


'''simple docstring'''
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											=					[
    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											=					logging.getLogger()


def       a				(      )  ->     Any:



					'''simple docstring'''






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


def       a				(      __a			, __a="eval"       )  ->     Optional[int]:



					'''simple docstring'''






					UpperCamelCase__       :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											=					logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)







class        lowercase     (							A__ ):

		"""simple docstring"""

		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


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

							with patch.object(UpperCamelCase_   ,       '''argv'''   ,       UpperCamelCase_							):
												run_flax_glue.main()
												UpperCamelCase__       :Optional[int]							 =			get_results(UpperCamelCase_							)
												self.assertGreaterEqual(result['''eval_accuracy''']   ,       0.75							)




		@slow
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Dict							 =			self.get_auto_remove_tmp_dir()
							UpperCamelCase__       :int							 =			F'''
            run_clm_flax.py
            --model_name_or_path distilgpt2
            --train_file ./tests/fixtures/sample_text.txt
            --validation_file ./tests/fixtures/sample_text.txt
            --do_train
            --do_eval
            --block_size 128
            --per_device_train_batch_size 4
            --per_device_eval_batch_size 4
            --num_train_epochs 2
            --logging_steps 2 --eval_steps 2
            --output_dir {tmp_dir}
            --overwrite_output_dir
            '''.split()

							with patch.object(UpperCamelCase_   ,       '''argv'''   ,       UpperCamelCase_							):
												run_clm_flax.main()
												UpperCamelCase__       :Dict							 =			get_results(UpperCamelCase_							)
												self.assertLess(result['''eval_perplexity''']   ,       100							)




		@slow
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :List[str]							 =			self.get_auto_remove_tmp_dir()
							UpperCamelCase__       :List[Any]							 =			F'''
            run_summarization.py
            --model_name_or_path t5-small
            --train_file tests/fixtures/tests_samples/xsum/sample.json
            --validation_file tests/fixtures/tests_samples/xsum/sample.json
            --test_file tests/fixtures/tests_samples/xsum/sample.json
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --num_train_epochs=3
            --warmup_steps=8
            --do_train
            --do_eval
            --do_predict
            --learning_rate=2e-4
            --per_device_train_batch_size=2
            --per_device_eval_batch_size=1
            --predict_with_generate
        '''.split()

							with patch.object(UpperCamelCase_   ,       '''argv'''   ,       UpperCamelCase_							):
												run_summarization_flax.main()
												UpperCamelCase__       :List[str]							 =			get_results(UpperCamelCase_   ,       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							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[Any]							 =			self.get_auto_remove_tmp_dir()
							UpperCamelCase__       :Optional[Any]							 =			F'''
            run_mlm.py
            --model_name_or_path distilroberta-base
            --train_file ./tests/fixtures/sample_text.txt
            --validation_file ./tests/fixtures/sample_text.txt
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --max_seq_length 128
            --per_device_train_batch_size 4
            --per_device_eval_batch_size 4
            --logging_steps 2 --eval_steps 2
            --do_train
            --do_eval
            --num_train_epochs=1
        '''.split()

							with patch.object(UpperCamelCase_   ,       '''argv'''   ,       UpperCamelCase_							):
												run_mlm_flax.main()
												UpperCamelCase__       :Union[str, Any]							 =			get_results(UpperCamelCase_							)
												self.assertLess(result['''eval_perplexity''']   ,       42							)




		@slow
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Dict							 =			self.get_auto_remove_tmp_dir()
							UpperCamelCase__       :Union[str, Any]							 =			F'''
            run_t5_mlm_flax.py
            --model_name_or_path t5-small
            --train_file ./tests/fixtures/sample_text.txt
            --validation_file ./tests/fixtures/sample_text.txt
            --do_train
            --do_eval
            --max_seq_length 128
            --per_device_train_batch_size 4
            --per_device_eval_batch_size 4
            --num_train_epochs 2
            --logging_steps 2 --eval_steps 2
            --output_dir {tmp_dir}
            --overwrite_output_dir
            '''.split()

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




		@slow
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			7 if get_gpu_count() > 1 else 2

							UpperCamelCase__       :Union[str, Any]							 =			self.get_auto_remove_tmp_dir()
							UpperCamelCase__       :Union[str, Any]							 =			F'''
            run_flax_ner.py
            --model_name_or_path bert-base-uncased
            --train_file tests/fixtures/tests_samples/conll/sample.json
            --validation_file tests/fixtures/tests_samples/conll/sample.json
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --do_train
            --do_eval
            --warmup_steps=2
            --learning_rate=2e-4
            --logging_steps 2 --eval_steps 2
            --per_device_train_batch_size=2
            --per_device_eval_batch_size=2
            --num_train_epochs={epochs}
            --seed 7
        '''.split()

							with patch.object(UpperCamelCase_   ,       '''argv'''   ,       UpperCamelCase_							):
												run_flax_ner.main()
												UpperCamelCase__       :Union[str, Any]							 =			get_results(UpperCamelCase_							)
												self.assertGreaterEqual(result['''eval_accuracy''']   ,       0.75							)
												self.assertGreaterEqual(result['''eval_f1''']   ,       0.3							)




		@slow
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Tuple							 =			self.get_auto_remove_tmp_dir()
							UpperCamelCase__       :List[str]							 =			F'''
            run_qa.py
            --model_name_or_path bert-base-uncased
            --version_2_with_negative
            --train_file tests/fixtures/tests_samples/SQUAD/sample.json
            --validation_file tests/fixtures/tests_samples/SQUAD/sample.json
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --num_train_epochs=3
            --warmup_steps=2
            --do_train
            --do_eval
            --logging_steps 2 --eval_steps 2
            --learning_rate=2e-4
            --per_device_train_batch_size=2
            --per_device_eval_batch_size=1
        '''.split()

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



'''simple docstring'''
from __future__ import annotations

import math


def       a				(      __a       )  ->     bool:



					'''simple docstring'''






					if 1 < number < 4:
										# 2 and 3 are primes
										return True
					elif number < 2 or number % 2 == 0 or number % 3 == 0:
										# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
										return False

					# All primes number are in format of 6k +/- 1
					for i in range(5			, int(math.sqrt(__a       ) + 1       )			, 6       ):
										if number % i == 0 or number % (i + 2) == 0:
															return False
					return True


def       a				(      __a       )  ->     list[int]:



					'''simple docstring'''






					UpperCamelCase__       :List[Any]							 =			str(__a       )
					UpperCamelCase__       :Dict							 =			[n]
					for i in range(1			, len(__a       )       ):
										list_nums.append(int(str_num[i:]       )       )
										list_nums.append(int(str_num[:-i]       )       )
					return list_nums


def       a				(      __a       )  ->     bool:



					'''simple docstring'''






					if len(str(__a       )       ) > 3:
										if not is_prime(int(str(__a       )[-3:]       )       ) or not is_prime(int(str(__a       )[:3]       )       ):
															return False
					return True


def       a				(      __a = 11       )  ->     list[int]:



					'''simple docstring'''






					UpperCamelCase__       :list[int]							 =			[]
					UpperCamelCase__       :int							 =			13
					while len(__a       ) != count:
										if validate(__a       ):
															UpperCamelCase__       :Optional[int]							 =			list_truncated_nums(__a       )
															if all(is_prime(__a       ) for i in list_nums       ):
																				list_truncated_primes.append(__a       )
										num += 2
					return list_truncated_primes


def       a				(      )  ->     int:



					'''simple docstring'''






					return sum(compute_truncated_primes(11       )       )


if __name__ == "__main__":
		print(F"""{sum(compute_truncated_primes(11)) = }""")