"""simple docstring"""



import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 	__UpperCAmelCase						(UpperCamelCase__       ,      unittest.TestCase    ):







			'''simple docstring'''
			_UpperCamelCase     :	Tuple				    =							HerbertTokenizer
			_UpperCamelCase     :	str				    =							HerbertTokenizerFast
			_UpperCamelCase     :	List[str]				    =							True





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										super().setUp()

										# Use a simpler test file without japanese/chinese characters
										with open(F'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt'''      ,			encoding="""utf-8"""       ) as f_data:
																	A__					:    Tuple														= f_data.read().replace("""\n\n"""      ,			"""\n"""       ).strip()

										A__					:    Dict														= [
										    '''<s>''',
										    '''</s>''',
										    '''l''',
										    '''o''',
										    '''w''',
										    '''e''',
										    '''r''',
										    '''s''',
										    '''t''',
										    '''i''',
										    '''d''',
										    '''n''',
										    '''w</w>''',
										    '''r</w>''',
										    '''t</w>''',
										    '''lo''',
										    '''low''',
										    '''er</w>''',
										    '''low</w>''',
										    '''lowest</w>''',
										    '''newer</w>''',
										    '''wider</w>''',
										    ''',</w>''',
										    '''<unk>''',
										]
										A__					:    List[str]														= dict(zip(snake_case_      ,			range(len(snake_case_       )       )       )       )
										A__					:    List[Any]														= ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

										A__					:    Any														= os.path.join(self.tmpdirname      ,			VOCAB_FILES_NAMES["""vocab_file"""]       )
										A__					:    Any														= os.path.join(self.tmpdirname      ,			VOCAB_FILES_NAMES["""merges_file"""]       )
										with open(self.vocab_file      ,			"""w"""       ) as fp:
																	fp.write(json.dumps(snake_case_       )       )
										with open(self.merges_file      ,			"""w"""       ) as fp:
																	fp.write("""\n""".join(snake_case_       )       )





			def 		lowerCamelCase				( self      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    List[Any]														= '''lower newer'''
										A__					:    Dict														= '''lower newer'''
										return input_text, output_text





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										A__					:    Tuple														= self.tokenizer_class(vocab_file=self.vocab_file      ,			merges_file=self.merges_file       )

										A__					:    Optional[int]														= '''lower'''
										A__					:    Optional[Any]														= ['''low''', '''er</w>''']
										A__					:    List[str]														= tokenizer.tokenize(snake_case_       )
										self.assertListEqual(snake_case_      ,			snake_case_       )

										A__					:    Dict														= tokens + ['''<unk>''']
										A__					:    Union[str, Any]														= [16, 17, 23]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_       )      ,			snake_case_       )





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										if not self.test_rust_tokenizer:
																	return

										A__					:    str														= self.get_tokenizer()
										A__					:    List[str]														= self.get_rust_tokenizer()

										A__					:    str														= '''lower,newer'''

										A__					:    int														= tokenizer.tokenize(snake_case_       )
										A__					:    Dict														= rust_tokenizer.tokenize(snake_case_       )
										self.assertListEqual(snake_case_      ,			snake_case_       )

										A__					:    str														= tokenizer.encode(snake_case_      ,			add_special_tokens=snake_case_       )
										A__					:    Union[str, Any]														= rust_tokenizer.encode(snake_case_      ,			add_special_tokens=snake_case_       )
										self.assertListEqual(snake_case_      ,			snake_case_       )

										A__					:    Optional[Any]														= self.get_rust_tokenizer()
										A__					:    Tuple														= tokenizer.encode(snake_case_       )
										A__					:    int														= rust_tokenizer.encode(snake_case_       )
										self.assertListEqual(snake_case_      ,			snake_case_       )





			@slow
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										A__					:    Union[str, Any]														= self.tokenizer_class.from_pretrained("""allegro/herbert-base-cased"""       )

										A__					:    List[Any]														= tokenizer.encode("""konstruowanie sekwencji"""      ,			add_special_tokens=snake_case_       )
										A__					:    Tuple														= tokenizer.encode("""konstruowanie wielu sekwencji"""      ,			add_special_tokens=snake_case_       )

										A__					:    Optional[int]														= tokenizer.build_inputs_with_special_tokens(snake_case_       )
										A__					:    Tuple														= tokenizer.build_inputs_with_special_tokens(snake_case_      ,			snake_case_       )

										assert encoded_sentence == [0] + text + [2]
										assert encoded_pair == [0] + text + [2] + text_a + [2]






"""simple docstring"""



import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment
class 	__UpperCAmelCase						(unittest.TestCase    ):







			'''simple docstring'''





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										A__					:    Optional[int]														= inspect.getfile(accelerate.test_utils       )
										A__					:    Tuple														= os.path.sep.join(mod_file.split(os.path.sep       )[:-1] + ["""scripts""", """test_sync.py"""]       )





			@require_cpu
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										debug_launcher(test_sync.main      ,			num_processes=1       )





			@require_cpu
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										debug_launcher(test_sync.main       )





			@require_single_gpu
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										test_sync.main()





			@require_multi_gpu
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										print(F'''Found {torch.cuda.device_count()} devices.'''       )
										A__					:    List[str]														= ["""torchrun""", F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
										with patch_environment(omp_num_threads=1       ):
																	execute_subprocess_async(snake_case_      ,			env=os.environ.copy()       )





