

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		( _UpperCamelCase      ):



 '''simple docstring'''


 def 						UpperCamelCase__							(self , __a , __a=False				)				->      Optional[int]:






  """simple docstring"""





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







class 					lowercase		( _UpperCamelCase      ):



 '''simple docstring'''


 def 						UpperCamelCase__							(self				)				->      Optional[int]:






  """simple docstring"""





  UpperCAmelCase__           =       'my_name'
  UpperCAmelCase__           =       SplitInfo(name='train' , num_examples=100				)
  UpperCAmelCase__           =       SplitInfo(name='test' , num_examples=100				)
  UpperCAmelCase__           =       [train_info, test_info]
  UpperCAmelCase__           =       SplitDict()
  split_dict.add(__a				)
  split_dict.add(__a				)
  UpperCAmelCase__           =       DatasetInfo(splits=__a				)

  with tempfile.TemporaryDirectory() as tmp_dir:
   UpperCAmelCase__           =       ReaderTest(__a , __a				)

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

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




 def 						UpperCamelCase__							(self				)				->      Dict:






  """simple docstring"""





  UpperCAmelCase__           =       'my_name'
  UpperCAmelCase__           =       SplitInfo(name='train' , num_examples=1000 , shard_lengths=[100] * 10				)
  UpperCAmelCase__           =       [train_info]
  UpperCAmelCase__           =       SplitDict()
  split_dict.add(__a				)
  UpperCAmelCase__           =       DatasetInfo(splits=__a				)

  with tempfile.TemporaryDirectory() as tmp_dir:
   UpperCAmelCase__           =       ReaderTest(__a , __a				)

   UpperCAmelCase__           =       'train[:33%]'
   UpperCAmelCase__           =       Dataset(**reader.read(__a , __a , __a				)				)
   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				)				->      str:






  """simple docstring"""





  UpperCAmelCase__           =       SplitInfo(name='train' , num_examples=100				)
  UpperCAmelCase__           =       SplitInfo(name='test' , num_examples=100				)
  UpperCAmelCase__           =       SplitDict()
  split_dict.add(__a				)
  split_dict.add(__a				)
  UpperCAmelCase__           =       DatasetInfo(splits=__a				)

  with tempfile.TemporaryDirectory() as tmp_dir:
   UpperCAmelCase__           =       ReaderTest(__a , __a				)

   UpperCAmelCase__           =       [
       {'filename': os.path.join(__a , 'train'				)},
       {'filename': os.path.join(__a , 'test'				), 'skip': 10, 'take': 10},
   ]
   UpperCAmelCase__           =       Dataset(**reader.read_files(__a , 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 		UpperCamelCase_(    snake_case__:						Tuple						,					snake_case__:						Optional[int]						,					snake_case__:						Dict     ) ->				List[str]:
 UpperCAmelCase__           =       arrow_file
 with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  UpperCAmelCase__           =       ArrowReader.read_table(snake_case__						,					in_memory=snake_case__     )
 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 		UpperCamelCase_(    snake_case__:						List[str]						,					snake_case__:						List[Any]						,					snake_case__:						Optional[int]     ) ->				Any:
 UpperCAmelCase__           =       arrow_file
 UpperCAmelCase__           =       ArrowReader(''						,					snake_case__     )
 with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  UpperCAmelCase__           =       reader.read_files([{'filename': filename}]						,					in_memory=snake_case__     )
 assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
 UpperCAmelCase__           =       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 		UpperCamelCase_(    ) ->				List[Any]:
 assert ReadInstruction('train'						,					to=10						,					unit='abs'     ).to_spec() == "train[:10]"
 assert ReadInstruction('train'						,					from_=-80						,					to=10						,					unit='%'     ).to_spec() == "train[-80%:10%]"

 UpperCAmelCase__           =       'train+test'
 assert ReadInstruction.from_spec(snake_case__     ).to_spec() == spec_train_test

 UpperCAmelCase__           =       'train[2:10]'
 assert ReadInstruction.from_spec(snake_case__     ).to_spec() == spec_train_abs

 UpperCAmelCase__           =       'train[15%:-20%]'
 assert ReadInstruction.from_spec(snake_case__     ).to_spec() == spec_train_pct

 UpperCAmelCase__           =       'train[:10%](closest)'
 assert ReadInstruction.from_spec(snake_case__     ).to_spec() == "train[:10%]"

 UpperCAmelCase__           =       'train[:10%](pct1_dropremainder)'
 assert ReadInstruction.from_spec(snake_case__     ).to_spec() == spec_train_pct_rounding

 UpperCAmelCase__           =       'train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'
 assert ReadInstruction.from_spec(snake_case__     ).to_spec() == spec_train_test_pct_rounding
def 		UpperCamelCase_(    ) ->				Any:
 UpperCAmelCase__           =       'dummy'
 UpperCAmelCase__           =       [SplitInfo(name='train'						,					num_examples=1_00     )]
 UpperCAmelCase__           =       'train[:33%]'
 UpperCAmelCase__           =       'arrow'
 UpperCAmelCase__           =       'prefix'

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

 UpperCAmelCase__           =       [SplitInfo(name='train'						,					num_examples=1_00						,					shard_lengths=[10] * 10     )]
 UpperCAmelCase__           =       make_file_instructions(snake_case__						,					snake_case__						,					snake_case__						,					snake_case__						,					snake_case__     )
 assert isinstance(snake_case__						,					snake_case__     )
 assert file_instructions.num_examples == 33
 assert file_instructions.file_instructions == [
     {"filename": os.path.join(snake_case__						,					f"{name}-train-00000-of-00010.arrow"     ), "skip": 0, "take": -1},
     {"filename": os.path.join(snake_case__						,					f"{name}-train-00001-of-00010.arrow"     ), "skip": 0, "take": -1},
     {"filename": os.path.join(snake_case__						,					f"{name}-train-00002-of-00010.arrow"     ), "skip": 0, "take": -1},
     {"filename": os.path.join(snake_case__						,					f"{name}-train-00003-of-00010.arrow"     ), "skip": 0, "take": 3},
 ]







@pytest.mark.parametrize('name, expected_exception'						,					[(None, TypeError), ('', ValueError)]     )
def 		UpperCamelCase_(    snake_case__:						Optional[int]						,					snake_case__:						Union[str, Any]     ) ->				List[Any]:
 UpperCAmelCase__           =       [SplitInfo(name='train'						,					num_examples=1_00     )]
 UpperCAmelCase__           =       'train'
 UpperCAmelCase__           =       'arrow'
 UpperCAmelCase__           =       'prefix_path'
 with pytest.raises(snake_case__     ):
  UpperCAmelCase__           =       make_file_instructions(snake_case__						,					snake_case__						,					snake_case__						,					snake_case__						,					snake_case__     )






from __future__ import annotations



class 					lowercase		:



 '''simple docstring'''


 def __init__(self , __a				)				->      None:






  """simple docstring"""





  UpperCAmelCase__           =       vertices
  UpperCAmelCase__           =       [[0] * vertices for _ in range(__a				)]




 def 						UpperCamelCase__							(self , __a				)				->      None:






  """simple docstring"""





  print('Vertex \t Distance from Source'				)
  for vertex in range(self.vertices				):
   print(__a , '\t\t' , distances_from_source[vertex]				)




 def 						UpperCamelCase__							(self , __a , __a				)				->      int:






  """simple docstring"""





  UpperCAmelCase__           =       1E7
  UpperCAmelCase__           =       0

  # Search not nearest vertex not in the shortest path tree
  for vertex in range(self.vertices				):
   if distances_from_source[vertex] < minimum and visited[vertex] is False:
    UpperCAmelCase__           =       distances_from_source[vertex]
    UpperCAmelCase__           =       vertex
  return min_index




 def 						UpperCamelCase__							(self , __a				)				->      None:






  """simple docstring"""





  UpperCAmelCase__           =       [int(1E7				)] * self.vertices  # distances from the source
  UpperCAmelCase__           =       0
  UpperCAmelCase__           =       [False] * self.vertices

  for _ in range(self.vertices				):
   UpperCAmelCase__           =       self.minimum_distance(__a , __a				)
   UpperCAmelCase__           =       True

   # Update dist value of the adjacent vertices
   # of the picked vertex only if the current
   # distance is greater than new distance and
   # the vertex in not in the shortest path tree
   for v in range(self.vertices				):
    if (
        self.graph[u][v] > 0
        and visited[v] is False
        and distances[v] > distances[u] + self.graph[u][v]
    ):
     UpperCAmelCase__           =       distances[u] + self.graph[u][v]

  self.print_solution(__a				)


if __name__ == "__main__":
 _UpperCamelCase     =    Graph(9)
 _UpperCamelCase     =    [
     [0, 4, 0, 0, 0, 0, 0, 8, 0],
     [4, 0, 8, 0, 0, 0, 0, 11, 0],
     [0, 8, 0, 7, 0, 4, 0, 0, 2],
     [0, 0, 7, 0, 9, 14, 0, 0, 0],
     [0, 0, 0, 9, 0, 10, 0, 0, 0],
     [0, 0, 4, 14, 10, 0, 2, 0, 0],
     [0, 0, 0, 0, 0, 2, 0, 1, 6],
     [8, 11, 0, 0, 0, 0, 1, 0, 7],
     [0, 0, 2, 0, 0, 0, 6, 7, 0],
 ]
 graph.dijkstra(0)



