



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     _A       (	__UpperCAmelCase      ,unittest.TestCase    ):
       UpperCamelCase__  :    Tuple											=						CodeGenTokenizer
       UpperCamelCase__  :    Tuple											=						CodeGenTokenizerFast
       UpperCamelCase__  :    int											=						True
       UpperCamelCase__  :    List[str]											=						{'''add_prefix_space''': True}
       UpperCamelCase__  :    str											=						False



       def 		_lowerCamelCase			(		self							:     Optional[int]):


           '''simple docstring'''

           super().setUp()

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

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



       def 		_lowerCamelCase			(		self							:     Any     ,		**__SCREAMING_SNAKE_CASE							:     Optional[int]):


           '''simple docstring'''

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



       def 		_lowerCamelCase			(		self							:     Tuple     ,		**__SCREAMING_SNAKE_CASE							:     Optional[int]):


           '''simple docstring'''

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



       def 		_lowerCamelCase			(		self							:     List[Any]     ,		__SCREAMING_SNAKE_CASE							:     str):


           '''simple docstring'''

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



       def 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

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

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



       def 		_lowerCamelCase			(		self							:     int):


           '''simple docstring'''

           if not self.test_rust_tokenizer:
               return

           __a						       =				self.get_tokenizer()
           __a						       =				self.get_rust_tokenizer(add_prefix_space=__SCREAMING_SNAKE_CASE)

           __a						       =				'''lower newer'''

           # Testing tokenization
           __a						       =				tokenizer.tokenize(__SCREAMING_SNAKE_CASE     ,		add_prefix_space=__SCREAMING_SNAKE_CASE)
           __a						       =				rust_tokenizer.tokenize(__SCREAMING_SNAKE_CASE)
           self.assertListEqual(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE)

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

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

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



       def 		_lowerCamelCase			(		self							:     Union[str, Any]     ,		*__SCREAMING_SNAKE_CASE							:     Optional[int]     ,		**__SCREAMING_SNAKE_CASE							:     Dict):


           '''simple docstring'''

           pass



       def 		_lowerCamelCase			(		self							:     str     ,		__SCREAMING_SNAKE_CASE							:     str=15):


           '''simple docstring'''

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

                   # Simple input
                   __a						       =				'''This is a simple input'''
                   __a						       =				['''This is a simple input 1''', '''This is a simple input 2''']
                   __a						       =				('''This is a simple input''', '''This is a pair''')
                   __a						       =				[
                       ('''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(__SCREAMING_SNAKE_CASE     ,		tokenizer_r.encode     ,		__SCREAMING_SNAKE_CASE     ,		max_length=__SCREAMING_SNAKE_CASE     ,		padding='''max_length''')

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

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

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

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

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



       def 		_lowerCamelCase			(		self							:     Any):


           '''simple docstring'''

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

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

           __a						       =				tokenizer.pad_token_id

           __a						       =				tokenizer(__SCREAMING_SNAKE_CASE     ,		padding='''max_length'''     ,		max_length=30     ,		return_tensors='''np''')
           __a						       =				tokenizer(__SCREAMING_SNAKE_CASE     ,		padding=__SCREAMING_SNAKE_CASE     ,		truncate=__SCREAMING_SNAKE_CASE     ,		return_tensors='''np''')
           __a						       =				tokenizer(*__SCREAMING_SNAKE_CASE     ,		padding='''max_length'''     ,		max_length=60     ,		return_tensors='''np''')
           __a						       =				tokenizer(__SCREAMING_SNAKE_CASE     ,		padding=__SCREAMING_SNAKE_CASE     ,		truncate=__SCREAMING_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							:     List[str]):


           '''simple docstring'''

           __a						       =				'''$$$'''
           __a						       =				CodeGenTokenizer.from_pretrained(self.tmpdirname     ,		bos_token=__SCREAMING_SNAKE_CASE     ,		add_bos_token=__SCREAMING_SNAKE_CASE)

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

           __a						       =				tokenizer.bos_token_id

           __a						       =				tokenizer(__SCREAMING_SNAKE_CASE)
           __a						       =				tokenizer(__SCREAMING_SNAKE_CASE)

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

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

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



       @slow
       def 		_lowerCamelCase			(		self							:     Tuple):


           '''simple docstring'''

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

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

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





       def 		_lowerCamelCase			(		self							:     Union[str, Any]):


           '''simple docstring'''

           pass










import logging

from transformers.configuration_utils import PretrainedConfig


__snake_case						:Any      		=     logging.getLogger(__name__)

class     _A       (	__UpperCAmelCase    ):
       UpperCamelCase__  :    Optional[Any]											=						'''masked_bert'''



       def __init__(		self							:     str     ,		__SCREAMING_SNAKE_CASE							:     int=30_522     ,		__SCREAMING_SNAKE_CASE							:     str=768     ,		__SCREAMING_SNAKE_CASE							:     List[str]=12     ,		__SCREAMING_SNAKE_CASE							:     Any=12     ,		__SCREAMING_SNAKE_CASE							:     Union[str, Any]=3_072     ,		__SCREAMING_SNAKE_CASE							:     List[Any]="gelu"     ,		__SCREAMING_SNAKE_CASE							:     int=0.1     ,		__SCREAMING_SNAKE_CASE							:     Dict=0.1     ,		__SCREAMING_SNAKE_CASE							:     Optional[Any]=512     ,		__SCREAMING_SNAKE_CASE							:     Optional[int]=2     ,		__SCREAMING_SNAKE_CASE							:     Dict=0.02     ,		__SCREAMING_SNAKE_CASE							:     List[Any]=1E-12     ,		__SCREAMING_SNAKE_CASE							:     Union[str, Any]=0     ,		__SCREAMING_SNAKE_CASE							:     List[str]="topK"     ,		__SCREAMING_SNAKE_CASE							:     List[Any]="constant"     ,		__SCREAMING_SNAKE_CASE							:     int=0.0     ,		**__SCREAMING_SNAKE_CASE							:     List[Any]     ,		):


           '''simple docstring'''

           super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE     ,		**__SCREAMING_SNAKE_CASE)

           __a						       =				vocab_size
           __a						       =				hidden_size
           __a						       =				num_hidden_layers
           __a						       =				num_attention_heads
           __a						       =				hidden_act
           __a						       =				intermediate_size
           __a						       =				hidden_dropout_prob
           __a						       =				attention_probs_dropout_prob
           __a						       =				max_position_embeddings
           __a						       =				type_vocab_size
           __a						       =				initializer_range
           __a						       =				layer_norm_eps
           __a						       =				pruning_method
           __a						       =				mask_init
           __a						       =				mask_scale





