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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5445ab0135e0f3ff0f80b808bab631bc81bb1f98 | 804 | py | Python | nsapiwrapper/exceptions.py | DolphDev/nsapiwrapper | cd67be445cfc4845f822ff815f3fb265f75061c9 | [
"MIT"
] | null | null | null | nsapiwrapper/exceptions.py | DolphDev/nsapiwrapper | cd67be445cfc4845f822ff815f3fb265f75061c9 | [
"MIT"
] | null | null | null | nsapiwrapper/exceptions.py | DolphDev/nsapiwrapper | cd67be445cfc4845f822ff815f3fb265f75061c9 | [
"MIT"
] | null | null | null | """Exceptions for this library"""
| 18.272727 | 46 | 0.705224 |
544703b0ead742e49b1d2aa2223e76a2cd97299b | 62,639 | py | Python | src.py | edbezci/mapOverlayHumanoid | 95d5e16fb983a7384abea6f51599483274ff0f62 | [
"MIT"
] | null | null | null | src.py | edbezci/mapOverlayHumanoid | 95d5e16fb983a7384abea6f51599483274ff0f62 | [
"MIT"
] | null | null | null | src.py | edbezci/mapOverlayHumanoid | 95d5e16fb983a7384abea6f51599483274ff0f62 | [
"MIT"
] | null | null | null | # lines 1-4 imports the necessary libraries
import pygame
import os
import random
import math
import sys
import hlp
import intro
import dsb # this is the last module with the description files
'''
declaring some global variables beacause in Python, we can set global variables that can be used in future functions
se... | 56.279425 | 200 | 0.61765 |
544732e628a00b56caac8c9cd412468f1e74169a | 8,514 | py | Python | iologik/e2210.py | shannon-jia/iologik | bda254ee1cdb3f4d724fbb9d6fe993257f1cce52 | [
"MIT"
] | null | null | null | iologik/e2210.py | shannon-jia/iologik | bda254ee1cdb3f4d724fbb9d6fe993257f1cce52 | [
"MIT"
] | null | null | null | iologik/e2210.py | shannon-jia/iologik | bda254ee1cdb3f4d724fbb9d6fe993257f1cce52 | [
"MIT"
] | null | null | null | import aiohttp
import asyncio
import async_timeout
import logging
from collections import namedtuple, deque
from .events import Events
from html.parser import HTMLParser
log = logging.getLogger(__name__)
| 38.7 | 161 | 0.499765 |
5448e80da68c244752c3380cbc4f039308ae3d65 | 7,009 | py | Python | apps/cmdb/verify/operate.py | yanshicheng/super-ops | dd39fe971bfd0f912cab155b82e41a09aaa47892 | [
"Apache-2.0"
] | null | null | null | apps/cmdb/verify/operate.py | yanshicheng/super-ops | dd39fe971bfd0f912cab155b82e41a09aaa47892 | [
"Apache-2.0"
] | 1 | 2022-01-17T09:34:14.000Z | 2022-01-18T13:32:20.000Z | apps/cmdb/verify/operate.py | yanshicheng/super_ops | dd39fe971bfd0f912cab155b82e41a09aaa47892 | [
"Apache-2.0"
] | null | null | null | from ..models import Classify, Fields, Asset, AssetBind, ClassifyBind
from django.db.models import Q
from collections import OrderedDict
from django.forms.models import model_to_dict
def get_c_classify_bind(cid):
""" classify_id """
parent_bind_obj = ClassifyBind.objects.filter(child_classify_... | 31.859091 | 89 | 0.610786 |
544b2254aa27aedc58e9f1dae64e313ac23e420d | 525 | py | Python | glass/mirror.py | fwcd/glass | eba5321753a41e4ebb28f6933ec554c104cb0f4c | [
"MIT"
] | 2 | 2021-02-01T23:06:35.000Z | 2022-01-12T15:39:30.000Z | glass/mirror.py | fwcd/glass | eba5321753a41e4ebb28f6933ec554c104cb0f4c | [
"MIT"
] | 1 | 2022-03-18T04:07:58.000Z | 2022-03-19T18:00:08.000Z | glass/mirror.py | fwcd/glass | eba5321753a41e4ebb28f6933ec554c104cb0f4c | [
"MIT"
] | null | null | null | import subprocess
from pathlib import Path
from urllib.parse import urlparse
| 35 | 88 | 0.67619 |
544bbee47e78ee286a199342f8cffdd22f773ed2 | 3,880 | py | Python | modeling/__init__.py | WinstonHuTiger/BOEMD-UNet | f81a0506b8b8a90fd783afcda61f28acb113fc77 | [
"MIT"
] | 2 | 2021-10-03T11:49:32.000Z | 2021-12-15T11:40:52.000Z | modeling/__init__.py | WinstonHuTiger/BOEMD-UNet | f81a0506b8b8a90fd783afcda61f28acb113fc77 | [
"MIT"
] | null | null | null | modeling/__init__.py | WinstonHuTiger/BOEMD-UNet | f81a0506b8b8a90fd783afcda61f28acb113fc77 | [
"MIT"
] | null | null | null | import os
import torch
from modeling.unet import *
from modeling.bAttenUnet import MDecoderUNet, MMultiBAUNet, MMultiBUNet
def build_transfer_learning_model(args, nchannels, nclass, pretrained, model='unet'):
"""
param args:
param nclass: number of classes
param pretrained: path to the pretrained mo... | 27.51773 | 85 | 0.559794 |
544c328461515102957fb6ba2f7ecaadd80e93ff | 1,356 | py | Python | A.py | JK-Incorporated/EYN-DOS | 6dc331655b5fd04e6d37651ea79ac4e204bfd52e | [
"BSD-3-Clause"
] | null | null | null | A.py | JK-Incorporated/EYN-DOS | 6dc331655b5fd04e6d37651ea79ac4e204bfd52e | [
"BSD-3-Clause"
] | null | null | null | A.py | JK-Incorporated/EYN-DOS | 6dc331655b5fd04e6d37651ea79ac4e204bfd52e | [
"BSD-3-Clause"
] | null | null | null | import os
from os import listdir
from os.path import isfile, join
dir_path = os.path.dirname(os.path.realpath(__file__))
filesys = [f for f in listdir(dir_path) if isfile(join(dir_path, f))]
size=0
for path, dirs, files in os.walk(dir_path):
for f in files:
fp = os.path.join(path, f)
size += os.p... | 22.229508 | 69 | 0.526549 |
544ec34dfb38023e11066f7adf551926d37772c9 | 3,111 | py | Python | api_site/src/api_x/application/entry/bankcard_views.py | webee/pay | b48c6892686bf3f9014bb67ed119506e41050d45 | [
"W3C"
] | 1 | 2019-10-14T11:51:49.000Z | 2019-10-14T11:51:49.000Z | api_site/src/api_x/application/entry/bankcard_views.py | webee/pay | b48c6892686bf3f9014bb67ed119506e41050d45 | [
"W3C"
] | null | null | null | api_site/src/api_x/application/entry/bankcard_views.py | webee/pay | b48c6892686bf3f9014bb67ed119506e41050d45 | [
"W3C"
] | null | null | null | # coding=utf-8
from __future__ import unicode_literals
from api_x.utils import response
from api_x.utils.entry_auth import verify_request
from flask import request
from . import application_mod as mod
from .. import dba
from .. import bankcard
from api_x.utils.parser import to_bool
from pytoolbox.util.log import get_l... | 34.566667 | 104 | 0.724204 |
544eed2f5a6fd341973e64324b8db14d8a1824d5 | 2,928 | py | Python | httpd/httpd.py | protocollabs/dmprd | c39e75532ae73458b8239b2d21ca69e42b68929f | [
"MIT"
] | 1 | 2018-09-05T08:16:00.000Z | 2018-09-05T08:16:00.000Z | httpd/httpd.py | protocollabs/dmprd | c39e75532ae73458b8239b2d21ca69e42b68929f | [
"MIT"
] | 8 | 2017-01-08T19:11:16.000Z | 2018-09-24T12:20:40.000Z | httpd/httpd.py | protocollabs/dmprd | c39e75532ae73458b8239b2d21ca69e42b68929f | [
"MIT"
] | 2 | 2017-08-23T12:41:02.000Z | 2018-08-17T08:11:35.000Z | import asyncio
import os
try:
from aiohttp import web
except ImportError:
web = None
| 34.046512 | 100 | 0.565574 |
5451d6245307e0c41240f5d6be7ea9013b165899 | 196 | py | Python | SImple-Number.py | TonikaHristova/Loops | 55b3f1608cf81d185fe98366450b527350d86f3b | [
"MIT"
] | null | null | null | SImple-Number.py | TonikaHristova/Loops | 55b3f1608cf81d185fe98366450b527350d86f3b | [
"MIT"
] | null | null | null | SImple-Number.py | TonikaHristova/Loops | 55b3f1608cf81d185fe98366450b527350d86f3b | [
"MIT"
] | null | null | null | import math
num = int(input())
is_prime = True
if num < 2:
print("Not prime")
for i in range(2, int(math.sqrt(num)+1)):
if num / i == 0:
is_prime = False
print(is_prime)
| 9.8 | 41 | 0.571429 |
54520f95709f73e2e760152d29139cc05ba229e9 | 218 | py | Python | badgify/apps.py | BrendanBerkley/django-badgify | 61203e92cb76982f778caf168d371a72a401db10 | [
"MIT"
] | null | null | null | badgify/apps.py | BrendanBerkley/django-badgify | 61203e92cb76982f778caf168d371a72a401db10 | [
"MIT"
] | null | null | null | badgify/apps.py | BrendanBerkley/django-badgify | 61203e92cb76982f778caf168d371a72a401db10 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 19.818182 | 42 | 0.674312 |
545268aad6cd438a8b86741579655c5f5b28ba41 | 249 | py | Python | test/test_i18n.py | timgates42/uliweb | 80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1 | [
"BSD-2-Clause"
] | 202 | 2015-01-12T08:10:48.000Z | 2021-11-08T09:04:32.000Z | test/test_i18n.py | timgates42/uliweb | 80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1 | [
"BSD-2-Clause"
] | 30 | 2015-01-01T09:07:17.000Z | 2021-06-03T12:58:45.000Z | test/test_i18n.py | timgates42/uliweb | 80c0459c5e5d257b665eb2e1d0b5f68ad55c42f1 | [
"BSD-2-Clause"
] | 58 | 2015-01-12T03:28:54.000Z | 2022-01-14T01:58:08.000Z | from uliweb.i18n import ugettext_lazy as _
def test_1():
"""
>>> x = _('Hello')
>>> print repr(x)
ugettext_lazy('Hello')
"""
def test_1():
"""
>>> x = _('Hello {0}')
>>> print x.format('name')
Hello name
""" | 16.6 | 42 | 0.48996 |
545316d49d38f35bdeec6536c47e60475a119d98 | 1,041 | py | Python | KeyBoardControlImageCaptue.py | Prashant-1305/Tello-Drone | 11c3f845a9887c66ac7e52e042dfd28f23555d2e | [
"MIT"
] | null | null | null | KeyBoardControlImageCaptue.py | Prashant-1305/Tello-Drone | 11c3f845a9887c66ac7e52e042dfd28f23555d2e | [
"MIT"
] | null | null | null | KeyBoardControlImageCaptue.py | Prashant-1305/Tello-Drone | 11c3f845a9887c66ac7e52e042dfd28f23555d2e | [
"MIT"
] | null | null | null | import KeyPressModule as kp
from djitellopy import tello
import time
import cv2
global img
kp.init()
skynet = tello.Tello()
skynet.connect()
print(skynet.get_battery())
skynet.streamon()
while True:
keyVals = getKeyboardInput()
skynet.send_rc_control(keyVals[0], keyVals[1], keyVals[2], keyVals[3])
img ... | 22.148936 | 74 | 0.616715 |
545376512fee3de8e6da4487e774ee09c7ad912d | 1,479 | py | Python | cnns/foolbox/foolbox_2_3_0/tests/test_model_zoo.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 12 | 2021-07-27T07:18:24.000Z | 2022-03-09T13:52:20.000Z | cnns/foolbox/foolbox_2_3_0/tests/test_model_zoo.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 2 | 2021-08-03T09:21:33.000Z | 2021-12-29T14:25:30.000Z | cnns/foolbox/foolbox_2_3_0/tests/test_model_zoo.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 3 | 2021-11-18T14:46:40.000Z | 2022-01-03T15:47:23.000Z | from foolbox import zoo
import numpy as np
import foolbox
import sys
import pytest
from foolbox.zoo.model_loader import ModelLoader
from os.path import join, dirname
test_data = [
# private repo won't work on travis
# ('https://github.com/bethgelab/AnalysisBySynthesis.git', (1, 28, 28)),
# ('https://gith... | 27.90566 | 76 | 0.694388 |
54538684df9453f633582e0d87edd283242082a7 | 8,464 | py | Python | tests/unit/nistbeacon/test_nistbeacon.py | urda/py_nist_beacon | 0251970ec31bc370c326c4c3c3b93a5513bdc028 | [
"Apache-2.0"
] | 11 | 2017-05-06T02:42:34.000Z | 2021-02-11T10:13:09.000Z | tests/unit/nistbeacon/test_nistbeacon.py | urda/nistbeacon | 0251970ec31bc370c326c4c3c3b93a5513bdc028 | [
"Apache-2.0"
] | 31 | 2015-12-13T12:04:10.000Z | 2021-01-27T02:34:34.000Z | tests/unit/nistbeacon/test_nistbeacon.py | urda/py_nist_beacon | 0251970ec31bc370c326c4c3c3b93a5513bdc028 | [
"Apache-2.0"
] | 1 | 2015-12-25T03:50:25.000Z | 2015-12-25T03:50:25.000Z | """
Copyright 2015-2017 Peter Urda
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, softwar... | 34.129032 | 79 | 0.69258 |
54539ddc987a464c0db1b706648667e1f538fd7a | 5,417 | py | Python | aae/auto_pose/visualization/render_pose.py | shbe-aau/multi-pose-estimation | 0425ed9dcc7969f0281cb435615abc33c640e157 | [
"MIT"
] | 4 | 2021-12-28T09:25:06.000Z | 2022-01-13T12:55:44.000Z | aae/auto_pose/visualization/render_pose.py | shbe-aau/multi-view-pose-estimation | 22cea6cd09684fe655fb2214bc14856f589048e1 | [
"MIT"
] | null | null | null | aae/auto_pose/visualization/render_pose.py | shbe-aau/multi-view-pose-estimation | 22cea6cd09684fe655fb2214bc14856f589048e1 | [
"MIT"
] | 1 | 2022-01-13T13:00:15.000Z | 2022-01-13T13:00:15.000Z |
import cv2
import numpy as np
import os
from auto_pose.meshrenderer import meshrenderer
from auto_pose.ae.utils import lazy_property
| 47.517544 | 158 | 0.567288 |
5454b8f602a3ea5235a7102af61b547b5c4c3b31 | 1,128 | py | Python | client/nodes/common/docker_subsriber.py | CanboYe/BusEdge | 2e53e1d1d82559fc3e9f0029b2f0faf4e356b210 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 2 | 2021-08-17T14:14:28.000Z | 2022-02-02T02:09:33.000Z | client/nodes/common/docker_subsriber.py | cmusatyalab/gabriel-BusEdge | 528a6ee337882c6e709375ecd7ec7e201083c825 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | client/nodes/common/docker_subsriber.py | cmusatyalab/gabriel-BusEdge | 528a6ee337882c6e709375ecd7ec7e201083c825 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1 | 2021-09-01T16:18:29.000Z | 2021-09-01T16:18:29.000Z | # SPDX-FileCopyrightText: 2021 Carnegie Mellon University
#
# SPDX-License-Identifier: Apache-2.0
import cv2
import numpy as np
import rospy
from gabriel_protocol import gabriel_pb2
from std_msgs.msg import UInt8MultiArray
| 29.684211 | 72 | 0.720745 |
54562608a59ce9476a71d70e032f5d5bf8f6d75b | 138 | py | Python | datx/base_station.py | ipipdotnet/datx-python | 68d6e99363abc6ae48714be38aa90a5ae6e20fd4 | [
"Apache-2.0"
] | 39 | 2018-03-13T02:48:36.000Z | 2021-03-18T07:51:54.000Z | datx/base_station.py | ipipdotnet/datx-python | 68d6e99363abc6ae48714be38aa90a5ae6e20fd4 | [
"Apache-2.0"
] | 1 | 2018-11-06T08:30:31.000Z | 2018-11-06T08:30:31.000Z | datx/base_station.py | ipipdotnet/datx-python | 68d6e99363abc6ae48714be38aa90a5ae6e20fd4 | [
"Apache-2.0"
] | 10 | 2018-04-28T02:07:08.000Z | 2020-11-09T04:26:47.000Z | # -*- coding: utf-8 -*-
"""
:copyright: 2018 by IPIP.net
"""
from .district import District | 15.333333 | 33 | 0.623188 |
5456722cbb51619ad54be3201718c3cfa01f24c7 | 13,034 | py | Python | cogs/user.py | billydevyt/RoboBilly | 6d79ab9626a6d6b487dd73688ad7187212e7864c | [
"MIT"
] | 6 | 2020-11-07T16:46:18.000Z | 2021-01-03T11:52:39.000Z | cogs/user.py | billyeatcookies/RoboBilly | 6d79ab9626a6d6b487dd73688ad7187212e7864c | [
"MIT"
] | 3 | 2020-11-30T01:52:41.000Z | 2021-01-03T11:53:18.000Z | cogs/user.py | billyeatcookies/RoboBilly | 6d79ab9626a6d6b487dd73688ad7187212e7864c | [
"MIT"
] | 7 | 2021-04-17T07:27:58.000Z | 2021-08-31T15:21:42.000Z | """
User module
"""
import discord
import random
import asyncio
from discord.ext import commands
from discord.ext.commands import has_permissions, MissingPermissions, BadArgument
import requests, json, pyfiglet
from datetime import timedelta, datetime
#===================================== ADD COG ================... | 43.15894 | 490 | 0.603192 |
5459131a00c531976bbf1bad787c4cbce19610f5 | 622 | py | Python | wsu/tools/simx/simx/python/simx/protomap/util.py | tinyos-io/tinyos-3.x-contrib | 3aaf036722a2afc0c0aad588459a5c3e00bd3c01 | [
"BSD-3-Clause",
"MIT"
] | 1 | 2020-02-28T20:35:09.000Z | 2020-02-28T20:35:09.000Z | wsu/tools/simx/simx/python/simx/protomap/util.py | tinyos-io/tinyos-3.x-contrib | 3aaf036722a2afc0c0aad588459a5c3e00bd3c01 | [
"BSD-3-Clause",
"MIT"
] | null | null | null | wsu/tools/simx/simx/python/simx/protomap/util.py | tinyos-io/tinyos-3.x-contrib | 3aaf036722a2afc0c0aad588459a5c3e00bd3c01 | [
"BSD-3-Clause",
"MIT"
] | null | null | null | def sync_read(socket, size):
"""
Perform a (temporary) blocking read.
The amount read may be smaller than the amount requested if a
timeout occurs.
"""
timeout = socket.gettimeout()
socket.settimeout(None)
try:
return socket.recv(size)
finally:
socket.settimeout(time... | 22.214286 | 65 | 0.607717 |
545b4ee6fb3b667ccf9bf2aadc9dfb4077e4dee6 | 976 | py | Python | mergeKsortedlist.py | ZhouLihua/leetcode | 7a711e450756fb7b5648e938879d690e583f5957 | [
"MIT"
] | 2 | 2019-05-16T03:11:44.000Z | 2019-10-25T03:20:05.000Z | mergeKsortedlist.py | ZhouLihua/leetcode | 7a711e450756fb7b5648e938879d690e583f5957 | [
"MIT"
] | null | null | null | mergeKsortedlist.py | ZhouLihua/leetcode | 7a711e450756fb7b5648e938879d690e583f5957 | [
"MIT"
] | null | null | null | #Definition for singly-linked list.
import sys
| 27.885714 | 50 | 0.482582 |
545c039475e437fcfe31a7978e08b358e2864ddd | 1,334 | py | Python | f5/bigip/tm/vcmp/test/unit/test_virtual_disk.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 272 | 2016-02-23T06:05:44.000Z | 2022-02-20T02:09:32.000Z | f5/bigip/tm/vcmp/test/unit/test_virtual_disk.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 1,103 | 2016-02-11T17:48:03.000Z | 2022-02-15T17:13:37.000Z | f5/bigip/tm/vcmp/test/unit/test_virtual_disk.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 167 | 2016-02-11T17:48:21.000Z | 2022-01-17T20:13:05.000Z | # Copyright 2017 F5 Networks 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 writi... | 29.644444 | 74 | 0.749625 |
545c6c254ab620127f5ce9a6e6a0f63adc08b458 | 1,281 | py | Python | tinylinks/admin.py | lavindiuss/django-shorter | 50bc018e762b396cd9bc71991f6ea1329aaceddd | [
"MIT"
] | null | null | null | tinylinks/admin.py | lavindiuss/django-shorter | 50bc018e762b396cd9bc71991f6ea1329aaceddd | [
"MIT"
] | null | null | null | tinylinks/admin.py | lavindiuss/django-shorter | 50bc018e762b396cd9bc71991f6ea1329aaceddd | [
"MIT"
] | null | null | null | """Admin sites for the ``django-tinylinks`` app."""
from django.contrib import admin
from django.template.defaultfilters import truncatechars
from django.utils.translation import ugettext_lazy as _
from django.template.loader import render_to_string
from tinylinks.forms import TinylinkAdminForm
from tinylinks.models ... | 28.466667 | 76 | 0.699454 |
545c8aae9bf713a7f6422a8269de2049905dd92f | 562 | py | Python | wk11frontend.py | alvaro-root/pa2_2021 | fee3931f9e10a7d39af9bf2ce5f033e41621bbda | [
"MIT"
] | null | null | null | wk11frontend.py | alvaro-root/pa2_2021 | fee3931f9e10a7d39af9bf2ce5f033e41621bbda | [
"MIT"
] | null | null | null | wk11frontend.py | alvaro-root/pa2_2021 | fee3931f9e10a7d39af9bf2ce5f033e41621bbda | [
"MIT"
] | null | null | null | import requests
import json
if __name__ == "__main__":
main()
| 21.615385 | 82 | 0.551601 |
545fd8631d933f37ee5ed9022359f6f1a7a06f4b | 73 | py | Python | software/python/XilinxKcu1500Pgp3/__init__.py | ejangelico/cryo-on-epix-hr-dev | 354bf205a67d3c43b4e815823dd78cec85d3b672 | [
"BSD-3-Clause-LBNL"
] | 1 | 2021-05-24T22:01:54.000Z | 2021-05-24T22:01:54.000Z | software/python/XilinxKcu1500Pgp3/__init__.py | ejangelico/cryo-on-epix-hr-dev | 354bf205a67d3c43b4e815823dd78cec85d3b672 | [
"BSD-3-Clause-LBNL"
] | 1 | 2021-02-25T20:27:36.000Z | 2021-03-31T17:55:08.000Z | software/python/XilinxKcu1500Pgp3/__init__.py | ejangelico/cryo-on-epix-hr-dev | 354bf205a67d3c43b4e815823dd78cec85d3b672 | [
"BSD-3-Clause-LBNL"
] | 4 | 2020-10-21T21:39:37.000Z | 2021-07-24T02:19:34.000Z | #!/usr/bin/env python
from XilinxKcu1500Pgp3.XilinxKcu1500Pgp3 import *
| 18.25 | 49 | 0.808219 |
545fe80c1b80eb166756266947e1f74465ae48f6 | 2,517 | py | Python | files/files.py | StevenKangWei/tools | f0de7d2202dbe979b06ba8344addad6df6e96320 | [
"MIT"
] | 15 | 2021-07-06T13:03:09.000Z | 2022-03-05T04:18:13.000Z | files/files.py | StevenKangWei/tools | f0de7d2202dbe979b06ba8344addad6df6e96320 | [
"MIT"
] | 1 | 2021-12-03T05:39:24.000Z | 2021-12-03T05:39:24.000Z | files/files.py | StevenKangWei/tools | f0de7d2202dbe979b06ba8344addad6df6e96320 | [
"MIT"
] | 5 | 2021-07-30T09:31:31.000Z | 2022-01-03T06:30:25.000Z | #!/usr/bin/python
import os
import glob
import traceback
import datetime
import dandan
from flask import Flask
from flask import abort
from flask import send_file
from flask import send_from_directory
from flask import render_template
from werkzeug.routing import BaseConverter
import config
__VERSI... | 25.683673 | 90 | 0.642034 |
546042473af828587af78168aa3e36324191b2db | 2,961 | py | Python | jdcloud_sdk/services/iotcore/models/DeviceVO.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 14 | 2018-04-19T09:53:56.000Z | 2022-01-27T06:05:48.000Z | jdcloud_sdk/services/iotcore/models/DeviceVO.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 15 | 2018-09-11T05:39:54.000Z | 2021-07-02T12:38:02.000Z | jdcloud_sdk/services/iotcore/models/DeviceVO.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 33 | 2018-04-20T05:29:16.000Z | 2022-02-17T09:10:05.000Z | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# 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 ... | 43.544118 | 401 | 0.69875 |
54607def7c2c2dd5026968fee33155a24a8770a7 | 155 | py | Python | satyrus/sat/types/__init__.py | lucasvg/Satyrus3-FinalProject-EspTopsOTM | 024785752abdc46e3463d8c94df7c3da873c354d | [
"MIT"
] | null | null | null | satyrus/sat/types/__init__.py | lucasvg/Satyrus3-FinalProject-EspTopsOTM | 024785752abdc46e3463d8c94df7c3da873c354d | [
"MIT"
] | null | null | null | satyrus/sat/types/__init__.py | lucasvg/Satyrus3-FinalProject-EspTopsOTM | 024785752abdc46e3463d8c94df7c3da873c354d | [
"MIT"
] | null | null | null | from .array import Array
from .string import String
from .problem import Constraint, Loop
from .main import SatType, Var, Number
from .expr import Expr | 31 | 39 | 0.780645 |
54615497a597809e722b75e586e88b607f457119 | 470 | py | Python | magma/backend/util.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | magma/backend/util.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | magma/backend/util.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | import os
__magma_codegen_debug_info = False
if os.environ.get("MAGMA_CODEGEN_DEBUG_INFO", False):
__magma_codegen_debug_info = True
| 21.363636 | 53 | 0.77234 |
546277ddd1038ab1b79d6538508e871a2186c14c | 3,560 | py | Python | src/backend/main.py | tuimac/servertools | ceda2685a248d700f48aea4f93887b0f89a264a8 | [
"MIT"
] | null | null | null | src/backend/main.py | tuimac/servertools | ceda2685a248d700f48aea4f93887b0f89a264a8 | [
"MIT"
] | null | null | null | src/backend/main.py | tuimac/servertools | ceda2685a248d700f48aea4f93887b0f89a264a8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from subprocess import Popen, PIPE, DEVNULL, run
import socket
import sys
import traceback
import argparse
import time
import logging
import os
logger = logging.getLogger("django")
if __name__ == '__main__':
main()
| 30.169492 | 108 | 0.538202 |
5463fe7521a3910ac70e77bb4ec4fc1c354e171b | 35 | py | Python | pyble/const/characteristic/sensor_location.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 14 | 2015-03-30T23:11:36.000Z | 2020-04-07T00:57:12.000Z | pyble/const/characteristic/sensor_location.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 3 | 2016-05-17T06:11:07.000Z | 2017-05-15T16:43:09.000Z | pyble/const/characteristic/sensor_location.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 11 | 2016-03-11T08:53:03.000Z | 2019-03-11T21:32:13.000Z | NAME="Sensor Location"
UUID=0x2A5D
| 11.666667 | 22 | 0.8 |
546484ce8b5ed762d88a0033bf3308f52967f631 | 296 | py | Python | active-learning/seq_data.py | ansunsujoe/ml-research | 7ab529a5ec1d420385e64b9eebf87e0847b85afd | [
"MIT"
] | null | null | null | active-learning/seq_data.py | ansunsujoe/ml-research | 7ab529a5ec1d420385e64b9eebf87e0847b85afd | [
"MIT"
] | null | null | null | active-learning/seq_data.py | ansunsujoe/ml-research | 7ab529a5ec1d420385e64b9eebf87e0847b85afd | [
"MIT"
] | null | null | null | import random
from tqdm import tqdm
if __name__ == "__main__":
with open("sequences-1-train.txt", "w") as f:
for i in tqdm(range(5000)):
f.write(",".join(random_seq()) + "\n") | 29.6 | 76 | 0.614865 |
546488ac5fe6da6a714985e1c5c6692b62df9032 | 3,585 | py | Python | datatest/main.py | ajhynes7/datatest | 78742e98de992807286655f5685a2dc33a7b452e | [
"Apache-2.0"
] | 277 | 2016-05-12T13:22:49.000Z | 2022-03-11T00:18:32.000Z | datatest/main.py | ajhynes7/datatest | 78742e98de992807286655f5685a2dc33a7b452e | [
"Apache-2.0"
] | 57 | 2016-05-18T01:03:32.000Z | 2022-02-17T13:48:43.000Z | datatest/main.py | ajhynes7/datatest | 78742e98de992807286655f5685a2dc33a7b452e | [
"Apache-2.0"
] | 16 | 2016-05-22T11:35:19.000Z | 2021-12-01T19:41:42.000Z | """Datatest main program"""
import sys as _sys
from unittest import TestProgram as _TestProgram
from unittest import defaultTestLoader as _defaultTestLoader
try:
from unittest.signals import installHandler
except ImportError:
installHandler = None
from datatest import DataTestRunner
__unittest = True
__datat... | 38.138298 | 80 | 0.538633 |
54655fd5e9013ea6eec439615853e317aa7b100b | 17,503 | py | Python | zvmsdk/vmops.py | jasealpers/python-zvm-sdk | feb19dd40915b1a6cad74e7ccda17bc76d015ea5 | [
"Apache-2.0"
] | 9 | 2017-06-13T17:46:33.000Z | 2019-01-08T03:00:00.000Z | zvmsdk/vmops.py | jasealpers/python-zvm-sdk | feb19dd40915b1a6cad74e7ccda17bc76d015ea5 | [
"Apache-2.0"
] | 4 | 2018-07-18T21:41:21.000Z | 2019-01-07T06:05:15.000Z | zvmsdk/vmops.py | jasealpers/python-zvm-sdk | feb19dd40915b1a6cad74e7ccda17bc76d015ea5 | [
"Apache-2.0"
] | 20 | 2017-02-27T09:46:13.000Z | 2019-05-29T23:17:52.000Z | # Copyright 2017 IBM Corp.
#
# 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 t... | 40.144495 | 79 | 0.588642 |
546685a1cd267c088cdbed690f4354973078c4ca | 3,481 | py | Python | Q146.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | Q146.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | Q146.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | """
Q146
LRU Cache
Medium
Author: Lingqing Gan
Date: 08/06/2019
Question:
Design and implement a data structure for Least Recently Used (LRU) cache.
It should support the following operations: get and put.
get(key) - Get the value (will always be positive) of the key if the key
exists in the cache, otherwise return ... | 26.172932 | 76 | 0.600402 |
54670eac7c97edca8f6b8dd01151c748a6156511 | 9,940 | py | Python | bin/genparams.py | neonkingfr/VizBench | e41f559cb6e761d717f2f5b202482d5d8dacd2d8 | [
"MIT"
] | 7 | 2015-01-05T06:32:49.000Z | 2020-10-30T19:29:07.000Z | bin/genparams.py | neonkingfr/VizBench | e41f559cb6e761d717f2f5b202482d5d8dacd2d8 | [
"MIT"
] | null | null | null | bin/genparams.py | neonkingfr/VizBench | e41f559cb6e761d717f2f5b202482d5d8dacd2d8 | [
"MIT"
] | 4 | 2016-03-09T22:29:26.000Z | 2021-04-07T13:52:28.000Z | # This script reads *VizParams.list files that define Vizlet parameters
# and generates .h files for them, making runtime access to them much faster.
# This allows new parameters to be added just by editing one file.
import sys
import os
import re
types={"bool":"BOOL","int":"INT","double":"DBL","string":"STR"}
realty... | 27.458564 | 124 | 0.609557 |
54685a8741677f7fae5e8b83b5e24b77c1c400f9 | 712 | py | Python | notebooks/session_4/s3-sobelAndmatplotlib.py | bigmpc/cv-spring-2021 | 81d9384f74f5411804cdbb26be5b7ced0d0f5958 | [
"Apache-2.0"
] | 3 | 2021-03-09T10:00:50.000Z | 2021-12-26T07:19:09.000Z | notebooks/session_4/s3-sobelAndmatplotlib.py | bigmpc/cv-spring-2021 | 81d9384f74f5411804cdbb26be5b7ced0d0f5958 | [
"Apache-2.0"
] | null | null | null | notebooks/session_4/s3-sobelAndmatplotlib.py | bigmpc/cv-spring-2021 | 81d9384f74f5411804cdbb26be5b7ced0d0f5958 | [
"Apache-2.0"
] | 1 | 2021-02-27T16:09:30.000Z | 2021-02-27T16:09:30.000Z | import cv2
import numpy as np
import matplotlib.pyplot as plt
#Read the image as grayscale:
image = cv2.imread('building.jpg', 0)
#Compute the gradient approximations using the Sobel operator:
dx = cv2.Sobel(image, cv2.CV_32F, 1, 0)
dy = cv2.Sobel(image, cv2.CV_32F, 0, 1)
#Visualize the results:
plt.figu... | 19.777778 | 63 | 0.671348 |
5468626a4d8739106b686cc86e072541eeccc86e | 956 | py | Python | reporter-cli/sql-pdf/python/src/reporterprimary/__init__.py | rgolubtsov/reporter-multilang | 6d7e04bbd57342ea80e1beccea3c4de1b1c4e203 | [
"Unlicense"
] | 3 | 2017-04-28T16:40:22.000Z | 2019-02-22T16:57:12.000Z | reporter-cli/sql-pdf/python/src/reporterprimary/__init__.py | rgolubtsov/reporter-multilang | 6d7e04bbd57342ea80e1beccea3c4de1b1c4e203 | [
"Unlicense"
] | 46 | 2017-01-17T01:10:15.000Z | 2019-06-13T20:45:12.000Z | reporter-cli/sql-pdf/python/src/reporterprimary/__init__.py | rgolubtsov/reporter-multilang | 6d7e04bbd57342ea80e1beccea3c4de1b1c4e203 | [
"Unlicense"
] | 1 | 2017-07-06T14:18:55.000Z | 2017-07-06T14:18:55.000Z | # -*- coding: utf-8 -*-
# reporter-cli/sql-pdf/python/src/reporterprimary/__init__.py
# =============================================================================
# Reporter Multilang. Version 0.5.9
# =============================================================================
# A tool to generate human-readable re... | 45.52381 | 79 | 0.561715 |
5468c394ce1fe6e2cc2dd6fce2fd7d4c6e567c44 | 3,494 | py | Python | bem/teq_planet.py | DanielAndreasen/bem | c4cca79322f08b5e9a3f3d39749c11d9f6296aae | [
"MIT"
] | null | null | null | bem/teq_planet.py | DanielAndreasen/bem | c4cca79322f08b5e9a3f3d39749c11d9f6296aae | [
"MIT"
] | null | null | null | bem/teq_planet.py | DanielAndreasen/bem | c4cca79322f08b5e9a3f3d39749c11d9f6296aae | [
"MIT"
] | null | null | null | import numpy as np
from uncertainties import umath as um
def getTeqpl(Teffst, aR, ecc, A=0, f=1/4.):
"""Return the planet equilibrium temperature.
Relation adapted from equation 4 page 4 in http://www.mpia.de/homes/ppvi/chapter/madhusudhan.pdf
and https://en.wikipedia.org/wiki/Stefan%E2%80%93Boltzmann_law... | 48.527778 | 100 | 0.660561 |
5469add1bc5b0732388dfd9a2adc569e52915599 | 1,656 | py | Python | poppy/data_preprocess.py | phanxuanphucnd/BertTextClassification | c9a0500f07d831f924f56cc8211569b035c6e47a | [
"MIT"
] | 1 | 2021-06-14T21:03:04.000Z | 2021-06-14T21:03:04.000Z | poppy/data_preprocess.py | phanxuanphucnd/BertTextClassification | c9a0500f07d831f924f56cc8211569b035c6e47a | [
"MIT"
] | null | null | null | poppy/data_preprocess.py | phanxuanphucnd/BertTextClassification | c9a0500f07d831f924f56cc8211569b035c6e47a | [
"MIT"
] | null | null | null | import pandas as pd
import re
import os
from tqdm import tqdm
## Cleaning train raw dataset
train = open('./data/raw/train.crash').readlines()
train_ids = []
train_texts = []
train_labels = []
for id, line in tqdm(enumerate(train)):
line = line.strip()
if line.startswith("train_"):
train_ids.append... | 23.323944 | 80 | 0.618357 |
546a32ceac58022d2ad2cfb8c9d2804371eb31f5 | 6,456 | py | Python | websaw/core/app.py | valq7711/websaw | fb5718ad3ecd011d7fbb3f24fa007d84951bd58c | [
"MIT"
] | 1 | 2022-02-25T15:02:25.000Z | 2022-02-25T15:02:25.000Z | websaw/core/app.py | valq7711/websaw | fb5718ad3ecd011d7fbb3f24fa007d84951bd58c | [
"MIT"
] | null | null | null | websaw/core/app.py | valq7711/websaw | fb5718ad3ecd011d7fbb3f24fa007d84951bd58c | [
"MIT"
] | null | null | null | import functools
from types import SimpleNamespace
from typing import List
from . import globs
from .context import BaseContext
from .exceptions import FixtureProcessError
from .reloader import Reloader
from .static_registry import static_registry
| 31.960396 | 118 | 0.577912 |
546beba67c891d71b93c4df6d7f37c550d736d00 | 1,772 | py | Python | observations/r/chest_sizes.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 199 | 2017-07-24T01:34:27.000Z | 2022-01-29T00:50:55.000Z | observations/r/chest_sizes.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 46 | 2017-09-05T19:27:20.000Z | 2019-01-07T09:47:26.000Z | observations/r/chest_sizes.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 45 | 2017-07-26T00:10:44.000Z | 2022-03-16T20:44:59.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def chest_sizes(path):
"""Chest measurements of 5738 Scottish Militiamen
... | 29.533333 | 71 | 0.705418 |
546e4ec20d3fdf8c1c5f8ed657bb3f80549f9803 | 1,365 | py | Python | setup.py | google/ads-api-reports-fetcher | de0bacc3ab520b020cf19985284b7e3dbc9778b0 | [
"Apache-2.0"
] | 4 | 2022-02-16T12:42:26.000Z | 2022-03-30T17:14:32.000Z | setup.py | google/ads-api-reports-fetcher | de0bacc3ab520b020cf19985284b7e3dbc9778b0 | [
"Apache-2.0"
] | null | null | null | setup.py | google/ads-api-reports-fetcher | de0bacc3ab520b020cf19985284b7e3dbc9778b0 | [
"Apache-2.0"
] | 1 | 2022-03-28T05:51:57.000Z | 2022-03-28T05:51:57.000Z | import pathlib
from setuptools import setup, find_packages
HERE = pathlib.Path(__file__).parent
README = (HERE / "README.md").read_text()
setup(name="google-ads-api-report-fetcher",
version="0.1",
description="Library for fetching reports from Google Ads API and saving them locally / BigQuery.",
lo... | 36.891892 | 105 | 0.621245 |
546e73d201a7995e9aa7205db669d55b27e2e940 | 2,880 | py | Python | scan_service/scan_service/utils/stats.py | kkkkv/tgnms | a3b8fd8a69b647a614f9856933f05e50a4affadf | [
"MIT"
] | 12 | 2021-04-06T06:27:18.000Z | 2022-03-18T10:52:29.000Z | scan_service/scan_service/utils/stats.py | kkkkv/tgnms | a3b8fd8a69b647a614f9856933f05e50a4affadf | [
"MIT"
] | 6 | 2022-01-04T13:32:16.000Z | 2022-03-28T21:13:59.000Z | scan_service/scan_service/utils/stats.py | kkkkv/tgnms | a3b8fd8a69b647a614f9856933f05e50a4affadf | [
"MIT"
] | 7 | 2021-09-27T13:14:42.000Z | 2022-03-28T16:24:15.000Z | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import asyncio
import logging
import time
from collections import defaultdict
from typing import DefaultDict, Dict, List
from tglib.clients.prometheus_client import PrometheusClient, consts
from tglib.exceptions import ClientRuntimeError
... | 32.727273 | 87 | 0.594097 |
547084a7679711993b0e3d30495458fce0c7f40b | 1,866 | py | Python | multithread_pipeline.py | kapitsa2811/smartOCR | 6ecca79b29778778b1458ea28763a39920a3d58a | [
"MIT"
] | null | null | null | multithread_pipeline.py | kapitsa2811/smartOCR | 6ecca79b29778778b1458ea28763a39920a3d58a | [
"MIT"
] | null | null | null | multithread_pipeline.py | kapitsa2811/smartOCR | 6ecca79b29778778b1458ea28763a39920a3d58a | [
"MIT"
] | null | null | null | import glob
import os
from io import StringIO
from threading import Thread
import logging
from logger import TimeHandler
from costants import THREADS, INFERENCE_GRAPH
from pipeline import pipeline
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logger.addHandler(TimeHandler().handler)
... | 29.619048 | 115 | 0.576099 |
5470a342899892808b0ad450ef5da5a2f9cf5b36 | 12,319 | py | Python | src/keys_server/GMO/GMOKeysLookup.py | OasisLMF/gem | 95c755a1cb76a2bbc41e5dd7bc503c59123ca3ac | [
"BSD-2-Clause"
] | null | null | null | src/keys_server/GMO/GMOKeysLookup.py | OasisLMF/gem | 95c755a1cb76a2bbc41e5dd7bc503c59123ca3ac | [
"BSD-2-Clause"
] | null | null | null | src/keys_server/GMO/GMOKeysLookup.py | OasisLMF/gem | 95c755a1cb76a2bbc41e5dd7bc503c59123ca3ac | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Python 2 standard library imports
import csv
import io
import logging
import os
# Python 2 non-standard library imports
import pandas as pd
# Imports from Oasis core repos + subpackages or modules within keys_server
from oasislmf.utils.coverages import COVERAGE_TYPES
from oasislmf.utils.per... | 36.554896 | 606 | 0.596396 |
5470aea747a6878071245059e1de2776baa03338 | 18,485 | py | Python | pandemic_eval.py | aypan17/value_learning | 240a67ecf99b178fe0c4ced2bfd1dd50453fbdfe | [
"MIT"
] | null | null | null | pandemic_eval.py | aypan17/value_learning | 240a67ecf99b178fe0c4ced2bfd1dd50453fbdfe | [
"MIT"
] | null | null | null | pandemic_eval.py | aypan17/value_learning | 240a67ecf99b178fe0c4ced2bfd1dd50453fbdfe | [
"MIT"
] | null | null | null | import time
import sys
import json
import argparse
from tqdm import trange
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
import numpy as np
from scipy.spatial.distance import jensenshannon
import gym
import matplotlib.pyplot as plt
from matplotlib.axes import Axes
fr... | 47.51928 | 182 | 0.648526 |
5471ef5e2041074700733cd254f4357bec345d93 | 3,289 | py | Python | WagerBrain/odds.py | sedemmler/WagerBrain | b1cc33f5eb7a6130106bf8251b554718e2d22172 | [
"MIT"
] | 83 | 2020-03-26T22:14:24.000Z | 2022-03-22T19:00:48.000Z | website.py | rax-v/XSS | ff70b89c9fb94a19caaf84e81eddeeca052344ea | [
"MIT"
] | 2 | 2020-03-26T19:34:03.000Z | 2020-03-27T19:56:14.000Z | website.py | rax-v/XSS | ff70b89c9fb94a19caaf84e81eddeeca052344ea | [
"MIT"
] | 19 | 2020-04-06T10:47:30.000Z | 2022-03-30T19:16:42.000Z | from fractions import Fraction
from math import gcd
import numpy as np
"""
Convert the style of gambling odds to Function Name (Decimal, American, Fractional).
TO DO: Fix edge case related to Fraction module that causes weird rounding / slightly off output
"""
def american_odds(odds):
"""
:param odds: ... | 28.850877 | 123 | 0.578291 |
5472180161d7e60f43fc9232da207e59fa3cb086 | 16,438 | py | Python | GANs/jsigan/ops.py | JonathanLehner/nnabla-examples | 2971b987484945e12fb171594181908789485a0f | [
"Apache-2.0"
] | null | null | null | GANs/jsigan/ops.py | JonathanLehner/nnabla-examples | 2971b987484945e12fb171594181908789485a0f | [
"Apache-2.0"
] | null | null | null | GANs/jsigan/ops.py | JonathanLehner/nnabla-examples | 2971b987484945e12fb171594181908789485a0f | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017 Sony Corporation. All Rights Reserved.
#
# 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 applicabl... | 37.359091 | 98 | 0.55828 |
5475f0c326a3f8de3e388b70e03c71cc3faf4139 | 2,973 | py | Python | neptune/internal/hardware/gpu/gpu_monitor.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 13 | 2019-02-11T13:18:38.000Z | 2019-12-26T06:26:07.000Z | neptune/internal/hardware/gpu/gpu_monitor.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 39 | 2019-03-07T13:40:10.000Z | 2020-01-07T17:19:24.000Z | neptune/internal/hardware/gpu/gpu_monitor.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 4 | 2019-02-11T13:07:23.000Z | 2019-11-26T08:20:24.000Z | #
# Copyright (c) 2019, Neptune Labs Sp. z o.o.
#
# 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 agr... | 35.392857 | 100 | 0.664649 |
54768720b8a58a3c4d1cf1c8c265ceea8f6fc111 | 5,219 | py | Python | tests/redis_map.py | jaredlunde/redis_structures | b9cce5f5c85db5e12c292633ff8d04e3ae053294 | [
"MIT"
] | 2 | 2016-04-05T08:40:47.000Z | 2016-06-27T14:03:26.000Z | tests/redis_map.py | jaredLunde/redis_structures | b9cce5f5c85db5e12c292633ff8d04e3ae053294 | [
"MIT"
] | 1 | 2015-10-27T14:30:53.000Z | 2015-11-09T17:54:33.000Z | tests/redis_map.py | jaredlunde/redis_structures | b9cce5f5c85db5e12c292633ff8d04e3ae053294 | [
"MIT"
] | null | null | null | #!/usr/bin/python3 -S
# -*- coding: utf-8 -*-
"""
`Redis Map Tests`
------------------------------------------------------
2015 Jared Lunde The MIT License (MIT)
http://github.com/jaredlunde
"""
import datetime
import time
import pickle
import unittest
from redis_structures.debug import RandData, gen_rand_s... | 30.881657 | 80 | 0.57923 |
5477f31f091eaba6d081dd15b6e4e452029c17e6 | 4,480 | py | Python | examples/parser_example.py | pibico/beacontools | 513e1c7ff2aaf74b6c7d7b10805c2f6ca4384e3d | [
"MIT"
] | 139 | 2017-06-09T17:15:23.000Z | 2022-03-15T03:02:17.000Z | examples/parser_example.py | pibico/beacontools | 513e1c7ff2aaf74b6c7d7b10805c2f6ca4384e3d | [
"MIT"
] | 71 | 2017-06-20T03:20:56.000Z | 2022-02-13T22:47:53.000Z | examples/parser_example.py | pibico/beacontools | 513e1c7ff2aaf74b6c7d7b10805c2f6ca4384e3d | [
"MIT"
] | 59 | 2017-06-20T03:10:00.000Z | 2022-03-15T23:54:44.000Z | # -*- coding: utf-8 -*-
from beacontools import parse_packet
# Eddystone UID packet
uid_packet = b"\x02\x01\x06\x03\x03\xaa\xfe\x17\x16\xaa\xfe\x00\xe3\x12\x34\x56\x78\x90\x12" \
b"\x34\x67\x89\x01\x00\x00\x00\x00\x00\x01\x00\x00"
uid_frame = parse_packet(uid_packet)
print("Namespace: %s" % uid_frame.nam... | 40 | 94 | 0.690625 |
547c48103894763c6518d10f40329e0d7d4eaefd | 1,228 | py | Python | mlsurvey/sl/workflows/multiple_learning_workflow.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | mlsurvey/sl/workflows/multiple_learning_workflow.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | mlsurvey/sl/workflows/multiple_learning_workflow.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | from kedro.io import DataCatalog, MemoryDataSet
from kedro.pipeline import Pipeline
from kedro.runner import SequentialRunner
import mlsurvey as mls
from mlsurvey.workflows.learning_workflow import LearningWorkflow
| 34.111111 | 87 | 0.653094 |
547cd68f734cef8dede708252277b864855b2580 | 2,542 | py | Python | backend/apps/cmdb/migrations/0001_initial.py | renmcc/SA2 | a524124c140ae0b291b10dafc11d38744dd93bd9 | [
"MIT"
] | 4 | 2020-06-25T05:57:39.000Z | 2021-06-26T04:58:16.000Z | backend/apps/cmdb/migrations/0001_initial.py | renmcc/SA2 | a524124c140ae0b291b10dafc11d38744dd93bd9 | [
"MIT"
] | null | null | null | backend/apps/cmdb/migrations/0001_initial.py | renmcc/SA2 | a524124c140ae0b291b10dafc11d38744dd93bd9 | [
"MIT"
] | 1 | 2020-12-10T15:12:11.000Z | 2020-12-10T15:12:11.000Z | # Generated by Django 2.2.12 on 2020-06-15 16:55
import datetime
from django.db import migrations, models
import django.db.models.deletion
| 59.116279 | 215 | 0.632179 |
547d39324fd1deeba259dcc2ee665fe787ad6b6c | 1,055 | py | Python | sphecius/ciphers/base.py | douglasdaly/sphecius | df8fc8dd2add157c6360c2b66cb22ac6f0241051 | [
"MIT"
] | 1 | 2019-09-26T01:08:20.000Z | 2019-09-26T01:08:20.000Z | sphecius/ciphers/base.py | douglasdaly/sphecius | df8fc8dd2add157c6360c2b66cb22ac6f0241051 | [
"MIT"
] | null | null | null | sphecius/ciphers/base.py | douglasdaly/sphecius | df8fc8dd2add157c6360c2b66cb22ac6f0241051 | [
"MIT"
] | 1 | 2019-09-26T01:08:19.000Z | 2019-09-26T01:08:19.000Z | # -*- coding: utf-8 -*-
"""
base.py
Base Cipher Object class
@author: Douglas Daly
@date: 1/12/2017
"""
#
# Imports
#
from abc import ABCMeta, abstractmethod
from ..alphabets import English
#
# Classes
#
| 16.484375 | 50 | 0.57346 |
547ee9e4da4b047390b557dc16580a853bcc3c8e | 281 | py | Python | setup.py | codewars/python-unittest | 5a6cc27a51a9d91ce997c953099515c701b76057 | [
"MIT"
] | 4 | 2020-06-20T12:36:09.000Z | 2021-10-31T22:04:48.000Z | setup.py | codewars/python-unittest | 5a6cc27a51a9d91ce997c953099515c701b76057 | [
"MIT"
] | null | null | null | setup.py | codewars/python-unittest | 5a6cc27a51a9d91ce997c953099515c701b76057 | [
"MIT"
] | 3 | 2020-07-11T13:46:24.000Z | 2022-02-23T20:55:19.000Z | from setuptools import setup
setup(
name="codewars_unittest",
version="0.1.0",
packages=["codewars_unittest"],
license="MIT",
description="unittest runner with Codewars output",
install_requires=[],
url="https://github.com/Codewars/python-unittest",
)
| 23.416667 | 55 | 0.690391 |
547f16545ac590cbce83d8fc70ff6fbb32f028e2 | 16,628 | py | Python | code/python/FactSetFunds/v1/fds/sdk/FactSetFunds/model/classifications.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 6 | 2022-02-07T16:34:18.000Z | 2022-03-30T08:04:57.000Z | code/python/FactSetFunds/v1/fds/sdk/FactSetFunds/model/classifications.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 2 | 2022-02-07T05:25:57.000Z | 2022-03-07T14:18:04.000Z | code/python/FactSetFunds/v1/fds/sdk/FactSetFunds/model/classifications.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | null | null | null | """
FactSet Funds API
FactSet Mutual Funds data offers over 50 fund- and share class-specific data points for mutual funds listed in the United States. <p>FactSet Mutual Funds Reference provides fund-specific reference information as well as FactSet's proprietary classification system. It includes but is not l... | 57.536332 | 709 | 0.619016 |
547ff536693b82874299f521ef54379c7a3ee663 | 1,637 | py | Python | tests/test_drc.py | atait/lymask | a047bee386e7c9c7f04030277cdfaf7b3c731d14 | [
"MIT"
] | 3 | 2020-12-01T07:55:50.000Z | 2022-03-16T22:18:07.000Z | tests/test_drc.py | atait/lymask | a047bee386e7c9c7f04030277cdfaf7b3c731d14 | [
"MIT"
] | null | null | null | tests/test_drc.py | atait/lymask | a047bee386e7c9c7f04030277cdfaf7b3c731d14 | [
"MIT"
] | 2 | 2020-12-01T22:56:35.000Z | 2021-05-03T09:30:09.000Z | import os, sys
import subprocess
import xmltodict
import lymask
from lymask import batch_drc_main
from conftest import test_dir
drc_file = os.path.join(test_dir, 'tech', 'lymask_example_tech', 'drc', 'default.yml')
layout_file = os.path.join(test_dir, '2_drc_src.oas')
outfile = os.path.join(test_dir, '2_drc_run.lyrdb... | 30.886792 | 115 | 0.722053 |
5480da3b737fa2ac8f9665bf668142513e4bbaba | 1,731 | py | Python | graphviz/parameters/formatters.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | 1 | 2022-01-19T04:02:46.000Z | 2022-01-19T04:02:46.000Z | graphviz/parameters/formatters.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | 1 | 2021-11-19T07:21:48.000Z | 2021-11-19T07:21:48.000Z | graphviz/parameters/formatters.py | boeddeker/graphviz | acf79bca4518781cad02c102e89ec4e9ce757088 | [
"MIT"
] | 1 | 2022-01-14T17:15:38.000Z | 2022-01-14T17:15:38.000Z | """Rendering formatter parameter handling."""
import typing
from . import base
__all__ = ['FORMATTERS', 'verify_formatter', 'Formatter']
FORMATTERS = {'cairo',
'core',
'gd',
'gdiplus',
'gdwbmp',
'xlib'}
REQUIRED = False
| 28.377049 | 84 | 0.60312 |
5480e17b073b3d2de7a418823c0645c307bf4d95 | 183 | py | Python | reward/utils/device.py | lgvaz/torchrl | cfff8acaf70d1fec72169162b95ab5ad3547d17a | [
"MIT"
] | 5 | 2018-06-21T14:33:40.000Z | 2018-08-18T02:26:03.000Z | reward/utils/device.py | lgvaz/reward | cfff8acaf70d1fec72169162b95ab5ad3547d17a | [
"MIT"
] | null | null | null | reward/utils/device.py | lgvaz/reward | cfff8acaf70d1fec72169162b95ab5ad3547d17a | [
"MIT"
] | 2 | 2018-05-08T03:34:49.000Z | 2018-06-22T15:04:17.000Z | import torch
CONFIG = {"device": torch.device("cuda" if torch.cuda.is_available() else "cpu")}
| 22.875 | 81 | 0.704918 |
548192ff87fcf5b59d3f5cc728048383ca680545 | 5,727 | py | Python | Source/Functions/RPSLS.Python.Api/NextMove/next_move.py | ivan-b-ivanov/RockPaperScissorsLizardSpock | 9167bcbe5ad2937e834408475c2ec66cf92fef84 | [
"MIT"
] | null | null | null | Source/Functions/RPSLS.Python.Api/NextMove/next_move.py | ivan-b-ivanov/RockPaperScissorsLizardSpock | 9167bcbe5ad2937e834408475c2ec66cf92fef84 | [
"MIT"
] | null | null | null | Source/Functions/RPSLS.Python.Api/NextMove/next_move.py | ivan-b-ivanov/RockPaperScissorsLizardSpock | 9167bcbe5ad2937e834408475c2ec66cf92fef84 | [
"MIT"
] | null | null | null | import logging
import random
import os
import json
from typing import Tuple, List
import requests
R_rock, P_paper, S_scissors, V_spock, L_lizard = ('R', 'P', 'S', 'V', 'L')
INTERNAL_MOVES_ENCODING = [R_rock, P_paper, S_scissors, V_spock, L_lizard]
| 39.226027 | 101 | 0.596124 |
5481ba7b076cad5057871b2955d0e7140c538c8a | 5,410 | py | Python | examples/trials/nas_cifar10/src/cifar10/nni_child_cifar10.py | runauto/nni | 30152b04c4739f5b4f95087dee5f1e66ee893078 | [
"MIT"
] | 2 | 2019-12-30T20:42:17.000Z | 2021-01-24T16:51:56.000Z | examples/trials/nas_cifar10/src/cifar10/nni_child_cifar10.py | runauto/nni | 30152b04c4739f5b4f95087dee5f1e66ee893078 | [
"MIT"
] | null | null | null | examples/trials/nas_cifar10/src/cifar10/nni_child_cifar10.py | runauto/nni | 30152b04c4739f5b4f95087dee5f1e66ee893078 | [
"MIT"
] | 1 | 2020-01-11T13:19:26.000Z | 2020-01-11T13:19:26.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import shutil
import logging
import tensorflow as tf
from src.cifar10.data_utils import read_data
from src.cifar10.general_child import GeneralChild
import src.cifar10_flags
from src.cifar10_flags impo... | 33.190184 | 85 | 0.64085 |
5481d023ae1cb5111f38843d186a6cb4876d216a | 175 | py | Python | apps/oper/apps.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 2 | 2021-08-17T13:29:21.000Z | 2021-09-04T05:00:01.000Z | apps/oper/apps.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 1 | 2020-07-16T11:22:32.000Z | 2020-07-16T11:22:32.000Z | apps/oper/apps.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 1 | 2020-09-18T10:41:59.000Z | 2020-09-18T10:41:59.000Z | from django.apps import AppConfig
| 17.5 | 34 | 0.64 |
5481e05c5889a5fab05aff46f53912b82371d733 | 1,952 | py | Python | stella/core/interpreter/lexer.py | xabinapal/stella | ae02055749f997323390d642c99a37b80aa5df68 | [
"MIT"
] | null | null | null | stella/core/interpreter/lexer.py | xabinapal/stella | ae02055749f997323390d642c99a37b80aa5df68 | [
"MIT"
] | null | null | null | stella/core/interpreter/lexer.py | xabinapal/stella | ae02055749f997323390d642c99a37b80aa5df68 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import io
import collections
from stella.core.utils import RewindableIterator
from stella.core.interpreter.productions import Token
__all__ = ['Tokenizer', 'Lexer']
################################################################################
### Tokenizer
################################... | 29.134328 | 82 | 0.483607 |
548332d9c8a9e409da8648383e49cb1b1c4dbca5 | 12,628 | py | Python | tensorflow_v1/10_-_Sequence-to-sequence/03_-_Dynamic_attention_with_par-inject.py | mtanti/deeplearningtutorial | a6fef37c77216e4f98dba2bde7c62d6aa6292476 | [
"MIT"
] | 5 | 2019-05-31T08:30:28.000Z | 2020-02-13T20:17:13.000Z | tensorflow_v1/10_-_Sequence-to-sequence/03_-_Dynamic_attention_with_par-inject.py | mtanti/deeplearningtutorial | a6fef37c77216e4f98dba2bde7c62d6aa6292476 | [
"MIT"
] | null | null | null | tensorflow_v1/10_-_Sequence-to-sequence/03_-_Dynamic_attention_with_par-inject.py | mtanti/deeplearningtutorial | a6fef37c77216e4f98dba2bde7c62d6aa6292476 | [
"MIT"
] | 6 | 2019-04-12T15:34:05.000Z | 2019-10-01T16:57:39.000Z | import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
tf.logging.set_verbosity(tf.logging.ERROR)
max_epochs = 6000
init_stddev = 0.0001
source_embedding_size = 2
target_embedding_size = 2
source_state_size = 2
preattention_size = 2
target_state_size = 2
max_seq_len = 10
source_tokens = [
... | 52.83682 | 230 | 0.633275 |
54835562ea5262f2ee7bb00d7ceac361aa51a6f1 | 226 | py | Python | lnd/utils.py | gsmadi/lightningpy | 14f4cc2dd5eb8726a06db8798944302974b890aa | [
"MIT"
] | null | null | null | lnd/utils.py | gsmadi/lightningpy | 14f4cc2dd5eb8726a06db8798944302974b890aa | [
"MIT"
] | 3 | 2019-08-21T11:51:52.000Z | 2019-10-07T11:51:45.000Z | lnd/utils.py | smadici-labs/pylnd | 14f4cc2dd5eb8726a06db8798944302974b890aa | [
"MIT"
] | null | null | null | import codecs | 20.545455 | 53 | 0.738938 |
5483a8653b465908b4e7a3a5f68321bd151006ac | 1,649 | py | Python | ctapipe/image/muon/ring_fitter.py | chaimain/ctapipe | ff80cff2daaf56e1d05ea6501c68fd83a9cf79d5 | [
"BSD-3-Clause"
] | 53 | 2015-06-23T15:24:20.000Z | 2021-09-23T22:30:58.000Z | ctapipe/image/muon/ring_fitter.py | chaimain/ctapipe | ff80cff2daaf56e1d05ea6501c68fd83a9cf79d5 | [
"BSD-3-Clause"
] | 1,537 | 2015-06-24T11:27:16.000Z | 2022-03-31T16:17:08.000Z | ctapipe/image/muon/ring_fitter.py | chaimain/ctapipe | ff80cff2daaf56e1d05ea6501c68fd83a9cf79d5 | [
"BSD-3-Clause"
] | 275 | 2015-07-09T14:09:28.000Z | 2022-03-17T22:25:51.000Z | import numpy as np
from ctapipe.core import Component
from ctapipe.containers import MuonRingContainer
from .fitting import kundu_chaudhuri_circle_fit, taubin_circle_fit
import traitlets as traits
# the fit methods do not expose the same interface, so we
# force the same interface onto them, here.
# we also modify th... | 32.333333 | 71 | 0.691935 |
5484be9bfb8cd5688ba3f0f969954eaa83e32875 | 1,873 | py | Python | Main.py | dalwindercheema/FWPython | 4c5d4d6d0b29a199dbf37d16bd4ed9bb2ac22d19 | [
"BSD-2-Clause"
] | 2 | 2021-12-18T17:08:02.000Z | 2021-12-22T04:19:15.000Z | Main.py | dalwindercheema/FWPython | 4c5d4d6d0b29a199dbf37d16bd4ed9bb2ac22d19 | [
"BSD-2-Clause"
] | null | null | null | Main.py | dalwindercheema/FWPython | 4c5d4d6d0b29a199dbf37d16bd4ed9bb2ac22d19 | [
"BSD-2-Clause"
] | null | null | null | import pandas as pd
from os import listdir
import numpy
from sklearn.model_selection import StratifiedKFold
from FS_ALO import WFS
from FW_ALO import WFW
from WFSWFW_ALO import WFSWFW
import matplotlib.pyplot as plt
# Main program
Cost,Best_WFS,Best_WFW,Best_WFSWFW,CC=main_CV()
| 36.019231 | 107 | 0.645489 |
548634bd7f60817d2246c17acdb44bb98affa644 | 1,189 | py | Python | demo/demo/models.py | dracarysX/django-rest-query | 62fe8ee8f72251a1a8982265fff57870f2d43ca9 | [
"MIT"
] | 2 | 2017-06-28T02:51:52.000Z | 2017-06-28T09:28:33.000Z | demo/demo/models.py | dracarysX/django-rest-query | 62fe8ee8f72251a1a8982265fff57870f2d43ca9 | [
"MIT"
] | null | null | null | demo/demo/models.py | dracarysX/django-rest-query | 62fe8ee8f72251a1a8982265fff57870f2d43ca9 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*-coding: utf-8 -*-
__author__ = 'dracarysX'
from django.db import models
| 22.018519 | 48 | 0.652649 |
54870fd0b78e5e716753c262ab01d38621a1dd9c | 4,796 | py | Python | feedback-api/src/api/services/feedback/feedback_camunda_service.py | josekudiyirippil/queue-management | e56a987e14cfd2b50b820f679c7669060450da8e | [
"Apache-2.0"
] | 30 | 2018-09-19T03:30:51.000Z | 2022-03-07T02:57:05.000Z | feedback-api/src/api/services/feedback/feedback_camunda_service.py | ann-aot/queue-management | 8ac8353a1e5f3f27fea74e70831ab5f0590d1805 | [
"Apache-2.0"
] | 159 | 2018-09-17T23:45:58.000Z | 2022-03-30T17:35:05.000Z | feedback-api/src/api/services/feedback/feedback_camunda_service.py | ann-aot/queue-management | 8ac8353a1e5f3f27fea74e70831ab5f0590d1805 | [
"Apache-2.0"
] | 52 | 2018-05-18T18:30:06.000Z | 2021-08-25T12:00:29.000Z | # Copyright 2019 Province of British Columbia
#
# 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 agre... | 51.021277 | 111 | 0.641785 |
5489ae18fd1a18ba304d5257203fc13d1b20346d | 2,334 | py | Python | dezede/urls.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 15 | 2015-02-10T21:16:31.000Z | 2021-03-25T16:46:20.000Z | dezede/urls.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 4 | 2021-02-10T15:42:08.000Z | 2022-03-11T23:20:38.000Z | dezede/urls.py | dezede/dezede | 985ed1b42a2a6bab996e26c1b92444ae04afcc2c | [
"BSD-3-Clause"
] | 6 | 2016-07-10T14:20:48.000Z | 2022-01-19T18:34:02.000Z | from django.conf import settings
from django.conf.urls import *
from django.conf.urls.static import static
from django.contrib import admin
from django.contrib.sitemaps.views import sitemap
from django.views.decorators.cache import cache_page
from django.views.generic import TemplateView
from ajax_select import urls as... | 38.9 | 79 | 0.662811 |
548afc21b16ee46ad8044ba3566ba260b8c8d71a | 899 | py | Python | database/chemtrack/contacts.py | mshobair/invitro_cheminformatics | 17201496c73453accd440646a1ee81726119a59c | [
"MIT"
] | null | null | null | database/chemtrack/contacts.py | mshobair/invitro_cheminformatics | 17201496c73453accd440646a1ee81726119a59c | [
"MIT"
] | null | null | null | database/chemtrack/contacts.py | mshobair/invitro_cheminformatics | 17201496c73453accd440646a1ee81726119a59c | [
"MIT"
] | null | null | null | import datetime
from database.database_schemas import Schemas
from sqlalchemy import Column, Integer, String, DateTime
from database.base import Base
| 31 | 80 | 0.72525 |
548ba908b52f98060805c6474bd241356237c223 | 7,487 | py | Python | otter/generate/autograder.py | drjbarker/otter-grader | 9e89e1675b09cf7889995b5f1bc8e1648bf6c309 | [
"BSD-3-Clause"
] | null | null | null | otter/generate/autograder.py | drjbarker/otter-grader | 9e89e1675b09cf7889995b5f1bc8e1648bf6c309 | [
"BSD-3-Clause"
] | null | null | null | otter/generate/autograder.py | drjbarker/otter-grader | 9e89e1675b09cf7889995b5f1bc8e1648bf6c309 | [
"BSD-3-Clause"
] | null | null | null | """
Gradescope autograder configuration generator for Otter Generate
"""
import os
import json
import shutil
# import subprocess
import zipfile
import tempfile
import pathlib
import pkg_resources
import yaml
from glob import glob
from subprocess import PIPE
from jinja2 import Template
from .token import APIClient
fr... | 38.792746 | 110 | 0.631762 |
548be68a4be4ce8e389208606dd772dad630cd84 | 4,947 | py | Python | kanka-manager/test.py | davidbradlycurtis/kanka-manager | f44f814c6d9433a40cb1edc558baac12f26b31ad | [
"MIT"
] | null | null | null | kanka-manager/test.py | davidbradlycurtis/kanka-manager | f44f814c6d9433a40cb1edc558baac12f26b31ad | [
"MIT"
] | null | null | null | kanka-manager/test.py | davidbradlycurtis/kanka-manager | f44f814c6d9433a40cb1edc558baac12f26b31ad | [
"MIT"
] | null | null | null | import requests
import yaml
import json
import os
import sys
import logging
from kankaclient.client import KankaClient
logging.basicConfig(format='%(asctime)s %(levelname)s: %(message)s')
LOGGER = logging.getLogger('KankaManagement')
token = 'Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJhdWQiOiIxIiwianRpIjoiNjUxYz... | 46.233645 | 1,002 | 0.686275 |
548e7df7f685de5e09edd46875612218fa28a72f | 1,788 | py | Python | setup.py | m-aciek/python-sdk | ab447b58ae5f45ce2d5beb4bfc4d7063e42b4311 | [
"MIT"
] | null | null | null | setup.py | m-aciek/python-sdk | ab447b58ae5f45ce2d5beb4bfc4d7063e42b4311 | [
"MIT"
] | null | null | null | setup.py | m-aciek/python-sdk | ab447b58ae5f45ce2d5beb4bfc4d7063e42b4311 | [
"MIT"
] | 2 | 2018-03-30T10:10:56.000Z | 2018-05-25T09:27:36.000Z | #!/usr/bin/env python
import os
import re
import codecs
from setuptools import setup, find_packages
ground = os.path.abspath(os.path.dirname(__file__))
metadata = read(os.path.join(ground, 'hyperwallet', '__init__.py'))
setup(
name = 'hyperwallet-sdk',
url = extract_metaitem('url'),
author = extract_m... | 33.735849 | 114 | 0.636465 |
548fac7398ada6cb536131133e9e9aa0af68eb01 | 7,850 | py | Python | big-picture-spectra/big-picture-spectra.py | aibhleog/plotting-playground | 84c19698e659de97c263362c7440faa3f873476e | [
"MIT"
] | null | null | null | big-picture-spectra/big-picture-spectra.py | aibhleog/plotting-playground | 84c19698e659de97c263362c7440faa3f873476e | [
"MIT"
] | null | null | null | big-picture-spectra/big-picture-spectra.py | aibhleog/plotting-playground | 84c19698e659de97c263362c7440faa3f873476e | [
"MIT"
] | null | null | null | '''
This script makes an image very similar to Figure 2 of Hutchison et al. 2019 (https://arxiv.org/pdf/1905.08812.pdf). Undoubtedly, there are likely simpler ways to make this figure -- this is how I chose to code it up.
Because the figure in the paper uses some proprietary data, the code below will generate fake dat... | 39.25 | 217 | 0.707771 |
54902b07fce1f2bf2bcf246ab039ab703861aaf3 | 8,517 | py | Python | pesummary/core/plots/corner.py | pesummary/pesummary | 99e3c450ecbcaf5a23564d329bdf6e0080f6f2a8 | [
"MIT"
] | 1 | 2021-08-03T05:58:20.000Z | 2021-08-03T05:58:20.000Z | pesummary/core/plots/corner.py | pesummary/pesummary | 99e3c450ecbcaf5a23564d329bdf6e0080f6f2a8 | [
"MIT"
] | 1 | 2020-06-13T13:29:35.000Z | 2020-06-15T12:45:04.000Z | pesummary/core/plots/corner.py | pesummary/pesummary | 99e3c450ecbcaf5a23564d329bdf6e0080f6f2a8 | [
"MIT"
] | 3 | 2021-07-08T08:31:28.000Z | 2022-03-31T14:08:58.000Z | # Licensed under an MIT style license -- see LICENSE.md
import numpy as np
from scipy.stats import gaussian_kde
from matplotlib.colors import LinearSegmentedColormap, colorConverter
import corner
__author__ = ["Charlie Hoy <charlie.hoy@ligo.org>"]
def hist2d(
x, y, bins=20, range=None, weights=None, levels=No... | 36.242553 | 80 | 0.589996 |
549070123669b37704f083b9611ce10258a9d787 | 2,240 | py | Python | tests/test_tokenizer.py | mkartawijaya/dango | 9cc9d498c4eac851d6baa96ced528c1d91a87216 | [
"BSD-3-Clause"
] | null | null | null | tests/test_tokenizer.py | mkartawijaya/dango | 9cc9d498c4eac851d6baa96ced528c1d91a87216 | [
"BSD-3-Clause"
] | null | null | null | tests/test_tokenizer.py | mkartawijaya/dango | 9cc9d498c4eac851d6baa96ced528c1d91a87216 | [
"BSD-3-Clause"
] | null | null | null | from typing import List
import pytest
import dango
# Since extracting the reading of the dictionary form depends on knowledge
# of the internal workings of SudachiPy we treat this functionality as a
# black box and just perform a smoke test if we get some plausible output.
# This test could break depending on the... | 36.129032 | 82 | 0.525446 |
5490a142b6dfe4a57805f7133f0d2ea9a4a1539c | 2,829 | py | Python | neutron_lib/db/sqlalchemytypes.py | rolaya/neutron-lib | 41a2226dfb93a0e6138de260f5126fa7c954178c | [
"Apache-2.0"
] | null | null | null | neutron_lib/db/sqlalchemytypes.py | rolaya/neutron-lib | 41a2226dfb93a0e6138de260f5126fa7c954178c | [
"Apache-2.0"
] | null | null | null | neutron_lib/db/sqlalchemytypes.py | rolaya/neutron-lib | 41a2226dfb93a0e6138de260f5126fa7c954178c | [
"Apache-2.0"
] | null | null | null | # 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
# d... | 33.678571 | 78 | 0.607282 |
5491d3f5c105c58d0e54d67614d6a8faed7a1e75 | 256 | py | Python | Algorithm/Array/217. Contains Duplicate.py | smsubham/Data-Structure-Algorithms-Questions | 45da68231907068ef4e4a0444ffdac69b337fa7c | [
"Apache-2.0"
] | null | null | null | Algorithm/Array/217. Contains Duplicate.py | smsubham/Data-Structure-Algorithms-Questions | 45da68231907068ef4e4a0444ffdac69b337fa7c | [
"Apache-2.0"
] | null | null | null | Algorithm/Array/217. Contains Duplicate.py | smsubham/Data-Structure-Algorithms-Questions | 45da68231907068ef4e4a0444ffdac69b337fa7c | [
"Apache-2.0"
] | null | null | null | # https://leetcode.com/problems/contains-duplicate/
# We are forming whole set always which isn't optimal though time complexity is O(n). | 36.571429 | 85 | 0.710938 |
54940d248d43c1725fcc0fa869fadb3c0a38e2a1 | 1,488 | py | Python | script/check_conf_whitelist.py | Kaiyuan-Zhang/Gravel-public | ff3f7dc7d5ac63d91e26f03ae4e49a7451c6cb22 | [
"MIT"
] | 4 | 2020-04-11T19:11:25.000Z | 2021-02-06T10:46:39.000Z | script/check_conf_whitelist.py | Kaiyuan-Zhang/Gravel-public | ff3f7dc7d5ac63d91e26f03ae4e49a7451c6cb22 | [
"MIT"
] | 1 | 2021-11-01T20:19:23.000Z | 2021-11-01T20:19:43.000Z | script/check_conf_whitelist.py | Kaiyuan-Zhang/Gravel-public | ff3f7dc7d5ac63d91e26f03ae4e49a7451c6cb22 | [
"MIT"
] | 1 | 2020-04-18T03:36:03.000Z | 2020-04-18T03:36:03.000Z | import sys
import os
if __name__ == '__main__':
if len(sys.argv) < 3:
print("Usage: {} <conf-list> <conf-dir> [white-list-files]".format(sys.argv[0]))
sys.exit(-1)
conf_list_file = sys.argv[1]
conf_dir = sys.argv[2]
conf_list = {}
white_list_files = sys.argv[3:]
ele_white_list ... | 31.659574 | 93 | 0.536962 |
54944c0a9b4c84df76cbc3d9fc9c516394ab50a2 | 4,383 | py | Python | models/joint_inference_model.py | pnsuau/neurips18_hierchical_image_manipulation | 712ff8008f8d4c38626bd556fc44adfbcde8fa28 | [
"MIT"
] | null | null | null | models/joint_inference_model.py | pnsuau/neurips18_hierchical_image_manipulation | 712ff8008f8d4c38626bd556fc44adfbcde8fa28 | [
"MIT"
] | null | null | null | models/joint_inference_model.py | pnsuau/neurips18_hierchical_image_manipulation | 712ff8008f8d4c38626bd556fc44adfbcde8fa28 | [
"MIT"
] | null | null | null | import torch
from torch.autograd import Variable
from util.util import *
from util.data_util import *
import numpy as np
from PIL import Image
from data.base_dataset import get_transform_params, get_raw_transform_fn, \
get_transform_fn, get_soft_bbox, get_masked_image
from util.data_util i... | 42.553398 | 94 | 0.620123 |
549626fa07a7cc95e2aa2428a235bbc1adf539d5 | 2,102 | py | Python | solutions/051_n_queens.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null | solutions/051_n_queens.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null | solutions/051_n_queens.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null |
import time
start_time = time.time()
s = Solution()
print s.solveNQueens(1)
print s.solveNQueens(2)
print s.solveNQueens(3)
print (4, s.solveNQueens(4))
print (5, len(s.solveNQueens(5)))
print (6, len(s.solveNQueens(6)))
print (7, len(s.solveNQueens(7)))
print (8, len(s.solveNQueens(8)))
print (9, len(s.solveNQueen... | 28.794521 | 108 | 0.471456 |
5497a6164438dad00ba23076949d1e3d84fd4868 | 3,812 | py | Python | tests/v2/parties/test_parties.py | jama5262/Politico | 7292f604723cf115004851b9767688cf1a956bb1 | [
"MIT"
] | null | null | null | tests/v2/parties/test_parties.py | jama5262/Politico | 7292f604723cf115004851b9767688cf1a956bb1 | [
"MIT"
] | 2 | 2019-02-19T12:43:32.000Z | 2019-03-04T16:15:38.000Z | tests/v2/parties/test_parties.py | jama5262/Politico | 7292f604723cf115004851b9767688cf1a956bb1 | [
"MIT"
] | null | null | null | import unittest
import json
from app import createApp
from app.api.database.migrations.migrations import migrate
| 36.304762 | 128 | 0.635887 |
5497dc6a086f32d3001f4b0c68ed070534942148 | 179 | py | Python | tests/_compat.py | lanius/hunk | bba04d9fb7f37c378ea41bc934c3a02401e34fe6 | [
"MIT"
] | 1 | 2015-04-03T08:35:41.000Z | 2015-04-03T08:35:41.000Z | tests/_compat.py | lanius/hunk | bba04d9fb7f37c378ea41bc934c3a02401e34fe6 | [
"MIT"
] | null | null | null | tests/_compat.py | lanius/hunk | bba04d9fb7f37c378ea41bc934c3a02401e34fe6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
PY2 = sys.version_info[0] == 2
if not PY2:
json_text = lambda rv: rv.data.decode(rv.charset)
else:
json_text = lambda rv: rv.data
| 12.785714 | 53 | 0.625698 |
549905ffeca6d09d599080cd848b9e365ea51dd3 | 763 | py | Python | oriskami/test/resources/test_router_data.py | oriskami/oriskami-python | 2b0d81f713a9149977907183c67eec136d49ee8c | [
"MIT"
] | 4 | 2017-05-28T19:37:31.000Z | 2017-06-13T11:34:26.000Z | oriskami/test/resources/test_router_data.py | ubivar/ubivar-python | 2b0d81f713a9149977907183c67eec136d49ee8c | [
"MIT"
] | null | null | null | oriskami/test/resources/test_router_data.py | ubivar/ubivar-python | 2b0d81f713a9149977907183c67eec136d49ee8c | [
"MIT"
] | null | null | null | import os
import oriskami
import warnings
from oriskami.test.helper import (OriskamiTestCase)
| 38.15 | 69 | 0.714286 |
54990a8312bff53b0e8f90e7a2361334c451c834 | 1,625 | py | Python | osbot_aws/helpers/IAM_Policy.py | artem7902/OSBot-AWS | 4b676b8323f18d3d9809d41263f3a71745ec2828 | [
"Apache-2.0"
] | null | null | null | osbot_aws/helpers/IAM_Policy.py | artem7902/OSBot-AWS | 4b676b8323f18d3d9809d41263f3a71745ec2828 | [
"Apache-2.0"
] | null | null | null | osbot_aws/helpers/IAM_Policy.py | artem7902/OSBot-AWS | 4b676b8323f18d3d9809d41263f3a71745ec2828 | [
"Apache-2.0"
] | null | null | null | from osbot_aws.apis.IAM import IAM
| 36.111111 | 123 | 0.649846 |
5499335d4a53f32fd4ee6cd0b97b91f92adeec0e | 3,959 | py | Python | data_visualization.py | vashineyu/Common_tools | b933660e007ae104910c975d074523012bb7b58e | [
"Apache-2.0"
] | 1 | 2018-10-26T09:33:26.000Z | 2018-10-26T09:33:26.000Z | data_visualization.py | vashineyu/Common_tools | b933660e007ae104910c975d074523012bb7b58e | [
"Apache-2.0"
] | null | null | null | data_visualization.py | vashineyu/Common_tools | b933660e007ae104910c975d074523012bb7b58e | [
"Apache-2.0"
] | null | null | null | # Visualization function
import numpy as np
import matplotlib.pyplot as plt
from math import ceil
from PIL import Image
from scipy.ndimage.filters import gaussian_filter
def img_combine(img, ncols=5, size=1, path=False):
"""
Draw the images with array
img: image array to plot - size = n x im_w x im_h x 3
... | 34.12931 | 113 | 0.602172 |
5499a0762a3bf6035430062da7d86593750133d8 | 2,037 | py | Python | src/CIA_History.py | Larz60p/WorldFactBook | c2edb4c8b0b9edab4a41b7384aade6d1d8ce6128 | [
"MIT"
] | 1 | 2019-03-29T03:33:43.000Z | 2019-03-29T03:33:43.000Z | src/CIA_History.py | Larz60p/WorldFactBook | c2edb4c8b0b9edab4a41b7384aade6d1d8ce6128 | [
"MIT"
] | null | null | null | src/CIA_History.py | Larz60p/WorldFactBook | c2edb4c8b0b9edab4a41b7384aade6d1d8ce6128 | [
"MIT"
] | null | null | null | # copyright (c) 2018 Larz60+
from lxml import html
import ScraperPaths
import CIA_ScanTools
import GetPage
import os
import json
import sys
from bs4 import BeautifulSoup
if __name__ == '__main__':
CIA_History()
| 31.828125 | 103 | 0.522337 |
549b59fe62af96d3a0abf31ed9194bf5c91e167c | 301 | py | Python | tests/thumbnail_tests/urls.py | roojoom/sorl-thumbnail | f10fd48f8b33efe4f468ece056fd545be796bf72 | [
"BSD-3-Clause"
] | 2 | 2019-04-09T16:07:23.000Z | 2019-04-09T16:07:26.000Z | tests/thumbnail_tests/urls.py | roojoom/sorl-thumbnail | f10fd48f8b33efe4f468ece056fd545be796bf72 | [
"BSD-3-Clause"
] | null | null | null | tests/thumbnail_tests/urls.py | roojoom/sorl-thumbnail | f10fd48f8b33efe4f468ece056fd545be796bf72 | [
"BSD-3-Clause"
] | 1 | 2020-02-18T13:00:55.000Z | 2020-02-18T13:00:55.000Z | from django.conf.urls import patterns
from django.conf import settings
urlpatterns = patterns(
'',
(r'^media/(?P<path>.+)$', 'django.views.static.serve',
{'document_root': settings.MEDIA_ROOT, 'show_indexes': True}),
(r'^(.*\.html)$', 'thumbnail_tests.views.direct_to_template'),
)
| 27.363636 | 67 | 0.671096 |
549b88a77a4a74ecdad5b7ba7eb748aea0547a53 | 822 | py | Python | data/mapper.py | GhostBadger/Kurien_G_DataViz_Fall2020 | 817f1a352027d4d81db0260393912e78a2a5e596 | [
"MIT"
] | null | null | null | data/mapper.py | GhostBadger/Kurien_G_DataViz_Fall2020 | 817f1a352027d4d81db0260393912e78a2a5e596 | [
"MIT"
] | 1 | 2020-12-13T03:46:44.000Z | 2020-12-13T03:46:44.000Z | data/mapper.py | GhostBadger/Kurien_G_DataViz_Fall2020 | 817f1a352027d4d81db0260393912e78a2a5e596 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
hfont = {'fontname':'Lato'}
#draw a simple line chart showing population grown over the last 115 years
years = [1900, 1950, 1955, 1960, 1965, 1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015]
pops = [1.6, 2.5, 2.6, 3.0, 3.3, 3.6, 4.2, 4.4, 4.8, 5.3, 5.7, 6.1, 6.5, 6.9, 7.3]... | 31.615385 | 98 | 0.69708 |
549b92a869131a02e61a4b0496d5ecab3305509e | 28,057 | py | Python | classification/train_classifier_tf.py | dnarqq/WildHack | 4fb9e4545cb47a4283ebc1dec955c0817b1664c0 | [
"MIT"
] | 402 | 2019-05-08T17:28:25.000Z | 2022-03-27T19:30:07.000Z | classification/train_classifier_tf.py | dnarqq/WildHack | 4fb9e4545cb47a4283ebc1dec955c0817b1664c0 | [
"MIT"
] | 72 | 2019-05-07T18:33:32.000Z | 2022-03-10T07:48:39.000Z | classification/train_classifier_tf.py | dnarqq/WildHack | 4fb9e4545cb47a4283ebc1dec955c0817b1664c0 | [
"MIT"
] | 162 | 2019-05-18T15:45:27.000Z | 2022-03-25T20:17:45.000Z | r"""Train an EfficientNet classifier.
Currently implementation of multi-label multi-class classification is
non-functional.
During training, start tensorboard from within the classification/ directory:
tensorboard --logdir run --bind_all --samples_per_plugin scalars=0,images=0
Example usage:
python train_cla... | 40.13877 | 116 | 0.641729 |
549bb5431eeb75a8dbdf100c69a7b7af3cb1061c | 4,704 | py | Python | pyreach/impl/constraints_impl_test.py | google-research/pyreach | f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159 | [
"Apache-2.0"
] | 13 | 2021-09-01T01:10:22.000Z | 2022-03-05T10:01:52.000Z | pyreach/impl/constraints_impl_test.py | google-research/pyreach | f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159 | [
"Apache-2.0"
] | null | null | null | pyreach/impl/constraints_impl_test.py | google-research/pyreach | f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159 | [
"Apache-2.0"
] | 6 | 2021-09-20T21:17:53.000Z | 2022-03-14T18:42:48.000Z | # Copyright 2021 Google LLC
#
# 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, ... | 39.864407 | 74 | 0.688776 |
549d785cbbd7f0e2ec80896ebc16b20cd8e0ba82 | 3,400 | py | Python | qplan/parse.py | mackstann/qplaniso | 97c4fbeeb529dfef0778cedc3e79087f6a87f5c4 | [
"CC0-1.0"
] | null | null | null | qplan/parse.py | mackstann/qplaniso | 97c4fbeeb529dfef0778cedc3e79087f6a87f5c4 | [
"CC0-1.0"
] | null | null | null | qplan/parse.py | mackstann/qplaniso | 97c4fbeeb529dfef0778cedc3e79087f6a87f5c4 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
import itertools
if __name__ == '__main__':
import pprint
with open('example-plan.txt') as f:
pprint.pprint(parse(f.read()).as_dict())
| 26.5625 | 98 | 0.523529 |
549e3c5ec51f517db74f9b45d00df6b1a26198eb | 2,397 | py | Python | 10054 - The Necklace/main.py | Shree-Gillorkar/uva-onlinejudge-solutions | df64f5c3a136827b5ca7871df1cf8aafadcf5c9b | [
"MIT"
] | 24 | 2017-10-15T04:04:55.000Z | 2022-01-31T17:14:29.000Z | 10054 - The Necklace/main.py | ashishrana080699/uva-onlinejudge-solutions | d2d0a58e53e3d9acf6d20e56a40900423ae705c4 | [
"MIT"
] | 1 | 2019-07-11T04:22:55.000Z | 2019-07-14T19:34:41.000Z | 10054 - The Necklace/main.py | ashishrana080699/uva-onlinejudge-solutions | d2d0a58e53e3d9acf6d20e56a40900423ae705c4 | [
"MIT"
] | 27 | 2017-01-06T17:33:57.000Z | 2021-11-25T00:07:54.000Z | from sys import stdin
from collections import defaultdict, deque
MAX_COLORS = 51
def build_necklace(beads):
"""Construct an euler circuit in the graph defined by the beads"""
# For a graph to have an euler circuit all vertices must have
# even degree. (Plus 0 or 2 odd vertices) Init and ckeck degree
... | 27.238636 | 79 | 0.553191 |
549ee02e71d944702ec6c3b3ab3e03cf388c6552 | 458 | py | Python | tests/test_eeg.py | y1ngyang/NeuroKit.py | 867655f84bf210626649bca72258af6a2b5a2791 | [
"MIT"
] | null | null | null | tests/test_eeg.py | y1ngyang/NeuroKit.py | 867655f84bf210626649bca72258af6a2b5a2791 | [
"MIT"
] | null | null | null | tests/test_eeg.py | y1ngyang/NeuroKit.py | 867655f84bf210626649bca72258af6a2b5a2791 | [
"MIT"
] | null | null | null | import pytest
import doctest
import os
import numpy as np
import pandas as pd
import neurokit as nk
run_tests_in_local = False
#==============================================================================
# data
#==============================================================================
#def test_read_acqknow... | 16.962963 | 79 | 0.458515 |
549fb62cea23b9b1c82de165b05b9e48e6855b9f | 231,371 | py | Python | tests/semantics/models.py | dnikolay-ebc/FiLiP | 9a84979da8dff4523cb91e40869070bd02aa91fe | [
"BSD-3-Clause"
] | 6 | 2021-11-21T21:57:38.000Z | 2022-02-22T08:20:30.000Z | tests/semantics/models.py | RWTH-EBC/FiLiP | e294c5ef94b2b6ad9611316e50b5c550bcd77c1b | [
"BSD-3-Clause"
] | 83 | 2021-04-08T18:34:20.000Z | 2022-03-30T12:18:32.000Z | tests/semantics/models.py | dnikolay-ebc/FiLiP | 9a84979da8dff4523cb91e40869070bd02aa91fe | [
"BSD-3-Clause"
] | 5 | 2021-10-04T08:39:21.000Z | 2022-03-30T07:30:57.000Z | """
Autogenerated Models for the vocabulary described by the ontologies:
http://www.semanticweb.org/redin/ontologies/2020/11/untitled-ontology-25 (ParsingTesterOntology)
https://w3id.org/saref (saref.ttl)
"""
from enum import Enum
from typing import Dict, Union, List
from filip.semantics.semantics_models import\
Se... | 29.788979 | 165 | 0.73243 |
549fd848dd75d3c337cc6b1655249d58340ef912 | 2,744 | py | Python | plotting/trackTurnOn.py | will-fawcett/trackerSW | fc097b97539d0b40a15e1d6e112f4048cb4122b4 | [
"MIT"
] | null | null | null | plotting/trackTurnOn.py | will-fawcett/trackerSW | fc097b97539d0b40a15e1d6e112f4048cb4122b4 | [
"MIT"
] | null | null | null | plotting/trackTurnOn.py | will-fawcett/trackerSW | fc097b97539d0b40a15e1d6e112f4048cb4122b4 | [
"MIT"
] | null | null | null |
from utils import prepareLegend
from colours import colours
from ROOT import *
gROOT.SetBatch(1)
gStyle.SetPadLeftMargin(0.15) # increase space for left margin
gStyle.SetPadBottomMargin(0.15) # increase space for left margin
gStyle.SetGridStyle(3)
gStyle.SetGridColor(kGray)
gStyle.SetPadTickX(1) # add tics on top ... | 27.717172 | 94 | 0.623178 |
54a054f1ed42ee815b1ac8ae21d88b15ea91f8bb | 154 | py | Python | pybo/inits/__init__.py | hfukada/pybo | 3be57adad901fcd8d45b8ee2af7c6032ab47611d | [
"BSD-2-Clause"
] | 115 | 2015-01-21T21:31:22.000Z | 2021-08-08T17:10:16.000Z | pybo/inits/__init__.py | hfukada/pybo | 3be57adad901fcd8d45b8ee2af7c6032ab47611d | [
"BSD-2-Clause"
] | 5 | 2016-02-24T16:00:01.000Z | 2020-12-21T00:28:30.000Z | pybo/inits/__init__.py | hfukada/pybo | 3be57adad901fcd8d45b8ee2af7c6032ab47611d | [
"BSD-2-Clause"
] | 35 | 2015-02-27T15:27:36.000Z | 2020-08-19T07:43:53.000Z | """
Initialization methods.
"""
# pylint: disable=wildcard-import
from .methods import *
from . import methods
__all__ = []
__all__ += methods.__all__
| 12.833333 | 33 | 0.714286 |
54a07034e31ea393994499d210b41085f8ae28cb | 2,362 | py | Python | src/Process/Process.py | mauriciocarvalho01/pln_api | 06743f1ae9e084ad15f1c91b32eb3719344f4a4b | [
"MIT"
] | 1 | 2021-12-14T19:10:44.000Z | 2021-12-14T19:10:44.000Z | src/Process/Process.py | mauriciocarvalho01/pln_api | 06743f1ae9e084ad15f1c91b32eb3719344f4a4b | [
"MIT"
] | null | null | null | src/Process/Process.py | mauriciocarvalho01/pln_api | 06743f1ae9e084ad15f1c91b32eb3719344f4a4b | [
"MIT"
] | null | null | null | import spacy
from nltk.tokenize import word_tokenize
from nltk.tokenize import sent_tokenize
from nltk.corpus import stopwords
from nltk.probability import FreqDist
from string import punctuation
from tqdm import tqdm
from rank_bm25 import BM25Okapi
import time
from collections import defaultdict
from heapq import nlar... | 34.735294 | 148 | 0.600762 |