


from typing import TYPE_CHECKING

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


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

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

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase      						=    [
						    '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

						__UpperCamelCase      						=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
						if is_torch_available():
												import torch
						if is_tf_available():
												import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


__UpperCamelCase      						=    logging.get_logger(__name__)

__UpperCamelCase      						=    {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

__UpperCamelCase      						=    {
    'vocab_file': {
        'Salesforce/codegen-350M-mono': 'https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json',
    },
    'merges_file': {
        'Salesforce/codegen-350M-mono': 'https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt',
    },
}

__UpperCamelCase      						=    {
    'Salesforce/codegen-350M-mono': 2_0_4_8,
}
@lru_cache()
def     UpperCamelCase_(			)->						Tuple:
			UpperCamelCase__   =    (
			    list(range(ord("!"					)			,       ord("~"					) + 1					)					) + list(range(ord("¡"					)			,       ord("¬"					) + 1					)					) + list(range(ord("®"					)			,       ord("ÿ"					) + 1					)					)
			)
			UpperCamelCase__   =    bs[:]
			UpperCamelCase__   =    0
			for b in range(2**8					):
						if b not in bs:
									bs.append(_A					)
									cs.append(2**8 + n					)
									n += 1
			UpperCamelCase__   =    [chr(_A					) for n in cs]
			return dict(zip(_A			,       _A					)					)
def     UpperCamelCase_(			_A				:Tuple					)->						Optional[Any]:
			UpperCamelCase__   =    set()
			UpperCamelCase__   =    word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)					)
						UpperCamelCase__   =    char
			return pairs







class     lowerCamelCase__		(							UpperCAmelCase ):






			"""simple docstring"""






			_UpperCamelCase						:   Optional[Any]					=						VOCAB_FILES_NAMES
			_UpperCamelCase						:   List[Any]					=						PRETRAINED_VOCAB_FILES_MAP
			_UpperCamelCase						:   Any					=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_UpperCamelCase						:   int					=						['input_ids', 'attention_mask']




			def __init__(							self ,  snake_case ,  snake_case ,  snake_case="replace" ,  snake_case="<|endoftext|>" ,  snake_case="<|endoftext|>" ,  snake_case="<|endoftext|>" ,  snake_case=None ,  snake_case=False ,  snake_case=False ,  **snake_case ,  ):

						'''simple docstring'''


						UpperCamelCase__   =    AddedToken(snake_case ,  lstrip=snake_case ,  rstrip=snake_case       ) if isinstance(snake_case ,  snake_case       ) else bos_token
						UpperCamelCase__   =    AddedToken(snake_case ,  lstrip=snake_case ,  rstrip=snake_case       ) if isinstance(snake_case ,  snake_case       ) else eos_token
						UpperCamelCase__   =    AddedToken(snake_case ,  lstrip=snake_case ,  rstrip=snake_case       ) if isinstance(snake_case ,  snake_case       ) else unk_token
						UpperCamelCase__   =    AddedToken(snake_case ,  lstrip=snake_case ,  rstrip=snake_case       ) if isinstance(snake_case ,  snake_case       ) else pad_token
						super().__init__(
						    errors=snake_case ,  unk_token=snake_case ,  bos_token=snake_case ,  eos_token=snake_case ,  pad_token=snake_case ,  add_prefix_space=snake_case ,  add_bos_token=snake_case ,  **snake_case ,  )
						UpperCamelCase__   =    add_bos_token

						with open(snake_case ,  encoding="utf-8"       ) as vocab_handle:
									UpperCamelCase__   =    json.load(snake_case       )
						UpperCamelCase__   =    {v: k for k, v in self.encoder.items()}
						UpperCamelCase__   =    errors  # how to handle errors in decoding
						UpperCamelCase__   =    bytes_to_unicode()
						UpperCamelCase__   =    {v: k for k, v in self.byte_encoder.items()}
						with open(snake_case ,  encoding="utf-8"       ) as merges_handle:
									UpperCamelCase__   =    merges_handle.read().split("\n"       )[1:-1]
						UpperCamelCase__   =    [tuple(merge.split()       ) for merge in bpe_merges]
						UpperCamelCase__   =    dict(zip(snake_case ,  range(len(snake_case       )       )       )       )
						UpperCamelCase__   =    {}
						UpperCamelCase__   =    add_prefix_space

						# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
						UpperCamelCase__   =    re.compile(R"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"       )




			@property
			def 			snake_case__			(							self       ):

						'''simple docstring'''


						return len(self.encoder       )




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						return dict(self.encoder ,  **self.added_tokens_encoder       )




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						if token in self.cache:
									return self.cache[token]
						UpperCamelCase__   =    tuple(snake_case       )
						UpperCamelCase__   =    get_pairs(snake_case       )

						if not pairs:
									return token

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

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




			def 			snake_case__			(							self ,  snake_case ,  snake_case=None       ):

						'''simple docstring'''


						if self.add_bos_token:
									UpperCamelCase__   =    [self.bos_token_id]
						else:
									UpperCamelCase__   =    []

						UpperCamelCase__   =    bos_token_ids + token_ids_a

						if token_ids_a is None:
									return output

						return output + bos_token_ids + token_ids_a




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						UpperCamelCase__   =    []
						for token in re.findall(self.pat ,  snake_case       ):
									UpperCamelCase__   =    "".join(
									    self.byte_encoder[b] for b in token.encode("utf-8"       )       )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
									bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case       ).split(" "       )       )
						return bpe_tokens




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						return self.encoder.get(snake_case ,  self.encoder.get(self.unk_token       )       )




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						return self.decoder.get(snake_case       )




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						UpperCamelCase__   =    "".join(snake_case       )
						UpperCamelCase__   =    bytearray([self.byte_decoder[c] for c in text]       ).decode("utf-8" ,  errors=self.errors       )
						return text




			def 			snake_case__			(							self ,  snake_case ,  snake_case = None       ):

						'''simple docstring'''


						if not os.path.isdir(snake_case       ):
									logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''       )
									return
						UpperCamelCase__   =    os.path.join(
						    snake_case ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )
						UpperCamelCase__   =    os.path.join(
						    snake_case ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]       )

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

						UpperCamelCase__   =    0
						with open(snake_case ,  "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 snake_case       : 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!"       )
															UpperCamelCase__   =    token_index
												writer.write(" ".join(snake_case       ) + "\n"       )
												index += 1

						return vocab_file, merge_file




			def 			snake_case__			(							self ,  snake_case ,  snake_case=False ,  **snake_case       ):

						'''simple docstring'''


						UpperCamelCase__   =    kwargs.pop("add_prefix_space" ,  self.add_prefix_space       )
						if is_split_into_words or add_prefix_space:
									UpperCamelCase__   =    " " + text
						return (text, kwargs)




			def 			snake_case__			(							self ,  snake_case ,  snake_case = False ,  snake_case = None ,  snake_case = None ,  **snake_case ,  ):

						'''simple docstring'''


						UpperCamelCase__   =    super()._decode(
						    token_ids=snake_case ,  skip_special_tokens=snake_case ,  clean_up_tokenization_spaces=snake_case ,  **snake_case ,  )

						if truncate_before_pattern is not None and len(snake_case       ) > 0:
									UpperCamelCase__   =    self.truncate(snake_case ,  snake_case       )

						return decoded_text







			def 			snake_case__			(							self ,  snake_case ,  snake_case       ):

						'''simple docstring'''


						def find_re(snake_case ,  snake_case ,  snake_case       ):
									UpperCamelCase__   =    pattern.search(snake_case ,  snake_case       )
									return m.start() if m else -1

						UpperCamelCase__   =    [re.compile(snake_case ,  re.MULTILINE       ) for pattern in truncate_before_pattern]

						UpperCamelCase__   =    list(re.finditer("^print" ,  snake_case ,  re.MULTILINE       )       )

						if len(snake_case       ) > 1:
									UpperCamelCase__   =    completion[: prints[1].start()]

						UpperCamelCase__   =    list(re.finditer("^def" ,  snake_case ,  re.MULTILINE       )       )

						if len(snake_case       ) > 1:
									UpperCamelCase__   =    completion[: defs[1].start()]

						UpperCamelCase__   =    0

						UpperCamelCase__   =    [
						    pos for pos in [find_re(snake_case ,  snake_case ,  snake_case       ) for terminal in terminals] if pos != -1
						]

						if len(snake_case       ) > 0:
									return completion[: min(snake_case       )]
						else:
									return completion


