
import argparse
import os
import sys
import urllib.request
import zipfile


__magic_name__           =					['''CoLA''', '''SST''', '''MRPC''', '''QQP''', '''STS''', '''MNLI''', '''SNLI''', '''QNLI''', '''RTE''', '''WNLI''', '''diagnostic''']
__magic_name__           =					{
    '''CoLA''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4''',
    '''SST''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8''',
    '''MRPC''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc''',
    '''QQP''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5''',
    '''STS''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5''',
    '''MNLI''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce''',
    '''SNLI''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSNLI.zip?alt=media&token=4afcfbb2-ff0c-4b2d-a09a-dbf07926f4df''',
    '''QNLI''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601''',
    '''RTE''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb''',
    '''WNLI''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf''',
    '''diagnostic''': '''https://storage.googleapis.com/mtl-sentence-representations.appspot.com/tsvsWithoutLabels%2FAX.tsv?GoogleAccessId=firebase-adminsdk-0khhl@mtl-sentence-representations.iam.gserviceaccount.com&Expires=2498860800&Signature=DuQ2CSPt2Yfre0C%2BiISrVYrIFaZH1Lc7hBVZDD4ZyR7fZYOMNOUGpi8QxBmTNOrNPjR3z1cggo7WXFfrgECP6FBJSsURv8Ybrue8Ypt%2FTPxbuJ0Xc2FhDi%2BarnecCBFO77RSbfuz%2Bs95hRrYhTnByqu3U%2FYZPaj3tZt5QdfpH2IUROY8LiBXoXS46LE%2FgOQc%2FKN%2BA9SoscRDYsnxHfG0IjXGwHN%2Bf88q6hOmAxeNPx6moDulUF6XMUAaXCSFU%2BnRO2RDL9CapWxj%2BDl7syNyHhB7987hZ80B%2FwFkQ3MEs8auvt5XW1%2Bd4aCU7ytgM69r8JDCwibfhZxpaa4gd50QXQ%3D%3D''',
}

__magic_name__           =					'''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'''
__magic_name__           =					'''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'''





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase							):
    print(F"""Downloading and extracting {task}..."""							)
    snake_case__  =			F"""{task}.zip"""
    urllib.request.urlretrieve(TASKaPATH[task]      ,						__lowerCAmelCase							)
    with zipfile.ZipFile(__lowerCAmelCase							) as zip_ref:
        zip_ref.extractall(__lowerCAmelCase							)
    os.remove(__lowerCAmelCase							)
    print("\tCompleted!"							)





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase							):
    print("Processing MRPC..."							)
    snake_case__  =			os.path.join(__lowerCAmelCase      ,						"MRPC"							)
    if not os.path.isdir(__lowerCAmelCase							):
        os.mkdir(__lowerCAmelCase							)
    if path_to_data:
        snake_case__  =			os.path.join(__lowerCAmelCase      ,						"msr_paraphrase_train.txt"							)
        snake_case__  =			os.path.join(__lowerCAmelCase      ,						"msr_paraphrase_test.txt"							)
    else:
        print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN							)
        snake_case__  =			os.path.join(__lowerCAmelCase      ,						"msr_paraphrase_train.txt"							)
        snake_case__  =			os.path.join(__lowerCAmelCase      ,						"msr_paraphrase_test.txt"							)
        urllib.request.urlretrieve(__lowerCAmelCase      ,						__lowerCAmelCase							)
        urllib.request.urlretrieve(__lowerCAmelCase      ,						__lowerCAmelCase							)
    if not os.path.isfile(__lowerCAmelCase							):
        raise ValueError(F"""Train data not found at {mrpc_train_file}"""							)
    if not os.path.isfile(__lowerCAmelCase							):
        raise ValueError(F"""Test data not found at {mrpc_test_file}"""							)
    urllib.request.urlretrieve(TASKaPATH["MRPC"]      ,						os.path.join(__lowerCAmelCase      ,						"dev_ids.tsv"							)							)

    snake_case__  =			[]
    with open(os.path.join(__lowerCAmelCase      ,						"dev_ids.tsv"							)      ,						encoding="utf8"							) as ids_fh:
        for row in ids_fh:
            dev_ids.append(row.strip().split("\t"							)							)

    with open(__lowerCAmelCase      ,						encoding="utf8"							) as data_fh, open(
        os.path.join(__lowerCAmelCase      ,						"train.tsv"							)      ,						"w"      ,						encoding="utf8"							) as train_fh, open(os.path.join(__lowerCAmelCase      ,						"dev.tsv"							)      ,						"w"      ,						encoding="utf8"							) as dev_fh:
        snake_case__  =			data_fh.readline()
        train_fh.write(__lowerCAmelCase							)
        dev_fh.write(__lowerCAmelCase							)
        for row in data_fh:
            snake_case__  =			row.strip().split("\t"							)
            if [ida, ida] in dev_ids:
                dev_fh.write("%s\t%s\t%s\t%s\t%s\n" % (label, ida, ida, sa, sa)							)
            else:
                train_fh.write("%s\t%s\t%s\t%s\t%s\n" % (label, ida, ida, sa, sa)							)

    with open(__lowerCAmelCase      ,						encoding="utf8"							) as data_fh, open(
        os.path.join(__lowerCAmelCase      ,						"test.tsv"							)      ,						"w"      ,						encoding="utf8"							) as test_fh:
        snake_case__  =			data_fh.readline()
        test_fh.write("index\t#1 ID\t#2 ID\t#1 String\t#2 String\n"							)
        for idx, row in enumerate(__lowerCAmelCase							):
            snake_case__  =			row.strip().split("\t"							)
            test_fh.write("%d\t%s\t%s\t%s\t%s\n" % (idx, ida, ida, sa, sa)							)
    print("\tCompleted!"							)





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    print("Downloading and extracting diagnostic..."							)
    if not os.path.isdir(os.path.join(__lowerCAmelCase      ,						"diagnostic"							)							):
        os.mkdir(os.path.join(__lowerCAmelCase      ,						"diagnostic"							)							)
    snake_case__  =			os.path.join(__lowerCAmelCase      ,						"diagnostic"      ,						"diagnostic.tsv"							)
    urllib.request.urlretrieve(TASKaPATH["diagnostic"]      ,						__lowerCAmelCase							)
    print("\tCompleted!"							)
    return





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    snake_case__  =			task_names.split(","							)
    if "all" in task_names:
        snake_case__  =			TASKS
    else:
        snake_case__  =			[]
        for task_name in task_names:
            if task_name not in TASKS:
                raise ValueError(F"""Task {task_name} not found!"""							)
            tasks.append(__lowerCAmelCase							)
    return tasks





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    snake_case__  =			argparse.ArgumentParser()
    parser.add_argument("--data_dir"      ,						help="directory to save data to"      ,						type=__lowerCAmelCase      ,						default="glue_data"							)
    parser.add_argument(
        "--tasks"      ,						help="tasks to download data for as a comma separated string"      ,						type=__lowerCAmelCase      ,						default="all"							)
    parser.add_argument(
        "--path_to_mrpc"      ,						help="path to directory containing extracted MRPC data, msr_paraphrase_train.txt and msr_paraphrase_text.txt"      ,						type=__lowerCAmelCase      ,						default=""      ,						)
    snake_case__  =			parser.parse_args(__lowerCAmelCase							)

    if not os.path.isdir(args.data_dir							):
        os.mkdir(args.data_dir							)
    snake_case__  =			get_tasks(args.tasks							)

    for task in tasks:
        if task == "MRPC":
            format_mrpc(args.data_dir      ,						args.path_to_mrpc							)
        elif task == "diagnostic":
            download_diagnostic(args.data_dir							)
        else:
            download_and_extract(__lowerCAmelCase      ,						args.data_dir							)


if __name__ == "__main__":
     sys.exit(main(sys.argv[1:]))


from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
__magic_name__           =					[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    return [int(__lowerCAmelCase							) for c in F"""{ruleset:08}"""[:8]]





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase      ,						__lowerCAmelCase							):
    snake_case__  =			len(cells[0]							)  # 31
    snake_case__  =			[]
    for i in range(__lowerCAmelCase							):
        # Get the neighbors of each cell
        # Handle neighbours outside bounds by using 0 as their value
        snake_case__  =			0 if i == 0 else cells[time][i - 1]
        snake_case__  =			0 if i == population - 1 else cells[time][i + 1]
        # Define a new cell and add it to the new generation
        snake_case__  =			7 - int(F"""{left_neighbor}{cells[time][i]}{right_neighbor}"""      ,						2							)
        next_generation.append(rule[situation]							)
    return next_generation





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    snake_case__  =			Image.new("RGB"      ,						(len(cells[0]							), len(__lowerCAmelCase							))							)
    snake_case__  =			img.load()
    # Generates image
    for w in range(img.width							):
        for h in range(img.height							):
            snake_case__  =			255 - int(255 * cells[h][w]							)
            snake_case__  =			(color, color, color)
    return img


if __name__ == "__main__":
     __magic_name__           =					bin(int(input('''Rule:\n''').strip()))[2:]
     __magic_name__           =					format_ruleset(int(rule_num))
     for time in range(16):
          CELLS.append(new_generation(CELLS, rule, time))
     __magic_name__           =					generate_image(CELLS)
     # Uncomment to save the image
     # img.save(f"rule_{rule_num}.png")
     img.show()



