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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20edfabbb18d57e5b8c63c2383e738c3f3549841 | 27,895 | py | Python | LinearRegression-GradientDescent/GradientDescent.py | saurabbhsp/machineLearning | e468854b57c8de6e80bc397bde6f1c71ee50d495 | [
"Apache-2.0"
] | 3 | 2017-12-01T16:57:03.000Z | 2021-01-08T08:30:12.000Z | LinearRegression-GradientDescent/GradientDescent.py | saurabbhsp/machineLearning | e468854b57c8de6e80bc397bde6f1c71ee50d495 | [
"Apache-2.0"
] | null | null | null | LinearRegression-GradientDescent/GradientDescent.py | saurabbhsp/machineLearning | e468854b57c8de6e80bc397bde6f1c71ee50d495 | [
"Apache-2.0"
] | 6 | 2019-07-05T12:27:36.000Z | 2022-01-25T11:52:21.000Z |
# coding: utf-8
# In[1]:
get_ipython().run_cell_magic('javascript', '', '<!-- Ignore this block -->\nIPython.OutputArea.prototype._should_scroll = function(lines) {\n return false;\n}')
# # Data preprocessing
# 1. convert any non-numeric values to numeric values.
# 2. If required drop out the rows with missi... | 29.834225 | 307 | 0.650511 |
20ee1c58d70a8362de03cea2a5994ea2c4f42549 | 626 | py | Python | src/pagure/validators.py | yifengyou/learn-pagure | e54ba955368918c92ad2be6347b53bb2c24a228c | [
"Unlicense"
] | null | null | null | src/pagure/validators.py | yifengyou/learn-pagure | e54ba955368918c92ad2be6347b53bb2c24a228c | [
"Unlicense"
] | null | null | null | src/pagure/validators.py | yifengyou/learn-pagure | e54ba955368918c92ad2be6347b53bb2c24a228c | [
"Unlicense"
] | null | null | null | import re
import six
from wtforms import validators
| 28.454545 | 72 | 0.591054 |
20ef0d8c7ddd5cae1764648c947491c9f4c7cb34 | 10,524 | py | Python | code/vendor/node_js2c.py | thorium-cfx/fivem | 587eb7c12066a2ebf8631bde7bb39ee2df1b5a0c | [
"MIT"
] | 5,411 | 2017-04-14T08:57:56.000Z | 2022-03-30T19:35:15.000Z | code/vendor/node_js2c.py | thorium-cfx/fivem | 587eb7c12066a2ebf8631bde7bb39ee2df1b5a0c | [
"MIT"
] | 802 | 2017-04-21T14:18:36.000Z | 2022-03-31T21:20:48.000Z | code/vendor/node_js2c.py | thorium-cfx/fivem | 587eb7c12066a2ebf8631bde7bb39ee2df1b5a0c | [
"MIT"
] | 2,011 | 2017-04-14T09:44:15.000Z | 2022-03-31T15:40:39.000Z | import os
import subprocess
import sys
inputs = [
'lib/assert/strict.js',
'lib/assert.js',
'lib/async_hooks.js',
'lib/buffer.js',
'lib/child_process.js',
'lib/cluster.js',
'lib/console.js',
'lib/constants.js',
'lib/crypto.js',
'lib/dgram.js',
'lib/diagnostics_channel.js',
'lib/dns/promises.js', ... | 32.481481 | 155 | 0.711612 |
45465c3ae216f2ba2ed2de99dd3ca07f116d36fd | 1,982 | py | Python | docs/util.py | simplebutneeded/python-measurement | b14f954fc74424ed3b1c9780e089cd91c19be45c | [
"MIT"
] | null | null | null | docs/util.py | simplebutneeded/python-measurement | b14f954fc74424ed3b1c9780e089cd91c19be45c | [
"MIT"
] | null | null | null | docs/util.py | simplebutneeded/python-measurement | b14f954fc74424ed3b1c9780e089cd91c19be45c | [
"MIT"
] | 2 | 2016-09-15T18:36:33.000Z | 2019-07-17T17:39:23.000Z | from __future__ import print_function
from measurement.base import MeasureBase, BidimensionalMeasure
from measurement.utils import get_all_measures
for measure in get_all_measures():
classname = measure.__name__
print(classname)
print('-' * len(classname))
print()
if issubclass(measure, MeasureBas... | 36.703704 | 78 | 0.55449 |
45472a59e3945cb5ab443cb81e44f1ea2ad25391 | 3,006 | py | Python | gibson2/core/render/mesh_renderer/mesh_renderer_tensor.py | myalfred03/GibsonEnvV2 | 9dfc340d85e167983df7abfd7425d4ba78ab8524 | [
"MIT"
] | null | null | null | gibson2/core/render/mesh_renderer/mesh_renderer_tensor.py | myalfred03/GibsonEnvV2 | 9dfc340d85e167983df7abfd7425d4ba78ab8524 | [
"MIT"
] | null | null | null | gibson2/core/render/mesh_renderer/mesh_renderer_tensor.py | myalfred03/GibsonEnvV2 | 9dfc340d85e167983df7abfd7425d4ba78ab8524 | [
"MIT"
] | null | null | null | import cv2
import sys
import numpy as np
from gibson2.core.render.mesh_renderer.mesh_renderer_cpu import MeshRenderer, GL
import torch
from gibson2.core.render.mesh_renderer.get_available_devices import get_cuda_device | 47.714286 | 120 | 0.625083 |
4547e6bcdb29f652198235c9fc8271e10d92d051 | 117 | py | Python | BasicConcepts/SyntaxErrors/Volume1_Chapter6_SyntaxErrors_Fixed.py | jpike/PythonProgrammingForKids | 79a36d6db525d39f78e33b6f7b2d0da0d65a073c | [
"Unlicense"
] | null | null | null | BasicConcepts/SyntaxErrors/Volume1_Chapter6_SyntaxErrors_Fixed.py | jpike/PythonProgrammingForKids | 79a36d6db525d39f78e33b6f7b2d0da0d65a073c | [
"Unlicense"
] | null | null | null | BasicConcepts/SyntaxErrors/Volume1_Chapter6_SyntaxErrors_Fixed.py | jpike/PythonProgrammingForKids | 79a36d6db525d39f78e33b6f7b2d0da0d65a073c | [
"Unlicense"
] | null | null | null | # Commenting syntax errors.
print("Printing out a message!") # This is a comment.
floating_point_number = 1.5 * 2.7
| 29.25 | 54 | 0.726496 |
454862ed0335535e0622f4cd4d4b3040600274f8 | 254 | py | Python | setup.py | piotrmaslanka/python-cassandra-jaeger | 961a33955e54a84348d97a5e0b0985a3850ee1ad | [
"MIT"
] | null | null | null | setup.py | piotrmaslanka/python-cassandra-jaeger | 961a33955e54a84348d97a5e0b0985a3850ee1ad | [
"MIT"
] | null | null | null | setup.py | piotrmaslanka/python-cassandra-jaeger | 961a33955e54a84348d97a5e0b0985a3850ee1ad | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from distutils.core import setup
from setuptools import find_packages
import python_cassandra_jaeger
setup(version=python_cassandra_jaeger.__version__,
packages=find_packages(include=['python_cassandra_jaeger']),
)
| 19.538462 | 66 | 0.795276 |
4549bd855bffd1eea443aa41d7d9077471e5b107 | 6,544 | py | Python | demultiplexer/demultiplexing.py | DominikBuchner/demultiplexer | f707bf4deaff9929a5778a5a4501966e8fd5a0b8 | [
"MIT"
] | null | null | null | demultiplexer/demultiplexing.py | DominikBuchner/demultiplexer | f707bf4deaff9929a5778a5a4501966e8fd5a0b8 | [
"MIT"
] | 1 | 2021-01-05T14:28:26.000Z | 2021-01-05T14:28:26.000Z | demultiplexer/demultiplexing.py | DominikBuchner/demultiplexer | f707bf4deaff9929a5778a5a4501966e8fd5a0b8 | [
"MIT"
] | null | null | null | import openpyxl, gzip, datetime, psutil, time
from Bio.Data.IUPACData import ambiguous_dna_values
from itertools import product
from Bio.SeqIO.QualityIO import FastqGeneralIterator
from pathlib import Path
from joblib import Parallel, delayed
def extend_ambiguous_dna(seq):
"""return list of all possible sequences g... | 49.203008 | 218 | 0.687347 |
454e58f16798ed0377b73359904d93ec690b6f7f | 1,908 | py | Python | test.py | rapidrabbit76/PaintsTensorFlow | a26de880dc43c915f3552b58e01a4314847fd58a | [
"MIT"
] | 63 | 2019-01-03T02:00:33.000Z | 2022-03-23T03:56:24.000Z | test.py | rapidrabbit76/PaintsTensorFlow | a26de880dc43c915f3552b58e01a4314847fd58a | [
"MIT"
] | 24 | 2019-02-13T09:04:19.000Z | 2022-03-26T16:57:07.000Z | test.py | rapidrabbit76/PaintsTensorFlow | a26de880dc43c915f3552b58e01a4314847fd58a | [
"MIT"
] | 10 | 2019-01-14T13:11:52.000Z | 2021-07-07T13:17:59.000Z | import tensorflow as tf
import numpy as np
import cv2
from dataset.Datasets import Datasets_512
import utils
__DRAFT_MODEL_PATH__ = "./GUI/src/saved_model/PaintsTensorFlowDraftModel"
__MODEL_PATH__ = "./GUI//src/saved_model/PaintsTensorFlowModel"
if __name__ == '__main__':
test = PaintsTensorflowTest()
test... | 34.071429 | 92 | 0.645178 |
454f908f7e41a06c5a4c9549749b050cd2e1d924 | 8,027 | py | Python | ipython/attachments/Weave/iterators_example.py | cassiasamp/scipy-cookbook | 67c120be33302554edfd7fe7962f3e2773109021 | [
"BSD-3-Clause"
] | 408 | 2016-05-26T04:17:59.000Z | 2022-03-18T09:19:59.000Z | ipython/attachments/Weave/iterators_example.py | cassiasamp/scipy-cookbook | 67c120be33302554edfd7fe7962f3e2773109021 | [
"BSD-3-Clause"
] | 25 | 2016-08-28T22:20:53.000Z | 2021-11-08T16:37:00.000Z | ipython/attachments/Weave/iterators_example.py | cassiasamp/scipy-cookbook | 67c120be33302554edfd7fe7962f3e2773109021 | [
"BSD-3-Clause"
] | 185 | 2016-06-05T03:27:49.000Z | 2022-01-28T21:14:02.000Z | #!/usr/bin/env python
import sys
import numpy as npy
import pylab as P
from scipy.weave import inline, converters, blitz
from scipy.testing import measure
# Blitz conversion is terrific, but sometimes you don't have fixed array sizes
# in your problem. Fortunately numpy iterators still make writing inline
# weave code ... | 38.22381 | 109 | 0.628005 |
4550a583d75dd1b434a2910f8dcc72c96ed5f8f1 | 16,579 | py | Python | object_detection2/data/transforms/autoaugment.py | vghost2008/wml | d0c5a1da6c228e321ae59a563e9ac84aa66266ff | [
"MIT"
] | 6 | 2019-12-10T17:18:56.000Z | 2022-03-01T01:00:35.000Z | object_detection2/data/transforms/autoaugment.py | vghost2008/wml | d0c5a1da6c228e321ae59a563e9ac84aa66266ff | [
"MIT"
] | 2 | 2021-08-25T16:16:01.000Z | 2022-02-10T05:21:19.000Z | object_detection2/data/transforms/autoaugment.py | vghost2008/wml | d0c5a1da6c228e321ae59a563e9ac84aa66266ff | [
"MIT"
] | 2 | 2019-12-07T09:57:35.000Z | 2021-09-06T04:58:10.000Z | #coding=utf-8
import tensorflow as tf
import tfop
contrib_image = tf.contrib.image
def blend(image1, image2, factor):
"""Blend image1 and image2 using 'factor'.
Factor can be above 0.0. A value of 0.0 means only image1 is used.
A value of 1.0 means only image2 is used. A value between 0.0 and
1.0 means we ... | 36.598234 | 89 | 0.690633 |
4552fee979b85fce4dbf6d9c63c69fdf894b4a54 | 1,693 | py | Python | selco/selco/doctype/cash_payment_entry/cash_payment_entry.py | codingCoffee/selco_v2 | 276b62ac3f904bdc3b4ddf92882fd0bb318c5a35 | [
"MIT"
] | null | null | null | selco/selco/doctype/cash_payment_entry/cash_payment_entry.py | codingCoffee/selco_v2 | 276b62ac3f904bdc3b4ddf92882fd0bb318c5a35 | [
"MIT"
] | 111 | 2018-04-26T13:14:09.000Z | 2018-08-04T05:54:48.000Z | selco/selco/doctype/cash_payment_entry/cash_payment_entry.py | codingCoffee/selco_v2 | 276b62ac3f904bdc3b4ddf92882fd0bb318c5a35 | [
"MIT"
] | 5 | 2018-02-08T13:34:03.000Z | 2021-07-20T10:03:06.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2017, SELCO and contributors
# For license information, please see license.txt
# -*- coding: utf-8 -*-
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
fr... | 38.477273 | 111 | 0.642056 |
45559cb2010dc718a647583ca7727ca07bebe64f | 2,494 | py | Python | feedback-Python/models.py | gforghieri/code-demo | 7e4faf9d1411d073af360c78387db3f58ea45cf1 | [
"MIT"
] | null | null | null | feedback-Python/models.py | gforghieri/code-demo | 7e4faf9d1411d073af360c78387db3f58ea45cf1 | [
"MIT"
] | null | null | null | feedback-Python/models.py | gforghieri/code-demo | 7e4faf9d1411d073af360c78387db3f58ea45cf1 | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
| 36.676471 | 105 | 0.716119 |
455976b188c8965e37899317a939f416893472f4 | 727 | py | Python | jupyterhub_client/tests/test_async.py | minrk/jupyterhub-client | 99b856e81925690d5546fd8457a6e333fb709513 | [
"BSD-2-Clause"
] | 2 | 2017-04-06T20:28:31.000Z | 2020-03-20T06:51:21.000Z | jupyterhub_client/tests/test_async.py | minrk/jupyterhub-client | 99b856e81925690d5546fd8457a6e333fb709513 | [
"BSD-2-Clause"
] | 2 | 2017-04-10T09:30:20.000Z | 2018-11-22T16:30:03.000Z | jupyterhub_client/tests/test_async.py | minrk/jupyterhub-client | 99b856e81925690d5546fd8457a6e333fb709513 | [
"BSD-2-Clause"
] | 8 | 2017-04-06T20:28:38.000Z | 2021-04-01T13:39:13.000Z | from pytest import fixture
from tornado import gen
from tornado.ioloop import IOLoop
from .conftest import TOKEN
from ..async import AsyncJupyterHubClient
| 24.233333 | 78 | 0.696011 |
4559e964e50001ba3247b35781b62b682a586366 | 2,247 | py | Python | app/ml.py | JeffreyAsuncion/fastapi_test | 384a4bbb5fd283f55f34cd036905d9fb8d3314ab | [
"MIT"
] | null | null | null | app/ml.py | JeffreyAsuncion/fastapi_test | 384a4bbb5fd283f55f34cd036905d9fb8d3314ab | [
"MIT"
] | null | null | null | app/ml.py | JeffreyAsuncion/fastapi_test | 384a4bbb5fd283f55f34cd036905d9fb8d3314ab | [
"MIT"
] | null | null | null | """Machine learning functions"""
from fastapi import APIRouter
from sklearn.neighbors import NearestNeighbors
import pandas as pd
from joblib import load
import pickle
from app.city_state_json import city_state_2_id_num
router = APIRouter()
# filename = 'app/recommend/recommendation_model.sav'
# model_file = open(f... | 29.565789 | 82 | 0.581219 |
455a32504d4c9286e9e3a194024362339d3c0c0a | 2,431 | py | Python | worker/server.py | OmarZOS/remote-extraction-proxy-and-worker | 739466a0df588d7eb5b1dae9666ceb8c7a25e928 | [
"MIT"
] | null | null | null | worker/server.py | OmarZOS/remote-extraction-proxy-and-worker | 739466a0df588d7eb5b1dae9666ceb8c7a25e928 | [
"MIT"
] | 10 | 2022-03-17T23:23:18.000Z | 2022-03-18T00:15:11.000Z | worker/server.py | OmarZOS/remote-extraction-proxy-and-worker | 739466a0df588d7eb5b1dae9666ceb8c7a25e928 | [
"MIT"
] | 1 | 2022-03-24T23:56:46.000Z | 2022-03-24T23:56:46.000Z | import json
from xmlrpc.server import SimpleXMLRPCServer
from xmlrpc.server import SimpleXMLRPCRequestHandler
from multiprocessing import Process
import xmlrpc.client
from locator import locator
from constants import *
from functions import *
import os
import constants
current_tasks = [{"id":1}]
print("Serving somew... | 34.239437 | 88 | 0.712875 |
455a510ca3f33288b1e82aa99f9b204ab68b6807 | 3,972 | py | Python | get_player.py | jason-sa/baseball_lin_regression | 936535693f00b28d17b2b901144dcba8bce45ab9 | [
"MIT"
] | null | null | null | get_player.py | jason-sa/baseball_lin_regression | 936535693f00b28d17b2b901144dcba8bce45ab9 | [
"MIT"
] | null | null | null | get_player.py | jason-sa/baseball_lin_regression | 936535693f00b28d17b2b901144dcba8bce45ab9 | [
"MIT"
] | null | null | null | '''
Script to loop through all baseballrefernce.com pages and store the HTML in data frames
'''
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import TimeoutException
import requests
imp... | 34.241379 | 117 | 0.659366 |
455a83cc696af95c9057d25a2138c7ac1f9ece53 | 1,621 | py | Python | src/puzzle_1_you_will_all_conform/site/line-exercise1.py | foryourselfand/mit_6_S095_programming_for_the_puzzled | 88371bd8461709011acbed6066ac4f40c5cde29e | [
"MIT"
] | null | null | null | src/puzzle_1_you_will_all_conform/site/line-exercise1.py | foryourselfand/mit_6_S095_programming_for_the_puzzled | 88371bd8461709011acbed6066ac4f40c5cde29e | [
"MIT"
] | null | null | null | src/puzzle_1_you_will_all_conform/site/line-exercise1.py | foryourselfand/mit_6_S095_programming_for_the_puzzled | 88371bd8461709011acbed6066ac4f40c5cde29e | [
"MIT"
] | null | null | null | # Programming for the Puzzled -- Srini Devadas
# You Will All Conform
# Input is a vector of F's and B's, in terms of forwards and backwards caps
# Output is a set of commands (printed out) to get either all F's or all B's
# Fewest commands are the goal
caps = ['F', 'F', 'B', 'B', 'B', 'F', 'B', 'B', 'B', 'F', 'F', 'B... | 30.018519 | 86 | 0.526218 |
455b9271ec975980f2d05b9d2d018c5d0532f369 | 515 | py | Python | python3/python-tk/tk_busybar_demo.py | cgoldberg/corey-projects | 5e6ca9fd02f00a8e44692eed68234a12cf2d5bca | [
"WTFPL"
] | null | null | null | python3/python-tk/tk_busybar_demo.py | cgoldberg/corey-projects | 5e6ca9fd02f00a8e44692eed68234a12cf2d5bca | [
"WTFPL"
] | null | null | null | python3/python-tk/tk_busybar_demo.py | cgoldberg/corey-projects | 5e6ca9fd02f00a8e44692eed68234a12cf2d5bca | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python
# Python 3
# Corey Goldberg - 2009
import tkinter
from tkinter import ttk
import BusyBar
if __name__ == '__main__':
root = tkinter.Tk()
Application(root)
root.mainloop() | 20.6 | 59 | 0.582524 |
455c8ff0c603475739ee650d803fb990973e2d71 | 115 | py | Python | abc110_c.py | hythof/atc | 12cb94ebe693e1f469ce0d982bc2924b586552cd | [
"CC0-1.0"
] | null | null | null | abc110_c.py | hythof/atc | 12cb94ebe693e1f469ce0d982bc2924b586552cd | [
"CC0-1.0"
] | null | null | null | abc110_c.py | hythof/atc | 12cb94ebe693e1f469ce0d982bc2924b586552cd | [
"CC0-1.0"
] | null | null | null | s=input()
t=input()
ss=sorted(map(s.count,set(s)))
tt=sorted(map(t.count,set(t)))
print('Yes' if ss==tt else 'No')
| 19.166667 | 32 | 0.643478 |
455c9467c943ec1ae7bba780b8f13a898da0c074 | 1,547 | py | Python | app/schema/item.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | null | null | null | app/schema/item.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | 8 | 2020-03-24T15:24:18.000Z | 2022-03-02T04:32:56.000Z | app/schema/item.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
from app.questionnaire_state.exceptions import StateException
| 32.914894 | 106 | 0.630252 |
455d83d3700365dc3ad6599f1d91ada671e96df4 | 378 | py | Python | scripts/get_alignments.py | kant/transition-amr-parser | b450b8cf0ddb7cc475f70d0bf46d80ab186a2f7d | [
"Apache-2.0"
] | 1 | 2021-07-08T08:24:21.000Z | 2021-07-08T08:24:21.000Z | scripts/get_alignments.py | kant/transition-amr-parser | b450b8cf0ddb7cc475f70d0bf46d80ab186a2f7d | [
"Apache-2.0"
] | null | null | null | scripts/get_alignments.py | kant/transition-amr-parser | b450b8cf0ddb7cc475f70d0bf46d80ab186a2f7d | [
"Apache-2.0"
] | 1 | 2020-07-30T10:12:33.000Z | 2020-07-30T10:12:33.000Z | import sys
from amr import JAMR_CorpusReader
if __name__ == '__main__':
args = sys.argv
infile = args[1]
cr = JAMR_CorpusReader()
cr.load_amrs(infile)
gold_amrs = cr.amrs
for sentidx, amr in enumerate(gold_amrs):
for n in amr.alignments:
print(str(sentidx)+'\t'+n+'\t'+','... | 22.235294 | 87 | 0.616402 |
455ec14366cbca1ad699f01e8d919c9468857541 | 126 | py | Python | setup.py | HDembinski/bibtools | 1dcc9b2ad19c11e01848a2d9a26bcad7f20e9141 | [
"BSD-3-Clause"
] | null | null | null | setup.py | HDembinski/bibtools | 1dcc9b2ad19c11e01848a2d9a26bcad7f20e9141 | [
"BSD-3-Clause"
] | null | null | null | setup.py | HDembinski/bibtools | 1dcc9b2ad19c11e01848a2d9a26bcad7f20e9141 | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup
from glob import glob
setup(
name='bibtools',
version='0.0.1',
scripts=glob('src/*.py'),
) | 15.75 | 28 | 0.68254 |
455ec713befd7532c83b45583b4e08a6cd8de1bc | 70 | py | Python | src/prodis/packets/handshaking/__init__.py | blubberdiblub/prodis | c70d31b7df0358edd8969e9a94341b3771ee2e0f | [
"MIT"
] | null | null | null | src/prodis/packets/handshaking/__init__.py | blubberdiblub/prodis | c70d31b7df0358edd8969e9a94341b3771ee2e0f | [
"MIT"
] | null | null | null | src/prodis/packets/handshaking/__init__.py | blubberdiblub/prodis | c70d31b7df0358edd8969e9a94341b3771ee2e0f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from .serverbound import Packet as ServerBound
| 17.5 | 46 | 0.785714 |
45615865d28df52f0bed3733b2d9feada286ab25 | 572 | py | Python | send.py | EmelyanenkoK/freeton_scheduler | 8fd88d09e95e7ce48923efc48e22f2068705a72a | [
"MIT"
] | null | null | null | send.py | EmelyanenkoK/freeton_scheduler | 8fd88d09e95e7ce48923efc48e22f2068705a72a | [
"MIT"
] | null | null | null | send.py | EmelyanenkoK/freeton_scheduler | 8fd88d09e95e7ce48923efc48e22f2068705a72a | [
"MIT"
] | 2 | 2021-08-30T15:05:53.000Z | 2022-02-20T20:11:12.000Z | import sys
from graphqlclient import GraphQLClient
from random import randint
import codecs, json
client = GraphQLClient("https://net.ton.dev/graphql")
mutation_template = '''
mutation {
postRequests(requests:[{id:"%(request_id)s",body:"%(base64_boc)s",expireAt:2e12}])
}
'''
with open(sys.argv[1], "rb+") as f:
... | 27.238095 | 127 | 0.702797 |
456204f6871f6eb8dedf973fadca394db0e5504c | 87 | py | Python | scripts/exercicios/ex025.py | RuanBarretodosSantos/python | 4142ccd71c4ffb4bb6a10d61c85f612758f5bb41 | [
"MIT"
] | null | null | null | scripts/exercicios/ex025.py | RuanBarretodosSantos/python | 4142ccd71c4ffb4bb6a10d61c85f612758f5bb41 | [
"MIT"
] | null | null | null | scripts/exercicios/ex025.py | RuanBarretodosSantos/python | 4142ccd71c4ffb4bb6a10d61c85f612758f5bb41 | [
"MIT"
] | null | null | null | nome = str(input('Digite seu nome: ')).strip()
cap = nome.title()
print('Silva' in cap) | 29 | 46 | 0.655172 |
45633fd4e855086655acb3712ae36101ef73aca3 | 1,097 | py | Python | tests/test_tokenizer.py | AlessandroVol23/DEMorphy | a19532a21ac0ce7334ba3203274dc28ba95075d3 | [
"MIT"
] | 43 | 2018-03-07T11:05:00.000Z | 2022-01-28T06:44:01.000Z | tests/test_tokenizer.py | AlessandroVol23/DEMorphy | a19532a21ac0ce7334ba3203274dc28ba95075d3 | [
"MIT"
] | 6 | 2018-04-06T09:40:32.000Z | 2019-12-30T08:08:57.000Z | tests/test_tokenizer.py | AlessandroVol23/DEMorphy | a19532a21ac0ce7334ba3203274dc28ba95075d3 | [
"MIT"
] | 13 | 2018-03-20T09:22:53.000Z | 2021-11-12T13:33:23.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
import pytest
from demorphy.tokenizer import tokenize
| 43.88 | 142 | 0.64722 |
45639632859da23d700860306c51ed0f2069eeb3 | 7,995 | py | Python | pandalog/cmd.py | bitpanda-labs/pandalog | 3c2df6bcc8afe20de6a1e9ef8faa560cd6ee03d1 | [
"BSD-3-Clause"
] | null | null | null | pandalog/cmd.py | bitpanda-labs/pandalog | 3c2df6bcc8afe20de6a1e9ef8faa560cd6ee03d1 | [
"BSD-3-Clause"
] | null | null | null | pandalog/cmd.py | bitpanda-labs/pandalog | 3c2df6bcc8afe20de6a1e9ef8faa560cd6ee03d1 | [
"BSD-3-Clause"
] | null | null | null | """Pandalog collection of entrypoint scripts
Scripts:
- pandalog
- pandalog-auth
To install the collection, use either one of the following options:
1) Build the Dockerfile and run the application
2) Run "python3 setup.py install"
The scripts are installed as executable binaries under /usr/local/bin.
It is always ... | 30.515267 | 76 | 0.572358 |
45644252af580ad3b26baf06271591b906d31ba9 | 2,803 | py | Python | disaster_recovery/actions/views.py | openstack/freezer-web-ui | ed5462edace65a69667e1f2f42cce343cc5bbeea | [
"Apache-2.0"
] | 32 | 2015-10-18T02:53:48.000Z | 2022-03-10T23:41:18.000Z | disaster_recovery/actions/views.py | stackforge/freezer-web-ui | 722ae8a051762bbd5e8bdede691d55b0c74bb1b4 | [
"Apache-2.0"
] | 1 | 2018-01-10T03:59:48.000Z | 2018-01-10T03:59:48.000Z | disaster_recovery/actions/views.py | stackforge/freezer-web-ui | 722ae8a051762bbd5e8bdede691d55b0c74bb1b4 | [
"Apache-2.0"
] | 12 | 2015-12-11T10:09:07.000Z | 2021-01-05T13:35:12.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | 37.878378 | 76 | 0.696397 |
45650bfff480eaae33caf9f4aae1e7c37cec59e0 | 507 | py | Python | osf_oauth2_adapter/apps.py | enrobyn/lookit-api | 621fbb8b25100a21fd94721d39003b5d4f651dc5 | [
"MIT"
] | null | null | null | osf_oauth2_adapter/apps.py | enrobyn/lookit-api | 621fbb8b25100a21fd94721d39003b5d4f651dc5 | [
"MIT"
] | null | null | null | osf_oauth2_adapter/apps.py | enrobyn/lookit-api | 621fbb8b25100a21fd94721d39003b5d4f651dc5 | [
"MIT"
] | null | null | null | import os
from django.apps import AppConfig
| 39 | 110 | 0.704142 |
4565a962599f606102d9b2cb87ed6c04a795800f | 3,040 | py | Python | wiktionarifier/scrape/core.py | lgessler/wiktionarifier | 7359a946f2dcef08455f9e552d6a1e3875beed63 | [
"MIT"
] | 1 | 2021-02-25T16:22:47.000Z | 2021-02-25T16:22:47.000Z | wiktionarifier/scrape/core.py | lgessler/wiktionarifier | 7359a946f2dcef08455f9e552d6a1e3875beed63 | [
"MIT"
] | null | null | null | wiktionarifier/scrape/core.py | lgessler/wiktionarifier | 7359a946f2dcef08455f9e552d6a1e3875beed63 | [
"MIT"
] | null | null | null | import os
import requests as R
import click
import wiktionarifier.scrape.db as db
| 35.348837 | 101 | 0.653289 |
4566f1df5335aa685d6a7563d2d07326d10dd71f | 911 | py | Python | melange/event_serializer.py | Rydra/melange | 5de67dd4eab506353ea05f30df6d250997e3c97f | [
"MIT"
] | 7 | 2017-11-22T15:52:46.000Z | 2022-01-17T23:01:24.000Z | melange/event_serializer.py | Rydra/melange | 5de67dd4eab506353ea05f30df6d250997e3c97f | [
"MIT"
] | 1 | 2017-11-30T16:13:52.000Z | 2019-02-12T14:51:54.000Z | melange/event_serializer.py | Rydra/melange | 5de67dd4eab506353ea05f30df6d250997e3c97f | [
"MIT"
] | 3 | 2017-11-15T16:34:20.000Z | 2022-01-24T11:05:54.000Z | import json
from typing import Generic, Dict, Optional
from melange.helpers.typing import T
| 25.305556 | 87 | 0.641054 |
45712dc508f41385cf0cbd9c2e96f1445b5789c9 | 163 | py | Python | utils/decorators/__init__.py | jemand2001/python-utils | 652d3998cb272530e42100ae844178ad7a092c8c | [
"MIT"
] | null | null | null | utils/decorators/__init__.py | jemand2001/python-utils | 652d3998cb272530e42100ae844178ad7a092c8c | [
"MIT"
] | null | null | null | utils/decorators/__init__.py | jemand2001/python-utils | 652d3998cb272530e42100ae844178ad7a092c8c | [
"MIT"
] | null | null | null | from .strict import (strict)
from .overload import (overload)
from .template import (template)
from .convert import (convert)
from .auto_slots import (auto_slots)
| 27.166667 | 36 | 0.785276 |
4571f5ea9930c1e8a75a9d3d4c06b5bd761edd2d | 4,058 | py | Python | src/ebonite/ext/numpy/dataset.py | geffy/ebonite | 2d85eeca44ac1799e743bafe333887712e325060 | [
"Apache-2.0"
] | 1 | 2019-11-27T14:33:45.000Z | 2019-11-27T14:33:45.000Z | src/ebonite/ext/numpy/dataset.py | geffy/ebonite | 2d85eeca44ac1799e743bafe333887712e325060 | [
"Apache-2.0"
] | null | null | null | src/ebonite/ext/numpy/dataset.py | geffy/ebonite | 2d85eeca44ac1799e743bafe333887712e325060 | [
"Apache-2.0"
] | null | null | null | from typing import Tuple, Type
import numpy as np
from pyjackson.core import ArgList, Field
from pyjackson.generics import Serializer
from ebonite.core.analyzer.base import CanIsAMustHookMixin, TypeHookMixin
from ebonite.core.analyzer.dataset import DatasetHook
from ebonite.core.objects.dataset_type import DatasetTyp... | 28.985714 | 111 | 0.679645 |
45734ef76afd9e1a67dca51aafc6b99a76fd2b37 | 3,676 | py | Python | src/scenic/simulators/gta/img_modf.py | cahartsell/Scenic | 2e7979011aef426108687947668d9ba6f5439136 | [
"BSD-3-Clause"
] | 141 | 2019-03-07T07:17:19.000Z | 2022-03-19T16:15:48.000Z | src/scenic/simulators/gta/img_modf.py | cahartsell/Scenic | 2e7979011aef426108687947668d9ba6f5439136 | [
"BSD-3-Clause"
] | 27 | 2019-06-18T23:04:29.000Z | 2022-03-31T13:42:05.000Z | src/scenic/simulators/gta/img_modf.py | cahartsell/Scenic | 2e7979011aef426108687947668d9ba6f5439136 | [
"BSD-3-Clause"
] | 59 | 2019-04-08T15:20:15.000Z | 2022-03-29T07:23:26.000Z | '''
This file has basic image modification functions
'''
from PIL import Image
import cv2
from scipy.spatial import Voronoi
from itertools import product
import numpy as np
| 33.117117 | 80 | 0.658596 |
4573d78a926be44e3e975ec76045bd812f719ca9 | 1,396 | py | Python | scripts/uri_checks.py | geological-survey-of-queensland/vocabularies | b9a47ad495bb56e09ac7057e0019ce5b014272f1 | [
"CC-BY-4.0"
] | 15 | 2019-03-12T04:20:36.000Z | 2021-11-03T20:30:05.000Z | scripts/uri_checks.py | geological-survey-of-queensland/vocabularies | b9a47ad495bb56e09ac7057e0019ce5b014272f1 | [
"CC-BY-4.0"
] | 207 | 2019-02-11T13:05:56.000Z | 2022-03-29T00:57:20.000Z | scripts/uri_checks.py | geological-survey-of-queensland/vocabularies | b9a47ad495bb56e09ac7057e0019ce5b014272f1 | [
"CC-BY-4.0"
] | 9 | 2019-02-11T21:42:15.000Z | 2021-05-29T05:29:04.000Z | # This script checks the redirect status of vocabs' URIs
#
# as of 2020-06-03, all 64 vocab' URIs are resulting in successful redirects to GSQ VocPrez
import requests
import os
from os.path import join, dirname
import glob
from rdflib import Graph
from rdflib.namespace import RDF, SKOS
if __name__ == "__main__":
... | 29.083333 | 91 | 0.644699 |
4575d22b2678c4979e2f0e7aaa2fadd3460d6e76 | 5,164 | py | Python | src/analysis/measurement.py | rabenstefan/epp1819 | 67a46b9967cd6499a8724778246b5f289abef020 | [
"MIT"
] | null | null | null | src/analysis/measurement.py | rabenstefan/epp1819 | 67a46b9967cd6499a8724778246b5f289abef020 | [
"MIT"
] | null | null | null | src/analysis/measurement.py | rabenstefan/epp1819 | 67a46b9967cd6499a8724778246b5f289abef020 | [
"MIT"
] | null | null | null | """Measurement class: organizes measurements and parameters per factor.
MeasurementDimensionError class: exception if dimensions do not fit.
"""
import numpy as np
import pandas as pd
from scipy.stats import norm
| 40.031008 | 79 | 0.540279 |
457699cdcae4bafe41114c01a0f125a7668be5fb | 5,823 | py | Python | tests/processors/test_processors.py | foxis/EasyVision | ffb2ce1a93fdace39c6bcc13c8ae518cec76919e | [
"MIT",
"BSD-3-Clause"
] | 7 | 2018-12-27T07:45:31.000Z | 2021-06-17T03:49:15.000Z | tests/processors/test_processors.py | itohio/EasyVision | de6a4bb9160cd08278ae9c5738497132a4cd3202 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | tests/processors/test_processors.py | itohio/EasyVision | de6a4bb9160cd08278ae9c5738497132a4cd3202 | [
"MIT",
"BSD-3-Clause"
] | 3 | 2019-08-21T03:36:56.000Z | 2021-10-08T16:12:53.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from pytest import raises, approx
from EasyVision.vision.base import *
from EasyVision.processors.base import *
from tests.common import VisionSubclass, ProcessorA, ProcessorB
| 29.558376 | 75 | 0.666667 |
45770058508f21a3a4be648d911aa80a191fe520 | 5,858 | py | Python | utils/ErrorMetrics.py | caozidong/Depth-Completion | a4d95cd33f29c5c8610fc8f40dd3b1fc81186143 | [
"Apache-2.0"
] | 5 | 2021-01-19T13:59:14.000Z | 2021-12-01T12:09:01.000Z | utils/ErrorMetrics.py | caozidong/Depth-Completion | a4d95cd33f29c5c8610fc8f40dd3b1fc81186143 | [
"Apache-2.0"
] | null | null | null | utils/ErrorMetrics.py | caozidong/Depth-Completion | a4d95cd33f29c5c8610fc8f40dd3b1fc81186143 | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np | 35.50303 | 92 | 0.575111 |
45788c6b217430689dd700b6c88fe7ce35978163 | 1,445 | py | Python | main.py | jagadeesh-vinnakota/iiot_health | 315d8e572d93cea76e235d440f6299b585a0e98c | [
"MIT"
] | null | null | null | main.py | jagadeesh-vinnakota/iiot_health | 315d8e572d93cea76e235d440f6299b585a0e98c | [
"MIT"
] | null | null | null | main.py | jagadeesh-vinnakota/iiot_health | 315d8e572d93cea76e235d440f6299b585a0e98c | [
"MIT"
] | null | null | null | import dash
import dash_core_components as dcc
import dash_html_components as html
from data_gather import plot_line_graph
from run_save_model import predict_line_graph, train_save_load
from generating_data import generate_sensors_data
# generating sensors data
generate_sensors_data()
train_save_load()
external_style... | 35.243902 | 151 | 0.703806 |
4578fe4c6cbb19782f80ec6f027b88bca5feadb5 | 5,131 | py | Python | what_is_code.py | ccostino/what-is-code | 0147113e0193d6ade91e6ae054cec9ff6939b0ab | [
"Apache-2.0"
] | 1 | 2015-06-19T16:37:27.000Z | 2015-06-19T16:37:27.000Z | what_is_code.py | ccostino/what-is-code | 0147113e0193d6ade91e6ae054cec9ff6939b0ab | [
"Apache-2.0"
] | null | null | null | what_is_code.py | ccostino/what-is-code | 0147113e0193d6ade91e6ae054cec9ff6939b0ab | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
WhatIsCode
This extremely simple script was an inspiration driven by a combination of
Paul Ford's article on Bloomberg Business Week, "What is Code?"[1] and
Haddaway's song, "What is Love"[2]. It is probably best enjoyed while
watching an 8-bit demake of the song[3], or 16-bit if you prefer... | 28.988701 | 78 | 0.62327 |
45796c368191af808f0981f9aa041b0bcb8462f3 | 10,651 | py | Python | frcnn/lib/datasets/cocoatts.py | visinf/style-seqcvae | c51dfeaf0e3c1e25dee19cbd20df2004d027fdee | [
"Apache-2.0"
] | null | null | null | frcnn/lib/datasets/cocoatts.py | visinf/style-seqcvae | c51dfeaf0e3c1e25dee19cbd20df2004d027fdee | [
"Apache-2.0"
] | null | null | null | frcnn/lib/datasets/cocoatts.py | visinf/style-seqcvae | c51dfeaf0e3c1e25dee19cbd20df2004d027fdee | [
"Apache-2.0"
] | null | null | null | import os
import pickle
import numpy as np
from datasets.config_attrib_selection import attrib_selection
| 37.903915 | 179 | 0.5745 |
457a13fcc5619e763cff2978c285e3ac7191dd4c | 349 | py | Python | easy/count-as-i-count/main.py | khanh-alice/codingame-python | 3d84361db2e3371104db8d9befcf4dbb47f6ac6e | [
"Apache-2.0"
] | null | null | null | easy/count-as-i-count/main.py | khanh-alice/codingame-python | 3d84361db2e3371104db8d9befcf4dbb47f6ac6e | [
"Apache-2.0"
] | null | null | null | easy/count-as-i-count/main.py | khanh-alice/codingame-python | 3d84361db2e3371104db8d9befcf4dbb47f6ac6e | [
"Apache-2.0"
] | null | null | null | initialScore = int(input())
print(count_solutions(initialScore, 0))
| 17.45 | 58 | 0.601719 |
457a7a556af7a4b160da5ec709717168732be108 | 559 | py | Python | python/udp_socket_emit.py | draconicfae/godot_daydream_controller | 81b6b78583264c9e5d383fe7691a6836deaea7a7 | [
"MIT"
] | null | null | null | python/udp_socket_emit.py | draconicfae/godot_daydream_controller | 81b6b78583264c9e5d383fe7691a6836deaea7a7 | [
"MIT"
] | null | null | null | python/udp_socket_emit.py | draconicfae/godot_daydream_controller | 81b6b78583264c9e5d383fe7691a6836deaea7a7 | [
"MIT"
] | null | null | null | import socket
import json
| 34.9375 | 161 | 0.617174 |
457b9730f9e55cce329d265159d8b2efc07ce3bc | 133 | py | Python | recuEuclid.py | azyxb/info | d34555abe55895751272e0ad129c7fb79f9613b0 | [
"MIT"
] | 2 | 2019-12-14T10:54:38.000Z | 2020-03-30T22:57:11.000Z | recuEuclid.py | azyxb/info | d34555abe55895751272e0ad129c7fb79f9613b0 | [
"MIT"
] | null | null | null | recuEuclid.py | azyxb/info | d34555abe55895751272e0ad129c7fb79f9613b0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
a = 12000
b = 8642
print(gcd(a, b))
| 12.090909 | 23 | 0.511278 |
457bd8f1d4de17115e3f02e7cca8a1fd7c15124e | 4,065 | py | Python | distributed.py | SagaFav/etlpy | 5cc98ecc2b8e6590a7410195174dbe85beeb4927 | [
"Apache-2.0"
] | 448 | 2016-03-17T13:00:57.000Z | 2022-02-17T06:00:25.000Z | distributed.py | Hanfee/etlpy | 5cc98ecc2b8e6590a7410195174dbe85beeb4927 | [
"Apache-2.0"
] | 6 | 2016-03-17T12:06:25.000Z | 2019-08-31T01:12:18.000Z | distributed.py | Hanfee/etlpy | 5cc98ecc2b8e6590a7410195174dbe85beeb4927 | [
"Apache-2.0"
] | 204 | 2016-03-17T04:00:00.000Z | 2022-03-22T10:28:05.000Z | import sys;
from queue import Queue
from multiprocessing.managers import BaseManager
import etl;
import json
import extends;
import time;
authkey= "etlpy".encode('utf-8')
timeout=1;
rpc_port=8888
if __name__ == '__main__':
ip='127.0.0.1'
port=8888;
argv=sys.argv;
if len(argv)>1:
ip=argv[1... | 29.035714 | 116 | 0.597786 |
457c9e761df0197d87df1e4c38c0d31c4acad3b3 | 46 | py | Python | je_auto_control/utils/exception/__init__.py | JE-Chen/Python_JEAutoControl | 477bf9612e28e9ab6d0a8e269db2f699e50a3744 | [
"MIT"
] | 9 | 2020-10-12T06:33:36.000Z | 2021-09-13T07:07:36.000Z | je_auto_control/utils/exception/__init__.py | JE-Chen/Python_JEAutoControl | 477bf9612e28e9ab6d0a8e269db2f699e50a3744 | [
"MIT"
] | null | null | null | je_auto_control/utils/exception/__init__.py | JE-Chen/Python_JEAutoControl | 477bf9612e28e9ab6d0a8e269db2f699e50a3744 | [
"MIT"
] | null | null | null | from je_auto_control.utils.exception import *
| 23 | 45 | 0.847826 |
457d8ed76184da607ae120220f6d3c830a2b03ff | 399 | py | Python | kafka_streamer/topic/datatype/base.py | sam-mosleh/kafka-streamer | be977af192b33a335b42af0a42ad05d9f3f9fef4 | [
"BSD-3-Clause"
] | 1 | 2020-06-26T00:10:05.000Z | 2020-06-26T00:10:05.000Z | kafka_streamer/topic/datatype/base.py | sam-mosleh/kafka-streamer | be977af192b33a335b42af0a42ad05d9f3f9fef4 | [
"BSD-3-Clause"
] | null | null | null | kafka_streamer/topic/datatype/base.py | sam-mosleh/kafka-streamer | be977af192b33a335b42af0a42ad05d9f3f9fef4 | [
"BSD-3-Clause"
] | null | null | null | from abc import ABC, abstractmethod
from typing import Type, Union
from kafka_streamer.models import SchematicRecord, Serializable
| 21 | 75 | 0.696742 |
457fe543702bb54ebf9797e9d79e185259d5ef9b | 479 | py | Python | Searching and Sorting/playlist.py | mishrakeshav/CSES-Problem-Set | 7f7169b20af44430e9208ba22c122054cea23ca1 | [
"MIT"
] | null | null | null | Searching and Sorting/playlist.py | mishrakeshav/CSES-Problem-Set | 7f7169b20af44430e9208ba22c122054cea23ca1 | [
"MIT"
] | null | null | null | Searching and Sorting/playlist.py | mishrakeshav/CSES-Problem-Set | 7f7169b20af44430e9208ba22c122054cea23ca1 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
solve() | 19.958333 | 66 | 0.409186 |
458102bbeb0db4cf5f121ed094ae66fd065c288b | 998 | py | Python | tools/extract-qa-from-squad.py | xuqingyang/qa-robot | 19315ec4b603d45e9ea6d2edd57a3148168fb51a | [
"MIT"
] | null | null | null | tools/extract-qa-from-squad.py | xuqingyang/qa-robot | 19315ec4b603d45e9ea6d2edd57a3148168fb51a | [
"MIT"
] | null | null | null | tools/extract-qa-from-squad.py | xuqingyang/qa-robot | 19315ec4b603d45e9ea6d2edd57a3148168fb51a | [
"MIT"
] | null | null | null | import json
import argparse
import pprint
import csv
parser = argparse.ArgumentParser(description="parse squad qa into scv")
parser.add_argument("--input", type=str)
parser.add_argument("--output", type=str)
args = parser.parse_args()
input_file = args.input
output_file = args.output
with open(input_file, 'r') as f:
... | 26.263158 | 86 | 0.619238 |
458163ee3d8d9bc98cadc044e2e7a1c59f34e1ba | 9,448 | py | Python | boardinghouse/middleware.py | luzfcb/django-boardinghouse | 4b9fc7b0e51b6f72abcd904152b92243cf6f0eb0 | [
"BSD-3-Clause"
] | null | null | null | boardinghouse/middleware.py | luzfcb/django-boardinghouse | 4b9fc7b0e51b6f72abcd904152b92243cf6f0eb0 | [
"BSD-3-Clause"
] | null | null | null | boardinghouse/middleware.py | luzfcb/django-boardinghouse | 4b9fc7b0e51b6f72abcd904152b92243cf6f0eb0 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
import logging
import re
from django.contrib import messages
from django.db import ProgrammingError
from django.http import HttpResponse, HttpResponseForbidden, HttpResponseRedirect
from django.shortcuts import redirect
from django.utils.translation import ugettext_lazy as _
fr... | 38.096774 | 89 | 0.63876 |
458184e9428ce6081bebdb6fd9e6c94b6f1c189a | 13,141 | py | Python | meta-nml/model.py | kevintli/mural | e18e7d1a72b561fab1b5da026806e3417a9c63db | [
"MIT"
] | 5 | 2021-09-23T07:35:58.000Z | 2022-01-07T21:23:06.000Z | meta-nml/model.py | kevintli/mural | e18e7d1a72b561fab1b5da026806e3417a9c63db | [
"MIT"
] | null | null | null | meta-nml/model.py | kevintli/mural | e18e7d1a72b561fab1b5da026806e3417a9c63db | [
"MIT"
] | 1 | 2021-12-10T20:01:16.000Z | 2021-12-10T20:01:16.000Z | import torch.nn as nn
import numpy as np
from collections import OrderedDict
from torchmeta.modules import (MetaModule, MetaConv2d, MetaBatchNorm2d,
MetaSequential, MetaLinear)
import torch
def ModelConvOmniglot(out_features, hidden_size=64):
return MetaConvModel(1, out_featur... | 39.226866 | 116 | 0.623392 |
4581f801ff1eb9705ad068ec4480ee6ead8ec4c9 | 3,417 | py | Python | debug.py | davenewham/BlackBoard-Course-Downloader | 1f0a2fe11067488d8e2a46818857623c4c6849bd | [
"MIT"
] | 57 | 2019-06-11T16:19:39.000Z | 2022-03-29T01:38:47.000Z | debug.py | davenewham/BlackBoard-Course-Downloader | 1f0a2fe11067488d8e2a46818857623c4c6849bd | [
"MIT"
] | 14 | 2019-06-13T17:30:44.000Z | 2022-01-16T14:21:15.000Z | debug.py | davenewham/BlackBoard-Course-Downloader | 1f0a2fe11067488d8e2a46818857623c4c6849bd | [
"MIT"
] | 20 | 2019-11-24T11:28:12.000Z | 2022-02-16T07:29:56.000Z | from blackboard import BlackBoardContent, BlackBoardClient, BlackBoardAttachment, BlackBoardEndPoints, \
BlackBoardCourse, BlackBoardInstitute
import os
import re
import requests
import datetime
import xmltodict
import argparse
import sys
import json
import getpass
import main
if __name__ == "__main__":
test(... | 38.829545 | 148 | 0.642962 |
458360f058f7cad1d028a83c610e0b3f7525ff76 | 1,246 | py | Python | easycron/easycron/plist.py | skeptycal/.dotfiles | ef6d4e47f77a12024587ed24a0c3048fe5b60ed1 | [
"MIT"
] | 5 | 2019-10-03T21:25:42.000Z | 2022-03-30T16:14:20.000Z | easycron/easycron/plist.py | skeptycal/.dotfiles | ef6d4e47f77a12024587ed24a0c3048fe5b60ed1 | [
"MIT"
] | 6 | 2019-07-11T00:23:08.000Z | 2020-12-15T06:21:19.000Z | easycron/easycron/plist.py | skeptycal/.dotfiles | ef6d4e47f77a12024587ed24a0c3048fe5b60ed1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import datetime
import plistlib
import tempfile
import time
from os import PathLike
from typing import Dict, Union
pl = dict(
aString="Doodah",
aList=["A", "B", 12, 32.1, [1, 2, 3]],
aFloat=0.1,
anInt=728,
aDict=dict(
anotherString="<hello & hi there!>",
aThir... | 23.074074 | 70 | 0.635634 |
458445a4da8ce1297713dbab63280e457ebba263 | 414 | py | Python | symposion/schedule/migrations/0003_remove_presentation_additional_speakers.py | pyohio/symposion | f8ec9c7e7daab4658061867d1294c1c126dd2919 | [
"BSD-3-Clause"
] | null | null | null | symposion/schedule/migrations/0003_remove_presentation_additional_speakers.py | pyohio/symposion | f8ec9c7e7daab4658061867d1294c1c126dd2919 | [
"BSD-3-Clause"
] | 5 | 2015-07-16T19:46:00.000Z | 2018-03-11T05:58:48.000Z | symposion/schedule/migrations/0003_remove_presentation_additional_speakers.py | pyohio/symposion | f8ec9c7e7daab4658061867d1294c1c126dd2919 | [
"BSD-3-Clause"
] | 1 | 2017-01-27T21:18:26.000Z | 2017-01-27T21:18:26.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.9 on 2018-06-23 06:06
from __future__ import unicode_literals
from django.db import migrations
| 20.7 | 49 | 0.63285 |
458576ab2c7f8650e836abcb0b08f9c1ccc55b11 | 425 | py | Python | setup.py | 3kwa/datoms | 108733769a940b799482270198aa500873aee01c | [
"Unlicense"
] | 4 | 2017-10-27T19:11:23.000Z | 2021-02-27T08:18:39.000Z | setup.py | 3kwa/datoms | 108733769a940b799482270198aa500873aee01c | [
"Unlicense"
] | null | null | null | setup.py | 3kwa/datoms | 108733769a940b799482270198aa500873aee01c | [
"Unlicense"
] | 1 | 2016-09-02T12:29:45.000Z | 2016-09-02T12:29:45.000Z | from setuptools import setup
setup(
name = 'datoms',
version = '0.1.0',
description = 'A simplistic, Datomic inspired, SQLite backed, REST influenced, schemaless auditable facts storage.',
py_modules = ['datoms'],
license = 'unlicense',
author = 'Eugene Van den Bulke',
author_email = 'euge... | 28.333333 | 120 | 0.663529 |
45857d1509e13e72b89d409aa8c1b7c1595621d3 | 2,728 | py | Python | cocoa_folder/scripts/bot_bot_chat.py | s-akanksha/DialoGraph_ICLR21 | d5bbc10b2623c9f84d21a99a5e54e7dcfdfb1bcc | [
"Apache-2.0"
] | 12 | 2021-03-17T05:15:33.000Z | 2022-01-19T06:09:21.000Z | cocoa_folder/scripts/bot_bot_chat.py | s-akanksha/DialoGraph_ICLR21 | d5bbc10b2623c9f84d21a99a5e54e7dcfdfb1bcc | [
"Apache-2.0"
] | 2 | 2021-05-25T07:28:46.000Z | 2022-02-11T01:54:43.000Z | cocoa_folder/scripts/bot_bot_chat.py | s-akanksha/DialoGraph_ICLR21 | d5bbc10b2623c9f84d21a99a5e54e7dcfdfb1bcc | [
"Apache-2.0"
] | 4 | 2021-10-11T03:39:38.000Z | 2022-02-01T23:58:50.000Z | '''
Takes two agent implementations and generates the dialogues.
'''
import argparse
import random
import json
import numpy as np
from cocoa.core.util import read_json
from cocoa.core.schema import Schema
from cocoa.core.scenario_db import ScenarioDB, add_scenario_arguments
from cocoa.core.dataset import add_dataset_... | 41.333333 | 125 | 0.69868 |
4586103dff65390c36a39a858fcae5341e48ccd7 | 2,777 | py | Python | app/handlers/admins/moderation.py | vitaliy-ukiru/math-bot | 72c116b4f5a4aa6a5f8eaae67ecbbf3df821f9e9 | [
"MIT"
] | 1 | 2021-12-11T07:41:38.000Z | 2021-12-11T07:41:38.000Z | app/handlers/admins/moderation.py | vitaliy-ukiru/math-bot | 72c116b4f5a4aa6a5f8eaae67ecbbf3df821f9e9 | [
"MIT"
] | 8 | 2021-05-08T21:48:34.000Z | 2022-01-20T15:42:00.000Z | app/handlers/admins/moderation.py | vitaliy-ukiru/math-bot | 72c116b4f5a4aa6a5f8eaae67ecbbf3df821f9e9 | [
"MIT"
] | null | null | null | # Source: https://github.com/aiogram/bot/blob/master/aiogram_bot/handlers/simple_admin.py
import logging
from aiogram import types
from aiogram.utils import exceptions
from babel.dates import format_timedelta
from app.loader import dp
from app.utils.timedelta import parse_timedelta_from_message
logger = logging.ge... | 31.556818 | 99 | 0.657184 |
458860860a8c1e1c28fb5b0848e12367ffab7ad3 | 370 | py | Python | serial_scripts/system_test/flow_tests/ReleaseToFlowSetupRateMapping.py | atsgen/tf-test | 2748fcd81491450c75dadc71849d2a1c11061029 | [
"Apache-2.0"
] | 5 | 2020-09-29T00:36:57.000Z | 2022-02-16T06:51:32.000Z | serial_scripts/system_test/flow_tests/ReleaseToFlowSetupRateMapping.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | 27 | 2019-11-02T02:18:34.000Z | 2022-02-24T18:49:08.000Z | serial_scripts/system_test/flow_tests/ReleaseToFlowSetupRateMapping.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | 20 | 2019-11-28T16:02:25.000Z | 2022-01-06T05:56:58.000Z | # Here the rate is set for Policy flows, local to a compute, which is
# lesser than policy flows across computes
expected_flow_setup_rate = {}
expected_flow_setup_rate['policy'] = {
'1.04': 6000, '1.05': 9000, '1.06': 10000, '1.10': 10000, '2.10': 13000}
expected_flow_setup_rate['nat'] = {
'1.04': 4200, '1.05':... | 46.25 | 76 | 0.654054 |
458960f108b95d2cbc041786562002a68b17daea | 1,016 | py | Python | DP_MCP.py | man-o-war/DS-Algorithms | 12237fb42fb48e8e7a2cbcb8ecb0d86b87bb3fd3 | [
"MIT"
] | null | null | null | DP_MCP.py | man-o-war/DS-Algorithms | 12237fb42fb48e8e7a2cbcb8ecb0d86b87bb3fd3 | [
"MIT"
] | null | null | null | DP_MCP.py | man-o-war/DS-Algorithms | 12237fb42fb48e8e7a2cbcb8ecb0d86b87bb3fd3 | [
"MIT"
] | null | null | null | # Dynamic Programming Python implementation of Min Cost Path
# problem
R = 3
C = 3
# Driver program to test above functions
cost = [[1, 2, 3],
[4, 8, 2],
[1, 5, 3]]
print(minCost(cost, 2, 2))
#O(mn) | 27.459459 | 78 | 0.540354 |
458a562e22dcc2a1d067069337d7d494ddd4941f | 3,277 | py | Python | Views/Affichage/transitionView.py | yvesjordan06/automata-brains | 1c34dd9315fcee7ce1807a2b94a0ec48421d03b1 | [
"MIT"
] | 3 | 2020-01-31T15:54:48.000Z | 2020-02-01T10:01:35.000Z | Views/Affichage/transitionView.py | Tcomputer5/automata-brains | 6c2a7714d1fcb16763084a33a2f0f1364d4f8eb8 | [
"MIT"
] | null | null | null | Views/Affichage/transitionView.py | Tcomputer5/automata-brains | 6c2a7714d1fcb16763084a33a2f0f1364d4f8eb8 | [
"MIT"
] | 2 | 2020-02-01T09:59:51.000Z | 2020-02-01T10:02:12.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'UI/transitionView.ui'
#
# Created by: PyQt5 UI code generator 5.14.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import QIcon
from Models.Automate import Automate
... | 32.77 | 120 | 0.64968 |
458b63ce9f8114bff2c526efb8cbbe3355958823 | 380 | py | Python | gellifinsta/migrations/0004_rename_local_fname_gellifinsta_file_path.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | gellifinsta/migrations/0004_rename_local_fname_gellifinsta_file_path.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | gellifinsta/migrations/0004_rename_local_fname_gellifinsta_file_path.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | # Generated by Django 3.2.4 on 2021-06-23 14:52
from django.db import migrations
| 20 | 51 | 0.602632 |
458ea89efaf4582b937e60a207ad5ec47d2a4440 | 3,881 | py | Python | python/etc/extract_final_branch_weights.py | AdamByerly/MMLCNNwHFCs | 499c275522656e4537c58c330476683e0a0f4bef | [
"Apache-2.0"
] | 38 | 2020-02-04T20:07:49.000Z | 2022-01-23T22:57:54.000Z | python/etc/extract_final_branch_weights.py | AdamByerly/MMLCNNwHFCs | 499c275522656e4537c58c330476683e0a0f4bef | [
"Apache-2.0"
] | 3 | 2020-04-23T16:51:27.000Z | 2020-07-19T12:26:39.000Z | python/etc/extract_final_branch_weights.py | AdamByerly/MMLCNNwHFCs | 499c275522656e4537c58c330476683e0a0f4bef | [
"Apache-2.0"
] | 9 | 2020-04-22T02:36:59.000Z | 2021-09-16T05:42:54.000Z | # Copyright 2021 Adam Byerly. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 40.852632 | 80 | 0.667611 |
458ee5a0204805bfb05bd187554d1c93282f72a6 | 7,625 | py | Python | pykSpider/kSpider2/ks_clustering.py | mr-eyes/kSpider2 | 6049c23a5e781534331ba1abcdbf067151e274a2 | [
"MIT"
] | null | null | null | pykSpider/kSpider2/ks_clustering.py | mr-eyes/kSpider2 | 6049c23a5e781534331ba1abcdbf067151e274a2 | [
"MIT"
] | null | null | null | pykSpider/kSpider2/ks_clustering.py | mr-eyes/kSpider2 | 6049c23a5e781534331ba1abcdbf067151e274a2 | [
"MIT"
] | 1 | 2021-04-09T23:59:21.000Z | 2021-04-09T23:59:21.000Z | from __future__ import division
from collections import defaultdict
import itertools
import sys
import os
import sqlite3
import click
from kSpider2.click_context import cli
import glob
"""
TODO:
New help messages
1. containment cutoff (sim_cutoff): cluster sequences with (containment > cutoff) where containment = s... | 33.738938 | 175 | 0.579803 |
458f46b3f7bac00aa3202fa59f430204a9e83498 | 2,041 | py | Python | workflow/scripts/build_primer_regions.py | kokyriakidis/dna-seq-varlociraptor | e9331a1bd8bbdf6592383353a0301148eea65e0c | [
"MIT"
] | null | null | null | workflow/scripts/build_primer_regions.py | kokyriakidis/dna-seq-varlociraptor | e9331a1bd8bbdf6592383353a0301148eea65e0c | [
"MIT"
] | null | null | null | workflow/scripts/build_primer_regions.py | kokyriakidis/dna-seq-varlociraptor | e9331a1bd8bbdf6592383353a0301148eea65e0c | [
"MIT"
] | null | null | null | import pandas as pd
chunksize = 10 ** 6
with open(snakemake.output[0], "w") as out:
with open(snakemake.log[0], "w") as log_file:
if snakemake.input[0].endswith("bedpe"):
parse_bedpe(log_file, out)
else:
parse_bed(log_file, out)
| 30.924242 | 85 | 0.488486 |
458fd8bb6dadc2e31622c1207043cbd32ef38957 | 2,039 | py | Python | utils/visualMap.py | TwelveYC/network-vi | d7a36c21a09eb86276e316193405267e3a9cc78d | [
"MIT"
] | 14 | 2020-05-13T10:04:02.000Z | 2020-12-27T05:42:05.000Z | utils/visualMap.py | TwelveYC/network-vi | d7a36c21a09eb86276e316193405267e3a9cc78d | [
"MIT"
] | null | null | null | utils/visualMap.py | TwelveYC/network-vi | d7a36c21a09eb86276e316193405267e3a9cc78d | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as colors
| 41.612245 | 104 | 0.62972 |
459249d4734814fb5305d256f82cc0dc0641dd16 | 2,361 | py | Python | data/train/python/459249d4734814fb5305d256f82cc0dc0641dd16urls.py | harshp8l/deep-learning-lang-detection | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | [
"MIT"
] | 84 | 2017-10-25T15:49:21.000Z | 2021-11-28T21:25:54.000Z | data/train/python/459249d4734814fb5305d256f82cc0dc0641dd16urls.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 5 | 2018-03-29T11:50:46.000Z | 2021-04-26T13:33:18.000Z | data/train/python/459249d4734814fb5305d256f82cc0dc0641dd16urls.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 24 | 2017-11-22T08:31:00.000Z | 2022-03-27T01:22:31.000Z | from django.conf.urls import patterns, url
from lattice.views import (lattices)
from lattice.views import (saveLatticeInfo, saveLattice)
from lattice.views import (saveModel)
from lattice.views import (lattice_home, lattice_content_home, lattice_content_search, lattice_content_list, lattice_content_model_list, lattice... | 30.662338 | 192 | 0.67302 |
4592ee2a9205ee3dd55eed2050ff0223402372a9 | 52 | py | Python | src/core/sessions/buffers/gui/configuration/twitter/__init__.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 21 | 2015-08-02T21:26:14.000Z | 2019-12-27T09:57:44.000Z | src/core/sessions/buffers/gui/configuration/twitter/__init__.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 34 | 2015-01-12T00:38:14.000Z | 2020-08-31T11:19:37.000Z | src/core/sessions/buffers/gui/configuration/twitter/__init__.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 15 | 2015-03-24T15:42:30.000Z | 2020-09-24T20:26:42.000Z | from main import BufferConfigDialog
import panels
| 17.333333 | 36 | 0.846154 |
4593c16eb2e732096aaf3aa076d3366347a35a16 | 2,155 | py | Python | fluid/PaddleRec/ctr/network_conf.py | KaiyuYue/models | d5804a6afab46a31f260dc0696e26883b33bbceb | [
"Apache-2.0"
] | 1 | 2018-11-23T10:29:49.000Z | 2018-11-23T10:29:49.000Z | fluid/PaddleRec/ctr/network_conf.py | GuangyanZhang/models | 937566323fa228d74a544f16f3e030f4c0bbb3b9 | [
"Apache-2.0"
] | null | null | null | fluid/PaddleRec/ctr/network_conf.py | GuangyanZhang/models | 937566323fa228d74a544f16f3e030f4c0bbb3b9 | [
"Apache-2.0"
] | null | null | null | import paddle.fluid as fluid
import math
dense_feature_dim = 13
| 45.851064 | 123 | 0.696984 |
4593e0391956e053099ff76cfe7c1d83b704418a | 638 | py | Python | hangman_game.py | praneethmolleti/utopia | 1855e4571307f8c52fbfc46a525aea0eb366bc79 | [
"MIT"
] | null | null | null | hangman_game.py | praneethmolleti/utopia | 1855e4571307f8c52fbfc46a525aea0eb366bc79 | [
"MIT"
] | null | null | null | hangman_game.py | praneethmolleti/utopia | 1855e4571307f8c52fbfc46a525aea0eb366bc79 | [
"MIT"
] | null | null | null | import time
name=input("Enter your name:")
print("hello",name,"time to play Hangman!")
time.sleep(1)
print("start guessing")
time.sleep(0.5)
word="secret"
guesses=""
turns=10
while turns>0:
failed=0
for i in word:
if i in guesses:
print(i)
else:
print("_")
... | 21.266667 | 47 | 0.523511 |
4593eef79d646d64bcab1d1f22414e703f225f47 | 3,637 | py | Python | datawinners/submission/request_processor.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | datawinners/submission/request_processor.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | datawinners/submission/request_processor.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | import json
import logging
from django.conf import settings
from datawinners.feeds.database import get_feeds_db_for_org
from mangrove.transport import TransportInfo
from datawinners.accountmanagement.models import TEST_REPORTER_MOBILE_NUMBER, OrganizationSetting
from datawinners.messageprovider.messages import SMS
from... | 45.4625 | 155 | 0.768765 |
45940e2e0c52d01e63ad0d9f207ac4852d537161 | 4,664 | py | Python | tests/test_losses.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 92 | 2019-08-15T11:03:50.000Z | 2022-03-12T01:21:05.000Z | tests/test_losses.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 3 | 2020-03-11T08:57:50.000Z | 2021-01-06T01:39:47.000Z | tests/test_losses.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 16 | 2019-10-12T11:28:53.000Z | 2022-03-28T14:04:12.000Z | import unittest
import torch
from parameterized import parameterized
from torecsys.losses import *
device = 'cuda:0' if torch.cuda.is_available() else 'cpu'
if __name__ == '__main__':
unittest.main()
| 30.684211 | 75 | 0.596698 |
4595ee6a2050b46ad9613d645fcc6da9d6a3d73a | 653 | py | Python | src/jrtts/GlowTTS/Networks/build_model.py | tosaka-m/japanese_realtime_tts | f278005e6b79ecb975a6dc476aef3394a46214b3 | [
"MIT"
] | 5 | 2020-08-06T14:36:16.000Z | 2022-03-08T05:47:56.000Z | src/jrtts/GlowTTS/Networks/build_model.py | tosaka-m/japanese_realtime_tts | f278005e6b79ecb975a6dc476aef3394a46214b3 | [
"MIT"
] | null | null | null | src/jrtts/GlowTTS/Networks/build_model.py | tosaka-m/japanese_realtime_tts | f278005e6b79ecb975a6dc476aef3394a46214b3 | [
"MIT"
] | null | null | null | #coding:utf-8
import torch
from torch import nn
from .models import FlowGenerator
| 27.208333 | 78 | 0.67075 |
459604032bfdd5cf9d1499eab90812831118e9c0 | 5,387 | py | Python | layers.py | xiangsheng1325/fastgae_pytorch | 97592f2ac064aab99db9a6fec3f6757573a8db7d | [
"MIT"
] | 8 | 2021-01-18T03:14:35.000Z | 2022-03-28T08:35:15.000Z | layers.py | xiangsheng1325/fastgae_pytorch | 97592f2ac064aab99db9a6fec3f6757573a8db7d | [
"MIT"
] | null | null | null | layers.py | xiangsheng1325/fastgae_pytorch | 97592f2ac064aab99db9a6fec3f6757573a8db7d | [
"MIT"
] | 1 | 2022-03-20T09:48:46.000Z | 2022-03-20T09:48:46.000Z | import torch, math, copy
import scipy.sparse as sp
import numpy as np
from torch.nn.modules.module import Module
import torch.nn as nn
from torch.nn.parameter import Parameter
#def sp_diag(sp_tensor):
# sp_tensor = sp_tensor.to_dense()
# sp_array = sp_tensor.to('cpu').numpy()
# sp_diags = sp.... | 36.646259 | 92 | 0.599963 |
45975eff20d2603fa6353e7112b6096bd8544f29 | 1,532 | py | Python | common/db.py | levinster82/GaragePi | 873f8dbe6a6abdd64095426fa14392d0bb7e66df | [
"MIT"
] | 34 | 2016-01-07T19:38:45.000Z | 2022-03-29T07:32:14.000Z | common/db.py | levinster82/GaragePi | 873f8dbe6a6abdd64095426fa14392d0bb7e66df | [
"MIT"
] | 17 | 2016-06-09T22:54:09.000Z | 2021-05-14T07:14:34.000Z | common/db.py | levinster82/GaragePi | 873f8dbe6a6abdd64095426fa14392d0bb7e66df | [
"MIT"
] | 25 | 2016-07-06T15:55:43.000Z | 2022-03-31T06:20:04.000Z | import os
from sqlite3 import dbapi2 as sqlite3
| 37.365854 | 141 | 0.63577 |
459906e9c61347117a3af63208abe4d1417e1da0 | 541 | py | Python | environments/migrations/0003_auto_20201228_1616.py | Teosidonio/Data_Solution | 94a898b7939b3bdb0fe92df97aa833c1fc7394a3 | [
"MIT"
] | null | null | null | environments/migrations/0003_auto_20201228_1616.py | Teosidonio/Data_Solution | 94a898b7939b3bdb0fe92df97aa833c1fc7394a3 | [
"MIT"
] | null | null | null | environments/migrations/0003_auto_20201228_1616.py | Teosidonio/Data_Solution | 94a898b7939b3bdb0fe92df97aa833c1fc7394a3 | [
"MIT"
] | null | null | null | # Generated by Django 3.1 on 2020-12-28 14:16
from django.db import migrations
| 23.521739 | 84 | 0.582255 |
459a1e6b7e0fdf087cd3f288de2eb4f069687538 | 722 | py | Python | code_all/day17/homework/exercise02.py | testcg/python | 4db4bd5d0e44af807d2df80cf8c8980b40cc03c4 | [
"MIT"
] | null | null | null | code_all/day17/homework/exercise02.py | testcg/python | 4db4bd5d0e44af807d2df80cf8c8980b40cc03c4 | [
"MIT"
] | null | null | null | code_all/day17/homework/exercise02.py | testcg/python | 4db4bd5d0e44af807d2df80cf8c8980b40cc03c4 | [
"MIT"
] | null | null | null | """
--> yield
"""
controller = CommodityController()
controller.add_commodity("")
controller.add_commodity("")
controller.add_commodity("")
for item in controller:
print(item)
# iterator = controller.__iter__()
# while True:
# try:
# item = iterator.__next__()
# print(item)
# except... | 19 | 38 | 0.621884 |
459aedab06142ccd615ef56d1e0a1e0074661927 | 712 | py | Python | src/reporter/reporter/reports/estimate.py | tomasfarias/pipeline | e32f1d34fef1cc9fb534e244e71f41276a979002 | [
"MIT"
] | 1 | 2019-12-24T05:50:38.000Z | 2019-12-24T05:50:38.000Z | src/reporter/reporter/reports/estimate.py | tomasfarias/pipeline | e32f1d34fef1cc9fb534e244e71f41276a979002 | [
"MIT"
] | 3 | 2021-08-08T19:52:05.000Z | 2021-08-08T19:52:06.000Z | src/reporter/reporter/reports/estimate.py | tomasfarias/pipeline | e32f1d34fef1cc9fb534e244e71f41276a979002 | [
"MIT"
] | null | null | null | import pandas as pd
from reporter.report import Report
| 26.37037 | 83 | 0.532303 |
459b244b831dbaca46e8bc6cd6ce8c182a965598 | 75 | py | Python | icls/models/resnet/resnet_test.py | TaikiInoue/iClassification | 7045c7721c9ee86e3823b13722d22b6c0095b76a | [
"MIT"
] | null | null | null | icls/models/resnet/resnet_test.py | TaikiInoue/iClassification | 7045c7721c9ee86e3823b13722d22b6c0095b76a | [
"MIT"
] | null | null | null | icls/models/resnet/resnet_test.py | TaikiInoue/iClassification | 7045c7721c9ee86e3823b13722d22b6c0095b76a | [
"MIT"
] | null | null | null | from torchvision.models import resnet50
model = resnet50(pretrained=True)
| 18.75 | 39 | 0.826667 |
459c03c8888c050fd9ced363ad52f606db8a1218 | 2,328 | py | Python | core/templatetags/core_menu.py | baxtea/pipeline | 0cbdd4b3ee6d05611e1d3ed5a4936f597182e963 | [
"MIT"
] | 18 | 2018-11-14T21:52:33.000Z | 2022-03-23T08:10:54.000Z | core/templatetags/core_menu.py | baxtea/pipeline | 0cbdd4b3ee6d05611e1d3ed5a4936f597182e963 | [
"MIT"
] | 83 | 2018-09-21T16:08:51.000Z | 2022-03-27T20:31:05.000Z | core/templatetags/core_menu.py | baxtea/pipeline | 0cbdd4b3ee6d05611e1d3ed5a4936f597182e963 | [
"MIT"
] | 6 | 2019-09-27T20:50:54.000Z | 2020-06-12T14:07:38.000Z | from django import template
from core.models import (
ArticlesIndexPage,
ArticlePage,
StaffPage,
CandidatePage,
ElectionIndexPage,
)
from home.models import HomePage
register = template.Library()
# Retrieves the top menu items - the immediate children of the parent page
# The has_menu_children ... | 32.788732 | 82 | 0.676117 |
459d4f106f5448c3e38cc2b536e47e739b25817d | 11,195 | py | Python | onmt/modules/UniversalTransformer/Layers.py | esalesky/NMTGMinor | b6eafff21f5aabb874720e6df30cd6b91c339a7c | [
"MIT"
] | 5 | 2020-05-25T01:11:51.000Z | 2021-02-18T08:55:43.000Z | onmt/modules/UniversalTransformer/Layers.py | esalesky/NMTGMinor | b6eafff21f5aabb874720e6df30cd6b91c339a7c | [
"MIT"
] | null | null | null | onmt/modules/UniversalTransformer/Layers.py | esalesky/NMTGMinor | b6eafff21f5aabb874720e6df30cd6b91c339a7c | [
"MIT"
] | 1 | 2020-12-13T07:41:33.000Z | 2020-12-13T07:41:33.000Z | import math
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.init as init
import torch.nn.utils.weight_norm as WeightNorm
import onmt
import torch.nn.functional as F
from onmt.modules.Bottle import Bottle
from onmt.modules.Transformer.Layers import XavierLinear, MultiHeadAttentio... | 38.737024 | 156 | 0.617329 |
459e672376134fe4df8011810380fe61fed6944e | 1,530 | py | Python | upload_folder_to_root.py | cbhramar/Google-Drive-APIs-in-Python | 72b25721a88aa14d75ab529011181b7cee80e5e2 | [
"MIT"
] | null | null | null | upload_folder_to_root.py | cbhramar/Google-Drive-APIs-in-Python | 72b25721a88aa14d75ab529011181b7cee80e5e2 | [
"MIT"
] | null | null | null | upload_folder_to_root.py | cbhramar/Google-Drive-APIs-in-Python | 72b25721a88aa14d75ab529011181b7cee80e5e2 | [
"MIT"
] | null | null | null | from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from oauth2client.client import OAuth2Credentials
import json
import sys
import os
LOCAL_FOLDER_NAME='h5downloads'
if __name__ == '__main__':
if len(sys.argv) == 1:
upload_folder_to_root()
elif len(sys.argv) == 2:
upload... | 31.875 | 77 | 0.688889 |
459f50da0f5e27af8527dfe49afeda2568f40a0c | 2,935 | py | Python | Server/app.py | AkashSasank/Covid-19-X-ray-scanner | dc4e4ab8258a40c7209a120cb75c51b3ad68d145 | [
"MIT"
] | 1 | 2020-12-31T06:34:08.000Z | 2020-12-31T06:34:08.000Z | Server/app.py | AkashSasank/Covid-19-X-ray-scanner | dc4e4ab8258a40c7209a120cb75c51b3ad68d145 | [
"MIT"
] | null | null | null | Server/app.py | AkashSasank/Covid-19-X-ray-scanner | dc4e4ab8258a40c7209a120cb75c51b3ad68d145 | [
"MIT"
] | null | null | null | import os
from flask import Flask, render_template, request, redirect, url_for, \
make_response # These are all we need for our purposes
from flask_cors import CORS
import tensorflow as tf
from keras.preprocessing.image import load_img, img_to_array
from werkzeug.utils import secure_filename
from ML.utils impor... | 33.352273 | 119 | 0.632368 |
459f5157ab1931fdcbdbea8249e936a2e4eee079 | 332 | py | Python | _fred-v1/fred/endpoints/shutdown.py | elviva404/frontend-regression-validator | 21df2a127712bdf0688dc9aedf478c6a2a90a3c3 | [
"ECL-2.0",
"Apache-2.0"
] | 70 | 2019-09-16T13:30:49.000Z | 2022-02-25T17:46:23.000Z | _fred-v1/fred/endpoints/shutdown.py | elviva404/frontend-regression-validator | 21df2a127712bdf0688dc9aedf478c6a2a90a3c3 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-01-13T09:15:47.000Z | 2020-07-29T11:49:25.000Z | _fred-v1/fred/endpoints/shutdown.py | elviva404/frontend-regression-validator | 21df2a127712bdf0688dc9aedf478c6a2a90a3c3 | [
"ECL-2.0",
"Apache-2.0"
] | 10 | 2019-10-06T08:22:05.000Z | 2022-02-03T18:45:08.000Z | from flask_restful import Resource
from flask import request
| 27.666667 | 70 | 0.683735 |
459fe7e7898bb17af2c0a9177f991a1f10c9ca46 | 1,555 | py | Python | module/object/sql.py | arvin-chou/mc | b82305a4a91fe6150caa5423205a0798f3815724 | [
"MIT"
] | null | null | null | module/object/sql.py | arvin-chou/mc | b82305a4a91fe6150caa5423205a0798f3815724 | [
"MIT"
] | null | null | null | module/object/sql.py | arvin-chou/mc | b82305a4a91fe6150caa5423205a0798f3815724 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from sqlalchemy import Table, Column, Integer, String, MetaData, \
ForeignKey, DateTime, UniqueConstraint
from config.config import _logging, metadata
from .model import ObjectsIpaddrs, ObjectsIpgroups
from .__init__ import __objects_ipaddrs_ipgroups_tablename__, \
__objects_ip... | 38.875 | 86 | 0.730547 |
45a076569b4ca7968147de86328747e7fa0b3846 | 1,286 | py | Python | instaclient/instagram/postmedia.py | pthalin/instaclient | 7800c641db3b5f81d0b171b6c131752502023fc5 | [
"MIT"
] | null | null | null | instaclient/instagram/postmedia.py | pthalin/instaclient | 7800c641db3b5f81d0b171b6c131752502023fc5 | [
"MIT"
] | null | null | null | instaclient/instagram/postmedia.py | pthalin/instaclient | 7800c641db3b5f81d0b171b6c131752502023fc5 | [
"MIT"
] | null | null | null | from typing import Optional, List, TYPE_CHECKING
if TYPE_CHECKING:
from instaclient.client.instaclient import InstaClient
from instaclient.instagram.instaobject import InstaBaseObject | 31.365854 | 61 | 0.671073 |
45a1215c7fb379ec9d3e7cd1d0925e710f781704 | 1,117 | py | Python | source/server/annotation/migrations/0002_auto_20200622_0656.py | shizacat/shanno | e370dc1bf8a884d8ee5538b702b39275751e5f5d | [
"MIT"
] | 1 | 2020-08-27T12:48:47.000Z | 2020-08-27T12:48:47.000Z | source/server/annotation/migrations/0002_auto_20200622_0656.py | shizacat/shanno | e370dc1bf8a884d8ee5538b702b39275751e5f5d | [
"MIT"
] | 5 | 2021-03-30T12:56:24.000Z | 2021-06-27T17:42:28.000Z | source/server/annotation/migrations/0002_auto_20200622_0656.py | shizacat/shanno | e370dc1bf8a884d8ee5538b702b39275751e5f5d | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-06-22 06:56
from django.db import migrations, models
import django.db.models.deletion
| 36.032258 | 148 | 0.605192 |
45a398c3801e0cae9986d9b12a66be8c29607231 | 439 | py | Python | setup.py | GiorgioBalestrieri/renewables-ninja-client | 5c068f07e0e8e972f8802fd0b3ed28466bbf8c23 | [
"MIT"
] | 1 | 2020-05-27T14:15:00.000Z | 2020-05-27T14:15:00.000Z | setup.py | GiorgioBalestrieri/renewables-ninja-client | 5c068f07e0e8e972f8802fd0b3ed28466bbf8c23 | [
"MIT"
] | 1 | 2020-05-27T14:27:29.000Z | 2020-05-27T14:27:29.000Z | setup.py | GiorgioBalestrieri/renewables-ninja-client | 5c068f07e0e8e972f8802fd0b3ed28466bbf8c23 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name = "renewables_ninja_client",
version = "0.1.0",
description = ("Client for Renewables Ninja API."),
author = ["Giorgio Balestrieri"],
packages = find_packages(exclude=[
"docs", "tests", "examples",
"sandbox", "scripts"]),
... | 27.4375 | 55 | 0.587699 |
45a434893b809e66ad61ea906d250e906d94a42d | 5,446 | py | Python | pysigep/correios/__init__.py | primeschool-it/trustcode-pysigep | 45f845cce385e3682e897948af8f98e19eec696d | [
"MIT"
] | null | null | null | pysigep/correios/__init__.py | primeschool-it/trustcode-pysigep | 45f845cce385e3682e897948af8f98e19eec696d | [
"MIT"
] | null | null | null | pysigep/correios/__init__.py | primeschool-it/trustcode-pysigep | 45f845cce385e3682e897948af8f98e19eec696d | [
"MIT"
] | 1 | 2021-12-17T10:30:52.000Z | 2021-12-17T10:30:52.000Z | # -*- coding: utf-8 -*-
# 2016 Alessandro Fernandes Martini, Trustcode
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
# #############################################################################
#
# Brazillian Carrier Correios Sigep WEB
# Copyright (C) 2015 KMEE (http://www.kmee.com.br)... | 40.044118 | 83 | 0.622292 |
45a5d652cf5968d8ff355947ff4f952cf9d7e299 | 1,408 | py | Python | urls.py | enisimsar/watchtower-news | 222d2e52e76ef32ebb78eb325f4c32b64c0ba1a6 | [
"MIT"
] | 2 | 2019-02-21T18:29:09.000Z | 2021-01-27T14:52:46.000Z | urls.py | enisimsar/watchtower-news | 222d2e52e76ef32ebb78eb325f4c32b64c0ba1a6 | [
"MIT"
] | 3 | 2018-11-22T08:34:04.000Z | 2021-06-01T22:47:19.000Z | urls.py | enisimsar/watchtower-news | 222d2e52e76ef32ebb78eb325f4c32b64c0ba1a6 | [
"MIT"
] | 1 | 2019-06-13T10:45:46.000Z | 2019-06-13T10:45:46.000Z | """
Endpoints
"""
from handlers.auth import UserHandler, AuthHandler
from handlers.base import StaticHandler
from handlers.invitations import InvitationHandler, InvitationsHandler, InvitationPostHandler
from handlers.logs import LogHandler, LogsHandler
from handlers.swagger import SwaggerHandler
from handlers.topics im... | 26.566038 | 93 | 0.666903 |
45a5dd444dba72a08ec81120f4521eb550ac09a2 | 1,757 | py | Python | src/compose.py | vimc/montagu | c9682b3e57cf25e75b5b7688f748c8dbe882666d | [
"MIT"
] | null | null | null | src/compose.py | vimc/montagu | c9682b3e57cf25e75b5b7688f748c8dbe882666d | [
"MIT"
] | 59 | 2017-07-28T09:27:15.000Z | 2021-11-01T17:16:59.000Z | src/compose.py | vimc/montagu | c9682b3e57cf25e75b5b7688f748c8dbe882666d | [
"MIT"
] | 1 | 2020-09-23T11:08:34.000Z | 2020-09-23T11:08:34.000Z | from subprocess import Popen
from docker_helpers import montagu_registry
import shutil
import versions
| 26.223881 | 93 | 0.663631 |
45a6463ce5c3af0a8d920e0f6fb362535e3511bb | 5,234 | py | Python | bread/layout/components/notification.py | tpokorra/bread | 6e6d0f91275ef5e580ad4fa0626472d3c2b5705b | [
"BSD-3-Clause"
] | null | null | null | bread/layout/components/notification.py | tpokorra/bread | 6e6d0f91275ef5e580ad4fa0626472d3c2b5705b | [
"BSD-3-Clause"
] | null | null | null | bread/layout/components/notification.py | tpokorra/bread | 6e6d0f91275ef5e580ad4fa0626472d3c2b5705b | [
"BSD-3-Clause"
] | null | null | null | import datetime
import htmlgenerator
from django.utils.translation import gettext as _
from .button import Button
from .icon import Icon
KIND_ICON_MAPPING = {
"error": "error--filled",
"info": "information--filled",
"info-square": "information--square--filled",
"success": "checkmark--filled",
"wa... | 33.126582 | 123 | 0.509553 |
45a8c0e961f64f8351c00134142cfebe4ed805f4 | 388 | py | Python | Desafio53.py | VictorCastao/Curso-em-Video-Python | aeee8baaa73c04b839a27ae37ba24ecc0b863075 | [
"MIT"
] | null | null | null | Desafio53.py | VictorCastao/Curso-em-Video-Python | aeee8baaa73c04b839a27ae37ba24ecc0b863075 | [
"MIT"
] | null | null | null | Desafio53.py | VictorCastao/Curso-em-Video-Python | aeee8baaa73c04b839a27ae37ba24ecc0b863075 | [
"MIT"
] | null | null | null | print('=' * 12 + 'Desafio 53' + '=' * 12)
frase = input('Digite sua frase: ')
frase = frase.strip().replace(" ","").upper()
tamanho = len(frase)
contador = 0
igual = 0
for i in range(tamanho - 1, -1, -1):
if frase[contador] == frase[i]:
igual += 1
contador += 1
if contador == tamanho:
print('A frase... | 25.866667 | 45 | 0.587629 |
45a932ed0daa8d90eab54ad2fe63256555a33c87 | 2,777 | py | Python | example/pytorch/run.py | alibaba/sionnx | 3f3e18826ddcc26402b4e2af96ca8aac15560456 | [
"Apache-2.0"
] | 34 | 2019-05-29T03:15:48.000Z | 2022-03-24T03:14:58.000Z | example/pytorch/run.py | alibaba/sionnx | 3f3e18826ddcc26402b4e2af96ca8aac15560456 | [
"Apache-2.0"
] | 1 | 2020-05-21T11:44:22.000Z | 2020-05-21T11:44:22.000Z | example/pytorch/run.py | alibaba/sionnx | 3f3e18826ddcc26402b4e2af96ca8aac15560456 | [
"Apache-2.0"
] | 4 | 2019-12-16T18:49:42.000Z | 2021-10-11T18:41:54.000Z | #*
#* Copyright (C) 2017-2019 Alibaba Group Holding Limited
#*
#* 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 ... | 35.151899 | 100 | 0.673749 |
45a961e0e1f604b60a477e34ad903c8057c5ec23 | 877 | py | Python | scripts/ipu/callbacks.py | BastienArcelin/IPU-GPU | dde946686478ce77a06821a1517b5b8206ab8de9 | [
"BSD-3-Clause"
] | null | null | null | scripts/ipu/callbacks.py | BastienArcelin/IPU-GPU | dde946686478ce77a06821a1517b5b8206ab8de9 | [
"BSD-3-Clause"
] | null | null | null | scripts/ipu/callbacks.py | BastienArcelin/IPU-GPU | dde946686478ce77a06821a1517b5b8206ab8de9 | [
"BSD-3-Clause"
] | null | null | null | import sys, os
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.keras.callbacks import Callback, ReduceLROnPlateau, TerminateOnNaN, ModelCheckpoint
import tensorflow.keras.backend as K
import tensorflow as tf
import time
###### Callbacks
# Create a callback to compute time spent between 10th and 110t... | 31.321429 | 99 | 0.616876 |
45a9f4fd71c58a688f030ddcf7a969454a4a8652 | 1,400 | py | Python | ag/tests/test_metrics.py | justyre/jus | 1339c010ac4499c253061d2cce5e638ec06062bd | [
"MIT"
] | null | null | null | ag/tests/test_metrics.py | justyre/jus | 1339c010ac4499c253061d2cce5e638ec06062bd | [
"MIT"
] | null | null | null | ag/tests/test_metrics.py | justyre/jus | 1339c010ac4499c253061d2cce5e638ec06062bd | [
"MIT"
] | null | null | null | """Unit tests for the metrics module."""
import pytest
from forest import metrics
def test_counter():
"""Test counter."""
counter = metrics.Counter()
counter.increase()
assert counter.count == 1
counter.increase(10)
assert counter.count == 11
counter.decrease()
assert c... | 28.571429 | 87 | 0.642143 |
45aa3b7da60de08d1a053fb874e8708de93af93e | 1,280 | py | Python | appmap/test/conftest.py | calvinsomething/appmap-python | 7234f7cdb240eadfa74a1e6021bc8695ceb60179 | [
"MIT"
] | null | null | null | appmap/test/conftest.py | calvinsomething/appmap-python | 7234f7cdb240eadfa74a1e6021bc8695ceb60179 | [
"MIT"
] | null | null | null | appmap/test/conftest.py | calvinsomething/appmap-python | 7234f7cdb240eadfa74a1e6021bc8695ceb60179 | [
"MIT"
] | null | null | null | import importlib
import pytest
import yaml
import appmap._implementation
from appmap._implementation.env import Env
from appmap._implementation.recording import Recorder
| 27.826087 | 82 | 0.714844 |
45aa576cd9312ff2a881e945aab29cabb485ed59 | 7,097 | py | Python | occ_sim/animation.py | refmitchell/dcidb-supplemental-repository | 44af88de1a51e61ee3b19eaf8823fe7e79d17a12 | [
"MIT"
] | null | null | null | occ_sim/animation.py | refmitchell/dcidb-supplemental-repository | 44af88de1a51e61ee3b19eaf8823fe7e79d17a12 | [
"MIT"
] | null | null | null | occ_sim/animation.py | refmitchell/dcidb-supplemental-repository | 44af88de1a51e61ee3b19eaf8823fe7e79d17a12 | [
"MIT"
] | null | null | null | """
animation.py
This script is used to procduce animations of population behaviour
over a range of changing conditions. For example, if we wanted to
see how a population would change as light was elevated and wind
kept constant, we could produce the animation and watch the
general trend. This was mostly useful for vi... | 36.772021 | 122 | 0.610681 |
45acd3a5f2cd6ccaa0b7e6db6bf65eb041445b32 | 285 | py | Python | Day18/turtle_dashed_line.py | CodePuzzler/100-Days-Of-Code-Python | 4f6da9dabc73f747266ce0e66057d10754ecc54e | [
"MIT"
] | null | null | null | Day18/turtle_dashed_line.py | CodePuzzler/100-Days-Of-Code-Python | 4f6da9dabc73f747266ce0e66057d10754ecc54e | [
"MIT"
] | null | null | null | Day18/turtle_dashed_line.py | CodePuzzler/100-Days-Of-Code-Python | 4f6da9dabc73f747266ce0e66057d10754ecc54e | [
"MIT"
] | null | null | null | # Day18 of my 100DaysOfCode Challenge
# Draw a dashed line using Turtle Graphics
from turtle import Turtle, Screen
groot = Turtle()
for _ in range(15):
groot.forward(10)
groot.penup()
groot.forward(10)
groot.pendown()
my_screen = Screen()
my_screen.exitonclick()
| 15.833333 | 42 | 0.708772 |
45addf929fefc716794fc0840e1e7815bf960f1d | 5,142 | py | Python | src/rxn_network/reactions/open.py | GENESIS-EFRC/reaction-network | 1482ac1b6b550a5bc9961e9210e33c86c07f64cf | [
"BSD-3-Clause-LBNL"
] | 29 | 2020-08-04T07:07:04.000Z | 2022-02-22T22:09:20.000Z | src/rxn_network/reactions/open.py | GENESIS-EFRC/reaction-network | 1482ac1b6b550a5bc9961e9210e33c86c07f64cf | [
"BSD-3-Clause-LBNL"
] | 70 | 2021-02-22T07:01:40.000Z | 2022-03-31T20:11:56.000Z | src/rxn_network/reactions/open.py | GENESIS-EFRC/reaction-network | 1482ac1b6b550a5bc9961e9210e33c86c07f64cf | [
"BSD-3-Clause-LBNL"
] | 3 | 2021-04-20T09:29:39.000Z | 2022-02-02T17:43:52.000Z | """
A reaction class that builds reactions based on ComputedEntry objects under the
presence of an open entry (e.g. O2), and provides information about reaction
thermodynamics computed as changes in grand potential.
"""
from typing import Dict, List, Optional, Union
import numpy as np
from pymatgen.analysis.phase_di... | 29.215909 | 87 | 0.586153 |