




'''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 io
import json
import subprocess


lowerCAmelCase_			:			Tuple			   =     [
    ['''en''', '''ru'''],
    ['''ru''', '''en'''],
    ['''en''', '''de'''],
    ['''de''', '''en'''],
]

lowerCAmelCase_			:			str			   =     8







def __A  (    lowerCAmelCase_ ,       lowerCAmelCase_       ):
     _UpperCAmelCase					:  Union[str, Any]         =    {}
     for src, tgt in pairs:
          _UpperCAmelCase					:  Union[str, Any]         =    f"{src}-{tgt}"
          _UpperCAmelCase					:  List[Any]         =    f"sacrebleu -t wmt19 -l {pair} --echo src".split()
          _UpperCAmelCase					:  List[str]         =    subprocess.run(lowerCAmelCase_ ,       stdout=subprocess.PIPE       ).stdout.decode("""utf-8"""       ).splitlines()
          _UpperCAmelCase					:  str         =    f"sacrebleu -t wmt19 -l {pair} --echo ref".split()
          _UpperCAmelCase					:  List[Any]         =    subprocess.run(lowerCAmelCase_ ,       stdout=subprocess.PIPE       ).stdout.decode("""utf-8"""       ).splitlines()
          _UpperCAmelCase					:  int         =    {"""src""": src_lines[:n_objs], """tgt""": tgt_lines[:n_objs]}
     return text


lowerCAmelCase_			:			Optional[int]			   =     get_all_data(pairs, n_objs)
lowerCAmelCase_			:			str			   =     '''./fsmt_val_data.json'''
with io.open(filename, '''w''', encoding='''utf-8''') as f:
   lowerCAmelCase_			:			Tuple			   =     json.dump(text, f, indent=2, ensure_ascii=False)


