



import argparse
import json
import logging
import os
import sys
from unittest.mock import patch

from transformers.testing_utils import TestCasePlus, get_gpu_count, slow


__snake_case    :		List[str]  =[
    os.path.join(os.path.dirname(__file__), dirname)
    for dirname in [
        'text-classification',
        'language-modeling',
        'summarization',
        'token-classification',
        'question-answering',
    ]
]
sys.path.extend(SRC_DIRS)


if SRC_DIRS is not None:
							import run_clm_flax
							import run_flax_glue
							import run_flax_ner
							import run_mlm_flax
							import run_qa
							import run_summarization_flax
							import run_ta_mlm_flax


logging.basicConfig(level=logging.DEBUG)

__snake_case    :		Union[str, Any]  =logging.getLogger()






def      lowerCAmelCase__		(   ):





				'''simple docstring'''

				lowerCAmelCase__					:    List[Any]												=					argparse.ArgumentParser()
				parser.add_argument('''-f''')
				lowerCAmelCase__					:    Tuple												=					parser.parse_args()
				return args.f






def      lowerCAmelCase__		(   lowerCamelCase_		:		List[str]	,lowerCamelCase_		:		Optional[Any]="eval"):





				'''simple docstring'''

				lowerCAmelCase__					:    Union[str, Any]												=					os.path.join(__a	,f"""{split}_results.json""")
				if os.path.exists(__a):
								with open(__a	,'''r''') as f:
												return json.load(__a)
				raise ValueError(f"""can't find {path}""")


__snake_case    :		Optional[Any]  =logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)



class 	lowerCamelCase__      (							__lowercase):




		'''simple docstring'''



		def 		lowerCAmelCase__				(self			)					->      List[str]:

						"""simple docstring"""






						lowerCAmelCase__					:    Optional[int]												=					self.get_auto_remove_tmp_dir()
						lowerCAmelCase__					:    List[str]												=					f"""\n            run_glue.py\n            --model_name_or_path distilbert-base-uncased\n            --output_dir {tmp_dir}\n            --train_file ./tests/fixtures/tests_samples/MRPC/train.csv\n            --validation_file ./tests/fixtures/tests_samples/MRPC/dev.csv\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=1\n            --learning_rate=1e-4\n            --eval_steps=2\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            """.split()

						with patch.object(_a		,'''argv'''		,_a			):
										run_flax_glue.main()
										lowerCAmelCase__					:    List[Any]												=					get_results(_a			)
										self.assertGreaterEqual(result['''eval_accuracy''']		,0.75			)



		@slow
		def 		lowerCAmelCase__				(self			)					->      Optional[Any]:

						"""simple docstring"""






						lowerCAmelCase__					:    Optional[Any]												=					self.get_auto_remove_tmp_dir()
						lowerCAmelCase__					:    Optional[int]												=					f"""\n            run_clm_flax.py\n            --model_name_or_path distilgpt2\n            --train_file ./tests/fixtures/sample_text.txt\n            --validation_file ./tests/fixtures/sample_text.txt\n            --do_train\n            --do_eval\n            --block_size 128\n            --per_device_train_batch_size 4\n            --per_device_eval_batch_size 4\n            --num_train_epochs 2\n            --logging_steps 2 --eval_steps 2\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            """.split()

						with patch.object(_a		,'''argv'''		,_a			):
										run_clm_flax.main()
										lowerCAmelCase__					:    Union[str, Any]												=					get_results(_a			)
										self.assertLess(result['''eval_perplexity''']		,1_00			)



		@slow
		def 		lowerCAmelCase__				(self			)					->      Dict:

						"""simple docstring"""






						lowerCAmelCase__					:    Optional[Any]												=					self.get_auto_remove_tmp_dir()
						lowerCAmelCase__					:    Dict												=					f"""\n            run_summarization.py\n            --model_name_or_path t5-small\n            --train_file tests/fixtures/tests_samples/xsum/sample.json\n            --validation_file tests/fixtures/tests_samples/xsum/sample.json\n            --test_file tests/fixtures/tests_samples/xsum/sample.json\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --num_train_epochs=3\n            --warmup_steps=8\n            --do_train\n            --do_eval\n            --do_predict\n            --learning_rate=2e-4\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=1\n            --predict_with_generate\n        """.split()

						with patch.object(_a		,'''argv'''		,_a			):
										run_summarization_flax.main()
										lowerCAmelCase__					:    Union[str, Any]												=					get_results(_a		,split='''test'''			)
										self.assertGreaterEqual(result['''test_rouge1''']		,10			)
										self.assertGreaterEqual(result['''test_rouge2''']		,2			)
										self.assertGreaterEqual(result['''test_rougeL''']		,7			)
										self.assertGreaterEqual(result['''test_rougeLsum''']		,7			)



		@slow
		def 		lowerCAmelCase__				(self			)					->      Optional[int]:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					self.get_auto_remove_tmp_dir()
						lowerCAmelCase__					:    int												=					f"""\n            run_mlm.py\n            --model_name_or_path distilroberta-base\n            --train_file ./tests/fixtures/sample_text.txt\n            --validation_file ./tests/fixtures/sample_text.txt\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --max_seq_length 128\n            --per_device_train_batch_size 4\n            --per_device_eval_batch_size 4\n            --logging_steps 2 --eval_steps 2\n            --do_train\n            --do_eval\n            --num_train_epochs=1\n        """.split()

						with patch.object(_a		,'''argv'''		,_a			):
										run_mlm_flax.main()
										lowerCAmelCase__					:    str												=					get_results(_a			)
										self.assertLess(result['''eval_perplexity''']		,42			)



		@slow
		def 		lowerCAmelCase__				(self			)					->      str:

						"""simple docstring"""






						lowerCAmelCase__					:    List[str]												=					self.get_auto_remove_tmp_dir()
						lowerCAmelCase__					:    str												=					f"""\n            run_t5_mlm_flax.py\n            --model_name_or_path t5-small\n            --train_file ./tests/fixtures/sample_text.txt\n            --validation_file ./tests/fixtures/sample_text.txt\n            --do_train\n            --do_eval\n            --max_seq_length 128\n            --per_device_train_batch_size 4\n            --per_device_eval_batch_size 4\n            --num_train_epochs 2\n            --logging_steps 2 --eval_steps 2\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            """.split()

						with patch.object(_a		,'''argv'''		,_a			):
										run_ta_mlm_flax.main()
										lowerCAmelCase__					:    List[Any]												=					get_results(_a			)
										self.assertGreaterEqual(result['''eval_accuracy''']		,0.42			)



		@slow
		def 		lowerCAmelCase__				(self			)					->      List[Any]:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					7 if get_gpu_count() > 1 else 2

						lowerCAmelCase__					:    Dict												=					self.get_auto_remove_tmp_dir()
						lowerCAmelCase__					:    Any												=					f"""\n            run_flax_ner.py\n            --model_name_or_path bert-base-uncased\n            --train_file tests/fixtures/tests_samples/conll/sample.json\n            --validation_file tests/fixtures/tests_samples/conll/sample.json\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --do_train\n            --do_eval\n            --warmup_steps=2\n            --learning_rate=2e-4\n            --logging_steps 2 --eval_steps 2\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=2\n            --num_train_epochs={epochs}\n            --seed 7\n        """.split()

						with patch.object(_a		,'''argv'''		,_a			):
										run_flax_ner.main()
										lowerCAmelCase__					:    List[Any]												=					get_results(_a			)
										self.assertGreaterEqual(result['''eval_accuracy''']		,0.75			)
										self.assertGreaterEqual(result['''eval_f1''']		,0.3			)



		@slow
		def 		lowerCAmelCase__				(self			)					->      str:

						"""simple docstring"""






						lowerCAmelCase__					:    Union[str, Any]												=					self.get_auto_remove_tmp_dir()
						lowerCAmelCase__					:    Optional[int]												=					f"""\n            run_qa.py\n            --model_name_or_path bert-base-uncased\n            --version_2_with_negative\n            --train_file tests/fixtures/tests_samples/SQUAD/sample.json\n            --validation_file tests/fixtures/tests_samples/SQUAD/sample.json\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --num_train_epochs=3\n            --warmup_steps=2\n            --do_train\n            --do_eval\n            --logging_steps 2 --eval_steps 2\n            --learning_rate=2e-4\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=1\n        """.split()

						with patch.object(_a		,'''argv'''		,_a			):
										run_qa.main()
										lowerCAmelCase__					:    int												=					get_results(_a			)
										self.assertGreaterEqual(result['''eval_f1''']		,30			)
										self.assertGreaterEqual(result['''eval_exact''']		,30			)









def      lowerCAmelCase__		(   lowerCamelCase_		:		int	,lowerCamelCase_		:		int):





				'''simple docstring'''

				while b:
								lowerCAmelCase__						,		lowerCAmelCase__					:    Optional[Any]												=					b, a % b
				return a






def      lowerCAmelCase__		(   lowerCamelCase_		:		int	,lowerCamelCase_		:		int):





				'''simple docstring'''

				return a if b == 0 else euclidean_gcd_recursive(lowerCamelCase_	,a % b)






def      lowerCAmelCase__		(   ):





				'''simple docstring'''

				print(f"""euclidean_gcd(3, 5) = {euclidean_gcd(3	,5)}""")
				print(f"""euclidean_gcd(5, 3) = {euclidean_gcd(5	,3)}""")
				print(f"""euclidean_gcd(1, 3) = {euclidean_gcd(1	,3)}""")
				print(f"""euclidean_gcd(3, 6) = {euclidean_gcd(3	,6)}""")
				print(f"""euclidean_gcd(6, 3) = {euclidean_gcd(6	,3)}""")

				print(f"""euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3	,5)}""")
				print(f"""euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5	,3)}""")
				print(f"""euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1	,3)}""")
				print(f"""euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3	,6)}""")
				print(f"""euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6	,3)}""")


if __name__ == "__main__":
							main()

