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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c6e9c16512d69ea6fa5eab9288773894d5292bcf | 102 | py | Python | garage/utils/LED-on.py | 1337DS/SmartGarage | 1be4ad010653fc358e59417a26cd34e2146bdbf7 | [
"Apache-2.0"
] | 1 | 2022-02-09T10:36:43.000Z | 2022-02-09T10:36:43.000Z | garage/utils/LED-on.py | 1337DS/SmartGarage | 1be4ad010653fc358e59417a26cd34e2146bdbf7 | [
"Apache-2.0"
] | null | null | null | garage/utils/LED-on.py | 1337DS/SmartGarage | 1be4ad010653fc358e59417a26cd34e2146bdbf7 | [
"Apache-2.0"
] | null | null | null | import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(26, GPIO.OUT)
GPIO.output(26, GPIO.HIGH)
| 12.75 | 26 | 0.735294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c6eb3b19d050576ce9764d0276a806ecdcc82b5f | 2,456 | py | Python | experiments/bayesopt/run_direct_surrogate.py | lebrice/RoBO | 0cb58a1622d3a540f7714b239f0cedf048b6fd9f | [
"BSD-3-Clause"
] | 455 | 2015-04-02T06:12:13.000Z | 2022-02-28T10:54:29.000Z | experiments/bayesopt/run_direct_surrogate.py | lebrice/RoBO | 0cb58a1622d3a540f7714b239f0cedf048b6fd9f | [
"BSD-3-Clause"
] | 66 | 2015-04-07T15:20:55.000Z | 2021-06-04T16:40:46.000Z | experiments/bayesopt/run_direct_surrogate.py | lebrice/RoBO | 0cb58a1622d3a540f7714b239f0cedf048b6fd9f | [
"BSD-3-Clause"
] | 188 | 2015-04-14T09:42:34.000Z | 2022-03-31T21:04:53.000Z | import os
import sys
import DIRECT
import json
import numpy as np
from hpolib.benchmarks.ml.surrogate_svm import SurrogateSVM
from hpolib.benchmarks.ml.surrogate_cnn import SurrogateCNN
from hpolib.benchmarks.ml.surrogate_fcnet import SurrogateFCNet
run_id = int(sys.argv[1])
benchmark = sys.argv[2]
n_iters = 50
n_i... | 24.078431 | 74 | 0.678339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.229235 |
c6eb612c8a8c4eac0f2f977fa8c04f601c65f1a7 | 1,197 | py | Python | calls/delete_call_feedback_summary.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | 1 | 2018-11-23T20:11:27.000Z | 2018-11-23T20:11:27.000Z | calls/delete_call_feedback_summary.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | null | null | null | calls/delete_call_feedback_summary.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | null | null | null | # *** Delete Call Feedback Summary ***
# Code based on https://www.twilio.com/docs/voice/api/call-quality-feedback
# Download Python 3 from https://www.python.org/downloads/
# Download the Twilio helper library from https://www.twilio.com/docs/python/install
import os
from twilio.rest import Client
# from datetime impo... | 44.333333 | 114 | 0.734336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 833 | 0.695906 |
c6f0d37f8bd7df7e6ea000ba0009d2402adc88b8 | 8,523 | py | Python | z42/z42/web/boot/css_js.py | jumploop/collection_python | f66f18dc5ae50fce95679e0f4aee5e28b2543432 | [
"MIT"
] | null | null | null | z42/z42/web/boot/css_js.py | jumploop/collection_python | f66f18dc5ae50fce95679e0f4aee5e28b2543432 | [
"MIT"
] | null | null | null | z42/z42/web/boot/css_js.py | jumploop/collection_python | f66f18dc5ae50fce95679e0f4aee5e28b2543432 | [
"MIT"
] | null | null | null | # coding:utf-8
import _env
from os.path import join, dirname, abspath, exists, splitext
from os import walk, mkdir, remove, makedirs
from collections import defaultdict
from hashlib import md5
from glob import glob
from base64 import urlsafe_b64encode
import envoy
import os
from tempfile import mktemp
from json import... | 30.010563 | 96 | 0.516837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,804 | 0.211663 |
c6f1e3f027d95fbea317bf8aa4166e874befc948 | 5,693 | py | Python | controllers/transactions_controller.py | JeremyCodeClan/spentrack_project | 455074446b5b335ea77933c80c43745fcad1171c | [
"MIT"
] | null | null | null | controllers/transactions_controller.py | JeremyCodeClan/spentrack_project | 455074446b5b335ea77933c80c43745fcad1171c | [
"MIT"
] | null | null | null | controllers/transactions_controller.py | JeremyCodeClan/spentrack_project | 455074446b5b335ea77933c80c43745fcad1171c | [
"MIT"
] | null | null | null | from flask import Blueprint, Flask, render_template, request, redirect
from models.transaction import Transaction
import repositories.transaction_repository as transaction_repo
import repositories.merchant_repository as merchant_repo
import repositories.tag_repository as tag_repo
transactions_blueprint = Blueprint("t... | 40.664286 | 129 | 0.657298 | 0 | 0 | 0 | 0 | 5,336 | 0.937291 | 0 | 0 | 748 | 0.131389 |
c6f1fc0edc1a1464fe8ec814304b412c4369a1d8 | 86,261 | py | Python | Welcomer 6.20/modules/core.py | TheRockettek/Welcomer | 60706b4d6eec7d4f2500b3acc37530e42d846532 | [
"MIT"
] | 12 | 2019-09-10T21:31:51.000Z | 2022-01-21T14:31:05.000Z | Welcomer 6.20/modules/core.py | TheRockettek/Welcomer | 60706b4d6eec7d4f2500b3acc37530e42d846532 | [
"MIT"
] | null | null | null | Welcomer 6.20/modules/core.py | TheRockettek/Welcomer | 60706b4d6eec7d4f2500b3acc37530e42d846532 | [
"MIT"
] | 1 | 2021-09-17T09:03:54.000Z | 2021-09-17T09:03:54.000Z | import asyncio
import copy
import csv
import io
import math
from math import inf
import os
import sys
import time
import traceback
import logging
from importlib import reload
from datetime import datetime
import logging
import aiohttp
import discord
import requests
import json
import ujson
from discord.ext import comm... | 42.222712 | 327 | 0.48417 | 83,971 | 0.973453 | 0 | 0 | 10,273 | 0.119092 | 69,497 | 0.80566 | 25,247 | 0.292682 |
c6f49b93679334772aa9bf531c4d72e0b150e6e1 | 1,225 | py | Python | evalml/tests/data_checks_tests/test_utils.py | Mahesh1822/evalml | aa0ec2379aeba12bbd0dcaaa000f9a2a62064169 | [
"BSD-3-Clause"
] | null | null | null | evalml/tests/data_checks_tests/test_utils.py | Mahesh1822/evalml | aa0ec2379aeba12bbd0dcaaa000f9a2a62064169 | [
"BSD-3-Clause"
] | 1 | 2022-02-19T12:59:09.000Z | 2022-02-19T12:59:09.000Z | evalml/tests/data_checks_tests/test_utils.py | Mahesh1822/evalml | aa0ec2379aeba12bbd0dcaaa000f9a2a62064169 | [
"BSD-3-Clause"
] | null | null | null | import pytest
from evalml.data_checks import DataCheckActionCode
from evalml.data_checks.utils import handle_data_check_action_code
from evalml.problem_types import ProblemTypes
def test_handle_action_code_errors():
with pytest.raises(KeyError, match="Action code 'dropping cols' does not"):
handle_data_c... | 34.027778 | 99 | 0.755102 | 0 | 0 | 0 | 0 | 461 | 0.376327 | 0 | 0 | 291 | 0.237551 |
c6f503162b0ef4701efc6276ebdf2a288cdafb1f | 3,480 | py | Python | figures/bothspectra.py | DanielAndreasen/Paper-updated-nir-linelist | a4094a1d73a58c1ee1597c6df8a11b0b9ce17777 | [
"MIT"
] | null | null | null | figures/bothspectra.py | DanielAndreasen/Paper-updated-nir-linelist | a4094a1d73a58c1ee1597c6df8a11b0b9ce17777 | [
"MIT"
] | null | null | null | figures/bothspectra.py | DanielAndreasen/Paper-updated-nir-linelist | a4094a1d73a58c1ee1597c6df8a11b0b9ce17777 | [
"MIT"
] | null | null | null | from astropy.io import fits
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('ticks')
sns.set_context('paper', font_scale=1.7)
from plot_fits import get_wavelength, dopplerShift
from scipy.interpolate import interp1d
plt.rcParams['xtick.direction'] = 'in'
"""
Compare the spectrum ... | 31.926606 | 70 | 0.561494 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 439 | 0.126149 |
c6f5b57e9157f7c17bb6f3082af0b5d89d425e82 | 298 | py | Python | main.py | pesikj/DataAnalysisUsingPython | 00269a7a7b5388fbbdcf3ddadd951a80a07f9c3a | [
"MIT"
] | null | null | null | main.py | pesikj/DataAnalysisUsingPython | 00269a7a7b5388fbbdcf3ddadd951a80a07f9c3a | [
"MIT"
] | null | null | null | main.py | pesikj/DataAnalysisUsingPython | 00269a7a7b5388fbbdcf3ddadd951a80a07f9c3a | [
"MIT"
] | null | null | null | from statistical_hypothesis_testing.plots import plots_z_test
from statistical_hypothesis_testing.tails import Tail
#plots_z_test.create_critical_region_plot(alphas=[0.1, 0.05, 0.01], tails=Tail.RIGHT_TAILED)
plots_z_test.create_p_value_plot(0.5109,alpha=0.05,lang='cs', tails=Tail.RIGHT_TAILED)
| 42.571429 | 92 | 0.842282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.322148 |
c6f5b6dd280b07a2399dbf6e91ec39c3acaaae3c | 3,471 | py | Python | projects/migrations/0001_initial.py | Zefarak/illidius_plan | 78dd9cc4da374ff88fc507e4870712d87e9ff6c3 | [
"MIT"
] | 1 | 2019-02-18T14:31:57.000Z | 2019-02-18T14:31:57.000Z | projects/migrations/0001_initial.py | Zefarak/illidius_plan | 78dd9cc4da374ff88fc507e4870712d87e9ff6c3 | [
"MIT"
] | null | null | null | projects/migrations/0001_initial.py | Zefarak/illidius_plan | 78dd9cc4da374ff88fc507e4870712d87e9ff6c3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2017-07-21 04:59
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import django.db.models.manager
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operatio... | 47.547945 | 141 | 0.589455 | 3,250 | 0.93633 | 0 | 0 | 0 | 0 | 0 | 0 | 679 | 0.195621 |
c6f6ce9055d1d8634c3084a055d492122c9b4918 | 1,818 | py | Python | EnumLasso/paper/paper_thaliana.py | t-basa/LassoVariants | ead33ac83de19865a9553dbdda9a28aa5c781e44 | [
"MIT"
] | 12 | 2016-11-30T04:39:18.000Z | 2021-09-11T13:57:37.000Z | EnumLasso/paper/paper_thaliana.py | t-basa/LassoVariants | ead33ac83de19865a9553dbdda9a28aa5c781e44 | [
"MIT"
] | 2 | 2018-03-05T19:01:09.000Z | 2019-10-10T00:30:55.000Z | EnumLasso/paper/paper_thaliana.py | t-basa/LassoVariants | ead33ac83de19865a9553dbdda9a28aa5c781e44 | [
"MIT"
] | 6 | 2017-08-19T17:49:51.000Z | 2022-01-09T07:41:22.000Z | # -*- coding: utf-8 -*-
"""
@author: satohara
"""
import sys
sys.path.append('../')
import codecs
import numpy as np
import pandas as pd
from EnumerateLinearModel import EnumLasso
# data - x
fn = './data/call_method_32.b'
df = pd.read_csv(fn, sep=',', header=None)
data_id_x = np.array([int(v) for v in df.ix[1, 2:]])... | 24.90411 | 139 | 0.593509 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 404 | 0.222222 |
c6f74625e459f6cfa2aca2f74b48bf8881d4641b | 8,309 | py | Python | lib/backup_service_client/models/bucket.py | sumedhpb/testrunner | 9ff887231c75571624abc31a3fb5248110e01203 | [
"Apache-2.0"
] | 14 | 2015-02-06T02:47:57.000Z | 2020-03-14T15:06:05.000Z | lib/backup_service_client/models/bucket.py | sumedhpb/testrunner | 9ff887231c75571624abc31a3fb5248110e01203 | [
"Apache-2.0"
] | 3 | 2019-02-27T19:29:11.000Z | 2021-06-02T02:14:27.000Z | lib/backup_service_client/models/bucket.py | sumedhpb/testrunner | 9ff887231c75571624abc31a3fb5248110e01203 | [
"Apache-2.0"
] | 155 | 2018-11-13T14:57:07.000Z | 2022-03-28T11:53:22.000Z | # coding: utf-8
"""
Couchbase Backup Service API
This is REST API allows users to remotely schedule and run backups, restores and merges as well as to explore various archives for all there Couchbase Clusters. # noqa: E501
OpenAPI spec version: 0.1.0
Generated by: https://github.com/swagger-api... | 25.965625 | 178 | 0.563846 | 7,910 | 0.95198 | 0 | 0 | 4,095 | 0.492839 | 0 | 0 | 3,942 | 0.474425 |
c6f93b1caf13cee134c81078e57fec4a501c2e10 | 1,618 | py | Python | funciones/app.py | christophermontero/estima-tu-proyecto | 19f533be203c9ac2c4383ded5a1664dd1d05d679 | [
"MIT"
] | 2 | 2021-05-29T16:57:17.000Z | 2021-06-13T18:39:24.000Z | funciones/app.py | christophermontero/estima-tu-proyecto | 19f533be203c9ac2c4383ded5a1664dd1d05d679 | [
"MIT"
] | 22 | 2021-05-22T18:23:40.000Z | 2021-12-18T21:09:59.000Z | funciones/app.py | christophermontero/estima-tu-proyecto | 19f533be203c9ac2c4383ded5a1664dd1d05d679 | [
"MIT"
] | null | null | null | from flask import Flask, jsonify, request
from db import db_session, init_db
from model import Funcion
app = Flask(__name__)
app.config["JSONIFY_PRETTYPRINT_REGULAR"] = False
init_db()
@app.route("/funciones", methods=["POST"])
def create_funcion():
data = request.json
if data["nombreFuncion"] is None:
... | 25.68254 | 93 | 0.685414 | 0 | 0 | 0 | 0 | 1,346 | 0.831377 | 0 | 0 | 365 | 0.225448 |
c6f9a9602db33208c1f896b22af13200b9be42d9 | 309 | py | Python | onnx_script/check_onnx_model.py | abyssss52/pytorch-image-models | 6ed4124c610a73fc849e7e9567bc36cf5bf38ceb | [
"Apache-2.0"
] | null | null | null | onnx_script/check_onnx_model.py | abyssss52/pytorch-image-models | 6ed4124c610a73fc849e7e9567bc36cf5bf38ceb | [
"Apache-2.0"
] | null | null | null | onnx_script/check_onnx_model.py | abyssss52/pytorch-image-models | 6ed4124c610a73fc849e7e9567bc36cf5bf38ceb | [
"Apache-2.0"
] | null | null | null | import onnx
# Load the ONNX model
model = onnx.load("./mobilenetv2_new.onnx")
# model = onnx.load("../FaceAnti-Spoofing.onnx")
# Check that the IR is well formed
onnx.checker.check_model(model)
# Print a human readable representation of the graph
onnx.helper.printable_graph(model.graph)
print(model.graph)
| 25.75 | 52 | 0.76699 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.579288 |
c6fa00680fcfe377a498032a4d31cbf4682bc376 | 1,071 | py | Python | 2015/07/puzzle2.py | jsvennevid/adventofcode | c6d5e3e3a166ffad5e8a7cc829599f49607a1efe | [
"MIT"
] | null | null | null | 2015/07/puzzle2.py | jsvennevid/adventofcode | c6d5e3e3a166ffad5e8a7cc829599f49607a1efe | [
"MIT"
] | null | null | null | 2015/07/puzzle2.py | jsvennevid/adventofcode | c6d5e3e3a166ffad5e8a7cc829599f49607a1efe | [
"MIT"
] | null | null | null | import re
wires = {}
for i in open('day7.txt'):
set = re.match(r'([a-z0-9]+) -> ([a-z]+)',i)
if set:
wires[set.group(2)] = set.group(1)
op1 = re.match(r'(NOT) ([a-z0-9]+) -> ([a-z]+)',i)
if op1:
wires[op1.group(3)] = [op1.group(1), op1.group(2)]
op2 = re.match(r'([a-z0-9]+) (AND|OR|LSHIFT|RSHIFT) ([a-z0-9]+) ... | 31.5 | 80 | 0.5845 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 181 | 0.169001 |
c6fa99e51df1893798f6cb4d6c3cbd2091fbf05a | 7,167 | py | Python | src/visualization/plot_grid.py | davimnz/boa | 0546ad4df0ecabec1fd3beb1264cd0930dce13a9 | [
"MIT"
] | null | null | null | src/visualization/plot_grid.py | davimnz/boa | 0546ad4df0ecabec1fd3beb1264cd0930dce13a9 | [
"MIT"
] | null | null | null | src/visualization/plot_grid.py | davimnz/boa | 0546ad4df0ecabec1fd3beb1264cd0930dce13a9 | [
"MIT"
] | null | null | null | import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
import pandas as pd
from math import cos, radians
def shift_position(pos, x_shift, y_shift) -> dict:
"""
Moves nodes' position by (x_shift, y_shift)
"""
return {n: (x + x_shift, y + y_shift)... | 34.960976 | 76 | 0.635412 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,063 | 0.148277 |
c6fb2216661678548d14f34f7328e08d3f4c59ba | 1,254 | py | Python | my_project/urls.py | stripathi669/codepal-sample-login | f553cc7f7794dd20197b1df336ed7953ac7a62dc | [
"MIT"
] | 2 | 2017-04-23T08:54:09.000Z | 2017-12-19T17:51:38.000Z | my_project/urls.py | stripathi669/codepal-sample-login | f553cc7f7794dd20197b1df336ed7953ac7a62dc | [
"MIT"
] | null | null | null | my_project/urls.py | stripathi669/codepal-sample-login | f553cc7f7794dd20197b1df336ed7953ac7a62dc | [
"MIT"
] | 1 | 2019-10-01T17:51:13.000Z | 2019-10-01T17:51:13.000Z | """my_project URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class... | 32.153846 | 79 | 0.725678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 800 | 0.637959 |
c6fb42ccff41d5e02e75ca92305085547bd5ee39 | 3,870 | py | Python | datascripts/make_placescsv.py | NCI-NAACCR-Zone-Design/Louisiana | 42fb1d05c47ae01401ee3ac3cc68ff5e4f5d5c07 | [
"MIT"
] | null | null | null | datascripts/make_placescsv.py | NCI-NAACCR-Zone-Design/Louisiana | 42fb1d05c47ae01401ee3ac3cc68ff5e4f5d5c07 | [
"MIT"
] | 1 | 2020-03-05T23:20:38.000Z | 2020-03-10T18:03:31.000Z | datascripts/make_placescsv.py | NCI-NAACCR-Zone-Design/Louisiana | 42fb1d05c47ae01401ee3ac3cc68ff5e4f5d5c07 | [
"MIT"
] | null | null | null | #!/bin/env python3
from osgeo import ogr
import os
import csv
import settings
class PlacesIntersector:
def run(self):
print("PlacesIntersector")
self.reproject(settings.INPUT_ZONESFILE, settings.REPROJECTED_ZONESFILE, settings.CTAZONES_SHAPEFILE_IDFIELD, settings.CTAZONES_SHAPEFILE_NAMEFIELD)
... | 39.896907 | 156 | 0.62093 | 3,710 | 0.958656 | 0 | 0 | 0 | 0 | 0 | 0 | 1,217 | 0.31447 |
c6fd01691eb418ac4d1818fca0bd68461092ddaa | 580 | py | Python | Google/google_organic_results/google_organic_ads/google_regular_ads/serpapi_scrape_google_ads.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | Google/google_organic_results/google_organic_ads/google_regular_ads/serpapi_scrape_google_ads.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | Google/google_organic_results/google_organic_ads/google_regular_ads/serpapi_scrape_google_ads.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | # scrapes both regular and shopping ads (top, right blocks)
from serpapi import GoogleSearch
import json, os
params = {
"api_key": os.getenv("API_KEY"),
"engine": "google",
"q": "buy coffee",
"gl": "us",
"hl": "en"
}
search = GoogleSearch(params)
results = search.get_dict()
if results.get("ads",... | 22.307692 | 59 | 0.639655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 194 | 0.334483 |
c6fd244b6ad93e904d3cfe0db3dd28977bc63c93 | 3,316 | py | Python | tomomibot/commands/start.py | adzialocha/tomomibot | ed3964223bd63340f28d36daa014865f61aaf571 | [
"MIT"
] | 28 | 2018-07-26T09:47:32.000Z | 2022-01-24T10:38:13.000Z | tomomibot/commands/start.py | adzialocha/tomomibot | ed3964223bd63340f28d36daa014865f61aaf571 | [
"MIT"
] | null | null | null | tomomibot/commands/start.py | adzialocha/tomomibot | ed3964223bd63340f28d36daa014865f61aaf571 | [
"MIT"
] | 5 | 2018-08-11T08:07:23.000Z | 2021-12-23T14:47:40.000Z | import click
from tomomibot.cli import pass_context
from tomomibot.runtime import Runtime
from tomomibot.utils import check_valid_voice, check_valid_model
from tomomibot.const import (INTERVAL_SEC, INPUT_DEVICE, OUTPUT_CHANNEL,
INPUT_CHANNEL, OUTPUT_DEVICE, SAMPLE_RATE,
... | 39.011765 | 77 | 0.596803 | 0 | 0 | 0 | 0 | 2,829 | 0.853136 | 0 | 0 | 1,061 | 0.319964 |
059afd391bdb4d5d0ce5e8f183cba9cadeed7065 | 3,451 | py | Python | state/GameState.py | philippehenri-gosselin/tankgame | ceabbee7c348bfd4c95d2ee2ae0015d6d761154b | [
"X11"
] | 4 | 2020-09-15T02:00:39.000Z | 2021-05-11T17:23:28.000Z | state/GameState.py | philippehenri-gosselin/tankgame | ceabbee7c348bfd4c95d2ee2ae0015d6d761154b | [
"X11"
] | null | null | null | state/GameState.py | philippehenri-gosselin/tankgame | ceabbee7c348bfd4c95d2ee2ae0015d6d761154b | [
"X11"
] | null | null | null | """
MIT License
Copyrights © 2020, Philippe-Henri Gosselin.
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
use, copy, modify, m... | 34.51 | 85 | 0.654593 | 2,044 | 0.590751 | 0 | 0 | 286 | 0.082659 | 0 | 0 | 1,873 | 0.541329 |
059b0412d51d78feb8e9b2b1008cb427fb6c0e11 | 5,516 | py | Python | Bot/commands_handling/group_commands.py | DogsonPl/bot_for_messenger | 2d6664b52b59696dc82efb3d361b7700ebb3960b | [
"MIT"
] | 19 | 2021-03-11T12:59:00.000Z | 2022-02-12T18:50:58.000Z | Bot/commands_handling/group_commands.py | DogsonPl/bot_for_messenger | 2d6664b52b59696dc82efb3d361b7700ebb3960b | [
"MIT"
] | null | null | null | Bot/commands_handling/group_commands.py | DogsonPl/bot_for_messenger | 2d6664b52b59696dc82efb3d361b7700ebb3960b | [
"MIT"
] | 4 | 2021-03-10T23:07:13.000Z | 2021-09-28T18:55:30.000Z | import fbchat
import random as rd
from .logger import logger
from ..bot_actions import BotActions
from ..sql import handling_group_sql
BOT_WELCOME_MESSAGE = """👋 Witajcie, jestem botem 🤖
❓ Jeśli chcesz zobaczyć moje komendy napisz !help"""
def check_admin_permission(function):
async def wrapper(self, event, ... | 41.787879 | 134 | 0.676215 | 4,673 | 0.831939 | 0 | 0 | 4,494 | 0.800071 | 4,654 | 0.828556 | 1,087 | 0.19352 |
059f84fb457661f2a82136d2fab085f6c614dd8f | 1,100 | py | Python | util/file_parsing.py | LindaSt/BT-graph-creation | a6aa4d0ca42db4744150f11f17aea7e98d391319 | [
"MIT"
] | 1 | 2022-03-09T07:28:14.000Z | 2022-03-09T07:28:14.000Z | util/file_parsing.py | LindaSt/BT-graph-creation | a6aa4d0ca42db4744150f11f17aea7e98d391319 | [
"MIT"
] | null | null | null | util/file_parsing.py | LindaSt/BT-graph-creation | a6aa4d0ca42db4744150f11f17aea7e98d391319 | [
"MIT"
] | null | null | null | import os
import xml.etree.ElementTree as ET
def parse_xml(file_path) -> dict:
tree = ET.parse(file_path)
root = tree.getroot()
groups_colours = {i.attrib['Name']: i.attrib['Color'] for i in root.iter('Group')}
groups = ['hotspot', 'lymphocytes', 'tumorbuds', 'lymphocytesR', 'tumorbudsR']
annotat... | 36.666667 | 106 | 0.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 188 | 0.170909 |
05a1b225db67c9294be8ffcb48b01e142b5fd38c | 51,802 | py | Python | python source files/trainer.py | barneyga/A-Recurrent-Model-of-Approximate-Enumeration | 8a0ca5094a2e180939c25e55f376f30dfa1095bd | [
"MIT"
] | null | null | null | python source files/trainer.py | barneyga/A-Recurrent-Model-of-Approximate-Enumeration | 8a0ca5094a2e180939c25e55f376f30dfa1095bd | [
"MIT"
] | 1 | 2021-12-08T00:52:53.000Z | 2021-12-08T00:52:53.000Z | python source files/trainer.py | barneyga/A-Recurrent-Model-of-Approximate-Enumeration | 8a0ca5094a2e180939c25e55f376f30dfa1095bd | [
"MIT"
] | null | null | null | import os
import time
import shutil
import pickle
import torch
import torch.nn.functional as F
from tqdm import tqdm
from torch.optim.lr_scheduler import ReduceLROnPlateau
from tensorboard_logger import configure, log_value
import pandas as pd
from model import RecurrentAttention
from stop_model import StopRecurren... | 40.032457 | 154 | 0.572661 | 51,437 | 0.992954 | 0 | 0 | 24,540 | 0.473727 | 0 | 0 | 16,618 | 0.320798 |
05a68fa246d27153d4fabeb9ddac94a69fd17785 | 392 | py | Python | src/apps/shop/serializers.py | brainfukk/fiuread | 7414ec9f580b8bdc78e3ce63bb6ebf1ac7cdc4f8 | [
"Apache-2.0"
] | null | null | null | src/apps/shop/serializers.py | brainfukk/fiuread | 7414ec9f580b8bdc78e3ce63bb6ebf1ac7cdc4f8 | [
"Apache-2.0"
] | null | null | null | src/apps/shop/serializers.py | brainfukk/fiuread | 7414ec9f580b8bdc78e3ce63bb6ebf1ac7cdc4f8 | [
"Apache-2.0"
] | null | null | null | from rest_framework import serializers
from .models import ShopItem
class ShopItemSerializer(serializers.ModelSerializer):
buy_method = serializers.SerializerMethodField()
class Meta:
model = ShopItem
fields = ("id", "name", "cost", "source", "buy_method")
def get_buy_method(self, obj):... | 26.133333 | 70 | 0.706633 | 320 | 0.816327 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.191327 |
05a722d6a74837776cdd4f147e146b4674a0d013 | 2,205 | py | Python | app.py | limjierui/money-goose-telebot | bf048e27598b9ff6da580ee62309c4ca33eae0c5 | [
"MIT"
] | null | null | null | app.py | limjierui/money-goose-telebot | bf048e27598b9ff6da580ee62309c4ca33eae0c5 | [
"MIT"
] | null | null | null | app.py | limjierui/money-goose-telebot | bf048e27598b9ff6da580ee62309c4ca33eae0c5 | [
"MIT"
] | 3 | 2020-12-21T16:21:45.000Z | 2020-12-24T16:21:28.000Z | from flask import Flask, request
import telegram
from moneyGooseBot.master_mind import mainCommandHandler
from moneyGooseBot.credentials import URL, reset_key, bot_token, bot_user_name
from web_server import create_app
# https://api.telegram.org/bot1359229669:AAEm8MG26qbA9XjJyojVKvPI7jAdMVqAkc8/getMe
bot = telegram... | 30.625 | 86 | 0.686168 | 0 | 0 | 0 | 0 | 1,683 | 0.763265 | 0 | 0 | 974 | 0.441723 |
05aa26976885770e54982447eb4735e665e02cf2 | 3,061 | py | Python | final/software_tutorial/tutorial/libopencm3/scripts/data/lpc43xx/yaml_odict.py | mmwvh/ce | 162064eeb6668896410c9d176fe75531cd3493fb | [
"MIT"
] | 28 | 2021-04-08T15:59:56.000Z | 2022-03-12T20:42:16.000Z | final/software_tutorial/tutorial/libopencm3/scripts/data/lpc43xx/yaml_odict.py | mmwvh/ce | 162064eeb6668896410c9d176fe75531cd3493fb | [
"MIT"
] | 7 | 2020-08-25T07:58:01.000Z | 2020-09-12T20:44:12.000Z | final/software_tutorial/tutorial/libopencm3/scripts/data/lpc43xx/yaml_odict.py | mmwvh/ce | 162064eeb6668896410c9d176fe75531cd3493fb | [
"MIT"
] | 13 | 2020-02-13T18:25:57.000Z | 2022-03-01T11:27:12.000Z | import yaml
from collections import OrderedDict
def construct_odict(load, node):
"""This is the same as SafeConstructor.construct_yaml_omap(),
except the data type is changed to OrderedDict() and setitem is
used instead of append in the loop.
>>> yaml.load('''
... !!omap
... - foo: bar
...... | 37.329268 | 90 | 0.613525 | 0 | 0 | 1,648 | 0.538386 | 0 | 0 | 0 | 0 | 1,268 | 0.414244 |
05ac654490e3084f2724bef66dfbbee9d64e72f4 | 10,609 | py | Python | app.py | isabella232/arrested-development | ac53eb71a4cacc3793d51ff2c2c3c51a7c384dea | [
"FSFAP"
] | 1 | 2015-03-16T21:22:58.000Z | 2015-03-16T21:22:58.000Z | app.py | nprapps/arrested-development | ac53eb71a4cacc3793d51ff2c2c3c51a7c384dea | [
"FSFAP"
] | 1 | 2021-02-24T06:08:41.000Z | 2021-02-24T06:08:41.000Z | app.py | isabella232/arrested-development | ac53eb71a4cacc3793d51ff2c2c3c51a7c384dea | [
"FSFAP"
] | 2 | 2015-02-22T23:39:11.000Z | 2021-02-23T10:45:05.000Z | #!/usr/bin/env python
import json
from mimetypes import guess_type
import urllib
import envoy
from flask import Flask, Markup, abort, render_template, redirect, Response
import app_config
from models import Joke, Episode, EpisodeJoke, JokeConnection
from render_utils import flatten_app_config, make_context
app = Fl... | 33.153125 | 112 | 0.624658 | 0 | 0 | 0 | 0 | 9,226 | 0.869639 | 0 | 0 | 2,360 | 0.222453 |
05ae582a0fb6d75889c4d858419450e634ed3a1d | 12,129 | py | Python | json_modify.py | Enacero/yaml-patch | 7270d431447c82d665622cc316f0941214e7eee2 | [
"MIT"
] | 2 | 2020-04-21T08:49:39.000Z | 2020-12-21T07:28:43.000Z | json_modify.py | Enacero/json_modify | 7270d431447c82d665622cc316f0941214e7eee2 | [
"MIT"
] | null | null | null | json_modify.py | Enacero/json_modify | 7270d431447c82d665622cc316f0941214e7eee2 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2020 Oleksii Petrenko
#
# 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 use, copy... | 32.692722 | 88 | 0.612252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,806 | 0.39624 |
05aed2b7bdb2d62afb387bf3fa03ff50f51651b0 | 43,958 | py | Python | serial_scripts/vm_regression/test_vm_serial.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | 1 | 2017-06-13T04:42:34.000Z | 2017-06-13T04:42:34.000Z | serial_scripts/vm_regression/test_vm_serial.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | null | null | null | serial_scripts/vm_regression/test_vm_serial.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | null | null | null | import traffic_tests
from vn_test import *
from vm_test import *
from floating_ip import *
from policy_test import *
from compute_node_test import ComputeNodeFixture
from user_test import UserFixture
from multiple_vn_vm_test import *
from tcutils.wrappers import preposttest_wrapper
sys.path.append(os.path.realpath('tcu... | 46.125918 | 140 | 0.626189 | 43,106 | 0.980618 | 0 | 0 | 42,453 | 0.965763 | 0 | 0 | 13,110 | 0.298239 |
05afa4697f046e6af89220c07fb5a8db5f7b4cae | 2,466 | py | Python | odata/tests/test_context.py | suhrawardi/python-odata | 8a8f88329ca0f5b893e114bcf7ab02f3a8106ef0 | [
"MIT"
] | 74 | 2015-04-13T15:12:44.000Z | 2022-01-24T08:06:16.000Z | odata/tests/test_context.py | suhrawardi/python-odata | 8a8f88329ca0f5b893e114bcf7ab02f3a8106ef0 | [
"MIT"
] | 43 | 2015-04-11T15:08:08.000Z | 2021-04-14T16:08:43.000Z | odata/tests/test_context.py | suhrawardi/python-odata | 8a8f88329ca0f5b893e114bcf7ab02f3a8106ef0 | [
"MIT"
] | 63 | 2016-06-22T03:52:39.000Z | 2022-02-25T10:56:34.000Z | # -*- coding: utf-8 -*-
import json
import base64
import decimal
from unittest import TestCase
import requests
import responses
from odata.tests import Service, Product, DemoUnboundAction
class TestContext(TestCase):
def test_context_query_without_auth(self):
def request_callback(request):
... | 34.732394 | 92 | 0.623277 | 2,272 | 0.92133 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.078264 |
05b079948e8c02888049d1f77a57cfcbe4bb8e4b | 1,432 | py | Python | readouts/basic_readout.py | qbxlvnf11/graph-neural-networks-for-graph-classification | 5d69ead58c786aa8e472ab0433156fe09fe6ca4b | [
"MIT"
] | 20 | 2020-09-02T07:07:35.000Z | 2022-03-16T15:22:14.000Z | readouts/basic_readout.py | yuexiarenjing/graph-neural-networks-for-graph-classification | 5d69ead58c786aa8e472ab0433156fe09fe6ca4b | [
"MIT"
] | 2 | 2021-11-01T08:32:10.000Z | 2022-03-25T04:29:35.000Z | readouts/basic_readout.py | yuexiarenjing/graph-neural-networks-for-graph-classification | 5d69ead58c786aa8e472ab0433156fe09fe6ca4b | [
"MIT"
] | 11 | 2020-09-02T07:13:46.000Z | 2022-03-23T10:38:07.000Z | import torch
def readout_function(x, readout, batch=None, device=None):
if len(x.size()) == 3:
if readout == 'max':
return torch.max(x, dim=1)[0].squeeze() # max readout
elif readout == 'avg':
return torch.mean(x, dim=1).squeeze() # avg readout
elif readout == 'sum':
return torch.sum(x,... | 34.095238 | 77 | 0.552374 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 0.113128 |
05b273137ad8f8c40be4550bda786ffd468b9e75 | 362 | py | Python | src/ef/external_field_uniform.py | tnakaicode/ChargedPaticle-LowEnergy | 47b751bcada2af7fc50cef587a48b1a3c12bcbba | [
"MIT"
] | 6 | 2019-04-14T06:19:40.000Z | 2021-09-14T13:46:26.000Z | src/ef/external_field_uniform.py | tnakaicode/ChargedPaticle-LowEnergy | 47b751bcada2af7fc50cef587a48b1a3c12bcbba | [
"MIT"
] | 31 | 2018-03-02T12:05:20.000Z | 2019-02-20T09:29:08.000Z | src/ef/external_field_uniform.py | tnakaicode/ChargedPaticle-LowEnergy | 47b751bcada2af7fc50cef587a48b1a3c12bcbba | [
"MIT"
] | 10 | 2017-12-21T15:16:55.000Z | 2020-10-31T23:59:50.000Z | from ef.external_field import ExternalField
class ExternalFieldUniform(ExternalField):
def __init__(self, name, electric_or_magnetic, uniform_field_vector):
super().__init__(name, electric_or_magnetic)
self.uniform_field_vector = uniform_field_vector
def get_at_points(self, positions, time):... | 30.166667 | 73 | 0.773481 | 315 | 0.870166 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
05b2b6ec5edc971fee6f55c38fd27eec4af6014d | 11,493 | py | Python | plugins/helpers/EFO.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 4 | 2019-03-26T15:54:35.000Z | 2021-05-27T13:18:43.000Z | plugins/helpers/EFO.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 12 | 2019-04-23T14:45:04.000Z | 2022-03-17T09:40:04.000Z | plugins/helpers/EFO.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 2 | 2019-06-15T17:21:14.000Z | 2021-05-14T18:35:18.000Z | import logging
import re
import json
import jsonlines
from urllib import parse
logger = logging.getLogger(__name__)
# EFO
# The current implementation is based on the conversion from owl format to json lines format using Apache RIOT
# The structure disease_obsolete stores the obsolete terms and it is used to retriev... | 40.326316 | 116 | 0.59297 | 11,001 | 0.957191 | 0 | 0 | 0 | 0 | 0 | 0 | 2,778 | 0.241712 |
05b664d9f22c51662666d538e6f424b0f69a4ea2 | 948 | py | Python | interaction3/mfield/tests/test_transmit_receive_beamplot.py | bdshieh/interaction3 | b44c390045cf3b594125e90d2f2f4f617bc2433b | [
"MIT"
] | 2 | 2020-07-08T14:42:52.000Z | 2022-03-13T05:25:55.000Z | interaction3/mfield/tests/test_transmit_receive_beamplot.py | bdshieh/interaction3 | b44c390045cf3b594125e90d2f2f4f617bc2433b | [
"MIT"
] | null | null | null | interaction3/mfield/tests/test_transmit_receive_beamplot.py | bdshieh/interaction3 | b44c390045cf3b594125e90d2f2f4f617bc2433b | [
"MIT"
] | null | null | null |
import numpy as np
from interaction3 import abstract
from interaction3.arrays import matrix
from interaction3.mfield.solvers.transmit_receive_beamplot_2 import TransmitReceiveBeamplot2
array = matrix.create(nelem=[2, 2])
simulation = abstract.MfieldSimulation(sampling_frequency=100e6,
... | 35.111111 | 92 | 0.517932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0.016878 |
05b7efff7d41c4651007c0d46a051ea437cab70c | 16,172 | py | Python | scripts/make_plots.py | facebookresearch/mpcfp | cb29797aa4f2ce524dd584ecf47c863fd9f414a6 | [
"MIT"
] | 5 | 2020-11-18T23:55:17.000Z | 2022-01-14T07:15:35.000Z | scripts/make_plots.py | facebookresearch/mpcfp | cb29797aa4f2ce524dd584ecf47c863fd9f414a6 | [
"MIT"
] | null | null | null | scripts/make_plots.py | facebookresearch/mpcfp | cb29797aa4f2ce524dd584ecf47c863fd9f414a6 | [
"MIT"
] | 2 | 2021-11-06T14:06:13.000Z | 2022-01-14T07:16:29.000Z | #!/usr/bin/env python2
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __fu... | 32.539235 | 79 | 0.537225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,741 | 0.16949 |
05b87ef1f9d957ce2aacbc7ba9bf31d3f24627e5 | 2,782 | py | Python | example_backtesting.py | brokenlab/finance4py | 839fb4c262c369973c1afaebb23291355f8b4668 | [
"MIT"
] | 6 | 2016-12-28T03:40:46.000Z | 2017-03-31T12:04:43.000Z | example_backtesting.py | brokenlab/finance4py | 839fb4c262c369973c1afaebb23291355f8b4668 | [
"MIT"
] | null | null | null | example_backtesting.py | brokenlab/finance4py | 839fb4c262c369973c1afaebb23291355f8b4668 | [
"MIT"
] | 3 | 2018-04-26T03:14:29.000Z | 2021-06-13T16:18:04.000Z | # -*- coding: utf-8 -*-
'''
* finance4py
* Based on Python Data Analysis Library.
* 2016/03/22 by Sheg-Huai Wang <m10215059@csie.ntust.edu.tw>
* Copyright (c) 2016, finance4py team
* All rights reserved.
* Redistribution and use in source and binary forms, with or without modification,
are permitted ... | 35.21519 | 104 | 0.727175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,332 | 0.761097 |
05b8e002f7910268a9002f66a3d07f197f31db7a | 1,778 | py | Python | utils/cloud/cloud_client/__init__.py | alexfdo/asr_eval | d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3 | [
"MIT"
] | 3 | 2020-03-06T17:20:34.000Z | 2021-09-09T09:18:48.000Z | utils/cloud/cloud_client/__init__.py | alexfdo/asr_eval | d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3 | [
"MIT"
] | 1 | 2020-02-03T18:25:08.000Z | 2020-02-03T18:25:08.000Z | utils/cloud/cloud_client/__init__.py | alexfdo/asr_eval | d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3 | [
"MIT"
] | 1 | 2020-01-29T19:47:54.000Z | 2020-01-29T19:47:54.000Z | # coding: utf-8
# flake8: noqa
"""
ASR documentation
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 1.0.dev
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import ab... | 41.348837 | 119 | 0.865017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 368 | 0.206974 |
05b95038357172273cd6bf5b94205ef5e3a1bff8 | 2,818 | py | Python | main.py | af12066/cancel-sit | 29977bb86927e69ae7f94a160ef4d1fb810f0117 | [
"MIT"
] | null | null | null | main.py | af12066/cancel-sit | 29977bb86927e69ae7f94a160ef4d1fb810f0117 | [
"MIT"
] | null | null | null | main.py | af12066/cancel-sit | 29977bb86927e69ae7f94a160ef4d1fb810f0117 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) T. H.
import urllib.request
import re
import urllib.parse
import codecs
import filecmp
import os.path
import os
from bs4 import BeautifulSoup
from slacker import Slacker
from datetime import datetime
class Slack(object):
__slacker = None
def __init__(self, token):
... | 29.663158 | 220 | 0.625621 | 872 | 0.251878 | 0 | 0 | 0 | 0 | 0 | 0 | 1,414 | 0.408434 |
05ba89852c4740460e1cce9740e5ab37d0b77443 | 582 | py | Python | minitf/kernel/_numpy_math.py | guocuimi/minitf | f272a6b1546b82aaec41ec7d2c2d34fa40a40385 | [
"MIT"
] | 7 | 2020-02-10T08:16:30.000Z | 2021-01-31T14:08:02.000Z | minitf/kernel/_numpy_math.py | guocuimi/minitf | f272a6b1546b82aaec41ec7d2c2d34fa40a40385 | [
"MIT"
] | 1 | 2020-02-29T01:57:54.000Z | 2020-02-29T01:57:54.000Z | minitf/kernel/_numpy_math.py | guocuimi/minitf | f272a6b1546b82aaec41ec7d2c2d34fa40a40385 | [
"MIT"
] | null | null | null | import numpy as _np
from minitf.kernel.core import notrace_primitive
from minitf.kernel.core import primitive
# ----- Differentiable functions -----
add = primitive(_np.add)
subtract = primitive(_np.subtract)
multiply = primitive(_np.multiply)
divide = primitive(_np.divide)
dot = primitive(_np.dot)
square = primitive... | 27.714286 | 48 | 0.780069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.140893 |
05bdd1c7fb73fc917e7e9bacb41962e3873e9769 | 5,802 | py | Python | map/migrations/0001_initial.py | matthewoconnor/mapplot-cdp | 19513e6617f878d717ab4e917ffc9d22270edcfe | [
"MIT"
] | null | null | null | map/migrations/0001_initial.py | matthewoconnor/mapplot-cdp | 19513e6617f878d717ab4e917ffc9d22270edcfe | [
"MIT"
] | null | null | null | map/migrations/0001_initial.py | matthewoconnor/mapplot-cdp | 19513e6617f878d717ab4e917ffc9d22270edcfe | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2017-01-10 20:41
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migration... | 62.387097 | 275 | 0.608239 | 5,579 | 0.961565 | 0 | 0 | 0 | 0 | 0 | 0 | 1,300 | 0.224061 |
05be03857ac9bab749c288e65ba7f0f36541df9b | 4,561 | py | Python | Scripts/simulation/gsi_handlers/object_lost_and_found_service_handlers.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/gsi_handlers/object_lost_and_found_service_handlers.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/gsi_handlers/object_lost_and_found_service_handlers.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\gsi_handlers\object_lost_and_found_service_handlers.py
# Compiled at: 2018-10-26 00:20:22
# Size of ... | 44.281553 | 110 | 0.70182 | 0 | 0 | 0 | 0 | 3,025 | 0.663232 | 0 | 0 | 709 | 0.155448 |
05bf284e1bf49c109f8df75324eddb8540d17a61 | 685 | py | Python | testing/test_pendulum.py | delock/pytorch-a3c-mujoco | 82e0c854417ac05e0f414eab1710794d41515591 | [
"MIT"
] | null | null | null | testing/test_pendulum.py | delock/pytorch-a3c-mujoco | 82e0c854417ac05e0f414eab1710794d41515591 | [
"MIT"
] | null | null | null | testing/test_pendulum.py | delock/pytorch-a3c-mujoco | 82e0c854417ac05e0f414eab1710794d41515591 | [
"MIT"
] | null | null | null | #Importing OpenAI gym package and MuJoCo engine
import gym
import numpy as np
import mujoco_py
import matplotlib.pyplot as plt
import env
#Setting MountainCar-v0 as the environment
env = gym.make('InvertedPendulum-down')
#Sets an initial state
env.reset()
print (env.action_space)
# Rendering our instance 300 times
i =... | 25.37037 | 70 | 0.706569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 325 | 0.474453 |
05bf7c9f0303c517554bb2670af4a9a4baf2a54a | 5,317 | py | Python | plots/plot_drift_types.py | ChristophRaab/RRSLVQ | e265f62e023bd3ca23273b51e06035fd3c0b7c94 | [
"MIT"
] | 1 | 2021-06-22T20:54:03.000Z | 2021-06-22T20:54:03.000Z | plots/plot_drift_types.py | ChristophRaab/RRSLVQ | e265f62e023bd3ca23273b51e06035fd3c0b7c94 | [
"MIT"
] | 5 | 2020-04-20T09:31:02.000Z | 2021-07-10T01:23:36.000Z | plots/plot_drift_types.py | ChristophRaab/RRSLVQ | e265f62e023bd3ca23273b51e06035fd3c0b7c94 | [
"MIT"
] | 1 | 2020-07-03T04:00:47.000Z | 2020-07-03T04:00:47.000Z | import matplotlib.pyplot as plt
import numpy as np
from scipy.special import logit
import pandas as pd
from matplotlib.axes import Axes, Subplot
from matplotlib.collections import LineCollection
from matplotlib.colors import ListedColormap, BoundaryNorm
SMALL = 14
SIZE = 16
plt.rc('font', size=SIZE) # controls defaul... | 33.024845 | 130 | 0.671995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 924 | 0.173782 |
05c1f456776569370085a917d41ee8b850f0a3b7 | 15,773 | py | Python | simulation/src/utils.py | VIDA-NYU/pedestrian-sensing-model | e8f0a6d3e47fc2a2577ac502f607568b3b7f2abf | [
"MIT"
] | 2 | 2020-01-14T12:44:11.000Z | 2021-09-29T16:09:37.000Z | simulation/src/utils.py | VIDA-NYU/pedestrian-sensing-model | e8f0a6d3e47fc2a2577ac502f607568b3b7f2abf | [
"MIT"
] | 1 | 2021-09-11T14:13:57.000Z | 2021-09-11T14:13:57.000Z | simulation/src/utils.py | VIDA-NYU/pedestrian-sensing-model | e8f0a6d3e47fc2a2577ac502f607568b3b7f2abf | [
"MIT"
] | 2 | 2020-07-13T17:08:25.000Z | 2021-03-31T15:10:58.000Z | #!/usr/bin/env python3
import numpy as np
import math
import random
import time
import scipy.misc
import scipy.signal
import multiprocessing
import json
import itertools
import os
import pprint
from collections import namedtuple
from fractions import gcd
from optimized import get_distance
OBSTACLE = -1
MAX = 21474836... | 30.216475 | 140 | 0.573131 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,763 | 0.365371 |
05c354eab5a376b1dcdf00dc912ca4e24bdc43ea | 2,438 | py | Python | luxor/controllers/types.py | sam007961/luxor | 31838c937b61bfbc400103d58ec5b5070471767e | [
"MIT"
] | null | null | null | luxor/controllers/types.py | sam007961/luxor | 31838c937b61bfbc400103d58ec5b5070471767e | [
"MIT"
] | 5 | 2020-09-06T15:44:13.000Z | 2020-11-02T11:30:22.000Z | luxor/controllers/types.py | sam007961/luxor | 31838c937b61bfbc400103d58ec5b5070471767e | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import Union
from luxor.core.events import Event
from luxor.controllers.expressions import Var
class Int(Var):
def __init__(self, value: Number = 0, **kwargs) -> None:
super(Int, self).__init__(**kwargs)
self.event_prefix = self.name + '.int.'
... | 30.098765 | 73 | 0.511895 | 2,259 | 0.926579 | 0 | 0 | 198 | 0.081214 | 0 | 0 | 212 | 0.086957 |
05c47851eed298a1ca3b5574ee61fdfb8228a592 | 412 | py | Python | Les 1/1_1.py | tloader11/TICT-V1PROG-15 | dac7e991dcb11a397082bdceaf60a07b9bbc1a4a | [
"Unlicense"
] | null | null | null | Les 1/1_1.py | tloader11/TICT-V1PROG-15 | dac7e991dcb11a397082bdceaf60a07b9bbc1a4a | [
"Unlicense"
] | null | null | null | Les 1/1_1.py | tloader11/TICT-V1PROG-15 | dac7e991dcb11a397082bdceaf60a07b9bbc1a4a | [
"Unlicense"
] | null | null | null | 5 5 integer
5.0 5.0 float
5 % 2 1 int
5 > 1 True boolean
'5' '5' String
5 * 2 10 int
'5' * 2 '55' String
'5' + '2' '52' String
5 / 2 2.5 float
5 // 2 ... | 29.428571 | 35 | 0.279126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.055825 |
05c54a12ada174aedbee75dcfaa2218242c10ec6 | 1,270 | py | Python | edgecast/command_line.py | ganguera/edgecast | 43ab240698a50c1382eb11bdb79acc5683bc10ea | [
"MIT"
] | null | null | null | edgecast/command_line.py | ganguera/edgecast | 43ab240698a50c1382eb11bdb79acc5683bc10ea | [
"MIT"
] | null | null | null | edgecast/command_line.py | ganguera/edgecast | 43ab240698a50c1382eb11bdb79acc5683bc10ea | [
"MIT"
] | null | null | null | import argparse
import arrow
import json
import config
from . import EdgecastReportReader
from media_type import PLATFORM
def main():
parser = argparse.ArgumentParser(
description='EdgeCast Usage Report Reader'
)
parser.add_argument('-g', '--granularity',
dest='granularity', action='store', type=str,
... | 27.608696 | 108 | 0.684252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 382 | 0.300787 |
05c66e3dcdf2a391e7cb2ae90afaebe8a08c59e9 | 3,483 | py | Python | skeletons/browser/browser.py | gbkim000/wxPython | b1604d71cf04801f9efa8b26b935561a88ef1daa | [
"BSD-2-Clause"
] | 80 | 2018-05-25T00:37:25.000Z | 2022-03-13T12:31:02.000Z | skeletons/browser/browser.py | gbkim000/wxPython | b1604d71cf04801f9efa8b26b935561a88ef1daa | [
"BSD-2-Clause"
] | 1 | 2021-01-08T20:22:52.000Z | 2021-01-08T20:22:52.000Z | skeletons/browser/browser.py | gbkim000/wxPython | b1604d71cf04801f9efa8b26b935561a88ef1daa | [
"BSD-2-Clause"
] | 32 | 2018-05-24T05:40:55.000Z | 2022-03-24T00:32:11.000Z | #!/usr/bin/python
"""
ZetCode wxPython tutorial
This program creates a browser UI.
author: Jan Bodnar
website: zetcode.com
last edited: May 2018
"""
import wx
from wx.lib.buttons import GenBitmapTextButton
class Example(wx.Frame):
def __init__(self, *args, **kw):
super(Example, self).__init__(*args, *... | 27.642857 | 83 | 0.584266 | 3,141 | 0.901809 | 0 | 0 | 0 | 0 | 0 | 0 | 423 | 0.121447 |
05c7ce421e8fdf3698aad581723528f431eaafbe | 1,673 | py | Python | model/tds_block.py | SABER-labs/SABERv2 | 028d403beadec3adebd51582fd8ef896a2fe3696 | [
"MIT"
] | 1 | 2022-03-02T02:52:24.000Z | 2022-03-02T02:52:24.000Z | model/tds_block.py | SABER-labs/SABERv2 | 028d403beadec3adebd51582fd8ef896a2fe3696 | [
"MIT"
] | null | null | null | model/tds_block.py | SABER-labs/SABERv2 | 028d403beadec3adebd51582fd8ef896a2fe3696 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
class TDSBlock(nn.Module):
def __init__(self, channels, kernel_size, width, dropout, right_padding):
super().__init__()
self.channels = channels
self.width = width
assert(right_padding >= 0)
self.conv_block = nn.Sequential(
... | 28.355932 | 77 | 0.545129 | 1,388 | 0.829647 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.053796 |
05c8724a622688c0f5c093058bd7213a2efddffc | 1,968 | py | Python | blackcompany/serve/vcs.py | clckwrkbdgr/blackcompany | 9164a0db3e9f11878ce12da6ebdf82a300e1c6f4 | [
"WTFPL"
] | null | null | null | blackcompany/serve/vcs.py | clckwrkbdgr/blackcompany | 9164a0db3e9f11878ce12da6ebdf82a300e1c6f4 | [
"WTFPL"
] | null | null | null | blackcompany/serve/vcs.py | clckwrkbdgr/blackcompany | 9164a0db3e9f11878ce12da6ebdf82a300e1c6f4 | [
"WTFPL"
] | null | null | null | from ._base import Endpoint
from ..util._six import Path
import bottle
from ..util import gitHttpBackend
class GitHTTPBackend:
""" WSGI git-http-backend interface to actual endpoints.
"""
def __init__(self, route, repo_root):
self.route = route
self.repo_root = Path(repo_root)
def get(self, path):
return sel... | 37.846154 | 143 | 0.758638 | 1,251 | 0.635671 | 0 | 0 | 0 | 0 | 0 | 0 | 363 | 0.184451 |
05cc0547376efd7b3d0398149b11f68433ccaf60 | 2,999 | py | Python | imaginaire/discriminators/cagan.py | zebincai/imaginaire | f5a707f449d93c33fbfe19bcd975a476f2c1dd7a | [
"RSA-MD"
] | null | null | null | imaginaire/discriminators/cagan.py | zebincai/imaginaire | f5a707f449d93c33fbfe19bcd975a476f2c1dd7a | [
"RSA-MD"
] | null | null | null | imaginaire/discriminators/cagan.py | zebincai/imaginaire | f5a707f449d93c33fbfe19bcd975a476f2c1dd7a | [
"RSA-MD"
] | null | null | null | # Copyright (C) 2020 NVIDIA Corporation. All rights reserved.
#
# This work is made available under the Nvidia Source Code License-NC.
# To view a copy of this license, check out LICENSE.md
import torch
import torch.nn as nn
from imaginaire.layers import Conv2dBlock
from imaginaire.layers.misc import ApplyNoise... | 40.527027 | 102 | 0.617206 | 2,371 | 0.790597 | 0 | 0 | 0 | 0 | 0 | 0 | 634 | 0.211404 |
05cc10143e791bcc38db23bf914cc748df6a3237 | 2,959 | py | Python | Chapter10/Ch10/server/database.py | henrryyanez/Tkinter-GUI-Programming-by-Example | c8a326d6034b5e54f77605a8ec840cb8fac89412 | [
"MIT"
] | 127 | 2018-08-27T16:34:43.000Z | 2022-03-22T19:20:53.000Z | Chapter10/Ch10/server/database.py | PiotrAdaszewski/Tkinter-GUI-Programming-by-Example | c8a326d6034b5e54f77605a8ec840cb8fac89412 | [
"MIT"
] | 8 | 2019-04-11T06:47:36.000Z | 2022-03-11T23:23:42.000Z | Chapter10/Ch10/server/database.py | PiotrAdaszewski/Tkinter-GUI-Programming-by-Example | c8a326d6034b5e54f77605a8ec840cb8fac89412 | [
"MIT"
] | 85 | 2018-04-30T19:42:21.000Z | 2022-03-30T01:22:54.000Z | import sqlite3
class Database:
def __init__(self):
self.database = "chat.db"
def perform_insert(self, sql, params):
conn = sqlite3.connect(self.database)
cursor = conn.cursor()
cursor.execute(sql, params)
conn.commit()
conn.close()
def perform_select(self,... | 30.822917 | 117 | 0.630618 | 2,941 | 0.993917 | 0 | 0 | 0 | 0 | 0 | 0 | 620 | 0.20953 |
05cea8e33b54e9775229454c04e0071781d3127e | 938 | py | Python | ad_hoc_scripts/update_by_condition.py | IgorZyktin/MediaStorageSystem | df8d260581cb806eb54f320d63aa674c6175c17e | [
"MIT"
] | 2 | 2021-03-06T16:07:30.000Z | 2021-03-17T10:27:25.000Z | ad_hoc_scripts/update_by_condition.py | IgorZyktin/MediaStorageSystem | df8d260581cb806eb54f320d63aa674c6175c17e | [
"MIT"
] | null | null | null | ad_hoc_scripts/update_by_condition.py | IgorZyktin/MediaStorageSystem | df8d260581cb806eb54f320d63aa674c6175c17e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Non user friendly script.
"""
from mss.core.class_filesystem import Filesystem
def update_by_condition(root_path: str, theme: str):
"""Change records by condition."""
fs = Filesystem()
path = fs.join(root_path, theme, 'metainfo')
for folder, filename, name, ext in fs.iter_... | 26.055556 | 57 | 0.590618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 242 | 0.257996 |
05cf590b42b6da085a51776ee9e5aa949a057c25 | 2,555 | py | Python | 2.ReinforcementLearning/RL_Book/1-gridworld/environment_value_iteration.py | link-kut/deeplink_public | 688c379bfeb63156e865d78d0428f97d7d203cc1 | [
"MIT"
] | null | null | null | 2.ReinforcementLearning/RL_Book/1-gridworld/environment_value_iteration.py | link-kut/deeplink_public | 688c379bfeb63156e865d78d0428f97d7d203cc1 | [
"MIT"
] | 11 | 2020-01-28T22:33:49.000Z | 2022-03-11T23:41:08.000Z | 2.ReinforcementLearning/RL_Book/1-gridworld/environment_value_iteration.py | link-kut/deeplink_public | 688c379bfeb63156e865d78d0428f97d7d203cc1 | [
"MIT"
] | 2 | 2019-06-01T04:14:52.000Z | 2020-05-31T08:13:23.000Z | from environment import *
import random
class ValueIterationGraphicDisplay(GraphicDisplay):
def __init__(self, agent, title):
self.btn_1_text = "Calculate"
self.btn_2_text = "Print Policy"
self.btn_1_func = self.calculate_value
self.btn_2_func = self.print_optimal_policy
sel... | 39.307692 | 94 | 0.600391 | 2,514 | 0.983953 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.018787 |
05cff405e8dd7ef93166ffc63471b8011294be84 | 8,289 | py | Python | csimpy/test.py | dewancse/csimpy | 58c32e40e5d991b4ca98df05e6f61020def475a9 | [
"Apache-2.0"
] | null | null | null | csimpy/test.py | dewancse/csimpy | 58c32e40e5d991b4ca98df05e6f61020def475a9 | [
"Apache-2.0"
] | null | null | null | csimpy/test.py | dewancse/csimpy | 58c32e40e5d991b4ca98df05e6f61020def475a9 | [
"Apache-2.0"
] | null | null | null | from enum import Enum
from math import *
from scipy import integrate
import matplotlib.pyplot as plt
from libcellml import *
import lxml.etree as ET
__version__ = "0.1.0"
LIBCELLML_VERSION = "0.2.0"
STATE_COUNT = 1
VARIABLE_COUNT = 29
class VariableType(Enum):
CONSTANT = 1
COMPUTED_CONSTANT = 2
ALGEBRAI... | 42.507692 | 268 | 0.68054 | 86 | 0.010375 | 0 | 0 | 0 | 0 | 0 | 0 | 3,233 | 0.390035 |
05d337eef8af353471796ace517f3b818298177f | 2,342 | py | Python | camera_calib/image.py | justinblaber/camera_calib_python | 9427ff31d55af7619e7aee74136446a31d10def0 | [
"Apache-2.0"
] | 3 | 2020-10-14T10:24:09.000Z | 2021-09-19T20:48:40.000Z | camera_calib/image.py | justinblaber/camera_calib_python | 9427ff31d55af7619e7aee74136446a31d10def0 | [
"Apache-2.0"
] | 1 | 2021-09-28T02:06:42.000Z | 2021-09-28T02:06:42.000Z | camera_calib/image.py | justinblaber/camera_calib_python | 9427ff31d55af7619e7aee74136446a31d10def0 | [
"Apache-2.0"
] | 2 | 2021-01-07T20:13:31.000Z | 2021-01-08T18:16:53.000Z | # AUTOGENERATED! DO NOT EDIT! File to edit: image.ipynb (unless otherwise specified).
__all__ = ['Img', 'FileImg', 'File16bitImg', 'ArrayImg']
# Cell
import warnings
import numpy as np
import torch
from PIL import Image
from .utils import *
# Cell
class Img:
def exists(self): raise NotImplemented... | 32.527778 | 91 | 0.61614 | 2,062 | 0.880444 | 0 | 0 | 463 | 0.197694 | 0 | 0 | 479 | 0.204526 |
05d462566b4d5254250d288dd86dc436b3f67818 | 2,144 | py | Python | einshape/src/jax/jax_ops.py | LaudateCorpus1/einshape | b1a0e696c20c025074f09071790b97b42754260d | [
"Apache-2.0"
] | 38 | 2021-07-23T12:00:08.000Z | 2022-03-18T08:40:33.000Z | einshape/src/jax/jax_ops.py | LaudateCorpus1/einshape | b1a0e696c20c025074f09071790b97b42754260d | [
"Apache-2.0"
] | 1 | 2021-10-05T16:20:23.000Z | 2021-10-05T16:20:23.000Z | einshape/src/jax/jax_ops.py | LaudateCorpus1/einshape | b1a0e696c20c025074f09071790b97b42754260d | [
"Apache-2.0"
] | 3 | 2021-08-04T16:18:29.000Z | 2021-11-13T14:33:20.000Z | # coding=utf-8
# Copyright 2021 DeepMind Technologies 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 applic... | 33.5 | 80 | 0.726213 | 703 | 0.327892 | 0 | 0 | 0 | 0 | 0 | 0 | 1,143 | 0.533116 |
05d4760733051270e73120a1ac9a61ea86e6cde5 | 1,800 | py | Python | DOOM.py | ariel139/DOOM-port-scanner | 328678b9f79855de472967f1a3e4b3e9181a3706 | [
"MIT"
] | 6 | 2020-11-24T06:51:02.000Z | 2022-02-26T23:19:46.000Z | DOOM.py | ariel139/DOOM-port-scanner | 328678b9f79855de472967f1a3e4b3e9181a3706 | [
"MIT"
] | null | null | null | DOOM.py | ariel139/DOOM-port-scanner | 328678b9f79855de472967f1a3e4b3e9181a3706 | [
"MIT"
] | null | null | null | import socket
from IPy import IP
print("""
You are using the DOOM Port scanner.
This tool is for educational purpose ONLY!!!!
1. You can change the range of the ports you want to scan.
2. You can change the speedof the scan
3. you can scan a list of targets by using ', ' after each target
4. You can sc... | 24.657534 | 111 | 0.597778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 798 | 0.443333 |
05d4a6a91e58732f8757086328fccaf5f8b61a70 | 9,380 | py | Python | finding_models/testing_classifiers.py | NtMalDetect/NtMalDetect | 5bf8f35491bf8081d0b721fa1bf90582b410ed74 | [
"MIT"
] | 10 | 2018-01-04T07:59:59.000Z | 2022-01-17T08:56:33.000Z | finding_models/testing_classifiers.py | NtMalDetect/NtMalDetect | 5bf8f35491bf8081d0b721fa1bf90582b410ed74 | [
"MIT"
] | 2 | 2020-01-12T19:32:05.000Z | 2020-04-11T09:38:07.000Z | finding_models/testing_classifiers.py | NtMalDetect/NtMalDetect | 5bf8f35491bf8081d0b721fa1bf90582b410ed74 | [
"MIT"
] | 1 | 2018-08-31T04:13:43.000Z | 2018-08-31T04:13:43.000Z | from __future__ import print_function
import logging
import numpy as np
from optparse import OptionParser
import sys
from time import time
import matplotlib.pyplot as plt
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.feature_extraction.text import HashingVectorizer
from skl... | 31.059603 | 150 | 0.698294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,196 | 0.234115 |
05d5479edfdc67ed72d1fed7ba706e163051f970 | 5,953 | py | Python | neutron/tests/fullstack/test_firewall.py | knodir/neutron | ac4e28478ac8a8a0c9f5c5785f6a6bcf532c66b8 | [
"Apache-2.0"
] | 1 | 2018-10-19T01:48:37.000Z | 2018-10-19T01:48:37.000Z | neutron/tests/fullstack/test_firewall.py | knodir/neutron | ac4e28478ac8a8a0c9f5c5785f6a6bcf532c66b8 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | neutron/tests/fullstack/test_firewall.py | knodir/neutron | ac4e28478ac8a8a0c9f5c5785f6a6bcf532c66b8 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # Copyright 2018 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 38.908497 | 79 | 0.666891 | 4,727 | 0.794053 | 0 | 0 | 0 | 0 | 0 | 0 | 1,547 | 0.259869 |
05d679b96fcc27f56541b2f87e6ba4b22f90adbe | 709 | py | Python | Analysis/pdf_to_txt.py | ashishnitinpatil/resanalysersite | 0604d2fed4760be741c4d90b6d230d0f2cd8bf9e | [
"CC-BY-4.0"
] | null | null | null | Analysis/pdf_to_txt.py | ashishnitinpatil/resanalysersite | 0604d2fed4760be741c4d90b6d230d0f2cd8bf9e | [
"CC-BY-4.0"
] | null | null | null | Analysis/pdf_to_txt.py | ashishnitinpatil/resanalysersite | 0604d2fed4760be741c4d90b6d230d0f2cd8bf9e | [
"CC-BY-4.0"
] | null | null | null | from pdfminer.pdfinterp import PDFResourceManager, process_pdf
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from cStringIO import StringIO
def convert_pdf(path):
rsrcmgr = PDFResourceManager()
retstr = StringIO()
codec = 'utf-8'
laparams = LAParams()
device = T... | 27.269231 | 83 | 0.712271 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0.16079 |
05d6c824429b4f5fccdfe1433815eb6c96e18c8f | 480 | py | Python | local/handler/TravisHandler.py | fasterit/supybot-github | 37b80046c0f0d5a66b2107a63e380002adbb66f5 | [
"MIT"
] | 7 | 2016-07-16T22:16:37.000Z | 2021-06-14T20:45:37.000Z | local/handler/TravisHandler.py | fasterit/supybot-github | 37b80046c0f0d5a66b2107a63e380002adbb66f5 | [
"MIT"
] | 30 | 2015-06-03T22:40:28.000Z | 2022-02-11T08:49:44.000Z | local/handler/TravisHandler.py | fasterit/supybot-github | 37b80046c0f0d5a66b2107a63e380002adbb66f5 | [
"MIT"
] | 5 | 2018-01-12T21:28:50.000Z | 2020-10-01T13:44:09.000Z | from ..utility import *
def handle(data, theme):
if isStatusVisible(data['repository']['url'], data['status_message'].lower()):
theme.travis(
branch = data['branch'],
repo = data['repository']['name'],
status = data['status_message'],
commitId = data['commit'... | 34.285714 | 82 | 0.554167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 116 | 0.241667 |
05d8328fda38c6d6fda5c13e5f09ac74925e7f3b | 10,417 | py | Python | pyart/io/tests/test_mdv_radar.py | josephhardinee/pyart | 909cd4a36bb4cae34349294d2013bc7ad71d0969 | [
"OLDAP-2.6",
"Python-2.0"
] | null | null | null | pyart/io/tests/test_mdv_radar.py | josephhardinee/pyart | 909cd4a36bb4cae34349294d2013bc7ad71d0969 | [
"OLDAP-2.6",
"Python-2.0"
] | null | null | null | pyart/io/tests/test_mdv_radar.py | josephhardinee/pyart | 909cd4a36bb4cae34349294d2013bc7ad71d0969 | [
"OLDAP-2.6",
"Python-2.0"
] | null | null | null | """ Unit Tests for Py-ART's io/mdv_radar.py module. """
import numpy as np
from numpy.testing import assert_almost_equal
from numpy.ma.core import MaskedArray
import pyart
############################################
# read_mdv tests (verify radar attributes) #
############################################
# read in... | 29.179272 | 75 | 0.707977 | 0 | 0 | 1,703 | 0.163483 | 0 | 0 | 0 | 0 | 2,742 | 0.263224 |
05d878ca2e433fc4c0d9802abde19f10dbc8863e | 2,430 | py | Python | model/UserAccess.py | EmbeddedSoftwareCaiShuPeng/vehicleDispatcher | aacebb1656fe095485041de0bcbb67627e384abc | [
"MIT"
] | 1 | 2016-04-27T14:23:53.000Z | 2016-04-27T14:23:53.000Z | model/UserAccess.py | EmbeddedSoftwareCaiShuPeng/vehicleDispatcher | aacebb1656fe095485041de0bcbb67627e384abc | [
"MIT"
] | null | null | null | model/UserAccess.py | EmbeddedSoftwareCaiShuPeng/vehicleDispatcher | aacebb1656fe095485041de0bcbb67627e384abc | [
"MIT"
] | null | null | null | import uuid, json, os, pymongo
from models import User
def addUser(user):
res = {}
res['result'] = 1
res['message'] = ''
if User.insert_one(user).inserted_id != '':
res['message'] = 'success'
else:
res['result'] = 0
res['message'] = 'Fail to add user in database!'
ret... | 24.545455 | 59 | 0.475309 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 747 | 0.307407 |
05ddcfc4ce86d56934f5e0733a719cb7c2450e6f | 969 | py | Python | sdk/python/pulumi_google_native/genomics/v1alpha2/_enums.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 44 | 2021-04-18T23:00:48.000Z | 2022-02-14T17:43:15.000Z | sdk/python/pulumi_google_native/genomics/v1alpha2/_enums.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 354 | 2021-04-16T16:48:39.000Z | 2022-03-31T17:16:39.000Z | sdk/python/pulumi_google_native/genomics/v1alpha2/_enums.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 8 | 2021-04-24T17:46:51.000Z | 2022-01-05T10:40:21.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from enum import Enum
__all__ = [
'DiskType',
]
class DiskType(str, Enum):
"""
Required. The type of the disk to create.
"""
TYP... | 30.28125 | 136 | 0.672859 | 744 | 0.767802 | 0 | 0 | 0 | 0 | 0 | 0 | 783 | 0.80805 |
05df1e31c5373f19f615a0dfa51f726a3fbefbbb | 634 | py | Python | plugins/startHelp.py | REX-BOTZ/MegaUploaderbot-1 | 025fd97344da388fe607f5db73ad9f4435f51baa | [
"Apache-2.0"
] | 2 | 2021-11-12T13:15:03.000Z | 2021-11-13T12:17:33.000Z | plugins/startHelp.py | REX-BOTZ/MegaUploaderbot-1 | 025fd97344da388fe607f5db73ad9f4435f51baa | [
"Apache-2.0"
] | null | null | null | plugins/startHelp.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 Common Files
from botModule.importCommon import *
"""Start Handler"""
@Client.on_message(filters.private & filters.command("start"))
async def start_handler(bot:Update, msg:Message):
if await search_user_in_community(bot, msg):
await msg.reply_text(BotM... | 26.416667 | 71 | 0.728707 | 0 | 0 | 0 | 0 | 485 | 0.764984 | 360 | 0.567823 | 123 | 0.194006 |
05e108ee92867afb8794b956bcf9b413dc00ac01 | 206 | py | Python | webSys/dbweb/util/__init__.py | Qiumy/FIF | 8c9c58504ecab510dc0a96944f0031a3fd513d74 | [
"Apache-2.0"
] | 2 | 2018-12-21T02:01:03.000Z | 2019-10-17T08:07:04.000Z | webSys/dbweb/util/__init__.py | Qiumy/FIF | 8c9c58504ecab510dc0a96944f0031a3fd513d74 | [
"Apache-2.0"
] | null | null | null | webSys/dbweb/util/__init__.py | Qiumy/FIF | 8c9c58504ecab510dc0a96944f0031a3fd513d74 | [
"Apache-2.0"
] | 1 | 2018-06-01T07:56:09.000Z | 2018-06-01T07:56:09.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Blueprint
filter_blueprint = Blueprint('filters', __name__)
# Register all the filter.
from . import time_process, text_process, user_manage | 29.428571 | 53 | 0.747573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.38835 |
05e10cbd60c9a8c4e9d6e849c57e56e13a3dc1f5 | 3,596 | py | Python | Code/network_model_HiCoDe.py | AbinavRavi/Network_Analysis_Eur_Parl | dea84d3375eea07676e0193d575e3deef76312bc | [
"MIT"
] | 1 | 2020-12-15T16:35:20.000Z | 2020-12-15T16:35:20.000Z | Code/network_model_HiCoDe.py | AbinavRavi/Network_Analysis_Eur_Parl | dea84d3375eea07676e0193d575e3deef76312bc | [
"MIT"
] | null | null | null | Code/network_model_HiCoDe.py | AbinavRavi/Network_Analysis_Eur_Parl | dea84d3375eea07676e0193d575e3deef76312bc | [
"MIT"
] | null | null | null | import numpy as np
import scipy as sp
import pandas as pd
import ast
import itertools
from itertools import product
from collections import Counter
import networkx as nx
import network_utils as nu
import hicode as hc
import matplotlib.pyplot as plt
import matplotlib.cm as cm
plt.style.use('classic')
# ------------... | 38.666667 | 121 | 0.547553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,873 | 0.520857 |
05e2589d4291356b8e585fa87a27f0d7fe177954 | 209 | py | Python | py_battlescribe/shared/rules.py | akabbeke/py_battlescribe | 7f96d44295d46810268e666394e3e3238a6f2c61 | [
"MIT"
] | 1 | 2021-11-17T22:00:21.000Z | 2021-11-17T22:00:21.000Z | py_battlescribe/shared/rules.py | akabbeke/py_battlescribe | 7f96d44295d46810268e666394e3e3238a6f2c61 | [
"MIT"
] | null | null | null | py_battlescribe/shared/rules.py | akabbeke/py_battlescribe | 7f96d44295d46810268e666394e3e3238a6f2c61 | [
"MIT"
] | null | null | null | from ..bs_node.iterable import BSNodeIterable
from ..bs_reference.iter import BSReferenceIter
class SharedRules(BSNodeIterable):
_tag_name = 'sharedRules'
_iter_child_class = BSReferenceIter('Rule') | 26.125 | 47 | 0.794258 | 113 | 0.54067 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.090909 |
05e43c552c5879146cf3f036c106616fa493ebaa | 5,487 | py | Python | priorgen/pca_utils.py | joshjchayes/PriorGen | 228be0b06dca29ad2ad33ae216f494eaead6161f | [
"MIT"
] | 1 | 2021-12-09T10:29:20.000Z | 2021-12-09T10:29:20.000Z | priorgen/pca_utils.py | joshjchayes/PriorGen | 228be0b06dca29ad2ad33ae216f494eaead6161f | [
"MIT"
] | null | null | null | priorgen/pca_utils.py | joshjchayes/PriorGen | 228be0b06dca29ad2ad33ae216f494eaead6161f | [
"MIT"
] | null | null | null | '''
pca_utils.py
Module containing functions to run PCAs, and generate diagnostic plots
'''
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import numpy as np
def run_PCA(parameters, observables, n_components):
'''
Runs a principal component analysis to reduce dimensionality of
o... | 35.862745 | 111 | 0.686896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,072 | 0.742118 |
05e5ab63cfbf61b1260c3430dac86bcf4cae1b06 | 17,452 | py | Python | prompt_tuning/data/super_glue.py | techthiyanes/prompt-tuning | 9f4d7082aa6dbd955e38488d6d3fa5a7c039f6c7 | [
"Apache-2.0"
] | 108 | 2021-11-05T21:44:27.000Z | 2022-03-31T14:19:30.000Z | prompt_tuning/data/super_glue.py | techthiyanes/prompt-tuning | 9f4d7082aa6dbd955e38488d6d3fa5a7c039f6c7 | [
"Apache-2.0"
] | 172 | 2022-02-01T00:08:39.000Z | 2022-03-31T12:44:07.000Z | prompt_tuning/data/super_glue.py | dumpmemory/prompt-tuning | bac77e4f5107b4a89f89c49b14d8fe652b1c5734 | [
"Apache-2.0"
] | 9 | 2022-01-16T11:55:18.000Z | 2022-03-06T23:26:36.000Z | # Copyright 2022 Google.
#
# 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, soft... | 42.77451 | 80 | 0.67276 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,377 | 0.422702 |
05e5bab9ff77cdee550c0152d15077d78e190eff | 952 | py | Python | src/runtime/tasks.py | HitLuca/predict-python | 14f2f55cb29f817a5871d4c0b11a3758285301ca | [
"MIT"
] | null | null | null | src/runtime/tasks.py | HitLuca/predict-python | 14f2f55cb29f817a5871d4c0b11a3758285301ca | [
"MIT"
] | null | null | null | src/runtime/tasks.py | HitLuca/predict-python | 14f2f55cb29f817a5871d4c0b11a3758285301ca | [
"MIT"
] | null | null | null | from django_rq.decorators import job
from src.core.core import runtime_calculate
from src.jobs.models import JobStatuses
from src.jobs.ws_publisher import publish
from src.logs.models import Log
from src.utils.file_service import get_log
@job("default", timeout='1h')
def runtime_task(job, model):
print("Start ru... | 30.709677 | 65 | 0.657563 | 0 | 0 | 0 | 0 | 710 | 0.745798 | 0 | 0 | 69 | 0.072479 |
05e6f09ddfc0212cb3f08469b5c83b81051137ad | 99 | py | Python | django_models_from_csv/__init__.py | themarshallproject/django-collaborative | 1474b9737eaea35eb11b39380b35c2a801831d9c | [
"MIT"
] | 88 | 2019-05-17T19:52:44.000Z | 2022-03-28T19:43:07.000Z | django_models_from_csv/__init__.py | themarshallproject/django-collaborative | 1474b9737eaea35eb11b39380b35c2a801831d9c | [
"MIT"
] | 65 | 2019-05-17T20:06:18.000Z | 2021-01-13T03:51:07.000Z | django_models_from_csv/__init__.py | themarshallproject/django-collaborative | 1474b9737eaea35eb11b39380b35c2a801831d9c | [
"MIT"
] | 15 | 2019-07-09T20:48:14.000Z | 2021-07-24T20:45:55.000Z | default_app_config = 'django_models_from_csv.apps.DjangoDynamicModelsConfig'
__version__ = "1.1.0"
| 33 | 76 | 0.838384 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0.626263 |
05e70bf4fcafed340bac69f51837c437a43b38d8 | 93 | py | Python | utensor_cgen/backend/utensor/code_generator/__init__.py | uTensor/utensor_cgen | eccd6859028d0b6a350dced25ea72ff02faaf9ad | [
"Apache-2.0"
] | 49 | 2018-01-06T12:57:56.000Z | 2021-09-03T09:48:32.000Z | utensor_cgen/backend/utensor/code_generator/__init__.py | uTensor/utensor_cgen | eccd6859028d0b6a350dced25ea72ff02faaf9ad | [
"Apache-2.0"
] | 101 | 2018-01-16T19:24:21.000Z | 2021-11-10T19:39:33.000Z | utensor_cgen/backend/utensor/code_generator/__init__.py | uTensor/utensor_cgen | eccd6859028d0b6a350dced25ea72ff02faaf9ad | [
"Apache-2.0"
] | 32 | 2018-02-15T19:39:50.000Z | 2020-11-26T22:32:05.000Z | from .legacy import uTensorLegacyCodeGenerator
from .rearch import uTensorRearchCodeGenerator | 46.5 | 46 | 0.903226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
05ec45e9e0486f8c0920e8e4a6acabaf4897caee | 417 | py | Python | ch3/ricolisp/token.py | unoti/rico-lisp | 367f625dcd086e207515bdeb5561763754a3531c | [
"MIT"
] | null | null | null | ch3/ricolisp/token.py | unoti/rico-lisp | 367f625dcd086e207515bdeb5561763754a3531c | [
"MIT"
] | null | null | null | ch3/ricolisp/token.py | unoti/rico-lisp | 367f625dcd086e207515bdeb5561763754a3531c | [
"MIT"
] | null | null | null | from collections import UserString
from typing import List
class Token(UserString):
"""A string that has additional information about the source code for the string."""
def __init__(self, s: str, line_number:int, character_number: int, filename: str = None):
super().__init__(s)
self.line_numbe... | 37.909091 | 93 | 0.717026 | 356 | 0.853717 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 0.201439 |
05ed3bd6a82da190685915c3b42fde3a3b5e118a | 2,655 | py | Python | utils.py | ali-ramadhan/wxConch | 1106ce17d25f96a038ca784029261faafd7cfaf9 | [
"MIT"
] | 1 | 2019-03-09T01:10:59.000Z | 2019-03-09T01:10:59.000Z | utils.py | ali-ramadhan/weather-prediction-model-consensus | 1106ce17d25f96a038ca784029261faafd7cfaf9 | [
"MIT"
] | 1 | 2019-08-19T12:26:06.000Z | 2019-08-19T12:26:06.000Z | utils.py | ali-ramadhan/weather-prediction-model-consensus | 1106ce17d25f96a038ca784029261faafd7cfaf9 | [
"MIT"
] | null | null | null | import os
import time
import math
import logging.config
from datetime import datetime
from subprocess import run
from urllib.request import urlopen, urlretrieve
from urllib.parse import urlparse, urljoin
import smtplib, ssl
from os.path import basename
from email.mime.application import MIMEApplication
from email.mime... | 28.858696 | 98 | 0.680979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 529 | 0.199247 |
05ed9c8e8fd31a9e77da54a3f25437648359aef1 | 1,987 | py | Python | aiida_fleur/cmdline/__init__.py | sphuber/aiida-fleur | df33e9a7b993a52c15a747a4ff23be3e19832b8d | [
"MIT"
] | null | null | null | aiida_fleur/cmdline/__init__.py | sphuber/aiida-fleur | df33e9a7b993a52c15a747a4ff23be3e19832b8d | [
"MIT"
] | null | null | null | aiida_fleur/cmdline/__init__.py | sphuber/aiida-fleur | df33e9a7b993a52c15a747a4ff23be3e19832b8d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
###############################################################################
# Copyright (c), Forschungszentrum Jülich GmbH, IAS-1/PGI-1, Germany. #
# All rights reserved. #
# This file is part of the AiiDA-FLEUR package. ... | 43.195652 | 85 | 0.622043 | 0 | 0 | 0 | 0 | 252 | 0.126761 | 0 | 0 | 1,455 | 0.731891 |
05efd08ce434309fea6a153caaf4f36da65f692b | 243 | py | Python | textract/parsers/doc_parser.py | Pandaaaa906/textract | cee75460d3d43f0aa6f4967c6ccf069ee79fc560 | [
"MIT"
] | 1,950 | 2015-01-01T18:30:11.000Z | 2022-03-30T21:06:41.000Z | textract/parsers/doc_parser.py | nike199000/textract | 9d739f807351fd9e430a193eca853f5f2171a82a | [
"MIT"
] | 322 | 2015-01-05T09:54:45.000Z | 2022-03-28T17:47:15.000Z | textract/parsers/doc_parser.py | nike199000/textract | 9d739f807351fd9e430a193eca853f5f2171a82a | [
"MIT"
] | 470 | 2015-01-14T11:51:42.000Z | 2022-03-23T07:05:46.000Z | from .utils import ShellParser
class Parser(ShellParser):
"""Extract text from doc files using antiword.
"""
def extract(self, filename, **kwargs):
stdout, stderr = self.run(['antiword', filename])
return stdout
| 22.090909 | 57 | 0.654321 | 209 | 0.860082 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.263374 |
05f2bf19df0a5655faf30da01ad995b33a5ff920 | 4,674 | py | Python | create_multi_langs/command_line.py | mychiux413/ConstConv | 6c2190d1bb37ae5cfef8464f88371db97719b032 | [
"MIT"
] | null | null | null | create_multi_langs/command_line.py | mychiux413/ConstConv | 6c2190d1bb37ae5cfef8464f88371db97719b032 | [
"MIT"
] | null | null | null | create_multi_langs/command_line.py | mychiux413/ConstConv | 6c2190d1bb37ae5cfef8464f88371db97719b032 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import absolute_import
from create_multi_langs.creater.go import CreaterGo
from create_multi_langs.creater.python import CreaterPython
from create_multi_langs.creater.python_typing import CreaterPythonTyping
from create_multi_langs.creater.typescript_backend import CreaterTypeScrip... | 37.095238 | 99 | 0.627942 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,176 | 0.251605 |
05f359b7dd7f8c17e74d1e4576ab789a5ca9047c | 297 | py | Python | test_resources/run_tests.py | tud-python-courses/lesson-builder | 11b1cc958723e9f75de27cde68daa0fdc18b929f | [
"MIT"
] | null | null | null | test_resources/run_tests.py | tud-python-courses/lesson-builder | 11b1cc958723e9f75de27cde68daa0fdc18b929f | [
"MIT"
] | null | null | null | test_resources/run_tests.py | tud-python-courses/lesson-builder | 11b1cc958723e9f75de27cde68daa0fdc18b929f | [
"MIT"
] | null | null | null | __author__ = 'Justus Adam'
__version__ = '0.1'
def main():
import unittest
import sys
import os
m = os.path.dirname(__file__)
sys.path = [m, os.path.split(m)[0]] + sys.path
import test
unittest.main(test)
if __name__ == '__main__':
main()
else:
del main | 13.5 | 50 | 0.606061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.094276 |
05f89c6e9f8cabc37acf4ef72901aa6289131ace | 15,798 | py | Python | parse_to_latex.py | bkolosk1/bkolosk1-CrossLingualKeywords | 27cdc5075d1e30b02bb38891933a8fbb51957899 | [
"MIT"
] | 2 | 2021-04-19T23:57:58.000Z | 2021-11-02T08:40:16.000Z | parse_to_latex.py | bkolosk1/bkolosk1-CrossLingualKeywords | 27cdc5075d1e30b02bb38891933a8fbb51957899 | [
"MIT"
] | 1 | 2021-11-22T09:05:10.000Z | 2021-11-22T09:05:10.000Z | bert/parse_to_latex.py | bkolosk1/Extending-Neural-Keyword-Extraction-with-TF-IDF-tagset-matching | d52b9b9e1fb9130239479b1830b0930161672325 | [
"MIT"
] | null | null | null | import re
def parse_to_latex():
configs = ['nolm', 'lm', 'maskedlm', 'lm+bp', 'lm+pos', 'lm+rnn', 'lm+bpe+rnn', 'lm+bpe+crf']
datasets = ['kp20k', 'inspec', 'krapivin', 'nus', 'semeval', 'kptimes', 'jptimes', 'duc']
config_dict = {}
with open('class_results-FINAL.txt', 'r', encoding='utf8') as file:
... | 50.152381 | 223 | 0.44993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10,211 | 0.646348 |
05fd8b2f68e0ad751b568376c91ded4488f3dd84 | 55,975 | py | Python | cc_bm_parallel_pyr_dev.py | xdenisx/ice_drift_pc_ncc | f2992329e8509dafcd37596271e80cbf652d14cb | [
"MIT"
] | 3 | 2021-11-10T04:03:10.000Z | 2022-02-27T10:36:02.000Z | cc_bm_parallel_pyr_dev.py | xdenisx/ice_drift_pc_ncc | f2992329e8509dafcd37596271e80cbf652d14cb | [
"MIT"
] | 1 | 2021-10-12T17:29:53.000Z | 2021-10-12T17:29:53.000Z | cc_bm_parallel_pyr_dev.py | xdenisx/ice_drift_pc_ncc | f2992329e8509dafcd37596271e80cbf652d14cb | [
"MIT"
] | null | null | null | import matplotlib
matplotlib.use('Agg')
# coding: utf-8
#
# Ice drift retrieval algorithm based on [1] from a pair of SAR images
# [1] J. P. Lewis, "Fast Normalized Cross-Correlation", Industrial Light and Magic.
#
##################################################
# Last modification: 22 July, 2019
# TODO:
# 1) Pyrami... | 35.517132 | 716 | 0.553318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20,725 | 0.370255 |
05fe79efe59900fb39e193105ec376940b5bbe44 | 426 | py | Python | tests/test_version.py | hsh-nids/python-betterproto | f5d3b48b1aa49fd64513907ed70124b32758ad3e | [
"MIT"
] | 708 | 2019-10-11T06:23:40.000Z | 2022-03-31T09:39:08.000Z | tests/test_version.py | hsh-nids/python-betterproto | f5d3b48b1aa49fd64513907ed70124b32758ad3e | [
"MIT"
] | 302 | 2019-11-11T22:09:21.000Z | 2022-03-29T11:21:04.000Z | tests/test_version.py | hsh-nids/python-betterproto | f5d3b48b1aa49fd64513907ed70124b32758ad3e | [
"MIT"
] | 122 | 2019-12-04T16:22:53.000Z | 2022-03-20T09:31:10.000Z | from betterproto import __version__
from pathlib import Path
import tomlkit
PROJECT_TOML = Path(__file__).joinpath("..", "..", "pyproject.toml").resolve()
def test_version():
with PROJECT_TOML.open() as toml_file:
project_config = tomlkit.loads(toml_file.read())
assert (
__version__ == projec... | 30.428571 | 78 | 0.706573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.251174 |
af01a3ec2accdacee77c90151e5eed151050b732 | 383 | py | Python | PythonMundoDois/ex048.py | HendrylNogueira/CursoPython3 | c3d9d4e2a27312b83d744aaf0f8d01b26e6faf4f | [
"MIT"
] | null | null | null | PythonMundoDois/ex048.py | HendrylNogueira/CursoPython3 | c3d9d4e2a27312b83d744aaf0f8d01b26e6faf4f | [
"MIT"
] | null | null | null | PythonMundoDois/ex048.py | HendrylNogueira/CursoPython3 | c3d9d4e2a27312b83d744aaf0f8d01b26e6faf4f | [
"MIT"
] | null | null | null | '''Faça um programa que calcule a soma entre todos os números impares que são múltiplos de três e que se encontram
no intervalo de 1 até 500. '''
cont = 0
total = 0
for soma in range(1, 501, 2):
if soma % 3 == 0:
cont += 1
total += soma
print(f'Foram encontrados {cont} valores coma as característic... | 31.916667 | 114 | 0.67624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 262 | 0.670077 |
af029a134b4e84a7dca43a17a1ce48c9d78abdd2 | 9,722 | py | Python | Models.py | BradHend/machine_learning_from_scratch | 6c83f17d1c48da9ad3df902b3090a8cb2c544f15 | [
"MIT"
] | null | null | null | Models.py | BradHend/machine_learning_from_scratch | 6c83f17d1c48da9ad3df902b3090a8cb2c544f15 | [
"MIT"
] | null | null | null | Models.py | BradHend/machine_learning_from_scratch | 6c83f17d1c48da9ad3df902b3090a8cb2c544f15 | [
"MIT"
] | null | null | null | """classes and methods for different model architectures
"""
#python packages
import numpy as np
# Machine Learning from Scratch packages
from Layers import FullyConnected
from utils.optimizers import *
class NeuralNet():
"""
Linear stack of layers.
"""
def __init__(self, layers=None):
# Add ... | 40.508333 | 123 | 0.54783 | 9,516 | 0.978811 | 0 | 0 | 0 | 0 | 0 | 0 | 3,923 | 0.403518 |
af03e1bca2e6bcaf4e2f161d2b4078d32b20e402 | 421 | py | Python | tests/parser/aggregates.count.assignment.17.test.py | veltri/DLV2 | 944aaef803aa75e7ec51d7e0c2b0d964687fdd0e | [
"Apache-2.0"
] | null | null | null | tests/parser/aggregates.count.assignment.17.test.py | veltri/DLV2 | 944aaef803aa75e7ec51d7e0c2b0d964687fdd0e | [
"Apache-2.0"
] | null | null | null | tests/parser/aggregates.count.assignment.17.test.py | veltri/DLV2 | 944aaef803aa75e7ec51d7e0c2b0d964687fdd0e | [
"Apache-2.0"
] | null | null | null | input = """
a(S,T,Z) :- #count{X: r(T,X)} = Z, #count{W: q(W,S)} = T, #count{K: p(K,Y)} = S.
q(1,1).
q(2,2).
r(1,1).
r(1,2).
r(1,3).
r(2,2).
r(3,3).
p(1,1).
p(2,2).
%out{ a(2,1,3) }
%repository error
"""
output = """
a(S,T,Z) :- #count{X: r(T,X)} = Z, #count{W: q(W,S)} = T, #count{K: p(K,Y)} = S.
q(1,1).
q(2,2)... | 10.268293 | 80 | 0.420428 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 402 | 0.954869 |
af055ba7a6d6cbe2445070c4e478e7e26c56dad3 | 1,724 | py | Python | ipmi_power_manager.py | spirkaa/ansible-homelab | 94138c85ddb132a08dab55b4e9a9b43160d02c76 | [
"MIT"
] | null | null | null | ipmi_power_manager.py | spirkaa/ansible-homelab | 94138c85ddb132a08dab55b4e9a9b43160d02c76 | [
"MIT"
] | null | null | null | ipmi_power_manager.py | spirkaa/ansible-homelab | 94138c85ddb132a08dab55b4e9a9b43160d02c76 | [
"MIT"
] | null | null | null | import argparse
import logging
import os
import requests
import urllib3
from dotenv import load_dotenv
logger = logging.getLogger("__name__")
logging.basicConfig(
format="%(asctime)s [%(levelname)8s] [%(name)s:%(lineno)s:%(funcName)20s()] --- %(message)s",
level=logging.INFO,
)
logging.getLogger("... | 28.262295 | 101 | 0.728538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 537 | 0.311485 |
af05ab26695bad32472af5a5dde8334bddbea53d | 1,572 | py | Python | pyhsi/gui/graphics.py | rddunphy/pyHSI | b55c2a49568e04e0a2fb39da01cfe1f129bc86a4 | [
"MIT"
] | null | null | null | pyhsi/gui/graphics.py | rddunphy/pyHSI | b55c2a49568e04e0a2fb39da01cfe1f129bc86a4 | [
"MIT"
] | null | null | null | pyhsi/gui/graphics.py | rddunphy/pyHSI | b55c2a49568e04e0a2fb39da01cfe1f129bc86a4 | [
"MIT"
] | null | null | null | """Stuff to do with processing images and loading icons"""
import importlib.resources as res
import cv2
import PySimpleGUI as sg
def get_application_icon():
"""Get the PyHSI icon for this OS (.ico for Windows, .png otherwise)"""
return res.read_binary("pyhsi.gui.icons", "pyhsi.png")
def get_icon(icon_name... | 31.44 | 83 | 0.667939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 0.251272 |
af0729cb1679e26625740cd816c3bcd5296cbb19 | 315 | py | Python | configs/densenet169_lr_0.001.py | FeiYuejiao/NLP_Pretrain | 7aa4693c31a7bba9b90f401d2586ef154dd7fb81 | [
"MIT"
] | null | null | null | configs/densenet169_lr_0.001.py | FeiYuejiao/NLP_Pretrain | 7aa4693c31a7bba9b90f401d2586ef154dd7fb81 | [
"MIT"
] | 1 | 2020-12-30T13:49:29.000Z | 2020-12-30T13:49:29.000Z | configs/densenet169_lr_0.001.py | FeiYuejiao/NLP_Pretrain | 7aa4693c31a7bba9b90f401d2586ef154dd7fb81 | [
"MIT"
] | null | null | null | lr = 0.001
model_path = 'model/IC_models/densenet169_lr_0.001/'
crop_size = 32
log_step = 10
save_step = 500
num_epochs = 400
batch_size = 256
num_workers = 8
loading = False
# lr
# Model parameters
model = dict(
net='densenet169',
embed_size=256,
hidden_size=512,
num_layers=1,
resnet=101
)
| 14.318182 | 52 | 0.695238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.234921 |
af08ea1d739ab24c301e649fcfca7bffa176fb4c | 3,750 | py | Python | src/models/metapop.py | TLouf/multiling-twitter | 9a39b5b70da53ca717cb74480697f3756a95b8e4 | [
"RSA-MD"
] | 1 | 2021-05-09T15:42:04.000Z | 2021-05-09T15:42:04.000Z | src/models/metapop.py | TLouf/multiling-twitter | 9a39b5b70da53ca717cb74480697f3756a95b8e4 | [
"RSA-MD"
] | 3 | 2020-10-21T09:04:03.000Z | 2021-06-02T02:05:13.000Z | src/models/metapop.py | TLouf/multiling-twitter | 9a39b5b70da53ca717cb74480697f3756a95b8e4 | [
"RSA-MD"
] | null | null | null | '''
Implements the computation of the time derivatives and associated Jacobian
corresponding to the approximated equations in a metapopulation. Added kwargs in
every function so that we may reuse the parameter dictionary used in the models,
even if some of the parameters it contains are not used in these functions.
'''... | 37.128713 | 80 | 0.553333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 898 | 0.239467 |
af0a0e2a3cb4cd7ca612fe33ee2283d0d807bbec | 2,759 | py | Python | abstract_tiles.py | CompassMentis/towers_of_strength | 405af4dc114bd15fed24135b050267a2126c9d52 | [
"MIT"
] | null | null | null | abstract_tiles.py | CompassMentis/towers_of_strength | 405af4dc114bd15fed24135b050267a2126c9d52 | [
"MIT"
] | 1 | 2019-10-12T10:31:24.000Z | 2019-10-12T10:31:24.000Z | abstract_tiles.py | CompassMentis/towers_of_strength | 405af4dc114bd15fed24135b050267a2126c9d52 | [
"MIT"
] | null | null | null | import pygame
from settings import Settings
from vector import Vector
import utils
class AbstractTile:
pass
class AbstractStaticTile(AbstractTile):
IMAGE_FOLDER = 'static_tiles'
def __init__(self, code, filename, with_sparkle=False):
self.code = code
self.filename = filename
se... | 29.98913 | 119 | 0.642987 | 2,666 | 0.966292 | 0 | 0 | 732 | 0.265314 | 0 | 0 | 499 | 0.180863 |
af0a3c55728ddc9080f992028fc9b392f3c49b8c | 657 | py | Python | code/examples/classifier_compression/save_weights_cifar10.py | he-actlab/waveq.code | 024d55af6d989d4074d3e555d03b76a2f7eac209 | [
"CNRI-Python"
] | 1 | 2020-04-09T03:21:32.000Z | 2020-04-09T03:21:32.000Z | code/examples/classifier_compression/save_weights_cifar10.py | he-actlab/waveq.code | 024d55af6d989d4074d3e555d03b76a2f7eac209 | [
"CNRI-Python"
] | 4 | 2020-09-26T00:53:47.000Z | 2022-02-10T01:23:34.000Z | code/examples/classifier_compression/save_weights_cifar10.py | sinreq-learn/sinreq-learn.code | a205d3fa22a41d5f4fc1ef1e5698c4f1dbb11e6a | [
"BSD-4-Clause-UC"
] | null | null | null | import torch
import numpy as np
filename = '2020.01.12-044406'
model = torch.load('logs/'+filename+'/checkpoint.pth.tar')
k1 = model['state_dict']['module.conv1.weight'].data.cpu().numpy()
k2 = model['state_dict']['module.conv2.weight'].data.cpu().numpy()
k3 = model['state_dict']['module.fc1.weight'].data.cpu().numpy(... | 41.0625 | 66 | 0.721461 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 346 | 0.526636 |
af0ab77a97059c19f88a0b36ce01422819f17356 | 2,174 | py | Python | tests/app/dao/test_marketings_dao.py | kentsanggds/api | 651cdf7d496690722d6a4f5b51f04f4be97899d4 | [
"MIT"
] | 1 | 2018-10-12T15:04:31.000Z | 2018-10-12T15:04:31.000Z | tests/app/dao/test_marketings_dao.py | kentsanggds/api | 651cdf7d496690722d6a4f5b51f04f4be97899d4 | [
"MIT"
] | 169 | 2017-11-07T00:45:25.000Z | 2022-03-12T00:08:59.000Z | tests/app/dao/test_marketings_dao.py | kentsanggds/api | 651cdf7d496690722d6a4f5b51f04f4be97899d4 | [
"MIT"
] | 1 | 2019-08-15T14:51:31.000Z | 2019-08-15T14:51:31.000Z | from sqlalchemy.exc import IntegrityError
import pytest
from app.dao.marketings_dao import (
dao_update_marketing, dao_get_marketing_by_id, dao_get_marketings
)
from app.models import Marketing
from tests.db import create_marketing
class WhenUsingMarketingsDAO(object):
def it_creates_an_marketing(self, db_... | 38.821429 | 95 | 0.75069 | 1,933 | 0.889144 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.036799 |
af0ac97f6ae7709623b9997f5f301e7547049b9a | 14,898 | py | Python | tracetools_analysis/tracetools_analysis/data_model/ros2.py | christophebedard/tracetools_analysis | 1dfb747b62311ee370ed392a0ad4a5cd2d11d3be | [
"Apache-2.0"
] | 6 | 2020-04-02T21:10:09.000Z | 2021-06-07T06:56:16.000Z | tracetools_analysis/tracetools_analysis/data_model/ros2.py | christophebedard/tracetools_analysis | 1dfb747b62311ee370ed392a0ad4a5cd2d11d3be | [
"Apache-2.0"
] | null | null | null | tracetools_analysis/tracetools_analysis/data_model/ros2.py | christophebedard/tracetools_analysis | 1dfb747b62311ee370ed392a0ad4a5cd2d11d3be | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Robert Bosch GmbH
# Copyright 2020-2021 Christophe Bedard
#
# 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 requir... | 37.716456 | 94 | 0.631293 | 14,130 | 0.948449 | 0 | 0 | 0 | 0 | 0 | 0 | 2,794 | 0.187542 |
af0d81f9655852ff10a8be8a0499f540fd5bf5d2 | 1,543 | py | Python | setup.py | KunihikoKido/elasticsearch-fabric | 5dea163b455f954d31dc685cf2b4fec077aee50a | [
"MIT"
] | 10 | 2016-12-17T03:37:43.000Z | 2019-09-09T23:00:40.000Z | setup.py | KunihikoKido/elasticsearch-fabric | 5dea163b455f954d31dc685cf2b4fec077aee50a | [
"MIT"
] | null | null | null | setup.py | KunihikoKido/elasticsearch-fabric | 5dea163b455f954d31dc685cf2b4fec077aee50a | [
"MIT"
] | null | null | null | # coding=utf-8
import os
from distutils.spawn import find_executable
from setuptools import setup, find_packages
import sys
sys.path.append('./test')
from esfabric import __version__
with open(os.path.join(os.path.dirname(__file__), 'README.md')) as readme:
README = readme.read()
if os.path.exists(os.path.join... | 32.829787 | 101 | 0.695399 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 600 | 0.388853 |
af0fe57c93b0182742617678b6b627538eed3937 | 673 | py | Python | exhibit/catalogue/migrations/0008_auto_20190809_1822.py | yrhooke/exhibit-proj | 899f340390761423f8d2fe7f1edbad4e9f79435e | [
"MIT"
] | null | null | null | exhibit/catalogue/migrations/0008_auto_20190809_1822.py | yrhooke/exhibit-proj | 899f340390761423f8d2fe7f1edbad4e9f79435e | [
"MIT"
] | null | null | null | exhibit/catalogue/migrations/0008_auto_20190809_1822.py | yrhooke/exhibit-proj | 899f340390761423f8d2fe7f1edbad4e9f79435e | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2019-08-09 18:22
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('catalogue', '0007_auto_20190809_1735'),
]
operations = [
migrations.AlterField(
model_name='artwo... | 26.92 | 130 | 0.619614 | 549 | 0.81575 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.215453 |
af13b442639e939a58e7ab827a12150bdfb1b715 | 3,455 | py | Python | utils.py | cedias/Hierarchical-Sentiment | 19dbbae45707839d380f07e09e24f47c8267e72e | [
"MIT"
] | 107 | 2018-01-16T13:57:54.000Z | 2022-03-14T14:44:31.000Z | utils.py | cedias/Hierarchical-Sentiment | 19dbbae45707839d380f07e09e24f47c8267e72e | [
"MIT"
] | 5 | 2018-07-05T06:01:11.000Z | 2019-11-16T13:14:09.000Z | utils.py | cedias/Hierarchical-Sentiment | 19dbbae45707839d380f07e09e24f47c8267e72e | [
"MIT"
] | 25 | 2018-02-02T05:46:42.000Z | 2021-03-23T17:08:15.000Z | #utils.py
import torch
from tqdm import tqdm
from torch.autograd import Variable
from fmtl import FMTL
def tuple2var(tensors,data):
def copy2tensor(t,data):
t.resize_(data.size()).copy_(data,async=True)
return Variable(t)
return tuple(map(copy2tensor,tensors,data))
def new_tensors(n,cuda,type... | 30.848214 | 121 | 0.621708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 777 | 0.224891 |
af15f4dafca99a33d4cb28c9e33b6eb81ea8619b | 2,867 | py | Python | Back/ecoreleve_be_server/Models/Import.py | NaturalSolutions/ecoReleve-BE | e120be8236d3f16d4a698058dcf43a4ed8b18e7b | [
"MIT"
] | 2 | 2019-01-22T15:19:48.000Z | 2019-07-18T06:55:29.000Z | Back/ecoreleve_be_server/Models/Import.py | NaturalSolutions/ecoReleve-BE | e120be8236d3f16d4a698058dcf43a4ed8b18e7b | [
"MIT"
] | 2 | 2018-04-04T15:48:24.000Z | 2018-08-29T11:01:26.000Z | Back/ecoreleve_be_server/Models/Import.py | NaturalSolutions/ecoReleve-BE | e120be8236d3f16d4a698058dcf43a4ed8b18e7b | [
"MIT"
] | 2 | 2018-02-26T11:50:22.000Z | 2018-03-13T08:16:42.000Z | # from ..Models import Base, dbConfig
# from sqlalchemy import (
# Column,
# DateTime,
# ForeignKey,
# Integer,
# Numeric,
# String,
# Unicode,
# text,
# Sequence,
# orm,
# func,
# select,
# bindparam,
# UniqueConstraint,
# event)
# from sqlalchemy.orm import ... | 32.213483 | 92 | 0.618068 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,779 | 0.969306 |
af16c33bdba13b28d77f33ac28f80dcfc81a9c64 | 11,704 | py | Python | bin/server.py | tolstoyevsky/blackmagic | 0be5f041cbd42d9fb140957f0946d0ac7cb68848 | [
"Apache-2.0"
] | null | null | null | bin/server.py | tolstoyevsky/blackmagic | 0be5f041cbd42d9fb140957f0946d0ac7cb68848 | [
"Apache-2.0"
] | 3 | 2018-12-08T16:51:11.000Z | 2020-10-16T09:39:00.000Z | bin/server.py | tolstoyevsky/blackmagic | 0be5f041cbd42d9fb140957f0946d0ac7cb68848 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import logging
import os
import os.path
import tornado.web
import tornado.options
from appleseed import AlpineIndexFile, DebianIndexFile
from cdtz import set_time_zone
from motor import MotorClient
from shirow.ioloop import IOLoop
from shirow.server import RPCServer, TOKEN_PATTERN, remote
from t... | 32.242424 | 102 | 0.655161 | 8,547 | 0.730263 | 0 | 0 | 6,060 | 0.517772 | 6,531 | 0.558014 | 1,178 | 0.100649 |