



'''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 			_lowercase							(     lowerCamelCase_			):





	"""simple docstring"""




	def   UpperCamelCase_ (self	, lowerCamelCase_	, lowerCamelCase_=False	):
						"""simple docstring"""

						a        =     (
						    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(lowerCamelCase_	)	, "wb"	).close()
						a        =     pa.Table.from_pydict({"filename": [Path(lowerCamelCase_	).name] * 100}	)
						if take == -1:
											a        =     len(lowerCamelCase_	) - skip
						if skip is not None and take is not None:
											a        =     pa_table.slice(lowerCamelCase_	, lowerCamelCase_	)
						return pa_table




class 			_lowercase							(     lowerCamelCase_			):





	"""simple docstring"""




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						a        =     "my_name"
						a        =     SplitInfo(name="train"	, num_examples=100	)
						a        =     SplitInfo(name="test"	, num_examples=100	)
						a        =     [train_info, test_info]
						a        =     SplitDict()
						split_dict.add(lowerCamelCase_	)
						split_dict.add(lowerCamelCase_	)
						a        =     DatasetInfo(splits=lowerCamelCase_	)

						with tempfile.TemporaryDirectory() as tmp_dir:
											a        =     ReaderTest(lowerCamelCase_	, lowerCamelCase_	)

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

											a        =     ["train", "test[:33%]"]
											a        =     [Split.TRAIN, ReadInstruction.from_spec("test[:33%]"	)]
											for instructions in [instructionsa, instructionsa]:
																a        =     [reader.read(lowerCamelCase_	, lowerCamelCase_	, lowerCamelCase_	) for instr in instructions]
																a        =     (Dataset(**lowerCamelCase_	) 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	, lowerCamelCase_	)
																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	, lowerCamelCase_	)
																self.assertEqual(str(test_dset.split	)	, "test[:33%]"	)
																del train_dset, test_dset




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						a        =     "my_name"
						a        =     SplitInfo(name="train"	, num_examples=1000	, shard_lengths=[100] * 10	)
						a        =     [train_info]
						a        =     SplitDict()
						split_dict.add(lowerCamelCase_	)
						a        =     DatasetInfo(splits=lowerCamelCase_	)

						with tempfile.TemporaryDirectory() as tmp_dir:
											a        =     ReaderTest(lowerCamelCase_	, lowerCamelCase_	)

											a        =     "train[:33%]"
											a        =     Dataset(**reader.read(lowerCamelCase_	, lowerCamelCase_	, lowerCamelCase_	)	)
											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   UpperCamelCase_ (self	):
						"""simple docstring"""

						a        =     SplitInfo(name="train"	, num_examples=100	)
						a        =     SplitInfo(name="test"	, num_examples=100	)
						a        =     SplitDict()
						split_dict.add(lowerCamelCase_	)
						split_dict.add(lowerCamelCase_	)
						a        =     DatasetInfo(splits=lowerCamelCase_	)

						with tempfile.TemporaryDirectory() as tmp_dir:
											a        =     ReaderTest(lowerCamelCase_	, lowerCamelCase_	)

											a        =     [
											    {"filename": os.path.join(lowerCamelCase_	, "train"	)},
											    {"filename": os.path.join(lowerCamelCase_	, "test"	), "skip": 10, "take": 10},
											]
											a        =     Dataset(**reader.read_files(lowerCamelCase_	, 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 					a(   A :					Optional[Any]				,  A :					List[Any]				,  A :					Optional[int] )	-> Optional[Any]:
					"""simple docstring"""





					a        =     arrow_file
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										a        =     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 					a(   A :					List[str]				,  A :					str				,  A :					str )	-> Optional[int]:
					"""simple docstring"""





					a        =     arrow_file
					a        =     ArrowReader(""				,  lowercase__ )
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										a        =     reader.read_files([{"filename": filename}]				,  in_memory=lowercase__ )
					assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
					a        =     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 					a(   )	-> Any:
					"""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%]"

					a        =     "train+test"
					assert ReadInstruction.from_spec(lowercase__ ).to_spec() == spec_train_test

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

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

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

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

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






def 					a(   )	-> Union[str, Any]:
					"""simple docstring"""





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

					a        =     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}
					]

					a        =     [SplitInfo(name="train"				,  num_examples=100				,  shard_lengths=[10] * 10 )]
					a        =     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 					a(   A :					Any				,  A :					List[Any] )	-> List[str]:
					"""simple docstring"""





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





def 					a(   A :					Optional[Any]				,  A :					List[str] )	-> List[Any]:
					"""simple docstring"""





					print("\nVertex Distance" )
					for i in range(A ):
										if dist[i] != float("inf" ):
															print(A				,  "\t"				,  int(dist[i] )				,  end="\t" )
										else:
															print(A				,  "\t"				,  "INF"				,  end="\t" )
										print()






def 					a(   A :					str				,  A :					int				,  A :					int )	-> Optional[int]:
					"""simple docstring"""





					a        =     float("inf" )
					a        =     -1
					for i in range(A ):
										if (not vset[i]) and mdist[i] < min_val:
															a        =     i
															a        =     mdist[i]
					return min_ind






def 					a(   A :					List[str]				,  A :					Union[str, Any]				,  A :					Dict )	-> Tuple:
					"""simple docstring"""





					a        =     [float("inf" ) for _ in range(A )]
					a        =     [False for _ in range(A )]
					a        =     0.0

					for _ in range(v - 1 ):
										a        =     min_dist(A				,  A				,  A )
										a        =     True

										for i in range(A ):
															if (
															    (not vset[i])
															    and graph[u][i] != float("inf" )
															    and mdist[u] + graph[u][i] < mdist[i]
															):
																				a        =     mdist[u] + graph[u][i]

					print_dist(A				,  A )


if __name__ == "__main__":
				_lowercase:				Any       =	int(input("Enter number of vertices: ").strip())
				_lowercase:				Optional[Any]       =	int(input("Enter number of edges: ").strip())

				_lowercase:				List[str]       =	[[float("inf") for i in range(V)] for j in range(V)]

				for i in range(V):
								_lowercase:				List[Any]       =	0.0

				for i in range(E):
								print("\nEdge ", i + 1)
								_lowercase:				Tuple       =	int(input("Enter source:").strip())
								_lowercase:				Tuple       =	int(input("Enter destination:").strip())
								_lowercase:				int       =	float(input("Enter weight:").strip())
								_lowercase:				str       =	weight

				_lowercase:				Union[str, Any]       =	int(input("\nEnter shortest path source:").strip())
				dijkstra(graph, V, gsrc)
