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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
80c8767c767968d7e7fa23b2ecf6dcc08bf852f7 | 3,884 | py | Python | semana4/app.py | ArseniumGX/bluemer-modulo2 | 24e5071b734de362dc47ef9d402c191699d15b43 | [
"MIT"
] | null | null | null | semana4/app.py | ArseniumGX/bluemer-modulo2 | 24e5071b734de362dc47ef9d402c191699d15b43 | [
"MIT"
] | null | null | null | semana4/app.py | ArseniumGX/bluemer-modulo2 | 24e5071b734de362dc47ef9d402c191699d15b43 | [
"MIT"
] | null | null | null | from werkzeug.security import generate_password_hash, check_password_hash
from flask import Flask, render_template, jsonify, request, redirect, flash, url_for
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager, UserMixin, current_user, login_required, logout_user, login_user
app = Flask(__nam... | 32.638655 | 102 | 0.598095 |
80c9491190bb5e53af696dbe13cce5e8d3abe6ff | 9,788 | py | Python | setup.py | osilkin98/HappyMail | 6bc34cd2b35d58757973a267bf01077332770b6d | [
"MIT"
] | 1 | 2018-09-20T01:06:11.000Z | 2018-09-20T01:06:11.000Z | setup.py | osilkin98/HappyMail | 6bc34cd2b35d58757973a267bf01077332770b6d | [
"MIT"
] | null | null | null | setup.py | osilkin98/HappyMail | 6bc34cd2b35d58757973a267bf01077332770b6d | [
"MIT"
] | null | null | null | from subprocess import call
from sys import executable
from distutils.core import setup
from distutils.command.build_py import build_py
import os
from os.path import exists
from getpass import getuser
from time import sleep
try:
import colorama
except ImportError as IE:
print("Module Colorama not found, inst... | 40.783333 | 122 | 0.591745 |
80cb754fd4097ddc5ceb99da12f2ad2947dbe655 | 345 | py | Python | project_3/code/characters.py | Psemp/oc_project_11 | 26ee2e607b2ccc768e19d264b5e1da010820fbc5 | [
"MIT"
] | null | null | null | project_3/code/characters.py | Psemp/oc_project_11 | 26ee2e607b2ccc768e19d264b5e1da010820fbc5 | [
"MIT"
] | null | null | null | project_3/code/characters.py | Psemp/oc_project_11 | 26ee2e607b2ccc768e19d264b5e1da010820fbc5 | [
"MIT"
] | null | null | null | from get_char_pos import get_char_position
mac = Character()
mac.tag = "mac"
guard = Character()
guard.tag = "guard"
macpos = get_char_position(mac)
guardpos = get_char_position(guard)
| 15 | 42 | 0.626087 |
80ccd7e653bf3655ee84b0246e1de697194e67d6 | 2,376 | py | Python | share/regulate/steps/deduplicate.py | CenterForOpenScience/SHARE | c7715af2881f6fa23197d4e7c381d90169a90ed1 | [
"Apache-2.0"
] | 87 | 2015-01-06T18:24:45.000Z | 2021-08-08T07:59:40.000Z | share/regulate/steps/deduplicate.py | fortress-biotech/SHARE | 9c5a05dd831447949fa6253afec5225ff8ab5d4f | [
"Apache-2.0"
] | 442 | 2015-01-01T19:16:01.000Z | 2022-03-30T21:10:26.000Z | share/regulate/steps/deduplicate.py | fortress-biotech/SHARE | 9c5a05dd831447949fa6253afec5225ff8ab5d4f | [
"Apache-2.0"
] | 67 | 2015-03-10T16:32:58.000Z | 2021-11-12T16:33:41.000Z | from share.regulate.steps import GraphStep
| 33.464789 | 76 | 0.569865 |
80cf4b1cdeb9f8af6f921aa50c5b9f893fb21de0 | 537 | py | Python | mit-ml/reinforcedl.py | stepinski/machinelearning | 1f84883a25616da4cd76bb4655267efd3421e561 | [
"MIT"
] | null | null | null | mit-ml/reinforcedl.py | stepinski/machinelearning | 1f84883a25616da4cd76bb4655267efd3421e561 | [
"MIT"
] | null | null | null | mit-ml/reinforcedl.py | stepinski/machinelearning | 1f84883a25616da4cd76bb4655267efd3421e561 | [
"MIT"
] | null | null | null | import numpy as np
gama = 0.5
alfa = 0.75
data = np.array([[1, 1, 1], [1, 2, -1], [2, 1, 1]]) #(s, s', R)
Q = np.zeros((data.shape[0]+1, 2)) #(iterations, |S|)
k = 1
for d in range(data.shape[0]):
R = data[d, 2] #inmediate reward
idx_s = data[d, 0] - 1 # index of state s in Q
idx_sp = data[d, 1] - 1 #ind... | 35.8 | 93 | 0.50838 |
80d34d2c062fdfb55cef6a9e4a57d6d6a013448e | 695 | py | Python | database.py | ISProject1/POS | 1d4143d48382f6fc42bdb459a40321ff35efa4b5 | [
"MIT"
] | null | null | null | database.py | ISProject1/POS | 1d4143d48382f6fc42bdb459a40321ff35efa4b5 | [
"MIT"
] | null | null | null | database.py | ISProject1/POS | 1d4143d48382f6fc42bdb459a40321ff35efa4b5 | [
"MIT"
] | null | null | null |
file1= "db_breakfast_menu.txt"
file2= "db_lunch_menu.txt"
file3= "db_dinner_menu.txt"
file4 = "db_label_text.txt"
retail = []
title = []
label = []
with open(file1, "r") as f:
data = f.readlines()
for line in data:
w = line.split(":")
title.append(w[1])
for line in data:
w... | 15.444444 | 43 | 0.535252 |
80d37d91e7e3b94e92127c52267fea900fab6810 | 6,072 | py | Python | libvis/scripts/LMOptimizer SE3Optimization Test Jacobian derivation.py | zimengjiang/badslam | 785a2a5a11ce57b09d47ea7ca6a42196a4f12409 | [
"BSD-3-Clause"
] | 541 | 2019-06-16T22:12:49.000Z | 2022-03-31T05:53:56.000Z | libvis/scripts/LMOptimizer SE3Optimization Test Jacobian derivation.py | zimengjiang/badslam | 785a2a5a11ce57b09d47ea7ca6a42196a4f12409 | [
"BSD-3-Clause"
] | 82 | 2019-06-18T06:45:38.000Z | 2022-01-23T00:34:34.000Z | libvis/scripts/LMOptimizer SE3Optimization Test Jacobian derivation.py | zimengjiang/badslam | 785a2a5a11ce57b09d47ea7ca6a42196a4f12409 | [
"BSD-3-Clause"
] | 104 | 2019-06-17T06:42:20.000Z | 2022-03-16T20:51:22.000Z | from sympy import *
# Implementation of QuaternionBase<Derived>::toRotationMatrix(void).
# The quaternion q is given as a list [qw, qx, qy, qz].
# Implementation of SO3Group<Scalar> expAndTheta().
# Only implementing the first case (of very small rotation) since we take the Jacobian at zero.
# Implementation of S... | 33 | 110 | 0.69697 |
80d50d6044510b122ab7b7a8eb1e2e582f2b674a | 2,286 | py | Python | train_cnn.py | hee9joon/Single-Image-Super-Resolution | f4622b179943e8e52582971bb0f976406ae4d374 | [
"MIT"
] | 5 | 2021-02-27T13:13:08.000Z | 2022-03-24T01:54:20.000Z | train_cnn.py | hee9joon/Single-Image-Super-Resolution | f4622b179943e8e52582971bb0f976406ae4d374 | [
"MIT"
] | 2 | 2021-02-27T13:13:57.000Z | 2021-03-12T04:45:49.000Z | train_cnn.py | hee9joon/Single-Image-Super-Resolution | f4622b179943e8e52582971bb0f976406ae4d374 | [
"MIT"
] | 1 | 2021-03-18T15:03:58.000Z | 2021-03-18T15:03:58.000Z | import os
import numpy as np
import warnings
warnings.filterwarnings('ignore')
import torch
import torch.nn as nn
from torchvision.utils import save_image
from utils import get_lr_scheduler, sample_images, inference
# Reproducibility #
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
... | 31.75 | 136 | 0.61986 |
80d976b647bf6411a96e4d01f4938331a5d6bf01 | 5,704 | py | Python | GGL_LensCats/CREATE_FITS_HEALPIX_MASKS/BOSS_2dFLenS_healpix_masks.py | KiDS-WL/Cat_to_Obs_K1000_P1 | 0de7f79cab150416859ffe58ac2d0f5659aedb5d | [
"MIT"
] | 7 | 2020-11-18T12:58:03.000Z | 2021-07-01T08:54:29.000Z | GGL_LensCats/CREATE_FITS_HEALPIX_MASKS/BOSS_2dFLenS_healpix_masks.py | KiDS-WL/Cat_to_Obs_K1000_P1 | 0de7f79cab150416859ffe58ac2d0f5659aedb5d | [
"MIT"
] | null | null | null | GGL_LensCats/CREATE_FITS_HEALPIX_MASKS/BOSS_2dFLenS_healpix_masks.py | KiDS-WL/Cat_to_Obs_K1000_P1 | 0de7f79cab150416859ffe58ac2d0f5659aedb5d | [
"MIT"
] | 3 | 2020-12-09T13:30:22.000Z | 2022-03-02T01:40:13.000Z |
##############################
## MFP_K1000.py ##
## Chieh-An Lin ##
## Version 2020.03.25 ##
##############################
import os
import os.path as osp
import time
import subprocess as spc
import numpy as np
import scipy as sp
import astropy.io.fits as fits
im... | 30.340426 | 106 | 0.648142 |
80d9b6be298e2345e53f3894aadc55c0241856e5 | 667 | py | Python | 2019/try/simple.py | rishidevc/stkovrflw | c33dffbce887f32f609a10dd717d594390ceac8b | [
"MIT"
] | null | null | null | 2019/try/simple.py | rishidevc/stkovrflw | c33dffbce887f32f609a10dd717d594390ceac8b | [
"MIT"
] | 5 | 2020-05-04T03:11:14.000Z | 2021-06-10T20:20:38.000Z | 2019/try/simple.py | rishidevc/stkovrflw | c33dffbce887f32f609a10dd717d594390ceac8b | [
"MIT"
] | 1 | 2019-07-31T18:28:34.000Z | 2019-07-31T18:28:34.000Z |
print("Welcome to the Adder REPL.")
my_dict = dict()
while True:
user_input = input("???")
if 'gets' in user_input:
get_assign(user_input)
if 'input' in user_input:
print("Enter a value for :")
input_assign()
if 'adds' in user_input:
a, b = user_input.split("adds"... | 17.552632 | 41 | 0.590705 |
80d9debe23c9db0ad1b1b6b68cf7cfe21670c087 | 794 | py | Python | mecc/middleware.py | unistra/eva | 9f7bd8c44edbca05eb45b36cb5b8e658e53bc3c0 | [
"Apache-2.0"
] | null | null | null | mecc/middleware.py | unistra/eva | 9f7bd8c44edbca05eb45b36cb5b8e658e53bc3c0 | [
"Apache-2.0"
] | 3 | 2021-03-19T10:36:10.000Z | 2021-09-08T01:37:47.000Z | mecc/middleware.py | unistra/eva | 9f7bd8c44edbca05eb45b36cb5b8e658e53bc3c0 | [
"Apache-2.0"
] | null | null | null | from django.contrib.auth.models import User
from mecc.apps.years.models import UniversityYear
| 34.521739 | 78 | 0.649874 |
80d9f8b742cb13b15fbc315b930cd55547e4866b | 4,031 | py | Python | solitude/_commandline/main.py | incerto-crypto/solitude | 1b21a2ca4912da212d413322953ceb4ec2983c17 | [
"BSD-3-Clause"
] | 7 | 2019-03-25T21:48:42.000Z | 2022-02-25T08:21:35.000Z | solitude/_commandline/main.py | incerto-crypto/solitude | 1b21a2ca4912da212d413322953ceb4ec2983c17 | [
"BSD-3-Clause"
] | null | null | null | solitude/_commandline/main.py | incerto-crypto/solitude | 1b21a2ca4912da212d413322953ceb4ec2983c17 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2019, Solitude Developers
#
# This source code is licensed under the BSD-3-Clause license found in the
# COPYING file in the root directory of this source tree
from typing import List, Tuple # noqa
import sys
import os
import argparse
import datetime
import binascii
import json
... | 30.537879 | 93 | 0.685686 |
80db565e93e8ec6a3e32ef24bd87723013e86005 | 8,308 | py | Python | pypy/module/cpyext/typeobjectdefs.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | 1 | 2020-01-21T11:10:51.000Z | 2020-01-21T11:10:51.000Z | pypy/module/cpyext/typeobjectdefs.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | null | null | null | pypy/module/cpyext/typeobjectdefs.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | null | null | null | from pypy.rpython.lltypesystem import rffi, lltype
from pypy.rpython.lltypesystem.lltype import Ptr, FuncType, Void
from pypy.module.cpyext.api import (cpython_struct, Py_ssize_t, Py_ssize_tP,
PyVarObjectFields, PyTypeObject, PyTypeObjectPtr, FILEP,
Py_TPFLAGS_READYING, Py_TPFLAGS_READY, Py_TPFLAGS_HEAPTYPE)
fr... | 34.907563 | 79 | 0.662253 |
80dbd2a18f61160481567354d8144c8201971b32 | 718 | py | Python | photobooth/1-web-base-layout/app/views.py | albertoSoto/raspberry-tic-projects | 692762dade2397ba4bedb77b4733a1d5d9829450 | [
"MIT"
] | null | null | null | photobooth/1-web-base-layout/app/views.py | albertoSoto/raspberry-tic-projects | 692762dade2397ba4bedb77b4733a1d5d9829450 | [
"MIT"
] | null | null | null | photobooth/1-web-base-layout/app/views.py | albertoSoto/raspberry-tic-projects | 692762dade2397ba4bedb77b4733a1d5d9829450 | [
"MIT"
] | null | null | null | from flask import render_template, flash, redirect
from app import app
| 24.758621 | 58 | 0.473538 |
80dc746d4a550ea42299b59b314c14103e5afb26 | 14,420 | py | Python | twstock/stock.py | LorneWu/twstock | 8fbdd9fa7160f5441d29575544be8d9c570945cd | [
"MIT"
] | null | null | null | twstock/stock.py | LorneWu/twstock | 8fbdd9fa7160f5441d29575544be8d9c570945cd | [
"MIT"
] | null | null | null | twstock/stock.py | LorneWu/twstock | 8fbdd9fa7160f5441d29575544be8d9c570945cd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
import urllib.parse
from collections import namedtuple
from operator import attrgetter
from time import sleep
from twstock.proxy import get_proxies
import os
import json
try:
from json.decoder import JSONDecodeError
except ImportError:
JSONDecodeError = ValueError
imp... | 36.231156 | 162 | 0.559501 |
80dc78ffed99f08797f54d11b8b5ae608f71cfe0 | 2,208 | py | Python | kth_power.py | UPstartDeveloper/Problem_Solving_Practice | bd61333b3b056e82a94297e02bc05a17552e3496 | [
"MIT"
] | null | null | null | kth_power.py | UPstartDeveloper/Problem_Solving_Practice | bd61333b3b056e82a94297e02bc05a17552e3496 | [
"MIT"
] | null | null | null | kth_power.py | UPstartDeveloper/Problem_Solving_Practice | bd61333b3b056e82a94297e02bc05a17552e3496 | [
"MIT"
] | null | null | null | """
Solution for
Sort Integers by The Power Value: https://leetcode.com/problems/sort-integers-by-the-power-value/
"""
| 28.307692 | 97 | 0.498188 |
80dcec9d61fecffce04b116dfcd7c74ede2c697a | 847 | py | Python | aruco-decoder/tests/test_aruco_detection_blue.py | Shinyhero36/Info | 68c74d44ce8ccf632d4f1b79283ac20ff933670d | [
"MIT"
] | 2 | 2021-11-02T09:14:35.000Z | 2021-11-22T19:24:19.000Z | aruco-decoder/tests/test_aruco_detection_blue.py | Shinyhero36/Info | 68c74d44ce8ccf632d4f1b79283ac20ff933670d | [
"MIT"
] | null | null | null | aruco-decoder/tests/test_aruco_detection_blue.py | Shinyhero36/Info | 68c74d44ce8ccf632d4f1b79283ac20ff933670d | [
"MIT"
] | null | null | null | import os
import unittest
from aruco import ArucoDetector
if __name__ == '__main__':
unittest.main(verbosity=3)
| 26.46875 | 84 | 0.68595 |
80de6c64c1123b72f584b7441b7d5bc184df60a9 | 1,218 | py | Python | script.py | michaelihwang/speedtest-monitor | a412ba4ec74d80fb07498258af6ee934ec9e2686 | [
"MIT"
] | 1 | 2020-10-25T22:22:20.000Z | 2020-10-25T22:22:20.000Z | script.py | michaelihwang/speedtest-monitor | a412ba4ec74d80fb07498258af6ee934ec9e2686 | [
"MIT"
] | null | null | null | script.py | michaelihwang/speedtest-monitor | a412ba4ec74d80fb07498258af6ee934ec9e2686 | [
"MIT"
] | null | null | null | import sys
import time
from datetime import datetime
from traceback import print_exc
import speedtest
from decorator import restartable
KILOBYTE = 1024
MEGABYTE = 1024 * KILOBYTE
REPORT_FREQ = 60
if __name__ == "__main__":
main()
| 24.857143 | 93 | 0.625616 |
80e0d1c76660cb41ffbb52948c7fc98bd6120bac | 8,901 | py | Python | reports/management/mw.py | Wellheor1/l2 | d980210921c545c68fe9d5522bb693d567995024 | [
"MIT"
] | 10 | 2018-03-14T06:17:06.000Z | 2022-03-10T05:33:34.000Z | reports/management/mw.py | Wellheor1/l2 | d980210921c545c68fe9d5522bb693d567995024 | [
"MIT"
] | 512 | 2018-09-10T07:37:34.000Z | 2022-03-30T02:23:43.000Z | reports/management/mw.py | D00dleman/l2 | 0870144537ee340cd8db053a608d731e186f02fb | [
"MIT"
] | 24 | 2018-07-31T05:52:12.000Z | 2022-02-08T00:39:41.000Z | import os
from importlib import import_module
from django.apps import apps
from django.db.migrations.loader import MigrationLoader
from django.db.migrations.serializer import serializer_factory
from django.db.models import ForeignKey, ManyToManyField
from django.utils.inspect import get_func_args
from django.utils.mod... | 40.459091 | 182 | 0.526795 |
80e0fed34003c8412ae4f44e18a85afe86d3f7f7 | 375 | py | Python | example/011_matching_zero_or_more_repetitions.py | mafda/regex_101 | 085a9ee48829243d87e4bd74bb1baf07abc6481e | [
"MIT"
] | null | null | null | example/011_matching_zero_or_more_repetitions.py | mafda/regex_101 | 085a9ee48829243d87e4bd74bb1baf07abc6481e | [
"MIT"
] | null | null | null | example/011_matching_zero_or_more_repetitions.py | mafda/regex_101 | 085a9ee48829243d87e4bd74bb1baf07abc6481e | [
"MIT"
] | null | null | null | """
Task
You have a test string S.
Your task is to write a regex that will match S using the following conditions:
S should begin with 2 or more digits.
After that, S should have 0 or more lowercase letters.
S should end with 0 or more uppercase letters
"""
import re
Regex_Pattern = r'^[\d]{2,}[a-z]*[A-Z]*$'
print... | 22.058824 | 79 | 0.712 |
80e115033a86c707eb93a0ae3031b719ba2a3293 | 3,755 | py | Python | day-16/part_2.py | leotappe/aoc-2021 | 6132e01bd9b4c6ee6a8d95e213f08463102596c2 | [
"MIT"
] | null | null | null | day-16/part_2.py | leotappe/aoc-2021 | 6132e01bd9b4c6ee6a8d95e213f08463102596c2 | [
"MIT"
] | null | null | null | day-16/part_2.py | leotappe/aoc-2021 | 6132e01bd9b4c6ee6a8d95e213f08463102596c2 | [
"MIT"
] | null | null | null | """
Advent of Code 2021 | Day 16 | Part 2
"""
import sys
import math
def get_version(bits, start_index):
return int(bits[start_index:start_index + 3], base=2)
def get_type_id(bits, start_index):
return int(bits[start_index + 3:start_index + 6], base=2)
def get_literal_value(bits, start_index):
group... | 30.282258 | 104 | 0.622636 |
80e8e4f12d8b86345865f28ec633cf5984a0885b | 2,142 | py | Python | pyspark/test/bigdl/test_engine_env.py | twicoder/BigDL | f065db372e1c682fa4a7903e287bba21d5f46750 | [
"Apache-2.0"
] | 55 | 2018-01-12T01:43:29.000Z | 2021-03-09T02:35:56.000Z | pyspark/test/bigdl/test_engine_env.py | jason-hzw/BigDL | ef4f4137965147e2bc59e41f40c4acbb50eeda97 | [
"Apache-2.0"
] | 4 | 2018-01-15T07:34:41.000Z | 2018-01-16T05:46:12.000Z | pyspark/test/bigdl/test_engine_env.py | jason-hzw/BigDL | ef4f4137965147e2bc59e41f40c4acbb50eeda97 | [
"Apache-2.0"
] | 22 | 2018-01-15T14:18:15.000Z | 2019-12-16T18:51:33.000Z | #
# Copyright 2016 The BigDL 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 applicable law or agreed to in ... | 36.305085 | 85 | 0.694211 |
80e9be4c60061c31a13757a6151f6f453e313e20 | 5,047 | py | Python | hex-to-dec/eval.py | adiyen/jetson-projects | 4f0f7fcdbf885dbde896e4e97b01d2349a44797d | [
"MIT"
] | null | null | null | hex-to-dec/eval.py | adiyen/jetson-projects | 4f0f7fcdbf885dbde896e4e97b01d2349a44797d | [
"MIT"
] | null | null | null | hex-to-dec/eval.py | adiyen/jetson-projects | 4f0f7fcdbf885dbde896e4e97b01d2349a44797d | [
"MIT"
] | null | null | null | # MIT License
# Copyright (c) 2019 JetsonHacks
# See license
# Using a CSI camera (such as the Raspberry Pi Version 2) connected to a
# NVIDIA Jetson Nano Developer Kit using OpenCV
# Drivers for the camera and OpenCV are included in the base image
from __future__ import print_function
import os
import argparse
impor... | 37.947368 | 136 | 0.618585 |
80eafa3cec93de224ebf997c5f37fafcf8ce4716 | 146 | py | Python | graphics/__main__.py | wangyibin/biowy | a534f35fc6f96fe1b3a6ca78853a5aa076337328 | [
"BSD-2-Clause"
] | 1 | 2018-10-22T04:44:42.000Z | 2018-10-22T04:44:42.000Z | graphics/__main__.py | wangyibin/bioway | a534f35fc6f96fe1b3a6ca78853a5aa076337328 | [
"BSD-2-Clause"
] | null | null | null | graphics/__main__.py | wangyibin/bioway | a534f35fc6f96fe1b3a6ca78853a5aa076337328 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Time: 2019/1/8 16:41
from bioway.apps.base import dmain
if __name__ == "__main__":
dmain() | 14.6 | 34 | 0.623288 |
80ec08dee27899b7efa435ee963821efd51d2ad1 | 5,050 | py | Python | sparse_operation_kit/sparse_operation_kit/core/initialize.py | marsmiao/HugeCTR | c9ff359a69565200fcc0c7aae291d9c297bea70e | [
"Apache-2.0"
] | null | null | null | sparse_operation_kit/sparse_operation_kit/core/initialize.py | marsmiao/HugeCTR | c9ff359a69565200fcc0c7aae291d9c297bea70e | [
"Apache-2.0"
] | null | null | null | sparse_operation_kit/sparse_operation_kit/core/initialize.py | marsmiao/HugeCTR | c9ff359a69565200fcc0c7aae291d9c297bea70e | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2021, NVIDIA CORPORATION.
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 ... | 47.196262 | 109 | 0.575248 |
80ed103ee3a82af548fecca2907a61d57c124b83 | 503 | py | Python | ErrorsAndExceptionsHandling/assignment.py | theprogrammingthinker/Python-practice | fef11a7fbd5082a0614b01f88a13ea29d68860bf | [
"Unlicense"
] | 1 | 2017-05-02T10:28:36.000Z | 2017-05-02T10:28:36.000Z | ErrorsAndExceptionsHandling/assignment.py | theprogrammingthinker/Python-practice | fef11a7fbd5082a0614b01f88a13ea29d68860bf | [
"Unlicense"
] | null | null | null | ErrorsAndExceptionsHandling/assignment.py | theprogrammingthinker/Python-practice | fef11a7fbd5082a0614b01f88a13ea29d68860bf | [
"Unlicense"
] | null | null | null | try:
for i in ['a', 'b', 'c']:
print(i ** 2)
except TypeError:
print("An error occured!")
x = 5
y = 0
try:
z = x /y
print(z)
except ZeroDivisionError:
print("Can't devide by zero")
finally:
print("All done")
ask()
| 16.766667 | 56 | 0.516899 |
80ee0d6b8414bcb69cd0dca69b5279de3f08e3fc | 3,846 | py | Python | ex1/owais/imu_exercise.py | balintmaci/drone_intro_exercises | 1d8b839fecd6b0c5e33210b9a88fd741a71034cc | [
"Unlicense"
] | null | null | null | ex1/owais/imu_exercise.py | balintmaci/drone_intro_exercises | 1d8b839fecd6b0c5e33210b9a88fd741a71034cc | [
"Unlicense"
] | null | null | null | ex1/owais/imu_exercise.py | balintmaci/drone_intro_exercises | 1d8b839fecd6b0c5e33210b9a88fd741a71034cc | [
"Unlicense"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# IMU exercise
# Copyright (c) 2015-2020 Kjeld Jensen kjen@mmmi.sdu.dk kj@kjen.dk
##### Insert initialize code below ###################
## Uncomment the file to read ##
fileName = 'imu_razor_data_static.txt'
#fileName = 'imu_razor_data_pitch_55deg.txt'
#fileName = 'imu_razo... | 23.888199 | 76 | 0.619345 |
80ef3cf60e112d79c054dc1061b480da77a25354 | 1,148 | py | Python | theroot/users_bundle/models/address.py | Deviad/Adhesive | a7eb5140c4e5de783aca24ea935b3bf00a44f3e1 | [
"MIT"
] | null | null | null | theroot/users_bundle/models/address.py | Deviad/Adhesive | a7eb5140c4e5de783aca24ea935b3bf00a44f3e1 | [
"MIT"
] | null | null | null | theroot/users_bundle/models/address.py | Deviad/Adhesive | a7eb5140c4e5de783aca24ea935b3bf00a44f3e1 | [
"MIT"
] | null | null | null | from theroot.db import *
from theroot.users_bundle.models.user_info import address_user_table
| 44.153846 | 108 | 0.675958 |
80efd9b0c916dc081a320670389bb8f5cfdb867a | 76 | py | Python | aoc/day06_2.py | GitOnUp/Advent2021 | c9cd5a2d38a09389bdecac5f45be854da7aacee8 | [
"MIT"
] | null | null | null | aoc/day06_2.py | GitOnUp/Advent2021 | c9cd5a2d38a09389bdecac5f45be854da7aacee8 | [
"MIT"
] | null | null | null | aoc/day06_2.py | GitOnUp/Advent2021 | c9cd5a2d38a09389bdecac5f45be854da7aacee8 | [
"MIT"
] | null | null | null | from aoc.day06_1 import run
if __name__ == "__main__":
print(run(256))
| 15.2 | 27 | 0.684211 |
80f11b3d5441eb3f837c986bb073d3b384465c04 | 36,516 | py | Python | pymatgen/io/abinitio/workflow.py | miaoliu/pymatgen | fe3c48ce3334924e6693f857aebc64b9714d1af2 | [
"MIT"
] | null | null | null | pymatgen/io/abinitio/workflow.py | miaoliu/pymatgen | fe3c48ce3334924e6693f857aebc64b9714d1af2 | [
"MIT"
] | null | null | null | pymatgen/io/abinitio/workflow.py | miaoliu/pymatgen | fe3c48ce3334924e6693f857aebc64b9714d1af2 | [
"MIT"
] | null | null | null | """
Abinit workflows
"""
from __future__ import division, print_function
import sys
import os
import os.path
import shutil
import abc
import collections
import functools
import numpy as np
from pprint import pprint
from pymatgen.core.lattice import Lattice
from pymatgen.core.structure import Structure
from pymatgen.... | 32.172687 | 126 | 0.578322 |
80f13a81a491ee548192c6197ec3cfb3667be23d | 65 | py | Python | mdstudio/mdstudio/deferred/__init__.py | NLeSC/LIEStudio | 03c163b4a2590b4e2204621e1c941c28a9624887 | [
"Apache-2.0"
] | 10 | 2017-09-14T07:26:15.000Z | 2021-04-01T09:33:03.000Z | mdstudio/mdstudio/deferred/__init__.py | NLeSC/LIEStudio | 03c163b4a2590b4e2204621e1c941c28a9624887 | [
"Apache-2.0"
] | 117 | 2017-09-13T08:09:48.000Z | 2019-10-03T12:19:13.000Z | mdstudio/mdstudio/deferred/__init__.py | NLeSC/LIEStudio | 03c163b4a2590b4e2204621e1c941c28a9624887 | [
"Apache-2.0"
] | 1 | 2018-09-26T09:40:51.000Z | 2018-09-26T09:40:51.000Z | __all__ = ['chainable', 'make_deferred', "return_value", 'lock']
| 32.5 | 64 | 0.692308 |
80f142bd0ab437969db559a95c9f06b07679a259 | 1,440 | py | Python | setup.py | TheMatjaz/RangeForce | 906b0e303d2e4eecac75dc4680f7d9b1a86bd79c | [
"BSD-3-Clause"
] | null | null | null | setup.py | TheMatjaz/RangeForce | 906b0e303d2e4eecac75dc4680f7d9b1a86bd79c | [
"BSD-3-Clause"
] | null | null | null | setup.py | TheMatjaz/RangeForce | 906b0e303d2e4eecac75dc4680f7d9b1a86bd79c | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2019-2020, Matja Gutin <dev@matjaz.it> <https://matjaz.it>.
# Released under the BSD 3-Clause License
"""Package setup for the Rangeforce library."""
from distutils.core import setup
# noinspection PyUnresolvedReferences
import setuptools
setup(
name... | 28.235294 | 75 | 0.603472 |
80f14f64278b66615ac972c541b233272625a4d5 | 6,079 | py | Python | dataset/Dataset Processing/data_processing.py | Eashwar-S/Icy-Road-Website | f07bf56212e36e786ffaea3c67f35fd301600c47 | [
"MIT"
] | null | null | null | dataset/Dataset Processing/data_processing.py | Eashwar-S/Icy-Road-Website | f07bf56212e36e786ffaea3c67f35fd301600c47 | [
"MIT"
] | null | null | null | dataset/Dataset Processing/data_processing.py | Eashwar-S/Icy-Road-Website | f07bf56212e36e786ffaea3c67f35fd301600c47 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[10]:
import os
import pandas as pd
import networkx as nx
import matplotlib.pyplot as plt
import random as rd
# In[11]:
# In[12]:
# In[13]:
# In[14]:
# In[15]:
# In[16]:
# In[25]:
# def createGraph(inputType = 'txt'):
# # folderPath = '../CARP_datas... | 33.772222 | 155 | 0.611614 |
80f1fcacc7763df5460142961dd40a1c5c44d6a2 | 160 | py | Python | settings.py | ErikRichardS/mnist-ann | 3fb34a25ec41177d34445d2ccda6cf42b7d4175e | [
"MIT"
] | null | null | null | settings.py | ErikRichardS/mnist-ann | 3fb34a25ec41177d34445d2ccda6cf42b7d4175e | [
"MIT"
] | null | null | null | settings.py | ErikRichardS/mnist-ann | 3fb34a25ec41177d34445d2ccda6cf42b7d4175e | [
"MIT"
] | null | null | null | NR_CLASSES = 10
hyperparameters = {
"number-epochs" : 30,
"batch-size" : 100,
"learning-rate" : 0.005,
"weight-decay" : 1e-9,
"learning-decay" : 1e-3
}
| 14.545455 | 25 | 0.61875 |
80f3f14a093019280342ab7f0daf049daf505aeb | 141 | py | Python | strategy/managers.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | strategy/managers.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | strategy/managers.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | from core.managers import CoreManager
| 11.75 | 41 | 0.780142 |
80f51317fba911ed237d54c4c7c39490d353795f | 903 | py | Python | 03 Prime Number .py | yoursamlan/FunWithNumbers | 15e139a7c7d56f0553ef63446ab08f68c8262631 | [
"MIT"
] | null | null | null | 03 Prime Number .py | yoursamlan/FunWithNumbers | 15e139a7c7d56f0553ef63446ab08f68c8262631 | [
"MIT"
] | null | null | null | 03 Prime Number .py | yoursamlan/FunWithNumbers | 15e139a7c7d56f0553ef63446ab08f68c8262631 | [
"MIT"
] | null | null | null | # A prime number is a positive integer greater than one, that has no positive integer factors except one and itself.
# Since we have already dealt with number of factors of a number, I'm thinking to implement this idea finding prime number.
# The prime number has the factor of 1 and itself.
# So, number of factors of a... | 28.21875 | 123 | 0.635659 |
80f9553aa2281baf010bcd189b89d3921013e8ac | 1,903 | py | Python | upload2db/upload2db.py | rhoerbe/eu23enerwatch | 2749f0d3314580fa9df3251a2151817ec8c38d9c | [
"MIT"
] | null | null | null | upload2db/upload2db.py | rhoerbe/eu23enerwatch | 2749f0d3314580fa9df3251a2151817ec8c38d9c | [
"MIT"
] | null | null | null | upload2db/upload2db.py | rhoerbe/eu23enerwatch | 2749f0d3314580fa9df3251a2151817ec8c38d9c | [
"MIT"
] | null | null | null | """
Upload samples into database
"""
import os
import sys
import psycopg2
from pathlib import Path
import constants
main() | 26.068493 | 113 | 0.601682 |
80f9d023d887fe6457bea250a3a2411216917f21 | 1,314 | py | Python | tests/unit/test_heap.py | thoughteer/edera | c4ddb5d8a25906c3bd773c91afb3260fc0b704f2 | [
"MIT"
] | 3 | 2018-11-27T15:45:19.000Z | 2018-12-21T20:32:10.000Z | tests/unit/test_heap.py | thoughteer/edera | c4ddb5d8a25906c3bd773c91afb3260fc0b704f2 | [
"MIT"
] | 18 | 2018-12-02T18:38:59.000Z | 2020-02-05T22:09:37.000Z | tests/unit/test_heap.py | thoughteer/edera | c4ddb5d8a25906c3bd773c91afb3260fc0b704f2 | [
"MIT"
] | null | null | null | import pytest
from edera import Heap
| 21.9 | 57 | 0.605784 |
80faad49d3190989627064e2432a5db253be98cb | 502 | py | Python | curso_python#07.py/desafio7.1.py | robinson-85/python_curso_em_video | ba6292650663dee377c50b4be87ba1c2b5f1d475 | [
"MIT"
] | null | null | null | curso_python#07.py/desafio7.1.py | robinson-85/python_curso_em_video | ba6292650663dee377c50b4be87ba1c2b5f1d475 | [
"MIT"
] | null | null | null | curso_python#07.py/desafio7.1.py | robinson-85/python_curso_em_video | ba6292650663dee377c50b4be87ba1c2b5f1d475 | [
"MIT"
] | null | null | null | ''' 7. Desenvolva um programa que leia as duas notas de um aluno, calcule
e mostre a sua mdia. '''
import sys
try:
n1 = float(input("Primeira nota do aluno: "))
except Exception as error:
print("Voce deve informar apenas numeros")
sys.exit()
try:
n2 = float(input("Segunda nota do aluno: "))
except E... | 26.421053 | 77 | 0.653386 |
80fb1b3d4994990978cea4fcec79ef10d6af88e1 | 973 | py | Python | demo.py | Ph1lippK/anonymizer | c200ac501194544d00b9dedbbc4860e48f48c548 | [
"Apache-2.0"
] | null | null | null | demo.py | Ph1lippK/anonymizer | c200ac501194544d00b9dedbbc4860e48f48c548 | [
"Apache-2.0"
] | null | null | null | demo.py | Ph1lippK/anonymizer | c200ac501194544d00b9dedbbc4860e48f48c548 | [
"Apache-2.0"
] | null | null | null | import streamlit as st
st.image(
"https://datascientest.com/wp-content/uploads/2020/10/logo-text-right.png.webp"
)
st.header("Dvelopper et dployer une application de Machine learning en **Streamlit**")
st.info("Webinar du 04/05/2021")
st.markdown("---")
st.markdown(
"""
**Objectifs **
* Se famil... | 23.166667 | 88 | 0.681398 |
80fbde707dcc237d96a9a00970ee7fdc1b035ca5 | 7,710 | py | Python | cogs/weapon_exp_calculator.py | richiekim/GenshinCalc | 8a8eac605bc03b8729334f5110f1052cfeebbe91 | [
"MIT"
] | null | null | null | cogs/weapon_exp_calculator.py | richiekim/GenshinCalc | 8a8eac605bc03b8729334f5110f1052cfeebbe91 | [
"MIT"
] | 3 | 2021-01-19T11:29:19.000Z | 2021-01-19T11:30:16.000Z | cogs/weapon_exp_calculator.py | richiekim/unital | 8a8eac605bc03b8729334f5110f1052cfeebbe91 | [
"MIT"
] | null | null | null | import discord
import json
import math
from discord.ext import commands
from common_functions import default_embed_template, use_exp_mat
MYSTIC = 10000
FINE = 2000
NORMAL = 400
ASCENSION_MILESTONES = [90, 80, 70, 60, 50, 40, 20]
# Input:
# current level, goal level, current exp, and number of mystic, fine and reg... | 41.010638 | 234 | 0.748508 |
80fcaf869f884bfa65105bd82efb6048d76b37ce | 38 | py | Python | test/test-sys.py | xupingmao/minipy | 5bce2f238925eb92fe9ff7d935f59ef68daa257a | [
"MIT"
] | 52 | 2016-07-11T10:14:35.000Z | 2021-12-09T09:10:43.000Z | test/test_case/060_test_sys.py | xupingmao/snake | c956f151ed1ebd2faeaf1565352b59ca5a8fa0b4 | [
"MIT"
] | 13 | 2016-07-24T13:50:37.000Z | 2019-03-02T06:56:18.000Z | test/test_case/060_test_sys.py | xupingmao/snake | c956f151ed1ebd2faeaf1565352b59ca5a8fa0b4 | [
"MIT"
] | 9 | 2017-01-27T10:46:04.000Z | 2021-12-09T09:10:46.000Z |
import sys
assert len(sys.argv) == 1 | 9.5 | 25 | 0.684211 |
80fd13c03cdfaa618f595e649dee4f74f7c9f3b9 | 498 | py | Python | genthreads/actor.py | f1sty/genthreads | 00e509b7315b7e0107e1c46235ec11e044aeb9ef | [
"MIT"
] | null | null | null | genthreads/actor.py | f1sty/genthreads | 00e509b7315b7e0107e1c46235ec11e044aeb9ef | [
"MIT"
] | null | null | null | genthreads/actor.py | f1sty/genthreads | 00e509b7315b7e0107e1c46235ec11e044aeb9ef | [
"MIT"
] | null | null | null | from multiprocessing import Process
| 21.652174 | 58 | 0.628514 |
0383eebbfbfff2168965dd0292da22a7b499eb2b | 25,457 | py | Python | mopidy_pidi/brainz.py | JimmyBlunt/mopidy-pidi | 30d99c2850bc527b81e8eec8941adcd49c2423d3 | [
"Apache-2.0"
] | null | null | null | mopidy_pidi/brainz.py | JimmyBlunt/mopidy-pidi | 30d99c2850bc527b81e8eec8941adcd49c2423d3 | [
"Apache-2.0"
] | null | null | null | mopidy_pidi/brainz.py | JimmyBlunt/mopidy-pidi | 30d99c2850bc527b81e8eec8941adcd49c2423d3 | [
"Apache-2.0"
] | null | null | null | """
Musicbrainz related functions.
"""
import base64
import logging
import os
import time
from threading import Thread
import musicbrainzngs as mus
from .__init__ import __version__
logger = logging.getLogger(__name__)
'''
/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBxAPDhUPDw8QDw8PEA8VFQ8QDxAPDhAVFhEWFxUVFh... | 79.553125 | 5,753 | 0.864124 |
0384989e82636b5dbefe82692c4b228ca4b5e756 | 607 | py | Python | class4/pm.py | patrebert/pynet_cert | b82cce3ddb20d9e4abc89d74579ddeb3513bdf55 | [
"Apache-2.0"
] | null | null | null | class4/pm.py | patrebert/pynet_cert | b82cce3ddb20d9e4abc89d74579ddeb3513bdf55 | [
"Apache-2.0"
] | null | null | null | class4/pm.py | patrebert/pynet_cert | b82cce3ddb20d9e4abc89d74579ddeb3513bdf55 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
Demonstrate use of paramiko to connect to
managed device, send commands, get output
"""
import sys
import paramiko
from getpass import getpass
from time import sleep
ip_addr = '184.105.247.70'
username = 'pyclass'
password = '88newclass'
password=getpass()
sess=paramiko.SSHClient()
sess.set_m... | 22.481481 | 58 | 0.775947 |
0387a1db9142d9733d4ec277b3e83f604075ea51 | 9,590 | py | Python | saraki/utility.py | lucmichalski/saraki | 74c11f70b4e7bdedfd33984cb96944c27a4eebbf | [
"MIT"
] | 3 | 2020-07-01T17:34:39.000Z | 2021-05-04T17:53:01.000Z | saraki/utility.py | lucmichalski/saraki | 74c11f70b4e7bdedfd33984cb96944c27a4eebbf | [
"MIT"
] | 25 | 2018-01-25T00:56:18.000Z | 2021-06-12T04:29:00.000Z | saraki/utility.py | lucmichalski/saraki | 74c11f70b4e7bdedfd33984cb96944c27a4eebbf | [
"MIT"
] | 4 | 2020-04-19T21:24:34.000Z | 2021-01-23T19:04:27.000Z | import datetime
from cerberus import Validator as _Validator
from sqlalchemy import inspect
from sqlalchemy.orm.collections import InstrumentedList
from sqlalchemy.exc import NoInspectionAvailable
def is_sqla_obj(obj):
"""Checks if an object is a SQLAlchemy model instance."""
try:
inspect(obj)
... | 34.496403 | 83 | 0.557873 |
0387e368da07b1b24fdcd7aec00346e86273ba76 | 4,147 | py | Python | fixture/orm.py | Treshch1/python_traning | de796861b7227fab176d342b67cf47acbd2b166f | [
"Apache-2.0"
] | null | null | null | fixture/orm.py | Treshch1/python_traning | de796861b7227fab176d342b67cf47acbd2b166f | [
"Apache-2.0"
] | null | null | null | fixture/orm.py | Treshch1/python_traning | de796861b7227fab176d342b67cf47acbd2b166f | [
"Apache-2.0"
] | null | null | null | from pony.orm import *
from datetime import datetime
from model.group import Group
from model.contact import Contact
import random
| 41.888889 | 111 | 0.667712 |
0387e9376b6688e3463663f91f1a21bc934301ee | 8,994 | py | Python | trustworthiness/util.py | DeFacto/WebCredibility | dfbb990966fc6b33f60378acffa0f12e25183431 | [
"Apache-2.0"
] | 10 | 2018-09-14T06:57:29.000Z | 2021-12-13T18:26:38.000Z | trustworthiness/util.py | DeFacto/WebCredibility | dfbb990966fc6b33f60378acffa0f12e25183431 | [
"Apache-2.0"
] | 1 | 2021-05-16T20:34:23.000Z | 2021-05-16T20:34:23.000Z | trustworthiness/util.py | DeFacto/WebCredibility | dfbb990966fc6b33f60378acffa0f12e25183431 | [
"Apache-2.0"
] | 2 | 2021-06-22T08:30:46.000Z | 2021-12-13T18:26:35.000Z | import collections
import datetime
import logging
import os
import sys
from pathlib import Path
import numpy as np
import pdfkit as pdfkit
from bs4 import BeautifulSoup
from sklearn.metrics import mean_absolute_error, mean_squared_error, confusion_matrix, classification_report, \
accuracy_score
from tldextract imp... | 36.860656 | 203 | 0.603402 |
03887af536a348e4bad8d5d4b9e1fa7903be4aba | 9,953 | py | Python | lib/lopy_max31856.py | kurta241/MAX31856 | cda689b80827561b0524c9ba3aa257a3ab329460 | [
"MIT"
] | 1 | 2018-01-17T02:14:55.000Z | 2018-01-17T02:14:55.000Z | lib/lopy_max31856.py | kurta241/MAX31856 | cda689b80827561b0524c9ba3aa257a3ab329460 | [
"MIT"
] | null | null | null | lib/lopy_max31856.py | kurta241/MAX31856 | cda689b80827561b0524c9ba3aa257a3ab329460 | [
"MIT"
] | 2 | 2019-01-28T11:51:29.000Z | 2021-03-27T22:34:06.000Z | #!/usr/bin/python
#The MIT License (MIT)
#
#Copyright (c) 2017 Kurt Albrecht
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to us... | 41.298755 | 116 | 0.671858 |
0388b46edfbba0396db6a8d52b25d94afdf26576 | 2,045 | py | Python | block.py | IgorReshetnyak/Statistics | f2f876a679389a7ecc4f24f23ca3f8aabd6a2604 | [
"MIT"
] | null | null | null | block.py | IgorReshetnyak/Statistics | f2f876a679389a7ecc4f24f23ca3f8aabd6a2604 | [
"MIT"
] | null | null | null | block.py | IgorReshetnyak/Statistics | f2f876a679389a7ecc4f24f23ca3f8aabd6a2604 | [
"MIT"
] | null | null | null |
"""Blocking analysis
Print running average
Blocking analysis scheme
Running error
takes as input filename to analyze
Igor Reshetnyak 2017
"""
import math,sys,pickle,os.path,pylab,time
if len(sys.argv)<2 :
print 'No file to analyze'
exit()
datafile=sys.argv[1]
file_name=datafile+''
if os.path.isfile(file_name)=... | 18.590909 | 84 | 0.711002 |
038951af24c93c1a96b554943a344caa4bd191ed | 4,038 | py | Python | test/login_test.py | fausecteam/faustctf-2017-toilet | 825d4bf82749ca56e104e9d9b5ecd241a75eb0b6 | [
"0BSD"
] | null | null | null | test/login_test.py | fausecteam/faustctf-2017-toilet | 825d4bf82749ca56e104e9d9b5ecd241a75eb0b6 | [
"0BSD"
] | null | null | null | test/login_test.py | fausecteam/faustctf-2017-toilet | 825d4bf82749ca56e104e9d9b5ecd241a75eb0b6 | [
"0BSD"
] | null | null | null | from util import *
from test import BasicTest
| 37.045872 | 78 | 0.614908 |
0389b372315afb61df48dea72270207d420b8e60 | 24,418 | py | Python | paintbyword/utils/dissect.py | alexandonian/paint-by-word | 40213a597f4ecbc8cf95abe5a6cb856dda01baef | [
"MIT"
] | null | null | null | paintbyword/utils/dissect.py | alexandonian/paint-by-word | 40213a597f4ecbc8cf95abe5a6cb856dda01baef | [
"MIT"
] | null | null | null | paintbyword/utils/dissect.py | alexandonian/paint-by-word | 40213a597f4ecbc8cf95abe5a6cb856dda01baef | [
"MIT"
] | null | null | null | import torch
import re
import copy
import numpy
from torch.utils.data.dataloader import default_collate
from netdissect import nethook, imgviz, tally, unravelconv, upsample
### Experiment below - find the best representative with gradient in the consensus directioin.
# 1. Tally weight grad over the datase... | 39.447496 | 104 | 0.576788 |
038e7cca624d292ed41cd443faa6f20564a62fd4 | 303 | py | Python | abct/abct.py | hornc/abctag | d2abd7384e0e155fbee35c639dd1afe6336f0bd9 | [
"MIT"
] | 2 | 2020-07-25T07:22:50.000Z | 2022-02-06T16:09:27.000Z | abct/abct.py | hornc/abctag | d2abd7384e0e155fbee35c639dd1afe6336f0bd9 | [
"MIT"
] | 2 | 2021-08-21T09:24:14.000Z | 2021-08-24T08:08:57.000Z | abct/abct.py | hornc/abctag | d2abd7384e0e155fbee35c639dd1afe6336f0bd9 | [
"MIT"
] | null | null | null | from math import floor, log
n = lambda x: (x + 1) % 2 + 1
s = lambda x: floor(log(x + 1, 2))
r = lambda x: x // 2 - n(x) + 1 + n(x) * 2**(s(x) - 1)
pn = lambda p: r(p) + (n(p) == 2) * (r(r(p)) - r(p))
dn = lambda p, d: (d + (n(p) == n(d) == 2) * (n(r(p)) * 2**s(d)) - (n(p) == 1)) // (3 - n(p))
| 43.285714 | 94 | 0.392739 |
038ef106b20c259dc5c6a88c1f1d3f5f223b4129 | 289 | py | Python | src/evidently/profile_sections/__init__.py | jenoOvchi/evidently | 6ca36d633ee258442410ef47a219ff40b8a5097b | [
"Apache-2.0"
] | null | null | null | src/evidently/profile_sections/__init__.py | jenoOvchi/evidently | 6ca36d633ee258442410ef47a219ff40b8a5097b | [
"Apache-2.0"
] | null | null | null | src/evidently/profile_sections/__init__.py | jenoOvchi/evidently | 6ca36d633ee258442410ef47a219ff40b8a5097b | [
"Apache-2.0"
] | null | null | null | import warnings
import evidently.model_profile.sections
from evidently.model_profile.sections import *
__path__ = evidently.model_profile.sections.__path__ # type: ignore
warnings.warn("'import evidently.profile_sections' is deprecated, use 'import evidently.model_profile.sections'")
| 32.111111 | 113 | 0.83045 |
038fae421f26bf3cba7bbf5e1d0142783c1ea9e8 | 52,839 | py | Python | openEPhys_DACQ/NWBio.py | Barry-lab/SpatialAutoDACQ | f39341ea5c1a51c328ec43dba8e4d9a8f7d49a48 | [
"MIT"
] | null | null | null | openEPhys_DACQ/NWBio.py | Barry-lab/SpatialAutoDACQ | f39341ea5c1a51c328ec43dba8e4d9a8f7d49a48 | [
"MIT"
] | null | null | null | openEPhys_DACQ/NWBio.py | Barry-lab/SpatialAutoDACQ | f39341ea5c1a51c328ec43dba8e4d9a8f7d49a48 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import h5py
import numpy as np
import os
import sys
from openEPhys_DACQ.HelperFunctions import tetrode_channels, channels_tetrode, closest_argmin
from pprint import pprint
from copy import copy
import argparse
import importlib
from tqdm import tqdm
def spike_waveform_leftwards_shift():
... | 41.409875 | 132 | 0.66203 |
0390c2fe78227e37b4043e6ad937f0c6cdda546d | 10,339 | py | Python | computersimulator/hardware/SimulatedCPU.py | jatgam/Computer-Simulator | a6f496679b16738e74663f092f61e758df9ce6f8 | [
"MIT"
] | 1 | 2021-05-02T12:30:31.000Z | 2021-05-02T12:30:31.000Z | computersimulator/hardware/SimulatedCPU.py | jatgam/Computer-Simulator | a6f496679b16738e74663f092f61e758df9ce6f8 | [
"MIT"
] | null | null | null | computersimulator/hardware/SimulatedCPU.py | jatgam/Computer-Simulator | a6f496679b16738e74663f092f61e758df9ce6f8 | [
"MIT"
] | null | null | null | import logging
import sys
from computersimulator.hardware.SimulatedRAM import SimulatedRAM
from computersimulator.hardware.SimulatedDisk import SimulatedDisk
from computersimulator.utils.bitutils import *
import computersimulator.constants as constants
CONST = constants.Constants
logger = logging.getLogger(__name__)
| 42.372951 | 113 | 0.510978 |
039115099b0acd0dd43e432d85e08424f1e0930e | 1,493 | py | Python | dom/metadata.py | Starwort/domgen | 598f57c2d365cdef353ed1b373a274715c896867 | [
"MIT"
] | null | null | null | dom/metadata.py | Starwort/domgen | 598f57c2d365cdef353ed1b373a274715c896867 | [
"MIT"
] | null | null | null | dom/metadata.py | Starwort/domgen | 598f57c2d365cdef353ed1b373a274715c896867 | [
"MIT"
] | null | null | null | import functools
from .base_classes import Container, Void
Base = BaseURL
Link = ExternalResourceLink
ExternalStyleSheet = functools.partial(ExternalResourceLink, rel="stylesheet")
| 23.698413 | 78 | 0.663094 |
0391350ff5403c977fa0fbdb326f594770fc8943 | 53 | py | Python | catcher_rl/__main__.py | sohnryang/catcher-rl | 8a45080f2be528be8abb94c3a4eea0dc700ab505 | [
"MIT"
] | null | null | null | catcher_rl/__main__.py | sohnryang/catcher-rl | 8a45080f2be528be8abb94c3a4eea0dc700ab505 | [
"MIT"
] | null | null | null | catcher_rl/__main__.py | sohnryang/catcher-rl | 8a45080f2be528be8abb94c3a4eea0dc700ab505 | [
"MIT"
] | null | null | null | """__main__.py"""
import catcher_rl
catcher_rl.main() | 17.666667 | 17 | 0.754717 |
039214ce3d01a32e6fe030aadf9b9ebee3ca3114 | 2,575 | py | Python | helper/downloader/downloadRequest.py | REX-BOTZ/MegaUploaderbot-1 | 025fd97344da388fe607f5db73ad9f4435f51baa | [
"Apache-2.0"
] | 2 | 2021-11-12T13:15:03.000Z | 2021-11-13T12:17:33.000Z | helper/downloader/downloadRequest.py | REX-BOTZ/MegaUploaderbot-1 | 025fd97344da388fe607f5db73ad9f4435f51baa | [
"Apache-2.0"
] | null | null | null | helper/downloader/downloadRequest.py | REX-BOTZ/MegaUploaderbot-1 | 025fd97344da388fe607f5db73ad9f4435f51baa | [
"Apache-2.0"
] | 1 | 2022-01-07T09:55:53.000Z | 2022-01-07T09:55:53.000Z | # !/usr/bin/env python3
"""Importing"""
# Importing Inbuilt packages
from re import match
from shutil import rmtree
from uuid import uuid4
from os import makedirs
# Importing Credentials & Developer defined modules
from helper.downloader.urlDL import UrlDown
from helper.downloader.tgDL import TgDown
from helper.down... | 32.594937 | 105 | 0.650485 |
03925cef2e841a3daf7a534758f7b4e0dfd688dc | 17,544 | py | Python | skyperious/wx_accel.py | tt9133github/Skyperious | 878957fa8e69b21b9c5465458a896a7008e0bcdc | [
"MIT"
] | null | null | null | skyperious/wx_accel.py | tt9133github/Skyperious | 878957fa8e69b21b9c5465458a896a7008e0bcdc | [
"MIT"
] | null | null | null | skyperious/wx_accel.py | tt9133github/Skyperious | 878957fa8e69b21b9c5465458a896a7008e0bcdc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Functionality for binding wx control label shortcut keys to events
automatically. In wx, a button with a label "E&xit" would be displayed as
having the label "Exit" with "x" underlined, indicating a keyboard shortcut,
but wx does not bind these shortcuts automatically, requiring constru... | 48.197802 | 82 | 0.529127 |
0392a06f401816010aba9707153aeba037ae42bf | 217,226 | py | Python | pirates/leveleditor/worldData/CubaIsland.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 3 | 2021-02-25T06:38:13.000Z | 2022-03-22T07:00:15.000Z | pirates/leveleditor/worldData/CubaIsland.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | null | null | null | pirates/leveleditor/worldData/CubaIsland.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 1 | 2021-02-25T06:38:17.000Z | 2021-02-25T06:38:17.000Z | # uncompyle6 version 3.2.0
# Python bytecode 2.4 (62061)
# Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)]
# Embedded file name: pirates.leveleditor.worldData.CubaIsland
from pandac.PandaModules import Point3, VBase3, Vec4, Vec3
objectStruct = {'Locator Links': [['... | 31,032.285714 | 216,785 | 0.666099 |
03940eed9922e68c7391552d1a5597a7b61786aa | 429 | py | Python | src/waldur_slurm/migrations/0006_allocationusage_deposit_usage.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 26 | 2017-10-18T13:49:58.000Z | 2021-09-19T04:44:09.000Z | src/waldur_slurm/migrations/0006_allocationusage_deposit_usage.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 14 | 2018-12-10T14:14:51.000Z | 2021-06-07T10:33:39.000Z | src/waldur_slurm/migrations/0006_allocationusage_deposit_usage.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 32 | 2017-09-24T03:10:45.000Z | 2021-10-16T16:41:09.000Z | # Generated by Django 1.11.7 on 2018-03-05 22:40
from django.db import migrations, models
| 23.833333 | 81 | 0.62704 |
039656005db308c2cb41feae58290804aa2ef90a | 5,940 | py | Python | scripts/error_metrics_parser.py | PoonLab/gromstole | 8c8ec259c5a98fd2ef5aad8ec0293eddb0184432 | [
"MIT"
] | null | null | null | scripts/error_metrics_parser.py | PoonLab/gromstole | 8c8ec259c5a98fd2ef5aad8ec0293eddb0184432 | [
"MIT"
] | 27 | 2022-01-07T17:57:57.000Z | 2022-03-29T19:34:56.000Z | scripts/error_metrics_parser.py | PoonLab/gromstole | 8c8ec259c5a98fd2ef5aad8ec0293eddb0184432 | [
"MIT"
] | 1 | 2022-02-24T17:01:34.000Z | 2022-02-24T17:01:34.000Z | """
from https://github.com/PoonLab/MiCall-Lite, which was forked from
https://github.com/cfe-lab/MiCall.
MiCall is distributed under a dual AGPLv3 license.
"""
import sys
import argparse
from csv import DictWriter
from struct import unpack
import csv
import os
from operator import itemgetter
import sys
import math
... | 36.89441 | 103 | 0.640236 |
0396dd73ecef7ab82a3884a101c60a156ca888d8 | 3,754 | py | Python | Image Segmtation on COCO Dataset/keras_segmentation/data_utils/data_loader.py | joykour/COCO-Dataset-2018-Stuff-Segmentation-Challenge | 973ef2d75c1821c8348fd01a3f2b084c4243ebd2 | [
"MIT"
] | 1 | 2019-11-14T06:49:17.000Z | 2019-11-14T06:49:17.000Z | Image Segmtation on COCO Dataset/keras_segmentation/data_utils/data_loader.py | joykour/COCO-Dataset-2018-Stuff-Segmentation-Challenge | 973ef2d75c1821c8348fd01a3f2b084c4243ebd2 | [
"MIT"
] | null | null | null | Image Segmtation on COCO Dataset/keras_segmentation/data_utils/data_loader.py | joykour/COCO-Dataset-2018-Stuff-Segmentation-Challenge | 973ef2d75c1821c8348fd01a3f2b084c4243ebd2 | [
"MIT"
] | 1 | 2019-11-16T07:39:00.000Z | 2019-11-16T07:39:00.000Z |
import numpy as np
import cv2
import glob
import itertools
import os
from tqdm import tqdm
from ..models.config import IMAGE_ORDERING
from .augmentation import augment_seg
import random
random.seed(0)
class_colors = [ ( random.randint(0,255),random.randint(0,255),random.randint(0,255) ) for _ in range(5000) ]
... | 27.40146 | 171 | 0.661161 |
03972df064d30776ab61ace4cb50e0a249055d77 | 6,032 | py | Python | tests/tests_basic.py | mehrdad-shokri/fluxcapacitor | b4e646e3048a317b33f5a84741b7962fd69cdc61 | [
"MIT"
] | 648 | 2015-01-08T18:05:33.000Z | 2022-03-30T04:35:08.000Z | tests/tests_basic.py | mehrdad-shokri/fluxcapacitor | b4e646e3048a317b33f5a84741b7962fd69cdc61 | [
"MIT"
] | 4 | 2017-08-24T18:05:01.000Z | 2018-01-19T09:06:06.000Z | tests/tests_basic.py | mehrdad-shokri/fluxcapacitor | b4e646e3048a317b33f5a84741b7962fd69cdc61 | [
"MIT"
] | 21 | 2015-05-12T13:03:15.000Z | 2022-03-12T15:12:26.000Z | import os
import tests
from tests import at_most, compile, savefile
import subprocess
node_present = True
erlang_present = True
if os.system("node -v >/dev/null 2>/dev/null") != 0:
print " [!] ignoring nodejs tests"
node_present = False
if (os.system("erl -version >/dev/null 2>/dev/null") != 0 or
os.sys... | 27.418182 | 101 | 0.54443 |
039b50ec23666881fdd70d72494a3f55144b2adf | 444 | py | Python | tests/test_root.py | oclyke-dev/blue-heron | 05d59b66ff1cb10a40e0fb01ee65f778a7c157a8 | [
"MIT"
] | null | null | null | tests/test_root.py | oclyke-dev/blue-heron | 05d59b66ff1cb10a40e0fb01ee65f778a7c157a8 | [
"MIT"
] | null | null | null | tests/test_root.py | oclyke-dev/blue-heron | 05d59b66ff1cb10a40e0fb01ee65f778a7c157a8 | [
"MIT"
] | null | null | null |
import blue_heron
import pytest
from pathlib import Path
from lxml import etree as ET
from blue_heron import Root, Drawing
| 23.368421 | 70 | 0.747748 |
039d7b8e1580ac94ac977880c70a567b910c07cd | 2,223 | py | Python | scripts/evidence/base.py | Oneledger/protocol | 1008fd12d384c9821be2a2ea34b3061cf24ae6bf | [
"Apache-2.0"
] | 38 | 2018-06-30T15:22:06.000Z | 2022-03-20T22:23:07.000Z | scripts/evidence/base.py | Oneledger/protocol | 1008fd12d384c9821be2a2ea34b3061cf24ae6bf | [
"Apache-2.0"
] | 27 | 2018-09-02T09:57:19.000Z | 2021-09-17T18:06:35.000Z | scripts/evidence/base.py | Oneledger/protocol | 1008fd12d384c9821be2a2ea34b3061cf24ae6bf | [
"Apache-2.0"
] | 13 | 2018-06-30T15:22:08.000Z | 2020-07-28T15:00:40.000Z | from __future__ import print_function
from sdk.actions import (
ListValidators,
NodeID,
)
from sdk.cmd_call import (
GetNodeCreds,
Account_Add,
Send,
GetNodeKey,
)
from sdk.rpc_call import (
node_0,
node_2,
node_3,
)
validators = ListValidators()
valDict = {data['name']: data for ... | 30.452055 | 96 | 0.68601 |
039de2956a93e9fe91351642653c24e863f9b4ef | 219 | py | Python | py-data/plugin.video.arteplussept/problems/api-related/1/correct-usages/get_last7days.py | ualberta-smr/NFBugs | 65d9ef603e9527b3d83f53af0606b1ae240513f1 | [
"MIT"
] | 3 | 2019-10-01T19:58:24.000Z | 2021-09-17T04:03:21.000Z | py-data/plugin.video.arteplussept/problems/api-related/1/correct-usages/get_last7days.py | senseconcordia/NFBugsExtended | 60058ccbd64107018a92ede73056d08ecbdaaed2 | [
"MIT"
] | 22 | 2018-08-23T15:15:37.000Z | 2019-03-15T17:09:41.000Z | py-data/plugin.video.arteplussept/problems/api-related/1/correct-usages/get_last7days.py | senseconcordia/NFBugsExtended | 60058ccbd64107018a92ede73056d08ecbdaaed2 | [
"MIT"
] | 1 | 2019-02-11T18:26:36.000Z | 2019-02-11T18:26:36.000Z | from xbmcswift2 import Plugin
from xbmcswift2 import actions
import requests
import os
import urllib2
import time
import datetime
| 19.909091 | 64 | 0.780822 |
039fea1ecb4a2b365be7d8720f22d5ffa6995f74 | 864 | py | Python | pharma/utils.py | RishiMenon2004/med-bay | ed039b1bf3b10fb1b5097567df28fb4575c95b18 | [
"MIT"
] | null | null | null | pharma/utils.py | RishiMenon2004/med-bay | ed039b1bf3b10fb1b5097567df28fb4575c95b18 | [
"MIT"
] | null | null | null | pharma/utils.py | RishiMenon2004/med-bay | ed039b1bf3b10fb1b5097567df28fb4575c95b18 | [
"MIT"
] | 1 | 2021-09-17T07:01:28.000Z | 2021-09-17T07:01:28.000Z | from .models import Bill, BillUnit
# Getting cart total
# Getting total for bill objects
# Generating bills
| 24.685714 | 70 | 0.643519 |
03a03bedee87cbb3ff98b4472ee9a56d99d7f812 | 7,070 | py | Python | myconnectome/rsfmri/mk_connectome_figures.py | poldrack/myconnectome | 201f414b3165894d6fe0be0677c8a58f6d161948 | [
"MIT"
] | 28 | 2015-04-02T16:43:14.000Z | 2020-06-17T20:04:26.000Z | myconnectome/rsfmri/mk_connectome_figures.py | poldrack/myconnectome | 201f414b3165894d6fe0be0677c8a58f6d161948 | [
"MIT"
] | 11 | 2015-05-19T02:57:22.000Z | 2017-03-17T17:36:16.000Z | myconnectome/rsfmri/mk_connectome_figures.py | poldrack/myconnectome | 201f414b3165894d6fe0be0677c8a58f6d161948 | [
"MIT"
] | 10 | 2015-05-21T17:01:26.000Z | 2020-11-11T04:28:08.000Z | # -*- coding: utf-8 -*-
"""
make images for connnectivity adjmtx
also compute within/between hemisphere stats
Created on Sun Jun 21 09:19:06 2015
@author: poldrack
"""
import os
import numpy
import nilearn.plotting
import scipy.stats
from myconnectome.utils.get_parcel_coords import get_parcel_coords
import matplotli... | 40.170455 | 123 | 0.698727 |
03a3b7e2b44fd96667892818b55fb97c799166f0 | 7,820 | py | Python | src/tools/python/shipment_report_3x.py | Justintime50/easypost-tools | b5118eec331cd9ec5502e617c73ead61fc322c94 | [
"MIT"
] | 1 | 2022-02-17T21:04:05.000Z | 2022-02-17T21:04:05.000Z | src/tools/python/shipment_report_3x.py | Justintime50/easypost-tools | b5118eec331cd9ec5502e617c73ead61fc322c94 | [
"MIT"
] | null | null | null | src/tools/python/shipment_report_3x.py | Justintime50/easypost-tools | b5118eec331cd9ec5502e617c73ead61fc322c94 | [
"MIT"
] | null | null | null | # Shipment Details Download script
# Outputs CSV text report for purchased production shipments
#
# Usage:
# python3 ShipmentReport_3x.py "optional API KEY" (if not using env vars)
#
# 0.2 Revised API key display 02 Jan 2020 joshua.biagio@easypost.com
# 0.1 Corrected handling of zero shipments returned 0... | 34.910714 | 118 | 0.592455 |
03a54ff191c236e664a934c1ff06719cccfcad11 | 44,640 | py | Python | backend/unpp_api/apps/project/views.py | unicef/un-partner-portal | 73afa193a5f6d626928cae0025c72a17f0ef8f61 | [
"Apache-2.0"
] | 6 | 2017-11-21T10:00:44.000Z | 2022-02-12T16:51:48.000Z | backend/unpp_api/apps/project/views.py | unicef/un-partner-portal | 73afa193a5f6d626928cae0025c72a17f0ef8f61 | [
"Apache-2.0"
] | 995 | 2017-07-31T02:08:36.000Z | 2022-03-08T22:44:03.000Z | backend/unpp_api/apps/project/views.py | unicef/un-partner-portal | 73afa193a5f6d626928cae0025c72a17f0ef8f61 | [
"Apache-2.0"
] | 1 | 2021-07-21T10:45:15.000Z | 2021-07-21T10:45:15.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from datetime import date
from django.db import transaction
from django.db.models import Q
from django.http import HttpResponse
from django.shortcuts import get_object_or_404
from django.utils import timezone
from rest_framework import status as statuses, ... | 37.014925 | 120 | 0.679256 |
03a7b879acb5698f0c96f69d7464741824b42f9a | 1,422 | py | Python | older versions/older_version_1d_calculator.py | vishalbelsare/KramersMoyal | 6047cd303a474cd0411abf90ef7c81ec53500625 | [
"MIT"
] | 32 | 2019-11-26T06:45:56.000Z | 2022-03-15T18:47:07.000Z | older versions/older_version_1d_calculator.py | NikVard/KramersMoyal | 57e50278b0d31567054f763f3e0f3cc2c1e08315 | [
"MIT"
] | 9 | 2019-09-11T15:27:47.000Z | 2021-03-22T14:44:43.000Z | older versions/older_version_1d_calculator.py | NikVard/KramersMoyal | 57e50278b0d31567054f763f3e0f3cc2c1e08315 | [
"MIT"
] | 9 | 2019-08-23T16:55:24.000Z | 2022-02-10T14:08:02.000Z | # coding: utf-8
#! /usr/bin/env python
# FrequencyJumpLibrary
import numpy as np
from scipy import stats
import math as math
| 32.318182 | 161 | 0.510549 |
03aa122f7d46f999001e9b311a609665d78ad637 | 527 | py | Python | snoop/data/management/commands/migratecollections.py | liquidinvestigations/hoover-snoop2 | 28e328401609f53fb56abaa4817619085aa3fbee | [
"MIT"
] | null | null | null | snoop/data/management/commands/migratecollections.py | liquidinvestigations/hoover-snoop2 | 28e328401609f53fb56abaa4817619085aa3fbee | [
"MIT"
] | 168 | 2019-11-07T12:38:07.000Z | 2021-04-19T09:53:51.000Z | snoop/data/management/commands/migratecollections.py | liquidinvestigations/hoover-snoop2 | 28e328401609f53fb56abaa4817619085aa3fbee | [
"MIT"
] | null | null | null | """Creates and migrates databases and indexes.
"""
from django.core.management.base import BaseCommand
from ... import collections
from ...logs import logging_for_management_command
| 27.736842 | 60 | 0.736243 |
03aa7413f879d796eb4888768a9fac1efb6019e3 | 10,816 | py | Python | pm.py | chandrabhan-singh-98/pmpy | 8a34c7766a049b68f6c74e1085822e6aa3732c1e | [
"MIT"
] | null | null | null | pm.py | chandrabhan-singh-98/pmpy | 8a34c7766a049b68f6c74e1085822e6aa3732c1e | [
"MIT"
] | null | null | null | pm.py | chandrabhan-singh-98/pmpy | 8a34c7766a049b68f6c74e1085822e6aa3732c1e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
------------------------------------------------------------------------
A re-write of my original pm shell script in python
pm is a script that is meant to act as a status tracker
for my projects. It will
use VCS integration to provide in-depth information on all projects.
Cheers.
... | 41.282443 | 116 | 0.530788 |
03acdee8d03255dcc11e51424c9d56a4f5a10599 | 251 | py | Python | epikjjh/baekjoon/17413.py | 15ers/Solve_Naively | 23ee4a3aedbedb65b9040594b8c9c6d9cff77090 | [
"MIT"
] | 3 | 2019-05-19T13:44:39.000Z | 2019-07-03T11:15:20.000Z | epikjjh/baekjoon/17413.py | 15ers/Solve_Naively | 23ee4a3aedbedb65b9040594b8c9c6d9cff77090 | [
"MIT"
] | 7 | 2019-05-06T02:37:26.000Z | 2019-06-29T07:28:02.000Z | epikjjh/baekjoon/17413.py | 15ers/Solve_Naively | 23ee4a3aedbedb65b9040594b8c9c6d9cff77090 | [
"MIT"
] | 1 | 2019-07-28T06:24:54.000Z | 2019-07-28T06:24:54.000Z | import re
stream = input()
p = re.compile("<?[^<>]+>?")
ans = ""
for elem in p.findall(stream):
if elem[0] == "<":
ans += elem
else:
for e in elem.split():
ans += e[::-1] + " "
ans = ans.rstrip()
print(ans) | 19.307692 | 32 | 0.450199 |
03ada8be65d6325b4e0a4f2d0137005593cfbd56 | 396 | py | Python | day_09/test_solution.py | anguswilliams91/advent-of-code-2022 | 00cc08900fe5e50f0bf5d657e9dfc0691eccac48 | [
"MIT"
] | null | null | null | day_09/test_solution.py | anguswilliams91/advent-of-code-2022 | 00cc08900fe5e50f0bf5d657e9dfc0691eccac48 | [
"MIT"
] | null | null | null | day_09/test_solution.py | anguswilliams91/advent-of-code-2022 | 00cc08900fe5e50f0bf5d657e9dfc0691eccac48 | [
"MIT"
] | null | null | null | """Tests for day 9."""
from day_09.solution import sum_of_low_points, product_of_biggest_basins
_EXAMPLE_INPUT = """2199943210
3987894921
9856789892
8767896789
9899965678
"""
| 19.8 | 72 | 0.813131 |
03b0e27edf370cce2d7d3b2ec53ff51621fdc4ee | 6,605 | py | Python | hubspot/crm/extensions/accounting/models/create_user_account_request_external.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | hubspot/crm/extensions/accounting/models/create_user_account_request_external.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | hubspot/crm/extensions/accounting/models/create_user_account_request_external.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Accounting Extension
These APIs allow you to interact with HubSpot's Accounting Extension. It allows you to: * Specify the URLs that HubSpot will use when making webhook requests to your external accounting system. * Respond to webhook calls made to your external accounting system by HubSp... | 33.025 | 290 | 0.614232 |
03b167654e95b104f240f4988e88ebf5e5a4f208 | 1,764 | py | Python | 03_spider_douyin/action_douyin.py | theThreeKingdom/python-exercises | fc08a7bbb9d6b53d5761b9e1017f293bff4e26db | [
"Apache-2.0"
] | null | null | null | 03_spider_douyin/action_douyin.py | theThreeKingdom/python-exercises | fc08a7bbb9d6b53d5761b9e1017f293bff4e26db | [
"Apache-2.0"
] | null | null | null | 03_spider_douyin/action_douyin.py | theThreeKingdom/python-exercises | fc08a7bbb9d6b53d5761b9e1017f293bff4e26db | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020/4/2 22:55
# @Author : Nixin
# @Email : nixin@foxmail.com
# @File : action_douyin.py
# @Software: PyCharm
from appium import webdriver
from time import sleep
import random
if __name__ == '__main__':
action = Action()
action.start()
pass
| 28 | 116 | 0.557823 |
03b31105b49366639294bcbe79b90c112f7393bb | 189 | py | Python | glitter_documents/apps.py | developersociety/django-glitter-documents | 8d13d6fc7133f7d6f595a4e780f291caf3ab4efa | [
"BSD-3-Clause"
] | null | null | null | glitter_documents/apps.py | developersociety/django-glitter-documents | 8d13d6fc7133f7d6f595a4e780f291caf3ab4efa | [
"BSD-3-Clause"
] | null | null | null | glitter_documents/apps.py | developersociety/django-glitter-documents | 8d13d6fc7133f7d6f595a4e780f291caf3ab4efa | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from django.apps import AppConfig
| 18.9 | 33 | 0.698413 |
03b414db96d625b3d6c44cb1055d545e44f688f9 | 1,332 | py | Python | my_web_project/authentication/forms.py | AlexYankoff/my_web_project | d7d2c26289c561bc39d713ad5a1adff7a01b6508 | [
"MIT"
] | null | null | null | my_web_project/authentication/forms.py | AlexYankoff/my_web_project | d7d2c26289c561bc39d713ad5a1adff7a01b6508 | [
"MIT"
] | null | null | null | my_web_project/authentication/forms.py | AlexYankoff/my_web_project | d7d2c26289c561bc39d713ad5a1adff7a01b6508 | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth import authenticate
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from my_web_project.common.forms import BootstrapFormMixin
from my_web_project.main.models import S... | 25.132075 | 74 | 0.686186 |
03b4819121dac16a6891e3a0fa802981205674c3 | 9,024 | py | Python | experiments_pu/compute_prediction.py | 6Ulm/unbalanced_gromov_wasserstein | be23571f653dab16fd0722cb1ec2c3412a1e3f30 | [
"MIT"
] | 22 | 2020-09-10T21:57:02.000Z | 2022-03-16T14:42:47.000Z | experiments_pu/compute_prediction.py | 6Ulm/unbalanced_gromov_wasserstein | be23571f653dab16fd0722cb1ec2c3412a1e3f30 | [
"MIT"
] | null | null | null | experiments_pu/compute_prediction.py | 6Ulm/unbalanced_gromov_wasserstein | be23571f653dab16fd0722cb1ec2c3412a1e3f30 | [
"MIT"
] | 8 | 2020-09-11T00:59:31.000Z | 2022-03-29T22:19:08.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 12 10:58:27 2020
Experiments where one marginal is fixed
"""
import os
import numpy as np
from joblib import Parallel, delayed
import torch
import ot
from unbalancedgw.batch_stable_ugw_solver import log_batch_ugw_sinkhorn
from unbalancedgw._batch_... | 37.757322 | 79 | 0.610372 |
03b7252c4a570f5045354d6d3a9bb828ebea09f4 | 3,340 | py | Python | source_code/ghc2018.py | nuno-chicoria/GHC_2018 | d3a19c4f6293dd24ca06d24fdde58da04800781b | [
"Unlicense"
] | null | null | null | source_code/ghc2018.py | nuno-chicoria/GHC_2018 | d3a19c4f6293dd24ca06d24fdde58da04800781b | [
"Unlicense"
] | null | null | null | source_code/ghc2018.py | nuno-chicoria/GHC_2018 | d3a19c4f6293dd24ca06d24fdde58da04800781b | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 1 18:44:04 2018
@author: JavaWizards
"""
import numpy as np
file = "/Users/nuno_chicoria/Downloads/b_should_be_easy.in"
handle = open(file)
R, C, F, N, B, T = handle.readline().split()
rides = []
index = []
for i in range(int(N)):
index.a... | 38.390805 | 208 | 0.498204 |
03b930ecffd229e67ed2320a14aa54a5dedfa069 | 2,296 | py | Python | python/cuml/dask/linear_model/base.py | Pandinosaurus/cuml | 47f8577ca0c1bc621cb67f77e0b8dbcbe68b360e | [
"Apache-2.0"
] | 1 | 2021-02-01T00:01:29.000Z | 2021-02-01T00:01:29.000Z | python/cuml/dask/linear_model/base.py | mseneshen/cuml | 1c561de84739c31659acde639f1c80aedce3147c | [
"Apache-2.0"
] | null | null | null | python/cuml/dask/linear_model/base.py | mseneshen/cuml | 1c561de84739c31659acde639f1c80aedce3147c | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020, NVIDIA CORPORATION.
#
# 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... | 32.8 | 77 | 0.651132 |
03bb66fae4fd3ed09ed811e675a254e039ae716a | 2,686 | py | Python | utils/plot_part_dat.py | jeremiedecock/botsim | 73262092a8769c331edb96e083e32156f33bf948 | [
"MIT"
] | 1 | 2015-06-08T13:01:24.000Z | 2015-06-08T13:01:24.000Z | utils/plot_part_dat.py | jeremiedecock/botsim | 73262092a8769c331edb96e083e32156f33bf948 | [
"MIT"
] | null | null | null | utils/plot_part_dat.py | jeremiedecock/botsim | 73262092a8769c331edb96e083e32156f33bf948 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) 2015 Jrmie DECOCK (jd.jdhp@gmail.com)
import numpy as np
import matplotlib.pyplot as plt
import math
import argparse
def main():
"""Main function"""
# PARSE OPTIONS ###################
parser = argparse.ArgumentParser(description='Plot on... | 29.195652 | 94 | 0.599032 |
03bbae28c2cd4fb58b49c704d23f872cee7681d3 | 3,505 | py | Python | t.py | cmsirbu/gencfg | 5f201208ca55bdd2ddd67974129465d95ebf4af4 | [
"MIT"
] | 5 | 2016-03-09T19:50:54.000Z | 2018-10-12T03:05:23.000Z | t.py | cmsirbu/gencfg | 5f201208ca55bdd2ddd67974129465d95ebf4af4 | [
"MIT"
] | null | null | null | t.py | cmsirbu/gencfg | 5f201208ca55bdd2ddd67974129465d95ebf4af4 | [
"MIT"
] | 2 | 2019-06-28T10:34:52.000Z | 2019-09-16T23:56:49.000Z | #!/usr/bin/env python
"""A script that helps generate router configuration from templates.
"""
import os
import sys
import argparse
import csv
import jinja2
from jinja2 import meta
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))
| 38.097826 | 103 | 0.681598 |
03bc9a5f0a747abf5d82393e3bb16961bae673ea | 2,607 | py | Python | examples/perf/rnn/simple_rnn.py | yuhonghong66/minpy | 2e44927ad0fbff9295e2acf6db636e588fdc5b42 | [
"Apache-2.0"
] | 1,271 | 2015-11-05T10:53:40.000Z | 2022-02-20T08:33:35.000Z | examples/perf/rnn/simple_rnn.py | yuhonghong66/minpy | 2e44927ad0fbff9295e2acf6db636e588fdc5b42 | [
"Apache-2.0"
] | 140 | 2016-04-07T02:55:19.000Z | 2019-08-02T06:01:53.000Z | examples/perf/rnn/simple_rnn.py | yuhonghong66/minpy | 2e44927ad0fbff9295e2acf6db636e588fdc5b42 | [
"Apache-2.0"
] | 144 | 2015-11-05T10:53:45.000Z | 2022-03-25T05:38:09.000Z | import sys
sys.path.insert(0, "../../python/")
import mxnet as mx
import numpy as np
from collections import namedtuple
import time
import math
RNNState = namedtuple("RNNState", ["h"])
RNNParam = namedtuple("RNNParam", ["i2h_weight", "i2h_bias",
"h2h_weight", "h2h_bias"])
RNNModel = ... | 41.380952 | 99 | 0.557729 |
03bce3dec0a0cfe68389b401fddaa0824f69003d | 366 | py | Python | Python/bench_2_1.py | nifty-swift/Nifty-benchmarks | 025128d6276a5dec0c89d1e464131c4e4dc22292 | [
"Apache-2.0"
] | 1 | 2018-03-28T05:51:21.000Z | 2018-03-28T05:51:21.000Z | Python/bench_2_1.py | nifty-swift/Nifty-benchmarks | 025128d6276a5dec0c89d1e464131c4e4dc22292 | [
"Apache-2.0"
] | null | null | null | Python/bench_2_1.py | nifty-swift/Nifty-benchmarks | 025128d6276a5dec0c89d1e464131c4e4dc22292 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from time import time | 19.263158 | 94 | 0.601093 |
03bd899281282039d2ef001ae52730a3c07b4cad | 685 | py | Python | utils/globals.py | Pawel095/RaidenPy | 0981a4921012f1951510a14f588645803c07010a | [
"Apache-2.0"
] | null | null | null | utils/globals.py | Pawel095/RaidenPy | 0981a4921012f1951510a14f588645803c07010a | [
"Apache-2.0"
] | null | null | null | utils/globals.py | Pawel095/RaidenPy | 0981a4921012f1951510a14f588645803c07010a | [
"Apache-2.0"
] | null | null | null | import arcade
from utils.loader import Loader
TITLE = "Raiden Py"
WINDOW = None
WIDTH = 600
HEIGHT = 600
SCREEN_WIDTH = WIDTH
SCREEN_HEIGHT = HEIGHT
bullets = []
enemies = []
l = Loader()
print("load Start")
l.load()
print("load End")
enemyBullets = arcade.SpriteList()
playerBullets = arcade.SpriteList()
enemies... | 15.568182 | 35 | 0.675912 |
03bdc7816fc5e2a7235f327d0fd6fc22c8a483aa | 686 | py | Python | tryme.py | haamis/Turku-neural-parser-pipeline | 7aec4aef910c7deb2590453031bff2affe61ff26 | [
"Apache-2.0"
] | 94 | 2018-08-19T11:08:33.000Z | 2022-03-15T14:37:27.000Z | tryme.py | haamis/Turku-neural-parser-pipeline | 7aec4aef910c7deb2590453031bff2affe61ff26 | [
"Apache-2.0"
] | 31 | 2018-08-09T09:31:38.000Z | 2022-02-21T14:33:56.000Z | tryme.py | haamis/Turku-neural-parser-pipeline | 7aec4aef910c7deb2590453031bff2affe61ff26 | [
"Apache-2.0"
] | 31 | 2018-09-04T18:44:54.000Z | 2021-10-20T09:54:16.000Z | from tnparser.pipeline import read_pipelines, Pipeline
text1="I have a dog! Let's see what I can do with Silo.ai. :) Can I tokenize it? I think so! Heading: This is the heading And here continues a new sentence and there's no dot."
text2="Some other text, to see we can tokenize more stuff without reloading the model..... | 45.733333 | 176 | 0.690962 |
03be6746a1113ef106ddc989e296ffe5f60e66cf | 3,034 | py | Python | scripts/mkuidefaults.py | dyna-mis/Hilabeling | cb7d5d4be29624a20c8a367162dbc6fd779b2b52 | [
"MIT"
] | null | null | null | scripts/mkuidefaults.py | dyna-mis/Hilabeling | cb7d5d4be29624a20c8a367162dbc6fd779b2b52 | [
"MIT"
] | null | null | null | scripts/mkuidefaults.py | dyna-mis/Hilabeling | cb7d5d4be29624a20c8a367162dbc6fd779b2b52 | [
"MIT"
] | 1 | 2021-12-25T08:40:30.000Z | 2021-12-25T08:40:30.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
***************************************************************************
mkuidefaults.py
---------------------
Date : June 2013
Copyright : (C) 2013 by Juergen E. Fischer
Email : jef at norbit dot de
***... | 33.340659 | 77 | 0.51648 |
03bebfed119097ef096738e58538d61c95362c67 | 31,667 | py | Python | fake_spectra/rate_network.py | xiaohanzai/fake_spectra | 170b42ac7732eb4f299617a1049cd3eabecfa3a7 | [
"MIT"
] | null | null | null | fake_spectra/rate_network.py | xiaohanzai/fake_spectra | 170b42ac7732eb4f299617a1049cd3eabecfa3a7 | [
"MIT"
] | null | null | null | fake_spectra/rate_network.py | xiaohanzai/fake_spectra | 170b42ac7732eb4f299617a1049cd3eabecfa3a7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""A rate network for neutral hydrogen following
Katz, Weinberg & Hernquist 1996, eq. 28-32."""
import os.path
import math
import numpy as np
import scipy.interpolate as interp
import scipy.optimize
| 49.94795 | 188 | 0.639688 |
03c09547958d70bb46801b4ba91b9730dc032295 | 1,949 | py | Python | adjuftments/utils/splitwise_auth_tool/splitwise_credentials.py | juftin/adjuftments | 0833923053db5090cd5aac6dd035f4058a81800f | [
"MIT"
] | null | null | null | adjuftments/utils/splitwise_auth_tool/splitwise_credentials.py | juftin/adjuftments | 0833923053db5090cd5aac6dd035f4058a81800f | [
"MIT"
] | null | null | null | adjuftments/utils/splitwise_auth_tool/splitwise_credentials.py | juftin/adjuftments | 0833923053db5090cd5aac6dd035f4058a81800f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Author:: Justin Flannery (mailto:juftin@juftin.com)
"""
Simple Flask Server to Expose Credentials
"""
from flask import Flask, jsonify, redirect, render_template, request, session, url_for
from splitwise import Splitwise
from adjuftments.config import SplitwiseConfig
app = Flask(__name... | 33.603448 | 98 | 0.710621 |
03c53fb902449f1a9cbebfac139cb7b318479b1e | 250 | py | Python | kobert_transformers/utils.py | LoveMeWithoutAll/KoBERT-Transformers | 5e30015ae1101b57758fbe10a4e2502bc530acc1 | [
"Apache-2.0"
] | null | null | null | kobert_transformers/utils.py | LoveMeWithoutAll/KoBERT-Transformers | 5e30015ae1101b57758fbe10a4e2502bc530acc1 | [
"Apache-2.0"
] | null | null | null | kobert_transformers/utils.py | LoveMeWithoutAll/KoBERT-Transformers | 5e30015ae1101b57758fbe10a4e2502bc530acc1 | [
"Apache-2.0"
] | null | null | null | from .tokenization_kobert import KoBertTokenizer
| 27.777778 | 65 | 0.768 |
03c611fb4f50a42c6f79fa67871d099851e47dda | 107 | py | Python | testtakepicture.py | 1082sqnatc/missionspacelab2019 | 439753c8e309ece98963f58c9bb443217e75364e | [
"Apache-2.0"
] | null | null | null | testtakepicture.py | 1082sqnatc/missionspacelab2019 | 439753c8e309ece98963f58c9bb443217e75364e | [
"Apache-2.0"
] | 12 | 2019-12-01T15:52:08.000Z | 2020-02-02T13:52:36.000Z | testtakepicture.py | 1082sqnatc/missionspacelab2019 | 439753c8e309ece98963f58c9bb443217e75364e | [
"Apache-2.0"
] | null | null | null | from src.takepicture import takePicture
x=1
while x < 10:
takePicture(x)
print("success")
x=x+1 | 17.833333 | 39 | 0.672897 |
03c68b9524f9bd7a43776576e52572665d646a5b | 1,864 | py | Python | dcracer/config.py | wallarug/dcracer | e959f7eff30fcec426d97b5dbf4ff0aa4d57bf6d | [
"MIT"
] | null | null | null | dcracer/config.py | wallarug/dcracer | e959f7eff30fcec426d97b5dbf4ff0aa4d57bf6d | [
"MIT"
] | 1 | 2021-07-13T13:09:51.000Z | 2021-07-13T13:09:51.000Z | dcracer/config.py | wallarug/dcracer | e959f7eff30fcec426d97b5dbf4ff0aa4d57bf6d | [
"MIT"
] | null | null | null | '''
# Config
'''
import cv2
import numpy as np
import platform
import time
import sys
##
## Open CV Variables
##
# show the debug output for the open cv
DEMO_MODE = True
# set some variables for testing output
FONT = cv2.FONT_HERSHEY_SIMPLEX
# Min and Max Area Sizes
AREA_SIZE_STOP = 30
AREA_SIZE_TURN = 35
AREA_SIZ... | 24.853333 | 112 | 0.721567 |
03c6a4780081ba46e0720aa30e18a9c4fde3152f | 1,596 | py | Python | escola/tests/selenium_test_case.py | vini84200/medusa2 | 37cf33d05be8b0195b10845061ca893ba5e814dd | [
"MIT"
] | 1 | 2019-03-15T18:04:24.000Z | 2019-03-15T18:04:24.000Z | escola/tests/selenium_test_case.py | vini84200/medusa2 | 37cf33d05be8b0195b10845061ca893ba5e814dd | [
"MIT"
] | 22 | 2019-03-17T21:53:50.000Z | 2021-03-31T19:12:19.000Z | escola/tests/selenium_test_case.py | vini84200/medusa2 | 37cf33d05be8b0195b10845061ca893ba5e814dd | [
"MIT"
] | 1 | 2018-11-25T03:05:23.000Z | 2018-11-25T03:05:23.000Z | # Developed by Vinicius Jos Fritzen
# Last Modified 13/04/19 16:04.
# Copyright (c) 2019 Vinicius Jos Fritzen and Albert Angel Lanzarini
import pytest
from decouple import config
from django.contrib.auth.models import User
from django.test import LiveServerTestCase, TestCase
from selenium import webdriver
from sele... | 33.957447 | 96 | 0.714286 |
03c7a7b3db0ab25294b2db4724ac425e52e65c90 | 3,628 | py | Python | tests/general.py | tkhyn/djangorecipebook | 2cbb3d46631630e2c7a3c511b504de2088aac115 | [
"MIT"
] | null | null | null | tests/general.py | tkhyn/djangorecipebook | 2cbb3d46631630e2c7a3c511b504de2088aac115 | [
"MIT"
] | null | null | null | tests/general.py | tkhyn/djangorecipebook | 2cbb3d46631630e2c7a3c511b504de2088aac115 | [
"MIT"
] | null | null | null | """
General tests that concern all recipes
"""
import os
import sys
from ._base import mock, RecipeTests, test_project
# we use the very simple manage.Recipe to test BaseRecipe functionalities
from djangorecipebook.recipes import manage
| 43.190476 | 79 | 0.620176 |
03c7dfec4bf01608ff9510185092140717400a2f | 170 | py | Python | zinc/utils/validation.py | PressLabs/zinc | 9e1dc852f31f9897e7759962cf0f3e6d42fbe637 | [
"Apache-2.0"
] | 29 | 2017-06-29T15:03:49.000Z | 2018-01-30T14:07:26.000Z | zinc/utils/validation.py | presslabs/zinc | 94146e5203fc93ee0e8bb011a4db0ffcd4b0096e | [
"Apache-2.0"
] | 9 | 2019-01-11T09:07:17.000Z | 2022-02-03T12:50:21.000Z | zinc/utils/validation.py | PressLabs/zinc | 9e1dc852f31f9897e7759962cf0f3e6d42fbe637 | [
"Apache-2.0"
] | 1 | 2020-08-09T18:17:25.000Z | 2020-08-09T18:17:25.000Z | import ipaddress
| 17 | 39 | 0.676471 |
03c990c91654998615108574d5737dfafe7b57a4 | 4,167 | py | Python | tests/config/evaluation.py | realtwister/LearnedEvolution | 2ec49b50a49acae9693cfb05ac114dfbcc4aa337 | [
"MIT"
] | null | null | null | tests/config/evaluation.py | realtwister/LearnedEvolution | 2ec49b50a49acae9693cfb05ac114dfbcc4aa337 | [
"MIT"
] | null | null | null | tests/config/evaluation.py | realtwister/LearnedEvolution | 2ec49b50a49acae9693cfb05ac114dfbcc4aa337 | [
"MIT"
] | null | null | null | import numpy as np
from collections import namedtuple
Population = namedtuple("Population", ['mean_fitness','mean', 'covariance'])
config = dict(
dimension = 2,
population_size = 100,
algorithm = dict(
mean_function =dict(
type = "RLMean"
),
covariance_function = dict(... | 27.78 | 95 | 0.593713 |