



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


a_			=					logging.get_logger(__name__)

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

a_			=					{
    """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"""
        ),
    },
}

a_			=					{
    """Salesforce/codegen-350M-mono""": 2_048,
}



class  __lowerCAmelCase     (	__A   ):
	lowerCAmelCase__       					=  VOCAB_FILES_NAMES
	lowerCAmelCase__       					=  PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase__       					=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCAmelCase__       					=  ["""input_ids""", """attention_mask"""]
	lowerCAmelCase__       					=  CodeGenTokenizer




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



				'''simple docstring'''
				super().__init__(
				    __UpperCAmelCase	,				__UpperCAmelCase	,				tokenizer_file=__UpperCAmelCase	,				unk_token=__UpperCAmelCase	,				bos_token=__UpperCAmelCase	,				eos_token=__UpperCAmelCase	,				add_prefix_space=__UpperCAmelCase	,				**__UpperCAmelCase	,				)

				if kwargs.pop('''add_bos_token'''	,				__UpperCAmelCase				):
							__lowerCamelCase													=    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.'''				)

				__lowerCamelCase													=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
				if pre_tok_state.get('''add_prefix_space'''	,				__UpperCAmelCase				) != add_prefix_space:
							__lowerCamelCase													=    getattr(__UpperCAmelCase	,				pre_tok_state.pop('''type'''				)				)
							__lowerCamelCase													=    add_prefix_space
							__lowerCamelCase													=    pre_tok_class(**__UpperCAmelCase				)

				__lowerCamelCase													=    add_prefix_space




	def        lowerCamelCase      (						self	,				*__UpperCAmelCase	,				**__UpperCAmelCase				):



				'''simple docstring'''
				__lowerCamelCase													=    kwargs.get('''is_split_into_words'''	,				__UpperCAmelCase				)
				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(*__UpperCAmelCase	,				**__UpperCAmelCase				)




	def        lowerCamelCase      (						self	,				*__UpperCAmelCase	,				**__UpperCAmelCase				):



				'''simple docstring'''
				__lowerCamelCase													=    kwargs.get('''is_split_into_words'''	,				__UpperCAmelCase				)

				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(*__UpperCAmelCase	,				**__UpperCAmelCase				)




	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase = None				):



				'''simple docstring'''
				__lowerCamelCase													=    self._tokenizer.model.save(__UpperCAmelCase	,				name=__UpperCAmelCase				)
				return tuple(__UpperCAmelCase				)




	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase = False	,				__UpperCAmelCase = None	,				__UpperCAmelCase = None	,				**__UpperCAmelCase	,				):



				'''simple docstring'''
				__lowerCamelCase													=    super().decode(
				    token_ids=__UpperCAmelCase	,				skip_special_tokens=__UpperCAmelCase	,				clean_up_tokenization_spaces=__UpperCAmelCase	,				**__UpperCAmelCase	,				)

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

				return decoded_text




	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



				'''simple docstring'''

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

				__lowerCamelCase													=    [re.compile(__UpperCAmelCase	,				re.MULTILINE				) for pattern in truncate_before_pattern]

				__lowerCamelCase													=    list(re.finditer('''^print'''	,				__UpperCAmelCase	,				re.MULTILINE				)				)

				if len(__UpperCAmelCase				) > 1:
							__lowerCamelCase													=    completion[: prints[1].start()]

				__lowerCamelCase													=    list(re.finditer('''^def'''	,				__UpperCAmelCase	,				re.MULTILINE				)				)

				if len(__UpperCAmelCase				) > 1:
							__lowerCamelCase													=    completion[: defs[1].start()]

				__lowerCamelCase													=    0

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

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











import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_rjieba
@require_tokenizers
class  __lowerCAmelCase     (	lowerCAmelCase__  ,	unittest.TestCase   ):
 lowerCAmelCase__       					=  RoFormerTokenizer
 lowerCAmelCase__       					=  RoFormerTokenizerFast
 lowerCAmelCase__       					=  True
 lowerCAmelCase__       					=  True




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    super().setUp()




 def        lowerCamelCase      (						self	,				**__UpperCAmelCase				):



    '''simple docstring'''
    return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''	,				**__UpperCAmelCase				)




 def        lowerCamelCase      (						self	,				**__UpperCAmelCase				):



    '''simple docstring'''
    return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''	,				**__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    '''永和服装饰品有限公司,今天天气非常好'''
    __lowerCamelCase													=    '''永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'''
    return input_text, output_text




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    self.get_tokenizer()
    __lowerCamelCase							,__lowerCamelCase													=    self.get_chinese_input_output_texts()
    __lowerCamelCase													=    tokenizer.tokenize(__UpperCAmelCase				)

    self.assertListEqual(__UpperCAmelCase	,				output_text.split()				)

    __lowerCamelCase													=    tokens + [tokenizer.unk_token]
    __lowerCamelCase													=    [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)	,				__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    self.get_rust_tokenizer()
    __lowerCamelCase							,__lowerCamelCase													=    self.get_chinese_input_output_texts()
    __lowerCamelCase													=    tokenizer.tokenize(__UpperCAmelCase				)
    self.assertListEqual(__UpperCAmelCase	,				output_text.split()				)
    __lowerCamelCase													=    tokens + [tokenizer.unk_token]
    __lowerCamelCase													=    [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)	,				__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass






