"""simple docstring"""







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  UpperCamelCase	(    unittest.TestCase						):
   @slow
   def     _UpperCAmelCase     (    self    )			->   List[str]:


          '''simple docstring'''


          lowercase_			:       Union[str, Any]									=			FlaxMTaForConditionalGeneration.from_pretrained('google/mt5-small'    )
          lowercase_			:       List[str]									=			AutoTokenizer.from_pretrained('google/mt5-small'    )

          lowercase_			:       List[str]									=			tokenizer('Hello there'  ,return_tensors='np'    ).input_ids
          lowercase_			:       int									=			tokenizer('Hi I am'  ,return_tensors='np'    ).input_ids

          lowercase_			:       List[str]									=			shift_tokens_right(__UpperCamelCase  ,model.config.pad_token_id  ,model.config.decoder_start_token_id    )

          lowercase_			:       str									=			model(__UpperCamelCase  ,decoder_input_ids=__UpperCamelCase    ).logits
          lowercase_			:       str									=			optax.softmax_cross_entropy(__UpperCamelCase  ,onehot(__UpperCamelCase  ,logits.shape[-1]    )    ).mean()

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

          lowercase_			:       Optional[int]									=			-84.9127
          self.assertTrue(abs(mtf_score - EXPECTED_SCORE    ) < 1e-4    )


"""simple docstring"""







# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

__SCREAMING_SNAKE_CASE								="2.13.1"

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse("3.7"):
       raise ImportWarning(
           "To use `datasets`, Python>=3.7 is required, and the current version of Python doesn't match this condition."
       )

if version.parse(pyarrow.__version__).major < 8:
       raise ImportWarning(
           "To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn't match this condition.\n"
           "If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`."
       )

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

__SCREAMING_SNAKE_CASE								=concatenate_datasets
__SCREAMING_SNAKE_CASE								=DownloadConfig
__SCREAMING_SNAKE_CASE								=DownloadManager
__SCREAMING_SNAKE_CASE								=DownloadMode
__SCREAMING_SNAKE_CASE								=DownloadConfig
__SCREAMING_SNAKE_CASE								=DownloadMode
__SCREAMING_SNAKE_CASE								=DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager

