'''simple docstring'''

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       UpperCAmelCase  (						SCREAMING_SNAKE_CASE_   ,						unittest.TestCase ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   CodeGenTokenizer
       SCREAMING_SNAKE_CASE 		=   CodeGenTokenizerFast
       SCREAMING_SNAKE_CASE 		=   True
       SCREAMING_SNAKE_CASE 		=   {"add_prefix_space": True}
       SCREAMING_SNAKE_CASE 		=   False

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        super().setUp()

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

        lowercase__    :   Tuple						= os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES['''vocab_file''']			)
        lowercase__    :   List[Any]						= 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(snake_case__			) + '''\n'''			)
        with open(self.merges_file     ,       '''w'''     ,       encoding='''utf-8'''			) as fp:
         fp.write('''\n'''.join(snake_case__			)			)

       def _lowerCAmelCase(						self     ,       **__lowerCAmelCase			)  ->  Optional[int]:
        kwargs.update(self.special_tokens_map			)
        return CodeGenTokenizer.from_pretrained(self.tmpdirname     ,       **snake_case__			)

       def _lowerCAmelCase(						self     ,       **__lowerCAmelCase			)  ->  List[str]:
        kwargs.update(self.special_tokens_map			)
        return CodeGenTokenizerFast.from_pretrained(self.tmpdirname     ,       **snake_case__			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  Optional[int]:
        lowercase__    :   Union[str, Any]						= 'lower newer'
        lowercase__    :   List[str]						= 'lower newer'
        return input_text, output_text

       def _lowerCAmelCase(						self			)  ->  Optional[Any]:
        lowercase__    :   List[str]						= CodeGenTokenizer(self.vocab_file     ,       self.merges_file     ,       **self.special_tokens_map			)
        lowercase__    :   Optional[int]						= 'lower newer'
        lowercase__    :   int						= ['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
        lowercase__    :   Dict						= tokenizer.tokenize(snake_case__     ,       add_prefix_space=snake_case__			)
        self.assertListEqual(snake_case__     ,       snake_case__			)

        lowercase__    :   Optional[Any]						= tokens + [tokenizer.unk_token]
        lowercase__    :   Tuple						= [14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__			)     ,       snake_case__			)

       def _lowerCAmelCase(						self			)  ->  Dict:

        if not self.test_rust_tokenizer:
         return

        lowercase__    :   Union[str, Any]						= self.get_tokenizer()
        lowercase__    :   List[Any]						= self.get_rust_tokenizer(add_prefix_space=snake_case__			)

        lowercase__    :   Optional[Any]						= 'lower newer'

        # Testing tokenization
        lowercase__    :   Optional[Any]						= tokenizer.tokenize(snake_case__     ,       add_prefix_space=snake_case__			)
        lowercase__    :   List[str]						= rust_tokenizer.tokenize(snake_case__			)
        self.assertListEqual(snake_case__     ,       snake_case__			)

        # Testing conversion to ids without special tokens
        lowercase__    :   List[str]						= tokenizer.encode(snake_case__     ,       add_special_tokens=snake_case__     ,       add_prefix_space=snake_case__			)
        lowercase__    :   Tuple						= rust_tokenizer.encode(snake_case__     ,       add_special_tokens=snake_case__			)
        self.assertListEqual(snake_case__     ,       snake_case__			)

        # Testing conversion to ids with special tokens
        lowercase__    :   Tuple						= self.get_rust_tokenizer(add_prefix_space=snake_case__			)
        lowercase__    :   Dict						= tokenizer.encode(snake_case__     ,       add_prefix_space=snake_case__			)
        lowercase__    :   Optional[Any]						= rust_tokenizer.encode(snake_case__			)
        self.assertListEqual(snake_case__     ,       snake_case__			)

        # Testing the unknown token
        lowercase__    :   Union[str, Any]						= tokens + [rust_tokenizer.unk_token]
        lowercase__    :   Any						= [14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(snake_case__			)     ,       snake_case__			)

       def _lowerCAmelCase(						self     ,       *__lowerCAmelCase     ,       **__lowerCAmelCase			)  ->  List[str]:
        pass

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase=15			)  ->  List[Any]:

        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""			):
          lowercase__    :   List[Any]						= self.rust_tokenizer_class.from_pretrained(snake_case__     ,       **snake_case__			)

          # Simple input
          lowercase__    :   Optional[int]						= 'This is a simple input'
          lowercase__    :   Union[str, Any]						= ['This is a simple input 1', 'This is a simple input 2']
          lowercase__    :   List[str]						= ('This is a simple input', 'This is a pair')
          lowercase__    :   Any						= [
              ('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(snake_case__     ,       tokenizer_r.encode     ,       snake_case__     ,       max_length=snake_case__     ,       padding='''max_length'''			)

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

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

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

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

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

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        lowercase__    :   Union[str, Any]						= CodeGenTokenizer.from_pretrained(self.tmpdirname     ,       pad_token='''<pad>'''			)

        # Simple input
        lowercase__    :   List[Any]						= 'This is a simple input'
        lowercase__    :   List[str]						= ['This is a simple input looooooooong', 'This is a simple input']
        lowercase__    :   List[str]						= ('This is a simple input', 'This is a pair')
        lowercase__    :   List[Any]						= [
            ('This is a simple input loooooong', 'This is a simple input'),
            ('This is a simple pair loooooong', 'This is a simple pair'),
        ]

        lowercase__    :   int						= tokenizer.pad_token_id

        lowercase__    :   Optional[Any]						= tokenizer(snake_case__     ,       padding='''max_length'''     ,       max_length=30     ,       return_tensors='''np'''			)
        lowercase__    :   Optional[Any]						= tokenizer(snake_case__     ,       padding=snake_case__     ,       truncate=snake_case__     ,       return_tensors='''np'''			)
        lowercase__    :   Optional[int]						= tokenizer(*snake_case__     ,       padding='''max_length'''     ,       max_length=60     ,       return_tensors='''np'''			)
        lowercase__    :   Tuple						= tokenizer(snake_case__     ,       padding=snake_case__     ,       truncate=snake_case__     ,       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			)  ->  Dict:
        lowercase__    :   int						= '$$$'
        lowercase__    :   List[Any]						= CodeGenTokenizer.from_pretrained(self.tmpdirname     ,       bos_token=snake_case__     ,       add_bos_token=snake_case__			)

        lowercase__    :   Optional[int]						= 'This is a simple input'
        lowercase__    :   Optional[int]						= ['This is a simple input 1', 'This is a simple input 2']

        lowercase__    :   Any						= tokenizer.bos_token_id

        lowercase__    :   str						= tokenizer(snake_case__			)
        lowercase__    :   List[str]						= tokenizer(snake_case__			)

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

        lowercase__    :   int						= tokenizer.decode(out_s.input_ids			)
        lowercase__    :   List[str]						= tokenizer.batch_decode(out_sa.input_ids			)

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

       @slow
       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   Optional[Any]						= CodeGenTokenizer.from_pretrained('''Salesforce/codegen-350M-mono'''			)

        lowercase__    :   Any						= '\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
        lowercase__    :   int						= '\nif len_a > len_b:      result = a\nelse:      result = b'

        lowercase__    :   Optional[int]						= tokenizer.encode(snake_case__			)
        lowercase__    :   Any						= ['^#', re.escape('''<|endoftext|>'''			), '^\'\'\'', '^"""', '\n\n\n']
        lowercase__    :   Tuple						= tokenizer.decode(snake_case__     ,       truncate_before_pattern=snake_case__			)
        self.assertEqual(snake_case__     ,       snake_case__			)


       def _lowerCAmelCase(						self			)  ->  Tuple:
        pass


'''simple docstring'''

import pytest

import datasets.config
from datasets.utils.info_utils import is_small_dataset
@pytest.mark.parametrize('''dataset_size'''		,					[None, 400 * 2**20, 600 * 2**20]					)
@pytest.mark.parametrize('''input_in_memory_max_size'''		,					['''default''', 0, 100 * 2**20, 900 * 2**20]					)
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase					):
 if input_in_memory_max_size != "default":
  monkeypatch.setattr(datasets.config		,					'''IN_MEMORY_MAX_SIZE'''		,					UpperCAmelCase					)
 lowercase__    :   List[Any]						= datasets.config.IN_MEMORY_MAX_SIZE
 if input_in_memory_max_size == "default":
  assert in_memory_max_size == 0
 else:
  assert in_memory_max_size == input_in_memory_max_size
 if dataset_size and in_memory_max_size:
  lowercase__    :   str						= dataset_size < in_memory_max_size
 else:
  lowercase__    :   Optional[int]						= False
 lowercase__    :   Optional[Any]						= is_small_dataset(UpperCAmelCase					)
 assert result == expected

