





'''simple docstring'''




import json
import re
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np

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 tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_codegen import CodeGenTokenizer


_SCREAMING_SNAKE_CASE							     =			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							     =			{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_SCREAMING_SNAKE_CASE							     =			{
    "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",
    },
    "tokenizer_file": {
        "Salesforce/codegen-350M-mono": (
            "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/tokenizer.json"
        ),
    },
}

_SCREAMING_SNAKE_CASE							     =			{
    "Salesforce/codegen-350M-mono": 2048,
}
class 			_lowerCAmelCase		(			A__	):






     """simple docstring"""






     snake_case_						      =   VOCAB_FILES_NAMES
     snake_case_						      =   PRETRAINED_VOCAB_FILES_MAP
     snake_case_						      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     snake_case_						      =   ["input_ids", "attention_mask"]
     snake_case_						      =   CodeGenTokenizer



     def __init__(   self							:			Union[str, Any]   ,       __snake_case							:			Any=None   ,       __snake_case							:			List[Any]=None   ,       __snake_case							:			str=None   ,       __snake_case							:			Union[str, Any]="<|endoftext|>"   ,       __snake_case							:			List[Any]="<|endoftext|>"   ,       __snake_case							:			Tuple="<|endoftext|>"   ,       __snake_case							:			List[Any]=False   ,       **__snake_case							:			List[str]   ,       )->	Optional[Any]:
        super().__init__(
            __snake_case   ,       __snake_case   ,       tokenizer_file=__snake_case   ,       unk_token=__snake_case   ,       bos_token=__snake_case   ,       eos_token=__snake_case   ,       add_prefix_space=__snake_case   ,       **__snake_case   ,       )

        if kwargs.pop("""add_bos_token"""   ,       __snake_case						):
           snake_case 						=   kwargs.pop("""name_or_path"""   ,       """"""						)
           raise ValueError(
               """Currenty GPT2's fast tokenizer does NOT support adding a BOS token."""
               """Instead you should use GPT2's slow tokenizer class `CodeGenTokenizer` as follows: \n"""
               f'''`CodeGenTokenizer.from_pretrained(\'{model_id}\')`\nor\n'''
               f'''`AutoTokenizer.from_pretrained(\'{model_id}\', use_fast=False)`\n'''
               """This issue will be fixed soon, see: https://github.com/huggingface/tokenizers/pull/1005."""
               """ so that the fast tokenizer works correctly."""						)

        snake_case 						=   json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
        if pre_tok_state.get("""add_prefix_space"""   ,       __snake_case						) != add_prefix_space:
           snake_case 						=   getattr(__snake_case   ,       pre_tok_state.pop("""type"""						)						)
           snake_case 						=   add_prefix_space
           snake_case 						=   pre_tok_class(**__snake_case						)

        snake_case 						=   add_prefix_space



     def      lowerCAmelCase			(   self							:			List[str]   ,       *__snake_case							:			List[Any]   ,       **__snake_case							:			Optional[Any]						)->	BatchEncoding:
        snake_case 						=   kwargs.get("""is_split_into_words"""   ,       __snake_case						)
        assert self.add_prefix_space or not is_split_into_words, (
            f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs."
        )

        return super()._batch_encode_plus(*__snake_case   ,       **__snake_case						)



     def      lowerCAmelCase			(   self							:			List[str]   ,       *__snake_case							:			Optional[Any]   ,       **__snake_case							:			List[Any]						)->	BatchEncoding:
        snake_case 						=   kwargs.get("""is_split_into_words"""   ,       __snake_case						)

        assert self.add_prefix_space or not is_split_into_words, (
            f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs."
        )

        return super()._encode_plus(*__snake_case   ,       **__snake_case						)



     def      lowerCAmelCase			(   self							:			Optional[Any]   ,       __snake_case							:			str   ,       __snake_case							:			Optional[str] = None						)->	Tuple[str]:
        snake_case 						=   self._tokenizer.model.save(__snake_case   ,       name=__snake_case						)
        return tuple(__snake_case						)



     def      lowerCAmelCase			(   self							:			List[Any]   ,       __snake_case							:			Union[int, List[int], "np.ndarray", "torch.Tensor", "tf.Tensor"]   ,       __snake_case							:			bool = False   ,       __snake_case							:			bool = None   ,       __snake_case							:			Optional[List[str]] = None   ,       **__snake_case							:			List[Any]   ,       )->	str:
        snake_case 						=   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:
           snake_case 						=   self.truncate(__snake_case   ,       __snake_case						)

        return decoded_text



     def      lowerCAmelCase			(   self							:			int   ,       __snake_case							:			Any   ,       __snake_case							:			Any						)->	List[Any]:
        def find_re(__snake_case							:			str   ,       __snake_case							:			Any   ,       __snake_case							:			List[str]						):
           snake_case 						=   pattern.search(__snake_case   ,       __snake_case						)
           return m.start() if m else -1

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

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

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

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

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

        snake_case 						=   0

        snake_case 						=   [
            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








'''simple docstring'''




import os
from collections.abc import Iterator





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str = "."		)		->  Iterator[str]:
   for dir_path, dir_names, filenames in os.walk(__lowerCAmelCase		):
      snake_case 						=   [d for d in dir_names if d != """scripts""" and d[0] not in """._"""]
      for filename in filenames:
         if filename == "__init__.py":
            continue
         if os.path.splitext(__lowerCAmelCase		)[1] in (".py", ".ipynb"):
            yield os.path.join(__lowerCAmelCase      ,    __lowerCAmelCase		).lstrip("""./"""		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							List[str]		)		->  Any:
   return F'''{i * "  "}*''' if i else "\n##"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							str		)		->  str:
   snake_case 						=   old_path.split(os.sep		)
   for i, new_part in enumerate(new_path.split(os.sep		)		):
      if (i + 1 > len(__lowerCAmelCase		) or old_parts[i] != new_part) and new_part:
         print(F'''{md_prefix(__lowerCAmelCase		)} {new_part.replace("_"      ,    " "		).title()}'''		)
   return new_path





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str = "."		)		->  None:
   snake_case 						=   """"""
   for filepath in sorted(good_file_paths(__lowerCAmelCase		)		):
      snake_case						,    snake_case 						=   os.path.split(__lowerCAmelCase		)
      if filepath != old_path:
         snake_case 						=   print_path(__lowerCAmelCase      ,    __lowerCAmelCase		)
      snake_case 						=   (filepath.count(os.sep		) + 1) if filepath else 0
      snake_case 						=   F'''{filepath}/{filename}'''.replace(""" """      ,    """%20"""		)
      snake_case 						=   os.path.splitext(filename.replace("""_"""      ,    """ """		).title()		)[0]
      print(F'''{md_prefix(__lowerCAmelCase		)} [{filename}]({url})'''		)


if __name__ == "__main__":
 print_directory_md(".")

