






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


A__     :      int             =			{
    'configuration_marian': ['MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MarianConfig', 'MarianOnnxConfig'],
}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A__     :      Tuple             =			['MarianTokenizer']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A__     :      int             =			[
							    'MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'MarianForCausalLM',
							    'MarianModel',
							    'MarianMTModel',
							    'MarianPreTrainedModel',
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A__     :      List[Any]             =			['TFMarianModel', 'TFMarianMTModel', 'TFMarianPreTrainedModel']

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A__     :      Any             =			['FlaxMarianModel', 'FlaxMarianMTModel', 'FlaxMarianPreTrainedModel']

if TYPE_CHECKING:
							from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_marian import MarianTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_marian import (
														    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MarianForCausalLM,
														    MarianModel,
														    MarianMTModel,
														    MarianPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
							import sys

							A__     :      Optional[Any]             =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)












import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil






@pytest.fixture
def   a      (						lowerCamelCase_    ):






				'''simple docstring'''
				lowercase__       			=      tmp_path / '''text.txt'''
				lowercase__       			=      textwrap.dedent(
				    '''\
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

        Second paragraph:
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
        '''    )
				with open(lowerCamelCase_		,       '''w'''		,       encoding='''utf-8'''    ) as f:
								f.write(lowerCamelCase_    )
				return str(lowerCamelCase_    )






@pytest.fixture
def   a      (						lowerCamelCase_		,       lowerCamelCase_    ):






				'''simple docstring'''
				lowercase__       			=      tmp_path / '''text_with_image.txt'''
				with open(lowerCamelCase_		,       '''w'''		,       encoding='''utf-8'''    ) as f:
								f.write(lowerCamelCase_    )
				return str(lowerCamelCase_    )






@pytest.mark.parametrize('''keep_linebreaks'''		,       [True, False]    )
def   a      (						lowerCamelCase_		,       lowerCamelCase_    ):






				'''simple docstring'''
				with open(lowerCamelCase_		,       encoding='''utf-8'''    ) as f:
								lowercase__       			=      f.read().splitlines(keepends=lowerCamelCase_    )
				lowercase__       			=      Text(keep_linebreaks=lowerCamelCase_		,       encoding='''utf-8'''    )
				lowercase__       			=      text._generate_tables([[text_file]]    )
				lowercase__       			=      pa.concat_tables([table for _, table in generator]    ).to_pydict()['''text''']
				assert generated_content == expected_content






@require_pil
def   a      (						lowerCamelCase_    ):






				'''simple docstring'''
				with open(lowerCamelCase_		,       encoding='''utf-8'''    ) as f:
								lowercase__       			=      f.read().splitlines()[0]
				lowercase__       			=      Text(encoding='''utf-8'''		,       features=Features({'''image''': Image()}    )    )
				lowercase__       			=      text._generate_tables([[text_file_with_image]]    )
				lowercase__       			=      pa.concat_tables([table for _, table in generator]    )
				assert pa_table.schema.field('''image'''    ).type == Image()()
				lowercase__       			=      pa_table.to_pydict()['''image''']
				assert generated_content == [{"path": image_file, "bytes": None}]






@pytest.mark.parametrize('''sample_by'''		,       ['''line''', '''paragraph''', '''document''']    )
def   a      (						lowerCamelCase_		,       lowerCamelCase_    ):






				'''simple docstring'''
				with open(lowerCamelCase_		,       encoding='''utf-8'''    ) as f:
								lowercase__       			=      f.read()
				if sample_by == "line":
								lowercase__       			=      expected_content.splitlines()
				elif sample_by == "paragraph":
								lowercase__       			=      expected_content.split('''\n\n'''    )
				elif sample_by == "document":
								lowercase__       			=      [expected_content]
				lowercase__       			=      Text(sample_by=lowerCamelCase_		,       encoding='''utf-8'''		,       chunksize=100    )
				lowercase__       			=      text._generate_tables([[text_file]]    )
				lowercase__       			=      pa.concat_tables([table for _, table in generator]    ).to_pydict()['''text''']
				assert generated_content == expected_content




