"""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 			_lowercase		(   unittest.TestCase  ):
				lowerCamelCase__						=       MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
				lowerCamelCase__						=       TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING

				def        A (     self       :    Union[str, Any]       ,    _lowercase       :    Union[str, Any]       ,    _lowercase       :    List[str]       ,    _lowercase       :    int     ):


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

				def        A (     self       :    Optional[Any]       ,    _lowercase       :    List[str]       ,    _lowercase       :    Union[str, Any]     ):


										'''simple docstring'''
										UpperCAmelCase__						=		translator("""Some string"""     )
										self.assertEqual(_lowercase       ,    [{"""translation_text""": ANY(_lowercase     )}]     )

										UpperCAmelCase__						=		translator(["""Some string"""]     )
										self.assertEqual(_lowercase       ,    [{"""translation_text""": ANY(_lowercase     )}]     )

										UpperCAmelCase__						=		translator(["""Some string""", """other string"""]     )
										self.assertEqual(_lowercase       ,    [{"""translation_text""": ANY(_lowercase     )}, {"""translation_text""": ANY(_lowercase     )}]     )

				@require_torch
				def        A (     self       :    Optional[int]     ):


										'''simple docstring'''
										UpperCAmelCase__						=		pipeline("""translation_en_to_ro"""       ,    model="""patrickvonplaten/t5-tiny-random"""       ,    framework="""pt"""     )
										UpperCAmelCase__						=		translator("""This is a test string"""       ,    max_length=2_0     )
										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'''
										UpperCAmelCase__						=		pipeline("""translation_en_to_ro"""       ,    model="""patrickvonplaten/t5-tiny-random"""       ,    framework="""tf"""     )
										UpperCAmelCase__						=		translator("""This is a test string"""       ,    max_length=2_0     )
										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       :    Tuple     ):


										'''simple docstring'''
										UpperCAmelCase__						=		pipeline("""translation_en_to_de"""       ,    model="""patrickvonplaten/t5-tiny-random"""       ,    framework="""pt"""     )
										UpperCAmelCase__						=		translator("""This is a test string"""       ,    max_length=2_0     )
										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       :    Optional[Any]     ):


										'''simple docstring'''
										UpperCAmelCase__						=		pipeline("""translation_en_to_de"""       ,    model="""patrickvonplaten/t5-tiny-random"""       ,    framework="""tf"""     )
										UpperCAmelCase__						=		translator("""This is a test string"""       ,    max_length=2_0     )
										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 			_lowercase		(   unittest.TestCase  ):

				@require_torch
				@slow
				def        A (     self       :    int     ):


										'''simple docstring'''
										# We don't provide a default for this pair
										with self.assertRaises(_lowercase     ):
																pipeline(task="""translation_cn_to_ar"""     )

										# but we do for this one
										UpperCAmelCase__						=		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       :    Optional[Any]     ):


										'''simple docstring'''
										UpperCAmelCase__						=		MBartForConditionalGeneration.from_pretrained("""facebook/mbart-large-50-many-to-many-mmt"""     )
										UpperCAmelCase__						=		MBartaaTokenizerFast.from_pretrained("""facebook/mbart-large-50-many-to-many-mmt"""     )

										UpperCAmelCase__						=		pipeline(task="""translation"""       ,    model=_lowercase       ,    tokenizer=_lowercase     )
										# Missing src_lang, tgt_lang
										with self.assertRaises(_lowercase     ):
																translator("""This is a test"""     )

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

										UpperCAmelCase__						=		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
										UpperCAmelCase__						=		pipeline(task="""translation"""       ,    model=_lowercase       ,    tokenizer=_lowercase       ,    src_lang="""en_XX"""       ,    tgt_lang="""ar_AR"""     )
										UpperCAmelCase__						=		translator("""This is a test"""     )
										self.assertEqual(_lowercase       ,    [{"""translation_text""": """هذا إختبار"""}]     )

				@require_torch
				def        A (     self       :    Optional[int]     ):


										'''simple docstring'''
										UpperCAmelCase__						=		"""patrickvonplaten/t5-tiny-random"""
										UpperCAmelCase__						=		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       :    Union[str, Any]     ):


										'''simple docstring'''
										UpperCAmelCase__						=		"""patrickvonplaten/t5-tiny-random"""
										with pytest.warns(_lowercase       ,    match=r""".*translation_en_to_de.*"""     ):
																UpperCAmelCase__						=		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       :    Dict     ):


										'''simple docstring'''
										with self.assertRaises(_lowercase     ):
																pipeline(task="""translation"""     )


"""simple docstring"""







import math
from timeit import timeit


def   a__      (		UpperCAmelCase__       :			int			)->	int:
						UpperCAmelCase__						=		0
						UpperCAmelCase__						=		abs(UpperCAmelCase__			)
						while True:
												UpperCAmelCase__						=		n // 1_0
												digits += 1
												if n == 0:
																		break
						return digits


def   a__      (		UpperCAmelCase__       :			int			)->	int:
						return 1 if n == 0 else math.floor(math.log(abs(UpperCAmelCase__			)		,			1_0			) + 1			)


def   a__      (		UpperCAmelCase__       :			int			)->	int:
						return len(str(abs(UpperCAmelCase__			)			)			)


def   a__      (		)->	None:
						from collections.abc import Callable

						def benchmark_a_function(UpperCAmelCase__       :			Callable		,			UpperCAmelCase__       :			int			) -> None:
												UpperCAmelCase__						=		f'{func.__name__}({value})'
												UpperCAmelCase__						=		timeit(f'__main__.{call}'		,			setup="""import __main__"""			)
												print(f'{call}: {func(UpperCAmelCase__			)} -- {timing} seconds'			)

						for value in (2_6_2_1_4_4, 1_1_2_5_8_9_9_9_0_6_8_4_2_6_2_4, 1_2_6_7_6_5_0_6_0_0_2_2_8_2_2_9_4_0_1_4_9_6_7_0_3_2_0_5_3_7_6):
												for func in (num_digits, num_digits_fast, num_digits_faster):
																		benchmark_a_function(UpperCAmelCase__		,			UpperCAmelCase__			)
												print()


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						benchmark()

