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How to use set_json method in localstack

Best Python code snippet using localstack_python

mix_sets.py

Source:mix_sets.py

1import json2import os3import sys4from collections import defaultdict5usage_text = """6This script creates a coco annotation file by mixing one or more existing annotation files.7Usage: python data/scripts/mix_sets.py output_name [set1 range1 [set2 range2 [...]]]8To use, specify the output annotation name and any number of set + range pairs, where the sets9are in the form instances_<set_name>.json and ranges are python-evalable ranges. The resulting10json will be spit out as instances_<output_name>.json in the same folder as the input sets.11For instance,12    python data/scripts/mix_sets.py trainval35k train2014 : val2014 :-500013This will create an instance_trainval35k.json file with all images and corresponding annotations14from train2014 and the first 35000 images from val2014.15You can also specify only one set:16    python data/scripts/mix_sets.py minival5k val2014 -5000:17This will take the last 5k images from val2014 and put it in instances_minival5k.json.18"""19annotations_path = 'data/coco/annotations/instances_%s.json'20fields_to_combine = ('images', 'annotations')21fields_to_steal   = ('info', 'categories', 'licenses')22if __name__ == '__main__':23	if len(sys.argv) < 4 or len(sys.argv) % 2 != 0:24		print(usage_text)25		exit()26	out_name = sys.argv[1]27	sets = sys.argv[2:]28	sets = [(sets[2*i], sets[2*i+1]) for i in range(len(sets)//2)]29	out = {x: [] for x in fields_to_combine}30	for idx, (set_name, range_str) in enumerate(sets):31		print('Loading set %s...' % set_name)32		with open(annotations_path % set_name, 'r') as f:33			set_json = json.load(f)34		# "Steal" some fields that don't need to be combined from the first set35		if idx == 0:36			for field in fields_to_steal:37				out[field] = set_json[field]38		39		print('Building image index...')40		image_idx = {x['id']: x for x in set_json['images']}41		print('Collecting annotations...')42		anns_idx = defaultdict(lambda: [])43		for ann in set_json['annotations']:44			anns_idx[ann['image_id']].append(ann)45		export_ids = list(image_idx.keys())46		export_ids.sort()47		export_ids = eval('export_ids[%s]' % range_str, {}, {'export_ids': export_ids})48		print('Adding %d images...' % len(export_ids))49		for _id in export_ids:50			out['images'].append(image_idx[_id])51			out['annotations'] += anns_idx[_id]52		print('Done.\n')53	print('Saving result...')54	with open(annotations_path % (out_name), 'w') as out_file:...

set_wrapper.py

Source:set_wrapper.py

1from utils import nft_utils2from utils.nft_errors import NFTError, Error3from parsers import set_parser4def list_all_sets():5    return set_parser.parse_sets(nft_utils.nft_list_ruleset(nna=True))6def get_set(set_id):7    sets = list_all_sets()8    return set_parser.parse_set(set_id, sets)9def create_set(set_json):10    set_json['family'], set_json['table'] = set_json['table'].split(':')11    cmd_string = 'add set {family} {table} {name} {{ type {dataType}; }}'.format(**set_json)12    cmd = nft_utils.nft_command(cmd_string)13    cmd_result = cmd.wait()14    if cmd_result == 0:15        nft_utils.close_nft_command(cmd)16        set = set_json17        set['id'] = '{family}:{table}:{name}'.format(**set_json)18        set['items'] = set['items'] if set['items'] else None19        set['table'] = set['family'] + ':' + set['table']20        return set21    else:22        raise NFTError(Error(cmd.stdout.readlines()))23def update_set(set_json):24    set_json['family'], set_json['table'] = set_json['table'].split(':')25    if set_json['items']:26        cmd_string = 'add element {family} {table} {name} {{ {items} }}'.format(**set_json)27        cmd = nft_utils.nft_command(cmd_string)28        cmd_result = cmd.wait()29    else:30        cmd_result = 031    if cmd_result == 0:32        nft_utils.close_nft_command(cmd)33        set = set_json34        set['table'] = set['family'] + ':' + set['table']35        return set36    else:...

json_metadata_intersect.py

Source:json_metadata_intersect.py

1import csv2import os3json_folder_path = r'D:\miniGlump\RecommenderSystems\assets\extracted_content_ml-latest'4movies_csv_paths = [5    r'D:\miniGlump\RecommenderSystems\assets\ml-20m',6    r'D:\miniGlump\RecommenderSystems\assets\ml-25m',7]8set_json = set()9for name in os.listdir(json_folder_path):10    set_json.add(int(name.rstrip('.json')))11print('json: ', len(set_json))12for path in movies_csv_paths:13    set_csv = set()14    with open(path + r'\movies.csv', encoding='utf8') as f:15        reader = csv.reader(f)16        next(reader)17        for row in reader:18            set_csv.add(int(row[0]))19    print(path)...

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