



'''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 	lowerCamelCase_							(					snake_case_    ,				unittest.TestCase			):
						_lowerCAmelCase     :   str	     =				CodeGenTokenizer
						_lowerCAmelCase     :   Union[str, Any]	     =				CodeGenTokenizerFast
						_lowerCAmelCase     :   List[str]	     =				True
						_lowerCAmelCase     :   List[Any]	     =				{'add_prefix_space': True}
						_lowerCAmelCase     :   Tuple	     =				False







						def 					__lowercase    (  self   :      Dict				):

													"""simple docstring"""
													super().setUp()

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

													SCREAMING_SNAKE_CASE					:      Tuple     					=			os.path.join(self.tmpdirname				,    VOCAB_FILES_NAMES['''vocab_file''']				)
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			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 					__lowercase    (  self   :      Any				,    **lowerCAmelCase__   :      Optional[Any]				):

													"""simple docstring"""
													kwargs.update(self.special_tokens_map				)
													return CodeGenTokenizer.from_pretrained(self.tmpdirname				,    **lowerCAmelCase__				)







						def 					__lowercase    (  self   :      Union[str, Any]				,    **lowerCAmelCase__   :      Dict				):

													"""simple docstring"""
													kwargs.update(self.special_tokens_map				)
													return CodeGenTokenizerFast.from_pretrained(self.tmpdirname				,    **lowerCAmelCase__				)







						def 					__lowercase    (  self   :      List[Any]				,    lowerCAmelCase__   :      List[Any]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Tuple     					=			'''lower newer'''
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			'''lower newer'''
													return input_text, output_text







						def 					__lowercase    (  self   :      Tuple				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Dict     					=			CodeGenTokenizer(self.vocab_file				,    self.merges_file				,    **self.special_tokens_map				)
													SCREAMING_SNAKE_CASE					:      List[str]     					=			'''lower newer'''
													SCREAMING_SNAKE_CASE					:      str     					=			['''\u0120low''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
													SCREAMING_SNAKE_CASE					:      Tuple     					=			tokenizer.tokenize(lowerCAmelCase__				,    add_prefix_space=lowerCAmelCase__				)
													self.assertListEqual(lowerCAmelCase__				,    lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      int     					=			tokens + [tokenizer.unk_token]
													SCREAMING_SNAKE_CASE					:      int     					=			[14, 15, 10, 9, 3, 2, 15, 19]
													self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__				)				,    lowerCAmelCase__				)







						def 					__lowercase    (  self   :      Dict				):

													"""simple docstring"""
													if not self.test_rust_tokenizer:
																				return

													SCREAMING_SNAKE_CASE					:      List[str]     					=			self.get_tokenizer()
													SCREAMING_SNAKE_CASE					:      str     					=			self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      Any     					=			'''lower newer'''

													# Testing tokenization
													SCREAMING_SNAKE_CASE					:      Tuple     					=			tokenizer.tokenize(lowerCAmelCase__				,    add_prefix_space=lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Any     					=			rust_tokenizer.tokenize(lowerCAmelCase__				)
													self.assertListEqual(lowerCAmelCase__				,    lowerCAmelCase__				)

													# Testing conversion to ids without special tokens
													SCREAMING_SNAKE_CASE					:      str     					=			tokenizer.encode(lowerCAmelCase__				,    add_special_tokens=lowerCAmelCase__				,    add_prefix_space=lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      int     					=			rust_tokenizer.encode(lowerCAmelCase__				,    add_special_tokens=lowerCAmelCase__				)
													self.assertListEqual(lowerCAmelCase__				,    lowerCAmelCase__				)

													# Testing conversion to ids with special tokens
													SCREAMING_SNAKE_CASE					:      str     					=			self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Tuple     					=			tokenizer.encode(lowerCAmelCase__				,    add_prefix_space=lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			rust_tokenizer.encode(lowerCAmelCase__				)
													self.assertListEqual(lowerCAmelCase__				,    lowerCAmelCase__				)

													# Testing the unknown token
													SCREAMING_SNAKE_CASE					:      Dict     					=			tokens + [rust_tokenizer.unk_token]
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			[14, 15, 10, 9, 3, 2, 15, 19]
													self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowerCAmelCase__				)				,    lowerCAmelCase__				)







						def 					__lowercase    (  self   :      Optional[int]				,    *lowerCAmelCase__   :      Tuple				,    **lowerCAmelCase__   :      str				):

													"""simple docstring"""
													# It's very difficult to mix/test pretokenization with byte-level
													# And get both CodeGen and Roberta to work at the same time (mostly an issue of adding a space before the string)
													pass







						def 					__lowercase    (  self   :      Tuple				,    lowerCAmelCase__   :      Optional[int]=15				):

													"""simple docstring"""
													for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																				with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""				):
																											SCREAMING_SNAKE_CASE					:      Tuple     					=			self.rust_tokenizer_class.from_pretrained(lowerCAmelCase__				,    **lowerCAmelCase__				)

																											# Simple input
																											SCREAMING_SNAKE_CASE					:      str     					=			'''This is a simple input'''
																											SCREAMING_SNAKE_CASE					:      List[str]     					=			['''This is a simple input 1''', '''This is a simple input 2''']
																											SCREAMING_SNAKE_CASE					:      str     					=			('''This is a simple input''', '''This is a pair''')
																											SCREAMING_SNAKE_CASE					:      Tuple     					=			[
																											    ('''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 					__lowercase    (  self   :      str				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      List[str]     					=			CodeGenTokenizer.from_pretrained(self.tmpdirname				,    pad_token='''<pad>'''				)

													# Simple input
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			'''This is a simple input'''
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			['''This is a simple input looooooooong''', '''This is a simple input''']
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			('''This is a simple input''', '''This is a pair''')
													SCREAMING_SNAKE_CASE					:      str     					=			[
													    ('''This is a simple input loooooong''', '''This is a simple input'''),
													    ('''This is a simple pair loooooong''', '''This is a simple pair'''),
													]

													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			tokenizer.pad_token_id

													SCREAMING_SNAKE_CASE					:      Any     					=			tokenizer(lowerCAmelCase__				,    padding='''max_length'''				,    max_length=30				,    return_tensors='''np'''				)
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			tokenizer(lowerCAmelCase__				,    padding=lowerCAmelCase__				,    truncate=lowerCAmelCase__				,    return_tensors='''np'''				)
													SCREAMING_SNAKE_CASE					:      Dict     					=			tokenizer(*lowerCAmelCase__				,    padding='''max_length'''				,    max_length=60				,    return_tensors='''np'''				)
													SCREAMING_SNAKE_CASE					:      Tuple     					=			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 					__lowercase    (  self   :      Union[str, Any]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Dict     					=			'''$$$'''
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			CodeGenTokenizer.from_pretrained(self.tmpdirname				,    bos_token=lowerCAmelCase__				,    add_bos_token=lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      Any     					=			'''This is a simple input'''
													SCREAMING_SNAKE_CASE					:      Tuple     					=			['''This is a simple input 1''', '''This is a simple input 2''']

													SCREAMING_SNAKE_CASE					:      List[str]     					=			tokenizer.bos_token_id

													SCREAMING_SNAKE_CASE					:      List[str]     					=			tokenizer(lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			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				)				)

													SCREAMING_SNAKE_CASE					:      str     					=			tokenizer.decode(out_s.input_ids				)
													SCREAMING_SNAKE_CASE					:      Any     					=			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 					__lowercase    (  self   :      List[str]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			CodeGenTokenizer.from_pretrained('''Salesforce/codegen-350M-mono'''				)

													SCREAMING_SNAKE_CASE					:      str     					=			'''\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'''
													SCREAMING_SNAKE_CASE					:      List[str]     					=			'''\nif len_a > len_b:      result = a\nelse:      result = b'''

													SCREAMING_SNAKE_CASE					:      Any     					=			tokenizer.encode(lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			['''^#''', re.escape('''<|endoftext|>'''				), '''^\'\'\'''', '''^"""''', '''\n\n\n''']
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			tokenizer.decode(lowerCAmelCase__				,    truncate_before_pattern=lowerCAmelCase__				)
													self.assertEqual(lowerCAmelCase__				,    lowerCAmelCase__				)







						def 					__lowercase    (  self   :      List[str]				):

													"""simple docstring"""
													pass









'''simple docstring'''



from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
							if not (is_transformers_available() and is_torch_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ...utils.dummy_torch_and_transformers_objects import (
							    ImageTextPipelineOutput,
							    UniDiffuserPipeline,
							)
else:
							from .modeling_text_decoder import UniDiffuserTextDecoder
							from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
							from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline




