



import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock

import torch

from ..state import AcceleratorState, PartialState
from ..utils import (
    gather,
    is_bnb_available,
    is_comet_ml_available,
    is_datasets_available,
    is_deepspeed_available,
    is_mps_available,
    is_safetensors_available,
    is_tensorboard_available,
    is_torch_version,
    is_tpu_available,
    is_transformers_available,
    is_wandb_available,
    is_xpu_available,
)

def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_=False    ) ->       Any:
						try:
												UpperCAmelCase         =     os.environ[key]
						except KeyError:
												# KEY isn't set, default to `default`.
												UpperCAmelCase         =     default
						else:
												# KEY is set, convert it to True or False.
												try:
																		UpperCAmelCase         =     strtobool(lowerCamelCase_    )
												except ValueError:
																		# More values are supported, but let's keep the message simple.
																		raise ValueError(F'If set, {key} must be yes or no.'    )
						return _value


__lowerCamelCase     :							Optional[int]  							=				parse_flag_from_env("RUN_SLOW", default=False)

def    lowerCamelCase_(lowerCamelCase_    ) ->       Tuple:
						return unittest.skip("Test was skipped"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Any:
						return unittest.skipUnless(_run_slow_tests    ,   "test is slow"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Any:
						return unittest.skipUnless(not torch.cuda.is_available()    ,   "test requires only a CPU"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       str:
						return unittest.skipUnless(torch.cuda.is_available()    ,   "test requires a GPU"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Any:
						return unittest.skipUnless(is_xpu_available()    ,   "test requires a XPU"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       List[str]:
						return unittest.skipUnless(is_mps_available()    ,   "test requires a `mps` backend support in `torch`"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Optional[Any]:
						return unittest.skipUnless(
						    is_transformers_available() and is_datasets_available()    ,   "test requires the Hugging Face suite"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Dict:
						return unittest.skipUnless(is_bnb_available()    ,   "test requires the bitsandbytes library"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       str:
						return unittest.skipUnless(is_tpu_available()    ,   "test requires TPU"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       int:
						return unittest.skipUnless(torch.cuda.device_count() == 1    ,   "test requires a GPU"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Any:
						return unittest.skipUnless(torch.xpu.device_count() == 1    ,   "test requires a XPU"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       List[str]:
						return unittest.skipUnless(torch.cuda.device_count() > 1    ,   "test requires multiple GPUs"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Optional[Any]:
						return unittest.skipUnless(torch.xpu.device_count() > 1    ,   "test requires multiple XPUs"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Optional[int]:
						return unittest.skipUnless(is_safetensors_available()    ,   "test requires safetensors"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Optional[Any]:
						return unittest.skipUnless(is_deepspeed_available()    ,   "test requires DeepSpeed"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Optional[Any]:
						return unittest.skipUnless(is_torch_version(">="    ,   "1.12.0"    )    ,   "test requires torch version >= 1.12.0"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_=None    ,   lowerCamelCase_=None    ) ->       Union[str, Any]:
						if test_case is None:
												return partial(lowerCamelCase_    ,   version=lowerCamelCase_    )
						return unittest.skipUnless(is_torch_version(">="    ,   lowerCamelCase_    )    ,   F'test requires torch version >= {version}'    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Optional[int]:
						return unittest.skipUnless(is_tensorboard_available()    ,   "test requires Tensorboard"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Tuple:
						return unittest.skipUnless(is_wandb_available()    ,   "test requires wandb"    )(lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       Optional[int]:
						return unittest.skipUnless(is_comet_ml_available()    ,   "test requires comet_ml"    )(lowerCamelCase_    )


__lowerCamelCase     :							Union[str, Any]  							=				(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)

def    lowerCamelCase_(lowerCamelCase_    ) ->       Any:
						return unittest.skipUnless(
						    _atleast_one_tracker_available    ,   "test requires at least one tracker to be available and for `comet_ml` to not be installed"    ,   )(lowerCamelCase_    )





class  __magic_name__   (							unittest.TestCase						):
		lowercase      :       Union[str, Any]          =True






		@classmethod
		def SCREAMING_SNAKE_CASE_			(						cls      :     Dict      )				->					str:
								'''simple docstring'''







								UpperCAmelCase         =     tempfile.mkdtemp()






		@classmethod
		def SCREAMING_SNAKE_CASE_			(						cls      :     int      )				->					int:
								'''simple docstring'''







								if os.path.exists(cls.tmpdir      ):
														shutil.rmtree(cls.tmpdir      )







		def SCREAMING_SNAKE_CASE_			(						self      :     Optional[int]      )				->					Optional[int]:
								'''simple docstring'''







								if self.clear_on_setup:
														for path in Path(self.tmpdir      ).glob("**/*"      ):
																				if path.is_file():
																										path.unlink()
																				elif path.is_dir():
																										shutil.rmtree(UpperCamelCase__      )





class  __magic_name__   (							unittest.TestCase						):






		def SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					Optional[int]:
								'''simple docstring'''







								super().tearDown()
								# Reset the state of the AcceleratorState singleton.
								AcceleratorState._reset_state()
								PartialState._reset_state()





class  __magic_name__   (							unittest.TestCase						):






		def SCREAMING_SNAKE_CASE_			(						self      :     List[Any]				,		UpperCamelCase__      :     Union[mock.Mock, List[mock.Mock]]      )				->					List[str]:
								'''simple docstring'''







								UpperCAmelCase         =     mocks if isinstance(UpperCamelCase__				,		(tuple, list)      ) else [mocks]
								for m in self.mocks:
														m.start()
														self.addCleanup(m.stop      )

def    lowerCamelCase_(lowerCamelCase_    ) ->       List[str]:
						UpperCAmelCase         =     AcceleratorState()
						UpperCAmelCase         =     tensor[None].clone().to(state.device    )
						UpperCAmelCase         =     gather(lowerCamelCase_    ).cpu()
						UpperCAmelCase         =     tensor[0].cpu()
						for i in range(tensors.shape[0]    ):
												if not torch.equal(tensors[i]    ,   lowerCamelCase_    ):
																		return False
						return True





class  __magic_name__   :






		def __init__(						self      :     Any				,		UpperCamelCase__      :     Union[str, Any]				,		UpperCamelCase__      :     List[Any]				,		UpperCamelCase__      :     List[str]      )				->					int:
								'''simple docstring'''







								UpperCAmelCase         =     returncode
								UpperCAmelCase         =     stdout
								UpperCAmelCase         =     stderr

async def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_    ) ->       List[str]:
						while True:
												UpperCAmelCase         =     await stream.readline()
												if line:
																		callback(lowerCamelCase_    )
												else:
																		break

async def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_=None    ,   lowerCamelCase_=None    ,   lowerCamelCase_=None    ,   lowerCamelCase_=False    ,   lowerCamelCase_=False    ) ->       _RunOutput:
						if echo:
												print("\nRunning: "    ,   " ".join(lowerCamelCase_    )    )

						UpperCAmelCase         =     await asyncio.create_subprocess_exec(
						    cmd[0]    ,   *cmd[1:]    ,   stdin=lowerCamelCase_    ,   stdout=asyncio.subprocess.PIPE    ,   stderr=asyncio.subprocess.PIPE    ,   env=lowerCamelCase_    ,   )

						# note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe
						# https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait
						#
						# If it starts hanging, will need to switch to the following code. The problem is that no data
						# will be seen until it's done and if it hangs for example there will be no debug info.
						# out, err = await p.communicate()
						# return _RunOutput(p.returncode, out, err)

						UpperCAmelCase         =     []
						UpperCAmelCase         =     []

						def tee(lowerCamelCase_    ,   lowerCamelCase_    ,   lowerCamelCase_    ,   lowerCamelCase_=""    ):
												UpperCAmelCase         =     line.decode("utf-8"    ).rstrip()
												sink.append(lowerCamelCase_    )
												if not quiet:
																		print(lowerCamelCase_    ,   lowerCamelCase_    ,   file=lowerCamelCase_    )

    # XXX: the timeout doesn't seem to make any difference here
						await asyncio.wait(
						    [
						        asyncio.create_task(_read_stream(p.stdout    ,   lambda lowerCamelCase_    : tee(lowerCamelCase_    ,   lowerCamelCase_    ,   sys.stdout    ,   label="stdout:"    )    )    ),
						        asyncio.create_task(_read_stream(p.stderr    ,   lambda lowerCamelCase_    : tee(lowerCamelCase_    ,   lowerCamelCase_    ,   sys.stderr    ,   label="stderr:"    )    )    ),
						    ]    ,   timeout=lowerCamelCase_    ,   )
						return _RunOutput(await p.wait()    ,   lowerCamelCase_    ,   lowerCamelCase_    )

def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_=None    ,   lowerCamelCase_=None    ,   lowerCamelCase_=180    ,   lowerCamelCase_=False    ,   lowerCamelCase_=True    ) ->       _RunOutput:
						UpperCAmelCase         =     asyncio.get_event_loop()
						UpperCAmelCase         =     loop.run_until_complete(
						    _stream_subprocess(lowerCamelCase_    ,   env=lowerCamelCase_    ,   stdin=lowerCamelCase_    ,   timeout=lowerCamelCase_    ,   quiet=lowerCamelCase_    ,   echo=lowerCamelCase_    )    )

						UpperCAmelCase         =     " ".join(lowerCamelCase_    )
						if result.returncode > 0:
												UpperCAmelCase         =     "\n".join(result.stderr    )
												raise RuntimeError(
												    F'\'{cmd_str}\' failed with returncode {result.returncode}\n\n'
												    F'The combined stderr from workers follows:\n{stderr}'    )

						return result





class  __magic_name__   (							A__						):
		pass

def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_=False    ) ->       Optional[int]:
						try:
												UpperCAmelCase         =     subprocess.check_output(lowerCamelCase_    ,   stderr=subprocess.STDOUT    )
												if return_stdout:
																		if hasattr(lowerCamelCase_    ,   "decode"    ):
																								UpperCAmelCase         =     output.decode("utf-8"    )
																		return output
						except subprocess.CalledProcessError as e:
												raise SubprocessCallException(
												    F'Command `{" ".join(lowerCamelCase_    )}` failed with the following error:\n\n{e.output.decode()}'    ) from e








import fire

from utils import calculate_rouge, save_json

def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_    ,   lowerCamelCase_=None    ,   **lowerCamelCase_    ) ->       Optional[int]:
						UpperCAmelCase         =     [x.strip() for x in open(lowerCamelCase_    ).readlines()]
						UpperCAmelCase         =     [x.strip() for x in open(lowerCamelCase_    ).readlines()][: len(lowerCamelCase_    )]
						UpperCAmelCase         =     calculate_rouge(lowerCamelCase_    ,   lowerCamelCase_    ,   **lowerCamelCase_    )
						if save_path is not None:
												save_json(lowerCamelCase_    ,   lowerCamelCase_    ,   indent=lowerCamelCase_    )
						return metrics  # these print nicely


if __name__ == "__main__":
		fire.Fire(calculate_rouge_path)



