'''simple docstring'''






import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			List[Any]   ,		__snake_case							:			Any=7				):
     _A    		=  None
     if token is not None:
          _A    		=  {'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

     # The id of a workflow (not of a workflow run)
     _A    		=  '636036'

     _A    		=  F'https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs'
     # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
     url += F'?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}'

     _A    		=  requests.get(__snake_case   ,		headers=__snake_case				).json()

     return result["workflow_runs"]





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			Union[str, Any]				):
     _A    		=  get_daily_ci_runs(__snake_case				)
     _A    		=  None
     for workflow_run in workflow_runs:
          if workflow_run["status"] == "completed":
               _A    		=  workflow_run['id']
               break

     return workflow_run_id





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			Union[str, Any]   ,		__snake_case							:			int   ,		__snake_case							:			List[str]				):
     _A    		=  get_last_daily_ci_runs(__snake_case				)
     if workflow_run_id is not None:
          _A    		=  get_artifacts_links(worflow_run_id=__snake_case   ,		token=__snake_case				)
          for artifact_name in artifact_names:
               if artifact_name in artifacts_links:
                    _A    		=  artifacts_links[artifact_name]
                    download_artifact(
                        artifact_name=__snake_case   ,		artifact_url=__snake_case   ,		output_dir=__snake_case   ,		token=__snake_case				)





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			Union[str, Any]   ,		__snake_case							:			List[Any]   ,		__snake_case							:			List[Any]				):
     get_last_daily_ci_artifacts(__snake_case   ,		__snake_case   ,		__snake_case				)

     _A    		=  {}
     for artifact_name in artifact_names:
          _A    		=  os.path.join(__snake_case   ,		F'{artifact_name}.zip'				)
          if os.path.isfile(__snake_case				):
               _A    		=  {}
               with zipfile.ZipFile(__snake_case				) as z:
                    for filename in z.namelist():
                         if not os.path.isdir(__snake_case				):
                              # read the file
                              with z.open(__snake_case				) as f:
                                   _A    		=  f.read().decode('UTF-8'				)

     return results




'''simple docstring'''






import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible







class lowercase_       (		unittest.TestCase			):







   """simple docstring"""

   def 	__UpperCAmelCase   (      self      :			Optional[Any]     )  ->			Dict:
        _A    		=  [
            'safety_checker/pytorch_model.bin',
            'safety_checker/model.safetensors',
            'vae/diffusion_pytorch_model.bin',
            'vae/diffusion_pytorch_model.safetensors',
            'text_encoder/pytorch_model.bin',
            'text_encoder/model.safetensors',
            'unet/diffusion_pytorch_model.bin',
            'unet/diffusion_pytorch_model.safetensors',
        ]
        self.assertTrue(is_safetensors_compatible(UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			Union[str, Any]     )  ->			Optional[Any]:
        _A    		=  [
            'unet/diffusion_pytorch_model.bin',
            'unet/diffusion_pytorch_model.safetensors',
        ]
        self.assertTrue(is_safetensors_compatible(UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			str     )  ->			Union[str, Any]:
        _A    		=  [
            'safety_checker/pytorch_model.bin',
            'safety_checker/model.safetensors',
            'vae/diffusion_pytorch_model.bin',
            'vae/diffusion_pytorch_model.safetensors',
            'text_encoder/pytorch_model.bin',
            'text_encoder/model.safetensors',
            'unet/diffusion_pytorch_model.bin',
            # Removed: 'unet/diffusion_pytorch_model.safetensors',
        ]
        self.assertFalse(is_safetensors_compatible(UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			int     )  ->			Dict:
        _A    		=  [
            'text_encoder/pytorch_model.bin',
            'text_encoder/model.safetensors',
        ]
        self.assertTrue(is_safetensors_compatible(UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			Union[str, Any]     )  ->			str:
        _A    		=  [
            'safety_checker/pytorch_model.bin',
            'safety_checker/model.safetensors',
            'vae/diffusion_pytorch_model.bin',
            'vae/diffusion_pytorch_model.safetensors',
            'text_encoder/pytorch_model.bin',
            # Removed: 'text_encoder/model.safetensors',
            'unet/diffusion_pytorch_model.bin',
            'unet/diffusion_pytorch_model.safetensors',
        ]
        self.assertFalse(is_safetensors_compatible(UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			str     )  ->			Dict:
        _A    		=  [
            'safety_checker/pytorch_model.fp16.bin',
            'safety_checker/model.fp16.safetensors',
            'vae/diffusion_pytorch_model.fp16.bin',
            'vae/diffusion_pytorch_model.fp16.safetensors',
            'text_encoder/pytorch_model.fp16.bin',
            'text_encoder/model.fp16.safetensors',
            'unet/diffusion_pytorch_model.fp16.bin',
            'unet/diffusion_pytorch_model.fp16.safetensors',
        ]
        _A    		=  'fp16'
        self.assertTrue(is_safetensors_compatible(UpperCamelCase__, variant=UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			Optional[int]     )  ->			List[str]:
        _A    		=  [
            'unet/diffusion_pytorch_model.fp16.bin',
            'unet/diffusion_pytorch_model.fp16.safetensors',
        ]
        _A    		=  'fp16'
        self.assertTrue(is_safetensors_compatible(UpperCamelCase__, variant=UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			List[str]     )  ->			List[str]:
        # pass variant but use the non-variant filenames
        _A    		=  [
            'unet/diffusion_pytorch_model.bin',
            'unet/diffusion_pytorch_model.safetensors',
        ]
        _A    		=  'fp16'
        self.assertTrue(is_safetensors_compatible(UpperCamelCase__, variant=UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			List[Any]     )  ->			Optional[Any]:
        _A    		=  [
            'safety_checker/pytorch_model.fp16.bin',
            'safety_checker/model.fp16.safetensors',
            'vae/diffusion_pytorch_model.fp16.bin',
            'vae/diffusion_pytorch_model.fp16.safetensors',
            'text_encoder/pytorch_model.fp16.bin',
            'text_encoder/model.fp16.safetensors',
            'unet/diffusion_pytorch_model.fp16.bin',
            # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
        ]
        _A    		=  'fp16'
        self.assertFalse(is_safetensors_compatible(UpperCamelCase__, variant=UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			Dict     )  ->			Union[str, Any]:
        _A    		=  [
            'text_encoder/pytorch_model.fp16.bin',
            'text_encoder/model.fp16.safetensors',
        ]
        _A    		=  'fp16'
        self.assertTrue(is_safetensors_compatible(UpperCamelCase__, variant=UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			Tuple     )  ->			str:
        # pass variant but use the non-variant filenames
        _A    		=  [
            'text_encoder/pytorch_model.bin',
            'text_encoder/model.safetensors',
        ]
        _A    		=  'fp16'
        self.assertTrue(is_safetensors_compatible(UpperCamelCase__, variant=UpperCamelCase__     )     )

   def 	__UpperCAmelCase   (      self      :			List[Any]     )  ->			int:
        _A    		=  [
            'safety_checker/pytorch_model.fp16.bin',
            'safety_checker/model.fp16.safetensors',
            'vae/diffusion_pytorch_model.fp16.bin',
            'vae/diffusion_pytorch_model.fp16.safetensors',
            'text_encoder/pytorch_model.fp16.bin',
            # 'text_encoder/model.fp16.safetensors',
            'unet/diffusion_pytorch_model.fp16.bin',
            'unet/diffusion_pytorch_model.fp16.safetensors',
        ]
        _A    		=  'fp16'
        self.assertFalse(is_safetensors_compatible(UpperCamelCase__, variant=UpperCamelCase__     )     )



