
'''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 			__A					(			unittest.TestCase      ):
 lowerCamelCase												=MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
 lowerCamelCase												=TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
 def 		lowercase_( self      :     Tuple					, lowerCamelCase      :     Optional[Any]					, lowerCamelCase      :     Union[str, Any]					, lowerCamelCase      :     Optional[int]							):



   """simple docstring"""





   if isinstance(model.config					, lowerCAmelCase__							):
     __A		:  Dict       				=		list(tokenizer.lang_code_to_id.keys()							)[:2]
     __A		:  Dict       				=		TranslationPipeline(model=lowerCAmelCase__					, tokenizer=lowerCAmelCase__					, src_lang=lowerCAmelCase__					, tgt_lang=lowerCAmelCase__							)
   else:
     __A		:  str       				=		TranslationPipeline(model=lowerCAmelCase__					, tokenizer=lowerCAmelCase__							)
   return translator, ["Some string", "Some other text"]
 def 		lowercase_( self      :     str					, lowerCamelCase      :     Any					, lowerCamelCase      :     Optional[Any]							):



   """simple docstring"""





   __A		:  Optional[Any]       				=		translator("""Some string"""							)
   self.assertEqual(lowerCAmelCase__					, [{"""translation_text""": ANY(lowerCAmelCase__							)}]							)

   __A		:  List[str]       				=		translator(["""Some string"""]							)
   self.assertEqual(lowerCAmelCase__					, [{"""translation_text""": ANY(lowerCAmelCase__							)}]							)

   __A		:  Optional[int]       				=		translator(["""Some string""", """other string"""]							)
   self.assertEqual(lowerCAmelCase__					, [{"""translation_text""": ANY(lowerCAmelCase__							)}, {"""translation_text""": ANY(lowerCAmelCase__							)}]							)
 @require_torch
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   __A		:  int       				=		pipeline("""translation_en_to_ro"""					, model="""patrickvonplaten/t5-tiny-random"""					, framework="""pt"""							)
   __A		:  Any       				=		translator("""This is a test string"""					, max_length=20							)
   self.assertEqual(
       lowerCAmelCase__					, [
           {
               """translation_text""": (
                   """Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide"""
                   """ Beide Beide"""
               )
           }
       ]					, )
 @require_tf
 def 		lowercase_( self      :     Dict							):



   """simple docstring"""





   __A		:  str       				=		pipeline("""translation_en_to_ro"""					, model="""patrickvonplaten/t5-tiny-random"""					, framework="""tf"""							)
   __A		:  List[Any]       				=		translator("""This is a test string"""					, max_length=20							)
   self.assertEqual(
       lowerCAmelCase__					, [
           {
               """translation_text""": (
                   """Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide"""
                   """ Beide Beide"""
               )
           }
       ]					, )
 @require_torch
 def 		lowercase_( self      :     Any							):



   """simple docstring"""





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






 @require_tf
 def 		lowercase_( self      :     Tuple							):



   """simple docstring"""





   __A		:  List[str]       				=		pipeline("""translation_en_to_de"""					, model="""patrickvonplaten/t5-tiny-random"""					, framework="""tf"""							)
   __A		:  Union[str, Any]       				=		translator("""This is a test string"""					, max_length=20							)
   self.assertEqual(
       lowerCAmelCase__					, [
           {
               """translation_text""": (
                   """monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine"""
                   """ urine urine urine urine urine urine urine"""
               )
           }
       ]					, )







class 			__A					(			unittest.TestCase      ):
 @require_torch
 @slow
 def 		lowercase_( self      :     Dict							):



   """simple docstring"""





   with self.assertRaises(lowerCAmelCase__							):
     pipeline(task="""translation_cn_to_ar"""							)

   # but we do for this one
   __A		:  Optional[int]       				=		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 		lowercase_( self      :     Any							):



   """simple docstring"""





   __A		:  str       				=		MBartForConditionalGeneration.from_pretrained("""facebook/mbart-large-50-many-to-many-mmt"""							)
   __A		:  Dict       				=		MBartaaTokenizerFast.from_pretrained("""facebook/mbart-large-50-many-to-many-mmt"""							)

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

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

   __A		:  int       				=		translator("""This is a test"""					, src_lang="""en_XX"""					, tgt_lang="""hi_IN"""							)
   self.assertEqual(lowerCAmelCase__					, [{"""translation_text""": """यह एक परीक्षण है"""}]							)

   # src_lang, tgt_lang can be defined at pipeline call time
   __A		:  int       				=		pipeline(task="""translation"""					, model=lowerCAmelCase__					, tokenizer=lowerCAmelCase__					, src_lang="""en_XX"""					, tgt_lang="""ar_AR"""							)
   __A		:  int       				=		translator("""This is a test"""							)
   self.assertEqual(lowerCAmelCase__					, [{"""translation_text""": """هذا إختبار"""}]							)
 @require_torch
 def 		lowercase_( self      :     Dict							):



   """simple docstring"""





   __A		:  str       				=		"patrickvonplaten/t5-tiny-random"
   __A		:  Dict       				=		pipeline(task="""translation_cn_to_ar"""					, model=lowerCAmelCase__							)
   self.assertEqual(translator._preprocess_params["""src_lang"""]					, """cn"""							)
   self.assertEqual(translator._preprocess_params["""tgt_lang"""]					, """ar"""							)
 @require_torch
 def 		lowercase_( self      :     Any							):



   """simple docstring"""





   __A		:  int       				=		"patrickvonplaten/t5-tiny-random"
   with pytest.warns(lowerCAmelCase__					, match=r""".*translation_en_to_de.*"""							):
     __A		:  Optional[int]       				=		pipeline(task="""translation"""					, model=lowerCAmelCase__							)
   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 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   with self.assertRaises(lowerCAmelCase__							):
     pipeline(task="""translation"""							)









"""simple docstring"""
# Lint as: python3

import hashlib
from typing import Union






def 				__lowerCAmelCase					(					__lowerCAmelCase			:		Union[str, int, bytes]						)    ->       bytes:
 if isinstance(__lowerCAmelCase  ,	__lowerCAmelCase						):
  # Data already in bytes, returns as it as
  return hash_data
 elif isinstance(__lowerCAmelCase  ,	__lowerCAmelCase						):
  # We keep the data as it as for it ot be later encoded to UTF-8
  # However replace `\\` with `/` for Windows compatibility
  _UpperCamelCase      :	int					      =  hash_data.replace("\\"  ,	"/"						)
 elif isinstance(__lowerCAmelCase  ,	__lowerCAmelCase						):
  _UpperCamelCase      :	Union[str, Any]					      =  str(__lowerCAmelCase						)
 else:
  # If data is not of the required type, raise error
  raise InvalidKeyError(__lowerCAmelCase						)

 return hash_data.encode("utf-8"						)







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 def __init__(self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	int					      =  "\nFAILURE TO GENERATE DATASET: Invalid key type detected"
  _UpperCamelCase      :	Tuple					      =  F"\nFound Key {hash_data} of type {type(lowerCAmelCase__   )}"
  _UpperCamelCase      :	str					      =  "\nKeys should be either str, int or bytes type"
  super().__init__(F"{self.prefix}{self.err_msg}{self.suffix}"   )







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 def __init__(self					,     lowerCAmelCase__					,     lowerCAmelCase__					,     lowerCAmelCase__=""   ):

  '''simple docstring'''







  _UpperCamelCase      :	Optional[int]					      =  key
  _UpperCamelCase      :	Tuple					      =  duplicate_key_indices
  _UpperCamelCase      :	int					      =  fix_msg
  _UpperCamelCase      :	List[Any]					      =  "Found multiple examples generated with the same key"
  if len(lowerCAmelCase__   ) <= 20:
   _UpperCamelCase      :	Optional[Any]					      =  F"\nThe examples at index {', '.join(lowerCAmelCase__   )} have the key {key}"
  else:
   _UpperCamelCase      :	Union[str, Any]					      =  F"\nThe examples at index {', '.join(duplicate_key_indices[:20]   )}... ({len(lowerCAmelCase__   ) - 20} more) have the key {key}"
  _UpperCamelCase      :	List[Any]					      =  "\n" + fix_msg if fix_msg else ""
  super().__init__(F"{self.prefix}{self.err_msg}{self.suffix}"   )







class  _SCREAMING_SNAKE_CASE       :



 '''simple docstring'''





 def __init__(self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	Union[str, Any]					      =  hashlib.mda(_as_bytes(lowerCAmelCase__   )   )






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	Any					      =  self._split_mda.copy()
  _UpperCamelCase      :	List[str]					      =  _as_bytes(lowerCAmelCase__   )
  mda.update(lowerCAmelCase__   )
  # Convert to integer with hexadecimal conversion
  return int(mda.hexdigest()					,     16   )



