



import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests






def        __lowerCAmelCase		(	__lowerCamelCase						:     List[str]					, __lowerCamelCase						:     List[str]=None						)	->    Dict:
					__lowerCAmelCase						 =None
					if token is not None:
										__lowerCAmelCase						 ={"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

					__lowerCAmelCase						 =f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
					__lowerCAmelCase						 =requests.get(__lowerCamelCase					, headers=__lowerCamelCase						).json()
					__lowerCAmelCase						 ={}

					try:
										job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}						)
										__lowerCAmelCase						 =math.ceil((result["""total_count"""] - 100) / 100						)

										for i in range(__lowerCamelCase						):
															__lowerCAmelCase						 =requests.get(url + f"""&page={i + 2}"""					, headers=__lowerCamelCase						).json()
															job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}						)

										return job_links
					except Exception:
										print(f"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""						)

					return {}






def        __lowerCAmelCase		(	__lowerCamelCase						:     Any					, __lowerCamelCase						:     List[Any]=None						)	->    List[str]:
					__lowerCAmelCase						 =None
					if token is not None:
										__lowerCAmelCase						 ={"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

					__lowerCAmelCase						 =f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
					__lowerCAmelCase						 =requests.get(__lowerCamelCase					, headers=__lowerCamelCase						).json()
					__lowerCAmelCase						 ={}

					try:
										artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}						)
										__lowerCAmelCase						 =math.ceil((result["""total_count"""] - 100) / 100						)

										for i in range(__lowerCamelCase						):
															__lowerCAmelCase						 =requests.get(url + f"""&page={i + 2}"""					, headers=__lowerCamelCase						).json()
															artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}						)

										return artifacts
					except Exception:
										print(f"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""						)

					return {}






def        __lowerCAmelCase		(	__lowerCamelCase						:     List[str]					, __lowerCamelCase						:     Union[str, Any]					, __lowerCamelCase						:     Union[str, Any]					, __lowerCamelCase						:     List[Any]						)	->    Tuple:
					__lowerCAmelCase						 =None
					if token is not None:
										__lowerCAmelCase						 ={"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

					__lowerCAmelCase						 =requests.get(__lowerCamelCase					, headers=__lowerCamelCase					, allow_redirects=__lowerCamelCase						)
					__lowerCAmelCase						 =result.headers["""Location"""]
					__lowerCAmelCase						 =requests.get(__lowerCamelCase					, allow_redirects=__lowerCamelCase						)
					__lowerCAmelCase						 =os.path.join(__lowerCamelCase					, f"""{artifact_name}.zip"""						)
					with open(__lowerCamelCase					, """wb"""						) as fp:
										fp.write(response.content						)






def        __lowerCAmelCase		(	__lowerCamelCase						:     List[str]					, __lowerCamelCase						:     Dict=None						)	->    Optional[Any]:
					__lowerCAmelCase						 =[]
					__lowerCAmelCase						 =[]
					__lowerCAmelCase						 =None

					with zipfile.ZipFile(__lowerCamelCase						) as z:
										for filename in z.namelist():
															if not os.path.isdir(__lowerCamelCase						):
																				# read the file
																				if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
																									with z.open(__lowerCamelCase						) as f:
																														for line in f:
																																			__lowerCAmelCase						 =line.decode("""UTF-8"""						).strip()
																																			if filename == "failures_line.txt":
																																								try:
																																													# `error_line` is the place where `error` occurs
																																													__lowerCAmelCase						 =line[: line.index(""": """						)]
																																													__lowerCAmelCase						 =line[line.index(""": """						) + len(""": """						) :]
																																													errors.append([error_line, error]						)
																																								except Exception:
																																													# skip un-related lines
																																													pass
																																			elif filename == "summary_short.txt" and line.startswith("""FAILED """						):
																																								# `test` is the test method that failed
																																								__lowerCAmelCase						 =line[len("""FAILED """						) :]
																																								failed_tests.append(__lowerCamelCase						)
																																			elif filename == "job_name.txt":
																																								__lowerCAmelCase						 =line

					if len(__lowerCamelCase						) != len(__lowerCamelCase						):
										raise ValueError(
										    f"""`errors` and `failed_tests` should have the same number of elements. Got {len(__lowerCamelCase						)} for `errors` """
										    f"""and {len(__lowerCamelCase						)} for `failed_tests` instead. The test reports in {artifact_zip_path} have some"""
										    """ problem."""						)

					__lowerCAmelCase						 =None
					if job_name and job_links:
										__lowerCAmelCase						 =job_links.get(__lowerCamelCase					, __lowerCamelCase						)

					# A list with elements of the form (line of error, error, failed test)
					__lowerCAmelCase						 =[x + [y] + [job_link] for x, y in zip(__lowerCamelCase					, __lowerCamelCase						)]

					return result






def        __lowerCAmelCase		(	__lowerCamelCase						:     Dict					, __lowerCamelCase						:     List[Any]=None						)	->    Optional[Any]:
					__lowerCAmelCase						 =[]

					__lowerCAmelCase						 =[os.path.join(__lowerCamelCase					, __lowerCamelCase						) for p in os.listdir(__lowerCamelCase						) if p.endswith(""".zip"""						)]
					for p in paths:
										errors.extend(get_errors_from_single_artifact(__lowerCamelCase					, job_links=__lowerCamelCase						)						)

					return errors






def        __lowerCAmelCase		(	__lowerCamelCase						:     List[Any]					, __lowerCamelCase						:     str=None						)	->    Union[str, Any]:
					__lowerCAmelCase						 =Counter()
					counter.update([x[1] for x in logs]						)
					__lowerCAmelCase						 =counter.most_common()
					__lowerCAmelCase						 ={}
					for error, count in counts:
										if error_filter is None or error not in error_filter:
															__lowerCAmelCase						 ={"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

					__lowerCAmelCase						 =dict(sorted(r.items()					, key=lambda __lowerCamelCase						: item[1]["count"]					, reverse=__lowerCamelCase						)						)
					return r






def        __lowerCAmelCase		(	__lowerCamelCase						:     Dict						)	->    Any:
					__lowerCAmelCase						 =test.split("""::"""						)[0]
					if test.startswith("""tests/models/"""						):
										__lowerCAmelCase						 =test.split("""/"""						)[2]
					else:
										__lowerCAmelCase						 =None

					return test






def        __lowerCAmelCase		(	__lowerCamelCase						:     Optional[int]					, __lowerCamelCase						:     Dict=None						)	->    str:
					__lowerCAmelCase						 =[(x[0], x[1], get_model(x[2]						)) for x in logs]
					__lowerCAmelCase						 =[x for x in logs if x[2] is not None]
					__lowerCAmelCase						 ={x[2] for x in logs}

					__lowerCAmelCase						 ={}
					for test in tests:
										__lowerCAmelCase						 =Counter()
										# count by errors in `test`
										counter.update([x[1] for x in logs if x[2] == test]						)
										__lowerCAmelCase						 =counter.most_common()
										__lowerCAmelCase						 ={error: count for error, count in counts if (error_filter is None or error not in error_filter)}
										__lowerCAmelCase						 =sum(error_counts.values()						)
										if n_errors > 0:
															__lowerCAmelCase						 ={"""count""": n_errors, """errors""": error_counts}

					__lowerCAmelCase						 =dict(sorted(r.items()					, key=lambda __lowerCamelCase						: item[1]["count"]					, reverse=__lowerCamelCase						)						)
					return r






def        __lowerCAmelCase		(	__lowerCamelCase						:     Tuple						)	->    Union[str, Any]:
					__lowerCAmelCase						 ="""| no. | error | status |"""
					__lowerCAmelCase						 ="""|-:|:-|:-|"""
					__lowerCAmelCase						 =[header, sep]
					for error in reduced_by_error:
										__lowerCAmelCase						 =reduced_by_error[error]["""count"""]
										__lowerCAmelCase						 =f"""| {count} | {error[:100]} |  |"""
										lines.append(__lowerCamelCase						)

					return "\n".join(__lowerCamelCase						)






def        __lowerCAmelCase		(	__lowerCamelCase						:     List[Any]						)	->    Any:
					__lowerCAmelCase						 ="""| model | no. of errors | major error | count |"""
					__lowerCAmelCase						 ="""|-:|-:|-:|-:|"""
					__lowerCAmelCase						 =[header, sep]
					for model in reduced_by_model:
										__lowerCAmelCase						 =reduced_by_model[model]["""count"""]
										__lowerCAmelCase ,						__lowerCAmelCase						 =list(reduced_by_model[model]["""errors"""].items()						)[0]
										__lowerCAmelCase						 =f"""| {model} | {count} | {error[:60]} | {_count} |"""
										lines.append(__lowerCamelCase						)

					return "\n".join(__lowerCamelCase						)


if __name__ == "__main__":
				lowercase_													=      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.''')
				lowercase_													=      parser.parse_args()

				os.makedirs(args.output_dir, exist_ok=True)

				lowercase_													=      get_job_links(args.workflow_run_id, token=args.token)
				lowercase_													=      {}
				# To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
				# For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
				if _job_links:
								for k, v in _job_links.items():
												# This is how GitHub actions combine job names.
												if " / " in k:
																lowercase_													=      k.find(''' / ''')
																lowercase_													=      k[index + len(''' / ''') :]
												lowercase_													=      v
				with open(os.path.join(args.output_dir, '''job_links.json'''), '''w''', encoding='''UTF-8''') as fp:
								json.dump(job_links, fp, ensure_ascii=False, indent=4)

				lowercase_													=      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)

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

				lowercase_													=      get_all_errors(args.output_dir, job_links=job_links)

				# `e[1]` is the error
				lowercase_													=      Counter()
				counter.update([e[1] for e in errors])

				# print the top 30 most common test errors
				lowercase_													=      counter.most_common(30)
				for item in most_common:
								print(item)

				with open(os.path.join(args.output_dir, '''errors.json'''), '''w''', encoding='''UTF-8''') as fp:
								json.dump(errors, fp, ensure_ascii=False, indent=4)

				lowercase_													=      reduce_by_error(errors)
				lowercase_													=      reduce_by_model(errors)

				lowercase_													=      make_github_table(reduced_by_error)
				lowercase_													=      make_github_table_per_model(reduced_by_model)

				with open(os.path.join(args.output_dir, '''reduced_by_error.txt'''), '''w''', encoding='''UTF-8''') as fp:
								fp.write(sa)
				with open(os.path.join(args.output_dir, '''reduced_by_model.txt'''), '''w''', encoding='''UTF-8''') as fp:
								fp.write(sa)









from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase






def        __lowerCAmelCase		(	__lowerCamelCase						:     str						)	->    None:
					__lowerCAmelCase ,						__lowerCAmelCase						 =analyze_text(__lowerCamelCase						)
					__lowerCAmelCase						 =list(""" """ + ascii_lowercase						)
					# what is our total sum of probabilities.
					__lowerCAmelCase						 =sum(single_char_strings.values()						)

					# one length string
					__lowerCAmelCase						 =0
					# for each alpha we go in our dict and if it is in it we calculate entropy
					for ch in my_alphas:
										if ch in single_char_strings:
															__lowerCAmelCase						 =single_char_strings[ch]
															__lowerCAmelCase						 =my_str / all_sum
															my_fir_sum += prob * math.loga(__lowerCamelCase						)  # entropy formula.

    # print entropy
					print(f"""{round(-1 * my_fir_sum						):.1f}"""						)

					# two len string
					__lowerCAmelCase						 =sum(two_char_strings.values()						)
					__lowerCAmelCase						 =0
					# for each alpha (two in size) calculate entropy.
					for cha in my_alphas:
										for cha in my_alphas:
															__lowerCAmelCase						 =cha + cha
															if sequence in two_char_strings:
																				__lowerCAmelCase						 =two_char_strings[sequence]
																				__lowerCAmelCase						 =int(__lowerCamelCase						) / all_sum
																				my_sec_sum += prob * math.loga(__lowerCamelCase						)

    # print second entropy
					print(f"""{round(-1 * my_sec_sum						):.1f}"""						)

					# print the difference between them
					print(f"""{round((-1 * my_sec_sum) - (-1 * my_fir_sum)						):.1f}"""						)






def        __lowerCAmelCase		(	__lowerCamelCase						:     str						)	->    tuple[dict, dict]:
					__lowerCAmelCase						 =Counter()  # type: ignore
					__lowerCAmelCase						 =Counter()  # type: ignore
					single_char_strings[text[-1]] += 1

					# first case when we have space at start.
					two_char_strings[" " + text[0]] += 1
					for i in range(0					, len(__lowerCamelCase						) - 1						):
										single_char_strings[text[i]] += 1
										two_char_strings[text[i : i + 2]] += 1
					return single_char_strings, two_char_strings






def        __lowerCAmelCase		(	)	->    str:
					import doctest

					doctest.testmod()
					# text = (
					#     "Had repulsive dashwoods suspicion sincerity but advantage now him. Remark "
					#     "easily garret nor nay. Civil those mrs enjoy shy fat merry. You greatest "
					#     "jointure saw horrible. He private he on be imagine suppose. Fertile "
					#     "beloved evident through no service elderly is. Blind there if every no so "
					#     "at. Own neglected you preferred way sincerity delivered his attempted. To "
					#     "of message cottage windows do besides against uncivil.  Delightful "
					#     "unreserved impossible few estimating men favourable see entreaties. She "
					#     "propriety immediate was improving. He or entrance humoured likewise "
					#     "moderate. Much nor game son say feel. Fat make met can must form into "
					#     "gate. Me we offending prevailed discovery. "
					# )

					# calculate_prob(text)


if __name__ == "__main__":
				main()




