




'''simple docstring'''







import os
import tempfile
from pathlib import Path
from unittest import TestCase

import pyarrow as pa
import pytest

from datasets.arrow_dataset import Dataset
from datasets.arrow_reader import ArrowReader, BaseReader, FileInstructions, ReadInstruction, make_file_instructions
from datasets.info import DatasetInfo
from datasets.splits import NamedSplit, Split, SplitDict, SplitInfo

from .utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases





class 	lowerCamelCase_				(			UpperCAmelCase_				):




					'''simple docstring'''






					def 							__SCREAMING_SNAKE_CASE      (       self,    __UpperCamelCase,    __UpperCamelCase=False					):
							_snake_case			,       _snake_case			,       _snake_case      			=			(
							    filename_skip_take["filename"],
							    filename_skip_take["skip"] if "skip" in filename_skip_take else None,
							    filename_skip_take["take"] if "take" in filename_skip_take else None,
							)
							open(os.path.join(__UpperCamelCase					),    "wb"					).close()
							_snake_case      			=			pa.Table.from_pydict({"filename": [Path(__UpperCamelCase					).name] * 100}					)
							if take == -1:
									_snake_case      			=			len(__UpperCamelCase					) - skip
							if skip is not None and take is not None:
									_snake_case      			=			pa_table.slice(__UpperCamelCase,    __UpperCamelCase					)
							return pa_table





class 	lowerCamelCase_				(			UpperCAmelCase_				):




					'''simple docstring'''






					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			"my_name"
							_snake_case      			=			SplitInfo(name="train",    num_examples=100					)
							_snake_case      			=			SplitInfo(name="test",    num_examples=100					)
							_snake_case      			=			[train_info, test_info]
							_snake_case      			=			SplitDict()
							split_dict.add(__UpperCamelCase					)
							split_dict.add(__UpperCamelCase					)
							_snake_case      			=			DatasetInfo(splits=__UpperCamelCase					)

							with tempfile.TemporaryDirectory() as tmp_dir:
									_snake_case      			=			ReaderTest(__UpperCamelCase,    __UpperCamelCase					)

									_snake_case      			=			"test[:33%]"
									_snake_case      			=			Dataset(**reader.read(__UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase					)					)
									self.assertEqual(dset["filename"][0],    f'''{name}-test'''					)
									self.assertEqual(dset.num_rows,    33					)
									self.assertEqual(dset.num_columns,    1					)

									_snake_case      			=			["train", "test[:33%]"]
									_snake_case      			=			[Split.TRAIN, ReadInstruction.from_spec("test[:33%]"					)]
									for instructions in [instructionsa, instructionsa]:
											_snake_case      			=			[reader.read(__UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase					) for instr in instructions]
											_snake_case			,       _snake_case      			=			(Dataset(**__UpperCamelCase					) for dataset_kwargs in datasets_kwargs)
											self.assertEqual(train_dset["filename"][0],    f'''{name}-train'''					)
											self.assertEqual(train_dset.num_rows,    100					)
											self.assertEqual(train_dset.num_columns,    1					)
											self.assertIsInstance(train_dset.split,    __UpperCamelCase					)
											self.assertEqual(str(train_dset.split					),    "train"					)
											self.assertEqual(test_dset["filename"][0],    f'''{name}-test'''					)
											self.assertEqual(test_dset.num_rows,    33					)
											self.assertEqual(test_dset.num_columns,    1					)
											self.assertIsInstance(test_dset.split,    __UpperCamelCase					)
											self.assertEqual(str(test_dset.split					),    "test[:33%]"					)
											del train_dset, test_dset






					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			"my_name"
							_snake_case      			=			SplitInfo(name="train",    num_examples=1_000,    shard_lengths=[100] * 10					)
							_snake_case      			=			[train_info]
							_snake_case      			=			SplitDict()
							split_dict.add(__UpperCamelCase					)
							_snake_case      			=			DatasetInfo(splits=__UpperCamelCase					)

							with tempfile.TemporaryDirectory() as tmp_dir:
									_snake_case      			=			ReaderTest(__UpperCamelCase,    __UpperCamelCase					)

									_snake_case      			=			"train[:33%]"
									_snake_case      			=			Dataset(**reader.read(__UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase					)					)
									self.assertEqual(dset["filename"][0],    f'''{name}-train-00000-of-00010'''					)
									self.assertEqual(dset["filename"][-1],    f'''{name}-train-00003-of-00010'''					)
									self.assertEqual(dset.num_rows,    330					)
									self.assertEqual(dset.num_columns,    1					)






					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			SplitInfo(name="train",    num_examples=100					)
							_snake_case      			=			SplitInfo(name="test",    num_examples=100					)
							_snake_case      			=			SplitDict()
							split_dict.add(__UpperCamelCase					)
							split_dict.add(__UpperCamelCase					)
							_snake_case      			=			DatasetInfo(splits=__UpperCamelCase					)

							with tempfile.TemporaryDirectory() as tmp_dir:
									_snake_case      			=			ReaderTest(__UpperCamelCase,    __UpperCamelCase					)

									_snake_case      			=			[
									    {"filename": os.path.join(__UpperCamelCase,    "train"					)},
									    {"filename": os.path.join(__UpperCamelCase,    "test"					), "skip": 10, "take": 10},
									]
									_snake_case      			=			Dataset(**reader.read_files(__UpperCamelCase,    original_instructions="train+test[10:20]"					)					)
									self.assertEqual(dset.num_rows,    110					)
									self.assertEqual(dset.num_columns,    1					)
									del dset






@pytest.mark.parametrize("in_memory"		,				[False, True]    )
def 						_lowercase						(      lowercase_		,				lowercase_		,				lowercase_    ):



		'''simple docstring'''







		_snake_case      			=			arrow_file
		with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
				_snake_case      			=			ArrowReader.read_table(lowercase_		,				in_memory=lowercase_    )
		assert table.shape == dataset.data.shape
		assert set(table.column_names    ) == set(dataset.data.column_names    )
		assert dict(table.to_pydict()    ) == dict(dataset.data.to_pydict()    )  # to_pydict returns OrderedDict






@pytest.mark.parametrize("in_memory"		,				[False, True]    )
def 						_lowercase						(      lowercase_		,				lowercase_		,				lowercase_    ):



		'''simple docstring'''







		_snake_case      			=			arrow_file
		_snake_case      			=			ArrowReader(""		,				lowercase_    )
		with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
				_snake_case      			=			reader.read_files([{"filename": filename}]		,				in_memory=lowercase_    )
		assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
		_snake_case      			=			dataset_kwargs["arrow_table"]
		assert table.shape == dataset.data.shape
		assert set(table.column_names    ) == set(dataset.data.column_names    )
		assert dict(table.to_pydict()    ) == dict(dataset.data.to_pydict()    )  # to_pydict returns OrderedDict






def 						_lowercase						(      ):



		'''simple docstring'''







		assert ReadInstruction("train"		,				to=10		,				unit="abs"    ).to_spec() == "train[:10]"
		assert ReadInstruction("train"		,				from_=-80		,				to=10		,				unit="%"    ).to_spec() == "train[-80%:10%]"

		_snake_case      			=			"train+test"
		assert ReadInstruction.from_spec(lowercase_    ).to_spec() == spec_train_test

		_snake_case      			=			"train[2:10]"
		assert ReadInstruction.from_spec(lowercase_    ).to_spec() == spec_train_abs

		_snake_case      			=			"train[15%:-20%]"
		assert ReadInstruction.from_spec(lowercase_    ).to_spec() == spec_train_pct

		_snake_case      			=			"train[:10%](closest)"
		assert ReadInstruction.from_spec(lowercase_    ).to_spec() == "train[:10%]"

		_snake_case      			=			"train[:10%](pct1_dropremainder)"
		assert ReadInstruction.from_spec(lowercase_    ).to_spec() == spec_train_pct_rounding

		_snake_case      			=			"train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)"
		assert ReadInstruction.from_spec(lowercase_    ).to_spec() == spec_train_test_pct_rounding






def 						_lowercase						(      ):



		'''simple docstring'''







		_snake_case      			=			"dummy"
		_snake_case      			=			[SplitInfo(name="train"		,				num_examples=100    )]
		_snake_case      			=			"train[:33%]"
		_snake_case      			=			"arrow"
		_snake_case      			=			"prefix"

		_snake_case      			=			make_file_instructions(lowercase_		,				lowercase_		,				lowercase_		,				lowercase_		,				lowercase_    )
		assert isinstance(lowercase_		,				lowercase_    )
		assert file_instructions.num_examples == 33
		assert file_instructions.file_instructions == [
		    {"filename": os.path.join(lowercase_		,				f'''{name}-train.arrow'''    ), "skip": 0, "take": 33}
		]

		_snake_case      			=			[SplitInfo(name="train"		,				num_examples=100		,				shard_lengths=[10] * 10    )]
		_snake_case      			=			make_file_instructions(lowercase_		,				lowercase_		,				lowercase_		,				lowercase_		,				lowercase_    )
		assert isinstance(lowercase_		,				lowercase_    )
		assert file_instructions.num_examples == 33
		assert file_instructions.file_instructions == [
		    {"filename": os.path.join(lowercase_		,				f'''{name}-train-00000-of-00010.arrow'''    ), "skip": 0, "take": -1},
		    {"filename": os.path.join(lowercase_		,				f'''{name}-train-00001-of-00010.arrow'''    ), "skip": 0, "take": -1},
		    {"filename": os.path.join(lowercase_		,				f'''{name}-train-00002-of-00010.arrow'''    ), "skip": 0, "take": -1},
		    {"filename": os.path.join(lowercase_		,				f'''{name}-train-00003-of-00010.arrow'''    ), "skip": 0, "take": 3},
		]






@pytest.mark.parametrize("name, expected_exception"		,				[(None, TypeError), ("", ValueError)]    )
def 						_lowercase						(      lowercase_		,				lowercase_    ):



		'''simple docstring'''







		_snake_case      			=			[SplitInfo(name="train"		,				num_examples=100    )]
		_snake_case      			=			"train"
		_snake_case      			=			"arrow"
		_snake_case      			=			"prefix_path"
		with pytest.raises(lowercase_    ):
				_snake_case      			=			make_file_instructions(lowercase_		,				lowercase_		,				lowercase_		,				lowercase_		,				lowercase_    )











'''simple docstring'''







import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
_lowerCamelCase				:		str				      =    'src/transformers'

# Matches is_xxx_available()
_lowerCamelCase				:		str				      =    re.compile(R'is\_([a-z_]*)_available()')
# Matches from xxx import bla
_lowerCamelCase				:		Union[str, Any]				      =    re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
_lowerCamelCase				:		Dict				      =    re.compile(R'^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)')


_lowerCamelCase				:		int				      =    '\n{0} = None\n'

_lowerCamelCase				:		List[Any]				      =    '\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'


_lowerCamelCase				:		Any				      =    '\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'






def 						_lowercase						(      lowercase_    ):



		'''simple docstring'''







		if _re_test_backend.search(lowercase_    ) is None:
				return None
		_snake_case      			=			[b[0] for b in _re_backend.findall(lowercase_    )]
		backends.sort()
		return "_and_".join(lowercase_    )






def 						_lowercase						(      ):



		'''simple docstring'''







		with open(os.path.join(lowercase_		,				"__init__.py"    )		,				"r"		,				encoding="utf-8"		,				newline="\n"    ) as f:
				_snake_case      			=			f.readlines()

		# Get to the point we do the actual imports for type checking
		_snake_case      			=			0
		while not lines[line_index].startswith("if TYPE_CHECKING"    ):
				line_index += 1

		_snake_case      			=			{}
		# Go through the end of the file
		while line_index < len(lowercase_    ):
				# If the line is an if is_backend_available, we grab all objects associated.
				_snake_case      			=			find_backend(lines[line_index]    )
				if backend is not None:
						while not lines[line_index].startswith("    else:"    ):
								line_index += 1
						line_index += 1

						_snake_case      			=			[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index]    ) <= 1 or lines[line_index].startswith(" " * 8    ):
								_snake_case      			=			lines[line_index]
								_snake_case      			=			_re_single_line_import.search(lowercase_    )
								if single_line_import_search is not None:
										objects.extend(single_line_import_search.groups()[0].split(", "    )    )
								elif line.startswith(" " * 12    ):
										objects.append(line[12:-2]    )
								line_index += 1

						_snake_case      			=			objects
				else:
						line_index += 1

		return backend_specific_objects






def 						_lowercase						(      lowercase_		,				lowercase_    ):



		'''simple docstring'''







		if name.isupper():
				return DUMMY_CONSTANT.format(lowercase_    )
		elif name.islower():
				return DUMMY_FUNCTION.format(lowercase_		,				lowercase_    )
		else:
				return DUMMY_CLASS.format(lowercase_		,				lowercase_    )






def 						_lowercase						(      lowercase_=None    ):



		'''simple docstring'''







		if backend_specific_objects is None:
				_snake_case      			=			read_init()
		# For special correspondence backend to module name as used in the function requires_modulename
		_snake_case      			=			{}

		for backend, objects in backend_specific_objects.items():
				_snake_case      			=			"[" + ", ".join(f'''"{b}"''' for b in backend.split("_and_"    )    ) + "]"
				_snake_case      			=			"# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
				dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
				dummy_file += "\n".join([create_dummy_object(lowercase_		,				lowercase_    ) for o in objects]    )
				_snake_case      			=			dummy_file

		return dummy_files






def 						_lowercase						(      lowercase_=False    ):



		'''simple docstring'''







		_snake_case      			=			create_dummy_files()
		# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
		_snake_case      			=			{"torch": "pt"}

		# Locate actual dummy modules and read their content.
		_snake_case      			=			os.path.join(lowercase_		,				"utils"    )
		_snake_case      			=			{
		    backend: os.path.join(lowercase_		,				f'''dummy_{short_names.get(lowercase_		,				lowercase_    )}_objects.py'''    )
		    for backend in dummy_files.keys()
		}

		_snake_case      			=			{}
		for backend, file_path in dummy_file_paths.items():
				if os.path.isfile(lowercase_    ):
						with open(lowercase_		,				"r"		,				encoding="utf-8"		,				newline="\n"    ) as f:
								_snake_case      			=			f.read()
				else:
						_snake_case      			=			""

		for backend in dummy_files.keys():
				if dummy_files[backend] != actual_dummies[backend]:
						if overwrite:
								print(
								    f'''Updating transformers.utils.dummy_{short_names.get(lowercase_		,				lowercase_    )}_objects.py as the main '''
								    "__init__ has new objects."    )
								with open(dummy_file_paths[backend]		,				"w"		,				encoding="utf-8"		,				newline="\n"    ) as f:
										f.write(dummy_files[backend]    )
						else:
								raise ValueError(
								    "The main __init__ has objects that are not present in "
								    f'''transformers.utils.dummy_{short_names.get(lowercase_		,				lowercase_    )}_objects.py. Run `make fix-copies` '''
								    "to fix this."    )


if __name__ == "__main__":
						_lowerCamelCase				:		int				      =    argparse.ArgumentParser()
						parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
						_lowerCamelCase				:		List[Any]				      =    parser.parse_args()

						check_dummies(args.fix_and_overwrite)





