

import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class      lowerCAmelCase					(     __snake_case ,					unittest.TestCase					):


       '''simple docstring'''







       snake_case     				=						CodeGenTokenizer
       snake_case     				=						CodeGenTokenizerFast
       snake_case     				=						True
       snake_case     				=						{'add_prefix_space': True}
       snake_case     				=						False

       def 	lowerCamelCase__    (						self       :	Union[str, Any]  ) ->			Any:







        '''simple docstring'''

        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        lowerCamelCase       =     [
            'l',
            'o',
            'w',
            'e',
            'r',
            's',
            't',
            'i',
            'd',
            'n',
            '\u0120',
            '\u0120l',
            '\u0120n',
            '\u0120lo',
            '\u0120low',
            'er',
            '\u0120lowest',
            '\u0120newer',
            '\u0120wider',
            '<unk>',
            '<|endoftext|>',
        ]
        lowerCamelCase       =     dict(zip(__lowerCamelCase    ,						range(len(__lowerCamelCase  )  )  )  )
        lowerCamelCase       =     ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
        lowerCamelCase       =     {'unk_token': '<unk>'}

        lowerCamelCase       =     os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES['vocab_file']  )
        lowerCamelCase       =     os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES['merges_file']  )
        with open(self.vocab_file    ,						'w'    ,						encoding='utf-8'  ) as fp:
         fp.write(json.dumps(__lowerCamelCase  ) + '\n'  )
        with open(self.merges_file    ,						'w'    ,						encoding='utf-8'  ) as fp:
         fp.write('\n'.join(__lowerCamelCase  )  )

       def 	lowerCamelCase__    (						self       :	Tuple    ,						**__snake_case       :	List[str]  ) ->			Optional[int]:







        '''simple docstring'''

        kwargs.update(self.special_tokens_map  )
        return CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						**__lowerCamelCase  )

       def 	lowerCamelCase__    (						self       :	List[str]    ,						**__snake_case       :	Optional[int]  ) ->			str:







        '''simple docstring'''

        kwargs.update(self.special_tokens_map  )
        return CodeGenTokenizerFast.from_pretrained(self.tmpdirname    ,						**__lowerCamelCase  )

       def 	lowerCamelCase__    (						self       :	Optional[Any]    ,						__snake_case       :	List[str]  ) ->			Optional[int]:







        '''simple docstring'''

        lowerCamelCase       =     'lower newer'
        lowerCamelCase       =     'lower newer'
        return input_text, output_text

       def 	lowerCamelCase__    (						self       :	Union[str, Any]  ) ->			str:







        '''simple docstring'''

        lowerCamelCase       =     CodeGenTokenizer(self.vocab_file    ,						self.merges_file    ,						**self.special_tokens_map  )
        lowerCamelCase       =     'lower newer'
        lowerCamelCase       =     ['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
        lowerCamelCase       =     tokenizer.tokenize(__lowerCamelCase    ,						add_prefix_space=__lowerCamelCase  )
        self.assertListEqual(__lowerCamelCase    ,						__lowerCamelCase  )

        lowerCamelCase       =     tokens + [tokenizer.unk_token]
        lowerCamelCase       =     [14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase  )    ,						__lowerCamelCase  )

       def 	lowerCamelCase__    (						self       :	Tuple  ) ->			List[str]:







        '''simple docstring'''

        if not self.test_rust_tokenizer:
         return

        lowerCamelCase       =     self.get_tokenizer()
        lowerCamelCase       =     self.get_rust_tokenizer(add_prefix_space=__lowerCamelCase  )

        lowerCamelCase       =     'lower newer'

        # Testing tokenization
        lowerCamelCase       =     tokenizer.tokenize(__lowerCamelCase    ,						add_prefix_space=__lowerCamelCase  )
        lowerCamelCase       =     rust_tokenizer.tokenize(__lowerCamelCase  )
        self.assertListEqual(__lowerCamelCase    ,						__lowerCamelCase  )

        # Testing conversion to ids without special tokens
        lowerCamelCase       =     tokenizer.encode(__lowerCamelCase    ,						add_special_tokens=__lowerCamelCase    ,						add_prefix_space=__lowerCamelCase  )
        lowerCamelCase       =     rust_tokenizer.encode(__lowerCamelCase    ,						add_special_tokens=__lowerCamelCase  )
        self.assertListEqual(__lowerCamelCase    ,						__lowerCamelCase  )

        # Testing conversion to ids with special tokens
        lowerCamelCase       =     self.get_rust_tokenizer(add_prefix_space=__lowerCamelCase  )
        lowerCamelCase       =     tokenizer.encode(__lowerCamelCase    ,						add_prefix_space=__lowerCamelCase  )
        lowerCamelCase       =     rust_tokenizer.encode(__lowerCamelCase  )
        self.assertListEqual(__lowerCamelCase    ,						__lowerCamelCase  )

        # Testing the unknown token
        lowerCamelCase       =     tokens + [rust_tokenizer.unk_token]
        lowerCamelCase       =     [14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(__lowerCamelCase  )    ,						__lowerCamelCase  )

       def 	lowerCamelCase__    (						self       :	Tuple    ,						*__snake_case       :	Dict    ,						**__snake_case       :	Optional[Any]  ) ->			Optional[int]:







        '''simple docstring'''

        pass

       def 	lowerCamelCase__    (						self       :	Optional[Any]    ,						__snake_case       :	Any=15  ) ->			str:







        '''simple docstring'''

        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
          lowerCamelCase       =     self.rust_tokenizer_class.from_pretrained(__lowerCamelCase    ,						**__lowerCamelCase  )

          # Simple input
          lowerCamelCase       =     'This is a simple input'
          lowerCamelCase       =     ['This is a simple input 1', 'This is a simple input 2']
          lowerCamelCase       =     ('This is a simple input', 'This is a pair')
          lowerCamelCase       =     [
              ('This is a simple input 1', 'This is a simple input 2'),
              ('This is a simple pair 1', 'This is a simple pair 2'),
          ]

          # Simple input tests
          self.assertRaises(__lowerCamelCase    ,						tokenizer_r.encode    ,						__lowerCamelCase    ,						max_length=__lowerCamelCase    ,						padding='max_length'  )

          # Simple input
          self.assertRaises(__lowerCamelCase    ,						tokenizer_r.encode_plus    ,						__lowerCamelCase    ,						max_length=__lowerCamelCase    ,						padding='max_length'  )

          # Simple input
          self.assertRaises(
              __lowerCamelCase    ,						tokenizer_r.batch_encode_plus    ,						__lowerCamelCase    ,						max_length=__lowerCamelCase    ,						padding='max_length'    ,						)

          # Pair input
          self.assertRaises(__lowerCamelCase    ,						tokenizer_r.encode    ,						__lowerCamelCase    ,						max_length=__lowerCamelCase    ,						padding='max_length'  )

          # Pair input
          self.assertRaises(__lowerCamelCase    ,						tokenizer_r.encode_plus    ,						__lowerCamelCase    ,						max_length=__lowerCamelCase    ,						padding='max_length'  )

          # Pair input
          self.assertRaises(
              __lowerCamelCase    ,						tokenizer_r.batch_encode_plus    ,						__lowerCamelCase    ,						max_length=__lowerCamelCase    ,						padding='max_length'    ,						)

       def 	lowerCamelCase__    (						self       :	Union[str, Any]  ) ->			Tuple:







        '''simple docstring'''

        lowerCamelCase       =     CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						pad_token='<pad>'  )

        # Simple input
        lowerCamelCase       =     'This is a simple input'
        lowerCamelCase       =     ['This is a simple input looooooooong', 'This is a simple input']
        lowerCamelCase       =     ('This is a simple input', 'This is a pair')
        lowerCamelCase       =     [
            ('This is a simple input loooooong', 'This is a simple input'),
            ('This is a simple pair loooooong', 'This is a simple pair'),
        ]

        lowerCamelCase       =     tokenizer.pad_token_id

        lowerCamelCase       =     tokenizer(__lowerCamelCase    ,						padding='max_length'    ,						max_length=30    ,						return_tensors='np'  )
        lowerCamelCase       =     tokenizer(__lowerCamelCase    ,						padding=__lowerCamelCase    ,						truncate=__lowerCamelCase    ,						return_tensors='np'  )
        lowerCamelCase       =     tokenizer(*__lowerCamelCase    ,						padding='max_length'    ,						max_length=60    ,						return_tensors='np'  )
        lowerCamelCase       =     tokenizer(__lowerCamelCase    ,						padding=__lowerCamelCase    ,						truncate=__lowerCamelCase    ,						return_tensors='np'  )

        # s
        # test single string max_length padding
        self.assertEqual(out_s['input_ids'].shape[-1]    ,						30  )
        self.assertTrue(pad_token_id in out_s['input_ids']  )
        self.assertTrue(0 in out_s['attention_mask']  )

        # s2
        # test automatic padding
        self.assertEqual(out_sa['input_ids'].shape[-1]    ,						33  )
        # long slice doesn't have padding
        self.assertFalse(pad_token_id in out_sa['input_ids'][0]  )
        self.assertFalse(0 in out_sa['attention_mask'][0]  )
        # short slice does have padding
        self.assertTrue(pad_token_id in out_sa['input_ids'][1]  )
        self.assertTrue(0 in out_sa['attention_mask'][1]  )

        # p
        # test single pair max_length padding
        self.assertEqual(out_p['input_ids'].shape[-1]    ,						60  )
        self.assertTrue(pad_token_id in out_p['input_ids']  )
        self.assertTrue(0 in out_p['attention_mask']  )

        # p2
        # test automatic padding pair
        self.assertEqual(out_pa['input_ids'].shape[-1]    ,						52  )
        # long slice pair doesn't have padding
        self.assertFalse(pad_token_id in out_pa['input_ids'][0]  )
        self.assertFalse(0 in out_pa['attention_mask'][0]  )
        # short slice pair does have padding
        self.assertTrue(pad_token_id in out_pa['input_ids'][1]  )
        self.assertTrue(0 in out_pa['attention_mask'][1]  )

       def 	lowerCamelCase__    (						self       :	Optional[Any]  ) ->			Union[str, Any]:







        '''simple docstring'''

        lowerCamelCase       =     '$$$'
        lowerCamelCase       =     CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						bos_token=__lowerCamelCase    ,						add_bos_token=__lowerCamelCase  )

        lowerCamelCase       =     'This is a simple input'
        lowerCamelCase       =     ['This is a simple input 1', 'This is a simple input 2']

        lowerCamelCase       =     tokenizer.bos_token_id

        lowerCamelCase       =     tokenizer(__lowerCamelCase  )
        lowerCamelCase       =     tokenizer(__lowerCamelCase  )

        self.assertEqual(out_s.input_ids[0]    ,						__lowerCamelCase  )
        self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids  )  )

        lowerCamelCase       =     tokenizer.decode(out_s.input_ids  )
        lowerCamelCase       =     tokenizer.batch_decode(out_sa.input_ids  )

        self.assertEqual(decode_s.split()[0]    ,						__lowerCamelCase  )
        self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa  )  )

       @slow
       def 	lowerCamelCase__    (						self       :	Dict  ) ->			Union[str, Any]:







        '''simple docstring'''

        lowerCamelCase       =     CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono'  )

        lowerCamelCase       =     '\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
        lowerCamelCase       =     '\nif len_a > len_b:      result = a\nelse:      result = b'

        lowerCamelCase       =     tokenizer.encode(__lowerCamelCase  )
        lowerCamelCase       =     ['^#', re.escape('<|endoftext|>'  ), '^\'\'\'', '^\"\"\"', '\n\n\n']
        lowerCamelCase       =     tokenizer.decode(__lowerCamelCase    ,						truncate_before_pattern=__lowerCamelCase  )
        self.assertEqual(__lowerCamelCase    ,						__lowerCamelCase  )





       def 	lowerCamelCase__    (						self       :	int  ) ->			int:







        '''simple docstring'''

        pass







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A			:					List[Any]						=			{
    'configuration_git': ['GIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GitConfig', 'GitVisionConfig'],
    'processing_git': ['GitProcessor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __A			:					int						=			[
        'GIT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'GitForCausalLM',
        'GitModel',
        'GitPreTrainedModel',
        'GitVisionModel',
    ]

if TYPE_CHECKING:
    from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
    from .processing_git import GitProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )

else:
    import sys

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