





import random





def      _lowercase					(						_UpperCAmelCase				)						->  Optional[int]:
				lowerCamelCase	 =num - 1
				lowerCamelCase	 =0

				while s % 2 == 0:
								lowerCamelCase	 =s // 2
								t += 1

				for _ in range(5				):
								lowerCamelCase	 =random.randrange(2			,      num - 1				)
								lowerCamelCase	 =pow(lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__				)
								if v != 1:
												lowerCamelCase	 =0
												while v != (num - 1):
																if i == t - 1:
																				return False
																else:
																				lowerCamelCase	 =i + 1
																				lowerCamelCase	 =(v**2) % num
				return True





def      _lowercase					(						_UpperCAmelCase				)						->  Tuple:
				if num < 2:
								return False

				lowerCamelCase	 =[
				    2,
				    3,
				    5,
				    7,
				    11,
				    13,
				    17,
				    19,
				    23,
				    29,
				    31,
				    37,
				    41,
				    43,
				    47,
				    53,
				    59,
				    61,
				    67,
				    71,
				    73,
				    79,
				    83,
				    89,
				    97,
				    1_01,
				    1_03,
				    1_07,
				    1_09,
				    1_13,
				    1_27,
				    1_31,
				    1_37,
				    1_39,
				    1_49,
				    1_51,
				    1_57,
				    1_63,
				    1_67,
				    1_73,
				    1_79,
				    1_81,
				    1_91,
				    1_93,
				    1_97,
				    1_99,
				    2_11,
				    2_23,
				    2_27,
				    2_29,
				    2_33,
				    2_39,
				    2_41,
				    2_51,
				    2_57,
				    2_63,
				    2_69,
				    2_71,
				    2_77,
				    2_81,
				    2_83,
				    2_93,
				    3_07,
				    3_11,
				    3_13,
				    3_17,
				    3_31,
				    3_37,
				    3_47,
				    3_49,
				    3_53,
				    3_59,
				    3_67,
				    3_73,
				    3_79,
				    3_83,
				    3_89,
				    3_97,
				    4_01,
				    4_09,
				    4_19,
				    4_21,
				    4_31,
				    4_33,
				    4_39,
				    4_43,
				    4_49,
				    4_57,
				    4_61,
				    4_63,
				    4_67,
				    4_79,
				    4_87,
				    4_91,
				    4_99,
				    5_03,
				    5_09,
				    5_21,
				    5_23,
				    5_41,
				    5_47,
				    5_57,
				    5_63,
				    5_69,
				    5_71,
				    5_77,
				    5_87,
				    5_93,
				    5_99,
				    6_01,
				    6_07,
				    6_13,
				    6_17,
				    6_19,
				    6_31,
				    6_41,
				    6_43,
				    6_47,
				    6_53,
				    6_59,
				    6_61,
				    6_73,
				    6_77,
				    6_83,
				    6_91,
				    7_01,
				    7_09,
				    7_19,
				    7_27,
				    7_33,
				    7_39,
				    7_43,
				    7_51,
				    7_57,
				    7_61,
				    7_69,
				    7_73,
				    7_87,
				    7_97,
				    8_09,
				    8_11,
				    8_21,
				    8_23,
				    8_27,
				    8_29,
				    8_39,
				    8_53,
				    8_57,
				    8_59,
				    8_63,
				    8_77,
				    8_81,
				    8_83,
				    8_87,
				    9_07,
				    9_11,
				    9_19,
				    9_29,
				    9_37,
				    9_41,
				    9_47,
				    9_53,
				    9_67,
				    9_71,
				    9_77,
				    9_83,
				    9_91,
				    9_97,
				]

				if num in low_primes:
								return True

				for prime in low_primes:
								if (num % prime) == 0:
												return False

				return rabin_miller(lowerCAmelCase__				)





def      _lowercase					(						_UpperCAmelCase = 10_24				)						->  Union[str, Any]:
				while True:
								lowerCamelCase	 =random.randrange(2 ** (keysize - 1)			,      2 ** (keysize)				)
								if is_prime_low_num(lowerCAmelCase__				):
												return num


if __name__ == "__main__":
							UpperCAmelCase__						:			Optional[int]									=generate_large_prime()
							print(('''Prime number:''', num))
							print(('''is_prime_low_num:''', is_prime_low_num(num)))












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


UpperCAmelCase__						:			Optional[Any]									=logging.get_logger(__name__)

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

UpperCAmelCase__						:			str									={
    '''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'''
        ),
    },
}

UpperCAmelCase__						:			Union[str, Any]									={
    '''Salesforce/codegen-350M-mono''': 20_48,
}

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


				def __init__(		self   , UpperCAmelCase_=None   , UpperCAmelCase_=None   , UpperCAmelCase_=None   , UpperCAmelCase_="<|endoftext|>"   , UpperCAmelCase_="<|endoftext|>"   , UpperCAmelCase_="<|endoftext|>"   , UpperCAmelCase_=False   , **UpperCAmelCase_   , ):
								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 _snake_case       (		self   , *UpperCAmelCase_   , **UpperCAmelCase_							):
								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 _snake_case       (		self   , *UpperCAmelCase_   , **UpperCAmelCase_							):
								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 _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_ = None							):
								lowerCamelCase	 =self._tokenizer.model.save(UpperCAmelCase_   , name=UpperCAmelCase_							)
								return tuple(UpperCAmelCase_							)


				def _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_ = False   , UpperCAmelCase_ = None   , UpperCAmelCase_ = None   , **UpperCAmelCase_   , ):
								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 _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_							):
								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





