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cf938a4c23d460c727e0aec9347ad4f5e6ef02f9 | 6,373 | py | Python | test/test_oscope_tf.py | alexisboukouvalas/OscoNet | f100d1ccfe8f7dad050a3082773a4b6383a4994a | [
"MIT"
] | 1 | 2020-09-03T10:00:44.000Z | 2020-09-03T10:00:44.000Z | test/test_oscope_tf.py | alexisboukouvalas/OscoNet | f100d1ccfe8f7dad050a3082773a4b6383a4994a | [
"MIT"
] | 1 | 2022-02-10T02:22:05.000Z | 2022-02-10T02:22:05.000Z | test/test_oscope_tf.py | alexisboukouvalas/OscoNet | f100d1ccfe8f7dad050a3082773a4b6383a4994a | [
"MIT"
] | 1 | 2019-09-25T16:44:30.000Z | 2019-09-25T16:44:30.000Z | """
TensorFlow 2 OscoNet code
"""
import numpy as np
import pytest
import tensorflow as tf
from OscopeBootstrap import qvalue
from OscopeBootstrap.create_edge_network_represention import create_edge_network_representation
from OscopeBootstrap.oscope_tf import PRECISION_fp, calc_e2, calc_e2_many_genes, find_best_psi_fo... | 40.852564 | 133 | 0.672682 | 0 | 0 | 0 | 0 | 1,515 | 0.237722 | 0 | 0 | 861 | 0.135101 |
cf9459db5ea16ef4050b20b3369b43e59a337980 | 127 | py | Python | instaapp/tests.py | martinmandina/InstagramApp | 89ab7b8e0b85d49f220fec3c55327dedea9f1b47 | [
"MIT"
] | null | null | null | instaapp/tests.py | martinmandina/InstagramApp | 89ab7b8e0b85d49f220fec3c55327dedea9f1b47 | [
"MIT"
] | null | null | null | instaapp/tests.py | martinmandina/InstagramApp | 89ab7b8e0b85d49f220fec3c55327dedea9f1b47 | [
"MIT"
] | null | null | null | from django.test import TestCase
from .models import Profile,Image,Comments
import datetime as dt
# Create your tests here.
| 15.875 | 42 | 0.795276 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.19685 |
cf95eb4bdfd3378b91c202518528f3335389e6e3 | 370 | py | Python | texts/objects/cache/base.py | nicolay-r/frame-based-attitude-extraction-workflow | f20e6d17a9eb6613028545b889c74626a8260ccd | [
"MIT"
] | null | null | null | texts/objects/cache/base.py | nicolay-r/frame-based-attitude-extraction-workflow | f20e6d17a9eb6613028545b889c74626a8260ccd | [
"MIT"
] | 6 | 2020-10-03T13:45:38.000Z | 2021-07-13T18:31:57.000Z | texts/objects/cache/base.py | nicolay-r/frame-based-attitude-extraction-workflow | f20e6d17a9eb6613028545b889c74626a8260ccd | [
"MIT"
] | null | null | null | from texts.text_info import NewsSentenceInfo
class BaseObjectCache:
"""
Base Cache for NER data (API).
"""
TITLE_SENT_IND = NewsSentenceInfo.TITLE_SENT_IND
def __init__(self):
pass
def is_news_registered(self, news_id):
raise NotImplementedError()
def try_get(self, file... | 19.473684 | 52 | 0.681081 | 322 | 0.87027 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.124324 |
cf96ec46a9f75ae061cfdda9d111b67ea90fbbf5 | 458 | py | Python | LC/9.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | 2 | 2018-02-24T17:20:02.000Z | 2018-02-24T17:25:43.000Z | LC/9.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | null | null | null | LC/9.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | null | null | null | class Solution(object):
def isPalindrome(self, x):
"""
:type x: int
:rtype: bool
"""
if x<0:
return False
a=x
b=0
while(a!=0):
# 1. get last digit of a and add to b, b=b*10+lastdigit
b=b*10+a%10
... | 24.105263 | 67 | 0.423581 | 458 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.362445 |
cf9753a080d8359212476544e2f2019880886fa3 | 1,451 | py | Python | children/tests/snapshots/snap_test_notifications.py | City-of-Helsinki/kukkuu | 61f26bc622928fd04f6a397f832aaffff789e806 | [
"MIT"
] | null | null | null | children/tests/snapshots/snap_test_notifications.py | City-of-Helsinki/kukkuu | 61f26bc622928fd04f6a397f832aaffff789e806 | [
"MIT"
] | 157 | 2019-10-08T07:58:59.000Z | 2022-03-20T23:00:17.000Z | children/tests/snapshots/snap_test_notifications.py | City-of-Helsinki/kukkuu | 61f26bc622928fd04f6a397f832aaffff789e806 | [
"MIT"
] | 3 | 2019-10-07T12:06:26.000Z | 2022-01-25T14:03:14.000Z | # -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
from snapshottest import Snapshot
snapshots = Snapshot()
snapshots["test_signup_notification 1"] = [
"""kukkuu@example.com|['michellewalker@example.net']|SIGNUP-notifikaation aihe|
SIGNUP-notifikaation sisä... | 40.305556 | 85 | 0.751206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,260 | 0.864791 |
cf976cb08811d9daaefe1b3400c3ef25e10128c3 | 1,918 | py | Python | live.py | ardamavi/Vocalize-Sign-Language | b00ce8c2a54f7f333ba8b3612567448281abfc61 | [
"Apache-2.0"
] | 65 | 2017-06-10T19:34:42.000Z | 2022-03-15T06:47:29.000Z | live.py | sygops/Vocalize-Sign-Language | b19f6251e48478193c3a8001966edf2d421e8281 | [
"Apache-2.0"
] | 1 | 2021-09-08T04:04:55.000Z | 2021-09-09T03:24:37.000Z | live.py | sygops/Vocalize-Sign-Language | b19f6251e48478193c3a8001966edf2d421e8281 | [
"Apache-2.0"
] | 25 | 2018-01-08T15:02:05.000Z | 2021-11-16T16:31:42.000Z | # Arda Mavi
import os
import cv2
import platform
import numpy as np
from predict import predict
from scipy.misc import imresize
from multiprocessing import Process
from keras.models import model_from_json
img_size = 64
channel_size = 1
def main():
# Getting model:
model_file = open('Data/Model/model.json', 'r... | 30.935484 | 101 | 0.618874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 414 | 0.21585 |
cf9c1389b641f423d0d37afccaff7445dbc77a66 | 1,028 | py | Python | examples/webhook/server.py | Alma-field/twitcaspy | 25f3e850f2d5aab8a864bd6b7003468587fa3ea7 | [
"MIT"
] | null | null | null | examples/webhook/server.py | Alma-field/twitcaspy | 25f3e850f2d5aab8a864bd6b7003468587fa3ea7 | [
"MIT"
] | 18 | 2021-10-01T13:40:01.000Z | 2021-10-18T12:34:57.000Z | examples/webhook/server.py | Alma-field/twitcaspy | 25f3e850f2d5aab8a864bd6b7003468587fa3ea7 | [
"MIT"
] | null | null | null | # Twitcaspy
# Copyright 2021 Alma-field
# See LICENSE for details.
# Before running this code, run the following command:
# このコードを実行する前に、以下のコマンドを実行してください。
# pip install twitcaspy[webhook]
from flask import Flask, request, make_response, jsonify, abort
app = Flask(__name__)
from twitcaspy import api, TwitcaspyExcepti... | 31.151515 | 63 | 0.678988 | 0 | 0 | 0 | 0 | 368 | 0.338235 | 0 | 0 | 524 | 0.481618 |
cf9d43beea070a2999be037ff5c098b3a4dc9ef5 | 1,173 | py | Python | 18-04-18-REST APIs with Flask and Python/Section 6 - Simplifying storage with Flask-SQLAlchemy/1_Improving code structure/models/user.py | maraboinavamshi/courses | 48f255ffb1903ba20865c2b91b488758d5cb1a09 | [
"Apache-2.0"
] | 15 | 2017-09-19T08:09:01.000Z | 2019-04-29T00:37:51.000Z | 18-04-18-REST APIs with Flask and Python/Section 6 - Simplifying storage with Flask-SQLAlchemy/1_Improving code structure/models/user.py | chitrita/Courses-1 | 7713267ee5c92e488086588ac41490c44b4f7350 | [
"Apache-2.0"
] | null | null | null | 18-04-18-REST APIs with Flask and Python/Section 6 - Simplifying storage with Flask-SQLAlchemy/1_Improving code structure/models/user.py | chitrita/Courses-1 | 7713267ee5c92e488086588ac41490c44b4f7350 | [
"Apache-2.0"
] | 17 | 2018-02-27T03:15:54.000Z | 2019-04-24T09:26:46.000Z | import sqlite3
class UserModel:
def __init__(self, _id, username, password):
self.id = _id
self.username = username
self.password = password
@classmethod
def find_by_username(cls, username):
connection = sqlite3.connect('data.db')
cursor = connection.cursor()
query = "SELECT * FROM users WHERE userna... | 23.938776 | 60 | 0.680307 | 1,156 | 0.985507 | 0 | 0 | 1,018 | 0.86786 | 0 | 0 | 412 | 0.351236 |
cf9db563a203c43bbc7c0bac94e9bc037f070989 | 7,814 | py | Python | SK_Net_Plus.py | xingshulicc/Channel_Attention_Selection | c51b8de34ddfe5d6a88dd3ab5e846930f53e7476 | [
"MIT"
] | 2 | 2020-10-26T06:44:29.000Z | 2020-10-31T06:06:59.000Z | SK_Net_Plus.py | xingshulicc/Channel_Attention_Selection | c51b8de34ddfe5d6a88dd3ab5e846930f53e7476 | [
"MIT"
] | null | null | null | SK_Net_Plus.py | xingshulicc/Channel_Attention_Selection | c51b8de34ddfe5d6a88dd3ab5e846930f53e7476 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function
"""
Created on Fri Oct 23 13:31:34 2020
@author: Admin
"""
from keras.layers import Input
from keras.layers import Conv2D
from keras.layers import BatchNormalization
from keras.layers import Activation
from keras.layers import MaxPooling2D
from ... | 39.664975 | 106 | 0.579473 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,478 | 0.189148 |
cfa0c9cdefacf9cd6963bf8494c977ebb9d0cbfc | 1,386 | py | Python | examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py | silentsokolov/dagster | 510bf07bf6906294d5a239d60079c88211002ebf | [
"Apache-2.0"
] | null | null | null | examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py | silentsokolov/dagster | 510bf07bf6906294d5a239d60079c88211002ebf | [
"Apache-2.0"
] | null | null | null | examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py | silentsokolov/dagster | 510bf07bf6906294d5a239d60079c88211002ebf | [
"Apache-2.0"
] | null | null | null | # isort: skip_file
from .partitioned_job import my_partitioned_config
from dagster import HourlyPartitionsDefinition
# start_marker
from dagster import build_schedule_from_partitioned_job, job
@job(config=my_partitioned_config)
def do_stuff_partitioned():
...
do_stuff_partitioned_schedule = build_schedule_fro... | 21 | 87 | 0.786436 | 0 | 0 | 312 | 0.225108 | 494 | 0.356421 | 0 | 0 | 278 | 0.200577 |
cfa10d23c5f1725d917e3366e959b9010799603e | 267 | py | Python | annotator/admin.py | fossabot/django-annotator | 1151c7628dade8b600719e3653a79e1c53b16340 | [
"Apache-2.0"
] | 11 | 2017-02-21T11:31:10.000Z | 2019-06-19T08:44:15.000Z | annotator/admin.py | fossabot/django-annotator | 1151c7628dade8b600719e3653a79e1c53b16340 | [
"Apache-2.0"
] | 5 | 2017-02-21T18:31:44.000Z | 2020-03-06T09:10:40.000Z | annotator/admin.py | fossabot/django-annotator | 1151c7628dade8b600719e3653a79e1c53b16340 | [
"Apache-2.0"
] | 5 | 2017-03-27T18:45:41.000Z | 2020-03-06T09:11:18.000Z | from django.apps import apps
from django.contrib import admin
from django.contrib.admin.sites import AlreadyRegistered
for model in apps.get_app_config("annotator").get_models():
try:
admin.site.register(model)
except AlreadyRegistered:
pass
| 26.7 | 59 | 0.752809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.041199 |
cfa4150c13a90de6b3895ea197f143bf9acae07d | 834 | py | Python | drivers/firmata.py | prozum/embug | dbb84a2f17229725a209a1cd8f99906f34948058 | [
"MIT"
] | null | null | null | drivers/firmata.py | prozum/embug | dbb84a2f17229725a209a1cd8f99906f34948058 | [
"MIT"
] | null | null | null | drivers/firmata.py | prozum/embug | dbb84a2f17229725a209a1cd8f99906f34948058 | [
"MIT"
] | null | null | null | import pyfirmata
dPins = range(14)
aPins = range(18,24)
A0,A1,A2,A3,A4,A5 = aPins
HIGH,OUT = (1,1)
LOW,IN = (0,0)
class Driver():
def __init__(self,device):
self.board = pyfirmata.Arduino(device)
# Setup Analog Pins
it = pyfirmata.util.Iterator(self.board)
it.start()
... | 18.533333 | 62 | 0.558753 | 713 | 0.854916 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.038369 |
cfa4f9c3c47163b8357b553409d94c4c1cf0c0a0 | 1,019 | py | Python | src/contnext_viewer/graph.py | ContNeXt/web_app | 0ace1077ee07902cadca684e4e06b3e91cea437f | [
"MIT"
] | 3 | 2022-01-14T11:56:08.000Z | 2022-01-14T12:36:42.000Z | src/contnext_viewer/graph.py | ContNeXt/web_app | 0ace1077ee07902cadca684e4e06b3e91cea437f | [
"MIT"
] | null | null | null | src/contnext_viewer/graph.py | ContNeXt/web_app | 0ace1077ee07902cadca684e4e06b3e91cea437f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from contnext_viewer.models import Network, engine
from sqlalchemy.orm import sessionmaker
def create_json_file(id, node):
# Start database session
Session = sessionmaker(bind=engine)
sqlsession = Session()
try:
g = [each.data for each in sqlsession.query(Network).filter(Network.identif... | 37.740741 | 112 | 0.68106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 167 | 0.163886 |
cfa6145bbf7350ea98ed17dde42977836a1d405b | 8,302 | py | Python | crystals/affine.py | priyankism/crystals | 683bf35fbc95d0ded8cafdad0f2dede7adf5b072 | [
"BSD-3-Clause"
] | null | null | null | crystals/affine.py | priyankism/crystals | 683bf35fbc95d0ded8cafdad0f2dede7adf5b072 | [
"BSD-3-Clause"
] | null | null | null | crystals/affine.py | priyankism/crystals | 683bf35fbc95d0ded8cafdad0f2dede7adf5b072 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Linear algebra operations and helpers.
Inspired by Christoph Gohlke's transformation.py <http://www.lfd.uci.edu/~gohlke/>
This module is not directly exported by the `crystals` library. Use it with caution.
"""
import math
import numpy as np
# standard basis
e1, e2, e3 = np.eye(3)
def... | 26.694534 | 86 | 0.63298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,839 | 0.582872 |
cfa6ad3ae4dd2b7b0f171c22b61ad5f626a27dd6 | 675 | py | Python | app/common/models.py | chaos-soft/velvet | 71edabaa6e25308e76af82b76eb62c159d2b3368 | [
"MIT"
] | null | null | null | app/common/models.py | chaos-soft/velvet | 71edabaa6e25308e76af82b76eb62c159d2b3368 | [
"MIT"
] | null | null | null | app/common/models.py | chaos-soft/velvet | 71edabaa6e25308e76af82b76eb62c159d2b3368 | [
"MIT"
] | null | null | null | import json
from django.db import models
class JSONEncoder(json.JSONEncoder):
def __init__(self, *args, **kwargs):
kwargs['ensure_ascii'] = False
super().__init__(*args, **kwargs)
class Document(models.Model):
document = models.JSONField(encoder=JSONEncoder, default=dict)
images = None
... | 24.107143 | 66 | 0.567407 | 627 | 0.928889 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.020741 |
cfa6f22885e002c32f2bb0a0900115dab7f6b69c | 4,194 | py | Python | malas/program_supplementals.py | destrianto/malas | 46fbeb43414302c0c6e47ec2c48a0e3a1052a1b9 | [
"MIT"
] | null | null | null | malas/program_supplementals.py | destrianto/malas | 46fbeb43414302c0c6e47ec2c48a0e3a1052a1b9 | [
"MIT"
] | null | null | null | malas/program_supplementals.py | destrianto/malas | 46fbeb43414302c0c6e47ec2c48a0e3a1052a1b9 | [
"MIT"
] | null | null | null | import sys
import getpass
import subprocess
import pkg_resources
def enter_key_only():
# Expect the user to press Enter key and suppress the output
getpass.getpass("")
def enter_key_confirmation():
print("Press \'Enter\' to continue or \'CTRL+C\' to abort the program", end="", flush=True)
#... | 42.363636 | 205 | 0.669766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,895 | 0.451836 |
cfa6f7d12ac60700054deb918bc90c4c2c0ba1fc | 25,987 | py | Python | wsgi/iportalen_django/events/views.py | I-sektionen/i-portalen | 1713e5814d40c0da1bf3278d60a561e7d3df3550 | [
"MIT"
] | 4 | 2016-09-21T17:06:01.000Z | 2018-02-06T16:36:44.000Z | wsgi/iportalen_django/events/views.py | I-sektionen/i-portalen | 1713e5814d40c0da1bf3278d60a561e7d3df3550 | [
"MIT"
] | 149 | 2016-03-07T23:50:47.000Z | 2022-03-11T23:16:33.000Z | wsgi/iportalen_django/events/views.py | I-sektionen/i-portalen | 1713e5814d40c0da1bf3278d60a561e7d3df3550 | [
"MIT"
] | 1 | 2016-03-07T23:02:06.000Z | 2016-03-07T23:02:06.000Z | from django.core.mail import send_mail
from django.core.urlresolvers import reverse
from django.db.models import Q
from django.http.response import JsonResponse
from django.shortcuts import render, get_object_or_404, redirect
from django.forms import modelformset_factory
from django.contrib.auth.decorators import login... | 41.118671 | 248 | 0.588833 | 0 | 0 | 0 | 0 | 21,267 | 0.816172 | 0 | 0 | 4,949 | 0.18993 |
cfa89d2739c826f494098053f56652fab2675cda | 411 | py | Python | loop_count_sum_average.py | bclead3/python_for_everyone | ccf72c335fe1e9b6419ccb34fc091c9520a69e5c | [
"MIT"
] | null | null | null | loop_count_sum_average.py | bclead3/python_for_everyone | ccf72c335fe1e9b6419ccb34fc091c9520a69e5c | [
"MIT"
] | null | null | null | loop_count_sum_average.py | bclead3/python_for_everyone | ccf72c335fe1e9b6419ccb34fc091c9520a69e5c | [
"MIT"
] | null | null | null | intNum = 0
fltTotal = 0.0
while True:
strVal = input('Enter a number: ')
if strVal == 'done':
break
try:
fltVal = float(strVal)
intNum += 1
fltTotal += fltVal
except ValueError:
print('Invalid Input value, continuing...')
continue
print("The number of ... | 21.631579 | 111 | 0.586375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.291971 |
cfaad53b73796070da96bc425bbb924627d94d3e | 66,608 | py | Python | direfl/api/invert.py | TUM-E21-ThinFilms/direfl | ef60610b1653ab1a93840ec481a0eed3242fcfcc | [
"MIT"
] | null | null | null | direfl/api/invert.py | TUM-E21-ThinFilms/direfl | ef60610b1653ab1a93840ec481a0eed3242fcfcc | [
"MIT"
] | null | null | null | direfl/api/invert.py | TUM-E21-ThinFilms/direfl | ef60610b1653ab1a93840ec481a0eed3242fcfcc | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This program is public domain
#
# Phase inversion author: Norm Berk
# Translated from Mathematica by Paul Kienzle
#
# Phase reconstruction author: Charles Majkrzak
# Converted from Fortran by Paul Kienzle
#
# Reflectivity calculation author: Paul Kienzle
#
# The National Institute of Standards ... | 38.952047 | 90 | 0.563191 | 41,785 | 0.627327 | 0 | 0 | 0 | 0 | 0 | 0 | 39,133 | 0.587512 |
cfab26c2310626960a9eb1bcfe2663950cbe8982 | 1,429 | py | Python | JupiterMag/Tools/TestTrace.py | mattkjames7/JupiterMag | 0c2bc82e9efadc4b026b82f4aeea30b068ba7fbd | [
"MIT"
] | null | null | null | JupiterMag/Tools/TestTrace.py | mattkjames7/JupiterMag | 0c2bc82e9efadc4b026b82f4aeea30b068ba7fbd | [
"MIT"
] | null | null | null | JupiterMag/Tools/TestTrace.py | mattkjames7/JupiterMag | 0c2bc82e9efadc4b026b82f4aeea30b068ba7fbd | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def TestTrace(IntModel='jrm33',ExtModel='Con2020',fig=None,maps=[1,1,0,0],color='green'):
from ..TraceField import TraceField
from ..Con2020 import Config
#set the starting coords
n = 7
x = np.linspace(2.0,30.0,n)
x = np.append(-x[::-1],x)
y = np.zeros(n*2)
... | 21.651515 | 89 | 0.6669 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0.179846 |
cfab7b4d1f8932a304f458648a1dfa8880c9d0fe | 146 | py | Python | tests/utils.py | tobricz/Expression | 3ff020fda97e8d0bc43467d64b4a9f481fc0c386 | [
"MIT"
] | 135 | 2020-11-30T02:32:32.000Z | 2022-03-29T14:29:34.000Z | tests/utils.py | tobricz/Expression | 3ff020fda97e8d0bc43467d64b4a9f481fc0c386 | [
"MIT"
] | 50 | 2020-11-30T02:42:33.000Z | 2022-03-19T15:39:58.000Z | tests/utils.py | tobricz/Expression | 3ff020fda97e8d0bc43467d64b4a9f481fc0c386 | [
"MIT"
] | 16 | 2020-12-15T17:15:36.000Z | 2022-03-16T08:38:57.000Z | class CustomException(Exception):
def __init__(self, message: str):
self.message = message
def throw(err: Exception):
raise err
| 18.25 | 37 | 0.684932 | 102 | 0.69863 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfac305f0f7ce458aca125a8380e57d97d04bc9b | 81,938 | py | Python | openstuder.py | OpenStuder/openstuder-client-python | ade667116afcd084faed93febfa4e267972f5250 | [
"MIT"
] | null | null | null | openstuder.py | OpenStuder/openstuder-client-python | ade667116afcd084faed93febfa4e267972f5250 | [
"MIT"
] | null | null | null | openstuder.py | OpenStuder/openstuder-client-python | ade667116afcd084faed93febfa4e267972f5250 | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import Callable, Optional, Tuple, List
from enum import Enum, Flag, auto
from threading import Thread
import datetime
import json
import websocket
class SIStatus(Enum):
"""
Status of operations on the OpenStuder gateway.
- **SIStatus.SUCCESS**: Operation was... | 48.541469 | 180 | 0.672435 | 81,705 | 0.997156 | 0 | 0 | 18,819 | 0.229674 | 0 | 0 | 40,721 | 0.496973 |
cfac8a3bf9b754b428774c64b5a7fb57b3b75af6 | 10,172 | py | Python | jsb/lib/rest/client.py | NURDspace/jsonbot | 400dce602700a93db80e10707c3785a0fbdfaaeb | [
"MIT"
] | 1 | 2019-04-12T12:20:12.000Z | 2019-04-12T12:20:12.000Z | jsb/lib/rest/client.py | Petraea/jsonbot | 04a3a0c586a8a1a3b0e5316d10cda16df9be415b | [
"MIT"
] | null | null | null | jsb/lib/rest/client.py | Petraea/jsonbot | 04a3a0c586a8a1a3b0e5316d10cda16df9be415b | [
"MIT"
] | 1 | 2020-05-06T18:46:53.000Z | 2020-05-06T18:46:53.000Z | # jsb/rest/client.py
#
#
""" Rest Client class """
## jsb imports
from jsb.utils.url import geturl4, posturl, deleteurl, useragent
from jsb.utils.generic import toenc
from jsb.utils.exception import handle_exception, exceptionmsg
from jsb.utils.locking import lockdec
from jsb.utils.lazydict import LazyDict
from jsb.... | 34.364865 | 124 | 0.54129 | 9,422 | 0.926268 | 0 | 0 | 1,408 | 0.138419 | 0 | 0 | 1,724 | 0.169485 |
cfad240cbe2de63e774a45108d8024a830541cc9 | 3,820 | py | Python | sha.py | Jfghanimah/fpga-miner | fcf8fb4a7eed941de78b2517046cdcc7305e833d | [
"MIT"
] | 1 | 2021-12-19T18:11:25.000Z | 2021-12-19T18:11:25.000Z | sha.py | Jfghanimah/fpga-miner | fcf8fb4a7eed941de78b2517046cdcc7305e833d | [
"MIT"
] | null | null | null | sha.py | Jfghanimah/fpga-miner | fcf8fb4a7eed941de78b2517046cdcc7305e833d | [
"MIT"
] | null | null | null | import timeit
W = 32 #Number of bits in word
M = 1 << W
FF = M - 1 #0xFFFFFFFF (for performing addition mod 2**32)
#Constants from SHA256 definition
K_t = (0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5,
0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,
0xd807aa98, 0x12835b01, 0x243185be, 0x550... | 41.978022 | 97 | 0.585602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 864 | 0.226178 |
cfae1b2a8bae0b3534aa7c2f45c77338d26aaf5c | 438 | py | Python | exercicio42.py | shyga362/projetoPython | 1efad8c234b3e728cb23cb02fc11c8e1b7887a25 | [
"MIT"
] | 2 | 2022-01-06T23:31:00.000Z | 2022-01-06T23:35:49.000Z | exercicio42.py | shyga362/projetoPython | 1efad8c234b3e728cb23cb02fc11c8e1b7887a25 | [
"MIT"
] | null | null | null | exercicio42.py | shyga362/projetoPython | 1efad8c234b3e728cb23cb02fc11c8e1b7887a25 | [
"MIT"
] | null | null | null | r1 = float(input("Digite um numero: "))
r2 = float(input("Digite outro numero: "))
r3 = float(input("Digite outro numero: "))
if r1 < r2 + r3 and r2 < r1 + r3 and r3 < r1 + r2:
print("Os seguimentos acima é um triangulo", end='')
if r1 == r2 == r3:
print("equilatero")
elif r1 != r2 != r3 != r1:
... | 31.285714 | 58 | 0.577626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 178 | 0.404545 |
cfae2232854c7e9cf552e892930d74771cc98a44 | 13,839 | py | Python | tools/imports/shockabsorber/loader/loader.py | Brian151/OpenShockwave | 152c9c8899a2d949b3b769ee8204a3cef8df1b13 | [
"Apache-2.0"
] | 49 | 2017-02-21T05:35:49.000Z | 2022-03-24T19:49:13.000Z | tools/imports/shockabsorber/loader/loader.py | Brian151/OpenShockwave | 152c9c8899a2d949b3b769ee8204a3cef8df1b13 | [
"Apache-2.0"
] | 17 | 2017-02-23T08:59:51.000Z | 2019-05-10T03:02:42.000Z | tools/imports/shockabsorber/loader/loader.py | Brian151/OpenShockwave | 152c9c8899a2d949b3b769ee8204a3cef8df1b13 | [
"Apache-2.0"
] | 11 | 2017-05-17T20:21:50.000Z | 2021-12-14T19:01:41.000Z |
#### Purpose:
# Parse D*R files.
# Individual envelope formats are handled elsewhere (dxr_envelope etc.).
import struct
from shockabsorber.model.sections import Section, SectionMap, AssociationTable
from shockabsorber.model.cast import CastLibrary, CastLibraryTable
from shockabsorber.model.movie import Movie
from sho... | 39.315341 | 160 | 0.61146 | 4,855 | 0.35082 | 0 | 0 | 2,432 | 0.175735 | 0 | 0 | 2,525 | 0.182455 |
cfae41573fd81ac1730a5949ff6705e491a3cd0f | 6,976 | py | Python | flowable_service_sdk/api/process_definition/parse_bpmnxml_pb2.py | easyopsapis/easyops-api-python | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | [
"Apache-2.0"
] | 5 | 2019-07-31T04:11:05.000Z | 2021-01-07T03:23:20.000Z | flowable_service_sdk/api/process_definition/parse_bpmnxml_pb2.py | easyopsapis/easyops-api-python | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | [
"Apache-2.0"
] | null | null | null | flowable_service_sdk/api/process_definition/parse_bpmnxml_pb2.py | easyopsapis/easyops-api-python | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: parse_bpmnxml.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protob... | 50.18705 | 821 | 0.820384 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,889 | 0.270786 |
cfaec93c76fc38ff386500b38962b7e890c0d5b9 | 677 | py | Python | wwwdccn/conferences/migrations/0003_auto_20190331_1742.py | lfpratik/dccnsys | b59e3c4a617e74f888e98b86a85671c412078ee7 | [
"MIT"
] | 16 | 2020-03-15T15:33:30.000Z | 2021-11-26T21:57:27.000Z | wwwdccn/conferences/migrations/0003_auto_20190331_1742.py | dccnconf/dccnsys | b59e3c4a617e74f888e98b86a85671c412078ee7 | [
"MIT"
] | 11 | 2019-04-27T19:15:43.000Z | 2022-03-11T23:43:08.000Z | wwwdccn/conferences/migrations/0003_auto_20190331_1742.py | lfpratik/dccnsys | b59e3c4a617e74f888e98b86a85671c412078ee7 | [
"MIT"
] | 10 | 2020-03-14T09:25:39.000Z | 2022-02-21T16:46:33.000Z | # Generated by Django 2.1.7 on 2019-03-31 14:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('conferences', '0002_auto_20190329_1326'),
]
operations = [
migrations.AddField(
model_name='conference',
name='descr... | 28.208333 | 119 | 0.620384 | 584 | 0.862629 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.313146 |
cfb1a0dd3fc254f0d785f59a769dd324b97838e9 | 2,572 | py | Python | scripts.py | StarsHu/ParadoxMediaWikiWorker | 89bf4f298ed93d86bc489490a2536a27961f7b6b | [
"MIT"
] | null | null | null | scripts.py | StarsHu/ParadoxMediaWikiWorker | 89bf4f298ed93d86bc489490a2536a27961f7b6b | [
"MIT"
] | null | null | null | scripts.py | StarsHu/ParadoxMediaWikiWorker | 89bf4f298ed93d86bc489490a2536a27961f7b6b | [
"MIT"
] | null | null | null | from spider import Spider
class PageSync(object):
def __init__(self, cn_url, cn_username, cn_password, eu_url, eu_username=None, eu_password=None):
self.spider_cn = Spider(url=cn_url, username=cn_username, password=cn_password)
self.spider_cn.login()
self.spider_eu = Spider(url=eu_url, use... | 41.483871 | 105 | 0.605754 | 2,247 | 0.870256 | 0 | 0 | 600 | 0.232378 | 0 | 0 | 323 | 0.125097 |
cfb605ca953b0b2a145c9dfb2721c7a45cd2d149 | 2,485 | py | Python | Code/Aurora-to-Redshift-SnapshotExport-ELT/python/rds_snap_exp_check_snapshot.py | aws-samples/aurora-and-database-migration-labs | 5f7f4ab7985dda04c2a6cdc8a04fb34491f6a0aa | [
"MIT-0"
] | 23 | 2019-02-18T17:20:17.000Z | 2022-03-31T18:12:49.000Z | Code/Aurora-to-Redshift-SnapshotExport-ELT/python/rds_snap_exp_check_snapshot.py | CloudGuru79/aurora-and-database-migration-labs | e70b6a41747d6117d763a708df035e73db88e107 | [
"MIT-0"
] | 1 | 2021-05-25T14:07:51.000Z | 2021-08-04T16:06:44.000Z | Code/Aurora-to-Redshift-SnapshotExport-ELT/python/rds_snap_exp_check_snapshot.py | CloudGuru79/aurora-and-database-migration-labs | e70b6a41747d6117d763a708df035e73db88e107 | [
"MIT-0"
] | 11 | 2019-03-29T13:11:29.000Z | 2022-03-26T20:47:38.000Z | import boto3
from datetime import datetime, timezone
class SnapshotException(Exception):
pass
def lambda_handler(event, context):
# Input from Cloudwatch event rule
aurora_cluster_id=event["aurora_cluster_id"]
s3_bucket_for_rds_snap_exp=event["s3_bucket_for_rds_snap_exp"]
iam_role_for_r... | 31.455696 | 102 | 0.660362 | 44 | 0.017706 | 0 | 0 | 0 | 0 | 0 | 0 | 693 | 0.278873 |
cfb76a0451724cb5b9f942bb838e8d1e229a0d3d | 4,932 | py | Python | research/nlp/lstm_crf/eval.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/lstm_crf/eval.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/lstm_crf/eval.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 39.774194 | 107 | 0.651663 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,078 | 0.218573 |
cfb7a611580cb2074a6bd3d12a2144d33129fca3 | 837 | py | Python | pyRoovit/pyRoovit.extension/bin/disabled hooks/command-before-exec[ID_INPLACE_COMPONENT].py | jmcouffin/pyRoovit | acafa74fb6310a1042c703d791b0d53804c1882a | [
"BSD-3-Clause"
] | 5 | 2022-03-14T01:58:34.000Z | 2022-03-21T19:51:09.000Z | pyRoovit/pyRoovit.extension/bin/disabled hooks/command-before-exec[ID_INPLACE_COMPONENT].py | jmcouffin/pyRoovit | acafa74fb6310a1042c703d791b0d53804c1882a | [
"BSD-3-Clause"
] | 1 | 2022-03-14T10:18:40.000Z | 2022-03-14T15:52:25.000Z | pyRoovit/pyRoovit.extension/bin/disabled hooks/command-before-exec[ID_INPLACE_COMPONENT].py | jmcouffin/pyRoovit | acafa74fb6310a1042c703d791b0d53804c1882a | [
"BSD-3-Clause"
] | 1 | 2022-03-14T10:15:22.000Z | 2022-03-14T10:15:22.000Z | # import libraries
from pyrevit import EXEC_PARAMS
from pyrevit import forms
# prevent the tool, await input
mip = forms.alert("No modelling in place!", options = ["Oops, my bad...", "But you see, I am an artiste"], title = "Not going to happen", footer = "Uhoh")
# process the outcome
if mip == "Oops, my bad...":
... | 36.391304 | 154 | 0.673835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 377 | 0.450418 |
cfb7b75e80d6f16aa38ab2c5bb8e48063d63e82b | 2,682 | py | Python | prepare_training_data.py | vijayaganesh/Chrome-DinoGame-AI | 1c28114c3b0ac40dcb3812ba202b5a343de7d93a | [
"MIT"
] | null | null | null | prepare_training_data.py | vijayaganesh/Chrome-DinoGame-AI | 1c28114c3b0ac40dcb3812ba202b5a343de7d93a | [
"MIT"
] | null | null | null | prepare_training_data.py | vijayaganesh/Chrome-DinoGame-AI | 1c28114c3b0ac40dcb3812ba202b5a343de7d93a | [
"MIT"
] | null | null | null |
import cv2
import numpy as np
import tensorflow as tf
import time
import statistics
import h5py
vid_file = '/home/vijayaganesh/Videos/Google Chrome Dinosaur Game [Bird Update] BEST SCORE OF THE WORLD (No hack).mp4'
data_file = 'training_data.txt'
roi_x = 320
roi_y = 120
roi_w = 459
roi_h = 112
font = cv2.FONT_HERSHEY... | 25.788462 | 118 | 0.590604 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 347 | 0.129381 |
cfb9e12117569a0e6982c42c78bded71febf60a5 | 3,436 | py | Python | tests/test_startup_command_decorator.py | maximsakhno/galo-startup | 89137b813d4ffa2fcc271cdd23ca88c1cef40eca | [
"MIT"
] | 3 | 2022-02-02T10:58:10.000Z | 2022-02-09T10:46:35.000Z | tests/test_startup_command_decorator.py | maximsakhno/galo-startup | 89137b813d4ffa2fcc271cdd23ca88c1cef40eca | [
"MIT"
] | null | null | null | tests/test_startup_command_decorator.py | maximsakhno/galo-startup | 89137b813d4ffa2fcc271cdd23ca88c1cef40eca | [
"MIT"
] | null | null | null | from unittest.mock import AsyncMock, Mock, call
import pytest
from galo_startup_commands import DependencyGraphNodeStartupCommand, startup_command
def test_without_parameters() -> None:
@startup_command
def startup():
pass
command = getattr(startup, "startup_command")
assert isinstance(comm... | 25.641791 | 84 | 0.690338 | 0 | 0 | 1,053 | 0.306461 | 1,456 | 0.423749 | 959 | 0.279104 | 165 | 0.048021 |
cfbc7808f0d9aa90289024ba8002f813e7246ea1 | 1,122 | py | Python | config/bash.py | mkaminsky11/cyberpatriot | cadebaf6aa953a904e28a5925705352f82682992 | [
"MIT",
"Unlicense"
] | 6 | 2015-09-16T11:44:17.000Z | 2021-07-19T19:11:14.000Z | config/bash.py | mkaminsky11/cyberpatriot | cadebaf6aa953a904e28a5925705352f82682992 | [
"MIT",
"Unlicense"
] | null | null | null | config/bash.py | mkaminsky11/cyberpatriot | cadebaf6aa953a904e28a5925705352f82682992 | [
"MIT",
"Unlicense"
] | 1 | 2015-03-19T14:37:21.000Z | 2015-03-19T14:37:21.000Z | import subprocess
import os.path
#CONFIGURES BASH STUFF
#TODO: maybe to all users?
#PREVENT TAMPERING WITH THESE FILES
#==================================
append_only = [".bash_history",".bash_profile",".bash_login",".profile",".bash_logout",".bashrc"]
for appends in append_only:
subprocess.call(("chattr +a ~/" ... | 27.365854 | 97 | 0.659537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 576 | 0.513369 |
cfbcbb60ae3fc053905862a67c48f5b31ef61170 | 106 | py | Python | autonmt/search/__init__.py | salvacarrion/autonlp | 5cc462901e451b9259219f44225034fc8eedf6d3 | [
"MIT"
] | 5 | 2022-01-10T07:59:16.000Z | 2022-01-14T01:02:52.000Z | autonmt/search/__init__.py | salvacarrion/autonlp | 5cc462901e451b9259219f44225034fc8eedf6d3 | [
"MIT"
] | 2 | 2022-01-01T06:10:27.000Z | 2022-01-14T01:10:48.000Z | autonmt/search/__init__.py | salvacarrion/autonlp | 5cc462901e451b9259219f44225034fc8eedf6d3 | [
"MIT"
] | 2 | 2022-01-10T08:20:02.000Z | 2022-02-22T08:10:16.000Z | from autonmt.search.beam_search import beam_search
from autonmt.search.greedy_search import greedy_search
| 35.333333 | 54 | 0.886792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfbdc3d684ec4775e9200fbfec05b45b578aaee8 | 31 | py | Python | Constants.py | TmanHef/CentipedeRL | 400d6e71826a79c1a597b057b7543080d3f3c376 | [
"MIT"
] | 1 | 2020-08-12T02:43:57.000Z | 2020-08-12T02:43:57.000Z | Constants.py | TmanHef/CentipedeRL | 400d6e71826a79c1a597b057b7543080d3f3c376 | [
"MIT"
] | null | null | null | Constants.py | TmanHef/CentipedeRL | 400d6e71826a79c1a597b057b7543080d3f3c376 | [
"MIT"
] | null | null | null | take_action = 0
pass_action = 1 | 15.5 | 15 | 0.774194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfbe82223a8d3479a6dfc0c1cbd4a4db1f89fae3 | 941 | py | Python | crfill/trainers/__init__.py | node21challenge/rank2_node21_generation | 6c1708468b4ba48383c55bc8473ebcc5a83b8995 | [
"Apache-2.0"
] | null | null | null | crfill/trainers/__init__.py | node21challenge/rank2_node21_generation | 6c1708468b4ba48383c55bc8473ebcc5a83b8995 | [
"Apache-2.0"
] | null | null | null | crfill/trainers/__init__.py | node21challenge/rank2_node21_generation | 6c1708468b4ba48383c55bc8473ebcc5a83b8995 | [
"Apache-2.0"
] | 1 | 2022-02-11T12:42:21.000Z | 2022-02-11T12:42:21.000Z | import importlib
def find_trainer_using_name(model_name):
model_filename = "trainers." + model_name + "_trainer"
modellib = importlib.import_module(model_filename)
# In the file, the class called ModelNameModel() will
# be instantiated. It has to be a subclass of torch.nn.Module,
# and it is case-... | 32.448276 | 156 | 0.682253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306 | 0.325186 |
cfbe85800180a003ff0e85d9da08dbfb881b689b | 3,308 | py | Python | pygrim/formulas/imaginary_unit.py | mezzarobba/fungrim | 01866a19882d44420e01383165dbb0a9f97680da | [
"MIT"
] | 102 | 2019-03-15T19:57:55.000Z | 2022-03-04T06:56:18.000Z | pygrim/formulas/imaginary_unit.py | mezzarobba/fungrim | 01866a19882d44420e01383165dbb0a9f97680da | [
"MIT"
] | 26 | 2019-03-15T03:17:26.000Z | 2022-02-21T17:46:50.000Z | pygrim/formulas/imaginary_unit.py | mezzarobba/fungrim | 01866a19882d44420e01383165dbb0a9f97680da | [
"MIT"
] | 12 | 2019-03-15T01:59:04.000Z | 2022-02-24T14:53:35.000Z | # -*- coding: utf-8 -*-
from ..expr import *
def_Topic(
Title("Imaginary unit"),
Section("Definitions"),
Entries(
"be8e05",
),
Section("Domain"),
Entries(
"88ad6f",
"cd8a07",
"a08fb9",
),
Section("Quadratic equations"),
Entries(
"08ad28",
... | 18.276243 | 101 | 0.583434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 845 | 0.255441 |
cfbeba738a545b8fa816e6c53371f15e1212b0d3 | 2,590 | py | Python | sds.py | Nico0302/SMG-UntisOfficeConverters | b43fd6b2baa58d42f9343c3a40963b7eec689ed5 | [
"MIT"
] | null | null | null | sds.py | Nico0302/SMG-UntisOfficeConverters | b43fd6b2baa58d42f9343c3a40963b7eec689ed5 | [
"MIT"
] | null | null | null | sds.py | Nico0302/SMG-UntisOfficeConverters | b43fd6b2baa58d42f9343c3a40963b7eec689ed5 | [
"MIT"
] | null | null | null | import csv
from utils import to_sds_date
SCHOOL_ID = '1'
SCHOOL_FILENAME = 'School.csv'
SECTION_FILENAME = 'Section.csv'
STUDENT_FILENAME = 'Student.csv'
TEACHER_FILENAME = 'Teacher.csv'
STUDENT_ENROLLMENT_FILENAME = 'StudentEnrollment.csv'
TEACHER_ROSTER_FILENAME = 'TeacherRoster.csv'
class Writer:
HEADERS = []... | 31.204819 | 90 | 0.688417 | 2,287 | 0.883012 | 0 | 0 | 0 | 0 | 0 | 0 | 274 | 0.105792 |
cfbf0b7ed91177f382813b392b45d5b821b94144 | 3,790 | py | Python | setup.py | zfit/zfit-flavour | 291be3d3d80a8e20907a5de88239098d0ed7e96d | [
"BSD-3-Clause"
] | null | null | null | setup.py | zfit/zfit-flavour | 291be3d3d80a8e20907a5de88239098d0ed7e96d | [
"BSD-3-Clause"
] | null | null | null | setup.py | zfit/zfit-flavour | 291be3d3d80a8e20907a5de88239098d0ed7e96d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import io
import re
import os
import glob
from setuptools import find_packages
from setuptools import setup
def read(*names, **kwargs):
with io.open(
os.path.join(os.path.dirname(__file__), *names),
encoding=kwargs.get('encoding', 'utf8')
) as f... | 38.673469 | 104 | 0.641953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,947 | 0.51372 |
cfbfa275b0b7f6610c00f6739476900452fbdfa6 | 1,858 | py | Python | engine/utils/scheduler.py | rmarticedeno/Agent_Platform | 12891e96bae4670e50f12e56a2dee258b7b584b4 | [
"MIT"
] | 2 | 2019-12-07T00:20:51.000Z | 2019-12-23T15:54:27.000Z | engine/utils/scheduler.py | rmarticedeno/Agent_Platform | 12891e96bae4670e50f12e56a2dee258b7b584b4 | [
"MIT"
] | null | null | null | engine/utils/scheduler.py | rmarticedeno/Agent_Platform | 12891e96bae4670e50f12e56a2dee258b7b584b4 | [
"MIT"
] | null | null | null | from collections import deque
class TaskScheduler:
'''
Represents an ordered Scheduler.
'''
def __init__(self):
self._task_deque = deque()
def new_task(self, task):
'''
Admit a newly started task to the scheduler\n
(must be a generator `yield`)
... | 19.557895 | 57 | 0.520452 | 775 | 0.417115 | 221 | 0.118945 | 0 | 0 | 0 | 0 | 823 | 0.442949 |
cfc02d4a4657dd5adc5e53454218d4b69d722cf8 | 2,138 | py | Python | leet_code/editorial/numbers_roman.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | null | null | null | leet_code/editorial/numbers_roman.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | null | null | null | leet_code/editorial/numbers_roman.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | null | null | null | class Solution:
def intToRoman(self, num: int) -> str:
a = {
'I': 1,
'IV': 4,
'V': 5,
'IX': 9,
'X': 10,
'XL': 40,
'L': 50,
'XC': 90,
'C': 100,
'CD': 400,
'D': 500,
... | 25.759036 | 116 | 0.384471 | 1,919 | 0.897568 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.05753 |
cfc2420a8b0d8a4ab0326148009595e910540813 | 2,310 | py | Python | test_incoming.py | james-721/chat_limpet | 88a394d4e6e3f34b9af4dd29d43999f28bd91224 | [
"MIT"
] | null | null | null | test_incoming.py | james-721/chat_limpet | 88a394d4e6e3f34b9af4dd29d43999f28bd91224 | [
"MIT"
] | null | null | null | test_incoming.py | james-721/chat_limpet | 88a394d4e6e3f34b9af4dd29d43999f28bd91224 | [
"MIT"
] | null | null | null | import zlib
import zmq
import simplejson
import sys
import time
import pprint
import math
pp = pprint.PrettyPrinter(indent=4)
"""
" Configuration
"""
__relayEDDN = 'tcp://eddn.edcd.io:9500'
__timeoutEDDN = 600000
"""
" Start
"""
def distance_finder(input_coords):
colonia_coords = [-953... | 32.535211 | 172 | 0.544156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 312 | 0.135065 |
cfc3b184faded8ad9ad737db946c5f8bf1633768 | 8,599 | py | Python | bayesian_optimization/algorithms/dt.py | ukritw/autonialm | a5264753dae19b9b5257ca75433a0f55dce0f173 | [
"Apache-2.0"
] | 2 | 2022-02-22T13:16:17.000Z | 2022-03-24T17:37:54.000Z | bayesian_optimization/algorithms/dt.py | ukritw/autonialm | a5264753dae19b9b5257ca75433a0f55dce0f173 | [
"Apache-2.0"
] | null | null | null | bayesian_optimization/algorithms/dt.py | ukritw/autonialm | a5264753dae19b9b5257ca75433a0f55dce0f173 | [
"Apache-2.0"
] | 2 | 2019-03-24T20:58:53.000Z | 2022-03-06T06:51:50.000Z | from __future__ import print_function, division
import warnings; warnings.filterwarnings("ignore")
from nilmtk import DataSet
import pandas as pd
import numpy as np
import datetime
import time
import math
import glob
from sklearn.tree import DecisionTreeRegressor
# Bring packages onto the path
import sys, os
sys.pa... | 43.211055 | 230 | 0.695662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,942 | 0.458425 |
cfc454e37616069169f51eecb957aaca3ad1f6d0 | 2,368 | py | Python | final_exam_may2020/others/practistrash.py | ilante/programming_immanuela_englander | 45d51c99b09ae335a67e03ac5ea79fc775bdf0bd | [
"MIT"
] | null | null | null | final_exam_may2020/others/practistrash.py | ilante/programming_immanuela_englander | 45d51c99b09ae335a67e03ac5ea79fc775bdf0bd | [
"MIT"
] | null | null | null | final_exam_may2020/others/practistrash.py | ilante/programming_immanuela_englander | 45d51c99b09ae335a67e03ac5ea79fc775bdf0bd | [
"MIT"
] | null | null | null | difficultlist = ['>tr|Q9IQN3|Q9IQN3_9HIV1 Protein Rev (Fragment) OS=Human immunodeficiency virus 1 OX=11676 GN=rev PE=4 SV=1', 'PPPSSEGTRQARRNRRRRWRERQRQIRRISGWILSNHLGGLTEPVPLQLPPLERLTLDCN', 'EDCGTSGTQGVGSPQIPVESPTVLESGTKE', '>sp|O95218|ZRAB2_HUMAN Zinc finger Ran-binding domain-containing protein 2 OS=Homo sapiens OX=... | 35.878788 | 704 | 0.638936 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,997 | 0.843328 |
cfc4d663a59f98e39d10c7f6df4d3b1a88ae5a68 | 5,169 | py | Python | src/test/feature/Ranger/rangerpolicy.py | YangHao666666/hawq | 10cff8350f1ba806c6fec64eb67e0e6f6f24786c | [
"Artistic-1.0-Perl",
"ISC",
"bzip2-1.0.5",
"TCL",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"PostgreSQL",
"BSD-3-Clause"
] | 450 | 2015-09-05T09:12:51.000Z | 2018-08-30T01:45:36.000Z | src/test/feature/Ranger/rangerpolicy.py | YangHao666666/hawq | 10cff8350f1ba806c6fec64eb67e0e6f6f24786c | [
"Artistic-1.0-Perl",
"ISC",
"bzip2-1.0.5",
"TCL",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"PostgreSQL",
"BSD-3-Clause"
] | 1,274 | 2015-09-22T20:06:16.000Z | 2018-08-31T22:14:00.000Z | src/test/feature/Ranger/rangerpolicy.py | YangHao666666/hawq | 10cff8350f1ba806c6fec64eb67e0e6f6f24786c | [
"Artistic-1.0-Perl",
"ISC",
"bzip2-1.0.5",
"TCL",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"PostgreSQL",
"BSD-3-Clause"
] | 278 | 2015-09-21T19:15:06.000Z | 2018-08-31T00:36:51.000Z | """
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... | 42.368852 | 98 | 0.655833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,689 | 0.326756 |
cfc4dc6ecc3462bf8a0af5bf57b6f97a39afd525 | 856 | py | Python | Interpolation/New Tab with Special Layers.py | juandelperal/Glyphs-Scripts | 1f3cb71683ec044dff67a46cd895773e8271effa | [
"Apache-2.0"
] | null | null | null | Interpolation/New Tab with Special Layers.py | juandelperal/Glyphs-Scripts | 1f3cb71683ec044dff67a46cd895773e8271effa | [
"Apache-2.0"
] | null | null | null | Interpolation/New Tab with Special Layers.py | juandelperal/Glyphs-Scripts | 1f3cb71683ec044dff67a46cd895773e8271effa | [
"Apache-2.0"
] | null | null | null | #MenuTitle: New Tab with Special Layers
# -*- coding: utf-8 -*-
from __future__ import division, print_function, unicode_literals
from builtins import str
__doc__="""
Opens a new Edit tab containing all special (bracket & brace) layers.
"""
Glyphs.clearLog() # clears log of Macro window
thisFont = Glyphs.font # frontm... | 28.533333 | 70 | 0.748832 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 0.46729 |
cfc4e76ff268f1b04652ad27abd0acee3bdfb297 | 3,244 | py | Python | tests/wallet/nft_wallet/test_ownership_outer_puzzle.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | tests/wallet/nft_wallet/test_ownership_outer_puzzle.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | tests/wallet/nft_wallet/test_ownership_outer_puzzle.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | from typing import Optional
from clvm_tools.binutils import assemble
from chinilla.types.blockchain_format.program import Program
from chinilla.types.blockchain_format.sized_bytes import bytes32
from chinilla.util.ints import uint16
from chinilla.wallet.nft_wallet.ownership_outer_puzzle import puzzle_for_ownership_la... | 42.684211 | 119 | 0.750308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 299 | 0.09217 |
cfc750727d6c4741228488819c79fe8825da6d65 | 15,095 | py | Python | data_loader.py | armyja/CHAOS_GCN | 685c84fdabf6db71cfc007cec41a72d900422920 | [
"MIT"
] | 4 | 2019-10-05T12:54:51.000Z | 2021-03-29T11:41:50.000Z | data_loader.py | armyja/CHAOS_GCN | 685c84fdabf6db71cfc007cec41a72d900422920 | [
"MIT"
] | null | null | null | data_loader.py | armyja/CHAOS_GCN | 685c84fdabf6db71cfc007cec41a72d900422920 | [
"MIT"
] | 3 | 2019-10-05T12:54:55.000Z | 2021-07-15T05:32:37.000Z | import math
import random
import torch
import numpy as np
from torch.utils.data.dataset import Dataset
from PIL import Image
import os
from torchvision import transforms
from utils import *
# 1 x n_class x height x width tensor
def decode_output_to_label(temp):
n, c, h, w = temp.size()
temp = temp.transpo... | 37.7375 | 111 | 0.549718 | 14,542 | 0.963365 | 0 | 0 | 0 | 0 | 0 | 0 | 2,192 | 0.145214 |
cfc8236b7f2f5731cc673472309e507f47fa4c37 | 301 | py | Python | Unit 2 Review of Rock and Fluid Properties/functions/waterfvf.py | datasolver/reservoir-engineering | 82393cff19e700fe3c7ac5c1a32ba877a4e40750 | [
"MIT"
] | null | null | null | Unit 2 Review of Rock and Fluid Properties/functions/waterfvf.py | datasolver/reservoir-engineering | 82393cff19e700fe3c7ac5c1a32ba877a4e40750 | [
"MIT"
] | null | null | null | Unit 2 Review of Rock and Fluid Properties/functions/waterfvf.py | datasolver/reservoir-engineering | 82393cff19e700fe3c7ac5c1a32ba877a4e40750 | [
"MIT"
] | 1 | 2020-06-24T15:50:00.000Z | 2020-06-24T15:50:00.000Z | def waterfvf(temp, p):
"Water FVF (Bw)"
# temp in Fahrenheit
# p pressure in psia
Vwp = (-1.95301E-9 * p * temp) - (1.72834E-13 * (p**2) * temp) - (3.588922E-7 * p) - (2.25341E-10 * p**2)
Vwt = (-1E-2) + (1.33391E-2 * temp) + (5.50654E-7 * temp**2)
Bw = (1 + Vwt) * (1 + Vwp)
return(Bw)
| 33.444444 | 107 | 0.524917 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.186047 |
cfc917659c598b9f2aa9c65e7f6160274733ada1 | 3,258 | py | Python | pcfv/networks/UNet.py | jiayangshi/pcf | 1e3c5847bdb4100f60b7251cefb9cfe7a76c3c64 | [
"MIT"
] | null | null | null | pcfv/networks/UNet.py | jiayangshi/pcf | 1e3c5847bdb4100f60b7251cefb9cfe7a76c3c64 | [
"MIT"
] | null | null | null | pcfv/networks/UNet.py | jiayangshi/pcf | 1e3c5847bdb4100f60b7251cefb9cfe7a76c3c64 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from pcfv.layers.ConvBlock import ConvBlock
from pcfv.layers.ScalingBlock import ScalingBlock
class UNet(nn.Module):
'''
Implementation of UNet (Ronneberger et al. U-Net: Convolutional Networks for Biomedical Image Segmentation)
'''
def __init__(self, in_channels, ou... | 47.911765 | 134 | 0.7124 | 3,127 | 0.959791 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.059853 |
cfcb567563b3d4494c056cf9b6b3cc3c9bd24ae3 | 12,191 | py | Python | core/models/bev_speed_model.py | timothijoe/DI-drive | 3cddefc85bbbca6bcdd8a4d796decacaf8d81778 | [
"Apache-2.0"
] | null | null | null | core/models/bev_speed_model.py | timothijoe/DI-drive | 3cddefc85bbbca6bcdd8a4d796decacaf8d81778 | [
"Apache-2.0"
] | null | null | null | core/models/bev_speed_model.py | timothijoe/DI-drive | 3cddefc85bbbca6bcdd8a4d796decacaf8d81778 | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
from typing import Dict, Optional, Tuple, List, Union
from ding.torch_utils import MLP
class BEVSpeedConvEncoder(nn.Module):
"""
Convolutional encoder of Bird-eye View image and speed input. It takes a BeV image and a speed scalar as input.
The BeV image is encoded by a... | 37.860248 | 118 | 0.618817 | 12,050 | 0.988434 | 0 | 0 | 0 | 0 | 0 | 0 | 3,636 | 0.298253 |
cfcd1eaf4baa629441933c1fc83033c5ec5c7761 | 351 | py | Python | chapter5/source code/show-descriptors.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 74 | 2020-05-19T01:08:03.000Z | 2022-03-31T14:00:41.000Z | chapter5/source code/show-descriptors.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 1 | 2021-06-04T06:08:21.000Z | 2021-06-04T06:08:21.000Z | chapter5/source code/show-descriptors.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 47 | 2020-05-05T12:06:31.000Z | 2022-03-10T04:45:01.000Z | from stem.descriptor.remote import DescriptorDownloader
downloader = DescriptorDownloader()
descriptors = downloader.get_consensus().run()
for descriptor in descriptors:
print('Nickname:',descriptor.nickname)
print('Fingerprint:',descriptor.fingerprint)
print('Address:',descriptor.address)
print('Band... | 29.25 | 55 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.133903 |
cfce448de4932fcdd0211b3f96ebcde12de01549 | 920 | py | Python | python/examples/_paramiko.py | mr-uuid/snippets | 49bb59641d8160d7635b8d5e574cb50f9e5362e2 | [
"MIT"
] | null | null | null | python/examples/_paramiko.py | mr-uuid/snippets | 49bb59641d8160d7635b8d5e574cb50f9e5362e2 | [
"MIT"
] | 1 | 2021-03-10T04:00:01.000Z | 2021-03-10T04:00:01.000Z | python/examples/_paramiko.py | mr-uuid/snippets | 49bb59641d8160d7635b8d5e574cb50f9e5362e2 | [
"MIT"
] | null | null | null | import getpass
import paramiko
class SSHConnection(object):
def __init__(self, host, username, password):
self.host = host
self.username = username
self.password = password
self.ssh = paramiko.SSHClient()
self.ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
d... | 27.878788 | 72 | 0.619565 | 489 | 0.531522 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.046739 |
cfcf530f45cfc31304305ccd0a5618dda6f958ac | 1,266 | py | Python | perception/manage.py | ramaneswaran/perception | 045b85634412355d66b2db6a102a97796c9aa11f | [
"Apache-2.0"
] | 1 | 2021-04-14T10:58:13.000Z | 2021-04-14T10:58:13.000Z | perception/manage.py | shivamsaraswat8/perception | 045b85634412355d66b2db6a102a97796c9aa11f | [
"Apache-2.0"
] | null | null | null | perception/manage.py | shivamsaraswat8/perception | 045b85634412355d66b2db6a102a97796c9aa11f | [
"Apache-2.0"
] | 1 | 2021-04-10T18:02:45.000Z | 2021-04-10T18:02:45.000Z | import os
from sqlalchemy.orm import Session
from perception.database import SessionLocal, engine
from perception import models, schemas
from perception.core.faiss_helper import FaissCore
models.Base.metadata.create_all(bind=engine)
# Dependency
def get_db():
db = SessionLocal()
try:
yield db
f... | 23.018182 | 86 | 0.666667 | 0 | 0 | 95 | 0.075039 | 0 | 0 | 0 | 0 | 307 | 0.242496 |
cfd03e2de858927a123e0392f69647b19f5245c3 | 3,462 | py | Python | lamblayer/init.py | YU-SUKETAKAHASHI/lamblayer | 5650235d16a40c41e8395a1fae7484c8c297e2ef | [
"MIT"
] | 7 | 2021-12-24T03:51:28.000Z | 2022-01-31T02:50:46.000Z | lamblayer/init.py | YU-SUKETAKAHASHI/lamblayer | 5650235d16a40c41e8395a1fae7484c8c297e2ef | [
"MIT"
] | null | null | null | lamblayer/init.py | YU-SUKETAKAHASHI/lamblayer | 5650235d16a40c41e8395a1fae7484c8c297e2ef | [
"MIT"
] | null | null | null | import os
import json
import requests
import click
from .lamblayer import Lamblayer
class Init(Lamblayer):
def __init__(self, profile, region, log_level):
super().__init__(profile, region, log_level)
def __call__(self, function_name, download):
self.init(function_name, download)
def in... | 28.85 | 82 | 0.590699 | 3,373 | 0.974292 | 0 | 0 | 0 | 0 | 0 | 0 | 1,344 | 0.388215 |
cfd0af6f971f3ce7bf05347862e1f5a1232a4e5f | 3,135 | py | Python | deadunits/model_load.py | google-research/deadunits | 5f4c7d9dc0201cefeb3dc970bcaee66a78cfa423 | [
"Apache-2.0"
] | 3 | 2021-04-01T02:52:04.000Z | 2021-11-05T15:48:43.000Z | deadunits/model_load.py | google-research/deadunits | 5f4c7d9dc0201cefeb3dc970bcaee66a78cfa423 | [
"Apache-2.0"
] | null | null | null | deadunits/model_load.py | google-research/deadunits | 5f4c7d9dc0201cefeb3dc970bcaee66a78cfa423 | [
"Apache-2.0"
] | 2 | 2021-11-05T15:45:30.000Z | 2022-01-16T11:50:00.000Z | # coding=utf-8
# Copyright 2021 The Deadunits Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 37.321429 | 80 | 0.717384 | 0 | 0 | 0 | 0 | 2,009 | 0.640829 | 0 | 0 | 1,539 | 0.490909 |
cfd382c12e449f2aff45f8f06e3114ca6cda9658 | 1,077 | py | Python | programme/migrations/0076_auto_20190207_1753.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 13 | 2015-11-29T12:19:12.000Z | 2021-02-21T15:42:11.000Z | programme/migrations/0076_auto_20190207_1753.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 23 | 2015-04-29T19:43:34.000Z | 2021-02-10T05:50:17.000Z | programme/migrations/0076_auto_20190207_1753.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 11 | 2015-09-20T18:59:00.000Z | 2020-02-07T08:47:34.000Z | # Generated by Django 2.1.5 on 2019-02-07 15:53
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('paikkala', '0010_nonblank_room'),
('programme', '0075_auto_20181019_1918'),
]
operations = [
migrat... | 34.741935 | 163 | 0.64624 | 951 | 0.883008 | 0 | 0 | 0 | 0 | 0 | 0 | 329 | 0.305478 |
cfd4d7c0086556f8eca75a77d9aa25874ed6b8b1 | 587 | py | Python | mentorbot/MentorRequests/urls.py | MentorBot/Webhook | 696ce15f41d1c15a6cae336c41f3e56e4a3e5056 | [
"Unlicense"
] | 2 | 2018-06-04T10:46:09.000Z | 2020-06-02T14:48:44.000Z | mentorbot/MentorRequests/urls.py | MentorBot/Webhook | 696ce15f41d1c15a6cae336c41f3e56e4a3e5056 | [
"Unlicense"
] | 4 | 2018-07-18T13:16:50.000Z | 2021-09-07T23:41:25.000Z | mentorbot/MentorRequests/urls.py | MentorBot/Webhook | 696ce15f41d1c15a6cae336c41f3e56e4a3e5056 | [
"Unlicense"
] | null | null | null | from django.conf.urls import url
from rest_framework.urlpatterns import format_suffix_patterns
from .views import CreateView, ListView, RetrieveView, DestroyView, UpdateView
urlpatterns = {
url(r'^mentorrequests/$', CreateView.as_view(), name="create"),
url(r'^mentorrequests/$', ListView.as_view(), name="list... | 39.133333 | 78 | 0.735945 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 141 | 0.240204 |
cfd4fb606ff1d4d7e97383391e3aac4284986abd | 4,012 | py | Python | scripts/generate_topk.py | sarapapi/FBK-fairseq-ST | 33f381937c1589602944da8cf39e533802d283ca | [
"MIT"
] | 11 | 2021-02-28T23:33:18.000Z | 2022-02-11T20:42:18.000Z | scripts/generate_topk.py | sarapapi/FBK-fairseq-ST | 33f381937c1589602944da8cf39e533802d283ca | [
"MIT"
] | 1 | 2021-05-21T08:08:19.000Z | 2021-06-30T12:28:55.000Z | scripts/generate_topk.py | sarapapi/FBK-fairseq-ST | 33f381937c1589602944da8cf39e533802d283ca | [
"MIT"
] | 5 | 2021-03-15T02:05:38.000Z | 2022-02-14T09:20:20.000Z | import logging
import os
import torch
import numpy as np
from fairseq import utils, options, tasks, progress_bar, checkpoint_utils
from fairseq.data.knowledge_distillation import TeacherOutputDataset
logger = logging.getLogger(__name__)
def gen_outputs(args):
use_cuda = torch.cuda.is_available() and not args.... | 38.209524 | 102 | 0.662512 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 511 | 0.127368 |
cfd56d6ececcc1cd67817258728c7adf9fc34aee | 1,796 | py | Python | vagrant/catalog/database_setup.py | sxw031/fullstack-nanodegree-vm | ce4b7cfd3d1c147298dcf1ca3b4ad897837dc62e | [
"MIT"
] | null | null | null | vagrant/catalog/database_setup.py | sxw031/fullstack-nanodegree-vm | ce4b7cfd3d1c147298dcf1ca3b4ad897837dc62e | [
"MIT"
] | null | null | null | vagrant/catalog/database_setup.py | sxw031/fullstack-nanodegree-vm | ce4b7cfd3d1c147298dcf1ca3b4ad897837dc62e | [
"MIT"
] | null | null | null | import os, sys
from sqlalchemy import Column, ForeignKey, Integer, String, Unicode
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
# from sqlalchemy_imageattach.entity import Image, image_attachment
from sqlalchemy import create_engine
Base = declarative_base()
class U... | 23.324675 | 67 | 0.716036 | 1,352 | 0.752784 | 0 | 0 | 539 | 0.300111 | 0 | 0 | 420 | 0.233853 |
cfd6ca41e1b805ea3a585af7c332ce47525812b5 | 9,903 | py | Python | catkin_ws/src/patrolling_node/src/patrolling_node_test.py | championway/DuckietownPi2 | ab80ec901ab50337b5f20c9652bc7b8503e2a348 | [
"CC-BY-2.0"
] | 1 | 2019-11-12T14:06:06.000Z | 2019-11-12T14:06:06.000Z | catkin_ws/src/patrolling_node/src/patrolling_node_test.py | championway/DuckietownPi3_NCTU | ab80ec901ab50337b5f20c9652bc7b8503e2a348 | [
"CC-BY-2.0"
] | null | null | null | catkin_ws/src/patrolling_node/src/patrolling_node_test.py | championway/DuckietownPi3_NCTU | ab80ec901ab50337b5f20c9652bc7b8503e2a348 | [
"CC-BY-2.0"
] | null | null | null | #!/usr/bin/env python
import rospkg
import rospy
import yaml
from std_msgs.msg import Int8
from duckietown_msgs.msg import PatrolBot, BoolStamped, RobotName
import numpy as np
import tf.transformations as tr
from geometry_msgs.msg import PoseStamped
import time
class PatrollingNode(object):
def __init__(self):
... | 35.880435 | 104 | 0.553065 | 9,512 | 0.960517 | 0 | 0 | 0 | 0 | 0 | 0 | 1,581 | 0.159649 |
cfd6ee08050d84e7c5fe8334aa7dac72cbb2dd09 | 125 | py | Python | data/module/util/got/manager/__init__.py | williamducfer/eras | d85b8b53431f4416152e3f536bc8c99481a63dd7 | [
"MIT"
] | 1 | 2020-09-09T19:51:44.000Z | 2020-09-09T19:51:44.000Z | data/module/util/got/manager/__init__.py | williamducfer/eras | d85b8b53431f4416152e3f536bc8c99481a63dd7 | [
"MIT"
] | null | null | null | data/module/util/got/manager/__init__.py | williamducfer/eras | d85b8b53431f4416152e3f536bc8c99481a63dd7 | [
"MIT"
] | 2 | 2021-09-11T07:31:19.000Z | 2022-03-17T16:27:10.000Z | from module.util.got.manager.TweetCriteria import TweetCriteria
from module.util.got.manager.TweetManager import TweetManager | 62.5 | 63 | 0.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfda4ec83b1837072ae82cc908a8914b6342956d | 2,332 | py | Python | counting_paths_in_matrix.py | Sem8/lambda_x_whiteboard | bffbbd281bc825b3d21ac0462b61e60e7f299fab | [
"MIT"
] | null | null | null | counting_paths_in_matrix.py | Sem8/lambda_x_whiteboard | bffbbd281bc825b3d21ac0462b61e60e7f299fab | [
"MIT"
] | null | null | null | counting_paths_in_matrix.py | Sem8/lambda_x_whiteboard | bffbbd281bc825b3d21ac0462b61e60e7f299fab | [
"MIT"
] | null | null | null | # generate an nxn matrix with cells above the diagonal blocked out
def generate_matrix(n):
matrix = [[1 for i in range(n)] for _ in range(n)]
for i in range(n):
for j in range(n):
if i < j:
matrix[i][j] = -1
return matrix
# receives a matrix and row and col parameters indicating the
# s... | 32.84507 | 69 | 0.686535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 840 | 0.357143 |
cfdb04f375f82469afd2de9898e6269f06588e28 | 3,928 | py | Python | DTL/db/models/tablemodel.py | rocktavious/DevToolsLib | 117200c91a3361e04f7c8e07d2ed4999bbcfc469 | [
"MIT"
] | 1 | 2015-03-23T18:52:12.000Z | 2015-03-23T18:52:12.000Z | DTL/db/models/tablemodel.py | rocktavious/DevToolsLib | 117200c91a3361e04f7c8e07d2ed4999bbcfc469 | [
"MIT"
] | null | null | null | DTL/db/models/tablemodel.py | rocktavious/DevToolsLib | 117200c91a3361e04f7c8e07d2ed4999bbcfc469 | [
"MIT"
] | 2 | 2017-05-21T12:50:41.000Z | 2021-10-17T03:32:45.000Z | from DTL.qt import QtCore, QtGui
from DTL.qt.QtCore import Qt
#------------------------------------------------------------
#------------------------------------------------------------
class TableModel(QtCore.QAbstractTableModel):
#------------------------------------------------------------
def __init__(self... | 33.862069 | 76 | 0.455448 | 3,741 | 0.952393 | 0 | 0 | 0 | 0 | 0 | 0 | 936 | 0.238289 |
cfdb1d30cc9bd9520aaaaae8ec7fdec44f23d872 | 38 | py | Python | HashableDict/__init__.py | IFcoltransG/HashableDict | d638176db7439e835e777241073433f496cabfcb | [
"Unlicense"
] | null | null | null | HashableDict/__init__.py | IFcoltransG/HashableDict | d638176db7439e835e777241073433f496cabfcb | [
"Unlicense"
] | null | null | null | HashableDict/__init__.py | IFcoltransG/HashableDict | d638176db7439e835e777241073433f496cabfcb | [
"Unlicense"
] | null | null | null | from HashableDict import HashableDict
| 19 | 37 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfdb523e6cf5322fbb1c670fdab52365d64979a9 | 296 | py | Python | Prototype/BasicRsshUsb/main.py | school-ehayashi1/6-1-22-ReverseSshWithPythonSocketWithScripts | 154a49b1e670999249a468724f380b62d34b806d | [
"MIT"
] | null | null | null | Prototype/BasicRsshUsb/main.py | school-ehayashi1/6-1-22-ReverseSshWithPythonSocketWithScripts | 154a49b1e670999249a468724f380b62d34b806d | [
"MIT"
] | null | null | null | Prototype/BasicRsshUsb/main.py | school-ehayashi1/6-1-22-ReverseSshWithPythonSocketWithScripts | 154a49b1e670999249a468724f380b62d34b806d | [
"MIT"
] | null | null | null | import os
#https://stackoverflow.com/questions/3751900/create-file-path-from-variables
import subprocess
process = subprocess.Popen(['powershell','-c', 'Get -PSDrive -PSProvider "Filesystem"'], stderr=subprocess.PIPE, stdout=subprocess.PIPE)
stdout, stderr = process.communicate()
print(stdout)
| 37 | 136 | 0.783784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.442568 |
cfdb6aea4b5d0ec5643271d0d007024ceb0871a2 | 7,187 | py | Python | tests/emulator/test_line_handler.py | pp81381/nicett6 | addace8fbd5350105bf4fb27d1b485bb9cf20236 | [
"MIT"
] | null | null | null | tests/emulator/test_line_handler.py | pp81381/nicett6 | addace8fbd5350105bf4fb27d1b485bb9cf20236 | [
"MIT"
] | 1 | 2021-06-06T20:43:09.000Z | 2021-06-06T20:43:09.000Z | tests/emulator/test_line_handler.py | pp81381/nicett6 | addace8fbd5350105bf4fb27d1b485bb9cf20236 | [
"MIT"
] | null | null | null | import asyncio
from nicett6.emulator.cover_emulator import TT6CoverEmulator
from nicett6.emulator.line_handler import (
LineHandler,
CMD_STOP,
CMD_MOVE_DOWN,
CMD_MOVE_UP,
)
from nicett6.ttbus_device import TTBusDeviceAddress
from unittest import IsolatedAsyncioTestCase
from unittest.mock import AsyncMoc... | 39.489011 | 88 | 0.685265 | 6,815 | 0.94824 | 0 | 0 | 0 | 0 | 6,303 | 0.877 | 670 | 0.093224 |
cfdf0c6bda6c585e0df43df55f4fc477cd434baa | 455 | py | Python | harvest/__init__.py | reinhardt/python-harvest | 7691e345a73361708396532e8e5f4a4dc293c211 | [
"Apache-2.0"
] | 50 | 2015-01-14T17:22:27.000Z | 2022-01-15T22:07:13.000Z | harvest/__init__.py | reinhardt/python-harvest | 7691e345a73361708396532e8e5f4a4dc293c211 | [
"Apache-2.0"
] | 48 | 2015-01-31T20:07:40.000Z | 2021-09-14T06:47:39.000Z | harvest/__init__.py | reinhardt/python-harvest | 7691e345a73361708396532e8e5f4a4dc293c211 | [
"Apache-2.0"
] | 59 | 2015-01-31T15:14:24.000Z | 2021-09-14T06:15:24.000Z | # -*- coding: utf-8 -*-
"""
Harvest Time Tracking API Client
~~~~~~~~~~~~~~~~
:copyright: © 2012 Aurora Software LLC
:license: Apache 2.0, see LICENSE for more details.
"""
from .metadata import (
__author__,
__copyright__,
__email__,
__license__,
__maintainer__,
__version__,
)
from .harvest... | 17.5 | 62 | 0.641758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 262 | 0.574561 |
cfe01a8804824c311ce3867e63b5c0e7159d9fc9 | 168 | py | Python | lib/app_blocker.py | esoadamo/simple-guardian-ad-hoc | d30afcff5ee14da10837908b531a0e04524e4c9a | [
"MIT"
] | null | null | null | lib/app_blocker.py | esoadamo/simple-guardian-ad-hoc | d30afcff5ee14da10837908b531a0e04524e4c9a | [
"MIT"
] | null | null | null | lib/app_blocker.py | esoadamo/simple-guardian-ad-hoc | d30afcff5ee14da10837908b531a0e04524e4c9a | [
"MIT"
] | null | null | null | class IPBlocker:
def block(self, ip: str) -> bool:
raise NotImplementedError()
def unblock(self, ip: str) -> bool:
raise NotImplementedError()
| 24 | 39 | 0.630952 | 167 | 0.994048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfe0414c8157e5f726b4a1a487bb20c7b5854909 | 706 | py | Python | wendy/models/seeds/chair.py | AIFI-INC/wendy-framework | e752748428dad550eb9fa1833571c721c089bbc6 | [
"Apache-2.0"
] | null | null | null | wendy/models/seeds/chair.py | AIFI-INC/wendy-framework | e752748428dad550eb9fa1833571c721c089bbc6 | [
"Apache-2.0"
] | 5 | 2021-12-11T18:39:59.000Z | 2021-12-12T02:34:25.000Z | wendy/models/seeds/chair.py | AIFI-INC/wendy-framework | e752748428dad550eb9fa1833571c721c089bbc6 | [
"Apache-2.0"
] | null | null | null | import os
import sys
import asyncio
from faker import Faker
faker = Faker()
sys.path.insert(0, os.path.abspath(os.curdir))
from config import init_db
from wendy.models import *
__all__ = [
'ChairFaker',
'seed_chair'
]
class ChairFaker(object):
async def generate(self, **kwargs):
await init_db()
... | 19.081081 | 46 | 0.594901 | 166 | 0.235127 | 0 | 0 | 0 | 0 | 136 | 0.192635 | 37 | 0.052408 |
cfe103929d40cc1fd5b17a3bd2751486f8d91d6a | 3,814 | py | Python | tasks/outlooksend.py | cmu-sei/usersim | 0a90e1c2f32ce27bbb564c7196050c50409989dd | [
"BSL-1.0"
] | 10 | 2018-05-07T07:52:51.000Z | 2021-09-04T05:34:46.000Z | tasks/outlooksend.py | cmu-sei/usersim | 0a90e1c2f32ce27bbb564c7196050c50409989dd | [
"BSL-1.0"
] | null | null | null | tasks/outlooksend.py | cmu-sei/usersim | 0a90e1c2f32ce27bbb564c7196050c50409989dd | [
"BSL-1.0"
] | 4 | 2018-04-09T17:59:13.000Z | 2019-11-17T01:33:35.000Z | # Copyright 2017 Carnegie Mellon University. See LICENSE.md file for terms.
import platform
try:
import win32com.client
except ImportError:
# Tasks must be importable on any platform.
pass
import api
from tasks import outlook
class OutlookSend(outlook.Outlook):
""" Interact with Outlook to send ema... | 34.990826 | 115 | 0.640535 | 3,570 | 0.936025 | 0 | 0 | 1,390 | 0.364447 | 0 | 0 | 1,660 | 0.435239 |
cfe226a8bc6ece89901ec8ede5be41c0f659536f | 5,093 | py | Python | tools/cFS-GroundSystem/Subsystems/cmdGui/Ui_ParameterDialog.py | ammarrm/cFS_MSTAR | f7d59eec4a445bb8572d01a580c043ec7a33df44 | [
"Apache-2.0"
] | 2 | 2021-09-11T18:55:33.000Z | 2021-11-08T11:29:58.000Z | tools/cFS-GroundSystem/Subsystems/cmdGui/Ui_ParameterDialog.py | ammarrm/cFS_MSTAR | f7d59eec4a445bb8572d01a580c043ec7a33df44 | [
"Apache-2.0"
] | null | null | null | tools/cFS-GroundSystem/Subsystems/cmdGui/Ui_ParameterDialog.py | ammarrm/cFS_MSTAR | f7d59eec4a445bb8572d01a580c043ec7a33df44 | [
"Apache-2.0"
] | 1 | 2021-04-23T04:26:08.000Z | 2021-04-23T04:26:08.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '/home/lbleier/cFS/tools/cFS-GroundSystem/Subsystems/cmdGui/ParameterDialog.ui'
#
# Created by: PyQt5 UI code generator 5.10.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Dial... | 53.610526 | 132 | 0.721186 | 4,784 | 0.939328 | 0 | 0 | 0 | 0 | 0 | 0 | 712 | 0.1398 |
cfe2c328ca281e6e8df6b265c3b65ba3bcd9631d | 1,936 | py | Python | deeplite/profiler/evaluate.py | Deeplite/deeplite-profiler | 2b21c0dc5948606c47377f786b605baf4fa31bee | [
"Apache-2.0"
] | 17 | 2021-04-13T06:09:52.000Z | 2021-11-24T06:39:41.000Z | deeplite/profiler/evaluate.py | Deeplite/deeplite-profiler | 2b21c0dc5948606c47377f786b605baf4fa31bee | [
"Apache-2.0"
] | 14 | 2021-04-14T13:46:42.000Z | 2021-12-20T21:10:25.000Z | deeplite/profiler/evaluate.py | Deeplite/deeplite-profiler | 2b21c0dc5948606c47377f786b605baf4fa31bee | [
"Apache-2.0"
] | 7 | 2021-04-09T16:47:56.000Z | 2022-03-05T11:04:30.000Z | from abc import ABC, abstractmethod
from .utils import Device, cast_tuple
class EvaluationFunction(ABC):
@abstractmethod
def __call__(self, mode, data_loader, device=Device.CPU, **kwargs):
raise NotImplementedError
@staticmethod
def filter_call_rval(rval, return_dict=None, return_keys=None, k... | 35.851852 | 105 | 0.595041 | 1,859 | 0.960227 | 0 | 0 | 1,818 | 0.93905 | 0 | 0 | 628 | 0.32438 |
cfe2fe297fd7bf90005dc5ad2f8cbaac94d7c10e | 213 | py | Python | desafio 013.py | KelvinAraujo/Python | 8bf05153838b603bcc51d363ad17aecb8ea8bdd2 | [
"MIT"
] | null | null | null | desafio 013.py | KelvinAraujo/Python | 8bf05153838b603bcc51d363ad17aecb8ea8bdd2 | [
"MIT"
] | null | null | null | desafio 013.py | KelvinAraujo/Python | 8bf05153838b603bcc51d363ad17aecb8ea8bdd2 | [
"MIT"
] | null | null | null | salario = float(input('\033[32m Quanto é o salário? R$'))
novo = salario + (salario * 15 / 100)
print('\033[36m Um funcionário que ganhava R${:.2f}, com aumento de 15% agora recebe R${:.2f}'.format(salario,novo))
| 53.25 | 116 | 0.676056 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124 | 0.574074 |
cfe33bb33e5b79b0415e45d5133e48665bc5bedc | 236 | py | Python | creat_name.py | Eric3911/miniDetection | 6fb6e1bce3ab6e4adb832b37e78325803c7424b6 | [
"MIT"
] | 70 | 2019-01-07T09:45:46.000Z | 2020-04-22T01:09:41.000Z | creat_name.py | Eric3911/mini-SSD | 6fb6e1bce3ab6e4adb832b37e78325803c7424b6 | [
"MIT"
] | null | null | null | creat_name.py | Eric3911/mini-SSD | 6fb6e1bce3ab6e4adb832b37e78325803c7424b6 | [
"MIT"
] | 24 | 2019-01-07T09:56:48.000Z | 2019-04-02T03:42:03.000Z | #2、生成名称目录脚本
import os
imglst = os.listdir("./annotations/xmls/")
with open("./annotations/trainval_person.txt","w") as ff:
for img_path in imglst:
name = img_path.split(".")[0]
print(name)
ff.write(name+"\n") | 29.5 | 57 | 0.622881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.374016 |
cfe3d87776cd3825a075db83aacd350f318e2832 | 2,146 | py | Python | monoweb/mono/cache.py | ragnraok/MonoReader | 4672f5f0ca48f69e9180b33b62e773ab323c2cbc | [
"MIT"
] | 1 | 2019-06-12T01:46:22.000Z | 2019-06-12T01:46:22.000Z | monoweb/mono/cache.py | ragnraok/MonoReader | 4672f5f0ca48f69e9180b33b62e773ab323c2cbc | [
"MIT"
] | null | null | null | monoweb/mono/cache.py | ragnraok/MonoReader | 4672f5f0ca48f69e9180b33b62e773ab323c2cbc | [
"MIT"
] | null | null | null | from flask import current_app
import pickle
import os
import time
import fcntl
class FileLock(object):
def __init__(self, filename, *args, **kwargs):
self.filename = filename
self.open_args = args
self.open_kwargs = kwargs
self.fileobj = None
def __enter__(self):
f = o... | 28.613333 | 85 | 0.55918 | 1,996 | 0.930103 | 0 | 0 | 198 | 0.092265 | 0 | 0 | 184 | 0.085741 |
cfe5ffbaebbe5bd0914a0d5d09fc0b8e3446928a | 140 | py | Python | extra_foam/database/__init__.py | scottwedge/EXtra-foam | 9a170e3097987bf8abf30abb64a52439624367b8 | [
"BSD-3-Clause"
] | null | null | null | extra_foam/database/__init__.py | scottwedge/EXtra-foam | 9a170e3097987bf8abf30abb64a52439624367b8 | [
"BSD-3-Clause"
] | null | null | null | extra_foam/database/__init__.py | scottwedge/EXtra-foam | 9a170e3097987bf8abf30abb64a52439624367b8 | [
"BSD-3-Clause"
] | null | null | null | from .metadata import Metadata, MetaProxy
from .mondata import MonProxy
from .data_source import DataTransformer, SourceCatalog, SourceItem
| 35 | 67 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfe6445a17d673248005f5bca926ac3f9b7ef028 | 1,806 | py | Python | server/db/models/user.py | tetelevm/OrdeRPG | 5bea9fbaf3fdd84ab14f7e3033e18eead2cf30ab | [
"MIT"
] | null | null | null | server/db/models/user.py | tetelevm/OrdeRPG | 5bea9fbaf3fdd84ab14f7e3033e18eead2cf30ab | [
"MIT"
] | null | null | null | server/db/models/user.py | tetelevm/OrdeRPG | 5bea9fbaf3fdd84ab14f7e3033e18eead2cf30ab | [
"MIT"
] | null | null | null | """
User models, which are responsible for authorization and all of the
user's business data.
"""
from sqlalchemy import func
from server.framework.db import (
attribute_presetter,
BaseModel,
)
from server.framework.db.fields import (
IntegerField,
StringField,
DateTimeField,
RandomStringField,... | 26.558824 | 69 | 0.704319 | 1,295 | 0.717054 | 0 | 0 | 115 | 0.063677 | 0 | 0 | 257 | 0.142303 |
cfe927bd7ca7e8f24aafb7b3f14f3e83885d3a2b | 27 | py | Python | src/sc3nb/resources/__init__.py | interactive-sonification/sc3nb | c6081ae01f4e72094b6cb6dbd9667278c8d21069 | [
"MIT"
] | 7 | 2021-08-02T12:57:13.000Z | 2022-02-16T08:54:23.000Z | src/sc3nb/resources/__init__.py | thomas-hermann/sc3nb | 7d7fbd9178fe804c5c8ddd0ddd4075579221b7c4 | [
"MIT"
] | 3 | 2019-08-09T17:56:18.000Z | 2020-10-24T13:05:47.000Z | src/sc3nb/resources/__init__.py | thomas-hermann/sc3nb | 7d7fbd9178fe804c5c8ddd0ddd4075579221b7c4 | [
"MIT"
] | 6 | 2019-04-18T17:25:42.000Z | 2020-04-28T09:43:33.000Z | """Module for resources"""
| 13.5 | 26 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.962963 |
cfe9564e19eb5444e93954e93924e5e1836deed2 | 139 | py | Python | national_id/admin.py | AhmedElmougy/national-id-validator | 27d81cd6e3ef556074c0fd5097db0537fd2114c2 | [
"BSD-3-Clause"
] | 1 | 2021-06-24T08:31:44.000Z | 2021-06-24T08:31:44.000Z | national_id/admin.py | AhmedElmougy/national-id-validator | 27d81cd6e3ef556074c0fd5097db0537fd2114c2 | [
"BSD-3-Clause"
] | null | null | null | national_id/admin.py | AhmedElmougy/national-id-validator | 27d81cd6e3ef556074c0fd5097db0537fd2114c2 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from national_id.models import NationalId
# Register your models here.
admin.site.register(NationalId)
| 17.375 | 41 | 0.820144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.201439 |
cfebdc0f6cd106411e690aa30a03ad7d8289dd06 | 251 | py | Python | pynovice/gaode_map/__init__.py | wqwangchn/novice | d52190a9cd5045726e49aff8610b718636c304c7 | [
"MIT"
] | 2 | 2020-06-28T08:30:47.000Z | 2020-11-04T07:55:42.000Z | pynovice/gaode_map/__init__.py | wqwangchn/novice | d52190a9cd5045726e49aff8610b718636c304c7 | [
"MIT"
] | 8 | 2020-11-13T18:56:02.000Z | 2022-02-10T03:16:52.000Z | pynovice/gaode_map/__init__.py | wqwangchn/novice | d52190a9cd5045726e49aff8610b718636c304c7 | [
"MIT"
] | 2 | 2020-09-17T00:12:36.000Z | 2020-11-04T07:55:55.000Z | # coding=utf-8
# /usr/bin/env python
'''
Author: wenqiangw
Email: wenqiangw@opera.com
Date: 2020-07-28 15:07
Desc: 数据分布画图
'''
from .trajectory_playback import Trajectory as Trajectory_his
from .trajectory_playback_v2 import Trajectory as Trajectory | 19.307692 | 61 | 0.784861 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 0.513308 |
cfed38f69dc3fe98cfb032a42e95725930455fd7 | 87 | py | Python | lectures/code/numpy_scalar_ops.py | naskoch/python_course | 84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3 | [
"MIT"
] | 4 | 2015-08-10T17:46:55.000Z | 2020-04-18T21:09:03.000Z | lectures/code/numpy_scalar_ops.py | naskoch/python_course | 84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3 | [
"MIT"
] | null | null | null | lectures/code/numpy_scalar_ops.py | naskoch/python_course | 84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3 | [
"MIT"
] | 2 | 2019-04-24T03:31:02.000Z | 2019-05-13T07:36:06.000Z | A = np.ones((3,3))
print 3 * A - 1
# [[ 2. 2. 2.]
# [ 2. 2. 2.]
# [ 2. 2. 2.]] | 14.5 | 18 | 0.298851 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.563218 |
cfed61c9b170b49c4d5f7fdd3356dd67308b7946 | 5,901 | py | Python | fnn.py | Yanjing-PENG/feedforward-neural-network | 0ef94c172fdd4773beb6e7ca26e5c944a97f84de | [
"MIT"
] | null | null | null | fnn.py | Yanjing-PENG/feedforward-neural-network | 0ef94c172fdd4773beb6e7ca26e5c944a97f84de | [
"MIT"
] | null | null | null | fnn.py | Yanjing-PENG/feedforward-neural-network | 0ef94c172fdd4773beb6e7ca26e5c944a97f84de | [
"MIT"
] | null | null | null | """
This program builds a two-layer neural network for the Iris dataset.
The first layer is a relu layer with 10 units, and the second one is
a softmax layer. The network structure is specified in the "train" function.
The parameters are learned using SGD. The forward propagation and backward
propagation are carri... | 30.261538 | 101 | 0.604304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,884 | 0.319268 |
cfeff2979c260def21d3497db63dd0e2915c929e | 3,021 | py | Python | src/commands/context_create_override.py | EatBreatheCode/sublime_override_audit | 4170bccc88e5442e18f337e291b771769b00d3c4 | [
"MIT"
] | 31 | 2017-01-28T10:08:12.000Z | 2021-06-01T06:57:27.000Z | src/commands/context_create_override.py | EatBreatheCode/sublime_override_audit | 4170bccc88e5442e18f337e291b771769b00d3c4 | [
"MIT"
] | 34 | 2017-02-03T14:47:00.000Z | 2020-05-27T05:48:09.000Z | src/commands/context_create_override.py | EatBreatheCode/sublime_override_audit | 4170bccc88e5442e18f337e291b771769b00d3c4 | [
"MIT"
] | 8 | 2017-02-03T08:31:36.000Z | 2022-02-26T20:13:43.000Z | import sublime
import sublime_plugin
from os.path import isfile
from ..core import oa_setting, setup_new_override_view
from ..core import PackageListCollectionThread, ContextHelper
###----------------------------------------------------------------------------
class OverrideAuditContextCreateOverrideCommand(Contex... | 37.7625 | 92 | 0.617014 | 2,672 | 0.884475 | 0 | 0 | 0 | 0 | 0 | 0 | 1,210 | 0.40053 |
cff1461f14e1b3e15b0d50f0e2b63bd501d06025 | 2,557 | py | Python | nicos_mlz/pgaa/devices/sampledevices.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | nicos_mlz/pgaa/devices/sampledevices.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | nicos_mlz/pgaa/devices/sampledevices.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | # -*- coding: utf-8 -*-
# *****************************************************************************
# NICOS, the Networked Instrument Control System of the MLZ
# Copyright (c) 2009-2022 by the NICOS contributors (see AUTHORS)
#
# This program is free software; you can redistribute it and/or modify it under
# the t... | 37.057971 | 79 | 0.625342 | 1,343 | 0.525225 | 0 | 0 | 0 | 0 | 0 | 0 | 1,423 | 0.556512 |
cff1495f394175c6790d78adf453d9a0c02b8fdf | 685 | py | Python | leetcode-python/num179.py | shuaizi/leetcode | c943410575f380a00335bf5ac8d361af53a92d78 | [
"Apache-2.0"
] | null | null | null | leetcode-python/num179.py | shuaizi/leetcode | c943410575f380a00335bf5ac8d361af53a92d78 | [
"Apache-2.0"
] | null | null | null | leetcode-python/num179.py | shuaizi/leetcode | c943410575f380a00335bf5ac8d361af53a92d78 | [
"Apache-2.0"
] | null | null | null | __author__ = 'shuai'
class Solution:
# @param {integer[]} nums
# @return {string}
def largestNumber(self, nums):
ret = ""
for i in range(len(nums)):
for j in range(i + 1, len(nums)):
str_i = str(nums[i])
str_j = str(nums[j])
if st... | 27.4 | 50 | 0.437956 | 600 | 0.875912 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.135766 |
cff1bfd2524009743a7797d9402b729d8f50fc4a | 1,907 | py | Python | lama/tests/test_data_generation.py | antshp-vc/LAMA | 2cef058cae160d775fbacd65bff717f10330475a | [
"Apache-2.0"
] | null | null | null | lama/tests/test_data_generation.py | antshp-vc/LAMA | 2cef058cae160d775fbacd65bff717f10330475a | [
"Apache-2.0"
] | null | null | null | lama/tests/test_data_generation.py | antshp-vc/LAMA | 2cef058cae160d775fbacd65bff717f10330475a | [
"Apache-2.0"
] | null | null | null | """
Test the steps needed to generate wild type and mutant data for use in the statistical analysis
Usage: pytest -v -m "not notest" test_data_generation.py
The use of -m "not notest" is to be able to omit certain tests with the @pytest.mark.notest decorator
"""
from pathlib import Path
from lama.registration_pipeli... | 33.45614 | 114 | 0.750393 | 0 | 0 | 0 | 0 | 488 | 0.255899 | 0 | 0 | 860 | 0.45097 |
cff23a15ff1214959fa2e3d85c5cc6d66b104339 | 42 | py | Python | dvc/repo/install.py | kaiogu/dvc | ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7 | [
"Apache-2.0"
] | 3 | 2020-01-31T05:33:14.000Z | 2021-05-20T08:19:25.000Z | dvc/repo/install.py | kaiogu/dvc | ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7 | [
"Apache-2.0"
] | null | null | null | dvc/repo/install.py | kaiogu/dvc | ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7 | [
"Apache-2.0"
] | 1 | 2019-09-02T00:29:40.000Z | 2019-09-02T00:29:40.000Z | def install(self):
self.scm.install()
| 14 | 22 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cff38ffb9953a78d832f2d9e41f612523b84e3e1 | 4,265 | py | Python | custom_components/pioneer_async/config_flow.py | 2t0m/ha-pioneer_async | bc0361536b257eb9059c0ba5cfa6103e1907f8cb | [
"Apache-2.0"
] | null | null | null | custom_components/pioneer_async/config_flow.py | 2t0m/ha-pioneer_async | bc0361536b257eb9059c0ba5cfa6103e1907f8cb | [
"Apache-2.0"
] | null | null | null | custom_components/pioneer_async/config_flow.py | 2t0m/ha-pioneer_async | bc0361536b257eb9059c0ba5cfa6103e1907f8cb | [
"Apache-2.0"
] | null | null | null | """Config flow for pioneer_async integration."""
import logging
import voluptuous as vol
from homeassistant import config_entries, core, exceptions
from homeassistant.const import (
CONF_HOST,
CONF_PORT,
CONF_SCAN_INTERVAL,
CONF_TIMEOUT,
)
from homeassistant.core import callback
from .pioneer_avr imp... | 32.807692 | 97 | 0.637749 | 2,971 | 0.6966 | 0 | 0 | 184 | 0.043142 | 2,847 | 0.667526 | 937 | 0.219695 |
cff54bf21d2c7f73c7e6e904fd48c71ab9313a53 | 253 | py | Python | invitation/admin.py | volrath/django-invitation-backend | aaab733be53c3626efcb762f5a85793a0963e876 | [
"BSD-3-Clause"
] | 1 | 2019-06-27T13:58:43.000Z | 2019-06-27T13:58:43.000Z | invitation/admin.py | volrath/django-invitation-backend | aaab733be53c3626efcb762f5a85793a0963e876 | [
"BSD-3-Clause"
] | null | null | null | invitation/admin.py | volrath/django-invitation-backend | aaab733be53c3626efcb762f5a85793a0963e876 | [
"BSD-3-Clause"
] | 3 | 2015-03-29T17:45:02.000Z | 2021-05-10T15:49:40.000Z | from __future__ import absolute_import
from django.contrib import admin
from .models import Invitation
class InvitationAdmin(admin.ModelAdmin):
list_display = ('user', 'email', 'expiration_date')
admin.site.register(Invitation, InvitationAdmin)
| 23 | 55 | 0.798419 | 96 | 0.379447 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.118577 |
cff5e002899e3ed1c30ff51720ac0be6ed86fc5b | 6,316 | py | Python | TwoTimeScaleHybridLearning/src/comparison_poc_3.py | sidsrini12/FURL_Sim | 55b420a771858c06f1aef58f48bb68302be36621 | [
"MIT"
] | null | null | null | TwoTimeScaleHybridLearning/src/comparison_poc_3.py | sidsrini12/FURL_Sim | 55b420a771858c06f1aef58f48bb68302be36621 | [
"MIT"
] | null | null | null | TwoTimeScaleHybridLearning/src/comparison_poc_3.py | sidsrini12/FURL_Sim | 55b420a771858c06f1aef58f48bb68302be36621 | [
"MIT"
] | null | null | null | import argparse
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import pickle as pkl
import common.config as cfg
from common.utils import Struct
matplotlib.rcParams.update({'font.size': 24})
matplotlib.rcParams['lines.linewidth'] = 2.5
matplotlib.rcParams['... | 36.72093 | 80 | 0.651203 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 867 | 0.13727 |
cff74728899c8059dabaf8a45e44b747f83f7f39 | 23 | py | Python | classifier/__init__.py | django-stars/django-classifier | d2f207c80b47f755be2e23fc472a838e440088d4 | [
"BSD-3-Clause"
] | 26 | 2016-09-01T05:11:57.000Z | 2021-09-01T03:38:54.000Z | classifier/__init__.py | django-stars/django-classifier | d2f207c80b47f755be2e23fc472a838e440088d4 | [
"BSD-3-Clause"
] | 2 | 2017-04-01T08:48:58.000Z | 2018-05-02T13:43:16.000Z | classifier/__init__.py | django-stars/django-classifier | d2f207c80b47f755be2e23fc472a838e440088d4 | [
"BSD-3-Clause"
] | 2 | 2017-04-01T08:45:12.000Z | 2018-05-01T16:40:17.000Z | VERSION = (0, 2, 2, 1)
| 11.5 | 22 | 0.478261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cff7f0dca5d382c69b5e9605f440ff2bd5bd0d15 | 638 | py | Python | code/ex3.2-aio_multiple_requests.py | MA3STR0/PythonAsyncWorkshop | e7ecbcf602be4e858b6b7415335da5fa35018605 | [
"MIT"
] | 2 | 2015-11-26T15:33:28.000Z | 2015-11-29T23:28:34.000Z | code/ex3.2-aio_multiple_requests.py | MA3STR0/PythonAsyncWorkshop | e7ecbcf602be4e858b6b7415335da5fa35018605 | [
"MIT"
] | null | null | null | code/ex3.2-aio_multiple_requests.py | MA3STR0/PythonAsyncWorkshop | e7ecbcf602be4e858b6b7415335da5fa35018605 | [
"MIT"
] | 3 | 2017-07-25T08:02:15.000Z | 2020-10-26T10:06:15.000Z | import asyncio
import aiohttp
import time
URLS = [
'http://127.0.0.1:8000',
'http://127.0.0.1:8000',
'http://127.0.0.1:8000',
]
@asyncio.coroutine
def request_greetings():
response_tasks = yield from asyncio.wait([aiohttp.get(url) for url in URLS])
text_tasks = yield from asyncio.wait(
[ta... | 23.62963 | 80 | 0.673981 | 0 | 0 | 296 | 0.46395 | 315 | 0.49373 | 0 | 0 | 89 | 0.139498 |
cff94841fb558efbf47ac2efacf5957f299d35b0 | 394 | py | Python | utils.py | sidchilling/zerodha_TA | b1c67cfdc16e8ef569f13c8529621322d0eadb27 | [
"Apache-2.0"
] | 13 | 2018-04-12T06:03:44.000Z | 2021-05-22T22:42:53.000Z | utils.py | sidchilling/zerodha_TA | b1c67cfdc16e8ef569f13c8529621322d0eadb27 | [
"Apache-2.0"
] | null | null | null | utils.py | sidchilling/zerodha_TA | b1c67cfdc16e8ef569f13c8529621322d0eadb27 | [
"Apache-2.0"
] | 15 | 2018-12-28T21:34:46.000Z | 2022-01-16T14:54:05.000Z | from mongoengine import *
from models import *
def get_symbol_data(symbol):
db_client = connect(db = 'stocks_db')
data = []
for sp in StockPrice.objects(symbol = symbol).order_by('date'):
data.append({
'date': sp.date,
'open': sp.open,
'high': sp.high,
'low': sp.low,
'close': sp... | 23.176471 | 65 | 0.604061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.139594 |
cff9ae37ed184a7106978b35ce97b96f7c324bca | 1,434 | py | Python | sa/profiles/HP/GbE2/get_mac_address_table.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 84 | 2017-10-22T11:01:39.000Z | 2022-02-27T03:43:48.000Z | sa/profiles/HP/GbE2/get_mac_address_table.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 22 | 2017-12-11T07:21:56.000Z | 2021-09-23T02:53:50.000Z | sa/profiles/HP/GbE2/get_mac_address_table.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 23 | 2017-12-06T06:59:52.000Z | 2022-02-24T00:02:25.000Z | # ---------------------------------------------------------------------
# HP.GbE2.get_mac_address_table
# ---------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# ---------------------------------------------------------------------
# N... | 34.97561 | 79 | 0.456764 | 948 | 0.661088 | 0 | 0 | 0 | 0 | 0 | 0 | 473 | 0.329847 |
cff9d5239b3700f0d9618adc535bbe162bd56f31 | 65 | py | Python | setup.py | rioyokotalab/asdfghjkl | f435c1e2527162fb07512b4ce5058460aab238b9 | [
"MIT"
] | null | null | null | setup.py | rioyokotalab/asdfghjkl | f435c1e2527162fb07512b4ce5058460aab238b9 | [
"MIT"
] | null | null | null | setup.py | rioyokotalab/asdfghjkl | f435c1e2527162fb07512b4ce5058460aab238b9 | [
"MIT"
] | null | null | null | import setuptools
if __name__ == "main":
setuptools.setup()
| 13 | 22 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.092308 |
cffa548efb720426a20010047da63946608d1f48 | 1,628 | py | Python | src/api_trt/prepare_models.py | a7ypically/InsightFace-REST | 8436a9308ba335102ae059f57a4fc83c5e7098b5 | [
"Apache-2.0"
] | null | null | null | src/api_trt/prepare_models.py | a7ypically/InsightFace-REST | 8436a9308ba335102ae059f57a4fc83c5e7098b5 | [
"Apache-2.0"
] | null | null | null | src/api_trt/prepare_models.py | a7ypically/InsightFace-REST | 8436a9308ba335102ae059f57a4fc83c5e7098b5 | [
"Apache-2.0"
] | null | null | null | import os
import logging
from modules.utils.helpers import parse_size, tobool, validate_max_size
from modules.model_zoo.getter import prepare_backend
from modules.configs import Configs
from env_parser import EnvConfigs
log_level = os.getenv('LOG_LEVEL', 'INFO')
logging.basicConfig(
level=log_level,
format='... | 30.716981 | 105 | 0.687961 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 161 | 0.098894 |
cffa6ded7c7c5d1fba7de3158859d833e3843ca3 | 8,202 | py | Python | TUI/ScriptMenu.py | r-owen/TUI | 8f130368254161a2748167b7c8260cc24170c28c | [
"BSD-3-Clause"
] | 1 | 2015-04-29T20:28:20.000Z | 2015-04-29T20:28:20.000Z | TUI/ScriptMenu.py | ApachePointObservatory/TUI | 8f130368254161a2748167b7c8260cc24170c28c | [
"BSD-3-Clause"
] | 1 | 2017-06-05T22:53:58.000Z | 2017-06-05T22:53:58.000Z | TUI/ScriptMenu.py | r-owen/TUI | 8f130368254161a2748167b7c8260cc24170c28c | [
"BSD-3-Clause"
] | 1 | 2020-01-28T06:28:02.000Z | 2020-01-28T06:28:02.000Z | #!/usr/bin/env python
"""Creates the Script menu.
To Do:
- add html help; note that this will have to be fed to ScriptWdg,
RO.ScriptWdg has no idea of TUI help
History:
2004-07-19 ROwen
2004-08-11 ROwen Modified for updated RO.Wdg.Toplevel.
2004-08-23 ROwen Added some diagnostic print statements (commented ou... | 35.353448 | 106 | 0.588881 | 6,116 | 0.745672 | 0 | 0 | 0 | 0 | 0 | 0 | 3,890 | 0.474275 |