max_stars_repo_path stringlengths 3 269 | max_stars_repo_name stringlengths 4 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.05M | score float64 0.23 5.13 | int_score int64 0 5 |
|---|---|---|---|---|---|---|
pickups/irc.py | mtomwing/pickups | 75 | 24400 | <gh_stars>10-100
import logging
RPL_WELCOME = 1
RPL_WHOISUSER = 311
RPL_ENDOFWHO = 315
RPL_LISTSTART = 321
RPL_LIST = 322
RPL_LISTEND = 323
RPL_TOPIC = 332
RPL_WHOREPLY = 352
RPL_NAMREPLY = 353
RPL_ENDOFNAMES = 366
RPL_MOTD = 372
RPL_MOTDSTART = 375
RPL_ENDOFMOTD = 376
ERR_NOSUCHCHANNEL = 403
logger = logging.getLo... | 2.40625 | 2 |
ForumMediaAnalyzer/MediaAnalyzer.py | jesseVDwolf/ForumMediaAnalyzer | 0 | 24401 | import re
import cv2
import json
import base64
import logging
import requests
import numpy as np
from datetime import datetime
import pytz
import gridfs
import pymongo
from pymongo import MongoClient
from pymongo.errors import ServerSelectionTimeoutError as MongoServerSelectionTimeoutError
import image... | 2.34375 | 2 |
fluid/image_classification/train.py | bingyanghuang/models | 0 | 24402 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import numpy as np
import time
import sys
import functools
import math
import paddle
import paddle.fluid as fluid
import paddle.dataset.flowers as flowers
import models
import reader
import argparse
fr... | 2.171875 | 2 |
Room.py | jberkow713/Adventure_Game | 0 | 24403 | # Implement a class to hold room information. This should have name and
# description attributes.
class Room:
def __init__(self, number, world, name, description, enemies, enemyHP, enemy_diff, companion=[], item=[] ,enemy_description=[] ):
self.number = number
self.name = name
self.worl... | 3.375 | 3 |
server.py | fdp0525/seam-erasure | 1 | 24404 | from __future__ import print_function
import os
import base64
import cStringIO
import time
import numpy
from PIL import Image
from flask import (Flask, request, render_template, url_for, flash, redirect,
send_file)
from SeamErasure import seam_erasure, obj_reader, util
from SeamErasure.lib import weight_data
... | 2.34375 | 2 |
summarizer/server.py | mhsong95/ai-moderator | 4 | 24405 | <reponame>mhsong95/ai-moderator<filename>summarizer/server.py
from http.server import HTTPServer, BaseHTTPRequestHandler
from urllib.parse import parse_qs
from IPython.display import display
from summarizer import Summarizer
bert_model = Summarizer()
from transformers import pipeline
bart_summarizer = pipeline("summari... | 2.703125 | 3 |
otter/html.py | transientlunatic/otter | 0 | 24406 |
import matplotlib, numpy
from . import plot
import markdown
import tabulate
md_extensions = [
'markdown.extensions.tables',
'markdown.extensions.extra'
]
class HTMLElement(object):
tag = None
childtag = None
def __init__(self, content=None, **kwargs):
self.content = []
self.m... | 2.75 | 3 |
pymodaq_plugins/hardware/PI/PIPython/pipython/datarectools.py | SofyMeu/pymodaq_plugins | 1 | 24407 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Tools for setting up and using the data recorder of a PI device."""
from logging import debug, warning
from time import sleep, time
from pipython.pitools import FrozenClass
# seconds
SERVOTIMES = {
'C-413K011': 0.00003333333,
'C-663.11': 50E-6,
'C-702.00': 100... | 1.984375 | 2 |
stemel/stemel_foxdot.py | reneghosh/stemel | 0 | 24408 | from FoxDot import *
from stemel.stemel import *
def foxdotidy(pitches, durations, sustains):
"""
transform a stemel note matrix
into a foxdot-compatible one.
"""
# clean up values that have rests but other notes too
# replace mixed durations with the first non-rest
counter = 0
for line in durations:
... | 2.859375 | 3 |
msgpack_stream/_io.py | gesslerpd/msgpack-stream | 0 | 24409 | import io
class container(dict):
__getattr__ = dict.__getitem__
__setattr__ = dict.__setitem__
__delattr__ = dict.__delitem__
def pack(typ, obj):
stream = io.BytesIO()
typ.pack(stream, obj)
data = stream.getvalue()
stream.close()
return data
def unpack(typ, data):
stream = io.... | 2.8125 | 3 |
code/segmentation.py | alejandropages/KernelPheno | 0 | 24410 | <gh_stars>0
from skimage.segmentation import slic
from skimage.io import imread, imsave
from skimage.color import rgb2gray
from skimage.measure import label, regionprops
from skimage.filters import threshold_otsu, gaussian
from skimage.color import label2rgb
from skimage.morphology import binary_closing, binary_opening... | 2.3125 | 2 |
examples/logan.py | codepr/drain | 0 | 24411 | <gh_stars>0
#!/usr/bin/env python
#
# Drain usage example, a simple HTTP log aggregation stats monitor.
#
# Monitor an ever-growing HTTP log in Common Log Format by tailing it (let's a
# tail subprocess handle all the hassles like rename, re-creation during
# log-rotation etc.) and aggregating some stats on a time-basi... | 2.890625 | 3 |
Instructions/app.py | RHARO-DATA/sqlalchemy_Challenge | 0 | 24412 | from flask import Flask, jsonify
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func, desc
import pandas as pd
import numpy as np
import datetime as dt
import sqlalchemy
engine = create_engine("sqlite:///Resources/hawaii.sqlite")
... | 2.828125 | 3 |
cogdl/layers/gin_layer.py | cenyk1230/cogdl | 1,072 | 24413 | import torch
import torch.nn as nn
from cogdl.utils import spmm
class GINLayer(nn.Module):
r"""Graph Isomorphism Network layer from paper `"How Powerful are Graph
Neural Networks?" <https://arxiv.org/pdf/1810.00826.pdf>`__.
.. math::
h_i^{(l+1)} = f_\Theta \left((1 + \epsilon) h_i^{l} +
... | 2.953125 | 3 |
purviewcli/model/__init__.py | pblocz/purviewcli | 0 | 24414 | from .atlas import * | 1.195313 | 1 |
src/backend/database/__init__.py | aimanow/sft | 0 | 24415 | from app.extensions import db, bcrypt
__all__ = ['db', 'bcrypt']
| 1.140625 | 1 |
arboreto/utils.py | redst4r/arboreto | 20 | 24416 | <reponame>redst4r/arboreto<filename>arboreto/utils.py
"""
Utility functions.
"""
def load_tf_names(path):
"""
:param path: the path of the transcription factor list file.
:return: a list of transcription factor names read from the file.
"""
with open(path) as file:
tfs_in_file = [line.str... | 2.234375 | 2 |
twitter_auth.py | lagolucas/twitter-mimic | 1 | 24417 | <filename>twitter_auth.py
import tweepy
def autentica():
auth = tweepy.OAuthHandler(consumer_token, consumer_secret)
auth.set_access_token(key, secret)
api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True, retry_count=3, retry_delay=60,
retry_errors=set([50... | 2.71875 | 3 |
user.py | kevin3708/PythonIP1 | 0 | 24418 | <filename>user.py
class User:
"""
Class that generates new instances of users.
"""
user_list = []
def __init__(self,tUsername,iUsername,email,sUsername):
self.tUsername=tUsername
self.iUsername=iUsername
self.email=email
self.sUsername=sUsername
def save_user... | 3.640625 | 4 |
tf_DDPG.py | laket/DDPG_Eager | 2 | 24419 | # Copyright 2018 <NAME>. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 2.671875 | 3 |
apps/restaccount/resources.py | solatis/microservices | 38 | 24420 | import json
import falcon
import time
import uuid
import requests
from apps.database import init_db, db_session
from apps.models import Account
from apps.restaccount.logging import logging
logger = logging.getLogger(__name__)
from decouple import config
ES_HOST = config('EVENTSTORE_HOST', default='eventstore')
ES_PO... | 2.09375 | 2 |
mmselfsup/models/algorithms/cae.py | mitming/mmselfsup | 355 | 24421 | <reponame>mitming/mmselfsup
# Copyright (c) OpenMMLab. All rights reserved.
from typing import Sequence
import torch
from torchvision.transforms import Normalize
from ..builder import ALGORITHMS, build_backbone, build_head, build_neck
from .base import BaseModel
@ALGORITHMS.register_module()
class CAE(BaseModel):
... | 2.15625 | 2 |
plncpro/predstoseq.py | nicolasDelhomme/PLncPRO | 5 | 24422 | <gh_stars>1-10
'''
PLNCPRO
This file takes as input
and it extracts dasta seq by label after reading prediction file
Author : <NAME>
email: <EMAIL>
UrMi 3/5/16
'''
import sys
import getopt
#import math
#import re
from Bio import SeqIO
from Bio.Seq import Seq
def main(args = sys.argv,home=None):
#set defaults
cutoff... | 2.671875 | 3 |
KnowledgeQuizTool/SummitMeeting/TitleBaidu.py | JianmingXia/StudyTest | 0 | 24423 | # -*- coding: utf-8 -*-
# @Author : Skye
# @Time : 2018/1/8 20:38
# @desc : python 3 , 答题闯关辅助，截屏 ，OCR 识别，百度搜索
import io
import urllib.parse
import webbrowser
import requests
import base64
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import os
def pull_screenshot():
os.system('a... | 2.578125 | 3 |
tools/tianchi_xray/mixup_test.py | vivym/maskrcnn-benchmark | 0 | 24424 | <reponame>vivym/maskrcnn-benchmark
import os
import random
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
def main():
names = list(os.listdir('datasets/tianchi_xray/restricted/'))
img1 = Image.open(os.path.join('datasets/tianchi_xray/restricted', names[random.randint(0, len(names))])... | 2.171875 | 2 |
mockito_util/write_readme.py | edgeware/mockito-python | 4 | 24425 | from __future__ import print_function
import os
import re
def openFile(f, m='r'):
if (os.path.exists(f)):
return open(f, m)
else:
return open('../' + f, m)
demo_test = ' '.join(openFile('mockito_test/demo_test.py').readlines())
demo_test = demo_test.split('#DELIMINATOR')[1]
readme_before = ''.join(... | 2.640625 | 3 |
pyperformance/run.py | brandtbucher/pyperformance | 255 | 24426 | <reponame>brandtbucher/pyperformance<gh_stars>100-1000
from collections import namedtuple
import hashlib
import sys
import time
import traceback
import pyperformance
from . import _utils, _python, _pythoninfo
from .venv import VenvForBenchmarks, REQUIREMENTS_FILE
from . import _venv
class BenchmarkException(Exceptio... | 2.03125 | 2 |
src/mqc/qc_filters.py | stephenkraemer/bistro | 1 | 24427 | """MotifPileupProcessors for QC filtering"""
# TODO: combine PhredFilter and MapqFilter to avoid cost for double
# iteration
from mqc.visitors import Visitor
from mqc.pileup.pileup import MotifPileup
import mqc.flag_and_index_values as mfl
qflag = mfl.qc_fail_flags
mflag = mfl.methylation_status_flags
from typing ... | 2.3125 | 2 |
akilib/raspberrypi/AKI_I2C_LPS25H.py | nonNoise/akilib | 29 | 24428 | <filename>akilib/raspberrypi/AKI_I2C_LPS25H.py
#import mraa
import smbus
import time
I2C_ADDR = 0x5C
class AKI_I2C_LPS25H:
def __init__(self):
print "AKI_I2C_LPS25H"
self.i2c = smbus.SMBus(1)
def i2cReg(self,wr,addr=0x00,data=0x00):
try:
if(wr == "w"):
retu... | 2.71875 | 3 |
figure/Figure2C_general_size_effect.py | YuanxiaoGao/Evolution_of_reproductive_strategies_in_incipient_multicellularity | 0 | 24429 | <gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 27 09:58:57 2020
@author: gao
"""
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import colors
from mpl_toolkits.axes_grid1 import AxesGrid
import matplotlib as mpl
import os
from matplotlib.colors import LinearSegme... | 2.15625 | 2 |
lib/jnpr/eznc/facts/swver.py | cro/py-junos-eznc | 0 | 24430 | <reponame>cro/py-junos-eznc<gh_stars>0
import re
class version_info(object):
def __init__(self, verstr ):
"""verstr - version string"""
m1 = re.match('(.*)([RBIXS])(.*)', verstr)
self.type = m1.group(2)
self.major = tuple(map(int,m1.group(1).split('.'))) # creates tuyple
after_type = m1.group(3... | 2.203125 | 2 |
modules.py | callistachang/CycleGAN-Music-Transfer | 0 | 24431 | <reponame>callistachang/CycleGAN-Music-Transfer<gh_stars>0
import numpy as np
import tensorflow as tf
from tensorflow.keras import Model, layers, Input
from collections import namedtuple
def abs_criterion(pred, target):
return tf.reduce_mean(tf.abs(pred - target))
def mae_criterion(pred, target):
return tf.... | 2.203125 | 2 |
app.py | chaipi-chaya/Boston-Crime-Analysis | 2 | 24432 | from flask import Flask
from flask import render_template
from flask import request,session, redirect, url_for, escape,send_from_directory
import requests
import json
app = Flask(__name__, static_url_path='')
def predictor(tavg, model, degree):
if degree == 3:
y = model['coef'][0][3]*(tavg**3) + \
... | 2.875 | 3 |
ghostIm/oneBitGen.py | acyanbird/flappyGhost | 2 | 24433 | <reponame>acyanbird/flappyGhost<filename>ghostIm/oneBitGen.py
from PIL import Image
def img2coe(name):
img = Image.open(name)
img = img.convert("1")
width, height = img.size
output_file = name.split('.')[0] + ".coe"
f = open(output_file, "w")
# using the 16, so change radix to 16, can be 2(... | 3.015625 | 3 |
cursoEmVideo/Python/Mundo 2/Exercicios/Ex067.py | VictorDG00/Cursos | 2 | 24434 | # faça um programa que mostre a tabuada de varios numeros
# um de cada vez, para cada valor digitado
# o programa sera interrompido quando for solicityado um numero negativo
while True:
multiplicado = int(input('Digite um numero para ver sua tabuada: '))
for tab in range(1, 11):
print(f'{multiplicado}x... | 4.0625 | 4 |
events/migrations/0002_auto_20210501_1442.py | seanyoung247/TWCoulsdon | 1 | 24435 | # Generated by Django 3.2 on 2021-05-01 14:42
from django.db import migrations, models
import easy_thumbnails.fields
import embed_video.fields
class Migration(migrations.Migration):
dependencies = [
('events', '0001_initial'),
]
operations = [
migrations.AddField(
model_name... | 1.640625 | 2 |
python/utils.py | JonathanAMichaels/NeuropixelsRegistration | 0 | 24436 | import numpy as np
from scipy.io import loadmat
import os
import logging
from scipy.signal import butter, filtfilt
def mat2npy(mat_chanmap_dir):
mat_chanmap = loadmat(mat_chanmap_dir)
x = mat_chanmap['xcoords']
y = mat_chanmap['ycoords']
npy_chanmap = np.hstack([x,y])
#np.save('chanmap.npy', n... | 2.5 | 2 |
fairseq/models/wav2vec/wav2vec2_cif_bert.py | eastonYi/fairseq | 0 | 24437 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import contextlib
import torch
import torch.nn.functional as F
from typing import List, Tuple, Dict, Optional
from transformers imp... | 1.8125 | 2 |
2/src/3_2D_ritter.py | dsanmartin/IPM468-PJ | 0 | 24438 | <reponame>dsanmartin/IPM468-PJ<gh_stars>0
import pathlib
import numpy as np
from dambreak import Experiment2D
from plot import plot2D, plot3D, quiver
#%% Initial condition
def h0_(x, y, x0, y0, h0):
H = np.zeros_like(x)
idx = np.array((x <= x0) & (y <= y0))
H[idx] = h0
return H
#%%Parameters
h_0 = 40
x0 = 100... | 1.8125 | 2 |
realsense/manual/cluster.py | mrzhuzhe/yunru | 0 | 24439 | <reponame>mrzhuzhe/yunru<filename>realsense/manual/cluster.py
# 聚类
# 需要移除远处点
import open3d as o3d
import numpy as np
import matplotlib.pyplot as plt
sourcePath="./zz_test_panda/scene/integrated.ply"
tatgetPath="./zz_test_panda/scene/cropped_1.ply"
# 加载点云
print("Load a ply point cloud, print it, and render it")
pcd =... | 2.25 | 2 |
functionalities.py | Dilkovak/Naggy-Bot | 0 | 24440 | <reponame>Dilkovak/Naggy-Bot
import random
def coinflip():
# print(random.random())
return random.random() | 2.234375 | 2 |
class2/demo3.py | sanderslhc/python-learing | 1 | 24441 | <reponame>sanderslhc/python-learing<gh_stars>1-10
#多分支结构
score=int(input('请输入成绩'))
#判断
if score>=90 and score<=100:
print('A')
elif score>=80 and score<=89:
print('B')
elif score>=70 and score<=79:
print('C')
elif score>=60 and score<=69:
print('D')
elif score>=0 and score<=59:
print('E'... | 3.609375 | 4 |
lib/sdf/sdf_optimizer.py | phschoepf/PoseCNN-PyTorch | 85 | 24442 | # Copyright (c) 2020 NVIDIA Corporation. All rights reserved.
# This work is licensed under the NVIDIA Source Code License - Non-commercial. Full
# text can be found in LICENSE.md
import sys
import cv2
import time
from .sdf_utils import *
import _init_paths
from fcn.config import cfg
from layers.sdf_matching_loss impo... | 1.960938 | 2 |
src/game_elements/Map.py | crazyStewie/ProjetoJojinho | 0 | 24443 | from pymunk.vec2d import Vec2d
from src.utils import AngleHelper
import pymunk
class Map:
def __init__(self):
self.crossings = []
self.streets = []
self.STREET_WIDTH = 50
self.SIDEWALK_WIDTH = 60
self.sidewalk_crossings = []
self.sidewalks = []
self.distance... | 2.515625 | 3 |
custom_components/magic_lights/setup_tasks/create_living_space.py | justanotherariel/hass_MagicLights | 0 | 24444 | <filename>custom_components/magic_lights/setup_tasks/create_living_space.py
from __future__ import annotations
import asyncio
import logging
from custom_components.magic_lights.setup_tasks.task import SetupTask
from custom_components.magic_lights.helpers.service_call import create_async_call
from typing import Dict, T... | 1.898438 | 2 |
layouts/landing_page.py | nikitcha/ceebios-biowser | 0 | 24445 | <gh_stars>0
import dash_html_components as html
import dash
app = dash.Dash(__name__)
style_div = {'display': 'flex','flex-wrap': 'wrap', 'padding':'20px'}
style_text = {'width': '500px', 'padding':'20px'}
div_octo = html.Div([
html.Div([html.Img(src=app.get_asset_url('planet1.jpg'), width="500px")]),
html.Di... | 2.859375 | 3 |
examples/network_diagram.py | community-fabric/python-ipfabric-diagrams | 1 | 24446 | <reponame>community-fabric/python-ipfabric-diagrams
"""
network_diagram.py
"""
from ipfabric_diagrams import IPFDiagram, Network, NetworkSettings, VALID_NET_PROTOCOLS, Layout
if __name__ == '__main__':
ipf = IPFDiagram()
net = Network(sites=['MPLS', 'LAB01'], all_network=True)
json_data = ipf.diagram_jso... | 2.21875 | 2 |
msteams/adaptivecard/containers/fact_set.py | HarshadRanganathan/pyteams | 6 | 24447 | <filename>msteams/adaptivecard/containers/fact_set.py
from msteams.adaptivecard.containers.layout import Layout
class FactSet(Layout):
"""
FactSet element displays a series of facts (i.e. name/value pairs) in a tabular form
"""
FACTS = 'facts'
def __init__(self, spacing=None, separator=None):
... | 3.1875 | 3 |
tests/functional/conftest.py | andreakropp/datarobot-user-models | 0 | 24448 | <reponame>andreakropp/datarobot-user-models
import os
import uuid
import warnings
import datarobot as dr
import pytest
from dr_usertool.datarobot_user_database import DataRobotUserDatabase
from dr_usertool.utils import get_permissions
from tests.drum.constants import TESTS_DATA_PATH, PUBLIC_DROPIN_ENVS_PATH
ENDPOINT... | 1.835938 | 2 |
test/units/modules/network/f5/test_bigip_policy.py | Container-Projects/ansible-provider-docs | 37 | 24449 | <reponame>Container-Projects/ansible-provider-docs<gh_stars>10-100
# -*- coding: utf-8 -*-
#
# Copyright (c) 2017 F5 Networks Inc.
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import ... | 1.632813 | 2 |
experiments/spooky-mouse.py | Nithanaroy/invisible-pen | 0 | 24450 | import pyautogui
pyautogui.moveTo(2317, 425, duration=1)
| 1.289063 | 1 |
__main__.py | wwakabobik/openweather_pws | 0 | 24451 | <filename>__main__.py<gh_stars>0
from openweather_pws import Station, Measurements
| 1.039063 | 1 |
main.py | JakeSichley/Discord-Bot | 1 | 24452 | <filename>main.py
"""
MIT License
Copyright (c) 2021 <NAME>
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, merg... | 2.03125 | 2 |
tests/test_lighting.py | HighCWu/neural-renderer-paddle | 14 | 24453 | import unittest
import paddle
import neural_renderer_paddle as nr
class TestLighting(unittest.TestCase):
def test_case1(self):
"""Test whether it is executable."""
faces = paddle.randn([64, 16, 3, 3], dtype=paddle.float32)
textures = paddle.randn([64, 16, 8, 8, 8, 3], dtype=paddle.fl... | 2.75 | 3 |
InterpretationTechniques/featureExamination/iceForPredictor.py | HelenaMaria112/PredictionInterpreter | 1 | 24454 | <gh_stars>1-10
'''
Created on 04.10.2019
@author: areb
'''
import pycebox.ice as pIce
from Connections.predictor import *
import matplotlib.pyplot as plt
from InterpretationTechniques.PlotAndShow import *
# https://github.com/AustinRochford/PyCEbox/blob/master/pycebox/ice.py
def plotIce(data, pr):
'''
:param ... | 2.5625 | 3 |
src/ch3/generatefeedvector.py | amolnayak311/Programming-Collective-Intelligence | 0 | 24455 | '''
Created on Sep 4, 2015
@author: Amol
'''
from feedparser import parse
import re
from itertools import groupby
#Remove HTML and get the remaining words
def getwords(html):
txt = re.compile(r'<[^>]+>').sub('', html)
words = re.compile(r'[^A-Z^a-z]+').split(txt)
return [word.lower() for word in words if... | 2.515625 | 3 |
examples/withRaycing/01_SynchrotronSources/U32TaperedScan.py | adinatan/xrt | 0 | 24456 | <reponame>adinatan/xrt<filename>examples/withRaycing/01_SynchrotronSources/U32TaperedScan.py<gh_stars>0
# -*- coding: utf-8 -*-
__author__ = "<NAME>"
__date__ = "08 Mar 2016"
#import pickle
import numpy as np
#import matplotlib.pyplot as plt
import os, sys; sys.path.append(os.path.join('..', '..', '..')) # analysis:... | 1.84375 | 2 |
Python_10_Plot_Bokeh_Candlestick.py | rogerolowski/SimpleStockAnalysisPython | 195 | 24457 | <reponame>rogerolowski/SimpleStockAnalysisPython
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 27 08:09:11 2020
@author: Tin
"""
# Plot Candlestick in bokeh
import pandas as pd # Dataframe Library
from math import pi
from bokeh.plotting import figure, show, output_file
pd.set_option('max_columns', None) #... | 2.96875 | 3 |
elephant.py | polewskm/lvl1-elephant | 0 | 24458 | <filename>elephant.py<gh_stars>0
#
# elephant.py
#
from threading import Thread
from adafruit_servokit import ServoKit
from gpiozero import LED,Button,Servo
import time
import random
import board
import neopixel
import subprocess
import os.path
print("Initializing...")
# pin definitions
PIN_LEFT_EYE = 17
PIN_LEFT_BR... | 2.921875 | 3 |
0.17/_downloads/8c453dbbabf4b225611c41642ea9b1d5/plot_morph_stc.py | drammock/mne-tools.github.io | 0 | 24459 | # -*- coding: utf-8 -*-
r"""
================================================================
Morphing source estimates: Moving data from one brain to another
================================================================
Morphing refers to the operation of transferring
:ref:`source estimates <sphx_glr_auto_tutorial... | 2.546875 | 3 |
jasper.py | ramosmy/acoustic_model | 6 | 24460 | """
Citing from jasper from Nvidia
"""
import torch
import torch.nn as nn
import torch.functional as F
class SubBlock(nn.Module):
def __init__(self, dropout):
super(SubBlock, self).__init__()
self.conv = nn.Conv1d(in_channels=256, out_channels=256,
kernel_size=11... | 2.859375 | 3 |
charts/create_datasets.py | Smelly-London/datavisualisation | 1 | 24461 | import pandas as pd
# Load the original csv
df = pd.read_csv('data/carto.csv')
# Group by name of borough
# The output is a list of tuples with ('name of borough', dataframe of that borough)
grouped = list(df.groupby('location_name'))
for x in grouped:
# Get the name of the borough
name_of_borough = x[0]
... | 3.59375 | 4 |
pm4pymdl/algo/mvp/gen_framework/rel_activities/__init__.py | dorian1000/pm4py-mdl | 5 | 24462 | <gh_stars>1-10
from pm4pymdl.algo.mvp.gen_framework.rel_activities import classic, rel_activities_builder
| 1.078125 | 1 |
batched_flattened_indices_pseudo_random_permutation.py | eladn/tensors_data_class | 0 | 24463 | <filename>batched_flattened_indices_pseudo_random_permutation.py<gh_stars>0
import torch
import hashlib
import dataclasses
import numpy as np
from typing import List, Tuple, final
from .misc import collate_tensors_with_variable_shapes, CollateData, inverse_permutation
from .tensors_data_class_base import TensorsDataCl... | 2.109375 | 2 |
legacy/zero_training.py | GabrielePicco/pytorch-lightning | 4 | 24464 | # Copyright The PyTorch Lightning team.
#
# 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 i... | 2.546875 | 3 |
lab02/lab02/operaciones/views.py | josepilco7501/TECSUP-DAE-2021-2 | 0 | 24465 | from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
def calculadora(request):
context = {
'titulo' : "Ingrese los numeros",
}
return render(request,'operaciones/formulario.html',context)
def resultado(request):
a=request.POST['numeroa']
b=req... | 2.4375 | 2 |
sim/turn.py | adacker10/showdown | 8 | 24466 | <filename>sim/turn.py
'''
<NAME>
turn.py
This file is entirely devoted to the do_turn(Battle) method.
One call of do_turn does all the logic for a single turn.
Functions defined in this file are:
* functions are are only called in the do_turn method.
Functions called by run_move are called only once per run_move... | 3.515625 | 4 |
opencamlib-read-only/scripts/voronoi/voronoi_bisectors.py | play113/swer | 0 | 24467 | <filename>opencamlib-read-only/scripts/voronoi/voronoi_bisectors.py<gh_stars>0
import ocl
import camvtk
import time
import vtk
import datetime
import math
import random
def drawVertex(myscreen, p, vertexColor, rad=1):
myscreen.addActor( camvtk.Sphere( center=(p.x,p.y,p.z), radius=rad, color=vertexColor ) )
def d... | 2.59375 | 3 |
wheel5/scheduler.py | xdralex/pytorch-wheel5 | 2 | 24468 | from torch.optim.lr_scheduler import _LRScheduler
class WarmupScheduler(_LRScheduler):
def __init__(self, optimizer, epochs, next_scheduler):
self.epochs = epochs
self.next_scheduler = next_scheduler
super(WarmupScheduler, self).__init__(optimizer)
def get_lr(self):
if self.la... | 2.390625 | 2 |
analysis/dbase/tracking/train.py | BrancoLab/FC_analysis | 1 | 24469 | import deeplabcut as dlc
import os
from fcutils.file_io.utils import listdir
# from fcutils.video.utils import trim_clip
config_file = 'D:\\Dropbox (UCL - SWC)\\Rotation_vte\\Locomotion\\dlc\\locomotion-Federico\\config.yaml'
dlc.train_network(config_file)
# fld = 'D:\\Dropbox (UCL - SWC)\\Rotation_vte\\Locomotion... | 1.882813 | 2 |
rmApp.py | LREN-CHUV/mip-apps-manager | 0 | 24470 | <gh_stars>0
#!/usr/bin/env python
import argparse, shutil, os, sys
def getArgs():
parser = argparse.ArgumentParser()
parser.add_argument('app', help='Application identifier (used by the app developer)')
parser.add_argument('mipDir', help='Directory containing the mip application (<path>/app/)')
return parser.par... | 2.921875 | 3 |
setup.py | aparafita/flow-torch | 22 | 24471 | <filename>setup.py
#!/usr/bin/env python
from setuptools import setup
version = '0.1.2'
long_description = """
# flow
This project implements basic Normalizing Flows in PyTorch
and provides functionality for defining your own easily,
following the conditioner-transformer architecture.
This is specially useful fo... | 2.1875 | 2 |
app/routes/__init__.py | Poketnans/capstone-q3 | 0 | 24472 | from flask import Flask
from .storage_blueprint import bp_storage
from .tattooists_blueprint import bp_tattooists
from .tattoos_blueprint import bp_tattoos
from .clients_blueprint import bp_clients
def init_app(app: Flask) -> None:
''' Registra as blueprints '''
app.register_blueprint(bp_storage)
app.re... | 1.679688 | 2 |
PDF-Tools/makepdf/make-pdf-helloworld.py | maysam-h/pdf-toolz | 0 | 24473 | #20080518
#20080519
import mPDF
import time
import zlib
import sys
if len(sys.argv) != 2:
print "Usage: make-pdf-helloworld pdf-file"
print " "
print " Source code put in the public domain by <NAME>, no Copyright"
print " Use at your own risk"
print " https://DidierStevens.com"
... | 2.65625 | 3 |
tests/test_adapters.py | bernt-matthias/cutadapt | 0 | 24474 | import pytest
from dnaio import Sequence
from cutadapt.adapters import Adapter, Match, Where, LinkedAdapter
def test_issue_52():
adapter = Adapter(
sequence='GAACTCCAGTCACNNNNN',
where=Where.BACK,
remove='suffix',
max_error_rate=0.12,
min_overlap=5,
read_wildcards=... | 2.265625 | 2 |
oaff/app/oaff/app/data/sources/common/provider.py | JBurkinshaw/ogc-api-fast-features | 19 | 24475 | from typing import List, Optional
from pydantic import BaseModel
class Provider(BaseModel):
url: str
name: str
roles: Optional[List[str]] = None
| 2.203125 | 2 |
hackerrank/Data Structures/Super Maximum Cost Queries/solution.py | ATrain951/01.python-com_Qproject | 4 | 24476 | #!/bin/python3
import os
#
# Complete the 'solve' function below.
#
# The function is expected to return an INTEGER_ARRAY.
# The function accepts following parameters:
# 1. 2D_INTEGER_ARRAY tree
# 2. 2D_INTEGER_ARRAY queries
#
def solve(tree, queries):
# Write your code here
from bisect import bisect_righ... | 3.34375 | 3 |
tests/test.py | bitlang/kabob | 0 | 24477 | <filename>tests/test.py
from unittest import TestCase
from kabob import _
class KabobTestCase(TestCase):
def _T(self, obj, kbb):
from kabob.wand import Kabob
self.assertIsInstance(kbb, Kabob)
return [x for x in kbb(obj)]
class TestKabob(KabobTestCase):
def test_contains(self):
... | 3.015625 | 3 |
flatbuffers/internal/run_flatc.bzl | kgreenek/rules_flatbuffers | 2 | 24478 | load("//flatbuffers/internal:string_utils.bzl", "capitalize_first_char")
def _include_args_from_depset(includes_depset):
# Always include the workspace root.
include_args = ["-I", "."]
for include in includes_depset.to_list():
include_args.append("-I")
include_args.append(include)
retur... | 1.960938 | 2 |
src/search_name.py | MansurS404/MS403 | 1 | 24479 | #!usr/bin/python2.7
# coding=utf-8
#######################################################
# Name : Multi BF (MBF) <cookie method> #
# File : search_name.py #
# Author : DulLah #
# Github : https://github.com/dz-id #
# Fa... | 2.5 | 2 |
vistrails/gui/modules/constant_configuration.py | remram44/VisTrails-mybinder | 83 | 24480 | ###############################################################################
##
## Copyright (C) 2014-2016, New York University.
## Copyright (C) 2011-2014, NYU-Poly.
## Copyright (C) 2006-2011, University of Utah.
## All rights reserved.
## Contact: <EMAIL>
##
## This file is part of VisTrails.
##
## "Redistributio... | 0.972656 | 1 |
setup.py | davidrpugh/solowPy | 31 | 24481 | <reponame>davidrpugh/solowPy
import os
from distutils.core import setup
def read(*paths):
"""Build a file path from *paths* and return the contents."""
with open(os.path.join(*paths), 'r') as f:
return f.read()
DESCRIPTION = ("Library for solving, simulating, and estimating the " +
"S... | 2.40625 | 2 |
seaport/pull_request/portfile.py | fossabot/seaport | 0 | 24482 | <filename>seaport/pull_request/portfile.py<gh_stars>0
#!/usr/bin/env python3
# Copyright (c) 2021, harens
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# * Redistributions of source cod... | 1.914063 | 2 |
CRYSTAL/crystal_raman.py | permanentchange/raman-sc | 1 | 24483 | <reponame>permanentchange/raman-sc
#!/usr/bin/env python
#
# Raman off-resonant activity calculator
# using CRYSTAL as a back-end.
#
# Contributors: <NAME> (Georgia Tech)
# MIT license, 2013
#
#
def parse_fort34_header(fort34_fh):
import sys
from math import sqrt
#
fort34_fh.seek(0) # just in case
#... | 2.234375 | 2 |
src/eval/novel_bigrams.py | HenryDashwood/sentence-planner | 3 | 24484 | #
# Copyright (c) 2021 Idiap Research Institute, https://www.idiap.ch/
# Written by <NAME> <<EMAIL>>
#
""" Computes the proportion of novel bigrams in the summary. """
import numpy as np
import pandas as pd
from interface import Evaluation
from eval_utils import preprocess_article, preprocess_summary
class NovelBi... | 2.984375 | 3 |
examples/caget.py | delta-accelerator/channel_access.client | 0 | 24485 | import argparse
import channel_access.common as ca
import channel_access.client as cac
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Read process values')
parser.add_argument('pvs', metavar='PV', type=str, nargs='+',
help='list of process values')
args ... | 2.578125 | 3 |
utils/hamiltonian.py | fhoeb/fh-thesis-scripts | 2 | 24486 | from scipy.special import factorial
from itertools import count
import numpy as np
from tmps.utils import pauli, fock
def get_boson_boson_dim(alpha, cutoff_coh):
"""
Find the cutoff for the local dimension (identical everywhere) from the chosen accuracy alpha for the impurity
coherent state.
"... | 2.46875 | 2 |
zpgc_2016/include/logbook.py | mpatacchiola/naogui | 2 | 24487 | #!/usr/bin/env python
import os
import time
class Logbook(object):
def __init__(self):
"""
Class initialization
"""
self._id = time.strftime("%d%m%Y_%H%M%S", time.gmtime()) #id of the log, it's the timestamp
self._trial = 0
self._pinv = 0.0
self._rinv = 0.0... | 3.140625 | 3 |
src/experimental_results/outdoor test/path_planning_analysis.py | NASLab/GroundROS | 1 | 24488 | <reponame>NASLab/GroundROS<gh_stars>1-10
# python experimental tests for Husky
from numpy import sin, cos, pi, load
import matplotlib.pyplot as plt
from time import sleep
yaw_bound = 2 * pi / 180
yaw_calibrate = pi / 180 * (0)
x_offset_calibrate = 0
y_offset_calibrate = -.08
f0 = plt.figure()
ax0 = f0.add_subplot(1... | 2.484375 | 2 |
source/study/score.py | mverleg/WW | 0 | 24489 | from sys import stderr
from study.models import Result, ActiveTranslation
def update_score(learner, result, verified=False):
"""
Update the score after a phrase has been judged.
:param result: Result.CORRECT, Result.CLOSE or Result.INCORRECT
:return: Result instance
"""
if result == Result.CORRECT:
base =... | 2.5625 | 3 |
titan/react_pkg/prettier/__init__.py | mnieber/moonleap | 0 | 24490 | <gh_stars>0
from pathlib import Path
from moonleap import add, create
from titan.project_pkg.service import Tool
from titan.react_pkg.nodepackage import load_node_package_config
class Prettier(Tool):
pass
base_tags = [("prettier", ["tool"])]
@create("prettier")
def create_prettier(term, block):
prettier ... | 2.140625 | 2 |
docs/make_readme.py | thombashi/tabledata | 4 | 24491 | #!/usr/bin/env python
"""
.. codeauthor:: <NAME> <<EMAIL>>
"""
import sys
from readmemaker import ReadmeMaker
PROJECT_NAME = "tabledata"
OUTPUT_DIR = ".."
def main():
maker = ReadmeMaker(
PROJECT_NAME,
OUTPUT_DIR,
is_make_toc=True,
project_url=f"https://github.com/thombashi/{P... | 2.421875 | 2 |
expired_cert_finder/scanner.py | alphagov/expired-cert-finder | 1 | 24492 | #! /usr/bin/env python
from expired_cert_finder.plugins.raw import RawParser
from expired_cert_finder.plugins.yaml import YamlParser
from expired_cert_finder.allowed_certs import AllowedCerts
rawParser = RawParser
yamlParser = YamlParser
# handle dynamic loading.
def scan_file_for_certificate(path, expired_only, d... | 2.984375 | 3 |
pywi/processing/__init__.py | jeremiedecock/mrif | 1 | 24493 | """Processing modules
This package contains image processing algorithms.
"""
from . import compositing
from . import filtering
from . import transform
| 1.1875 | 1 |
atlas/foundations_contrib/src/test/test_lazy_bucket.py | DeepLearnI/atlas | 296 | 24494 |
import unittest
from mock import Mock
from foundations_spec.helpers.spec import Spec
from foundations_spec.helpers import let, let_mock, set_up
class TestLazyBucket(Spec):
@let
def lazy_bucket(self):
from foundations_contrib.lazy_bucket import LazyBucket
return LazyBucket(self.bucket_constru... | 2.625 | 3 |
Hw/H3_CNN/model.py | zhigangjiang/DLAndML-Experiment | 2 | 24495 | <filename>Hw/H3_CNN/model.py<gh_stars>1-10
from abc import ABC
import torch.nn as nn
class CNN5(nn.Module, ABC):
def __init__(self):
super(CNN5, self).__init__()
# torch.nn.Conv2d(in_channels, out_channels, kernel_size, stride, padding)
# torch.nn.MaxPool2d(kernel_size, stride, padding)
... | 2.640625 | 3 |
calvestbr/__init__.py | IsaacHiguchi/calvestbr | 0 | 24496 | """Top-level package for Calendário dos Vestibulares do Brasil."""
__author__ = """Ana_Isaac_Marina"""
__email__ = '<EMAIL>'
__version__ = '0.0.1'
| 0.871094 | 1 |
controllers/utils_faq.py | haoyuchen1992/CourseBuilder | 0 | 24497 | from utils import BaseHandler
class FaqHandler(BaseHandler):
"""Handler for FAQ page."""
def get(self):
"""Handler GET requests."""
# print "Get current get_user"
# print self.get_user()
# if not self.get_user():
# self.transient_student = True
#This if statement will let the non-student un... | 2.71875 | 3 |
tests/knowledge/rules/aws/context_aware/test_ec2_role_share_rule.py | my-devops-info/cloudrail-knowledge | 0 | 24498 | <reponame>my-devops-info/cloudrail-knowledge
import unittest
from cloudrail.knowledge.context.aws.aws_connection import PublicConnectionDetail, PolicyConnectionProperty, ConnectionDirectionType
from cloudrail.knowledge.context.aws.ec2.ec2_instance import Ec2Instance
from cloudrail.knowledge.context.aws.ec2.network_int... | 2.0625 | 2 |
python/setup.py | rpiotrow/lolo | 34 | 24499 | <reponame>rpiotrow/lolo
from setuptools import setup
from glob import glob
import shutil
import sys
import os
# single source of truth for package version
version_ns = {}
with open(os.path.join("lolopy", "version.py")) as f:
exec(f.read(), version_ns)
version = version_ns['__version__']
# Find the lolo jar
JAR_FI... | 1.960938 | 2 |