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

import requests



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE=None			):
    '''simple docstring'''







    __UpperCamelCase  :Optional[Any]    						=	None
    if token is not None:
        __UpperCamelCase  :Tuple    						=	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

    __UpperCamelCase  :int    						=	f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
    __UpperCamelCase  :Optional[int]    						=	requests.get(SCREAMING_SNAKE_CASE						,    headers=SCREAMING_SNAKE_CASE			).json()
    __UpperCamelCase  :Tuple    						=	{}

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

        for i in range(SCREAMING_SNAKE_CASE			):
            __UpperCamelCase  :int    						=	requests.get(url + f"""&page={i + 2}"""						,    headers=SCREAMING_SNAKE_CASE			).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						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE=None			):
    '''simple docstring'''







    __UpperCamelCase  :Tuple    						=	None
    if token is not None:
        __UpperCamelCase  :int    						=	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

    __UpperCamelCase  :Optional[Any]    						=	f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
    __UpperCamelCase  :Any    						=	requests.get(SCREAMING_SNAKE_CASE						,    headers=SCREAMING_SNAKE_CASE			).json()
    __UpperCamelCase  :Optional[int]    						=	{}

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

        for i in range(SCREAMING_SNAKE_CASE			):
            __UpperCamelCase  :str    						=	requests.get(url + f"""&page={i + 2}"""						,    headers=SCREAMING_SNAKE_CASE			).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						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :Optional[int]    						=	None
    if token is not None:
        __UpperCamelCase  :List[str]    						=	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

    __UpperCamelCase  :str    						=	requests.get(SCREAMING_SNAKE_CASE						,    headers=SCREAMING_SNAKE_CASE						,    allow_redirects=SCREAMING_SNAKE_CASE			)
    __UpperCamelCase  :str    						=	result.headers['''Location''']
    __UpperCamelCase  :List[str]    						=	requests.get(SCREAMING_SNAKE_CASE						,    allow_redirects=SCREAMING_SNAKE_CASE			)
    __UpperCamelCase  :Optional[int]    						=	os.path.join(SCREAMING_SNAKE_CASE						,    f"""{artifact_name}.zip"""			)
    with open(SCREAMING_SNAKE_CASE						,    '''wb'''			) as fp:
        fp.write(response.content			)



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE=None			):
    '''simple docstring'''







    __UpperCamelCase  :List[Any]    						=	[]
    __UpperCamelCase  :List[str]    						=	[]
    __UpperCamelCase  :List[str]    						=	None

    with zipfile.ZipFile(SCREAMING_SNAKE_CASE			) as z:
        for filename in z.namelist():
            if not os.path.isdir(SCREAMING_SNAKE_CASE			):
                # read the file
                if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
                    with z.open(SCREAMING_SNAKE_CASE			) as f:
                        for line in f:
                            __UpperCamelCase  :Tuple    						=	line.decode('''UTF-8'''			).strip()
                            if filename == "failures_line.txt":
                                try:
                                    # `error_line` is the place where `error` occurs
                                    __UpperCamelCase  :Optional[int]    						=	line[: line.index(''': '''			)]
                                    __UpperCamelCase  :Union[str, Any]    						=	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
                                __UpperCamelCase  :Optional[int]    						=	line[len('''FAILED '''			) :]
                                failed_tests.append(SCREAMING_SNAKE_CASE			)
                            elif filename == "job_name.txt":
                                __UpperCamelCase  :Union[str, Any]    						=	line

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

    __UpperCamelCase  :Dict    						=	None
    if job_name and job_links:
        __UpperCamelCase  :Any    						=	job_links.get(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)

    # A list with elements of the form (line of error, error, failed test)
    __UpperCamelCase  :List[str]    						=	[x + [y] + [job_link] for x, y in zip(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)]

    return result



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE=None			):
    '''simple docstring'''







    __UpperCamelCase  :int    						=	[]

    __UpperCamelCase  :List[str]    						=	[os.path.join(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			) for p in os.listdir(SCREAMING_SNAKE_CASE			) if p.endswith('''.zip'''			)]
    for p in paths:
        errors.extend(get_errors_from_single_artifact(SCREAMING_SNAKE_CASE						,    job_links=SCREAMING_SNAKE_CASE			)			)

    return errors



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE=None			):
    '''simple docstring'''







    __UpperCamelCase  :List[str]    						=	Counter()
    counter.update([x[1] for x in logs]			)
    __UpperCamelCase  :str    						=	counter.most_common()
    __UpperCamelCase  :Dict    						=	{}
    for error, count in counts:
        if error_filter is None or error not in error_filter:
            __UpperCamelCase  :str    						=	{'''count''': count, '''failed_tests''': [(x[2], x[0]) for x in logs if x[1] == error]}

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



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :Tuple    						=	test.split('''::'''			)[0]
    if test.startswith('''tests/models/'''			):
        __UpperCamelCase  :List[str]    						=	test.split('''/'''			)[2]
    else:
        __UpperCamelCase  :Tuple    						=	None

    return test



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE=None			):
    '''simple docstring'''







    __UpperCamelCase  :List[Any]    						=	[(x[0], x[1], get_model(x[2]			)) for x in logs]
    __UpperCamelCase  :int    						=	[x for x in logs if x[2] is not None]
    __UpperCamelCase  :List[str]    						=	{x[2] for x in logs}

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

    __UpperCamelCase  :Optional[Any]    						=	dict(sorted(r.items()						,    key=lambda SCREAMING_SNAKE_CASE			: item[1]["count"]						,    reverse=SCREAMING_SNAKE_CASE			)			)
    return r



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :int    						=	'''| no. | error | status |'''
    __UpperCamelCase  :Dict    						=	'''|-:|:-|:-|'''
    __UpperCamelCase  :List[Any]    						=	[header, sep]
    for error in reduced_by_error:
        __UpperCamelCase  :List[Any]    						=	reduced_by_error[error]['''count''']
        __UpperCamelCase  :Any    						=	f"""| {count} | {error[:100]} |  |"""
        lines.append(SCREAMING_SNAKE_CASE			)

    return "\n".join(SCREAMING_SNAKE_CASE			)



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :str    						=	'''| model | no. of errors | major error | count |'''
    __UpperCamelCase  :Union[str, Any]    						=	'''|-:|-:|-:|-:|'''
    __UpperCamelCase  :int    						=	[header, sep]
    for model in reduced_by_model:
        __UpperCamelCase  :List[Any]    						=	reduced_by_model[model]['''count''']
        __UpperCamelCase						, __UpperCamelCase  :Tuple    						=	list(reduced_by_model[model]['''errors'''].items()			)[0]
        __UpperCamelCase  :str    						=	f"""| {model} | {count} | {error[:60]} | {_count} |"""
        lines.append(SCREAMING_SNAKE_CASE			)

    return "\n".join(SCREAMING_SNAKE_CASE			)


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)






import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image

from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import sepia as sp
from digital_image_processing.dithering import burkes as bs
from digital_image_processing.edge_detection import canny
from digital_image_processing.filters import convolve as conv
from digital_image_processing.filters import gaussian_filter as gg
from digital_image_processing.filters import local_binary_pattern as lbp
from digital_image_processing.filters import median_filter as med
from digital_image_processing.filters import sobel_filter as sob
from digital_image_processing.resize import resize as rs

__lowercase											=      imread(r'''digital_image_processing/image_data/lena_small.jpg''')
__lowercase											=      cvtColor(img, COLOR_BGR2GRAY)



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Optional[Any]    						=	cn.convert_to_negative(SCREAMING_SNAKE_CASE			)
    # assert negative_img array for at least one True
    assert negative_img.any()



def lowerCamelCase						(     ):
    '''simple docstring'''







    with Image.open('''digital_image_processing/image_data/lena_small.jpg'''			) as img:
        # Work around assertion for response
        assert str(cc.change_contrast(SCREAMING_SNAKE_CASE						,    110			)			).startswith(
            '''<PIL.Image.Image image mode=RGB size=100x100 at'''			)



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :List[Any]    						=	canny.gen_gaussian_kernel(9						,    sigma=1.4			)
    # Assert ambiguous array
    assert resp.all()



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :List[str]    						=	imread('''digital_image_processing/image_data/lena_small.jpg'''						,    0			)
    # assert ambiguous array for all == True
    assert canny_img.all()
    __UpperCamelCase  :str    						=	canny.canny(SCREAMING_SNAKE_CASE			)
    # assert canny array for at least one True
    assert canny_array.any()



def lowerCamelCase						(     ):
    '''simple docstring'''







    assert gg.gaussian_filter(SCREAMING_SNAKE_CASE						,    5						,    sigma=0.9			).all()



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :List[str]    						=	array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]			)
    __UpperCamelCase  :Optional[Any]    						=	conv.img_convolve(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			).astype(SCREAMING_SNAKE_CASE			)
    assert res.any()



def lowerCamelCase						(     ):
    '''simple docstring'''







    assert med.median_filter(SCREAMING_SNAKE_CASE						,    3			).any()



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase						, __UpperCamelCase  :Dict    						=	sob.sobel_filter(SCREAMING_SNAKE_CASE			)
    assert grad.any() and theta.any()



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	sp.make_sepia(SCREAMING_SNAKE_CASE						,    20			)
    assert sepia.all()



def lowerCamelCase						(     SCREAMING_SNAKE_CASE = "digital_image_processing/image_data/lena_small.jpg"			):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	bs.Burkes(imread(SCREAMING_SNAKE_CASE						,    1			)						,    120			)
    burkes.process()
    assert burkes.output_img.any()



def lowerCamelCase						(     SCREAMING_SNAKE_CASE = "digital_image_processing/image_data/lena_small.jpg"						,    ):
    '''simple docstring'''







    __UpperCamelCase  :List[str]    						=	rs.NearestNeighbour(imread(SCREAMING_SNAKE_CASE						,    1			)						,    400						,    200			)
    nn.process()
    assert nn.output.any()



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Union[str, Any]    						=	'''digital_image_processing/image_data/lena.jpg'''

    # Reading the image and converting it to grayscale.
    __UpperCamelCase  :Optional[int]    						=	imread(SCREAMING_SNAKE_CASE						,    0			)

    # Test for get_neighbors_pixel function() return not None
    __UpperCamelCase  :Optional[int]    						=	0
    __UpperCamelCase  :List[Any]    						=	0
    __UpperCamelCase  :Dict    						=	image[x_coordinate][y_coordinate]

    __UpperCamelCase  :int    						=	lbp.get_neighbors_pixel(
        SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)

    assert neighbors_pixels is not None

    # Test for local_binary_pattern function()
    # Create a numpy array as the same height and width of read image
    __UpperCamelCase  :Tuple    						=	np.zeros((image.shape[0], image.shape[1])			)

    # Iterating through the image and calculating the local binary pattern value
    # for each pixel.
    for i in range(0						,    image.shape[0]			):
        for j in range(0						,    image.shape[1]			):
            __UpperCamelCase  :Optional[int]    						=	lbp.local_binary_value(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)

    assert lbp_image.any()





