
"""simple docstring"""
import json
import os
import tempfile

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features import ArrayaD
from utils import generate_examples, get_duration


SCREAMING_SNAKE_CASE_			      =					(30, 487)
SCREAMING_SNAKE_CASE_			      =					(36, 1_024)
SCREAMING_SNAKE_CASE_			      =					(100, 100)
SCREAMING_SNAKE_CASE_			      =					100

SCREAMING_SNAKE_CASE_			      =					datasets.Features(
    {'''text''': ArrayaD(SHAPE_TEST_1, dtype='''float32'''), '''image''': ArrayaD(SHAPE_TEST_2, dtype='''float32''')}
)

SCREAMING_SNAKE_CASE_      ,    SCREAMING_SNAKE_CASE_			      =					os.path.split(__file__)
SCREAMING_SNAKE_CASE_			      =					os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))

@get_duration
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						with ArrowWriter(features=_lowerCAmelCase				,  path=os.path.join(_lowerCAmelCase				,  """beta.arrow"""		)		) as writer:
												for key, record in dummy_data:
																		__lowerCAmelCase        =       my_features.encode_example(_lowerCAmelCase		)
																		writer.write(_lowerCAmelCase		)
												__lowerCAmelCase ,      __lowerCAmelCase        =       writer.finalize()

@get_duration
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       datasets.Dataset.from_file(
						    filename=os.path.join(_lowerCAmelCase				,  """beta.arrow"""		)				,  info=datasets.DatasetInfo(features=_lowerCAmelCase		)		)
						for _ in dataset:
												pass

@get_duration
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       datasets.Dataset.from_file(
						    filename=os.path.join(_lowerCAmelCase				,  """beta.arrow"""		)				,  info=datasets.DatasetInfo(features=_lowerCAmelCase		)		)
						dataset.set_format("""numpy"""		)
						for _ in dataset:
												pass

@get_duration
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       10
						__lowerCAmelCase        =       datasets.Dataset.from_file(
						    filename=os.path.join(_lowerCAmelCase				,  """beta.arrow"""		)				,  info=datasets.DatasetInfo(features=_lowerCAmelCase		)		)
						for i in range(0				,  len(_lowerCAmelCase		)				,  _lowerCAmelCase		):
												__lowerCAmelCase        =       dataset[i : i + batch_size]

@get_duration
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       10
						__lowerCAmelCase        =       datasets.Dataset.from_file(
						    filename=os.path.join(_lowerCAmelCase				,  """beta.arrow"""		)				,  info=datasets.DatasetInfo(features=_lowerCAmelCase		)		)
						dataset.set_format("""numpy"""		)
						for i in range(0				,  len(_lowerCAmelCase		)				,  _lowerCAmelCase		):
												__lowerCAmelCase        =       dataset[i : i + batch_size]

@get_duration
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       datasets.Dataset.from_file(
						    filename=os.path.join(_lowerCAmelCase				,  """beta.arrow"""		)				,  info=datasets.DatasetInfo(features=_lowerCAmelCase		)		)
						for col in feats:
												__lowerCAmelCase        =       dataset[col]

@get_duration
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       datasets.Dataset.from_file(
						    filename=os.path.join(_lowerCAmelCase				,  """beta.arrow"""		)				,  info=datasets.DatasetInfo(features=_lowerCAmelCase		)		)
						dataset.set_format("""numpy"""		)
						for col in feats:
												__lowerCAmelCase        =       dataset[col]

def 				lowercase      ():
						__lowerCAmelCase        =       {}
						__lowerCAmelCase        =       (
						    read_unformated,
						    read_formatted_as_numpy,
						    read_batch_unformated,
						    read_batch_formatted_as_numpy,
						    read_col_unformated,
						    read_col_formatted_as_numpy,
						)
						with tempfile.TemporaryDirectory() as tmp_dir:
												__lowerCAmelCase        =       datasets.Features({"""image""": ArrayaD(_lowerCAmelCase				,  dtype="""float32"""		)}		)
												__lowerCAmelCase        =       generate_examples(features=_lowerCAmelCase				,  num_examples=_lowerCAmelCase		)
												__lowerCAmelCase        =       write(_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		)
												for read_func in read_functions:
																		__lowerCAmelCase        =       read_func(_lowerCAmelCase				,  _lowerCAmelCase		)

						with tempfile.TemporaryDirectory() as tmp_dir:
												# don't use fixed length for fair comparison
												# feats = datasets.Features(
												#     {"image": datasets.Sequence(datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[1]), SPEED_TEST_SHAPE[0])}
												# )
												__lowerCAmelCase        =       datasets.Features({"""image""": datasets.Sequence(datasets.Sequence(datasets.Value("""float32"""		)		)		)}		)
												__lowerCAmelCase        =       generate_examples(
												    features=_lowerCAmelCase				,  num_examples=_lowerCAmelCase				,  seq_shapes={"""image""": SPEED_TEST_SHAPE}		)
												__lowerCAmelCase        =       write(_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		)
												for read_func in read_functions:
																		__lowerCAmelCase        =       read_func(_lowerCAmelCase				,  _lowerCAmelCase		)

						with tempfile.TemporaryDirectory() as tmp_dir:
												# don't use fixed length for fair comparison
												# feats = datasets.Features(
												#     {"image": datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1])}
												# )
												__lowerCAmelCase        =       datasets.Features({"""image""": datasets.Sequence(datasets.Value("""float32"""		)		)}		)
												__lowerCAmelCase        =       generate_examples(
												    features=_lowerCAmelCase				,  num_examples=_lowerCAmelCase				,  seq_shapes={"""image""": [SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1]]}				,  )
												__lowerCAmelCase        =       write(_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		)
												for read_func in read_functions:
																		__lowerCAmelCase        =       read_func(_lowerCAmelCase				,  _lowerCAmelCase		)

						with open(_lowerCAmelCase				,  """wb"""		) as f:
												f.write(json.dumps(_lowerCAmelCase		).encode("""utf-8"""		)		)


if __name__ == "__main__":  # useful to run the profiler
			benchmark_array_xd()


"""simple docstring"""
def 				lowercase      (_lowerCAmelCase		):
						# must be
						__lowerCAmelCase        =       [list(_lowerCAmelCase		) for row in matrix]
						if matrix and isinstance(_lowerCAmelCase				,  _lowerCAmelCase		):
												if isinstance(matrix[0]				,  _lowerCAmelCase		):
																		__lowerCAmelCase        =       0
																		for row in matrix:
																								if prev_len == 0:
																														__lowerCAmelCase        =       len(_lowerCAmelCase		)
																														__lowerCAmelCase        =       True
																								else:
																														__lowerCAmelCase        =       prev_len == len(_lowerCAmelCase		)
												else:
																		__lowerCAmelCase        =       True
						else:
												__lowerCAmelCase        =       False

						return result

def 				lowercase      (_lowerCAmelCase		):
						if check_matrix(_lowerCAmelCase		) and len(_lowerCAmelCase		) > 0:
												__lowerCAmelCase        =       [list(_lowerCAmelCase		) for row in a]
												__lowerCAmelCase        =       len(_lowerCAmelCase		)
												if isinstance(a[0]				,  _lowerCAmelCase		):
																		__lowerCAmelCase        =       len(a[0]		)
												else:
																		for dat in a:
																								print(_lowerCAmelCase		)
																		return

												# horizotal printing increasing
												for i in range(0				,  _lowerCAmelCase		):
																		print(a[0][i]		)
												# vertical printing down
												for i in range(1				,  _lowerCAmelCase		):
																		print(a[i][mat_col - 1]		)
												# horizotal printing decreasing
												if mat_row > 1:
																		for i in range(mat_col - 2				,  -1				,  -1		):
																								print(a[mat_row - 1][i]		)
        # vertical printing up
												for i in range(mat_row - 2				,  0				,  -1		):
																		print(a[i][0]		)
												__lowerCAmelCase        =       [row[1 : mat_col - 1] for row in a[1 : mat_row - 1]]
												if len(_lowerCAmelCase		) > 0:
																		spiral_print_clockwise(_lowerCAmelCase		)
												else:
																		return
						else:
												print("""Not a valid matrix"""		)
												return

def 				lowercase      (_lowerCAmelCase		):
						if matrix:
												return list(matrix.pop(0		)		) + spiral_traversal(list(zip(*_lowerCAmelCase		)		)[::-1]		)
						else:
												return []


# driver code
if __name__ == "__main__":
			import doctest

			doctest.testmod()

			SCREAMING_SNAKE_CASE_			      =					[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]
			spiral_print_clockwise(a)
