
import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
							import optax
							from flax.training.common_utils import onehot

							from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
							from transformers.models.ta.modeling_flax_ta import shift_tokens_right






@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class        _a(    unittest.TestCase    ):







		@slow
		def        lowercase       (    self				)      ->      Optional[int]:


							'''simple docstring'''

							_snake_case       :					int				       =   FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"				)
							_snake_case       :					List[Any]				       =   AutoTokenizer.from_pretrained("google/mt5-small"				)

							_snake_case       :					Dict				       =   tokenizer("Hello there" ,						return_tensors="np"				).input_ids
							_snake_case       :					List[str]				       =   tokenizer("Hi I am" ,						return_tensors="np"				).input_ids

							_snake_case       :					Optional[Any]				       =   shift_tokens_right(_lowercase ,						model.config.pad_token_id ,						model.config.decoder_start_token_id				)

							_snake_case       :					Tuple				       =   model(_lowercase ,						decoder_input_ids=_lowercase				).logits
							_snake_case       :					Tuple				       =   optax.softmax_cross_entropy(_lowercase ,						onehot(_lowercase ,						logits.shape[-1]				)				).mean()

							_snake_case       :					List[str]				       =   -(labels.shape[-1] * loss.item())

							_snake_case       :					Optional[int]				       =   -84.91_27
							self.assertTrue(abs(mtf_score - EXPECTED_SCORE				) < 1E-4				)






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from .config import config_command_parser
from .config_args import default_config_file, load_config_from_file  # noqa: F401
from .default import default_command_parser
from .update import update_command_parser







def    A				(							UpperCAmelCase=None				):
					_snake_case       :					Union[str, Any]				       =   argparse.ArgumentParser(add_help=UpperCAmelCase  ,  allow_abbrev=UpperCAmelCase				)
					# The main config parser
					_snake_case       :					Tuple				       =   config_command_parser(UpperCAmelCase				)
					# The subparser to add commands to
					_snake_case       :					Any				       =   config_parser.add_subparsers(title="subcommands"  ,  dest="subcommand"				)

					# Then add other parsers with the parent parser
					default_command_parser(UpperCAmelCase  ,  parents=[parent_parser]				)
					update_command_parser(UpperCAmelCase  ,  parents=[parent_parser]				)

					return config_parser







def    A				(							):
					_snake_case       :					str				       =   get_config_parser()
					_snake_case       :					Union[str, Any]				       =   config_parser.parse_args()

					if not hasattr(UpperCAmelCase  ,  "func"				):
										config_parser.print_help()
										exit(1				)

					# Run
					args.func(UpperCAmelCase				)


if __name__ == "__main__":
							main()