


import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command


class     __UpperCAmelCase							(       unittest.TestCase							):


     """simple docstring"""
     _lowerCamelCase   =      inspect.getfile(accelerate.test_utils							)
     _lowerCamelCase   =      os.path.sep.join(mod_file.split(os.path.sep							)[:-1] + ["""scripts""", """test_cli.py"""]							)

     _lowerCamelCase   =      ["""accelerate""", """launch"""]
     _lowerCamelCase   =      Path.home() / """.cache/huggingface/accelerate"""
     _lowerCamelCase   =      """default_config.yaml"""
     _lowerCamelCase   =      config_folder / config_file
     _lowerCamelCase   =      config_folder / """_default_config.yaml"""

     _lowerCamelCase   =      Path("""tests/test_configs"""							)


     @classmethod
     def 	snake_case_  (	cls    ):
        if cls.config_path.is_file():
           cls.config_path.rename(cls.changed_path    )


     @classmethod
     def 	snake_case_  (	cls    ):
        if cls.changed_path.is_file():
           cls.changed_path.rename(cls.config_path    )


     def 	snake_case_  (	self    ):
        __a					=  self.base_cmd
        if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
           cmd += ["--multi_gpu"]
        execute_subprocess_async(cmd + [self.test_file_path]  ,       env=os.environ.copy()    )


     def 	snake_case_  (	self    ):
        for config in sorted(self.test_config_path.glob("""**/*.yaml"""    )    ):
           with self.subTest(config_file=__A    ):
              execute_subprocess_async(
                  self.base_cmd + ["""--config_file""", str(__A    ), self.test_file_path]  ,       env=os.environ.copy()    )


     def 	snake_case_  (	self    ):
        execute_subprocess_async(["""accelerate""", """test"""]  ,       env=os.environ.copy()    )







class     __UpperCAmelCase							(       unittest.TestCase							):


     """simple docstring"""
     _lowerCamelCase   =      """test-tpu"""
     _lowerCamelCase   =      """us-central1-a"""
     _lowerCamelCase   =      """ls"""
     _lowerCamelCase   =      ["""accelerate""", """tpu-config"""]
     _lowerCamelCase   =      """cd /usr/share"""
     _lowerCamelCase   =      """tests/test_samples/test_command_file.sh"""
     _lowerCamelCase   =      """Running gcloud compute tpus tpu-vm ssh"""


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd
            + ["""--command""", self.command, """--tpu_zone""", self.tpu_zone, """--tpu_name""", self.tpu_name, """--debug"""]  ,       return_stdout=__A  ,       )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''  ,       __A  ,       )


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd
            + [
                """--config_file""",
                """tests/test_configs/0_12_0.yaml""",
                """--command""",
                self.command,
                """--tpu_zone""",
                self.tpu_zone,
                """--tpu_name""",
                self.tpu_name,
                """--debug""",
            ]  ,       return_stdout=__A  ,       )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''  ,       __A  ,       )


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--debug"""]  ,       return_stdout=__A    )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'''  ,       __A  ,       )


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--command""", self.command, """--debug"""]  ,       return_stdout=__A  ,       )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''  ,       __A  ,       )


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd
            + [
                """--config_file""",
                """tests/test_configs/latest.yaml""",
                """--command""",
                self.command,
                """--command""",
                """echo \"Hello World\"""",
                """--debug""",
            ]  ,       return_stdout=__A  ,       )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo "Hello World" --worker all'''  ,       __A  ,       )


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd
            + ["""--config_file""", """tests/test_configs/latest.yaml""", """--command_file""", self.command_file, """--debug"""]  ,       return_stdout=__A  ,       )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'''  ,       __A  ,       )


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd
            + [
                """--config_file""",
                """tests/test_configs/0_12_0.yaml""",
                """--command_file""",
                self.command_file,
                """--tpu_zone""",
                self.tpu_zone,
                """--tpu_name""",
                self.tpu_name,
                """--debug""",
            ]  ,       return_stdout=__A  ,       )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'''  ,       __A  ,       )


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--install_accelerate""", """--debug"""]  ,       return_stdout=__A  ,       )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo "hello world"; echo "this is a second command" --worker all'''  ,       __A  ,       )


     def 	snake_case_  (	self    ):
        __a					=  run_command(
            self.cmd
            + [
                """--config_file""",
                """tests/test_configs/latest.yaml""",
                """--install_accelerate""",
                """--accelerate_version""",
                """12.0.0""",
                """--debug""",
            ]  ,       return_stdout=__A  ,       )
        self.assertIn(
            f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo "hello world"; echo "this is a second command" --worker all'''  ,       __A  ,       )







import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_deebert

from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow


logging.basicConfig(level=logging.DEBUG)

SCREAMING_SNAKE_CASE							    =							logging.getLogger()




def  a   ():
   __a					=  argparse.ArgumentParser()
   parser.add_argument("""-f"""   )
   __a					=  parser.parse_args()
   return args.f


class     __UpperCAmelCase							(       __A							):


     """simple docstring"""


     def 	snake_case_  (	self    ):
        __a					=  logging.StreamHandler(sys.stdout    )
        logger.addHandler(__A    )


     def 	snake_case_  (	self  ,       __A    ):
        __a					=  get_gpu_count()

        if n_gpu > 1:
           pass
           # XXX: doesn't quite work with n_gpu > 1 https://github.com/huggingface/transformers/issues/10560
           # script = f"{self.examples_dir_str}/research_projects/deebert/run_glue_deebert.py"
           # distributed_args = f"-m torch.distributed.launch --nproc_per_node={n_gpu} {script}".split()
           # cmd = [sys.executable] + distributed_args + args
           # execute_subprocess_async(cmd, env=self.get_env())
           # XXX: test the results - need to save them first into .json file
        else:
           args.insert(0  ,       """run_glue_deebert.py"""    )
           with patch.object(__A  ,       """argv"""  ,       __A    ):
              __a					=  run_glue_deebert.main()
              for value in result.values():
                 self.assertGreaterEqual(__A  ,       0.666    )


     @slow
     @require_torch_non_multi_gpu
     def 	snake_case_  (	self    ):
        __a					=  """
            --model_type roberta
            --model_name_or_path roberta-base
            --task_name MRPC
            --do_train
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --max_seq_length 128
            --per_gpu_eval_batch_size=1
            --per_gpu_train_batch_size=8
            --learning_rate 2e-4
            --num_train_epochs 3
            --overwrite_output_dir
            --seed 42
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --save_steps 0
            --overwrite_cache
            --eval_after_first_stage
            """.split()
        self.run_and_check(__A    )

        __a					=  """
            --model_type roberta
            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --task_name MRPC
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --max_seq_length 128
            --eval_each_highway
            --eval_highway
            --overwrite_cache
            --per_gpu_eval_batch_size=1
            """.split()
        self.run_and_check(__A    )

        __a					=  """
            --model_type roberta
            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --task_name MRPC
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --max_seq_length 128
            --early_exit_entropy 0.1
            --eval_highway
            --overwrite_cache
            --per_gpu_eval_batch_size=1
            """.split()
        self.run_and_check(__A    )



