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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ffb3122f5b526c403a537fc7e2d88fda76411dec | 13,767 | py | Python | gpMgmt/test/behave_utils/PgHba.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 9 | 2018-04-20T03:31:01.000Z | 2020-05-13T14:10:53.000Z | gpMgmt/test/behave_utils/PgHba.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 36 | 2017-09-21T09:12:27.000Z | 2020-06-17T16:40:48.000Z | gpMgmt/test/behave_utils/PgHba.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 32 | 2017-08-31T12:50:52.000Z | 2022-03-01T07:34:53.000Z | #!python
"""
Copyright (C) 2004-2017 Pivotal Software, Inc. All rights reserved.
This program and the accompanying materials are made available under
the terms of the 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 Li... | 36.324538 | 189 | 0.567008 | 12,834 | 0.932229 | 0 | 0 | 0 | 0 | 0 | 0 | 5,607 | 0.407278 |
ffb4497f2f29a25b74cf38005f97667ed3b3d835 | 7,964 | py | Python | roboskeeter/math/test_math_sorcery.py | crypdick/RoboSkeeter | c905a69c4f7ecf1e1c3e950f36200610a903b6a5 | [
"MIT"
] | null | null | null | roboskeeter/math/test_math_sorcery.py | crypdick/RoboSkeeter | c905a69c4f7ecf1e1c3e950f36200610a903b6a5 | [
"MIT"
] | null | null | null | roboskeeter/math/test_math_sorcery.py | crypdick/RoboSkeeter | c905a69c4f7ecf1e1c3e950f36200610a903b6a5 | [
"MIT"
] | null | null | null | """
Unit tests for kinematics calculations.
"""
from __future__ import print_function, division
import unittest
import numpy as np
from kinematic_math import math_toolbox
class TruismsTestCase(unittest.TestCase):
def setUp(self):
print("In test '{}'...".format(self._testMethodName))
def test_false... | 41.696335 | 98 | 0.540181 | 7,726 | 0.970116 | 0 | 0 | 0 | 0 | 0 | 0 | 1,321 | 0.165871 |
ffb52d18ba01244fe0a111aa498702d1a5db89c0 | 7,096 | py | Python | trustpayments/models/refund_create.py | TrustPayments/python-sdk | 6fde6eb8cfce270c3612a2903a845c13018c3bb9 | [
"Apache-2.0"
] | 2 | 2020-01-16T13:24:06.000Z | 2020-11-21T17:40:17.000Z | postfinancecheckout/models/refund_create.py | pfpayments/python-sdk | b8ef159ea3c843a8d0361d1e0b122a9958adbcb4 | [
"Apache-2.0"
] | 4 | 2019-10-14T17:33:23.000Z | 2021-10-01T14:49:11.000Z | postfinancecheckout/models/refund_create.py | pfpayments/python-sdk | b8ef159ea3c843a8d0361d1e0b122a9958adbcb4 | [
"Apache-2.0"
] | 2 | 2019-10-15T14:17:10.000Z | 2021-09-17T13:07:09.000Z | # coding: utf-8
import pprint
import six
from enum import Enum
class RefundCreate:
swagger_types = {
'amount': 'float',
'completion': 'int',
'external_id': 'str',
'merchant_reference': 'str',
'reductions': 'list[LineItemReductionCreate]',
'transaction': 'int'... | 26.980989 | 195 | 0.584977 | 7,029 | 0.990558 | 0 | 0 | 4,434 | 0.624859 | 0 | 0 | 3,207 | 0.451945 |
ffb567f0688a716f16f90345a882a5dc8d44737d | 4,025 | py | Python | language/xsp/data_preprocessing/language_utils.py | Xtuden-com/language | 70c0328968d5ffa1201c6fdecde45bbc4fec19fc | [
"Apache-2.0"
] | 1,199 | 2018-10-16T01:30:18.000Z | 2022-03-31T21:05:24.000Z | language/xsp/data_preprocessing/language_utils.py | Xtuden-com/language | 70c0328968d5ffa1201c6fdecde45bbc4fec19fc | [
"Apache-2.0"
] | 116 | 2018-10-18T03:31:46.000Z | 2022-03-24T13:40:50.000Z | language/xsp/data_preprocessing/language_utils.py | Xtuden-com/language | 70c0328968d5ffa1201c6fdecde45bbc4fec19fc | [
"Apache-2.0"
] | 303 | 2018-10-22T12:35:12.000Z | 2022-03-27T17:38:17.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# 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 ... | 35.619469 | 77 | 0.704596 | 1,113 | 0.276522 | 0 | 0 | 0 | 0 | 0 | 0 | 1,301 | 0.32323 |
ffb64699aee68caa91b512adb859b23ae28d1500 | 13,270 | py | Python | back/api/tests/test_pricing.py | maltaesousa/geoshop2 | 624c6d79b5a29b39a898e0d1332fb8de23bd96e4 | [
"BSD-3-Clause"
] | null | null | null | back/api/tests/test_pricing.py | maltaesousa/geoshop2 | 624c6d79b5a29b39a898e0d1332fb8de23bd96e4 | [
"BSD-3-Clause"
] | 155 | 2020-01-06T09:32:32.000Z | 2022-03-31T09:21:39.000Z | back/api/tests/test_pricing.py | maltaesousa/geoshop2 | 624c6d79b5a29b39a898e0d1332fb8de23bd96e4 | [
"BSD-3-Clause"
] | 3 | 2020-01-29T15:48:02.000Z | 2020-06-04T12:50:24.000Z | from itertools import islice
from django.core import mail
from django.contrib.auth import get_user_model
from django.contrib.gis.geos import Polygon, Point
from djmoney.money import Money
from rest_framework.test import APITestCase
from api.models import Contact, Pricing, Product, PricingGeometry, Order, OrderItem, Ord... | 39.029412 | 115 | 0.595554 | 12,919 | 0.97289 | 0 | 0 | 0 | 0 | 0 | 0 | 1,538 | 0.115822 |
ffb6752c3d7ef436cdbb18c7ac65218d10fde812 | 1,080 | py | Python | platforms/views.py | lunamagic1978/DQP | 5ca135f56a25f79d27436dc9ea844cb5b6a6b4a2 | [
"Apache-2.0"
] | null | null | null | platforms/views.py | lunamagic1978/DQP | 5ca135f56a25f79d27436dc9ea844cb5b6a6b4a2 | [
"Apache-2.0"
] | null | null | null | platforms/views.py | lunamagic1978/DQP | 5ca135f56a25f79d27436dc9ea844cb5b6a6b4a2 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from django.contrib import auth
@login_required
def index(request):
username = request.session.get('username')
ctx = {"username": username}
# return render(request, '... | 29.189189 | 70 | 0.669444 | 0 | 0 | 0 | 0 | 208 | 0.189435 | 0 | 0 | 206 | 0.187614 |
ffb9d19110d417666cdbb685244d2f511866f9ea | 2,442 | py | Python | app/searchtweet/searchtweet.py | winsb/SearchTweet | fe5e2760fda8fd563210d71293aef16d2cc90d7e | [
"MIT"
] | null | null | null | app/searchtweet/searchtweet.py | winsb/SearchTweet | fe5e2760fda8fd563210d71293aef16d2cc90d7e | [
"MIT"
] | null | null | null | app/searchtweet/searchtweet.py | winsb/SearchTweet | fe5e2760fda8fd563210d71293aef16d2cc90d7e | [
"MIT"
] | null | null | null | # searchtweet.py
import json
from requests_oauthlib import OAuth1Session
from . import tweetdata
# const
TWITTER_API_URL_PREFIX = "https://api.twitter.com/1.1/"
# SearchTweet class
class SearchTweet:
def __init__(self, consumer_key, consumer_secret, access_token, access_token_secret):
self._twitter_oa... | 34.394366 | 109 | 0.601556 | 2,255 | 0.923423 | 0 | 0 | 0 | 0 | 0 | 0 | 453 | 0.185504 |
ffba2f9fa76e114d9b8e5bc7903f58d0d6e6f1e3 | 183 | py | Python | 27 Body Mass Index.py | L0ganhowlett/Python_workbook-Ben_Stephenson | ab711257bd2da9b34c6001a8e09d20bfc0114a3f | [
"MIT"
] | null | null | null | 27 Body Mass Index.py | L0ganhowlett/Python_workbook-Ben_Stephenson | ab711257bd2da9b34c6001a8e09d20bfc0114a3f | [
"MIT"
] | null | null | null | 27 Body Mass Index.py | L0ganhowlett/Python_workbook-Ben_Stephenson | ab711257bd2da9b34c6001a8e09d20bfc0114a3f | [
"MIT"
] | null | null | null | # 27 Body mass Index
#Asking for height and weight of user
h = float(input("Enter the height = "))
m = float(input("Enter the mass = "))
print("Body Mass Index = ",m / (h * h))
| 30.5 | 40 | 0.622951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.655738 |
ffbb65836c12223fe2223ac56eec4039adb97ac9 | 4,221 | py | Python | xueshu/xueshu/settings.py | fsocietyjack/google_xueshu | b20293c865a8d3075b416543eea53adce00540a1 | [
"Apache-2.0"
] | null | null | null | xueshu/xueshu/settings.py | fsocietyjack/google_xueshu | b20293c865a8d3075b416543eea53adce00540a1 | [
"Apache-2.0"
] | null | null | null | xueshu/xueshu/settings.py | fsocietyjack/google_xueshu | b20293c865a8d3075b416543eea53adce00540a1 | [
"Apache-2.0"
] | null | null | null | # Scrapy settings for xueshu project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-middleware.... | 45.880435 | 906 | 0.800284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,867 | 0.916134 |
ffbb948d728f4e1e40d9f713346c629fba3183e5 | 143 | py | Python | weaviate/gql/__init__.py | ooxoo-bv/weaviate-python-client | f646a5c16b1c0cc7940b3ffa17a71efb6e96063a | [
"BSD-3-Clause"
] | 14 | 2019-11-04T14:18:21.000Z | 2022-03-31T09:11:51.000Z | weaviate/gql/__init__.py | ooxoo-bv/weaviate-python-client | f646a5c16b1c0cc7940b3ffa17a71efb6e96063a | [
"BSD-3-Clause"
] | 91 | 2019-11-04T11:26:42.000Z | 2022-03-22T10:22:44.000Z | weaviate/gql/__init__.py | ooxoo-bv/weaviate-python-client | f646a5c16b1c0cc7940b3ffa17a71efb6e96063a | [
"BSD-3-Clause"
] | 7 | 2021-05-14T14:53:42.000Z | 2022-03-31T15:09:55.000Z | """
GraphQL module used to create `get` and/or `aggregate` GraphQL requests from Weaviate.
"""
__all__ = ['Query']
from .query import Query
| 17.875 | 87 | 0.706294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.713287 |
4401734f9b9049dfaf10b947e8ca78dc704dd051 | 1,329 | py | Python | core/realm_cmd.py | pg83/mix | 1aa964214a239bb80b3a2fa408551929b6b77acc | [
"MIT"
] | 12 | 2021-12-04T09:38:50.000Z | 2022-03-22T16:27:30.000Z | core/realm_cmd.py | apatrushev/mix | 754fb2f7f308ad8285953aab9c4eba218968c0d4 | [
"MIT"
] | 1 | 2022-02-15T23:16:32.000Z | 2022-02-15T23:16:32.000Z | core/realm_cmd.py | apatrushev/mix | 754fb2f7f308ad8285953aab9c4eba218968c0d4 | [
"MIT"
] | 1 | 2022-02-08T18:57:50.000Z | 2022-02-08T18:57:50.000Z | import core.utils as cu
import core.manager as cm
import core.cmd_line as cc
def parse_args(ctx):
class Args:
def __init__(self):
args = ctx['args']
self.realm = args[0]
ctx['args'] = args[1:]
self.config, self.pkgs = cc.parse_pkgs(ctx)
return Args()
... | 22.15 | 80 | 0.598194 | 194 | 0.145974 | 375 | 0.282167 | 0 | 0 | 0 | 0 | 81 | 0.060948 |
4401e3beac1ac62391add8303cda7c0a7de04f42 | 476 | py | Python | hash_table/0500_keyboard_row/0500_keyboard_row.py | zdyxry/LeetCode | 33371285d0f3302158230f46e8b1b63b9f4639c4 | [
"Xnet",
"X11"
] | 6 | 2019-09-16T01:50:44.000Z | 2020-09-17T08:52:25.000Z | hash_table/0500_keyboard_row/0500_keyboard_row.py | zdyxry/LeetCode | 33371285d0f3302158230f46e8b1b63b9f4639c4 | [
"Xnet",
"X11"
] | null | null | null | hash_table/0500_keyboard_row/0500_keyboard_row.py | zdyxry/LeetCode | 33371285d0f3302158230f46e8b1b63b9f4639c4 | [
"Xnet",
"X11"
] | 4 | 2020-02-07T12:43:16.000Z | 2021-04-11T06:38:55.000Z | from typing import List
class Solution:
def findWords(self, words: List[str]) -> List[str]:
set1 = set('qwertyuiop')
set2 = set('asdfghjkl')
set3 = set('zxcvbnm')
res = []
for i in words:
x = i.lower()
setx = set(x)
if setx<=set1 or setx<=... | 25.052632 | 55 | 0.52521 | 363 | 0.762605 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0.12395 |
44020d41699d56cd4a9aa0050d5ffab5eb3750ee | 340 | py | Python | PythonServer/scripts/mongo_viewer.py | watfordxp/Hologram | 903d81713a609b7529074c0fed5add39ec2c491f | [
"Apache-2.0"
] | null | null | null | PythonServer/scripts/mongo_viewer.py | watfordxp/Hologram | 903d81713a609b7529074c0fed5add39ec2c491f | [
"Apache-2.0"
] | null | null | null | PythonServer/scripts/mongo_viewer.py | watfordxp/Hologram | 903d81713a609b7529074c0fed5add39ec2c491f | [
"Apache-2.0"
] | null | null | null | import pymongo
from pymongo.database import Database
__author__ = 'pryormic'
if __name__ == '__main__':
mongoClient = pymongo.MongoClient("localhost", 27017)
for item in mongoClient.db.matcher.find():
try:
del item['profile_picture']
except KeyError:
pass
prin... | 21.25 | 57 | 0.632353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.141176 |
44055cc8dd4a7b7cba19e2a5900454c473e4c188 | 52 | py | Python | goodok_mlu/trackers/visualize/__init__.py | roma-goodok/ml_utils | c1d6630021a519102b5c4e029cecccdd8a0da946 | [
"MIT"
] | null | null | null | goodok_mlu/trackers/visualize/__init__.py | roma-goodok/ml_utils | c1d6630021a519102b5c4e029cecccdd8a0da946 | [
"MIT"
] | null | null | null | goodok_mlu/trackers/visualize/__init__.py | roma-goodok/ml_utils | c1d6630021a519102b5c4e029cecccdd8a0da946 | [
"MIT"
] | 1 | 2021-03-29T13:15:02.000Z | 2021-03-29T13:15:02.000Z | ""
from .utils import (plot_lr_loss, plot_metrics)
| 13 | 47 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.038462 |
4408550e2698b3c69c89d360e4d3811ead5179c0 | 307 | py | Python | ramda/path.py | jakobkolb/ramda.py | 982b2172f4bb95b9a5b09eff8077362d6f2f0920 | [
"MIT"
] | null | null | null | ramda/path.py | jakobkolb/ramda.py | 982b2172f4bb95b9a5b09eff8077362d6f2f0920 | [
"MIT"
] | null | null | null | ramda/path.py | jakobkolb/ramda.py | 982b2172f4bb95b9a5b09eff8077362d6f2f0920 | [
"MIT"
] | null | null | null | from toolz import curry
@curry
def path(keys, dict):
"""Retrieve the value at a given path"""
if not keys:
raise ValueError("Expected at least one key, got {0}".format(keys))
current_value = dict
for key in keys:
current_value = current_value[key]
return current_value
| 23.615385 | 75 | 0.664495 | 0 | 0 | 0 | 0 | 280 | 0.912052 | 0 | 0 | 76 | 0.247557 |
440897e459f198c3b14d3d46c61083b908043a45 | 547 | py | Python | common/data_refinery_common/constants.py | erflynn/refinebio | 4ead4082a6b98f7fc8cffdc62c4394338a577f3d | [
"BSD-3-Clause"
] | 106 | 2018-03-05T16:24:47.000Z | 2022-03-19T19:12:25.000Z | common/data_refinery_common/constants.py | erflynn/refinebio | 4ead4082a6b98f7fc8cffdc62c4394338a577f3d | [
"BSD-3-Clause"
] | 1,494 | 2018-02-27T17:02:21.000Z | 2022-03-24T15:10:30.000Z | common/data_refinery_common/constants.py | erflynn/refinebio | 4ead4082a6b98f7fc8cffdc62c4394338a577f3d | [
"BSD-3-Clause"
] | 15 | 2019-02-03T01:34:59.000Z | 2022-03-29T01:59:13.000Z | from data_refinery_common.utils import get_env_variable
LOCAL_ROOT_DIR = get_env_variable("LOCAL_ROOT_DIR", "/home/user/data_store")
# We store what salmon ouptuts as its version, therefore for
# comparisions or defaults we shouldn't just store the version string,
# we need something with the pattern: 'salmon X.X.X'
C... | 49.727273 | 81 | 0.789762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 337 | 0.616088 |
4409126fcb48835e2b94769b277223312da2de0b | 4,680 | py | Python | db.py | seasidefm/botsuro-twitch | de87be41c0ea3b57816eda89cc3fea1169778343 | [
"Apache-2.0"
] | null | null | null | db.py | seasidefm/botsuro-twitch | de87be41c0ea3b57816eda89cc3fea1169778343 | [
"Apache-2.0"
] | null | null | null | db.py | seasidefm/botsuro-twitch | de87be41c0ea3b57816eda89cc3fea1169778343 | [
"Apache-2.0"
] | null | null | null | import datetime
import os
import string
import time
from bson.json_util import dumps
from json import loads
from pymongo import MongoClient
from utils import SongRequest, UserPayload
TEMP_MOVIE_DETAILS = """
Title: Maison Ikkoku |
Synopsis: Maison Ikkoku is a bitter-sweet romantic comedy involving a group of
madcap ... | 34.666667 | 100 | 0.577564 | 4,106 | 0.87735 | 0 | 0 | 80 | 0.017094 | 3,539 | 0.756197 | 1,122 | 0.239744 |
440a2c6ef802e9a82756a1ade4c76fb4a056e3ee | 20,200 | py | Python | hw2/train_pg_v2.py | HuanjunWang/rl_homework | 4c387fa7016e980fe1f72824e6ed5b980bf8e717 | [
"MIT"
] | null | null | null | hw2/train_pg_v2.py | HuanjunWang/rl_homework | 4c387fa7016e980fe1f72824e6ed5b980bf8e717 | [
"MIT"
] | null | null | null | hw2/train_pg_v2.py | HuanjunWang/rl_homework | 4c387fa7016e980fe1f72824e6ed5b980bf8e717 | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
import gym
import logz
import scipy.signal
import os
import time
from multiprocessing import Process
import shutil
class MyArgument(object):
def __init__(self,
exp_name='vpg',
env_name='CartPole-v1',
n_iter=100,
... | 44.789357 | 120 | 0.536188 | 11,689 | 0.578663 | 0 | 0 | 478 | 0.023663 | 0 | 0 | 1,712 | 0.084752 |
440afa545bf83412add26954940014f4b8250c80 | 664 | py | Python | lab1_python_intro/ex5_SOLUTION_conditional_number.py | ggruszczynski/CFDPython | 1662ede061fb899d6ed3f89c17877e65f65e521c | [
"CC-BY-3.0"
] | null | null | null | lab1_python_intro/ex5_SOLUTION_conditional_number.py | ggruszczynski/CFDPython | 1662ede061fb899d6ed3f89c17877e65f65e521c | [
"CC-BY-3.0"
] | null | null | null | lab1_python_intro/ex5_SOLUTION_conditional_number.py | ggruszczynski/CFDPython | 1662ede061fb899d6ed3f89c17877e65f65e521c | [
"CC-BY-3.0"
] | 1 | 2021-02-05T08:00:02.000Z | 2021-02-05T08:00:02.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 4 19:05:22 2020
@author: ggruszczynski
"""
import numpy as np
from numpy import linalg as LA
def dot_product(u,v):
return u @ v
def calc_condition_number_naive(f, u, v, delta):
cond_number = LA.norm(f(u+delta, v) - f(u,v)) / LA.norm(f(u,... | 20.75 | 67 | 0.614458 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 0.278614 |
440cd41dd7edeb177805774fe5728b8235f5028b | 891 | py | Python | heltour/tournament/migrations/0182_auto_20180728_2344.py | zbidwell/heltour | 3895142695096a81cc65c3fefb7d4501ed796f46 | [
"MIT"
] | 41 | 2016-08-17T19:58:42.000Z | 2021-11-08T10:52:07.000Z | heltour/tournament/migrations/0182_auto_20180728_2344.py | zbidwell/heltour | 3895142695096a81cc65c3fefb7d4501ed796f46 | [
"MIT"
] | 257 | 2016-08-17T22:29:05.000Z | 2022-01-13T00:42:05.000Z | heltour/tournament/migrations/0182_auto_20180728_2344.py | zbidwell/heltour | 3895142695096a81cc65c3fefb7d4501ed796f46 | [
"MIT"
] | 31 | 2016-09-23T23:36:14.000Z | 2022-01-14T17:05:08.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2018-07-28 23:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tournament', '0181_auto_20180610_2123'),
]
operations = [
migrations.AlterField(
model_name='modrequest... | 42.428571 | 525 | 0.662177 | 773 | 0.867565 | 0 | 0 | 0 | 0 | 0 | 0 | 529 | 0.593715 |
4410ba355da46d3266d0b93f07bb597a2d073c21 | 1,000 | py | Python | paramak/parametric_shapes/rotate_spline_shape.py | billingsley-john/paramak | 127d064f7bc0fd26305b4d83776d66b0e12aeeb0 | [
"MIT"
] | null | null | null | paramak/parametric_shapes/rotate_spline_shape.py | billingsley-john/paramak | 127d064f7bc0fd26305b4d83776d66b0e12aeeb0 | [
"MIT"
] | null | null | null | paramak/parametric_shapes/rotate_spline_shape.py | billingsley-john/paramak | 127d064f7bc0fd26305b4d83776d66b0e12aeeb0 | [
"MIT"
] | null | null | null |
from typing import Optional, Tuple
from paramak import RotateMixedShape
class RotateSplineShape(RotateMixedShape):
"""Rotates a 3d CadQuery solid from points connected with splines.
Args:
rotation_angle: The rotation_angle to use when revolving the solid.
Defaults to 360.0.
stp_... | 29.411765 | 93 | 0.633 | 923 | 0.923 | 0 | 0 | 0 | 0 | 0 | 0 | 364 | 0.364 |
441277bbdeb2f71476a9501404fc0d74022c981a | 1,212 | py | Python | Implementations/content/various/Python3.py | maheshschand/USACO | 52890a77f66f8b779ba2b1da0460b85dd9f38013 | [
"CC0-1.0"
] | 1,760 | 2017-05-21T21:07:06.000Z | 2022-03-29T13:15:08.000Z | Implementations/content/various/Python3.py | maheshschand/USACO | 52890a77f66f8b779ba2b1da0460b85dd9f38013 | [
"CC0-1.0"
] | 12 | 2018-01-24T02:41:53.000Z | 2022-03-17T13:09:26.000Z | Implementations/content/various/Python3.py | maheshschand/USACO | 52890a77f66f8b779ba2b1da0460b85dd9f38013 | [
"CC0-1.0"
] | 473 | 2017-07-06T04:53:41.000Z | 2022-03-28T13:03:28.000Z | /**
* Description: not PyPy3, solves CF Factorisation Collaboration
* Source: own
* Verification:
* https://codeforces.com/contest/1091/problem/G
* https://open.kattis.com/problems/catalansquare
*/
from math import *
import sys, random
def nextInt():
return int(input())
def nextStrs():
return input().split()
... | 22.036364 | 64 | 0.632013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306 | 0.252475 |
44130381bb4278ab02d62ff66252d0c7a113341f | 1,908 | py | Python | src/observer/observer_test.py | LeRyc/Robust-Robotic-Manipulation | 0463c55bd689081c119f1fc024f4c22704f91c6f | [
"MIT"
] | 1 | 2020-12-07T08:39:52.000Z | 2020-12-07T08:39:52.000Z | src/observer/observer_test.py | LeRyc/Robust-Robotic-Manipulation | 0463c55bd689081c119f1fc024f4c22704f91c6f | [
"MIT"
] | null | null | null | src/observer/observer_test.py | LeRyc/Robust-Robotic-Manipulation | 0463c55bd689081c119f1fc024f4c22704f91c6f | [
"MIT"
] | null | null | null | import unittest
import numpy as np
from src.commons import Box
from src.observer.base_observer import BaseObserver
from src.observer.noise_observer import NoiseObserver
from src.observer.shift_observer import ShiftObserver
class ObserverTests(unittest.TestCase):
"""Tests for the all Observer."""
#@unittest.ski... | 36.692308 | 117 | 0.66457 | 1,633 | 0.85587 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.110063 |
4414b94db096b9792beb0261cd50cbcc79200424 | 3,352 | py | Python | applications/fatigue_w_proxy/container4/app/predict.py | Dumpkin1996/clipper | 1a08bbdde846c3cfe76236c68548a848f71605e0 | [
"Apache-2.0"
] | 2 | 2019-04-24T13:46:28.000Z | 2019-05-28T06:59:26.000Z | applications/fatigue_w_proxy/container4/app/predict.py | SimonZsx/clipper | 457088be2ebe68c68b94d90389d1308e35b4c844 | [
"Apache-2.0"
] | null | null | null | applications/fatigue_w_proxy/container4/app/predict.py | SimonZsx/clipper | 457088be2ebe68c68b94d90389d1308e35b4c844 | [
"Apache-2.0"
] | 4 | 2019-04-03T11:03:57.000Z | 2019-06-26T08:22:38.000Z | import cv2
import numpy as np
import os
import json
import time
from datetime import datetime
def image_string(image):
image_encode=cv2.imencode('.jpg',image)[1]
imagelist=image_encode.tolist()
image_string=json.dumps(imagelist)
return image_string
def string_image(imagestring):
image_list=json.loa... | 28.649573 | 135 | 0.579356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 698 | 0.208234 |
4415e071d9ad66aaae324d50f83edc703e23afa3 | 95,661 | py | Python | Widget_Resources_rc.py | Prx001/Qt-Login-UI | e895c8714cfdde37d2ec3e56df9f0e7da121199a | [
"MIT"
] | 2 | 2021-09-25T18:53:31.000Z | 2021-09-26T00:37:09.000Z | Widget_Resources_rc.py | Prx001/Qt-Login-UI | e895c8714cfdde37d2ec3e56df9f0e7da121199a | [
"MIT"
] | null | null | null | Widget_Resources_rc.py | Prx001/Qt-Login-UI | e895c8714cfdde37d2ec3e56df9f0e7da121199a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.15.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\x11\xc6\
\x89\
\x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\x48\x44\x52\x00\
\x00\x01\xc0\x... | 63.901804 | 129 | 0.727067 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95,036 | 0.993467 |
4415e55d3bc9a15e470e4e72ba5fcd50a40432b6 | 1,544 | py | Python | examples/data_expl/stan_data.py | itsens/stan | 1632a55bf752bba09f3459e333f2a6970e1148c4 | [
"MIT"
] | null | null | null | examples/data_expl/stan_data.py | itsens/stan | 1632a55bf752bba09f3459e333f2a6970e1148c4 | [
"MIT"
] | null | null | null | examples/data_expl/stan_data.py | itsens/stan | 1632a55bf752bba09f3459e333f2a6970e1148c4 | [
"MIT"
] | null | null | null | from stan import StanData, StanDict
from pprint import pprint
if __name__ == '__main__':
data_1 = StanData()
data_1[1499763761] = StanDict(metric_1=1) # TODO: Double indexing if adding as StanDict
data_1[1499763761]['metric_2'] = 2
data_1[1499763761]['metric_3'] = 3
data_1.append(1499763762, Stan... | 31.510204 | 92 | 0.591969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 520 | 0.336788 |
441a6673a2780d5bb40a0a9b50d127826accc76e | 701 | py | Python | utils/image_utils.py | sciforce/phones-las | f95523fbbdf1dd7f1acce5b25c37b620f3eb8e9b | [
"Apache-2.0"
] | 35 | 2019-07-04T10:13:29.000Z | 2022-02-22T03:41:39.000Z | utils/image_utils.py | sciforce/phones-las | f95523fbbdf1dd7f1acce5b25c37b620f3eb8e9b | [
"Apache-2.0"
] | 7 | 2019-11-04T15:34:03.000Z | 2020-06-21T04:30:22.000Z | utils/image_utils.py | sciforce/phones-las | f95523fbbdf1dd7f1acce5b25c37b620f3eb8e9b | [
"Apache-2.0"
] | 5 | 2019-07-15T20:09:46.000Z | 2021-08-05T09:55:29.000Z | import tensorflow as tf
__all__ = [
'create_attention_images',
]
"""Reference: https://github.com/tensorflow/nmt/blob/master/nmt/attention_model.py"""
def create_attention_images(final_context_state):
try:
attention_images = final_context_state.alignment_history.stack()
except AttributeError:
... | 29.208333 | 85 | 0.724679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 246 | 0.350927 |
441af188b0e77d5b4cb9c854158c2c022f4de46b | 2,604 | py | Python | cryptofeed_werks/exchanges/bitfinex/base.py | globophobe/crypto-tick-data | 7ec5d1e136b9bc27ae936f55cf6ab7fe5e37bda4 | [
"MIT"
] | null | null | null | cryptofeed_werks/exchanges/bitfinex/base.py | globophobe/crypto-tick-data | 7ec5d1e136b9bc27ae936f55cf6ab7fe5e37bda4 | [
"MIT"
] | null | null | null | cryptofeed_werks/exchanges/bitfinex/base.py | globophobe/crypto-tick-data | 7ec5d1e136b9bc27ae936f55cf6ab7fe5e37bda4 | [
"MIT"
] | null | null | null | from datetime import datetime
from decimal import Decimal
from typing import Optional
import numpy as np
from cryptofeed_werks.controllers import NonSequentialIntegerMixin
from cryptofeed_werks.models import Symbol
from .api import get_bitfinex_api_timestamp, get_trades
class BitfinexMixin(NonSequentialIntegerMixi... | 33.384615 | 86 | 0.665515 | 2,328 | 0.893666 | 0 | 0 | 0 | 0 | 0 | 0 | 1,017 | 0.390403 |
441d5ab56b037273d32e259b53e92f350b0a92db | 893 | py | Python | stubbs/constants.py | holy-crust/reclaimer | 0aa693da3866ce7999c68d5f71f31a9c932cdb2c | [
"MIT"
] | null | null | null | stubbs/constants.py | holy-crust/reclaimer | 0aa693da3866ce7999c68d5f71f31a9c932cdb2c | [
"MIT"
] | null | null | null | stubbs/constants.py | holy-crust/reclaimer | 0aa693da3866ce7999c68d5f71f31a9c932cdb2c | [
"MIT"
] | null | null | null | from reclaimer.constants import *
from reclaimer.util import fourcc_to_int
# maps tag class four character codes(fccs) in
# their string encoding to their int encoding.
stubbs_tag_class_fcc_to_be_int = {}
stubbs_tag_class_fcc_to_le_int = {}
# maps tag class four character codes(fccs) in
# their int encoding to... | 34.346154 | 69 | 0.771557 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.24972 |
441fce3d830865a276e3f3d84345a049156d47c8 | 185 | py | Python | app/__init__.py | MaggieChege/Panda- | a23ac528170c22335c0c2f1da98c440331931358 | [
"MIT"
] | null | null | null | app/__init__.py | MaggieChege/Panda- | a23ac528170c22335c0c2f1da98c440331931358 | [
"MIT"
] | null | null | null | app/__init__.py | MaggieChege/Panda- | a23ac528170c22335c0c2f1da98c440331931358 | [
"MIT"
] | null | null | null | from flask import Flask,Blueprint
def create_app(config_name):
app=Flask(__name__)
from app.api.v2 import blue as v2
app.register_blueprint(v2)
return app
| 13.214286 | 37 | 0.686486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
441ff495ccacaddb8703705c1a18f78f8327fb5b | 3,276 | py | Python | inheritors.py | master9robot/python_lesson | d50466ebde95529ac2b4011d671b4ccebf121dc3 | [
"MIT"
] | null | null | null | inheritors.py | master9robot/python_lesson | d50466ebde95529ac2b4011d671b4ccebf121dc3 | [
"MIT"
] | null | null | null | inheritors.py | master9robot/python_lesson | d50466ebde95529ac2b4011d671b4ccebf121dc3 | [
"MIT"
] | null | null | null |
#An iterator is an object that contains a countable number of values.
#An iterator is an object that can be iterated upon, meaning that you can traverse through all the values.
#Technically, in Python, an iterator is an object which implements the iterator protocol, which consist of the methods __iter__() and __next... | 28.486957 | 181 | 0.728632 | 333 | 0.101648 | 0 | 0 | 0 | 0 | 0 | 0 | 2,109 | 0.643773 |
442337ece147504cb1df39981a0b29a4670fe631 | 530 | py | Python | PDF/pymupdf_get_bookmarks.py | MartinThoma/algorithms | 4347a9b7bf54ef378d16d26ef9e357ddc710664b | [
"MIT"
] | 209 | 2015-01-02T03:47:12.000Z | 2022-03-06T16:54:47.000Z | PDF/pymupdf_get_bookmarks.py | Kerwin-Xie/algorithms | 4347a9b7bf54ef378d16d26ef9e357ddc710664b | [
"MIT"
] | 3 | 2015-12-06T14:40:34.000Z | 2021-03-22T17:40:24.000Z | PDF/pymupdf_get_bookmarks.py | Kerwin-Xie/algorithms | 4347a9b7bf54ef378d16d26ef9e357ddc710664b | [
"MIT"
] | 114 | 2015-01-31T08:37:10.000Z | 2022-02-23T04:42:28.000Z | # Type annotations are pretty awesome:
# https://medium.com/analytics-vidhya/type-annotations-in-python-3-8-3b401384403d
from typing import Dict
import fitz # pip install pymupdf
def get_bookmarks(filepath: str) -> Dict[int, str]:
# WARNING! One page can have multiple bookmarks!
bookmarks = {}
with fitz... | 27.894737 | 81 | 0.669811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 228 | 0.426966 |
4423695274e7e7ebd5ce1d2a0f4802ad2c73958f | 8,346 | py | Python | mcnf_do_test.py | SuReLI/Dynamic_mcnf_paper_code | 86a07ac31feac725d02ec55d553d20f12bb355c5 | [
"CNRI-Python"
] | null | null | null | mcnf_do_test.py | SuReLI/Dynamic_mcnf_paper_code | 86a07ac31feac725d02ec55d553d20f12bb355c5 | [
"CNRI-Python"
] | null | null | null | mcnf_do_test.py | SuReLI/Dynamic_mcnf_paper_code | 86a07ac31feac725d02ec55d553d20f12bb355c5 | [
"CNRI-Python"
] | 1 | 2022-03-01T09:53:20.000Z | 2022-03-01T09:53:20.000Z | import random
import time
from mcnf_dynamic import *
from instance_mcnf import generate_instance, mutate_instance
from k_shortest_path import k_shortest_path_all_destination
from launch_dataset_dynamic import analyse_results_list
def update_graph_capacity(graph, path, demand, reverse_graph=False):
# deecrease th... | 57.958333 | 320 | 0.775222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,195 | 0.263 |
44252fea2299758e673934a1ecda9362f2441cf3 | 2,058 | py | Python | muddery/commands/player.py | MarsZone/DreamLand | 87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | muddery/commands/player.py | MarsZone/DreamLand | 87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | muddery/commands/player.py | MarsZone/DreamLand | 87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | """
This is adapt from evennia/evennia/commands/default/player.py.
The licence of Evennia can be found in evennia/LICENSE.txt.
"""
import time
from django.conf import settings
from evennia.server.sessionhandler import SESSIONS
from evennia.commands.command import Command
from evennia.utils import utils, create, search... | 32.15625 | 90 | 0.64723 | 1,070 | 0.519922 | 0 | 0 | 0 | 0 | 0 | 0 | 883 | 0.429057 |
442618fc9c28b2ce42e414759738c3f72d214758 | 20,002 | py | Python | python_utilities/parallel.py | sdaxen/python_utilities | 7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb | [
"MIT"
] | 2 | 2020-04-13T20:17:36.000Z | 2020-05-12T01:13:12.000Z | python_utilities/parallel.py | sethaxen/python_utilities | 7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb | [
"MIT"
] | 5 | 2015-10-20T22:57:51.000Z | 2017-09-07T01:10:23.000Z | python_utilities/parallel.py | sethaxen/python_utilities | 7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb | [
"MIT"
] | 3 | 2015-08-17T17:55:41.000Z | 2018-09-19T13:56:42.000Z | """Tools to aid in parallelizing a function call.
Default method is MPI, if available. Fallback is concurrent.futures. If all
else fails, final fallback is serial.
Author: Seth Axen
Email: seth.axen@gmail.com
"""
import os
import sys
import logging
from copy import copy
import multiprocessing
try:
from itertools ... | 38.026616 | 114 | 0.545945 | 16,197 | 0.809769 | 7,434 | 0.371663 | 0 | 0 | 0 | 0 | 6,745 | 0.337216 |
44270b1635eefee664fb5fb4985c764d1d994824 | 187 | py | Python | AT_Basic/AT_readexternalfile.py | huertatipografica/huertatipografica-fl-scripts | f048705c217132b3f103a773aaf20033874f6579 | [
"Apache-2.0"
] | 1 | 2020-02-06T22:18:07.000Z | 2020-02-06T22:18:07.000Z | AT_Basic/AT_readexternalfile.py | huertatipografica/huertatipografica-fl-scripts | f048705c217132b3f103a773aaf20033874f6579 | [
"Apache-2.0"
] | null | null | null | AT_Basic/AT_readexternalfile.py | huertatipografica/huertatipografica-fl-scripts | f048705c217132b3f103a773aaf20033874f6579 | [
"Apache-2.0"
] | null | null | null | #FLM: AT URL file
import urllib
f = urllib.urlopen('http://www.andrestorresi.com.ar/test.txt')
readdata = f.read()
readdata2 = unicode( readdata, "iso-8859-1" )
f.close()
print readdata2
| 23.375 | 62 | 0.721925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.379679 |
44274d06c13806c20cb7ccbcad1c6195b3fdd749 | 405 | py | Python | Algorithm/coding_interviews/Python/sword-for-offer/43_num_of_one.py | ck76/awesome-cs | 48cba4081dc5290f07e305850b9a3a7e8a590b64 | [
"Apache-2.0"
] | 1 | 2021-11-16T13:37:41.000Z | 2021-11-16T13:37:41.000Z | Algorithm/coding_interviews/Python/sword-for-offer/43_num_of_one.py | ck76/awesome-cs | 48cba4081dc5290f07e305850b9a3a7e8a590b64 | [
"Apache-2.0"
] | null | null | null | Algorithm/coding_interviews/Python/sword-for-offer/43_num_of_one.py | ck76/awesome-cs | 48cba4081dc5290f07e305850b9a3a7e8a590b64 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/python3
# -*- coding: utf-8 -*-
# @Time : 2019/3/10 5:21 PM
# @Author : xiaoliji
# @Email : yutian9527@gmail.com
"""
1~n整数中1出现的次数。
>>> countDigitOne(12)
5
"""
def countDigitOne(n: int) -> int:
counter, i = 0, 1
while i <= n:
divider = i * 10
counter += (n // d... | 19.285714 | 75 | 0.501235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.48227 |
4428f0e65f1454c8ca62ff07f9d8c0d8f778e7d4 | 22,957 | py | Python | CoMPILE_github/test_ranking.py | TmacMai/CoMPILE_Inductive_Knowledge_Graph | 072885012893a50b47cdee17f2e47f671e33bc00 | [
"MIT"
] | 14 | 2020-12-07T16:36:30.000Z | 2022-03-05T12:31:30.000Z | CoMPILE_github/test_ranking.py | TmacMai/CoMPILE_Inductive_Knowledge_Graph | 072885012893a50b47cdee17f2e47f671e33bc00 | [
"MIT"
] | 3 | 2021-04-06T01:22:32.000Z | 2022-03-12T01:39:12.000Z | CoMPILE_github/test_ranking.py | TmacMai/CoMPILE_Inductive_Knowledge_Graph | 072885012893a50b47cdee17f2e47f671e33bc00 | [
"MIT"
] | 4 | 2021-03-10T05:10:05.000Z | 2022-03-05T12:32:45.000Z | import os
import random
import argparse
import logging
import json
import time
import multiprocessing as mp
import scipy.sparse as ssp
from tqdm import tqdm
import networkx as nx
import torch
import numpy as np
import dgl
#os.environ["CUDA_VISIBLE_DEVICES"]="1"
def process_files(files, saved_relation2id, add_traspose... | 42.200368 | 200 | 0.660191 | 0 | 0 | 753 | 0.0328 | 0 | 0 | 0 | 0 | 4,152 | 0.18086 |
4428fa67a48dd401185f9736e5599509b0b9fc95 | 652 | py | Python | scheduler/scheduler.py | ericlearning/General-I2I | ba7c5d6a582bdf2e7b53c0e20c31e9097b1883a9 | [
"MIT"
] | 1 | 2019-12-20T15:08:18.000Z | 2019-12-20T15:08:18.000Z | scheduler/scheduler.py | ericlearning/General-I2I | ba7c5d6a582bdf2e7b53c0e20c31e9097b1883a9 | [
"MIT"
] | null | null | null | scheduler/scheduler.py | ericlearning/General-I2I | ba7c5d6a582bdf2e7b53c0e20c31e9097b1883a9 | [
"MIT"
] | null | null | null | import math
class LinearDecay():
def __init__(self, opt, optimizer, iter_num):
self.optimizer = optimizer
self.init = opt.lr
self.tot = iter_num * opt.epoch
self.st = iter_num * opt.decay_start_epoch
if(self.st < 0): self.st = self.tot
self.cnt = 0
self.state_dict = self.optimizer.state_dict()
def ste... | 25.076923 | 81 | 0.662577 | 639 | 0.980061 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.01227 |
4429767250a51905f861cf7049625276399f4004 | 23,698 | py | Python | pm.py | oscarmonllor99/dark_matter_study | b301cc2a4aa33d8b044b99da6310483814df55f1 | [
"MIT"
] | null | null | null | pm.py | oscarmonllor99/dark_matter_study | b301cc2a4aa33d8b044b99da6310483814df55f1 | [
"MIT"
] | null | null | null | pm.py | oscarmonllor99/dark_matter_study | b301cc2a4aa33d8b044b99da6310483814df55f1 | [
"MIT"
] | null | null | null | import numpy as np
from numba import jit
import random
import time
import argparse
##############################################
######### PARÁMETROS FÍSICOS ################
##############################################
Q = 1.3
NUM_PARTICLES = 100000 #Número de partículas
NUM_PARTICLES_BULGE = int(0.14 ... | 34.85 | 113 | 0.433243 | 0 | 0 | 0 | 0 | 9,123 | 0.384645 | 0 | 0 | 4,332 | 0.182646 |
4429e980a041daa0f6ae5470ca29efeec75f048a | 1,526 | py | Python | 08_apples_and_bananas/apples.py | trev-f/tiny_python_projects | 20b05f1def834bc9deda58ebdb5cb1d7fe647e45 | [
"MIT"
] | null | null | null | 08_apples_and_bananas/apples.py | trev-f/tiny_python_projects | 20b05f1def834bc9deda58ebdb5cb1d7fe647e45 | [
"MIT"
] | null | null | null | 08_apples_and_bananas/apples.py | trev-f/tiny_python_projects | 20b05f1def834bc9deda58ebdb5cb1d7fe647e45 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author : treevooor <treevooor@localhost>
Date : 2021-11-09
Purpose: Apples and bananas
"""
import argparse
import os
# --------------------------------------------------
def get_args():
"""Get command-line arguments"""
parser = argparse.ArgumentParser(
description='Apple... | 24.222222 | 70 | 0.467235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 468 | 0.306684 |
442b111ca91187ce9c255240e5dfebe65f40b89f | 348 | py | Python | configs/siam_hrnet/siam_hr18_512x512_40k_s2looking_backsplit.py | slchenchn/rsaicp_CD | 08723b6da125b4ebe7f4777be8ef14a1b5746523 | [
"Apache-2.0"
] | null | null | null | configs/siam_hrnet/siam_hr18_512x512_40k_s2looking_backsplit.py | slchenchn/rsaicp_CD | 08723b6da125b4ebe7f4777be8ef14a1b5746523 | [
"Apache-2.0"
] | null | null | null | configs/siam_hrnet/siam_hr18_512x512_40k_s2looking_backsplit.py | slchenchn/rsaicp_CD | 08723b6da125b4ebe7f4777be8ef14a1b5746523 | [
"Apache-2.0"
] | 1 | 2022-03-21T07:37:24.000Z | 2022-03-21T07:37:24.000Z | '''
Author: Shuailin Chen
Created Date: 2021-07-06
Last Modified: 2021-08-18
content: siamese HR18 with background splitting
'''
_base_ = [
'./siam_hr18_512x512_40k_s2looking.py'
]
model = dict(
decode_head=dict(
post_process=dict(
type='SetConstValue',
position=0,
... | 18.315789 | 48 | 0.603448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.522989 |
442b854ea63b2f9922fd81c1650309f6e282398b | 221 | py | Python | nsd1806/python/day05/mydict.py | MrWangwf/nsd1806 | 069e993b0bb64cb21adc2a25aa56f6da674453bc | [
"Apache-2.0"
] | null | null | null | nsd1806/python/day05/mydict.py | MrWangwf/nsd1806 | 069e993b0bb64cb21adc2a25aa56f6da674453bc | [
"Apache-2.0"
] | null | null | null | nsd1806/python/day05/mydict.py | MrWangwf/nsd1806 | 069e993b0bb64cb21adc2a25aa56f6da674453bc | [
"Apache-2.0"
] | null | null | null | adict = {'name': 'bob', 'age': 23}
print('bob' in adict) # bob是字典的key么？
print('name' in adict) # True
print(len(adict)) # 2
for key in adict:
print('%s: %s' % (key, adict[key]))
print('%(name)s: %(age)s' % adict)
| 24.555556 | 39 | 0.574661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 0.381974 |
442c17486ddf7abefd979fe9ad65f0fda830f7ae | 1,774 | py | Python | examples/streak/plot.py | bjornaa/ladim2 | f6c1be9028ca54370ce33dde25b005d5b0bb4677 | [
"MIT"
] | null | null | null | examples/streak/plot.py | bjornaa/ladim2 | f6c1be9028ca54370ce33dde25b005d5b0bb4677 | [
"MIT"
] | null | null | null | examples/streak/plot.py | bjornaa/ladim2 | f6c1be9028ca54370ce33dde25b005d5b0bb4677 | [
"MIT"
] | null | null | null | """Plot a snapshot of the particle distribution"""
# --------------------------------
# Bjørn Ådlandsvik <bjorn@ho.no>
# Institute of Marine Research
# November 2020
# --------------------------------
import numpy as np
import matplotlib.pyplot as plt
from netCDF4 import Dataset
from postladim import ParticleFile
#... | 22.74359 | 84 | 0.620068 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 631 | 0.355293 |
442c5ef29de8908bad5f89548198064f8946d2de | 1,447 | py | Python | src/weapon.py | Jakub21/Disk-Game | bcfc11137f8c0c0d996cfdbfe45224cf0ed060ce | [
"MIT"
] | null | null | null | src/weapon.py | Jakub21/Disk-Game | bcfc11137f8c0c0d996cfdbfe45224cf0ed060ce | [
"MIT"
] | null | null | null | src/weapon.py | Jakub21/Disk-Game | bcfc11137f8c0c0d996cfdbfe45224cf0ed060ce | [
"MIT"
] | null | null | null | class Weapon:
'''Create a weapon
Init Parameters:
damage [int] How much damage this weapon deals
rate [int] How much ticks it takes for this weapon to prepare for
next shoot
range [int] Range of the weapon
ignore_armor [bool] If this weapon ignores armor (armor value ... | 37.102564 | 79 | 0.617139 | 1,446 | 0.999309 | 0 | 0 | 0 | 0 | 0 | 0 | 734 | 0.507256 |
442dae1169b8f000e9fec9855121b98524da0cb8 | 1,945 | py | Python | tests/test-data/mock.py | mr-c/CTDConverter | 84c58674405d24cc21e765367fa089fa31a5df0f | [
"MIT"
] | null | null | null | tests/test-data/mock.py | mr-c/CTDConverter | 84c58674405d24cc21e765367fa089fa31a5df0f | [
"MIT"
] | null | null | null | tests/test-data/mock.py | mr-c/CTDConverter | 84c58674405d24cc21e765367fa089fa31a5df0f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# little mock app to handle ouput file parameters
# i.e. to create them
import os
import shutil
import sys
from CTDopts.CTDopts import CTDModel, _InFile, _OutFile
# from argparse import ArgumentParser
# parser = ArgumentParser(prog="mock.py", description="MOCK", add_help=True)
# parser.add_arg... | 35.363636 | 105 | 0.560925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 762 | 0.391774 |
442e571ab100fe4f8465f2178b6129b91ab30a27 | 1,323 | py | Python | cubes_lite/sql/request.py | notexistence/cubes_lite | 2cbc54509e6dc8a529c9f33fd39d0f659d6a5647 | [
"MIT"
] | null | null | null | cubes_lite/sql/request.py | notexistence/cubes_lite | 2cbc54509e6dc8a529c9f33fd39d0f659d6a5647 | [
"MIT"
] | null | null | null | cubes_lite/sql/request.py | notexistence/cubes_lite | 2cbc54509e6dc8a529c9f33fd39d0f659d6a5647 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import collections
from cubes_lite.query import Request, Response
__all__ = (
'ListSQLRequest',
'ListSQLResponse',
'OneRowSQLRequest',
'OneRowSQLResponse',
)
class ListSQLResponse(Response):
def __init__(self, *args, **kwargs):
... | 21.33871 | 62 | 0.59486 | 1,068 | 0.807256 | 390 | 0.294785 | 58 | 0.04384 | 0 | 0 | 93 | 0.070295 |
443047ead0ffbfc30ef88ed167c3c08722403b2c | 1,166 | py | Python | render.py | 22preich/BlenderNetworkRender | 53b4f036c3adea31d947d64aa1ed0983a29c8e07 | [
"MIT"
] | 1 | 2021-09-12T06:48:50.000Z | 2021-09-12T06:48:50.000Z | render.py | 22preich/BlenderNetworkRender | 53b4f036c3adea31d947d64aa1ed0983a29c8e07 | [
"MIT"
] | null | null | null | render.py | 22preich/BlenderNetworkRender | 53b4f036c3adea31d947d64aa1ed0983a29c8e07 | [
"MIT"
] | null | null | null | import bpy
import sys
dir = "C:/Users/foggy/Appdata/roaming/python37/site-packages"
sys.path.append(dir)
from flask import Flask, request, render_template
from werkzeug.utils import secure_filename
import eventlet
from eventlet import wsgi
app = Flask(__name__)
@app.route('/')
def hello_world():
return render_te... | 27.761905 | 126 | 0.704117 | 0 | 0 | 0 | 0 | 322 | 0.276158 | 0 | 0 | 276 | 0.236707 |
4431c29408229b2b646051a0283bc112013465f4 | 2,292 | py | Python | tests/test_docker_stats.py | KristobalJunta/docker-stats-graph | 724d6d71d420bf2e03a1e5ae2bf604ff5d40f69f | [
"MIT"
] | 8 | 2021-02-19T23:08:49.000Z | 2022-02-09T14:25:21.000Z | tests/test_docker_stats.py | KristobalJunta/docker-stats-graph | 724d6d71d420bf2e03a1e5ae2bf604ff5d40f69f | [
"MIT"
] | null | null | null | tests/test_docker_stats.py | KristobalJunta/docker-stats-graph | 724d6d71d420bf2e03a1e5ae2bf604ff5d40f69f | [
"MIT"
] | 2 | 2021-02-19T07:48:01.000Z | 2021-06-01T14:20:34.000Z | import os
import unittest
import warnings
from src import ROOT_PATH
from src.dockerstats import DockerStats
class ParserTest(unittest.TestCase):
def setUp(self):
path = os.path.join(ROOT_PATH, "tests", "resources", "data.csv")
self.ds = DockerStats(path)
def test_dataframe_creation(self):
... | 35.261538 | 73 | 0.652269 | 2,131 | 0.929756 | 0 | 0 | 0 | 0 | 0 | 0 | 244 | 0.106457 |
4433556a7cfa388b2c20801fb5e687c8efe75005 | 3,889 | py | Python | lab6/main_romain_claret_and_sylvain_robert-nicoud_lab6.py | RomainClaret/msc.ml.labs | 4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5 | [
"MIT"
] | null | null | null | lab6/main_romain_claret_and_sylvain_robert-nicoud_lab6.py | RomainClaret/msc.ml.labs | 4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5 | [
"MIT"
] | null | null | null | lab6/main_romain_claret_and_sylvain_robert-nicoud_lab6.py | RomainClaret/msc.ml.labs | 4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# 26.04.21
# Assignment lab 06
# Master Class: Machine Learning (5MI2018)
# Faculty of Economic Science
# University of Neuchatel (Switzerland)
# Lab 6, see ML21_Exercise_6.pdf for more information
# https://github.com/RomainClaret/msc.ml.labs
# Authors:
# - Romain Claret @RomainClaret
# - Sy... | 31.877049 | 109 | 0.735665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,676 | 0.430959 |
44339024d54ca9de139f09917b4ba6a7b238c654 | 17,294 | py | Python | plot_residuals_location.py | chriskjou/opennmt-inspection | c70e1f3665ed29b20abcf464e4c73aa7e228a046 | [
"MIT"
] | 2 | 2019-03-18T15:54:32.000Z | 2019-03-22T02:21:38.000Z | plot_residuals_location.py | chriskjou/opennmt-inspection | c70e1f3665ed29b20abcf464e4c73aa7e228a046 | [
"MIT"
] | 6 | 2020-01-28T22:48:37.000Z | 2020-08-17T16:09:03.000Z | plot_residuals_location.py | chriskjou/opennmt-inspection | c70e1f3665ed29b20abcf464e4c73aa7e228a046 | [
"MIT"
] | 1 | 2019-08-04T17:36:22.000Z | 2019-08-04T17:36:22.000Z | import numpy as np
import pickle
import sys
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
plt.switch_backend('agg')
import argparse
import os
from tqdm import tqdm
import math
import helper
map_dict = {
'avg': "Average",
'min': "Minimum",
'max': "Maximum",
'last': "Last",
"spanish": "... | 48.853107 | 237 | 0.6966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,158 | 0.413901 |
44348a202532b675204c5d619a14b8c76d684034 | 3,061 | py | Python | 13_week/pr12_1 .py | WoojaeJang/AppliedOptimization-Gurobi | 067e4e5a0391de74f673f935b0ba765b037a4149 | [
"AFL-1.1"
] | null | null | null | 13_week/pr12_1 .py | WoojaeJang/AppliedOptimization-Gurobi | 067e4e5a0391de74f673f935b0ba765b037a4149 | [
"AFL-1.1"
] | null | null | null | 13_week/pr12_1 .py | WoojaeJang/AppliedOptimization-Gurobi | 067e4e5a0391de74f673f935b0ba765b037a4149 | [
"AFL-1.1"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 26 10:28:54 2021
@author: woojae-macbook13
"""
from pandas import*
import pandas as pd
import numpy as np
# path = ".\\"
filename = "pr1.xlsx"
# dataset = pd.read_excel(path+filename)
dataset = pd.read_excel(filename)
order = "고객"
itemcode = "it... | 20.965753 | 100 | 0.601764 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,346 | 0.371926 |
4434c59b9a9448ef9ebd0ccd1c34428d0cf3497c | 879 | py | Python | admin/migrations/0005_auto_20180416_1045.py | adelsonllima/djangoplus | a4ce50bf8231a0d9a4a40751f0d076c2e9931f44 | [
"BSD-3-Clause"
] | 21 | 2017-10-08T23:19:47.000Z | 2020-01-16T20:02:08.000Z | admin/migrations/0005_auto_20180416_1045.py | adelsonllima/djangoplus | a4ce50bf8231a0d9a4a40751f0d076c2e9931f44 | [
"BSD-3-Clause"
] | 6 | 2020-06-03T05:30:52.000Z | 2022-01-13T00:44:26.000Z | admin/migrations/0005_auto_20180416_1045.py | adelsonllima/djangoplus | a4ce50bf8231a0d9a4a40751f0d076c2e9931f44 | [
"BSD-3-Clause"
] | 9 | 2017-10-09T22:58:31.000Z | 2021-11-20T15:20:18.000Z | # Generated by Django 2.0.3 on 2018-04-16 10:45
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('admin', '0004_auto_20180416_1037'),
]
operations = [
migrations.RemoveField(
model_name='organizationrole',
name='organizati... | 22.538462 | 47 | 0.523322 | 794 | 0.903299 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.228669 |
443586b918e80fa19a7a9248966f3748b23543dc | 468 | py | Python | loso/util.py | fangpenlin/loso | 8677ed754c793887dde10feb9a13dce25ea09f58 | [
"BSD-3-Clause"
] | 28 | 2017-03-21T09:04:41.000Z | 2021-06-13T06:19:51.000Z | loso/util.py | JoyCTsai/loso | 8677ed754c793887dde10feb9a13dce25ea09f58 | [
"BSD-3-Clause"
] | null | null | null | loso/util.py | JoyCTsai/loso | 8677ed754c793887dde10feb9a13dce25ea09f58 | [
"BSD-3-Clause"
] | 8 | 2017-07-23T06:04:49.000Z | 2021-12-25T02:27:45.000Z | def ngram(n, terms):
"""An iterator for iterating n-gram terms from a text, for example:
>>> list(ngram(2, ['Today', 'is', 'my', 'day']))
[['Today', 'is'], ['is', 'my'], ['my', 'day']]
>>> list(ngram(3, ['Today', 'is', 'my', 'day']))
[['Today', 'is', 'my'], ['is', 'my', 'day']]
... | 29.25 | 71 | 0.472222 | 0 | 0 | 391 | 0.83547 | 0 | 0 | 0 | 0 | 308 | 0.65812 |
44360d34265fd7e06496bfa898e736b2d0b350b2 | 52,494 | py | Python | test_main.py | zlijingtao/DAC20_reconstruction | c928cda1c8e492c05110d6c219c1ed529924e127 | [
"Apache-2.0"
] | 2 | 2021-03-13T19:27:04.000Z | 2021-11-17T17:14:19.000Z | test_main.py | zlijingtao/DAC20_reconstruction | c928cda1c8e492c05110d6c219c1ed529924e127 | [
"Apache-2.0"
] | null | null | null | test_main.py | zlijingtao/DAC20_reconstruction | c928cda1c8e492c05110d6c219c1ed529924e127 | [
"Apache-2.0"
] | null | null | null | from __future__ import division
from __future__ import absolute_import
import os
import sys
import shutil
import time
import random
import argparse
import torch
import torch.backends.cudnn as cudnn
import torchvision.datasets as dset
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
from torc... | 48.560592 | 364 | 0.600792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13,266 | 0.252715 |
443700d8d4a4dfd52eed31c8fee8a0bf946c135c | 6,753 | py | Python | fbnet/command_runner/device_info.py | singhaditya28/FCR | d582cc38a87940f799186e1a35637343b4ced3bd | [
"MIT"
] | null | null | null | fbnet/command_runner/device_info.py | singhaditya28/FCR | d582cc38a87940f799186e1a35637343b4ced3bd | [
"MIT"
] | null | null | null | fbnet/command_runner/device_info.py | singhaditya28/FCR | d582cc38a87940f799186e1a35637343b4ced3bd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import re
from collections import namedtuple
from .base_service import Servi... | 28.858974 | 79 | 0.606101 | 6,244 | 0.924626 | 0 | 0 | 907 | 0.134311 | 561 | 0.083074 | 2,252 | 0.333481 |
443924889fb2bc02902f4276bdfdab0574a5167f | 493 | py | Python | lbry/lbry/wallet/__init__.py | JupyterJones/lbry-sdk | be89436fa869e1b4b9f05c3faa5c126ebcfe6e57 | [
"MIT"
] | null | null | null | lbry/lbry/wallet/__init__.py | JupyterJones/lbry-sdk | be89436fa869e1b4b9f05c3faa5c126ebcfe6e57 | [
"MIT"
] | null | null | null | lbry/lbry/wallet/__init__.py | JupyterJones/lbry-sdk | be89436fa869e1b4b9f05c3faa5c126ebcfe6e57 | [
"MIT"
] | null | null | null | __node_daemon__ = 'lbrycrdd'
__node_cli__ = 'lbrycrd-cli'
__node_bin__ = ''
__node_url__ = (
'https://github.com/lbryio/lbrycrd/releases/download/v0.17.2.1/lbrycrd-linux.zip'
# 'https://github.com/lbryio/lbrycrd/releases/download/v0.17.3.1/lbrycrd-linux-1731.zip'
)
__spvserver__ = 'lbry.wallet.server.coin.LBCRe... | 37.923077 | 92 | 0.78499 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 0.466531 |
443a0fbbf12f2c065e3a541ea080bc7fd07fd5a3 | 6,797 | py | Python | logdweb/views.py | hiidef/logdweb | c80d47f4c5759cadeb3088b9f7fa093c30e11696 | [
"MIT"
] | 1 | 2015-08-30T02:36:13.000Z | 2015-08-30T02:36:13.000Z | logdweb/views.py | hiidef/logdweb | c80d47f4c5759cadeb3088b9f7fa093c30e11696 | [
"MIT"
] | null | null | null | logdweb/views.py | hiidef/logdweb | c80d47f4c5759cadeb3088b9f7fa093c30e11696 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""logdweb admin views."""
try:
import simplejson as json
except ImportError:
import json
import time
from django.core.urlresolvers import reverse
from django.http import HttpResponse, Http404, HttpResponseRedirect
from django_jinja2 import render_to_response, ... | 35.586387 | 88 | 0.692364 | 0 | 0 | 0 | 0 | 5,454 | 0.802413 | 0 | 0 | 999 | 0.146977 |
443b502ac58401b00845def4467d9edb1103c525 | 432 | py | Python | iocage/tests/functional_tests/0003_ioc_fetch_test.py | project-fifo/iocage | 1b8669bc2119718dbea8f2707a4eb4c92197c0f0 | [
"BSD-2-Clause"
] | null | null | null | iocage/tests/functional_tests/0003_ioc_fetch_test.py | project-fifo/iocage | 1b8669bc2119718dbea8f2707a4eb4c92197c0f0 | [
"BSD-2-Clause"
] | null | null | null | iocage/tests/functional_tests/0003_ioc_fetch_test.py | project-fifo/iocage | 1b8669bc2119718dbea8f2707a4eb4c92197c0f0 | [
"BSD-2-Clause"
] | 1 | 2022-03-06T10:09:18.000Z | 2022-03-06T10:09:18.000Z | import pytest
from iocage.lib.ioc_fetch import IOCFetch
require_root = pytest.mark.require_root
require_zpool = pytest.mark.require_zpool
@require_root
@require_zpool
def test_fetch(release, server, user, password, auth, root_dir, http, _file,
hardened):
IOCFetch(release, server, user, password, a... | 27 | 76 | 0.731481 | 0 | 0 | 0 | 0 | 290 | 0.671296 | 0 | 0 | 0 | 0 |
443b816e6fab5e5910eb3a6e77ce61c180e68e96 | 537 | py | Python | scripts/nightly/settings/stage.py | agrc/deq-enviro | 32cb7afd5e57fc6e2363492c95f042a305e6da3d | [
"MIT"
] | 3 | 2015-12-27T07:28:13.000Z | 2021-08-05T16:55:41.000Z | scripts/nightly/settings/stage.py | agrc/deq-enviro | 32cb7afd5e57fc6e2363492c95f042a305e6da3d | [
"MIT"
] | 133 | 2015-01-01T18:57:03.000Z | 2022-03-25T13:59:53.000Z | scripts/nightly/settings/stage.py | agrc/deq-enviro | 32cb7afd5e57fc6e2363492c95f042a305e6da3d | [
"MIT"
] | 1 | 2017-06-26T16:14:59.000Z | 2017-06-26T16:14:59.000Z | from .dev import *
# overrides for stage environment
mapServiceJson = 'http://localhost:6080/arcgis/rest/services/DEQEnviro/MapService/MapServer?f=json'
securedServiceJson = 'http://localhost:6080/arcgis/rest/services/DEQEnviro/Secure/MapServer?f=json'
webdata = r'C:\inetpub\wwwroot\deqenviro\webdata'
sgid = {'ENVIRON... | 53.7 | 99 | 0.744879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 351 | 0.653631 |
443d9413d2bd1afe7dab3a1392c07a5c51c65936 | 4,999 | py | Python | moves/auth.py | iwharris/moves-transponder | df72fd0f6a0dd77997376c2979c5c00edb7c6bab | [
"MIT"
] | null | null | null | moves/auth.py | iwharris/moves-transponder | df72fd0f6a0dd77997376c2979c5c00edb7c6bab | [
"MIT"
] | null | null | null | moves/auth.py | iwharris/moves-transponder | df72fd0f6a0dd77997376c2979c5c00edb7c6bab | [
"MIT"
] | null | null | null | from __future__ import print_function
import requests
import time
import sys
from lxml import html
import urlparse
from util import *
__author__ = 'iwharris'
def request_auth_desktop(base_url, client_id, client_secret, scope, redirect_uri, state=''):
"""Makes an auth request to the Moves API.
scope may be '... | 37.586466 | 161 | 0.656931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,575 | 0.315063 |
443e527fc0cc1d91bb3a8b7413b0fe5d01bf9dbe | 1,011 | py | Python | env.py | claywahlstrom/pack | 86b70198a4b185611c2ce3d29df99dd01233a6ac | [
"BSD-2-Clause"
] | 2 | 2019-05-04T09:32:15.000Z | 2021-02-08T08:38:23.000Z | env.py | claywahlstrom/pack | 86b70198a4b185611c2ce3d29df99dd01233a6ac | [
"BSD-2-Clause"
] | null | null | null | env.py | claywahlstrom/pack | 86b70198a4b185611c2ce3d29df99dd01233a6ac | [
"BSD-2-Clause"
] | null | null | null |
"""
Runtime environment settings
"""
import os as _os
import sys as _sys
def is_idle() -> bool:
"""Returns True if the script is running within IDLE, False otherwise"""
return 'idlelib' in _sys.modules
def is_powershell() -> bool:
"""Returns True if the script is running within PowerShell, False otherw... | 26.605263 | 91 | 0.677547 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 599 | 0.592483 |
443e9ab7bbad66ea70cd4a40efdfc77e47bdb161 | 63 | py | Python | test.py | emmatysinger/test | e1946f46b492370bad07c601c1d12d62043a8461 | [
"MIT"
] | null | null | null | test.py | emmatysinger/test | e1946f46b492370bad07c601c1d12d62043a8461 | [
"MIT"
] | null | null | null | test.py | emmatysinger/test | e1946f46b492370bad07c601c1d12d62043a8461 | [
"MIT"
] | null | null | null | # python file: test.py
print("This is my first python program") | 31.5 | 40 | 0.746032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.873016 |
443ec98bcd2dc6957fa92fd540a750b1e3acc89e | 5,907 | py | Python | Code_for_Signal_Processing_test/open_data_FFR_mac_v2.0.1.py | puyaraimondii/biometric-classification-of-frequency-following-responses | f5b5dca516592be451a3133acb8fa178519bc991 | [
"MIT"
] | 1 | 2021-04-20T14:47:40.000Z | 2021-04-20T14:47:40.000Z | Code_for_Signal_Processing_test/open_data_FFR_mac_v2.0.1.py | puyaraimondii/biometric-classification-of-frequency-following-responses | f5b5dca516592be451a3133acb8fa178519bc991 | [
"MIT"
] | null | null | null | Code_for_Signal_Processing_test/open_data_FFR_mac_v2.0.1.py | puyaraimondii/biometric-classification-of-frequency-following-responses | f5b5dca516592be451a3133acb8fa178519bc991 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 22 21:22:58 2018
@author: bruce
"""
import pandas as pd
import os
import numpy as np
from scipy import fftpack
from scipy import signal
import matplotlib.pyplot as plt
pkl_file=pd.read_pickle('/Users/bruce/Documents/uOttawa/Project/audio_brainst... | 23.164706 | 147 | 0.716946 | 0 | 0 | 394 | 0.066701 | 0 | 0 | 0 | 0 | 4,207 | 0.712206 |
443fa32c189f00023a8d9b89e8fc6e723ffab926 | 4,511 | py | Python | mnist_model.py | shudong-zhang/Train-generator | 65688c36ffcaba688e96bf3932db07ab658ea99d | [
"MIT"
] | null | null | null | mnist_model.py | shudong-zhang/Train-generator | 65688c36ffcaba688e96bf3932db07ab658ea99d | [
"MIT"
] | null | null | null | mnist_model.py | shudong-zhang/Train-generator | 65688c36ffcaba688e96bf3932db07ab658ea99d | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
# 说明：target1和target2 是两个目标模型，后面的mnists1和mnists2 是用于训练vae的模型。
# 我们攻击的时候，就选择target1和target2就行，不要选择后面两个模型。
# target1的模型权重就是那个mnist_gpu，target2的模型权重是mnist_models/checkpoints/mnist_target_2_best.pth.tar
class MNIST_target_1(nn.Module):
def __init__(self... | 33.917293 | 113 | 0.530924 | 4,239 | 0.912594 | 0 | 0 | 0 | 0 | 0 | 0 | 796 | 0.171367 |
444109ce8cf31f72f2c3c1602e9ba493a22264fc | 339 | py | Python | function/news_text.py | zoohee/SqueezeNews | 4f51b307c05259fb567cbe2027fed09a354b4773 | [
"Apache-2.0"
] | null | null | null | function/news_text.py | zoohee/SqueezeNews | 4f51b307c05259fb567cbe2027fed09a354b4773 | [
"Apache-2.0"
] | 7 | 2021-11-01T08:41:33.000Z | 2021-11-06T20:42:41.000Z | function/news_text.py | zoohee/SqueezeNews | 4f51b307c05259fb567cbe2027fed09a354b4773 | [
"Apache-2.0"
] | 3 | 2021-11-01T14:58:55.000Z | 2022-03-21T07:37:05.000Z | import newspaper
from newspaper import Article
# url = 'http://fox13now.com/2013/12/30/new-year-new-laws-obamacare-pot-guns-and-drones/'
def text_extraction(url):
article = Article(url)
article.download()
article.parse()
text = article.text
text = text.replace("\n\n"," ") # '\n' -> ''
... | 21.1875 | 89 | 0.631268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.324484 |
4442d92247cbfe0d0e84fd864ec88c5b85026c4b | 860 | py | Python | Error_Correction_in_Reads.py | Esprit-Nobel/ROSALIND | ec964f6d9cc5d97339106c89df865fb105251928 | [
"MIT"
] | null | null | null | Error_Correction_in_Reads.py | Esprit-Nobel/ROSALIND | ec964f6d9cc5d97339106c89df865fb105251928 | [
"MIT"
] | null | null | null | Error_Correction_in_Reads.py | Esprit-Nobel/ROSALIND | ec964f6d9cc5d97339106c89df865fb105251928 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 19 18:00:30 2016
@author: yannick
"""
import sys
with open(sys.argv[1], "r") as fichier_lu:
CONTENU = fichier_lu.readlines() [1::2]
CONTENU = [ elt.strip("\n\r\t ") for elt in CONTENU ]
for elta in CONTENU:
REVERSE = [ elta.replace("A... | 22.631579 | 73 | 0.540698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 146 | 0.169767 |
4442e1e42c8a05325da84390b0857ac472f29c66 | 561 | py | Python | Swati Singh/week 2_Q.13.py | singhs1234/Python-BootCamp | 6f5ff8f4a4e5b8de32eb6506830f13d6939def1c | [
"MIT"
] | 4 | 2022-03-20T10:59:53.000Z | 2022-03-25T18:28:04.000Z | Swati Singh/week 2_Q.13.py | singhs1234/Python-BootCamp | 6f5ff8f4a4e5b8de32eb6506830f13d6939def1c | [
"MIT"
] | null | null | null | Swati Singh/week 2_Q.13.py | singhs1234/Python-BootCamp | 6f5ff8f4a4e5b8de32eb6506830f13d6939def1c | [
"MIT"
] | 15 | 2022-03-12T11:49:10.000Z | 2022-03-15T06:22:55.000Z | # 13. Accept any city from the user and display monument of that city. City Monument Delhi Red Fort Agra Taj Mahal Jaipur Jal Mahal
city=input("Enter any city (Delhi, Agra, Jaipur, Lucknow, Kanpur) : ")
city=city.lower()
if city=="delhi":
print("Monument: Red Fort")
elif city=="agra":
print("Monument: Taj Mahal... | 35.0625 | 131 | 0.691622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 382 | 0.680927 |
4444135fa7d08d614e7f61e0bef051df28da21d9 | 192 | py | Python | tests/_other_module.py | gregie156/rdisq | bed3028997f7f64d956b2731437febfc5f2d0061 | [
"MIT"
] | 1 | 2015-09-08T06:12:14.000Z | 2015-09-08T06:12:14.000Z | tests/_other_module.py | gregie156/rdisq | bed3028997f7f64d956b2731437febfc5f2d0061 | [
"MIT"
] | null | null | null | tests/_other_module.py | gregie156/rdisq | bed3028997f7f64d956b2731437febfc5f2d0061 | [
"MIT"
] | 2 | 2016-12-16T10:17:39.000Z | 2020-06-13T14:37:57.000Z | """To test how auto-detection of handler-class works with classes from other modules"""
from rdisq.request.message import RdisqMessage
class MessageFromExternalModule(RdisqMessage):
pass | 32 | 87 | 0.807292 | 55 | 0.286458 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.453125 |
4444f0e3181e23072fbbbadc9683f81ee6d5b50a | 609 | py | Python | libcard2/localization/wave_ja.py | stmkza/arposandra | e76f9886f98b3e5068b5f135be398c9e77bd3b65 | [
"MIT"
] | 12 | 2020-02-01T03:41:17.000Z | 2022-03-02T06:02:36.000Z | libcard2/localization/wave_ja.py | stmkza/arposandra | e76f9886f98b3e5068b5f135be398c9e77bd3b65 | [
"MIT"
] | 6 | 2020-03-15T02:28:52.000Z | 2021-08-31T11:16:00.000Z | libcard2/localization/wave_ja.py | stmkza/arposandra | e76f9886f98b3e5068b5f135be398c9e77bd3b65 | [
"MIT"
] | 3 | 2020-03-19T12:42:00.000Z | 2021-12-28T05:06:02.000Z | from ..wave_cs_enums import WaveType
from ..wave_description_base import WaveMissionDescriber
######################################################
JA = WaveMissionDescriber()
# fmt: off
JA.missions[WaveType.MaxVoltage] = "1回で$1ボルテージを獲得する"
JA.missions[WaveType.UseCardUniq] = "$1人のスクールアイドルでアピールする"
JA.missions[WaveT... | 32.052632 | 66 | 0.729064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 371 | 0.47871 |
44454b3951561028466a5296e4c73346be5078a6 | 313 | py | Python | jsonbender/__init__.py | csestelo/jsonbender | 008c570c6bfc217c8b6e488df803340b070f78e5 | [
"MIT"
] | null | null | null | jsonbender/__init__.py | csestelo/jsonbender | 008c570c6bfc217c8b6e488df803340b070f78e5 | [
"MIT"
] | null | null | null | jsonbender/__init__.py | csestelo/jsonbender | 008c570c6bfc217c8b6e488df803340b070f78e5 | [
"MIT"
] | null | null | null | from jsonbender.core import Bender, Context, bend, BendingException
from jsonbender.list_ops import FlatForall, Forall, Filter, Reduce
from jsonbender.string_ops import Format
from jsonbender.selectors import F, K, S, OptionalS
from jsonbender.control_flow import Alternation, If, Switch
__version__ = '0.9.2'
| 31.3 | 67 | 0.814696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0.022364 |
4446b6d9a76d9e3d9522a1991982c08308682321 | 7,889 | py | Python | myflaskapp/public/views.py | IT-corridor/Parking | 528a7e084cd4a54a80aad33488f9a83f4f07fb59 | [
"BSD-3-Clause"
] | null | null | null | myflaskapp/public/views.py | IT-corridor/Parking | 528a7e084cd4a54a80aad33488f9a83f4f07fb59 | [
"BSD-3-Clause"
] | null | null | null | myflaskapp/public/views.py | IT-corridor/Parking | 528a7e084cd4a54a80aad33488f9a83f4f07fb59 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Public section, including homepage and signup."""
import datetime
from flask import Blueprint, flash, redirect, render_template, request, url_for, jsonify, session, g, abort
from flask_login import login_required, login_user, logout_user, current_user
from flask_cors import CORS, cross_origin... | 34.600877 | 111 | 0.672962 | 0 | 0 | 0 | 0 | 6,543 | 0.829383 | 0 | 0 | 2,210 | 0.280137 |
4446c274e989ed70ad29771b455c77fbf8f5c5b0 | 391 | py | Python | mobiles/migrations/0002_alter_product_details_star.py | saikatsingha/flipkart_crawl | dc0c4e82206bb974560d87e5d94ea778d9411a9c | [
"MIT"
] | null | null | null | mobiles/migrations/0002_alter_product_details_star.py | saikatsingha/flipkart_crawl | dc0c4e82206bb974560d87e5d94ea778d9411a9c | [
"MIT"
] | null | null | null | mobiles/migrations/0002_alter_product_details_star.py | saikatsingha/flipkart_crawl | dc0c4e82206bb974560d87e5d94ea778d9411a9c | [
"MIT"
] | null | null | null | # Generated by Django 3.2.6 on 2021-09-08 18:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mobiles', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='product_details',
name='star',
... | 20.578947 | 59 | 0.595908 | 298 | 0.762148 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.237852 |
4447cebaca237fce398177fea1226e3ccac3370d | 4,724 | py | Python | handroute-power-stripes/check_sram.py | pohantw/caravel_user_project | 2589b79bf97fd43186bf854ca3aaa60665f573ba | [
"Apache-2.0"
] | 1 | 2021-11-24T12:42:26.000Z | 2021-11-24T12:42:26.000Z | handroute-power-stripes/check_sram.py | pohantw/caravel_user_project | 2589b79bf97fd43186bf854ca3aaa60665f573ba | [
"Apache-2.0"
] | null | null | null | handroute-power-stripes/check_sram.py | pohantw/caravel_user_project | 2589b79bf97fd43186bf854ca3aaa60665f573ba | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
#
# Script to read a GDS file, and replace a single cell structure with a cell of
# the same name from a different GDS file. If a checksum is provided, then
# the cell contents will be checked against the checksum before allowing the
# replacement. The checksum is just the sum of the lengt... | 41.438596 | 120 | 0.563506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,679 | 0.355419 |
4449bfa6d89ff2ac50729d1ef0563c812702054a | 527 | py | Python | python/draw_map.py | dickensn/irlome-dev | 40228014e7d82c3f629f5d86d489cf6b888cd089 | [
"MIT"
] | null | null | null | python/draw_map.py | dickensn/irlome-dev | 40228014e7d82c3f629f5d86d489cf6b888cd089 | [
"MIT"
] | 3 | 2018-11-03T16:17:17.000Z | 2018-11-04T04:55:31.000Z | python/draw_map.py | dickensn/irlome-dev | 40228014e7d82c3f629f5d86d489cf6b888cd089 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
''' IRLOME maps
'''
__author__ = "Nick Dickens"
__copyright__ = "Copyright 2018, Nicholas J. Dickens"
__email__ = "dickensn@fau.edu"
__license__ = "MIT"
import matplotlib.pyplot as plt
import mplleaflet
points = []
with open("../web/data/user_data.csv") as in_fh:
for line in in_fh:
line ... | 20.269231 | 53 | 0.673624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 0.313093 |
444b2e2c7f0f65d0b5f7ba6fdf7f0ecfc97f4d1c | 118 | py | Python | backend/users/admin.py | rabbilyasar/photo-app | a479eb1d9aed5f2b0c6a8bff182fc754e094ef85 | [
"MIT"
] | null | null | null | backend/users/admin.py | rabbilyasar/photo-app | a479eb1d9aed5f2b0c6a8bff182fc754e094ef85 | [
"MIT"
] | null | null | null | backend/users/admin.py | rabbilyasar/photo-app | a479eb1d9aed5f2b0c6a8bff182fc754e094ef85 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth import get_user_model
admin.site.register(get_user_model()) | 29.5 | 46 | 0.847458 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
444ba1502ff8f9ffdc326e213b915090ee1da1e9 | 188 | py | Python | factorial.py | ncooper76/Python-Scripts | e0197a8d613b761c123677699be974a7aec08c97 | [
"MIT"
] | null | null | null | factorial.py | ncooper76/Python-Scripts | e0197a8d613b761c123677699be974a7aec08c97 | [
"MIT"
] | null | null | null | factorial.py | ncooper76/Python-Scripts | e0197a8d613b761c123677699be974a7aec08c97 | [
"MIT"
] | null | null | null | #Calculates the factorial of x, so 5! = 1*2*3*4*5 = 120
def factorial(x):
product = 1
n = 1
while n <= x:
product = product*n
n += 1
return product
| 20.888889 | 56 | 0.510638 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.297872 |
444cbbd79867b31c9d614358ce159cbee2d40095 | 269 | py | Python | ex15.py | phyuthinzarmg/python-exercises | cfa907dd45623c1c58b96f3588af04e1e7b452ff | [
"MIT"
] | null | null | null | ex15.py | phyuthinzarmg/python-exercises | cfa907dd45623c1c58b96f3588af04e1e7b452ff | [
"MIT"
] | null | null | null | ex15.py | phyuthinzarmg/python-exercises | cfa907dd45623c1c58b96f3588af04e1e7b452ff | [
"MIT"
] | null | null | null | from sys import argv
2
3 script, filename = argv
4
5 txt = open(filename)
6
7 print(f"Here's your file {filename}:")
8 print(txt.read())
9
10 print("Type the filename again:")
11 file_again = input("> ")
12
13 txt_again = open(file_again)
14
15 print(txt_again.read())
| 16.8125 | 40 | 0.70632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.226766 |
444e14447cb4f0e4bc8141a034007957513313e9 | 6,787 | py | Python | pickle_mom_seeding.py | garudlab/mother_infant | 98a27c83bf5ece9497d5a030c6c9396a8c514781 | [
"BSD-2-Clause"
] | null | null | null | pickle_mom_seeding.py | garudlab/mother_infant | 98a27c83bf5ece9497d5a030c6c9396a8c514781 | [
"BSD-2-Clause"
] | null | null | null | pickle_mom_seeding.py | garudlab/mother_infant | 98a27c83bf5ece9497d5a030c6c9396a8c514781 | [
"BSD-2-Clause"
] | null | null | null | # Question: are sweeping alleles in infants present in mom?
# Idea: store data on allele frequency in mom for each sweeping allele in infant
from utils import sample_utils as su, parse_midas_data, substitution_rates_utils, config, temporal_changes_utils, snps_utils, core_gene_utils, gene_diversity_utils
import numpy a... | 34.984536 | 163 | 0.731104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,091 | 0.455429 |
444ffd5c03aa03460e6f6f58b1c0373b3a4eb52f | 2,132 | py | Python | easy_mindoc/easy_mindoc.py | zsb514/easy_mindoc | 326d926af8025ebcd69097028c2684c47d99f900 | [
"WTFPL"
] | null | null | null | easy_mindoc/easy_mindoc.py | zsb514/easy_mindoc | 326d926af8025ebcd69097028c2684c47d99f900 | [
"WTFPL"
] | null | null | null | easy_mindoc/easy_mindoc.py | zsb514/easy_mindoc | 326d926af8025ebcd69097028c2684c47d99f900 | [
"WTFPL"
] | null | null | null | from mindoc import MinDoc
from markdown import Markdown
from easy_mindoc import load_cfg, write_config
import sys, getopt, os
import typer
app = typer.Typer()
'当前工作路径'
os.getcwd()
@app.command()
def config(user: str, cookies: str):
typer.echo("正在设置用户和cookies")
user = load_cfg().get('user', {})
user['us... | 22.924731 | 84 | 0.566604 | 0 | 0 | 0 | 0 | 898 | 0.396994 | 0 | 0 | 1,420 | 0.627763 |
44501000b3734b479464d60d1f33e27a81e07057 | 821 | py | Python | recipes/Python/531821_Error_logging_context_manager/recipe-531821.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/531821_Error_logging_context_manager/recipe-531821.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/531821_Error_logging_context_manager/recipe-531821.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | from __future__ import with_statement
from contextlib import contextmanager
from functools import wraps
import logging
@contextmanager
def error_trapping(ident=None):
''' A context manager that traps and logs exception in its block.
Usage:
with error_trapping('optional description'):
m... | 26.483871 | 69 | 0.624848 | 0 | 0 | 444 | 0.540804 | 578 | 0.704019 | 0 | 0 | 278 | 0.338611 |
445010b448f3c8808d15429f677ead36a271dff0 | 2,850 | py | Python | shardDesigner/shardTemplateDir/shardNodeDir/starterFlask.py | vinci-project/rootShard | 2f6633c7fb1c1b690c0a38ffbb16af0b50d532bb | [
"MIT"
] | null | null | null | shardDesigner/shardTemplateDir/shardNodeDir/starterFlask.py | vinci-project/rootShard | 2f6633c7fb1c1b690c0a38ffbb16af0b50d532bb | [
"MIT"
] | 7 | 2020-03-02T11:23:41.000Z | 2022-03-11T23:52:51.000Z | shardDesigner/shardTemplateDir/shardNodeDir/starterFlask.py | vinci-project/rootShard | 2f6633c7fb1c1b690c0a38ffbb16af0b50d532bb | [
"MIT"
] | null | null | null | import sys, os
import json
import redis
import shutil
from crypto.vncCrypto import VncCrypto
from crypto.cryptoFernet import cryptoFernet
from datetime import datetime, date, time
from random import randint
import psutil
import uuid
from werkzeug.utils import secure_filename
import webbrowser
#=====================... | 29.6875 | 134 | 0.570526 | 2,297 | 0.805965 | 0 | 0 | 2,033 | 0.713333 | 0 | 0 | 528 | 0.185263 |
445059d8b1c766c83467bf2bfc61d8690f94ea35 | 86 | py | Python | tyadmin_api_cli/adapters/__init__.py | a24zlab/django-antd-tyadmin | 49797ecbb477b00fc934b774fbc33a4dc23f9d80 | [
"MIT"
] | 308 | 2021-02-04T08:18:13.000Z | 2022-03-30T10:38:30.000Z | tyadmin_api_cli/adapters/__init__.py | a24zlab/django-antd-tyadmin | 49797ecbb477b00fc934b774fbc33a4dc23f9d80 | [
"MIT"
] | 23 | 2021-02-02T08:29:02.000Z | 2022-03-08T13:14:55.000Z | tyadmin_api_cli/adapters/__init__.py | a24zlab/django-antd-tyadmin | 49797ecbb477b00fc934b774fbc33a4dc23f9d80 | [
"MIT"
] | 90 | 2021-02-03T08:03:17.000Z | 2022-03-31T19:03:02.000Z | ADAPTER_DICT = {
'django_celery_beat': {
'PeriodicTask': ['task']
}
}
| 14.333333 | 32 | 0.534884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.465116 |
44505ee5565c15ff2332d974385cc5824f0522fa | 1,004 | py | Python | escolaridade/tests.py | Bleno/sisgestor-django | c35f76eafc3e51afb99c84245e01881cef43aa5b | [
"MIT"
] | 1 | 2017-04-27T19:26:49.000Z | 2017-04-27T19:26:49.000Z | escolaridade/tests.py | Bleno/sisgestor-django | c35f76eafc3e51afb99c84245e01881cef43aa5b | [
"MIT"
] | null | null | null | escolaridade/tests.py | Bleno/sisgestor-django | c35f76eafc3e51afb99c84245e01881cef43aa5b | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.test import Client
from .models import Escolaridade
class EscolaridadeTestCase(TestCase):
def setUp(self):
Escolaridade.objects.create(escolaridade="Médio")
Escolaridade.objects.create(escolaridade="Fundamental")
def test_escolaridade_exists(s... | 32.387097 | 73 | 0.692231 | 907 | 0.900695 | 0 | 0 | 0 | 0 | 0 | 0 | 183 | 0.181728 |
4450c03b84b4b673f18bc1860ea01b76a4f2ec4d | 4,799 | py | Python | python_ws/src/sim/src/aruco_front.py | boris-gu/drone-api | fd90f226bf83c79eb7c31b69b9141474017160a3 | [
"BSD-3-Clause"
] | null | null | null | python_ws/src/sim/src/aruco_front.py | boris-gu/drone-api | fd90f226bf83c79eb7c31b69b9141474017160a3 | [
"BSD-3-Clause"
] | null | null | null | python_ws/src/sim/src/aruco_front.py | boris-gu/drone-api | fd90f226bf83c79eb7c31b69b9141474017160a3 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# =====================
# Зависнуть у маркера
# =====================
import numpy as np
import rospy
import cv2
import cv2.aruco as aruco
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from aruco_calibration import Calibration as clb
from drone_api import *
from math import ... | 40.669492 | 95 | 0.549489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,058 | 0.207492 |
44521e90db92fc5a401f00f8e02d47faa82b474b | 288 | py | Python | Testing.py | thetensor-space/SageTensorSpace | 5fb48dbfa03fa89c9f714643e1e5d9ba60e98176 | [
"MIT"
] | null | null | null | Testing.py | thetensor-space/SageTensorSpace | 5fb48dbfa03fa89c9f714643e1e5d9ba60e98176 | [
"MIT"
] | null | null | null | Testing.py | thetensor-space/SageTensorSpace | 5fb48dbfa03fa89c9f714643e1e5d9ba60e98176 | [
"MIT"
] | null | null | null | import SageTensorSpace as TS
MS = MatrixSpace(GF(7), 5, 6)
M = MS.random_element()
t = TS.TensorFromMatrices([M], 2, 1)
# Testing a property
U = VectorSpace(GF(7), 5)
V = VectorSpace(GF(7), 6)
assert all(M[i][j] == t((U.basis()[i], V.basis()[j]))[0] for i in range(5) for j in range(6))
| 28.8 | 93 | 0.638889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.069444 |
4452b02d3ec66c4927bb44a51aa1b641b11fd632 | 3,933 | py | Python | Pipelines/Torch/Data/mnist.py | AkibMashrur/Research | a981e3410917216e03e09431c837607543905d83 | [
"Apache-2.0"
] | null | null | null | Pipelines/Torch/Data/mnist.py | AkibMashrur/Research | a981e3410917216e03e09431c837607543905d83 | [
"Apache-2.0"
] | null | null | null | Pipelines/Torch/Data/mnist.py | AkibMashrur/Research | a981e3410917216e03e09431c837607543905d83 | [
"Apache-2.0"
] | null | null | null | # Reference: https://stackoverflow.com/questions/40427435/extract-images-from-idx3-ubyte-file-or-gzip-via-python
# Based on answer by UdaraWanasinghe
import os
import gzip
import numpy as np
import torch
import torch.nn.functional as F
home_dir = os.path.expanduser('~')
parent_dir = "Datasets/Images/MNIST/"
def trai... | 37.817308 | 112 | 0.637935 | 872 | 0.221714 | 0 | 0 | 0 | 0 | 0 | 0 | 1,298 | 0.330028 |
4452eed1643b0ab8c55a85a0007be4f6da57ef15 | 7,968 | py | Python | resources/rest-service/cloudify/migrations/versions/b92770a7b6ca_5_3_to_6_0.py | ilan-WS/cloudify-manager | 510d8a277c848db351f38fc5b264806b2cb36d0b | [
"Apache-2.0"
] | 124 | 2015-01-22T22:28:37.000Z | 2022-02-26T23:12:06.000Z | resources/rest-service/cloudify/migrations/versions/b92770a7b6ca_5_3_to_6_0.py | cloudify-cosmo/cloudify-manager | 4a3f44ceb49d449bc5ebc8766b1c7b9c174ff972 | [
"Apache-2.0"
] | 345 | 2015-01-08T15:49:40.000Z | 2022-03-29T08:33:00.000Z | resources/rest-service/cloudify/migrations/versions/b92770a7b6ca_5_3_to_6_0.py | ilan-WS/cloudify-manager | 510d8a277c848db351f38fc5b264806b2cb36d0b | [
"Apache-2.0"
] | 77 | 2015-01-07T14:04:35.000Z | 2022-03-07T22:46:00.000Z | """5_3 to 6_0
Revision ID: b92770a7b6ca
Revises: 396303c07e35
Create Date: 2021-04-12 09:33:44.399254
"""
from alembic import op
import sqlalchemy as sa
from manager_rest.storage import models
# revision identifiers, used by Alembic.
revision = 'b92770a7b6ca'
down_revision = '396303c07e35'
branch_labels = None
depe... | 25.538462 | 74 | 0.633032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,624 | 0.329317 |
4453f380fc213caa0d80109b5bcb911e30dcaa44 | 233 | py | Python | django_iris/validation.py | nickmitchko/django-iris | 2eb59553e554ad022b96bd37921f7f35bbb64e38 | [
"MIT"
] | 2 | 2022-02-23T12:46:23.000Z | 2022-02-27T22:14:36.000Z | django_iris/validation.py | nickmitchko/django-iris | 2eb59553e554ad022b96bd37921f7f35bbb64e38 | [
"MIT"
] | 3 | 2022-03-19T02:04:51.000Z | 2022-03-19T19:15:55.000Z | django_iris/validation.py | nickmitchko/django-iris | 2eb59553e554ad022b96bd37921f7f35bbb64e38 | [
"MIT"
] | 3 | 2022-02-15T14:08:45.000Z | 2022-03-19T17:05:37.000Z | from django.db.backends.base.validation import BaseDatabaseValidation
class DatabaseValidation(BaseDatabaseValidation):
def check(self, **kwargs):
return []
def check_field(self, field, **kwargs):
return []
| 25.888889 | 69 | 0.712446 | 161 | 0.690987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
445428db18a5d529d31ee62c9b30f8bb8c4c0aea | 1,763 | py | Python | Asap-3.8.4/Debug/UnBalance.py | auag92/n2dm | 03403ef8da303b79478580ae76466e374ec9da60 | [
"MIT"
] | 1 | 2021-10-19T11:35:34.000Z | 2021-10-19T11:35:34.000Z | Asap-3.8.4/Debug/UnBalance.py | auag92/n2dm | 03403ef8da303b79478580ae76466e374ec9da60 | [
"MIT"
] | null | null | null | Asap-3.8.4/Debug/UnBalance.py | auag92/n2dm | 03403ef8da303b79478580ae76466e374ec9da60 | [
"MIT"
] | 3 | 2016-07-18T19:22:48.000Z | 2021-07-06T03:06:42.000Z | #PBS -N UnBalance
#PBS -m ae
#PBS -q long
#PBS -l nodes=1:opteron:ppn=2
"""Test handling of extreme load-unbalancing."""
from asap3 import *
from asap3.md import MDLogger
from ase.lattice.cubic import FaceCenteredCubic
import numpy as np
from asap3.mpi import world
#DebugOutput("UnBalance.%d.out")
#set_verbose(1)
pr... | 24.486111 | 81 | 0.618264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 361 | 0.204765 |
44546d7a23a84bcd8913fc44866867d90b0aa3bc | 2,721 | py | Python | Notatki/1_Podstawy/3_Funkcje/2_Argumenty.py | bzglinicki/Programowanie-I-R | 02a63a44bb9eeea2aa7dbbb0ec18c0462d692ef0 | [
"MIT"
] | 2 | 2022-03-01T14:45:01.000Z | 2022-03-19T17:36:07.000Z | Notatki/1_Podstawy/3_Funkcje/2_Argumenty.py | bzglinicki/Programowanie-I-R | 02a63a44bb9eeea2aa7dbbb0ec18c0462d692ef0 | [
"MIT"
] | null | null | null | Notatki/1_Podstawy/3_Funkcje/2_Argumenty.py | bzglinicki/Programowanie-I-R | 02a63a44bb9eeea2aa7dbbb0ec18c0462d692ef0 | [
"MIT"
] | 1 | 2021-03-20T21:01:37.000Z | 2021-03-20T21:01:37.000Z | # Programowanie I R
# Funkcje: argumenty
# Funkcja z trzema argumentami: name, surname, age
def printPersonalData(name, surname, age):
print(f"Imię i nazwisko: {name} {surname}")
print(f"Wiek: {age}")
# Argumenty pozycyjne **************************************************************
print("Argu... | 27.765306 | 84 | 0.593164 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,937 | 0.703341 |
445599346e06ef1c078e67979b49a7714f6c5b59 | 541 | py | Python | setup.py | sihrc/vortex | 4b913946c8c1743a5cd7a07b80bc7ab516ce12f2 | [
"MIT"
] | null | null | null | setup.py | sihrc/vortex | 4b913946c8c1743a5cd7a07b80bc7ab516ce12f2 | [
"MIT"
] | 6 | 2018-08-04T21:29:11.000Z | 2021-05-16T05:30:34.000Z | setup.py | sihrc/vortex | 4b913946c8c1743a5cd7a07b80bc7ab516ce12f2 | [
"MIT"
] | 1 | 2019-08-22T11:48:30.000Z | 2019-08-22T11:48:30.000Z | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name="vortex-http",
version="0.4.1",
description="aiohttp wrapped web framework",
author="Chris Lee",
author_email="sihrc.c.lee@gmail.com",
packages=find_packages(),
install_requires=[
"aiodns==2.0.0",
... | 23.521739 | 48 | 0.563771 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 243 | 0.449168 |
44567aa723c7083a702d9f866e897914bb948003 | 47,745 | py | Python | script/FilesFunctions/FilesFunctions.py | totordudu/UTBM_TZ20 | 27e4d3f247a3eba26c1c7c7a21e184917056ac52 | [
"MIT"
] | null | null | null | script/FilesFunctions/FilesFunctions.py | totordudu/UTBM_TZ20 | 27e4d3f247a3eba26c1c7c7a21e184917056ac52 | [
"MIT"
] | null | null | null | script/FilesFunctions/FilesFunctions.py | totordudu/UTBM_TZ20 | 27e4d3f247a3eba26c1c7c7a21e184917056ac52 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
from datetime import datetime, timedelta
import errno
import time
import USBKey
class Files():
import sys
import csv
from datetime import datetime, date, time, timedelta
import os
from os import path
import shutil
# import urllib # for python 3 : import u... | 48.969231 | 230 | 0.489517 | 46,946 | 0.983265 | 0 | 0 | 0 | 0 | 0 | 0 | 11,416 | 0.239104 |
44585e2e58dd7c6c6dcab8b55ab1edd7e5fa7f24 | 5,835 | py | Python | soil/settings.py | major-hub/soil_app | ddd250161ad496afd4c8484f79500ff2657b51df | [
"MIT"
] | null | null | null | soil/settings.py | major-hub/soil_app | ddd250161ad496afd4c8484f79500ff2657b51df | [
"MIT"
] | null | null | null | soil/settings.py | major-hub/soil_app | ddd250161ad496afd4c8484f79500ff2657b51df | [
"MIT"
] | null | null | null | import os
import sys
from pathlib import Path
from datetime import timedelta
from django.conf import global_settings
from django.utils.translation import gettext_lazy as _
import django.conf.locale
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
sys... | 27.91866 | 107 | 0.671637 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,804 | 0.651928 |
4458de209412ad014e27667db524e01364c91585 | 1,531 | py | Python | serial_scripts/sriov/test_sriov.py | vkolli/5.0_contrail-test | 1793f169a94100400a1b2fafbad21daf5aa4d48a | [
"Apache-2.0"
] | 1 | 2017-06-13T04:42:34.000Z | 2017-06-13T04:42:34.000Z | serial_scripts/sriov/test_sriov.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | 1 | 2021-06-01T22:18:29.000Z | 2021-06-01T22:18:29.000Z | serial_scripts/sriov/test_sriov.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | null | null | null | # Need to import path to test/fixtures and test/scripts/
# Ex : export PYTHONPATH='$PATH:/root/test/fixtures/:/root/test/scripts/'
#
# To run tests, you can do 'python -m testtools.run tests'. To run specific tests,
# You can do 'python -m testtools.run -l tests'
# Set the env variable PARAMS_FILE to point to your ini ... | 31.895833 | 104 | 0.704768 | 1,048 | 0.68452 | 0 | 0 | 911 | 0.595036 | 0 | 0 | 747 | 0.487916 |
445a5c1f65437e8b862503db26771c6d527b8a82 | 11,681 | py | Python | fandango/excepts.py | rhomspuron/fandango | 51cc7659dfa7ea8c5890a993bbcc4c2049e45136 | [
"CC-BY-3.0"
] | null | null | null | fandango/excepts.py | rhomspuron/fandango | 51cc7659dfa7ea8c5890a993bbcc4c2049e45136 | [
"CC-BY-3.0"
] | null | null | null | fandango/excepts.py | rhomspuron/fandango | 51cc7659dfa7ea8c5890a993bbcc4c2049e45136 | [
"CC-BY-3.0"
] | null | null | null | from __future__ import with_statement
#!/usr/bin/env python2.5
"""
#############################################################################
##
## file : excepts.py
##
## description : see below
##
## project : Tango Control System
##
## $Author: Sergi Rubio Manrique, srubio@cells.es $
##
## $Revision: 20... | 35.941538 | 158 | 0.605256 | 1,964 | 0.168136 | 0 | 0 | 124 | 0.010616 | 0 | 0 | 5,388 | 0.461262 |
445ab1c1e4d78b8048df97b2a01122c5b251eb06 | 4,345 | py | Python | Practica4/QuickSort/grafica.py | JosueHernandezR/An-lisis-de-Algoritmos | 9953f2d3fee6b4cfe842fdbbea83b46b62fa123f | [
"MIT"
] | 1 | 2021-09-30T20:05:41.000Z | 2021-09-30T20:05:41.000Z | Practica4/QuickSort/grafica.py | JosueHernandezR/An-lisis-de-Algoritmos | 9953f2d3fee6b4cfe842fdbbea83b46b62fa123f | [
"MIT"
] | null | null | null | Practica4/QuickSort/grafica.py | JosueHernandezR/An-lisis-de-Algoritmos | 9953f2d3fee6b4cfe842fdbbea83b46b62fa123f | [
"MIT"
] | null | null | null | #Análisis de Algoritmos 3CV2
# Alan Romero Lucero
# Josué David Hernández Ramírez
# Práctica 4 Divide y vencerás
import matplotlib.pyplot as plt
import numpy as np
import gb
"""
Variables globales:
proposed2: Función propuesta para el algoritmo Quicktime. Dependiendo
si ... | 38.451327 | 126 | 0.571231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,461 | 0.55805 |
445af064114f9ecae141a654e3f107b836136ba6 | 1,207 | py | Python | vista.py | CristianCala/UIDesignPyQt5 | 6ba68813f86e46a47c4519f83ccbd46b6dd635ff | [
"MIT"
] | null | null | null | vista.py | CristianCala/UIDesignPyQt5 | 6ba68813f86e46a47c4519f83ccbd46b6dd635ff | [
"MIT"
] | null | null | null | vista.py | CristianCala/UIDesignPyQt5 | 6ba68813f86e46a47c4519f83ccbd46b6dd635ff | [
"MIT"
] | null | null | null | estiloFondo = ("QMainWindow{\n"
"background-color: white;}")
estiloFrame = ("QFrame{\n"
"background-image: url(ui.png);}\n")
estiloNombre = ("QLabel{\n"
"color: #E84C70;}\n")
estiloTitulo = ("QLabel{\n"
"color: #2F475E;}\n")
estiloLine = ("QLineEdit {\n"
"color: black;\n"
"background: transpa... | 21.945455 | 47 | 0.610605 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 896 | 0.742336 |
445b95e70338446bf09b6f119beadcc108bb73c6 | 4,260 | py | Python | simArch/run_nets.py | mfkiwl/uSystolic-Sim | ed03101108d299557ff215239caa1b51783882f6 | [
"MIT"
] | 18 | 2021-04-08T10:35:31.000Z | 2022-03-03T14:29:06.000Z | simArch/run_nets.py | mfkiwl/uSystolic-Sim | ed03101108d299557ff215239caa1b51783882f6 | [
"MIT"
] | 1 | 2021-06-29T10:55:35.000Z | 2021-10-08T21:04:54.000Z | simArch/run_nets.py | mfkiwl/uSystolic-Sim | ed03101108d299557ff215239caa1b51783882f6 | [
"MIT"
] | 4 | 2021-04-08T10:35:32.000Z | 2021-12-11T13:45:24.000Z | import simArch.gemm_trace_wrapper as gemm_trace
def run_net(
ifmap_sram_size=1, # in K-Word
filter_sram_size=1, # in K-Word
ofmap_sram_size=1, # in K-Word
array_h=32,
array_w=32,
data_flow='ws',
word_size_bytes=1,
wgt_bw_opt=False,
topology_file=None,
net_name=None,
offset_l... | 38.378378 | 110 | 0.480047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 705 | 0.165493 |
445d5c9f90f1e235cdc97e3d99dbadddc792e214 | 550 | py | Python | homepage/views.py | c17r/tsace | 59c6e0388429943dc3de879745119f9c94cd9ccc | [
"MIT"
] | null | null | null | homepage/views.py | c17r/tsace | 59c6e0388429943dc3de879745119f9c94cd9ccc | [
"MIT"
] | null | null | null | homepage/views.py | c17r/tsace | 59c6e0388429943dc3de879745119f9c94cd9ccc | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta
from django.shortcuts import render
from django.template import RequestContext
import api
def index(request):
uid = request.COOKIES.get("uid")
data = None
if not uid:
uid, _ = api.create_new_user()
else:
data = api.get_saved_cities(uid)
res... | 22 | 53 | 0.658182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.081818 |