






def    __lowerCAmelCase   (    __snake_case							):
     __lowerCAmelCase             =       []
     __lowerCAmelCase             =       set({"(", "[", "{"}							)
     __lowerCAmelCase             =       set({")", "]", "}"}							)
     __lowerCAmelCase             =       {"{": "}", "[": "]", "(": ")"}

     for i in range(len(UpperCamelCase__							)							):
          if s[i] in open_brackets:
               stack.append(s[i]							)

          elif s[i] in closed_brackets and (
              len(UpperCamelCase__							) == 0 or (len(UpperCamelCase__							) > 0 and open_to_closed[stack.pop()] != s[i])
          ):
               return False

     return len(UpperCamelCase__							) == 0





def    __lowerCAmelCase   (    ):
     __lowerCAmelCase             =       input("Enter sequence of brackets: "							)
     if is_balanced(UpperCamelCase__							):
          print(UpperCamelCase__       ,			"is balanced"							)
     else:
          print(UpperCamelCase__       ,			"is not balanced"							)


if __name__ == "__main__":
 main()













import inspect
import os

import torch
from transformers import AutoModel
from transformers.testing_utils import mockenv_context
from transformers.trainer_utils import set_seed

import accelerate
from accelerate.accelerator import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils.testing import (
    AccelerateTestCase,
    TempDirTestCase,
    execute_subprocess_async,
    require_cuda,
    require_fsdp,
    require_multi_gpu,
    slow,
)
from accelerate.utils.constants import (
    FSDP_AUTO_WRAP_POLICY,
    FSDP_BACKWARD_PREFETCH,
    FSDP_SHARDING_STRATEGY,
    FSDP_STATE_DICT_TYPE,
)
from accelerate.utils.dataclasses import FullyShardedDataParallelPlugin
from accelerate.utils.other import patch_environment


set_seed(42)

_lowerCamelCase 					=      'bert-base-cased'
_lowerCamelCase 					=      'fp16'
_lowerCamelCase 					=      'bf16'
_lowerCamelCase 					=      [FPaa, BFaa]




@require_fsdp
@require_cuda
class 	UpperCamelCase_							(  UpperCamelCase__     ):


							def   _snake_case	(				self     :Optional[Any]		) -> Optional[Any]:



									"""simple docstring"""



									super().setUp()

									SCREAMING_SNAKE_CASE__								=   dict(
									    ACCELERATE_USE_FSDP="""true"""				,					MASTER_ADDR="""localhost"""				,					MASTER_PORT="""10999"""				,					RANK="""0"""				,					LOCAL_RANK="""0"""				,					WORLD_SIZE="""1"""				,					)


							def   _snake_case	(				self     :List[Any]		) -> Tuple:



									"""simple docstring"""



									from torch.distributed.fsdp.fully_sharded_data_parallel import ShardingStrategy

									for i, strategy in enumerate(__A		):
											SCREAMING_SNAKE_CASE__								=   self.dist_env.copy()
											SCREAMING_SNAKE_CASE__								=   f'''{i + 1}'''
											SCREAMING_SNAKE_CASE__								=   strategy
											with mockenv_context(**__A		):
													SCREAMING_SNAKE_CASE__								=   FullyShardedDataParallelPlugin()
													self.assertEqual(fsdp_plugin.sharding_strategy				,					ShardingStrategy(i + 1		)		)


							def   _snake_case	(				self     :int		) -> List[str]:



									"""simple docstring"""



									from torch.distributed.fsdp.fully_sharded_data_parallel import BackwardPrefetch

									for i, prefetch_policy in enumerate(__A		):
											SCREAMING_SNAKE_CASE__								=   self.dist_env.copy()
											SCREAMING_SNAKE_CASE__								=   prefetch_policy
											with mockenv_context(**__A		):
													SCREAMING_SNAKE_CASE__								=   FullyShardedDataParallelPlugin()
													if prefetch_policy == "NO_PREFETCH":
															self.assertIsNone(fsdp_plugin.backward_prefetch		)
													else:
															self.assertEqual(fsdp_plugin.backward_prefetch				,					BackwardPrefetch(i + 1		)		)


							def   _snake_case	(				self     :List[str]		) -> List[str]:



									"""simple docstring"""



									from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType

									for i, state_dict_type in enumerate(__A		):
											SCREAMING_SNAKE_CASE__								=   self.dist_env.copy()
											SCREAMING_SNAKE_CASE__								=   state_dict_type
											with mockenv_context(**__A		):
													SCREAMING_SNAKE_CASE__								=   FullyShardedDataParallelPlugin()
													self.assertEqual(fsdp_plugin.state_dict_type				,					StateDictType(i + 1		)		)
													if state_dict_type == "FULL_STATE_DICT":
															self.assertTrue(fsdp_plugin.state_dict_config.offload_to_cpu		)
															self.assertTrue(fsdp_plugin.state_dict_config.ranka_only		)


							def   _snake_case	(				self     :str		) -> str:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   AutoModel.from_pretrained(__A		)
									for policy in FSDP_AUTO_WRAP_POLICY:
											SCREAMING_SNAKE_CASE__								=   self.dist_env.copy()
											SCREAMING_SNAKE_CASE__								=   policy
											if policy == "TRANSFORMER_BASED_WRAP":
													SCREAMING_SNAKE_CASE__								=   """BertLayer"""
											elif policy == "SIZE_BASED_WRAP":
													SCREAMING_SNAKE_CASE__								=   """2000"""
											with mockenv_context(**__A		):
													SCREAMING_SNAKE_CASE__								=   FullyShardedDataParallelPlugin()
													fsdp_plugin.set_auto_wrap_policy(__A		)
													if policy == "NO_WRAP":
															self.assertIsNone(fsdp_plugin.auto_wrap_policy		)
													else:
															self.assertIsNotNone(fsdp_plugin.auto_wrap_policy		)

									SCREAMING_SNAKE_CASE__								=   self.dist_env.copy()
									SCREAMING_SNAKE_CASE__								=   """TRANSFORMER_BASED_WRAP"""
									SCREAMING_SNAKE_CASE__								=   """T5Layer"""
									with mockenv_context(**__A		):
											SCREAMING_SNAKE_CASE__								=   FullyShardedDataParallelPlugin()
											with self.assertRaises(__A		) as cm:
													fsdp_plugin.set_auto_wrap_policy(__A		)
											self.assertTrue("""Could not find the transformer layer class to wrap in the model.""" in str(cm.exception		)		)

									SCREAMING_SNAKE_CASE__								=   self.dist_env.copy()
									SCREAMING_SNAKE_CASE__								=   """SIZE_BASED_WRAP"""
									SCREAMING_SNAKE_CASE__								=   """0"""
									with mockenv_context(**__A		):
											SCREAMING_SNAKE_CASE__								=   FullyShardedDataParallelPlugin()
											fsdp_plugin.set_auto_wrap_policy(__A		)
											self.assertIsNone(fsdp_plugin.auto_wrap_policy		)


							def   _snake_case	(				self     :Optional[Any]		) -> Optional[int]:



									"""simple docstring"""



									from torch.distributed.fsdp.fully_sharded_data_parallel import MixedPrecision
									from torch.distributed.fsdp.sharded_grad_scaler import ShardedGradScaler

									for mp_dtype in dtypes:
											SCREAMING_SNAKE_CASE__								=   self.dist_env.copy()
											SCREAMING_SNAKE_CASE__								=   mp_dtype
											with mockenv_context(**__A		):
													SCREAMING_SNAKE_CASE__								=   Accelerator()
													if mp_dtype == "fp16":
															SCREAMING_SNAKE_CASE__								=   torch.floataa
													elif mp_dtype == "bf16":
															SCREAMING_SNAKE_CASE__								=   torch.bfloataa
													SCREAMING_SNAKE_CASE__								=   MixedPrecision(param_dtype=__A				,					reduce_dtype=__A				,					buffer_dtype=__A		)
													self.assertEqual(accelerator.state.fsdp_plugin.mixed_precision_policy				,					__A		)
													if mp_dtype == FPaa:
															self.assertTrue(isinstance(accelerator.scaler				,					__A		)		)
													elif mp_dtype == BFaa:
															self.assertIsNone(accelerator.scaler		)
													AcceleratorState._reset_state(__A		)


							def   _snake_case	(				self     :str		) -> str:



									"""simple docstring"""



									from torch.distributed.fsdp.fully_sharded_data_parallel import CPUOffload

									for flag in [True, False]:
											SCREAMING_SNAKE_CASE__								=   self.dist_env.copy()
											SCREAMING_SNAKE_CASE__								=   str(__A		).lower()
											with mockenv_context(**__A		):
													SCREAMING_SNAKE_CASE__								=   FullyShardedDataParallelPlugin()
													self.assertEqual(fsdp_plugin.cpu_offload				,					CPUOffload(offload_params=__A		)		)




@require_fsdp
@require_multi_gpu
@slow
class 	UpperCamelCase_							(  UpperCamelCase__     ):


							def   _snake_case	(				self     :Any		) -> Any:



									"""simple docstring"""



									super().setUp()
									SCREAMING_SNAKE_CASE__								=   0.8_2
									SCREAMING_SNAKE_CASE__								=   [
									    """fsdp_shard_grad_op_transformer_based_wrap""",
									    """fsdp_full_shard_transformer_based_wrap""",
									]
									SCREAMING_SNAKE_CASE__								=   {
									    """multi_gpu_fp16""": 3200,
									    """fsdp_shard_grad_op_transformer_based_wrap_fp16""": 2000,
									    """fsdp_full_shard_transformer_based_wrap_fp16""": 1900,
									    # Disabling below test as it overwhelms the RAM memory usage
									    # on CI self-hosted runner leading to tests getting killed.
									    # "fsdp_full_shard_cpu_offload_transformer_based_wrap_fp32": 1500,  # fp16 was leading to indefinite hang
									}
									SCREAMING_SNAKE_CASE__								=   160
									SCREAMING_SNAKE_CASE__								=   160

									SCREAMING_SNAKE_CASE__								=   inspect.getfile(accelerate.test_utils		)
									SCREAMING_SNAKE_CASE__								=   os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ["""scripts""", """external_deps"""]		)


							def   _snake_case	(				self     :Union[str, Any]		) -> int:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   os.path.join(self.test_scripts_folder				,					"""test_performance.py"""		)
									SCREAMING_SNAKE_CASE__								=   ["""accelerate""", """launch""", """--num_processes=2""", """--num_machines=1""", """--machine_rank=0""", """--use_fsdp"""]
									for config in self.performance_configs:
											SCREAMING_SNAKE_CASE__								=   cmd.copy()
											for i, strategy in enumerate(__A		):
													if strategy.lower() in config:
															cmd_config.append(f'''--fsdp_sharding_strategy={i+1}'''		)
															break

											if "fp32" in config:
													cmd_config.append("""--mixed_precision=no"""		)
											else:
													cmd_config.append("""--mixed_precision=fp16"""		)

											if "cpu_offload" in config:
													cmd_config.append("""--fsdp_offload_params=True"""		)

											for policy in FSDP_AUTO_WRAP_POLICY:
													if policy.lower() in config:
															cmd_config.append(f'''--fsdp_auto_wrap_policy={policy}'''		)
															break

											if policy == "TRANSFORMER_BASED_WRAP":
													cmd_config.append("""--fsdp_transformer_layer_cls_to_wrap=BertLayer"""		)
											elif policy == "SIZE_BASED_WRAP":
													cmd_config.append("""--fsdp_min_num_params=2000"""		)

											cmd_config.extend(
											    [
											        self.test_file_path,
											        f'''--output_dir={self.tmpdir}''',
											        f'''--performance_lower_bound={self.performance_lower_bound}''',
											    ]		)
											with patch_environment(omp_num_threads=1		):
													execute_subprocess_async(__A				,					env=os.environ.copy()		)


							def   _snake_case	(				self     :Dict		) -> Union[str, Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   os.path.join(self.test_scripts_folder				,					"""test_checkpointing.py"""		)
									SCREAMING_SNAKE_CASE__								=   [
									    """accelerate""",
									    """launch""",
									    """--num_processes=2""",
									    """--num_machines=1""",
									    """--machine_rank=0""",
									    """--use_fsdp""",
									    """--mixed_precision=fp16""",
									    """--fsdp_transformer_layer_cls_to_wrap=BertLayer""",
									]

									for i, strategy in enumerate(__A		):
											SCREAMING_SNAKE_CASE__								=   cmd.copy()
											cmd_config.append(f'''--fsdp_sharding_strategy={i+1}'''		)
											if strategy != "FULL_SHARD":
													continue
											SCREAMING_SNAKE_CASE__								=   len(__A		)
											for state_dict_type in FSDP_STATE_DICT_TYPE:
													SCREAMING_SNAKE_CASE__								=   cmd_config[:state_dict_config_index]
													cmd_config.append(f'''--fsdp_state_dict_type={state_dict_type}'''		)
													cmd_config.extend(
													    [
													        self.test_file_path,
													        f'''--output_dir={self.tmpdir}''',
													        """--partial_train_epoch=1""",
													    ]		)
													with patch_environment(omp_num_threads=1		):
															execute_subprocess_async(__A				,					env=os.environ.copy()		)

													SCREAMING_SNAKE_CASE__								=   cmd_config[:-1]
													SCREAMING_SNAKE_CASE__								=   os.path.join(self.tmpdir				,					"""epoch_0"""		)
													cmd_config.extend(
													    [
													        f'''--resume_from_checkpoint={resume_from_checkpoint}''',
													    ]		)
													with patch_environment(omp_num_threads=1		):
															execute_subprocess_async(__A				,					env=os.environ.copy()		)


							def   _snake_case	(				self     :Tuple		) -> str:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   os.path.join(self.test_scripts_folder				,					"""test_peak_memory_usage.py"""		)
									SCREAMING_SNAKE_CASE__								=   [
									    """accelerate""",
									    """launch""",
									    """--num_processes=2""",
									    """--num_machines=1""",
									    """--machine_rank=0""",
									]
									for spec, peak_mem_upper_bound in self.peak_memory_usage_upper_bound.items():
											SCREAMING_SNAKE_CASE__								=   cmd.copy()
											if "fp16" in spec:
													cmd_config.extend(["""--mixed_precision=fp16"""]		)
											else:
													cmd_config.extend(["""--mixed_precision=no"""]		)

											if "multi_gpu" in spec:
													continue
											else:
													cmd_config.extend(["""--use_fsdp"""]		)
													for i, strategy in enumerate(__A		):
															if strategy.lower() in spec:
																	cmd_config.append(f'''--fsdp_sharding_strategy={i+1}'''		)
																	break

													if "cpu_offload" in spec:
															cmd_config.append("""--fsdp_offload_params=True"""		)

													for policy in FSDP_AUTO_WRAP_POLICY:
															if policy.lower() in spec:
																	cmd_config.append(f'''--fsdp_auto_wrap_policy={policy}'''		)
																	break

													if policy == "TRANSFORMER_BASED_WRAP":
															cmd_config.append("""--fsdp_transformer_layer_cls_to_wrap=BertLayer"""		)
													elif policy == "SIZE_BASED_WRAP":
															cmd_config.append("""--fsdp_min_num_params=2000"""		)

											cmd_config.extend(
											    [
											        self.test_file_path,
											        f'''--output_dir={self.tmpdir}''',
											        f'''--peak_memory_upper_bound={peak_mem_upper_bound}''',
											        f'''--n_train={self.n_train}''',
											        f'''--n_val={self.n_val}''',
											    ]		)
											with patch_environment(omp_num_threads=1		):
													execute_subprocess_async(__A				,					env=os.environ.copy()		)