


import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
      from transformers import AutoModelForSeqaSeqLM, AutoTokenizer



@require_torch
@require_sentencepiece
@require_tokenizers
class 	lowerCamelCase__			(      unittest.TestCase      ):




   @slow
   def 							lowerCamelCase_   (   self						:						Dict							):




         '''simple docstring'''







         lowerCamelCase__:						str							   = AutoModelForSeqaSeqLM.from_pretrained("""google/mt5-small"""    ,    return_dict=__a							).to(__a							)
         lowerCamelCase__:						str							   = AutoTokenizer.from_pretrained("""google/mt5-small"""							)

         lowerCamelCase__:						Any							   = tokenizer("""Hello there"""    ,    return_tensors="""pt"""							).input_ids
         lowerCamelCase__:						Optional[Any]							   = tokenizer("""Hi I am"""    ,    return_tensors="""pt"""							).input_ids

         lowerCamelCase__:						Optional[Any]							   = model(input_ids.to(__a							)    ,    labels=labels.to(__a							)							).loss
         lowerCamelCase__:						Union[str, Any]							   = -(labels.shape[-1] * loss.item())

         lowerCamelCase__:						Union[str, Any]							   = -84.9127
         self.assertTrue(abs(mtf_score - EXPECTED_SCORE							) < 1e-4							)










import os

try:
 from .build_directory_md import good_file_paths
except ImportError:
 from build_directory_md import good_file_paths  # type: ignore

SCREAMING_SNAKE_CASE			: int				   =					list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

SCREAMING_SNAKE_CASE			: Dict				   =					[file for file in filepaths if file != file.lower()]
if upper_files:
 print(F"{len(upper_files)} files contain uppercase characters:")
 print("\n".join(upper_files) + "\n")

SCREAMING_SNAKE_CASE			: List[Any]				   =					[file for file in filepaths if " " in file]
if space_files:
 print(F"{len(space_files)} files contain space characters:")
 print("\n".join(space_files) + "\n")

SCREAMING_SNAKE_CASE			: Any				   =					[file for file in filepaths if "-" in file]
if hyphen_files:
 print(F"{len(hyphen_files)} files contain hyphen characters:")
 print("\n".join(hyphen_files) + "\n")

SCREAMING_SNAKE_CASE			: str				   =					[file for file in filepaths if os.sep not in file]
if nodir_files:
 print(F"{len(nodir_files)} files are not in a directory:")
 print("\n".join(nodir_files) + "\n")

SCREAMING_SNAKE_CASE			: Tuple				   =					len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
 import sys

 sys.exit(bad_files)


