						     =    256

def  lowerCamelCase__ (					_a):
	if len(_a) < MIN_NUM_TOKENS:
		return None
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       MinHash(num_perm=_a)
	for token in set(_a):
		min_hash.update(token.encode())
	return min_hash

def  lowerCamelCase__ (					_a):
	return {t for t in NON_ALPHA.split(_a) if len(t.strip()) > 0}






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Optional[Any]      ,      *,
			    a							: float = 0.85      ,      )							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       duplication_jaccard_threshold
				SCREAMING_SNAKE_CASE   :      Any				     =       NUM_PERM
				SCREAMING_SNAKE_CASE   :      int				     =       MinHashLSH(threshold=self._duplication_jaccard_threshold      ,      num_perm=self._num_perm	)

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       defaultdict(a	)
			def 							__UpperCamelCase (			self							: List[str]      ,      a							: Tuple      ,      a							: MinHash	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      int				     =       self._index.query(a	)
				if code_key in self._index.keys:
					print(F"Duplicate key {code_key}"	)
					return

				self._index.insert(a      ,      a	)
				if len(a	) > 0:
					for base_duplicate in close_duplicates:
						if base_duplicate in self._duplicate_clusters:
							self._duplicate_clusters[base_duplicate].add(a	)
							break
					else:
						self._duplicate_clusters[close_duplicates[0]].add(a	)
			def 							__UpperCamelCase (			self							: Optional[int]	)							->       List[List[Dict]]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      List[Any]				     =       []
				for base, duplicates in self._duplicate_clusters.items():
					SCREAMING_SNAKE_CASE   :      int				     =       [base] + list(a	)
					# reformat the cluster to be a list of dict
					SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       [{"base_index": el[0], "repo_name": el[1], "path": el[2]} for el in cluster]
					duplicate_clusters.append(a	)
				return duplicate_clusters






			def 							__UpperCamelCase (			self							: List[Any]      ,      a							: List[str]	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      int				     =       self.get_duplicate_clusters()
				with open(a      ,      "w"	) as f:
					json.dump(a      ,      a	)

def  lowerCamelCase__ (					_a):
	SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      List[str]				     =       element
	SCREAMING_SNAKE_CASE   :      Any				     =       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__ (					_a):
	with mp.Pool() as pool:
		for data in pool.imap_unordered(
		    _compute_min_hash							,			ThreadedIterator(_a							,			max_queue_size=10000)							,			chunksize=100							,			):
			if data is not None:
				yield data

def  lowerCamelCase__ (					_a							,			_a):
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       DuplicationIndex(duplication_jaccard_threshold=_a)

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

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

def  lowerCamelCase__ (					_a							,			_a):
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       get_tokens(_a)
	SCREAMING_SNAKE_CASE   :      List[str]				     =       get_tokens(_a)
	return len(tokensa & tokensa) / len(tokensa | tokensa)


a_						     =    None

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

def  lowerCamelCase__ (					_a							,			_a							,			_a):
	global _shared_dataset
	SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       dataset
	SCREAMING_SNAKE_CASE   :      str				     =       []
	SCREAMING_SNAKE_CASE   :      Dict				     =       partial(_find_cluster_extremes_shared							,			jaccard_threshold=_a)
	with mp.Pool() as pool:
		for extremes in tqdm(
		    pool.imap_unordered(
		        _a							,			_a							,			)							,			total=len(_a)							,			):
			extremes_list.append(_a)
	return extremes_list


def  lowerCamelCase__ (					_a							,			_a = 0.85):
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       make_duplicate_clusters(_a							,			_a)
	SCREAMING_SNAKE_CASE   :      Dict				     =       {x["base_index"] for cluster in duplicate_clusters for x in cluster}
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       {}
	SCREAMING_SNAKE_CASE   :      List[str]				     =       find_extremes(_a							,			_a							,			_a)
	for extremes in extremes_clusters:
		for element in extremes:
			SCREAMING_SNAKE_CASE   :      str				     =       element
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       duplicate_indices - set(extreme_dict.keys())
	SCREAMING_SNAKE_CASE   :      str				     =       dataset.filter(lambda _a							,			_a: idx not in remove_indices							,			with_indices=_a)

	# update duplicate_clusters
	for cluster in duplicate_clusters:
		for element in cluster:
			SCREAMING_SNAKE_CASE   :      Dict				     =       element["base_index"] in extreme_dict
			if element["is_extreme"]:
				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       extreme_dict[element["base_index"]]["copies"]

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

	return ds_filter, duplicate_clusters