
import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE							:int							 =				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

SCREAMING_SNAKE_CASE							:List[str]							 =				{
    'vocab_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'},
    'merges_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'},
}

SCREAMING_SNAKE_CASE							:List[Any]							 =				{
    'ctrl': 256,
}

SCREAMING_SNAKE_CASE							:Optional[Any]							 =				{
    'Pregnancy': 16_8629,
    'Christianity': 7675,
    'Explain': 10_6423,
    'Fitness': 6_3440,
    'Saving': 6_3163,
    'Ask': 2_7171,
    'Ass': 9_5985,
    'Joke': 16_3509,
    'Questions': 4_5622,
    'Thoughts': 4_9605,
    'Retail': 5_2342,
    'Feminism': 16_4338,
    'Writing': 1_1992,
    'Atheism': 19_2263,
    'Netflix': 4_8616,
    'Computing': 3_9639,
    'Opinion': 4_3213,
    'Alone': 4_4967,
    'Funny': 5_8917,
    'Gaming': 4_0358,
    'Human': 4088,
    'India': 1331,
    'Joker': 7_7138,
    'Diet': 3_6206,
    'Legal': 1_1859,
    'Norman': 4939,
    'Tip': 7_2689,
    'Weight': 5_2343,
    'Movies': 4_6273,
    'Running': 2_3425,
    'Science': 2090,
    'Horror': 3_7793,
    'Confession': 6_0572,
    'Finance': 1_2250,
    'Politics': 1_6360,
    'Scary': 19_1985,
    'Support': 1_2654,
    'Technologies': 3_2516,
    'Teenage': 6_6160,
    'Event': 3_2769,
    'Learned': 6_7460,
    'Notion': 18_2770,
    'Wikipedia': 3_7583,
    'Books': 6665,
    'Extract': 7_6050,
    'Confessions': 10_2701,
    'Conspiracy': 7_5932,
    'Links': 6_3674,
    'Narcissus': 15_0425,
    'Relationship': 5_4766,
    'Relationships': 13_4796,
    'Reviews': 4_1671,
    'News': 4256,
    'Translation': 2_6820,
    'multilingual': 12_8406,
}


def 						UpperCAmelCase			(	a_						)		->	Union[str, Any]:







				"""simple docstring"""



				__A   			= set()
				__A   			= word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)						)
								__A   			= char

				__A   			= set(a_						)
				return pairs





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     VOCAB_FILES_NAMES
	snake_case_					    =     PRETRAINED_VOCAB_FILES_MAP
	snake_case_					    =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case_					    =     CONTROL_CODES






	def __init__(       self					: Dict							,A					: List[Any]							,A					: Tuple							,A					: Optional[int]="<unk>"							,**A					: str ):
					super().__init__(unk_token=A							,**A )

					with open(A							,encoding="utf-8" ) as vocab_handle:
									__A   			= json.load(A )
					__A   			= {v: k for k, v in self.encoder.items()}
					with open(A							,encoding="utf-8" ) as merges_handle:
									__A   			= merges_handle.read().split("\n" )[1:-1]
					__A   			= [tuple(merge.split() ) for merge in merges]
					__A   			= dict(zip(A							,range(len(A ) ) ) )
					__A   			= {}






	@property
	def 				UpperCamelCase_  (       self					: int ):
					return len(self.encoder )






	def 				UpperCamelCase_  (       self					: Optional[Any] ):
					return dict(self.encoder							,**self.added_tokens_encoder )






	def 				UpperCamelCase_  (       self					: Any							,A					: Optional[Any] ):
					if token in self.cache:
									return self.cache[token]
					__A   			= tuple(A )
					__A   			= tuple(list(word[:-1] ) + [word[-1] + "</w>"] )
					__A   			= get_pairs(A )

					if not pairs:
									return token

					while True:
									__A   			= min(A							,key=lambda A : self.bpe_ranks.get(A							,float("inf" ) ) )
									if bigram not in self.bpe_ranks:
													break
									__A			,							__A   			= bigram
									__A   			= []
									__A   			= 0
									while i < len(A ):
													try:
																	__A   			= word.index(A							,A )
													except ValueError:
																	new_word.extend(word[i:] )
																	break
													else:
																	new_word.extend(word[i:j] )
																	__A   			= j

													if word[i] == first and i < len(A ) - 1 and word[i + 1] == second:
																	new_word.append(first + second )
																	i += 2
													else:
																	new_word.append(word[i] )
																	i += 1
									__A   			= tuple(A )
									__A   			= new_word
									if len(A ) == 1:
													break
									else:
													__A   			= get_pairs(A )
					__A   			= "@@ ".join(A )
					__A   			= word[:-4]
					__A   			= word
					return word






	def 				UpperCamelCase_  (       self					: Tuple							,A					: Optional[Any] ):
					__A   			= []

					__A   			= re.findall(R"\S+\n?"							,A )

					for token in words:
									split_tokens.extend(list(self.bpe(A ).split(" " ) ) )
					return split_tokens






	def 				UpperCamelCase_  (       self					: int							,A					: Optional[Any] ):
					return self.encoder.get(A							,self.encoder.get(self.unk_token ) )






	def 				UpperCamelCase_  (       self					: List[str]							,A					: Dict ):
					return self.decoder.get(A							,self.unk_token )






	def 				UpperCamelCase_  (       self					: Optional[int]							,A					: Union[str, Any] ):
					__A   			= " ".join(A ).replace("@@ "							,"" ).strip()
					return out_string







	def 				UpperCamelCase_  (       self					: Dict							,A					: str							,A					: Optional[str] = None ):
					if not os.path.isdir(A ):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
									return
					__A   			= os.path.join(
					    A							,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
					__A   			= os.path.join(
					    A							,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"] )

					with open(A							,"w"							,encoding="utf-8" ) as f:
									f.write(json.dumps(self.encoder							,indent=2							,sort_keys=A							,ensure_ascii=A ) + "\n" )

					__A   			= 0
					with open(A							,"w"							,encoding="utf-8" ) as writer:
									writer.write("#version: 0.2\n" )
									for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,key=lambda A : kv[1] ):
													if index != token_index:
																	logger.warning(
																	    f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																	    " Please check that the tokenizer is not corrupted!" )
																	__A   			= token_index
													writer.write(" ".join(A ) + "\n" )
													index += 1

					return vocab_file, merge_file

	# def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
	#     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
	#     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
	#     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
	#     return ''.join(tokens_generated_so_far)


import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


SCREAMING_SNAKE_CASE							:Optional[int]							 =				NewType('DataClass', Any)
SCREAMING_SNAKE_CASE							:int							 =				NewType('DataClassType', Any)


def 						UpperCAmelCase			(	a_						)		->	Optional[int]:







				"""simple docstring"""



				if isinstance(a_		,   a_						):
								return v
				if v.lower() in ("yes", "true", "t", "y", "1"):
								return True
				elif v.lower() in ("no", "false", "f", "n", "0"):
								return False
				else:
								raise ArgumentTypeError(
								    F'''Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'''						)


def 						UpperCAmelCase			(	a_						)		->	Callable[[str], Any]:







				"""simple docstring"""



				__A   			= {str(a_						): choice for choice in choices}
				return lambda a_						: str_to_choice.get(a_		,   a_						)


def 						UpperCAmelCase			(	*,
    a_ = None		,   a_ = None		,   a_ = dataclasses.MISSING		,   a_ = dataclasses.MISSING		,   a_ = None		,   **a_		,   )		->	dataclasses.Field:







				"""simple docstring"""



				if metadata is None:
								# Important, don't use as default param in function signature because dict is mutable and shared across function calls
								__A   			= {}
				if aliases is not None:
								__A   			= aliases
				if help is not None:
								__A   			= help

				return dataclasses.field(metadata=a_		,   default=a_		,   default_factory=a_		,   **a_						)





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     42






	def __init__(       self					: Union[str, Any]							,A					: Union[DataClassType, Iterable[DataClassType]]							,**A					: List[Any] ):
					# To make the default appear when using --help
					if "formatter_class" not in kwargs:
									__A   			= ArgumentDefaultsHelpFormatter
					super().__init__(**A )
					if dataclasses.is_dataclass(A ):
									__A   			= [dataclass_types]
					__A   			= list(A )
					for dtype in self.dataclass_types:
									self._add_dataclass_arguments(A )






	@staticmethod
	def 				UpperCamelCase_  (       A					: ArgumentParser							,A					: dataclasses.Field ):
					__A   			= f'''--{field.name}'''
					__A   			= field.metadata.copy()
					# field.metadata is not used at all by Data Classes,
					# it is provided as a third-party extension mechanism.
					if isinstance(field.type							,A ):
									raise RuntimeError(
									    "Unresolved type detected, which should have been done with the help of "
									    "`typing.get_type_hints` method by default" )

					__A   			= kwargs.pop("aliases"							,[] )
					if isinstance(A							,A ):
									__A   			= [aliases]

					__A   			= getattr(field.type							,"__origin__"							,field.type )
					if origin_type is Union or (hasattr(A							,"UnionType" ) and isinstance(A							,types.UnionType )):
									if str not in field.type.__args__ and (
									    len(field.type.__args__ ) != 2 or type(A ) not in field.type.__args__
									):
													raise ValueError(
													    "Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"
													    " the argument parser only supports one type per argument."
													    f''' Problem encountered in field \'{field.name}\'.''' )
									if type(A ) not in field.type.__args__:
													# filter `str` in Union
													__A   			= field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
													__A   			= getattr(field.type							,"__origin__"							,field.type )
									elif bool not in field.type.__args__:
													# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
													__A   			= (
													    field.type.__args__[0] if isinstance(A							,field.type.__args__[1] ) else field.type.__args__[1]
													)
													__A   			= getattr(field.type							,"__origin__"							,field.type )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
					__A   			= {}
					if origin_type is Literal or (isinstance(field.type							,A ) and issubclass(field.type							,A )):
									if origin_type is Literal:
													__A   			= field.type.__args__
									else:
													__A   			= [x.value for x in field.type]

									__A   			= make_choice_type_function(kwargs["choices"] )

									if field.default is not dataclasses.MISSING:
													__A   			= field.default
									else:
													__A   			= True
					elif field.type is bool or field.type == Optional[bool]:
									# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
									# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
									__A   			= copy(A )

									# Hack because type=bool in argparse does not behave as we want.
									__A   			= string_to_bool
									if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
													# Default value is False if we have no default when of type bool.
													__A   			= False if field.default is dataclasses.MISSING else field.default
													# This is the value that will get picked if we don't include --field_name in any way
													__A   			= default
													# This tells argparse we accept 0 or 1 value after --field_name
													__A   			= "?"
													# This is the value that will get picked if we do --field_name (without value)
													__A   			= True
					elif isclass(A ) and issubclass(A							,A ):
									__A   			= field.type.__args__[0]
									__A   			= "+"
									if field.default_factory is not dataclasses.MISSING:
													__A   			= field.default_factory()
									elif field.default is dataclasses.MISSING:
													__A   			= True
					else:
									__A   			= field.type
									if field.default is not dataclasses.MISSING:
													__A   			= field.default
									elif field.default_factory is not dataclasses.MISSING:
													__A   			= field.default_factory()
									else:
													__A   			= True
					parser.add_argument(A							,*A							,**A )

					# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
					# Order is important for arguments with the same destination!
					# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
					# here and we do not need those changes/additional keys.
					if field.default is True and (field.type is bool or field.type == Optional[bool]):
									__A   			= False
									parser.add_argument(f'''--no_{field.name}'''							,action="store_false"							,dest=field.name							,**A )






	def 				UpperCamelCase_  (       self					: Union[str, Any]							,A					: DataClassType ):
					if hasattr(A							,"_argument_group_name" ):
									__A   			= self.add_argument_group(dtype._argument_group_name )
					else:
									__A   			= self

					try:
									__A   			= get_type_hints(A )
					except NameError:
									raise RuntimeError(
									    f'''Type resolution failed for {dtype}. Try declaring the class in global scope or '''
									    "removing line of `from __future__ import annotations` which opts in Postponed "
									    "Evaluation of Annotations (PEP 563)" )
					except TypeError as ex:
									# Remove this block when we drop Python 3.9 support
									if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(A ):
													__A   			= ".".join(map(A							,sys.version_info[:3] ) )
													raise RuntimeError(
													    f'''Type resolution failed for {dtype} on Python {python_version}. Try removing '''
													    "line of `from __future__ import annotations` which opts in union types as "
													    "`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To "
													    "support Python versions that lower than 3.10, you need to use "
													    "`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of "
													    "`X | None`." ) from ex
									raise

					for field in dataclasses.fields(A ):
									if not field.init:
													continue
									__A   			= type_hints[field.name]
									self._parse_dataclass_field(A							,A )






	def 				UpperCamelCase_  (       self					: Union[str, Any]							,A					: List[Any]=None							,A					: List[Any]=False							,A					: Optional[Any]=True							,A					: Union[str, Any]=None							,A					: Union[str, Any]=None							,):

					if args_file_flag or args_filename or (look_for_args_file and len(sys.argv )):
									__A   			= []

									if args_filename:
													args_files.append(Path(A ) )
									elif look_for_args_file and len(sys.argv ):
													args_files.append(Path(sys.argv[0] ).with_suffix(".args" ) )

									# args files specified via command line flag should overwrite default args files so we add them last
									if args_file_flag:
													# Create special parser just to extract the args_file_flag values
													__A   			= ArgumentParser()
													args_file_parser.add_argument(A							,type=A							,action="append" )

													# Use only remaining args for further parsing (remove the args_file_flag)
													__A			,							__A   			= args_file_parser.parse_known_args(args=A )
													__A   			= vars(A ).get(args_file_flag.lstrip("-" )							,A )

													if cmd_args_file_paths:
																	args_files.extend([Path(A ) for p in cmd_args_file_paths] )

									__A   			= []
									for args_file in args_files:
													if args_file.exists():
																	file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
									__A   			= file_args + args if args is not None else file_args + sys.argv[1:]
					__A			,							__A   			= self.parse_known_args(args=A )
					__A   			= []
					for dtype in self.dataclass_types:
									__A   			= {f.name for f in dataclasses.fields(A ) if f.init}
									__A   			= {k: v for k, v in vars(A ).items() if k in keys}
									for k in keys:
													delattr(A							,A )
									__A   			= dtype(**A )
									outputs.append(A )
					if len(namespace.__dict__ ) > 0:
									# additional namespace.
									outputs.append(A )
					if return_remaining_strings:
									return (*outputs, remaining_args)
					else:
									if remaining_args:
													raise ValueError(f'''Some specified arguments are not used by the HfArgumentParser: {remaining_args}''' )

									return (*outputs,)






	def 				UpperCamelCase_  (       self					: Dict							,A					: Dict[str, Any]							,A					: bool = False ):
					__A   			= set(args.keys() )
					__A   			= []
					for dtype in self.dataclass_types:
									__A   			= {f.name for f in dataclasses.fields(A ) if f.init}
									__A   			= {k: v for k, v in args.items() if k in keys}
									unused_keys.difference_update(inputs.keys() )
									__A   			= dtype(**A )
									outputs.append(A )
					if not allow_extra_keys and unused_keys:
									raise ValueError(f'''Some keys are not used by the HfArgumentParser: {sorted(A )}''' )
					return tuple(A )






	def 				UpperCamelCase_  (       self					: List[str]							,A					: str							,A					: bool = False ):
					with open(Path(A )							,encoding="utf-8" ) as open_json_file:
									__A   			= json.loads(open_json_file.read() )
					__A   			= self.parse_dict(A							,allow_extra_keys=A )
					return tuple(A )







	def 				UpperCamelCase_  (       self					: int							,A					: str							,A					: bool = False ):
					__A   			= self.parse_dict(yaml.safe_load(Path(A ).read_text() )							,allow_extra_keys=A )
					return tuple(A )
