
"""simple docstring"""






import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json






@pytest.fixture
def 		_snake_case			(      lowercase__						:    List[str]						)    ->							List[Any]:


			'''simple docstring'''





			lowerCAmelCase_       :Optional[int]     	=    tmp_path / """file.jsonl"""
			lowerCAmelCase_       :Union[str, Any]     	=    textwrap.dedent(
			    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """						)
			with open(lowercase__ ,	"""w"""						) as f:
						f.write(lowercase__						)
			return str(lowercase__						)






@pytest.fixture
def 		_snake_case			(      lowercase__						:    str						)    ->							Dict:


			'''simple docstring'''





			lowerCAmelCase_       :Optional[int]     	=    tmp_path / """file_utf16_encoded.jsonl"""
			lowerCAmelCase_       :str     	=    textwrap.dedent(
			    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """						)
			with open(lowercase__ ,	"""w""" ,	encoding="""utf-16"""						) as f:
						f.write(lowercase__						)
			return str(lowercase__						)






@pytest.fixture
def 		_snake_case			(      lowercase__						:    Optional[Any]						)    ->							List[str]:


			'''simple docstring'''





			lowerCAmelCase_       :Optional[Any]     	=    tmp_path / """file_with_list_of_dicts.json"""
			lowerCAmelCase_       :Tuple     	=    textwrap.dedent(
			    """\
        [
            {\"col_1\": -1},
            {\"col_1\": 1, \"col_2\": 2},
            {\"col_1\": 10, \"col_2\": 20}
        ]
        """						)
			with open(lowercase__ ,	"""w"""						) as f:
						f.write(lowercase__						)
			return str(lowercase__						)






@pytest.fixture
def 		_snake_case			(      lowercase__						:    Dict						)    ->							Optional[int]:


			'''simple docstring'''





			lowerCAmelCase_       :Tuple     	=    tmp_path / """file_with_list_of_dicts_field.json"""
			lowerCAmelCase_       :Optional[int]     	=    textwrap.dedent(
			    """\
        {
            \"field1\": 1,
            \"field2\": \"aabb\",
            \"field3\": [
                {\"col_1\": -1},
                {\"col_1\": 1, \"col_2\": 2},
                {\"col_1\": 10, \"col_2\": 20}
            ]
        }
        """						)
			with open(lowercase__ ,	"""w"""						) as f:
						f.write(lowercase__						)
			return str(lowercase__						)






@pytest.mark.parametrize(
    """file_fixture, config_kwargs""" ,	[
        ("""jsonl_file""", {}),
        ("""jsonl_file_utf16_encoded""", {"""encoding""": """utf-16"""}),
        ("""json_file_with_list_of_dicts""", {}),
        ("""json_file_with_list_of_dicts_field""", {"""field""": """field3"""}),
    ] ,	)
def 		_snake_case			(      lowercase__						:    Optional[Any] ,	lowercase__						:    Any ,	lowercase__						:    List[Any]						)    ->							Optional[Any]:


			'''simple docstring'''





			lowerCAmelCase_       :List[str]     	=    Json(**lowercase__						)
			lowerCAmelCase_       :str     	=    json._generate_tables([[request.getfixturevalue(lowercase__						)]]						)
			lowerCAmelCase_       :Optional[Any]     	=    pa.concat_tables([table for _, table in generator]						)
			assert pa_table.to_pydict() == {"col_1": [-1, 1, 1_0], "col_2": [None, 2, 2_0]}






@pytest.mark.parametrize(
    """file_fixture, config_kwargs""" ,	[
        (
            """jsonl_file""",
            {"""features""": Features({"""col_1""": Value("""int64"""						), """col_2""": Value("""int64"""						), """missing_col""": Value("""string"""						)}						)},
        ),
        (
            """json_file_with_list_of_dicts""",
            {"""features""": Features({"""col_1""": Value("""int64"""						), """col_2""": Value("""int64"""						), """missing_col""": Value("""string"""						)}						)},
        ),
        (
            """json_file_with_list_of_dicts_field""",
            {
                """field""": """field3""",
                """features""": Features(
                    {"""col_1""": Value("""int64"""						), """col_2""": Value("""int64"""						), """missing_col""": Value("""string"""						)}						),
            },
        ),
    ] ,	)
def 		_snake_case			(      lowercase__						:    str ,	lowercase__						:    Dict ,	lowercase__						:    int						)    ->							List[str]:


			'''simple docstring'''





			lowerCAmelCase_       :List[Any]     	=    Json(**lowercase__						)
			lowerCAmelCase_       :str     	=    json._generate_tables([[request.getfixturevalue(lowercase__						)]]						)
			lowerCAmelCase_       :Dict     	=    pa.concat_tables([table for _, table in generator]						)
			assert pa_table.to_pydict() == {"col_1": [-1, 1, 1_0], "col_2": [None, 2, 2_0], "missing_col": [None, None, None]}








"""simple docstring"""






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,
)


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

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

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

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

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__UpperCAmelCase 					=    ['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

				__UpperCAmelCase 					=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






