
"""simple docstring"""




import unittest

import pytest

from transformers import (
    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    MBartaaTokenizerFast,
    MBartConfig,
    MBartForConditionalGeneration,
    TranslationPipeline,
    pipeline,
)
from transformers.testing_utils import is_pipeline_test, require_tf, require_torch, slow

from .test_pipelines_common import ANY




@is_pipeline_test
class 	UpperCamelCase      (			unittest.TestCase ):

				"""simple docstring"""



				UpperCAmelCase_							: List[Any]		    =							MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
				UpperCAmelCase_							: Any		    =							TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING


				def 				A   (							self						,      lowercase__						,      lowercase__						,      lowercase__     )       ->       Dict:
									"""simple docstring"""







									if isinstance(model.config						,      lowercase__     ):
														SCREAMING_SNAKE_CASE      ,       SCREAMING_SNAKE_CASE           =      list(tokenizer.lang_code_to_id.keys()     )[:2]
														SCREAMING_SNAKE_CASE           =      TranslationPipeline(model=lowercase__						,      tokenizer=lowercase__						,      src_lang=lowercase__						,      tgt_lang=lowercase__     )
									else:
														SCREAMING_SNAKE_CASE           =      TranslationPipeline(model=lowercase__						,      tokenizer=lowercase__     )
									return translator, ["Some string", "Some other text"]


				def 				A   (							self						,      lowercase__						,      lowercase__     )       ->       List[str]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      translator('Some string'     )
									self.assertEqual(lowercase__						,      [{'translation_text': ANY(lowercase__     )}]     )

									SCREAMING_SNAKE_CASE           =      translator(['Some string']     )
									self.assertEqual(lowercase__						,      [{'translation_text': ANY(lowercase__     )}]     )

									SCREAMING_SNAKE_CASE           =      translator(['Some string', 'other string']     )
									self.assertEqual(lowercase__						,      [{'translation_text': ANY(lowercase__     )}, {'translation_text': ANY(lowercase__     )}]     )


				@require_torch
				def 				A   (							self     )       ->       Any:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      pipeline('translation_en_to_ro'						,      model='patrickvonplaten/t5-tiny-random'						,      framework='pt'     )
									SCREAMING_SNAKE_CASE           =      translator('This is a test string'						,      max_length=20     )
									self.assertEqual(
									    lowercase__						,      [
									        {
									            'translation_text': (
									                'Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide'
									                ' Beide Beide'
									            )
									        }
									    ]						,      )


				@require_tf
				def 				A   (							self     )       ->       List[str]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      pipeline('translation_en_to_ro'						,      model='patrickvonplaten/t5-tiny-random'						,      framework='tf'     )
									SCREAMING_SNAKE_CASE           =      translator('This is a test string'						,      max_length=20     )
									self.assertEqual(
									    lowercase__						,      [
									        {
									            'translation_text': (
									                'Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide'
									                ' Beide Beide'
									            )
									        }
									    ]						,      )


				@require_torch
				def 				A   (							self     )       ->       Optional[Any]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      pipeline('translation_en_to_de'						,      model='patrickvonplaten/t5-tiny-random'						,      framework='pt'     )
									SCREAMING_SNAKE_CASE           =      translator('This is a test string'						,      max_length=20     )
									self.assertEqual(
									    lowercase__						,      [
									        {
									            'translation_text': (
									                'monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine'
									                ' urine urine urine urine urine urine urine'
									            )
									        }
									    ]						,      )




				@require_tf
				def 				A   (							self     )       ->       int:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      pipeline('translation_en_to_de'						,      model='patrickvonplaten/t5-tiny-random'						,      framework='tf'     )
									SCREAMING_SNAKE_CASE           =      translator('This is a test string'						,      max_length=20     )
									self.assertEqual(
									    lowercase__						,      [
									        {
									            'translation_text': (
									                'monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine'
									                ' urine urine urine urine urine urine urine'
									            )
									        }
									    ]						,      )






class 	UpperCamelCase      (			unittest.TestCase ):

				"""simple docstring"""



				@require_torch
				@slow
				def 				A   (							self     )       ->       List[Any]:
									"""simple docstring"""







									with self.assertRaises(lowercase__     ):
														pipeline(task='translation_cn_to_ar'     )

									# but we do for this one
									SCREAMING_SNAKE_CASE           =      pipeline(task='translation_en_to_de'     )
									self.assertEqual(translator._preprocess_params['src_lang']						,      'en'     )
									self.assertEqual(translator._preprocess_params['tgt_lang']						,      'de'     )


				@require_torch
				@slow
				def 				A   (							self     )       ->       Union[str, Any]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      MBartForConditionalGeneration.from_pretrained('facebook/mbart-large-50-many-to-many-mmt'     )
									SCREAMING_SNAKE_CASE           =      MBartaaTokenizerFast.from_pretrained('facebook/mbart-large-50-many-to-many-mmt'     )

									SCREAMING_SNAKE_CASE           =      pipeline(task='translation'						,      model=lowercase__						,      tokenizer=lowercase__     )
									# Missing src_lang, tgt_lang
									with self.assertRaises(lowercase__     ):
														translator('This is a test'     )

									SCREAMING_SNAKE_CASE           =      translator('This is a test'						,      src_lang='en_XX'						,      tgt_lang='ar_AR'     )
									self.assertEqual(lowercase__						,      [{'translation_text': 'هذا إختبار'}]     )

									SCREAMING_SNAKE_CASE           =      translator('This is a test'						,      src_lang='en_XX'						,      tgt_lang='hi_IN'     )
									self.assertEqual(lowercase__						,      [{'translation_text': 'यह एक परीक्षण है'}]     )

									# src_lang, tgt_lang can be defined at pipeline call time
									SCREAMING_SNAKE_CASE           =      pipeline(task='translation'						,      model=lowercase__						,      tokenizer=lowercase__						,      src_lang='en_XX'						,      tgt_lang='ar_AR'     )
									SCREAMING_SNAKE_CASE           =      translator('This is a test'     )
									self.assertEqual(lowercase__						,      [{'translation_text': 'هذا إختبار'}]     )


				@require_torch
				def 				A   (							self     )       ->       str:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      'patrickvonplaten/t5-tiny-random'
									SCREAMING_SNAKE_CASE           =      pipeline(task='translation_cn_to_ar'						,      model=lowercase__     )
									self.assertEqual(translator._preprocess_params['src_lang']						,      'cn'     )
									self.assertEqual(translator._preprocess_params['tgt_lang']						,      'ar'     )


				@require_torch
				def 				A   (							self     )       ->       int:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      'patrickvonplaten/t5-tiny-random'
									with pytest.warns(lowercase__						,      match=r'.*translation_en_to_de.*'     ):
														SCREAMING_SNAKE_CASE           =      pipeline(task='translation'						,      model=lowercase__     )
									self.assertEqual(translator.task						,      'translation_en_to_de'     )
									self.assertEqual(translator._preprocess_params['src_lang']						,      'en'     )
									self.assertEqual(translator._preprocess_params['tgt_lang']						,      'de'     )




				@require_torch
				def 				A   (							self     )       ->       Tuple:
									"""simple docstring"""







									with self.assertRaises(lowercase__     ):
														pipeline(task='translation'     )


"""simple docstring"""




from itertools import permutations

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_ = 5     ):
					if gon_side < 3 or gon_side > 5:
										raise ValueError('gon_side must be in the range [3, 5]'     )

					# Since it's 16, we know 10 is on the outer ring
					# Put the big numbers at the end so that they are never the first number
					SCREAMING_SNAKE_CASE           =      list(range(gon_side + 1,	0,	-1     )     )
					SCREAMING_SNAKE_CASE           =      list(range(gon_side + 2,	gon_side * 2 + 1     )     )

					for perm in permutations(small_numbers + big_numbers     ):
										SCREAMING_SNAKE_CASE           =      generate_gon_ring(SCREAMING_SNAKE_CASE_,	list(SCREAMING_SNAKE_CASE_     )     )
										if is_magic_gon(SCREAMING_SNAKE_CASE_     ):
															return int(''.join(str(SCREAMING_SNAKE_CASE_     ) for n in numbers     )     )

					SCREAMING_SNAKE_CASE           =      f'''Magic {gon_side}-gon ring is impossible'''
					raise ValueError(SCREAMING_SNAKE_CASE_     )

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     ):
					SCREAMING_SNAKE_CASE           =      [0] * (gon_side * 3)
					SCREAMING_SNAKE_CASE           =      perm[0:3]
					perm.append(perm[1]     )

					SCREAMING_SNAKE_CASE           =      1 if gon_side < 5 else 2

					for i in range(1,	len(SCREAMING_SNAKE_CASE_     ) // 3 + magic_number     ):
										SCREAMING_SNAKE_CASE           =      perm[2 * i + 1]
										SCREAMING_SNAKE_CASE           =      result[3 * i - 1]
										SCREAMING_SNAKE_CASE           =      perm[2 * i + 2]

					return result

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_     ):
					if len(SCREAMING_SNAKE_CASE_     ) % 3 != 0:
										raise ValueError('a gon ring should have a length that is a multiple of 3'     )

					if min(numbers[::3]     ) != numbers[0]:
										return False

					SCREAMING_SNAKE_CASE           =      sum(numbers[:3]     )

					return all(sum(numbers[i : i + 3]     ) == total for i in range(3,	len(SCREAMING_SNAKE_CASE_     ),	3     )     )


if __name__ == "__main__":
	print(solution())
