






import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

__magic_name__:	Tuple							=      [
    "cross_validation.py",
    "gradient_accumulation.py",
    "local_sgd.py",
    "multi_process_metrics.py",
    "memory.py",
    "automatic_gradient_accumulation.py",
    "fsdp_with_peak_mem_tracking.py",
    "deepspeed_with_config_support.py",
    "megatron_lm_gpt_pretraining.py",
]





class 			snake_case__   (				unittest.TestCase ):
	def      __magic_name__							(							self     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__ = None     ,  lowerCAmelCase__ = None					)				-> int:
							__magic_name__     :  List[str]  		=   None
							__magic_name__     :  Union[str, Any]  		=   os.path.abspath(os.path.join("""examples"""     ,  """by_feature"""					)					)
							__magic_name__     :  int  		=   os.path.abspath("""examples"""					)
							for item in os.listdir(lowerCAmelCase_					):
													if item not in EXCLUDE_EXAMPLES:
																			__magic_name__     :  Union[str, Any]  		=   os.path.join(lowerCAmelCase_     ,  lowerCAmelCase_					)
																			if os.path.isfile(lowerCAmelCase_					) and ".py" in item_path:
																									with self.subTest(
																									    tested_script=lowerCAmelCase_     ,  feature_script=lowerCAmelCase_     ,  tested_section="""main()""" if parser_only else """training_function()"""     ,  ):
																															__magic_name__     :  Any  		=   compare_against_test(
																															    os.path.join(lowerCAmelCase_     ,  lowerCAmelCase_					)     ,  lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_					)
																															__magic_name__     :  List[Any]  		=   """\n""".join(lowerCAmelCase_					)
																															if special_strings is not None:
																																					for string in special_strings:
																																											__magic_name__     :  Union[str, Any]  		=   diff.replace(lowerCAmelCase_     ,  """"""					)
																															self.assertEqual(lowerCAmelCase_     ,  """"""					)
	def      __magic_name__							(							self					)				-> Optional[int]:
							self.one_complete_example("""complete_nlp_example.py"""     ,  lowerCAmelCase_					)
							self.one_complete_example("""complete_nlp_example.py"""     ,  lowerCAmelCase_					)







	def      __magic_name__							(							self					)				-> Any:
							__magic_name__     :  Union[str, Any]  		=   os.path.abspath(os.path.join("""examples"""     ,  """cv_example.py"""					)					)
							__magic_name__     :  Union[str, Any]  		=   [
							    """ """ * 16 + """{\n\n""",
							    """ """ * 20 + """\"accuracy\": eval_metric[\"accuracy\"],\n\n""",
							    """ """ * 20 + """\"f1\": eval_metric[\"f1\"],\n\n""",
							    """ """ * 20 + """\"train_loss\": total_loss.item() / len(train_dataloader),\n\n""",
							    """ """ * 20 + """\"epoch\": epoch,\n\n""",
							    """ """ * 16 + """},\n\n""",
							    """ """ * 16 + """step=epoch,\n""",
							    """ """ * 12,
							    """ """ * 8 + """for step, batch in enumerate(active_dataloader):\n""",
							]
							self.one_complete_example("""complete_cv_example.py"""     ,  lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_					)
							self.one_complete_example("""complete_cv_example.py"""     ,  lowerCAmelCase_     ,  lowerCAmelCase_     ,  lowerCAmelCase_					)





@mock.patch.dict(os.environ		,    {'''TESTING_MOCKED_DATALOADERS''': '''1'''} )
class 			snake_case__   (				_SCREAMING_SNAKE_CASE ):
	lowercase__		:	int				 =       False
	@classmethod
	def      __magic_name__							(							cls					)				-> Optional[Any]:
							super().setUpClass()
							__magic_name__     :  Union[str, Any]  		=   tempfile.mkdtemp()
							__magic_name__     :  Any  		=   os.path.join(cls._tmpdir     ,  """default_config.yml"""					)

							write_basic_config(save_location=cls.configPath					)
							__magic_name__     :  Tuple  		=   ["""accelerate""", """launch""", """--config_file""", cls.configPath]
	@classmethod
	def      __magic_name__							(							cls					)				-> Tuple:
							super().tearDownClass()
							shutil.rmtree(cls._tmpdir					)
	def      __magic_name__							(							self					)				-> Optional[int]:
							__magic_name__     :  Union[str, Any]  		=   F'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps epoch\n        --output_dir {self.tmpdir}\n        '.split()
							run_command(self._launch_args + testargs					)
							self.assertTrue(os.path.exists(os.path.join(self.tmpdir     ,  """epoch_0"""					)					)					)
	def      __magic_name__							(							self					)				-> int:
							__magic_name__     :  Dict  		=   F'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        '.split()
							__magic_name__     :  Any  		=   run_command(self._launch_args + testargs					)
							self.assertTrue(os.path.exists(os.path.join(self.tmpdir     ,  """step_2"""					)					)					)
	def      __magic_name__							(							self					)				-> Optional[int]:
							__magic_name__     :  Any  		=   F'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir     ,  "epoch_0"					)}\n        '.split()
							__magic_name__     :  str  		=   run_command(self._launch_args + testargs     ,  return_stdout=lowerCAmelCase_					)
							self.assertNotIn("""epoch 0:"""     ,  lowerCAmelCase_					)
							self.assertIn("""epoch 1:"""     ,  lowerCAmelCase_					)
	def      __magic_name__							(							self					)				-> Tuple:
							__magic_name__     :  Optional[Any]  		=   F'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir     ,  "step_2"					)}\n        '.split()
							__magic_name__     :  Optional[Any]  		=   run_command(self._launch_args + testargs     ,  return_stdout=lowerCAmelCase_					)
							if torch.cuda.is_available():
													__magic_name__     :  Any  		=   torch.cuda.device_count()
							else:
													__magic_name__     :  List[str]  		=   1
							if num_processes > 1:
													self.assertNotIn("""epoch 0:"""     ,  lowerCAmelCase_					)
													self.assertIn("""epoch 1:"""     ,  lowerCAmelCase_					)
							else:
													self.assertIn("""epoch 0:"""     ,  lowerCAmelCase_					)
													self.assertIn("""epoch 1:"""     ,  lowerCAmelCase_					)
	@slow
	def      __magic_name__							(							self					)				-> int:
							__magic_name__     :  int  		=   """
        examples/by_feature/cross_validation.py
        --num_folds 2
        """.split()
							with mock.patch.dict(os.environ     ,  {"""TESTING_MOCKED_DATALOADERS""": """0"""}					):
													__magic_name__     :  Optional[Any]  		=   run_command(self._launch_args + testargs     ,  return_stdout=lowerCAmelCase_					)
													__magic_name__     :  str  		=   re.findall("""({.+})"""     ,  lowerCAmelCase_					)
													__magic_name__     :  int  		=   [r for r in results if """accuracy""" in r][-1]
													__magic_name__     :  Tuple  		=   ast.literal_eval(lowerCAmelCase_					)
													self.assertGreaterEqual(results["""accuracy"""]     ,  0.7_5					)
	def      __magic_name__							(							self					)				-> Optional[Any]:
							__magic_name__     :  Any  		=   ["""examples/by_feature/multi_process_metrics.py"""]
							run_command(self._launch_args + testargs					)
	@require_trackers
	@mock.patch.dict(os.environ     ,  {"""WANDB_MODE""": """offline"""}					)
	def      __magic_name__							(							self					)				-> List[Any]:
							with tempfile.TemporaryDirectory() as tmpdir:
													__magic_name__     :  Tuple  		=   F'\n            examples/by_feature/tracking.py\n            --with_tracking\n            --project_dir {tmpdir}\n            '.split()
													run_command(self._launch_args + testargs					)
													self.assertTrue(os.path.exists(os.path.join(lowerCAmelCase_     ,  """tracking"""					)					)					)
	def      __magic_name__							(							self					)				-> Tuple:
							__magic_name__     :  Dict  		=   ["""examples/by_feature/gradient_accumulation.py"""]
							run_command(self._launch_args + testargs					)







	def      __magic_name__							(							self					)				-> List[str]:
							__magic_name__     :  List[Any]  		=   ["""examples/by_feature/local_sgd.py"""]
							run_command(self._launch_args + testargs					)








"""simple docstring"""
from __future__ import annotations

from collections.abc import Sequence
from typing import Literal






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    Optional[int]						     = list(snake_case__       )
	A_		:    List[Any]						     = list(snake_case__       )
	A_		:    List[str]						     = 0
	for i in range(len(snake_case__       )       ):
		if lista[i] != lista[i]:
			count += 1
			A_		:    Optional[int]						     = """_"""
	if count > 1:
		return False
	else:
		return "".join(snake_case__       )






def       __UpperCamelCase						(		snake_case__       ):
	A_		:    List[str]						     = []
	while True:
		A_		:    Any						     = ["""$"""] * len(snake_case__       )
		A_		:    int						     = []
		for i in range(len(snake_case__       )       ):
			for j in range(i + 1 , len(snake_case__       )       ):
				A_		:    int						     = compare_string(binary[i] , binary[j]       )
				if k is False:
					A_		:    Optional[int]						     = """*"""
					A_		:    str						     = """*"""
					temp.append("""X"""       )
		for i in range(len(snake_case__       )       ):
			if checka[i] == "$":
				pi.append(binary[i]       )
		if len(snake_case__       ) == 0:
			return pi
		A_		:    Tuple						     = list(set(snake_case__       )       )






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    str						     = []
	for minterm in minterms:
		A_		:    Any						     = """"""
		for _ in range(snake_case__       ):
			A_		:    int						     = str(minterm % 2       ) + string
			minterm //= 2
		temp.append(snake_case__       )
	return temp






def       __UpperCamelCase						(		snake_case__ , snake_case__ , snake_case__       ):
	A_		:    str						     = list(snake_case__       )
	A_		:    List[Any]						     = list(snake_case__       )
	A_		:    Optional[Any]						     = 0
	for i in range(len(snake_case__       )       ):
		if lista[i] != lista[i]:
			count_n += 1
	return count_n == count






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    str						     = []
	A_		:    Tuple						     = [0] * len(snake_case__       )
	for i in range(len(chart[0]       )       ):
		A_		:    Optional[int]						     = 0
		A_		:    List[str]						     = -1
		for j in range(len(snake_case__       )       ):
			if chart[j][i] == 1:
				count += 1
				A_		:    Union[str, Any]						     = j
		if count == 1:
			A_		:    str						     = 1
	for i in range(len(snake_case__       )       ):
		if select[i] == 1:
			for j in range(len(chart[0]       )       ):
				if chart[i][j] == 1:
					for k in range(len(snake_case__       )       ):
						A_		:    Optional[int]						     = 0
			temp.append(prime_implicants[i]       )
	while True:
		A_		:    List[str]						     = 0
		A_		:    List[str]						     = -1
		A_		:    Union[str, Any]						     = 0
		for i in range(len(snake_case__       )       ):
			A_		:    List[str]						     = chart[i].count(1       )
			if count_n > max_n:
				A_		:    Union[str, Any]						     = count_n
				A_		:    Optional[int]						     = i

		if max_n == 0:
			return temp

		temp.append(prime_implicants[rem]       )

		for i in range(len(chart[0]       )       ):
			if chart[rem][i] == 1:
				for j in range(len(snake_case__       )       ):
					A_		:    Optional[Any]						     = 0






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    Optional[int]						     = [[0 for x in range(len(snake_case__       )       )] for x in range(len(snake_case__       )       )]
	for i in range(len(snake_case__       )       ):
		A_		:    List[str]						     = prime_implicants[i].count("""_"""       )
		for j in range(len(snake_case__       )       ):
			if is_for_table(prime_implicants[i] , binary[j] , snake_case__       ):
				A_		:    Union[str, Any]						     = 1

	return chart






def       __UpperCamelCase						(		):
	A_		:    Union[str, Any]						     = int(input("""Enter the no. of variables\n"""       )       )
	A_		:    List[Any]						     = [
	    float(snake_case__       )
	    for x in input(
	        """Enter the decimal representation of Minterms 'Spaces Separated'\n"""       ).split()
	]
	A_		:    List[str]						     = decimal_to_binary(snake_case__ , snake_case__       )

	A_		:    str						     = check(snake_case__       )
	print("""Prime Implicants are:"""       )
	print(snake_case__       )
	A_		:    List[str]						     = prime_implicant_chart(snake_case__ , snake_case__       )

	A_		:    int						     = selection(snake_case__ , snake_case__       )
	print("""Essential Prime Implicants are:"""       )
	print(snake_case__       )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()

