




"""simple docstring"""

import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


a							      =     logging.get_logger(__name__)






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






      '''simple docstring'''


      _A     =  set()
      _A     =  []

      def parse_line(_snake_case				:   Optional[Any]				):
            for line in fp:
                  if isinstance(_snake_case							,    _snake_case				):
                        _A     =  line.decode('UTF-8'				)
                  if "warnings summary (final)" in line:
                        continue
                  # This means we are outside the body of a warning
                  elif not line.startswith(' '				):
                        # process a single warning and move it to `selected_warnings`.
                        if len(_snake_case				) > 0:
                              _A     =  '\n'.join(_snake_case				)
                              # Only keep the warnings specified in `targets`
                              if any(F''': {x}: ''' in warning for x in targets				):
                                    selected_warnings.add(_snake_case				)
                              buffer.clear()
                        continue
                  else:
                        _A     =  line.strip()
                        buffer.append(_snake_case				)

      if from_gh:
            for filename in os.listdir(_snake_case				):
                  _A     =  os.path.join(_snake_case							,    _snake_case				)
                  if not os.path.isdir(_snake_case				):
                        # read the file
                        if filename != "warnings.txt":
                              continue
                        with open(_snake_case				) as fp:
                              parse_line(_snake_case				)
      else:
            try:
                  with zipfile.ZipFile(_snake_case				) as z:
                        for filename in z.namelist():
                              if not os.path.isdir(_snake_case				):
                                    # read the file
                                    if filename != "warnings.txt":
                                          continue
                                    with z.open(_snake_case				) as fp:
                                          parse_line(_snake_case				)
            except Exception:
                  logger.warning(
                      F'''{artifact_path} is either an invalid zip file or something else wrong. This file is skipped.'''				)

      return selected_warnings






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






      '''simple docstring'''


      _A     =  set()

      _A     =  [os.path.join(_snake_case							,    _snake_case				) for p in os.listdir(_snake_case				) if (p.endswith('.zip'				) or from_gh)]
      for p in paths:
            selected_warnings.update(extract_warnings_from_single_artifact(_snake_case							,    _snake_case				)				)

      return selected_warnings


if __name__ == "__main__":






       def 		_snake_case	(   _snake_case				:   int				)       ->   Dict:






             '''simple docstring'''


             return values.split(','				)

       a							      =     argparse.ArgumentParser()
       # Required parameters
       parser.add_argument('''--workflow_run_id''', type=str, required=True, help='''A GitHub Actions workflow run id.''')
       parser.add_argument(
           '''--output_dir''',
           type=str,
           required=True,
           help='''Where to store the downloaded artifacts and other result files.''',
       )
       parser.add_argument('''--token''', default=None, type=str, help='''A token that has actions:read permission.''')
       # optional parameters
       parser.add_argument(
           '''--targets''',
           default='''DeprecationWarning,UserWarning,FutureWarning''',
           type=list_str,
           help='''Comma-separated list of target warning(s) which we want to extract.''',
       )
       parser.add_argument(
           '''--from_gh''',
           action='''store_true''',
           help='''If running from a GitHub action workflow and collecting warnings from its artifacts.''',
       )

       a							      =     parser.parse_args()

       a							      =     args.from_gh
       if from_gh:
              # The artifacts have to be downloaded using `actions/download-artifact@v3`
              pass
       else:
              os.makedirs(args.output_dir, exist_ok=True)

              # get download links
              a							      =     get_artifacts_links(args.workflow_run_id, token=args.token)
              with open(os.path.join(args.output_dir, '''artifacts.json'''), '''w''', encoding='''UTF-8''') as fp:
                     json.dump(artifacts, fp, ensure_ascii=False, indent=4)

              # download artifacts
              for idx, (name, url) in enumerate(artifacts.items()):
                     print(name)
                     print(url)
                     print('''=''' * 80)
                     download_artifact(name, url, args.output_dir, args.token)
                     # Be gentle to GitHub
                     time.sleep(1)

    # extract warnings from artifacts
       a							      =     extract_warnings(args.output_dir, args.targets)
       a							      =     sorted(selected_warnings)
       with open(os.path.join(args.output_dir, '''selected_warnings.json'''), '''w''', encoding='''UTF-8''') as fp:
              json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)








from manim import *

class 							__SCREAMING_SNAKE_CASE       (  _a							):






							def 					_lowerCamelCase		(    self	):
														UpperCamelCase__					  =      Rectangle(height=0.5	,			width=0.5	)
														UpperCamelCase__					  =      Rectangle(height=0.25	,			width=0.25	)
														UpperCamelCase__					  =      Rectangle(height=0.46	,			width=0.46	).set_stroke(width=0	)

														UpperCamelCase__					  =      [mem.copy() for i in range(6	)]
														UpperCamelCase__					  =      [mem.copy() for i in range(6	)]
														UpperCamelCase__					  =      VGroup(*__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)
														UpperCamelCase__					  =      VGroup(*__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)
														UpperCamelCase__					  =      VGroup(__lowerCAmelCase	,			__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)
														UpperCamelCase__					  =      Text("""CPU"""	,			font_size=24	)
														UpperCamelCase__					  =      Group(__lowerCAmelCase	,			__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0.5	,			aligned_edge=__lowerCAmelCase	)
														cpu.move_to([-2.5, -0.5, 0]	)
														self.add(__lowerCAmelCase	)

														UpperCamelCase__					  =      [mem.copy() for i in range(4	)]
														UpperCamelCase__					  =      VGroup(*__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)
														UpperCamelCase__					  =      Text("""GPU"""	,			font_size=24	)
														UpperCamelCase__					  =      Group(__lowerCAmelCase	,			__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0.5	,			aligned_edge=__lowerCAmelCase	)
														gpu.move_to([-1, -1, 0]	)
														self.add(__lowerCAmelCase	)

														UpperCamelCase__					  =      [mem.copy() for i in range(6	)]
														UpperCamelCase__					  =      VGroup(*__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)

														UpperCamelCase__					  =      Text("""Model"""	,			font_size=24	)
														UpperCamelCase__					  =      Group(__lowerCAmelCase	,			__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0.5	,			aligned_edge=__lowerCAmelCase	)
														model.move_to([3, -1.0, 0]	)
														self.add(__lowerCAmelCase	)

														UpperCamelCase__					  =      []
														UpperCamelCase__					  =      []
														UpperCamelCase__					  =      []

														for i, rect in enumerate(__lowerCAmelCase	):
																					rect.set_stroke(__lowerCAmelCase	)

																					UpperCamelCase__					  =      Rectangle(height=0.46 / 4	,			width=0.46 / 3	).set_stroke(width=0.0	).set_fill(__lowerCAmelCase	,			opacity=0.7	)

																					if i == 0:
																												cpu_target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT	)	,			buff=0.02	,			direction=__lowerCAmelCase	)
																												cpu_target.set_x(cpu_target.get_x() + 0.1	)
																					elif i == 3:
																												cpu_target.next_to(model_cpu_arr[0]	,			direction=__lowerCAmelCase	,			buff=0.0	)
																					else:
																												cpu_target.next_to(model_cpu_arr[i - 1]	,			direction=__lowerCAmelCase	,			buff=0.0	)
																					self.add(__lowerCAmelCase	)
																					model_cpu_arr.append(__lowerCAmelCase	)

														self.add(*__lowerCAmelCase	,			*__lowerCAmelCase	,			*__lowerCAmelCase	)

														UpperCamelCase__					  =      [mem.copy() for i in range(6	)]
														UpperCamelCase__					  =      VGroup(*__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)

														UpperCamelCase__					  =      Text("""Loaded Checkpoint"""	,			font_size=24	)
														UpperCamelCase__					  =      Group(__lowerCAmelCase	,			__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0.5	,			aligned_edge=__lowerCAmelCase	)
														checkpoint.move_to([3, 0.5, 0]	)

														self.add(__lowerCAmelCase	)

														UpperCamelCase__					  =      []
														UpperCamelCase__					  =      []

														for i, rect in enumerate(__lowerCAmelCase	):
																					UpperCamelCase__					  =      fill.copy().set_fill(__lowerCAmelCase	,			opacity=0.7	)
																					target.move_to(__lowerCAmelCase	)
																					ckpt_arr.append(__lowerCAmelCase	)

																					UpperCamelCase__					  =      target.copy()
																					if i < 5:
																												cpu_target.move_to(cpu_left_col_base[i + 1]	)
																					else:
																												cpu_target.move_to(cpu_right_col_base[i - 5]	)
																					ckpt_cpu_arr.append(__lowerCAmelCase	)
														self.add(*__lowerCAmelCase	,			*__lowerCAmelCase	)

														UpperCamelCase__					  =      Square(side_length=2.2	)
														key.move_to([-5, 2, 0]	)

														UpperCamelCase__					  =      MarkupText(
														    f"""<b>Key:</b>\n\n<span fgcolor='{YELLOW}'>●</span> Empty Model"""	,			font_size=18	,			)

														key_text.move_to([-5, 2.4, 0]	)

														self.add(__lowerCAmelCase	,			__lowerCAmelCase	)

														UpperCamelCase__					  =      MarkupText(
														    f"""<span fgcolor='{BLUE}'>●</span> Checkpoint"""	,			font_size=18	,			)

														blue_text.next_to(__lowerCAmelCase	,			DOWN * 2.4	,			aligned_edge=key_text.get_left()	)
														self.add(__lowerCAmelCase	)

														UpperCamelCase__					  =      MarkupText(
														    f"""Based on the passed in configuration, weights are stored in\na variety of np.memmaps on disk or to a particular device."""	,			font_size=24	,			)
														step_a.move_to([2, 2, 0]	)

														UpperCamelCase__					  =      [meta_mem.copy() for i in range(6	)]
														UpperCamelCase__					  =      [meta_mem.copy() for i in range(6	)]
														UpperCamelCase__					  =      VGroup(*__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)
														UpperCamelCase__					  =      VGroup(*__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)
														UpperCamelCase__					  =      VGroup(__lowerCAmelCase	,			__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0	)
														UpperCamelCase__					  =      Text("""Disk"""	,			font_size=24	)
														UpperCamelCase__					  =      Group(__lowerCAmelCase	,			__lowerCAmelCase	).arrange(__lowerCAmelCase	,			buff=0.5	,			aligned_edge=__lowerCAmelCase	)
														disk.move_to([-4.0, -1.25, 0]	)
														self.play(Write(__lowerCAmelCase	,			run_time=3	)	,			Write(__lowerCAmelCase	,			run_time=1	)	,			Create(__lowerCAmelCase	,			run_time=1	)	)

														UpperCamelCase__					  =      []
														for i, rect in enumerate(__lowerCAmelCase	):
																					UpperCamelCase__					  =      rect.copy()
																					target.generate_target()
																					target.target.move_to(disk_left_col_base[i]	).scale(0.5	)
																					animations.append(MoveToTarget(__lowerCAmelCase	,			run_time=1.5	)	)
														self.play(*__lowerCAmelCase	)

														self.play(FadeOut(__lowerCAmelCase	)	)

														UpperCamelCase__					  =      MarkupText(f"""Then, the checkpoint is removed from memory\nthrough garbage collection."""	,			font_size=24	)
														step_a.move_to([2, 2, 0]	)

														self.play(Write(__lowerCAmelCase	,			run_time=3	)	)

														self.play(
														    FadeOut(__lowerCAmelCase	,			__lowerCAmelCase	,			*__lowerCAmelCase	,			*__lowerCAmelCase	)	,			)

														self.wait()




