



# XXX: we want transformers master here - in the absense of conftest manipulating sys.path:
# hack it in for now:
import sys
from pathlib import Path


a_			=					Path(__file__).resolve().parents[3] / """src"""
sys.path.insert(1, str(git_repo_path))

import dataclasses  # noqa
import io  # noqa
import itertools  # noqa
import json  # noqa
import os  # noqa
import unittest  # noqa
from copy import deepcopy  # noqa

from parameterized import parameterized  # noqa
from transformers import TrainingArguments, is_torch_available  # noqa
from transformers.deepspeed import is_deepspeed_available  # noqa
from transformers.file_utils import WEIGHTS_NAME  # noqa
from transformers.testing_utils import (  # noqa
    CaptureLogger,
    ExtendSysPath,
    TestCasePlus,
    execute_subprocess_async,
    get_gpu_count,
    mockenv_context,
    require_deepspeed,
    require_torch_gpu,
    require_torch_multi_gpu,
    slow,
)
from transformers.trainer_utils import set_seed  # noqa


set_seed(42)

a_			=					{"""base""": """patrickvonplaten/wav2vec2_tiny_random""", """robust""": """patrickvonplaten/wav2vec2_tiny_random_robust"""}

a_			=					"""zero2"""
a_			=					"""zero3"""
a_			=					[ZEROa, ZEROa]





def 		a__			(		_UpperCamelCase			: Dict ,_UpperCamelCase			: Tuple ,_UpperCamelCase			: Any							):
			# customize the test name generator function as we want both params to appear in the sub-test
			# name, as by default it shows only the first param
			__lowerCamelCase													=    parameterized.to_safe_name('''_'''.join(str(_UpperCamelCase							) for x in param.args							)							)
			return F"""{func.__name__}_{param_based_name}"""


# Cartesian-product of zero stages with models to test
a_			=					list(itertools.product(stages, models.keys()))





@slow
@require_deepspeed
@require_torch_gpu
class  __lowerCAmelCase     (	lowerCAmelCase__   ):




	@parameterized.expand(__UpperCAmelCase	,				name_func=__UpperCAmelCase				)
	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



				'''simple docstring'''
				self.run_and_check(
				    stage=__UpperCAmelCase	,				model=__UpperCAmelCase	,				distributed=__UpperCAmelCase	,				fpaa=__UpperCAmelCase	,				)




	@require_torch_multi_gpu
	@parameterized.expand(__UpperCAmelCase	,				name_func=__UpperCAmelCase				)
	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



				'''simple docstring'''
				self.run_and_check(
				    stage=__UpperCAmelCase	,				model=__UpperCAmelCase	,				distributed=__UpperCAmelCase	,				fpaa=__UpperCAmelCase	,				)




	@parameterized.expand(__UpperCAmelCase	,				name_func=__UpperCAmelCase				)
	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



				'''simple docstring'''
				self.run_and_check(
				    stage=__UpperCAmelCase	,				model=__UpperCAmelCase	,				distributed=__UpperCAmelCase	,				fpaa=__UpperCAmelCase	,				)




	@require_torch_multi_gpu
	@parameterized.expand(__UpperCAmelCase	,				name_func=__UpperCAmelCase				)
	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



				'''simple docstring'''
				self.run_and_check(
				    stage=__UpperCAmelCase	,				model=__UpperCAmelCase	,				distributed=__UpperCAmelCase	,				fpaa=__UpperCAmelCase	,				)




	def        lowerCamelCase      (						self	,				__UpperCAmelCase				):



				'''simple docstring'''
				pass




	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase	,				__UpperCAmelCase = 10	,				__UpperCAmelCase = True	,				__UpperCAmelCase = True	,				__UpperCAmelCase = True	,				):



				'''simple docstring'''
				__lowerCamelCase													=    models[model]

				__lowerCamelCase													=    self.run_trainer(
				    stage=__UpperCAmelCase	,				model_name=__UpperCAmelCase	,				eval_steps=__UpperCAmelCase	,				num_train_epochs=1	,				distributed=__UpperCAmelCase	,				fpaa=__UpperCAmelCase	,				)

				self.do_checks(__UpperCAmelCase				)

				return output_dir




	def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase	,				__UpperCAmelCase = 10	,				__UpperCAmelCase = 1	,				__UpperCAmelCase = True	,				__UpperCAmelCase = True	,				):



				'''simple docstring'''
				__lowerCamelCase													=    self.get_auto_remove_tmp_dir('''./xxx'''	,				after=__UpperCAmelCase				)
				__lowerCamelCase													=    F"""
            --model_name_or_path {model_name}
            --dataset_name hf-internal-testing/librispeech_asr_dummy
            --dataset_config_name clean
            --train_split_name validation
            --validation_split_name validation
            --output_dir {output_dir}
            --num_train_epochs {str(__UpperCAmelCase				)}
            --per_device_train_batch_size 2
            --per_device_eval_batch_size 2
            --evaluation_strategy steps
            --learning_rate 5e-4
            --warmup_steps 8
            --orthography timit
            --preprocessing_num_workers 1
            --group_by_length
            --freeze_feature_extractor
            --report_to none
            --save_steps 0
            --eval_steps {eval_steps}
            --report_to none
        """.split()

				if fpaa:
							args.extend(['''--fp16''']				)

				# currently ds_config_wav2vec2_zero.json requires "zero_optimization.find_unused_parameters": true,
				# hence the separate config files
				__lowerCamelCase													=    F"""--deepspeed {self.test_file_dir_str}/ds_config_wav2vec2_{stage}.json""".split()
				__lowerCamelCase													=    [F"""{self.examples_dir_str}/research_projects/wav2vec2/run_asr.py"""]
				__lowerCamelCase													=    self.get_launcher(__UpperCAmelCase				)

				__lowerCamelCase													=    launcher + script + args + ds_args
				# keep for quick debug
				# print(" ".join([f"\nPYTHONPATH={self.src_dir_str}"] +cmd)); die
				execute_subprocess_async(__UpperCAmelCase	,				env=self.get_env()				)

				return output_dir




	def        lowerCamelCase      (						self	,				__UpperCAmelCase=False				):



				'''simple docstring'''
				__lowerCamelCase													=    min(2	,				get_gpu_count()				) if distributed else 1
				return F"""deepspeed --num_nodes 1 --num_gpus {num_gpus}""".split()











import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_rjieba
@require_tokenizers
class  __lowerCAmelCase     (	lowerCAmelCase__  ,	unittest.TestCase   ):
 lowerCAmelCase__       					=  RoFormerTokenizer
 lowerCAmelCase__       					=  RoFormerTokenizerFast
 lowerCAmelCase__       					=  True
 lowerCAmelCase__       					=  True




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    super().setUp()




 def        lowerCamelCase      (						self	,				**__UpperCAmelCase				):



    '''simple docstring'''
    return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''	,				**__UpperCAmelCase				)




 def        lowerCamelCase      (						self	,				**__UpperCAmelCase				):



    '''simple docstring'''
    return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''	,				**__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    '''永和服装饰品有限公司,今天天气非常好'''
    __lowerCamelCase													=    '''永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'''
    return input_text, output_text




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    self.get_tokenizer()
    __lowerCamelCase							,__lowerCamelCase													=    self.get_chinese_input_output_texts()
    __lowerCamelCase													=    tokenizer.tokenize(__UpperCAmelCase				)

    self.assertListEqual(__UpperCAmelCase	,				output_text.split()				)

    __lowerCamelCase													=    tokens + [tokenizer.unk_token]
    __lowerCamelCase													=    [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)	,				__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    self.get_rust_tokenizer()
    __lowerCamelCase							,__lowerCamelCase													=    self.get_chinese_input_output_texts()
    __lowerCamelCase													=    tokenizer.tokenize(__UpperCAmelCase				)
    self.assertListEqual(__UpperCAmelCase	,				output_text.split()				)
    __lowerCamelCase													=    tokens + [tokenizer.unk_token]
    __lowerCamelCase													=    [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)	,				__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass






