
"""simple docstring"""
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowercase		:    Optional[int]			=       logging.get_logger(__name__)




class  _snake_case	(    _lowercase							):
							SCREAMING_SNAKE_CASE		  =    ['''input_ids''', '''attention_mask''']






							def __init__(       self    :      Any    ,			snake_case__    :      Tuple="[PAD]"    ,			snake_case__    :      List[Any]="[BOS]"    ,			snake_case__    :      Tuple="[EOS]"    ,			snake_case__    :      int="[MASK]"    ,			snake_case__    :      Tuple="[CLS]"    ,			snake_case__    :      int="[SEP]"    ,			snake_case__    :      Optional[int]=2_0_4_8    ,			**snake_case__    :      List[Any]    ,			):






												"""simple docstring"""



												__a:    int		     =       AddedToken(snake_case__    ,			lstrip=snake_case__    ,			rstrip=snake_case__     ) if isinstance(snake_case__    ,			snake_case__     ) else pad_token
												__a:    List[str]		     =       AddedToken(snake_case__    ,			lstrip=snake_case__    ,			rstrip=snake_case__     ) if isinstance(snake_case__    ,			snake_case__     ) else bos_token
												__a:    str		     =       AddedToken(snake_case__    ,			lstrip=snake_case__    ,			rstrip=snake_case__     ) if isinstance(snake_case__    ,			snake_case__     ) else eos_token
												__a:    Any		     =       AddedToken(snake_case__    ,			lstrip=snake_case__    ,			rstrip=snake_case__     ) if isinstance(snake_case__    ,			snake_case__     ) else mask_token
												__a:    str		     =       AddedToken(snake_case__    ,			lstrip=snake_case__    ,			rstrip=snake_case__     ) if isinstance(snake_case__    ,			snake_case__     ) else cls_token
												__a:    List[Any]		     =       AddedToken(snake_case__    ,			lstrip=snake_case__    ,			rstrip=snake_case__     ) if isinstance(snake_case__    ,			snake_case__     ) else sep_token

												super().__init__(
												    pad_token=snake_case__    ,			bos_token=snake_case__    ,			eos_token=snake_case__    ,			mask_token=snake_case__    ,			cls_token=snake_case__    ,			sep_token=snake_case__    ,			model_max_length=snake_case__    ,			**snake_case__    ,			)

												__a:    Tuple		     =       2**8  # utf is 8 bits

												# define special tokens dict
												__a:    Dict[str, int]		     =       {
												    self.pad_token: 0,
												    self.bos_token: 1,
												    self.eos_token: 2,
												    self.mask_token: 3,
												    self.cls_token: 4,
												    self.sep_token: 5,
												}
												__a:    Tuple		     =       len(self.special_tokens_encoder     )
												__a:    Dict[int, str]		     =       {v: k for k, v in self.special_tokens_encoder.items()}






							def 				__lowercase	(       self    :      List[Any]     ):






												"""simple docstring"""



												__a:    Any		     =       self.special_tokens_encoder.copy()
												vocab.update(self.added_tokens_encoder     )
												for i in range(self._utf_vocab_size     ):
																	__a:    List[str]		     =       chr(snake_case__     )
																	__a:    Optional[Any]		     =       i + len(self.special_tokens_encoder     )
												return vocab






							@property
							def 				__lowercase	(       self    :      Any     ):






												"""simple docstring"""



												return self._utf_vocab_size + self._num_special_tokens






							def 				__lowercase	(       self    :      List[Any]    ,			snake_case__    :      List[int]    ,			snake_case__    :      Optional[List[int]] = None    ,			snake_case__    :      bool = False     ):






												"""simple docstring"""



												if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=snake_case__    ,			token_ids_a=snake_case__    ,			already_has_special_tokens=snake_case__     )

												# normal case: some special tokens
												if token_ids_a is None:
																	return [1] + [0] * len(snake_case__     ) + [1]
												return [1] + ([0] * len(snake_case__     )) + [1] + ([0] * len(snake_case__     )) + [1]






							def 				__lowercase	(       self    :      Any    ,			snake_case__    :      List[int]    ,			snake_case__    :      Optional[List[int]] = None     ):






												"""simple docstring"""



												if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												else:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]






							def 				__lowercase	(       self    :      int    ,			snake_case__    :      str     ):






												"""simple docstring"""



												__a:    Dict		     =       [chr(snake_case__     ) for i in text.encode("""utf-8"""     )]
												return tokens






							def 				__lowercase	(       self    :      List[Any]    ,			snake_case__    :      List[str]     ):






												"""simple docstring"""



												if token in self.special_tokens_encoder:
																	__a:    List[str]		     =       self.special_tokens_encoder[token]
												elif token in self.added_tokens_encoder:
																	__a:    Tuple		     =       self.added_tokens_encoder[token]
												elif len(snake_case__     ) != 1:
																	__a:    Tuple		     =       self.unk_token_id
												else:
																	__a:    Tuple		     =       ord(snake_case__     ) + self._num_special_tokens
												return token_id






							def 				__lowercase	(       self    :      List[str]    ,			snake_case__    :      Union[str, Any]     ):






												"""simple docstring"""



												if index in self.special_tokens_decoder:
																	__a:    Optional[Any]		     =       self.special_tokens_decoder[index]
												elif index in self.added_tokens_decoder:
																	__a:    int		     =       self.added_tokens_decoder[index]
												else:
																	__a:    int		     =       chr(index - self._num_special_tokens     )
												return token






							def 				__lowercase	(       self    :      str    ,			snake_case__    :      str     ):






												"""simple docstring"""



												__a:    Union[str, Any]		     =       B""""""
												for token in tokens:
																	if token in self.special_tokens_decoder:
																						__a:    Optional[int]		     =       self.special_tokens_decoder[token].encode("""utf-8"""     )
																	elif token in self.added_tokens_decoder:
																						__a:    Optional[Any]		     =       self.special_tokens_decoder[token].encode("""utf-8"""     )
																	elif token in self.special_tokens_encoder:
																						__a:    Optional[int]		     =       token.encode("""utf-8"""     )
																	elif token in self.added_tokens_encoder:
																						__a:    Optional[Any]		     =       token.encode("""utf-8"""     )
																	else:
																						__a:    List[Any]		     =       bytes([ord(snake_case__     )]     )
																	bstring += tok_string
												__a:    int		     =       bstring.decode("""utf-8"""    ,			errors="""replace"""     )
												return string






							def 				__lowercase	(       self    :      Union[str, Any]    ,			snake_case__    :      str    ,			snake_case__    :      Optional[str] = None     ):






												"""simple docstring"""



												return ()


"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowercase		:    Tuple			=       {
    'configuration_codegen': ['CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CodeGenConfig', 'CodeGenOnnxConfig'],
    'tokenization_codegen': ['CodeGenTokenizer'],
}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase		:    int			=       ['CodeGenTokenizerFast']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase		:    Optional[int]			=       [
			    'CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'CodeGenForCausalLM',
			    'CodeGenModel',
			    'CodeGenPreTrainedModel',
			]

if TYPE_CHECKING:
			from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
			from .tokenization_codegen import CodeGenTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_codegen_fast import CodeGenTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_codegen import (
						    CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    CodeGenForCausalLM,
						    CodeGenModel,
						    CodeGenPreTrainedModel,
						)

else:
			import sys

			lowercase		:    Optional[Any]			=       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
