



"""simple docstring"""






import builtins
import sys

from ...utils.imports import _is_package_available
from . import cursor, input
from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor
from .keymap import KEYMAP


__snake_case							:   Optional[int]      =    False
try:
	__snake_case							:   Optional[int]      =    _is_package_available('google.colab')
except ModuleNotFoundError:
	pass



@input.register
class 			A__   :




	'''simple docstring'''





	def __init__(     self:		Union[str, Any]       ,			_SCREAMING_SNAKE_CASE:		str = None       ,			_SCREAMING_SNAKE_CASE:		list = [])				->       Any:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       0
				__lowerCAmelCase      :  str												=       choices
				__lowerCAmelCase      :  int												=       prompt
				if sys.platform == "win32":
							__lowerCAmelCase      :  Optional[int]												=       "*"
				else:
							__lowerCAmelCase      :  str												=       "➔ "

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int]       ,			_SCREAMING_SNAKE_CASE:		Union[str, Any]       ,			_SCREAMING_SNAKE_CASE:		str = "")				->       List[str]:

				"""simple docstring"""

				if sys.platform != "win32":
							writeColor(self.choices[index]       ,			32       ,			_SCREAMING_SNAKE_CASE)
				else:
							forceWrite(self.choices[index]       ,			_SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str]       ,			_SCREAMING_SNAKE_CASE:		int)				->       Optional[int]:

				"""simple docstring"""

				if index == self.position:
							forceWrite(F""" {self.arrow_char} """)
							self.write_choice(_SCREAMING_SNAKE_CASE)
				else:
							forceWrite(F"""    {self.choices[index]}""")
				reset_cursor()

	def 							_SCREAMING_SNAKE_CASE   (     self:		Any       ,			_SCREAMING_SNAKE_CASE:		Direction       ,			_SCREAMING_SNAKE_CASE:		int = 1)				->       str:

				"""simple docstring"""

				__lowerCAmelCase      :  Union[str, Any]												=       self.position
				if direction == Direction.DOWN:
							if self.position + 1 >= len(self.choices):
										return
							self.position += num_spaces
				else:
							if self.position - 1 < 0:
										return
							self.position -= num_spaces
				clear_line()
				self.print_choice(_SCREAMING_SNAKE_CASE)
				move_cursor(_SCREAMING_SNAKE_CASE       ,			direction.name)
				self.print_choice(self.position)

	@input.mark(KEYMAP["up"])
	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       Optional[Any]:

				"""simple docstring"""

				self.move_direction(Direction.UP)

	@input.mark(KEYMAP["down"])
	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       Tuple:

				"""simple docstring"""

				self.move_direction(Direction.DOWN)

	@input.mark(KEYMAP["newline"])
	def 							_SCREAMING_SNAKE_CASE   (     self:		str)				->       int:

				"""simple docstring"""

				move_cursor(len(self.choices) - self.position       ,			"DOWN")
				return self.position

	@input.mark(KEYMAP["interrupt"])
	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       int:

				"""simple docstring"""

				move_cursor(len(self.choices) - self.position       ,			"DOWN")
				raise KeyboardInterrupt

	@input.mark_multiple(*[KEYMAP[str(_SCREAMING_SNAKE_CASE)] for number in range(10)])
	def 							_SCREAMING_SNAKE_CASE   (     self:		str)				->       str:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       int(chr(self.current_selection))
				__lowerCAmelCase      :  str												=       index - self.position
				if index == self.position:
							return
				if index < len(self.choices):
							if self.position > index:
										self.move_direction(Direction.UP       ,			-movement)
							elif self.position < index:
										self.move_direction(Direction.DOWN       ,			_SCREAMING_SNAKE_CASE)
							else:
										return
				else:
							return







	def 							_SCREAMING_SNAKE_CASE   (     self:		Union[str, Any]       ,			_SCREAMING_SNAKE_CASE:		int = 0)				->       int:

				"""simple docstring"""

				if self.prompt:
							linebreak()
							forceWrite(self.prompt       ,			"\n")
							if in_colab:
										forceWrite("Please input a choice index (starting from 0), and press enter"       ,			"\n")
							else:
										forceWrite("Please select a choice using the arrow or number keys, and selecting with enter"       ,			"\n")
				__lowerCAmelCase      :  Any												=       default_choice
				for i in range(len(self.choices)):
							self.print_choice(_SCREAMING_SNAKE_CASE)
							forceWrite("\n")
				move_cursor(len(self.choices) - self.position       ,			"UP")
				with cursor.hide():
							while True:
										if in_colab:
													try:
																__lowerCAmelCase      :  Optional[Any]												=       int(builtins.input())
													except ValueError:
																__lowerCAmelCase      :  int												=       default_choice
										else:
													__lowerCAmelCase      :  Any												=       self.handle_input()
										if choice is not None:
													reset_cursor()
													for _ in range(len(self.choices) + 1):
																move_cursor(1       ,			"UP")
																clear_line()
													self.write_choice(_SCREAMING_SNAKE_CASE       ,			"\n")
													return choice




"""simple docstring"""






import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


__snake_case							:   Optional[int]      =    50_000
__snake_case							:   Dict      =    5_000

__snake_case      ,		__snake_case							:   Union[str, Any]      =    os.path.split(__file__)
__snake_case							:   Any      =    os.path.join(RESULTS_BASEPATH, 'results', RESULTS_FILENAME.replace('.py', '.json'))


@get_duration
def 			_lowercase				(  __snake_case					,__snake_case	)						->   Dict:
			for i in range(__snake_case	):
						__lowerCAmelCase      :  Union[str, Any]												=       dataset[i]


@get_duration
def 			_lowercase				(  __snake_case					,__snake_case					,__snake_case	)						->   Dict:
			for i in range(0					,len(__snake_case	)					,__snake_case	):
						__lowerCAmelCase      :  List[str]												=       dataset[i : i + batch_size]


@get_duration
def 			_lowercase				(  __snake_case					,__snake_case					,__snake_case	)						->   Dict:
			with dataset.formatted_as(type=__snake_case	):
						for i in range(__snake_case	):
									__lowerCAmelCase      :  Union[str, Any]												=       dataset[i]


@get_duration
def 			_lowercase				(  __snake_case					,__snake_case					,__snake_case					,__snake_case	)						->   str:
			with dataset.formatted_as(type=__snake_case	):
						for i in range(0					,__snake_case					,__snake_case	):
									__lowerCAmelCase      :  Optional[int]												=       dataset[i : i + batch_size]


def 			_lowercase				(  )						->   Union[str, Any]:
			__lowerCAmelCase      :  Optional[int]												=       {"num examples": SPEED_TEST_N_EXAMPLES}
			__lowerCAmelCase      :  Optional[int]												=       [
			    (read, {"length": SMALL_TEST}),
			    (read, {"length": SPEED_TEST_N_EXAMPLES}),
			    (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 10}),
			    (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 100}),
			    (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 1_000}),
			    (read_formatted, {"type": "numpy", "length": SMALL_TEST}),
			    (read_formatted, {"type": "pandas", "length": SMALL_TEST}),
			    (read_formatted, {"type": "torch", "length": SMALL_TEST}),
			    (read_formatted, {"type": "tensorflow", "length": SMALL_TEST}),
			    (read_formatted_batch, {"type": "numpy", "length": SMALL_TEST, "batch_size": 10}),
			    (read_formatted_batch, {"type": "numpy", "length": SMALL_TEST, "batch_size": 1_000}),
			]

			__lowerCAmelCase      :  Any												=       [
			    (read, {"length": SMALL_TEST}),
			    (read, {"length": SPEED_TEST_N_EXAMPLES}),
			    (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 10}),
			    (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 100}),
			    (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 1_000}),
			    (read_formatted, {"type": "numpy", "length": SMALL_TEST}),
			    (read_formatted_batch, {"type": "numpy", "length": SMALL_TEST, "batch_size": 10}),
			    (read_formatted_batch, {"type": "numpy", "length": SMALL_TEST, "batch_size": 1_000}),
			]
			with tempfile.TemporaryDirectory() as tmp_dir:
						print("generating dataset"	)
						__lowerCAmelCase      :  int												=       datasets.Features(
						    {"list": datasets.Sequence(datasets.Value("float32"	)	), "numbers": datasets.Value("float32"	)}	)
						__lowerCAmelCase      :  str												=       generate_example_dataset(
						    os.path.join(__snake_case					,"dataset.arrow"	)					,__snake_case					,num_examples=__snake_case					,seq_shapes={"list": (100,)}					,)
						print("first set of iterations"	)
						for func, kwargs in functions:
									print(func.__name__					,str(__snake_case	)	)
									__lowerCAmelCase      :  str												=       func(__snake_case					,**__snake_case	)

						print("shuffling dataset"	)
						__lowerCAmelCase      :  Optional[int]												=       dataset.shuffle()
						print("Second set of iterations (after shuffling"	)
						for func, kwargs in functions_shuffled:
									print("shuffled "					,func.__name__					,str(__snake_case	)	)
									__lowerCAmelCase      :  List[str]												=       func(
									    __snake_case					,**__snake_case	)

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


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