




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     snake_case  (	_snake_case							):


   '''simple docstring'''







   def 	UpperCAmelCase       (					self     :	Optional[int]						,    lowerCamelCase_     :	Dict						,    lowerCamelCase_     :	str=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(lowerCamelCase_			)						,    """wb"""			).close()
     UpperCAmelCase__    						=   pa.Table.from_pydict({"""filename""": [Path(lowerCamelCase_			).name] * 100}			)
     if take == -1:
       UpperCAmelCase__    						=   len(lowerCamelCase_			) - skip
     if skip is not None and take is not None:
       UpperCAmelCase__    						=   pa_table.slice(lowerCamelCase_						,    lowerCamelCase_			)
     return pa_table





class     snake_case  (	_snake_case							):


   '''simple docstring'''







   def 	UpperCAmelCase       (					self     :	Dict			)					->Optional[Any]:
     '''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(lowerCamelCase_			)
     split_dict.add(lowerCamelCase_			)
     UpperCAmelCase__    						=   DatasetInfo(splits=lowerCamelCase_			)

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

       UpperCAmelCase__    						=   """test[:33%]"""
       UpperCAmelCase__    						=   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			)

       UpperCAmelCase__    						=   ["""train""", """test[:33%]"""]
       UpperCAmelCase__    						=   [Split.TRAIN, ReadInstruction.from_spec("""test[:33%]"""			)]
       for instructions in [instructionsa, instructionsa]:
         UpperCAmelCase__    						=   [reader.read(lowerCamelCase_						,    lowerCamelCase_						,    lowerCamelCase_			) for instr in instructions]
         UpperCAmelCase__						,					UpperCAmelCase__    						=   (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     :	List[str]			)					->List[str]:
     '''simple docstring'''







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

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

       UpperCAmelCase__    						=   """train[:33%]"""
       UpperCAmelCase__    						=   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     :	Optional[int]			)					->str:
     '''simple docstring'''







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

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

       UpperCAmelCase__    						=   [
           {"""filename""": os.path.join(lowerCamelCase_						,    """train"""			)},
           {"""filename""": os.path.join(lowerCamelCase_						,    """test"""			), """skip""": 10, """take""": 10},
       ]
       UpperCAmelCase__    						=   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 						lowercase		(     _lowerCAmelCase   ,     _lowerCAmelCase   ,     _lowerCAmelCase      ):
  UpperCAmelCase__    						=   arrow_file
  with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
    UpperCAmelCase__    						=   ArrowReader.read_table(_lowerCAmelCase   ,     in_memory=_lowerCAmelCase      )
  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		(     _lowerCAmelCase   ,     _lowerCAmelCase   ,     _lowerCAmelCase      ):
  UpperCAmelCase__    						=   arrow_file
  UpperCAmelCase__    						=   ArrowReader(""""""   ,     _lowerCAmelCase      )
  with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
    UpperCAmelCase__    						=   reader.read_files([{"""filename""": filename}]   ,     in_memory=_lowerCAmelCase      )
  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 						lowercase		(     ):
  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(_lowerCAmelCase      ).to_spec() == spec_train_test

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

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

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

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

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


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

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

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





@pytest.mark.parametrize("""name, expected_exception"""   ,     [(None, TypeError), ("""""", ValueError)]      )
def 						lowercase		(     _lowerCAmelCase   ,     _lowerCAmelCase      ):
  UpperCAmelCase__    						=   [SplitInfo(name="""train"""   ,     num_examples=100      )]
  UpperCAmelCase__    						=   """train"""
  UpperCAmelCase__    						=   """arrow"""
  UpperCAmelCase__    						=   """prefix_path"""
  with pytest.raises(_lowerCAmelCase      ):
    UpperCAmelCase__    						=   make_file_instructions(_lowerCAmelCase   ,     _lowerCAmelCase   ,     _lowerCAmelCase   ,     _lowerCAmelCase   ,     _lowerCAmelCase      )










from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like


def 						lowercase		(     _lowerCAmelCase   ,     _lowerCAmelCase=3      ):
  UpperCAmelCase__    						=   int(mask / 2      )
  # copy image size
  UpperCAmelCase__    						=   zeros_like(_lowerCAmelCase      )
  for i in range(_lowerCAmelCase   ,     gray_img.shape[0] - bd      ):
    for j in range(_lowerCAmelCase   ,     gray_img.shape[1] - bd      ):
      # get mask according with mask
      UpperCAmelCase__    						=   ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]      )
      # calculate mask median
      UpperCAmelCase__    						=   sort(_lowerCAmelCase      )[inta(divide((multiply(_lowerCAmelCase   ,     _lowerCAmelCase      ))   ,     2      ) + 1      )]
      UpperCAmelCase__    						=   median
  return median_img


if __name__ == "__main__":
   # read original image
   snake_case__ :						Tuple     =			imread('''../image_data/lena.jpg''')
   # turn image in gray scale value
   snake_case__ :						List[Any]     =			cvtColor(img, COLOR_BGR2GRAY)

   # get values with two different mask size
   snake_case__ :						str     =			median_filter(gray, 3)
   snake_case__ :						List[str]     =			median_filter(gray, 5)

   # show result images
   imshow('''median filter with 3x3 mask''', medianaxa)
   imshow('''median filter with 5x5 mask''', medianaxa)
   waitKey(0)




