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 |
|---|---|---|---|---|---|---|
nihars.com/server.py | niharokz/website_archive | 0 | 12796351 | <reponame>niharokz/website_archive
#!/bin/python
#
# ███╗░░██╗██╗██╗░░██╗░█████╗░██████╗░░█████╗░██╗░░██╗███████╗
# ████╗░██║██║██║░░██║██╔══██╗██╔══██╗██╔══██╗██║░██╔╝╚════██║
# ██╔██╗██║██║███████║███████║██████╔╝██║░░██║█████═╝░░░███╔═╝
# ██║╚████║██║██╔══██║██╔══██║██╔══██╗██║░░██║██╔═██╗░█... | 2.546875 | 3 |
catkin_ws/src/aruco_intercept/src/grab_object.py | filesmuggler/ur3e-ird435-rg2 | 1 | 12796352 | #!/usr/bin/env python
import sys
import copy
import rospy
import moveit_commander
import moveit_msgs.msg
import geometry_msgs.msg
from math import pi
from std_msgs.msg import String
from moveit_commander.conversions import pose_to_list
import tf
def all_close(goal, actual, tolerance):
"""
Convenience method... | 2.75 | 3 |
LLDBagility/lldbagility.py | killvxk/LLDBagility | 1 | 12796353 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
from __future__ import print_function
import argparse
import functools
import re
import shlex
import threading
import time
import traceback
import kdpserver
import lldb
import lldbagilityutils
import stubvm
vm = None
def _exec_cmd(debugger, command, capture_output=Fal... | 2.203125 | 2 |
pytglib/api/functions/write_generated_file_part.py | iTeam-co/pytglib | 6 | 12796354 |
from ..utils import Object
class WriteGeneratedFilePart(Object):
"""
Writes a part of a generated file. This method is intended to be used only if the client has no direct access to TDLib's file system, because it is usually slower than a direct write to the destination file
Attributes:
ID (:ob... | 3.140625 | 3 |
Month 03/Week 04/Day 03/c.py | KevinKnott/Coding-Review | 0 | 12796355 | <filename>Month 03/Week 04/Day 03/c.py
# Merge k Sorted Lists: https://leetcode.com/problems/merge-k-sorted-lists/
# You are given an array of k linked-lists lists, each linked-list is sorted in ascending order.
# Merge all the linked-lists into one sorted linked-list and return it.
from types import List, Optional
... | 3.828125 | 4 |
pset6/crack.py | holodon/CS50 | 0 | 12796356 | <reponame>holodon/CS50
##
# Cracks up to 4 letter alphabetical passwords by bruteforce
##
import sys
import crypt
import itertools
def main():
# check if called with exactly one argument
if len(sys.argv) != 2:
show_usage()
exit(1)
# all possible characters
aA = "abcdefghijklmnopqrst... | 3.03125 | 3 |
awards/signals.py | Sundaybrian/prodev | 0 | 12796357 | #signal fired after an obj is saved in this cas when a user is created
from django.db.models.signals import post_save
#post to sende the signal
from .models import Post
#reciever of the signal
from django.dispatch import receiver
from .models import Review
@receiver(post_save,sender=Post)
def create_review(sender,i... | 2.5 | 2 |
sparse_matrices/sparse_gauss.py | j-adamczyk/Matrix_algorithms | 1 | 12796358 | <gh_stars>1-10
from copy import deepcopy
from typing import Union
import numpy as np
from .sparse_matrices import CoordinateSparseMatrix, CSRMatrix
def sparse_gauss_elimination_row(A: Union[CoordinateSparseMatrix, CSRMatrix]) \
-> Union[CoordinateSparseMatrix, CSRMatrix]:
"""
Performs Gaussian elimi... | 2.625 | 3 |
setup.py | kim-younghan/MultiResUNet | 23 | 12796359 | from setuptools import setup, find_packages
setup(
name = 'multiresunet',
version = '0.1',
description = 'MultiResUNet implementation in PyTorch; MultiResUNet: Rethinking the U-Net Architecture for Multimodal',
author = '<NAME>',
author_email = '<EMAIL>',
inst... | 1.195313 | 1 |
generate.py | chteuchteu/Material-Colors-SCSS-Variables | 0 | 12796360 | <reponame>chteuchteu/Material-Colors-SCSS-Variables
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import urllib.request
from bs4 import BeautifulSoup
import re
material_guidelines_url = 'http://www.google.com/design/spec/style/color.html#color-color-palette'
output_file = 'dist/_material-colors.scss'
foreground_color_l... | 2.75 | 3 |
buy_stuff.py | learning-python/testing | 0 | 12796361 | <filename>buy_stuff.py
import calc
class Pocket:
def __init__(self, settings):
self.money = settings['money']
self.apples = settings['apples']
self.price = settings['price']
def buy_apples(self, num_apples):
needed = calc.multiply(self.price, num_apples)
would_be_left =... | 3.640625 | 4 |
programming_lesson5/make_coin_sorter_version5.py | zhazhijibaba/zhazhijibaba_programming_lessons | 0 | 12796362 | <gh_stars>0
from vector import *
import openmesh as om
import numpy as np
# version3 slope 15 degree
theta = np.pi / 12.0
# https://en.wikipedia.org/wiki/Coins_of_the_Canadian_dollar
# create mesh for coin sorter
# Nickel 5 cents 21.2mm (1.76mm)
# Dime 10 cents 18.03mm (1.22mm)
# Quatoer 25 cents 23.88mm (1.58mm)
# Lo... | 2.3125 | 2 |
examples/image/plot_dataset_mtf.py | Pandinosaurus/pyts | 1,217 | 12796363 | """
====================================
Data set of Markov transition fields
====================================
A Markov transition field is an image obtained from a time series, representing
a field of transition probabilities for a discretized time series.
Different strategies can be used to bin time series.
It i... | 3.046875 | 3 |
vprocess/older/yolo_detection_face_reco.py | rezeck/itelicam | 0 | 12796364 | #!/usr/bin/env python3.5
import os
import dlib
import numpy as np
import cv2
import time
import darknet
from ctypes import *
import math
import random
class YOLO_NN:
def __init__(self, yoloDataFolder):
self.configPath = yoloDataFolder + "/cfg/yolov3-tiny.cfg"
self.weightPath = yoloDataFolder + "/... | 2.359375 | 2 |
color_guess.py | Software-Cat/Python-Graphics-Project | 0 | 12796365 | # import all the required python libaries: graphics and random
from graphics import *
import random
# create the graphics window and set background colour
win = GraphWin("Colour Guessing Game", 1000, 500)
win.setBackground('#232323')
# create a title for your game
titleBg = Rectangle(Point(0, 0), Point(1000, 135))
ti... | 3.875 | 4 |
utils/scripts/OOOlevelGen/src/levels/Release_The_Cheese.py | fullscreennl/monkeyswipe | 0 | 12796366 | <gh_stars>0
import LevelBuilder
from sprites import *
def render(name,bg):
lb = LevelBuilder.LevelBuilder(name+".plist",background=bg)
lb.addObject(Beam.BeamSprite(x=217, y=83,width=167,height=36,angle='90' ,restitution=0.2,static='false',friction=0.5,density=20 ))
lb.addObject(Wizard.WizardSprite(x=409,y=6... | 2.171875 | 2 |
example.py | papamoose/nvidia-ml-py | 0 | 12796367 | #!/usr/bin/python3
import nvidia_smi
import json
mydict = nvidia_smi.JsonDeviceQuery()
# Example print JSON
print(json.dumps(mydict, indent=2))
| 2.390625 | 2 |
utests/cfg_up.py | georgsp/mdmTerminal2 | 24 | 12796368 | <gh_stars>10-100
import json
import unittest
import run
from lib.tools import config_updater
def dummy(*_, **__):
pass
def new_updater():
return config_updater.ConfigUpdater(CFG(), dummy)
def CFG():
return run.get_cfg()
class ConfigUpdater(unittest.TestCase):
ADD_5 = {'ip_server': '', 'ip': 1, ... | 2.546875 | 3 |
Dirt.py | damianStrojek/Python-GameOfLife | 4 | 12796369 | <gh_stars>1-10
# OOP PG WETI PROJECT NR 2
# <NAME> s184407 2021 IT/CS
# @ Copyright 2021, <NAME>, All rights reserved.
import os, pygame
from Organism import Organism
class Dirt(Organism):
# Default block that makes our world
def __init__(self, _currentWorld, _positionX, _positionY):
super(Dir... | 2.9375 | 3 |
agora_analytica/analytics/dummy.py | Kyrmy/prototyyppi | 0 | 12796370 | <reponame>Kyrmy/prototyyppi<filename>agora_analytica/analytics/dummy.py
"""
Dummy module for generating fixed - or random - distances.
"""
from numpy.random import randint
from numpy import abs, int
import pandas as pd
def distance(source: pd.Series, target: pd.Series, answers: pd.DataFrame, answer_scale=5, answer_s... | 2.78125 | 3 |
nr_common/fs_utils/fs_utils.py | nitred/nr-common | 0 | 12796371 | <reponame>nitred/nr-common<gh_stars>0
"""Simple file system utils."""
import os
def makedirs(path, is_file, to_abs=False):
"""Make directory from path (filename or directory) if it doesn't already exist.
Args:
path (str): Absolute path of directory or filename.
is_file (bool): Whether the pat... | 3.671875 | 4 |
tony-setanddict.py | tonythott/tonnewcode | 0 | 12796372 | <filename>tony-setanddict.py
'''
#set is a container that stores a collection of unique values
#Union , intersection , substraction for sets
#Substruction means remove elements from intersection of a and b
list =[] #empty list
setN = {} #error
setN = set() #empty set
cast = {"tony","preetha","luke"}
if luke ... | 4.21875 | 4 |
moanna/model/Autoencoder.py | rlupat/moanna | 2 | 12796373 | <gh_stars>1-10
# Libraries
import torch
import torch.nn as nn
import numpy as np
import pandas as pd
from tensorboardX import SummaryWriter
import torch.nn.functional as F
import pdb
import seaborn as sns
import matplotlib.pyplot as plt
from livelossplot import PlotLosses
#Encoder
class LayerBlockEncode(nn.Module):
... | 2.53125 | 3 |
project/face_api_server/proxy/redis_function.py | 1step6thswmaestro/29 | 0 | 12796374 | import datetime
import json
import redis
redis_device_key = 'redis_device_key'
device_expire_second = 60
class RedisProxy(object):
def __init__(self, host='127.0.0.1', port=6379):
self.redis_pool = redis.ConnectionPool(host=host, port=port, db=0)
def connect(self):
return redis.Redis(connect... | 2.5 | 2 |
fungit/style/cursor.py | zlj-zz/pyzgit | 0 | 12796375 | <reponame>zlj-zz/pyzgit
class Cursor:
"""Class with collection of cursor movement functions: .t[o](line, column) | .r[ight](columns) | .l[eft](columns) | .u[p](lines) | .d[own](lines) | .save() | .restore()"""
@staticmethod
def to(line: int, col: int) -> str:
# * Move cursor to line, column
... | 3.109375 | 3 |
src/cors.py | danztensai/covid-19-api | 53 | 12796376 |
from flask_cors import CORS
cors = CORS(resources={r"/maskmap/*": {"origins": "*"}})
def init_app(app):
cors.init_app(app)
| 1.757813 | 2 |
day08.py | Yalfoosh/Advent-of-Code-2019 | 0 | 12796377 | import numpy as np
image_dimensions = (25, 6)
def load(image_dims, path: str = "input/08.txt"):
with open(path) as file:
return np.array([c for c in file.read()]).reshape((-1, image_dims[0] * image_dims[1]))
def number_of_values_in_layer(layer, value):
return np.count_nonzero(layer == value)
def ... | 3 | 3 |
Robotix/apps/miscellaneous/models.py | Robotix/rbtxportal | 0 | 12796378 | <filename>Robotix/apps/miscellaneous/models.py<gh_stars>0
from django.db import models
class Country(models.Model):
name = models.CharField(max_length=20)
class Meta:
verbose_name_plural = 'Countries'
def __str__(self):
return self.name
class State(models.Model):
name = models.C... | 2.484375 | 2 |
senet/keras_fn/se_resnet_test.py | AI-Huang/SENet | 1 | 12796379 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : Jan-02-21 20:43
# @Author : <NAME> (<EMAIL>)
import tensorflow as tf
from tensorflow.python.keras import keras_parameterized
from tensorflow.python.platform import test
from tensorflow.keras.utils import plot_model
from senet.keras_fn.se_resnet import SE_Re... | 2.578125 | 3 |
stage_data/main.py | shermanflan/clinical-data-architecture | 0 | 12796380 | """
Usage:
- From Spark 3.1.1 base container with Python bindings:
docker run --rm -it --name test_pyspark spark-ingest:latest /bin/bash
./bin/spark-submit spark-ingest/main.py --filepath ./examples/src/main/python/pi.py
- From binaries:
./pyspark --packages io.delta:delta-core_2.12:1.0.0 \
--conf "spark.sql.extens... | 1.765625 | 2 |
src/runner/views.py | OpenROAD-Cloud/flow-runner | 0 | 12796381 | from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from runner.tasks import start_flow_task
class RunnerStartFlow(APIView):
def post(self, request):
flow_uuid = request.POST.get('flow_uuid', None)
flow_repo_url = request.POST.get... | 2.15625 | 2 |
libp2p/network/connection/raw_connection.py | ChihChengLiang/py-libp2p | 0 | 12796382 | from .raw_connection_interface import IRawConnection
class RawConnection(IRawConnection):
def __init__(self, ip, port, reader, writer, initiator):
# pylint: disable=too-many-arguments
self.conn_ip = ip
self.conn_port = port
self.reader = reader
self.writer = writer
... | 2.9375 | 3 |
app.py | porcelainruler/Image-Search-Engine | 1 | 12796383 | <reponame>porcelainruler/Image-Search-Engine
import os
from flask import Flask, render_template, request, jsonify
import numpy as np
import cv2
from Searcher import Searcher
from ColorDescriptor import ColorDescriptor
app = Flask(__name__)
INDEX = os.path.join(os.path.dirname(__file__), 'index.csv')
cd = ColorDescrip... | 2.546875 | 3 |
sdk/python/pulumi_gcp/compute/get_default_service_account.py | 23doors/pulumi-gcp | 1 | 12796384 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class GetDef... | 1.960938 | 2 |
data_visualization/chp15_GeneratingData/plottingSquares.py | sergejsm/pythonCrashCourseProjects | 0 | 12796385 | <reponame>sergejsm/pythonCrashCourseProjects
import matplotlib.pyplot as plt
x_values = list(range(1, 1001))
y_values = [x**2 for x in x_values]
plt.title("Square Numbers", fontsize=24)
plt.xlabel("Value", fontsize=14)
plt.ylabel("Square of Value", fontsize=14)
# Set size of tick labels.
plt.tick_params(axis='both',... | 3.578125 | 4 |
power_sizing.py | ThyagoFRTS/power-eletric | 1 | 12796386 | import math
def calculate_power_luminance(ambient_area):
#area in m^2
potency = 0
if ambient_area <= 6:
print('Lighting Potency: '+ str(100) +' (VA)')
potency = 100
else:
print('extra potency: ' + str((ambient_area - 6)))
potency = 100 + 60 * int((ambient_area - 6)/4)
print('Lighting Poten... | 3.671875 | 4 |
lab3/index.py | xiong35/HUST-BigData | 0 | 12796387 | import pandas as pd
SUPPORT = 0.005
CONF = 0.5
def csv2list():
df = pd.read_csv("./实验三/数据/Groceries.csv")
itemsets = []
for itemset_str in df["items"]:
itemsets.append(set(itemset_str[1:-1].split(",")))
return itemsets
itemsets = csv2list()
itemsets_len = itemsets.__len__()
def build1d... | 3.171875 | 3 |
core/src/autogluon/core/searcher/bayesopt/tuning_algorithms/defaults.py | zhiqiangdon/autogluon | 4,462 | 12796388 | <gh_stars>1000+
from .bo_algorithm_components import LBFGSOptimizeAcquisition
from ..models.meanstd_acqfunc_impl import EIAcquisitionFunction
DEFAULT_ACQUISITION_FUNCTION = EIAcquisitionFunction
DEFAULT_LOCAL_OPTIMIZER_CLASS = LBFGSOptimizeAcquisition
DEFAULT_NUM_INITIAL_CANDIDATES = 250
DEFAULT_NUM_INITIAL_RANDOM_EV... | 1.203125 | 1 |
analysis/study_definition.py | orlamac/Antidepressants-in-LD-A | 0 | 12796389 | <filename>analysis/study_definition.py<gh_stars>0
from cohortextractor import StudyDefinition, patients, codelist, codelist_from_csv, filter_codes_by_category, combine_codelists, Measure # NOQA
# Import codelists from codelist.py folder
from codelists import SSRI_codes, LD_codes, Autism_codes
# Define Study time var... | 2.359375 | 2 |
app/models/Address.py | winlongit/shop_pc_server | 1 | 12796390 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
@ Author : pengj
@ date : 2019/12/10 15:45
@ IDE : PyCharm
@ GitHub : https://github.com/JackyPJB
@ Contact : <EMAIL>
--------------------------------... | 2.390625 | 2 |
src/allennlp/fortex/allennlp/__init__.py | Piyush13y/forte-wrappers | 3 | 12796391 | from fortex.allennlp.allennlp_processors import AllenNLPProcessor
| 1.0625 | 1 |
tensorflow/27.pyflink-kafka/notebooks/tensorflow_predict.py | huseinzol05/Gather-Tensorflow-Serving | 267 | 12796392 | from pyflink.datastream import StreamExecutionEnvironment, TimeCharacteristic
from pyflink.table import StreamTableEnvironment, DataTypes, EnvironmentSettings
from pyflink.table.descriptors import (
Schema,
Kafka,
Json,
Rowtime,
OldCsv,
FileSystem,
)
from pyflink.table.udf import udf
s_env = St... | 1.960938 | 2 |
example/servers/migrations/0004_auto_20170524_0707.py | jayvdb/django-test-tools | 9 | 12796393 | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-05-24 12:07
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('servers', '0003_auto_20170523_1409'),
]
operations =... | 1.53125 | 2 |
src/datasets.py | vidalt/BA-Trees | 45 | 12796394 | <filename>src/datasets.py<gh_stars>10-100
# MIT License
# Copyright(c) 2020 <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 right... | 1.992188 | 2 |
py/py_0558_irrational_base.py | lcsm29/project-euler | 0 | 12796395 | # Solution of;
# Project Euler Problem 558: Irrational base
# https://projecteuler.net/problem=558
#
# Let r be the real root of the equation x3 = x2 + 1. Every positive integer
# can be written as the sum of distinct increasing powers of r. If we require
# the number of terms to be finite and the difference between... | 3.375 | 3 |
pyoptools/raytrace/__init__.py | fcichos/pyoptools | 1 | 12796396 | <reponame>fcichos/pyoptools<gh_stars>1-10
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2007, 2008, 2009,2010 <NAME>
# <<EMAIL>>,
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions ... | 1.289063 | 1 |
tests/test_legacy_version.py | GamzeUnlu95/message_ix | 0 | 12796397 | <reponame>GamzeUnlu95/message_ix
import numpy as np
from message_ix import Scenario
msg_args = ('canning problem (MESSAGE scheme)', 'standard')
msg_multiyear_args = ('canning problem (MESSAGE scheme)', 'multi-year')
def test_solve_legacy_scenario(test_legacy_mp):
scen = Scenario(test_legacy_mp, *msg_args)
ex... | 2.296875 | 2 |
src/cogs/moderation.py | Necrozma200/Zeron | 1 | 12796398 | <gh_stars>1-10
import nextcord
from nextcord.channel import CategoryChannel,DMChannel
from nextcord.colour import Color
from nextcord.components import Button
from nextcord.embeds import Embed
from nextcord.ext import commands
from nextcord.ext.commands.cooldowns import BucketType
from nextcord.ui.view import View
from... | 1.921875 | 2 |
apps/discovery_pyre/uniflex_app_discovery_pyre/pyre_discovery_master_module.py | danieldUKIM/uniflex_wishrem | 0 | 12796399 | from pyre import Pyre
from pyre import zhelper
import threading
import zmq
import logging
import json
import time
from uniflex.core import modules
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2015, Technische Universitat Berlin"
__version__ = "0.1.0"
__email__ = <EMAIL>"
class PyreDiscoveryMasterModule(modu... | 2.078125 | 2 |
spire/wsgi/upload.py | siq/spire | 0 | 12796400 | <filename>spire/wsgi/upload.py
import os, json
from scheme import Json, Text
from werkzeug.exceptions import MethodNotAllowed
from werkzeug.formparser import parse_form_data
from werkzeug.utils import secure_filename
from spire.core import Configuration, Unit, Dependency
from spire.util import uniqid
from spire.wsgi.... | 2.03125 | 2 |
pythonProject/venv/Desafio 34.py | lucasjlgc/Aulas-de-Python- | 0 | 12796401 | # Pergunte salario e calcule aumento, maior que 1250 é 10%, menor é 15%.
salario = int(input('Qual o valor do seu salário? '))
salario1= (1250*0.1)+salario
salario2=(1250*0.15)+salario
if salario>=1250:
print('Você teve aumento de 10% e agora receberá {}'.format(salario1))
else:
print('Você teve aumento de 15%... | 3.703125 | 4 |
frds/mktstructure/measures/__init__.py | mgao6767/wrds | 1 | 12796402 | <reponame>mgao6767/wrds<gh_stars>1-10
from . import bidask_spread, effective_spread, realized_spread, price_impact
| 1.046875 | 1 |
analyzer/benchmark_analyzer.py | alexirae/benchmark-analyzer-visualizer | 0 | 12796403 | import argparse
import numpy as np
from benchmark_statistics import Statistics
from benchmark_containers import BenchmarkResultsContainer
##############################################################################
def createBenchmarkResults(benchmark_samples, operation):
benchmark_results = BenchmarkResults... | 2.578125 | 3 |
running_modes/enums/__init__.py | marco-foscato/Lib-INVENT | 26 | 12796404 | from running_modes.enums.diversity_filter_enum import DiversityFilterEnum
from running_modes.enums.learning_strategy_enum import LearningStrategyEnum
from running_modes.enums.logging_mode_enum import LoggingModeEnum
from running_modes.enums.running_mode_enum import RunningModeEnum
from running_modes.enums.generative_mo... | 1.226563 | 1 |
code/dataloaders/__init__.py | ShawnCheung/Attention-depth | 87 | 12796405 | from .nyu_dataloader import NYUDataset
from .kitti_dataloader import KITTIDataset
from .dataloader import MyDataloader
from .transforms import Resize, Rotate, RandomCrop, CenterCrop, \
ColorJitter, HorizontalFlip, ToTensor, \
Compose, Crop
from .get_datasets import create... | 1.476563 | 1 |
uri/iniciante/1037.py | AllefLobo/AlgorithmsProblemsSolution | 2 | 12796406 |
valor = float(input())
if valor >= 0 and valor <= 25:
print "Intervalo [0,25]"
elif valor >= 0 and valor <= 50:
print "Intervalo (25,50]"
elif valor >= 0 and valor <= 75:
print "Intervalo (50, 75]"
elif valor >= 0 and valor <= 100:
print "Intervalo (75,100]"
else:
print "Fora de intervalo"
| 3.890625 | 4 |
csv_cleaner.py | jing-viz/radiohead | 1 | 12796407 | <reponame>jing-viz/radiohead
import csv
k_frame_count = 2101
k_skip_frame = 5
for idx in range(1, k_frame_count, k_skip_frame):
org_filename = 'data/csv_org/%s.csv' % idx
new_filename = 'data/csv/%s.csv' % idx
with open(org_filename) as input_csv:
with open(new_filename, 'w') as output_csv:
... | 2.6875 | 3 |
brains/namelist/models.py | crisisking/udbraaains | 1 | 12796408 | <gh_stars>1-10
import datetime
from django.db import models
class Category(models.Model):
class Meta:
verbose_name_plural = 'categories'
name = models.CharField(max_length=25, null=False, blank=False)
color_code = models.CharField(max_length=7, null=False, blank=False)
def __unicode__(self)... | 2.375 | 2 |
prog/stepik_course/lab_2/task5.py | phen0menon/university-tasks | 0 | 12796409 | from collections import Counter
def find_occurrencies():
text = str(input())
num_inputs = input().split(" ")
k = int(num_inputs[0])
L = int(num_inputs[1])
t = int(num_inputs[2])
curr_pos = 0
occur = set()
for curr_pos, i in enumerate(range(len(text) - L), 0):
curr_str = text[... | 3.953125 | 4 |
hashdist/spec/hook_api.py | krafczyk/hashdist | 67 | 12796410 | <filename>hashdist/spec/hook_api.py
"""
The API exported to Python hook files that are part of stack descriptions.
A significant portion of the package building logic should eventually find
its way into here.
Hook files are re-loaded for every package build, and so decorators etc.
are run again. The machinery used to ... | 2.359375 | 2 |
COT/vm_description/ovf/hardware.py | morneaup/cot | 81 | 12796411 | #!/usr/bin/env python
#
# hardware.py - OVFHardware class
#
# June 2016, <NAME>
# Copyright (c) 2013-2016, 2019 the COT project developers.
# See the COPYRIGHT.txt file at the top-level directory of this distribution
# and at https://github.com/glennmatthews/cot/blob/master/COPYRIGHT.txt.
#
# This file is part of the C... | 2.328125 | 2 |
myjson.py | phattarin-kitbumrung/basic-python | 0 | 12796412 | import json
#Convert from JSON to Python
# some JSON:
x = '{ "name":"John", "age":30, "city":"New York"}'
# parse x:
y = json.loads(x)
# the result is a Python dictionary:
print(y["name"])
#Convert from Python to JSON
# a Python object (dict):
x = {
"name": "John",
"age": 30,
"city": "New York"
}
# convert in... | 3.9375 | 4 |
clispy/macro/system_macro.py | takahish/lispy | 4 | 12796413 | <filename>clispy/macro/system_macro.py
# Copyright 2019 <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
#
# Unl... | 1.929688 | 2 |
examples/calendar_widget.py | whitegreyblack/PyWin | 0 | 12796414 | """Calendar_widget.py"""
import re
import curses
import random
import calendar
import itertools
import source.config as config
from collections import namedtuple
date = namedtuple("Date", "Year Month Day")
def iter_months_years(startDate: object, endDate: object) -> tuple:
"""Returns years and months based on giv... | 3.84375 | 4 |
python/tvm/autotvm/tuner/sampler.py | ryujaehun/chameleon | 1 | 12796415 | <filename>python/tvm/autotvm/tuner/sampler.py
# 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... | 2.1875 | 2 |
templates/includes/loader.py | angeal185/flask-jinja-greensock-portfolio-webapp | 0 | 12796416 | <script id="sf" type="x-shader/x-fragment">
precision highp float;
uniform float time;
uniform vec2 mouse;
uniform vec2 resolution;
float ball(vec2 p, float k, float d) {
vec2 r = vec2(p.x - cos(time * k) * d, p.y + sin(time * k) * d);
return smoothstep(0.0, 1.0, 0.03 / length(r));
}
void main(void... | 1.710938 | 2 |
webservice/api/others/func_d.py | galenothiago/switch-automation | 0 | 12796417 | from flask import Flask, Request, Response, request
import json
def devices():
dict_device = request.get_data(as_text=True)
dados_device = json.loads(dict_device)
| 2.203125 | 2 |
python/tests/test_openfermion_integration.py | ausbin/qcor | 59 | 12796418 | <reponame>ausbin/qcor
import faulthandler
faulthandler.enable()
import unittest
from qcor import *
try:
from openfermion.ops import FermionOperator as FOp
from openfermion.ops import QubitOperator as QOp
from openfermion.transforms import reverse_jordan_wigner, jordan_wigner
class TestOpenFermion(... | 2.328125 | 2 |
posts/nano/dog-breed-classifier/dog_scratch_model.py | necromuralist/Neurotic-Networking | 0 | 12796419 | <reponame>necromuralist/Neurotic-Networking
# python
from functools import partial
import argparse
import os
# pypi
from dotenv import load_dotenv
from PIL import Image, ImageFile
from torchvision import datasets
import numpy
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as opt... | 2.484375 | 2 |
tests/test_public_datasets.py | scaleapi/nucleus-python-client | 13 | 12796420 | from nucleus.dataset import Dataset
PANDASET_ID = "ds_bwhjbyfb8mjj0ykagxf0"
def test_get_pandaset_items(CLIENT):
dataset: Dataset = CLIENT.get_dataset(PANDASET_ID)
items = dataset.items
items_and_annotations = dataset.items_and_annotations()
target_item = items[0]
assert {_["item"].reference_id ... | 2.5 | 2 |
work/NCS/test_files/test_wtih_restraints.py | youdar/work | 0 | 12796421 | <gh_stars>0
from __future__ import division
import mmtbx.monomer_library.pdb_interpretation
from mmtbx import monomer_library
import mmtbx.monomer_library.server
import getpass
import sys
import os
def run(file_name):
pdb_processed_file = monomer_library.pdb_interpretation.run(args=[file_name],
assume_hydrogens_... | 1.882813 | 2 |
protocol/__init__.py | KESHAmambo/IEEE_802_11ad_beamforming_simulation | 0 | 12796422 | settings = {
'log': True,
'verbosity': False,
'vcolored': True,
'time_precision': 1e-10
}
| 1.242188 | 1 |
model/MinionType.py | waniz/russian_ai_cup | 0 | 12796423 | <gh_stars>0
class MinionType:
ORC_WOODCUTTER = 0
FETISH_BLOWDART = 1
| 1.1875 | 1 |
main.py | zeek0x/common | 0 | 12796424 | import sys
from urllib import request, parse, error
from multiprocessing import Process
urls = [
'https://github.com/',
'https://twitter.com/',
'https://hub.docker.com/v2/users/'
]
def inspect_status_code(url):
try:
response = request.urlopen(url)
return response.code
except error... | 2.703125 | 3 |
data_loader/data_loaders.py | Hhhhhhhhhhao/I2T2I | 0 | 12796425 | import torch
import numpy as np
from torch.utils.data import DataLoader
from torchvision import transforms
from data_loader.datasets_custom import TextImageDataset, COCOTextImageDataset
from base import BaseDataLoader
def text_image_collate_fn(data):
collate_data = {}
# Sort a data list by right caption lengt... | 2.578125 | 3 |
tests/orm/test_app_user.py | KoalicjaOtwartyKrakow/backend | 0 | 12796426 | import pytest
from sqlalchemy.exc import ProgrammingError
from sqlalchemy_continuum.utils import count_versions
from kokon.orm import Guest
from kokon.utils.db import DB
from tests.helpers import admin_session
def test_app_user():
with admin_session() as session:
session.execute("TRUNCATE guests_version... | 2.125 | 2 |
bandc/settings.py | crccheck/atx-bandc | 0 | 12796427 | <reponame>crccheck/atx-bandc
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
import dj_database_url
from project_runpy import env
BASE_DIR = os.path.dirname(__file__)
SECRET_KEY = env.get("SECRET_KEY", "Rotom")
DEBUG = env.get("DEBUG", False)
ALLOWED_HOSTS = ["*"]
INSTALLED_APPS ... | 1.976563 | 2 |
algorithms_keeper/api.py | hfz1337/algorithms-keeper | 0 | 12796428 | <filename>algorithms_keeper/api.py
from typing import Mapping, Tuple
from gidgethub.abc import UTF_8_CHARSET
from gidgethub.aiohttp import GitHubAPI as BaseGitHubAPI
from .log import STATUS_OK, inject_status_color, logger
TOKEN_ENDPOINT = "access_tokens"
class GitHubAPI(BaseGitHubAPI): # pragma: no cover
LOG... | 2.390625 | 2 |
pymecompress/codecs.py | python-microscopy/pymecompress | 0 | 12796429 | <filename>pymecompress/codecs.py
"""
numcodecs compatible compression and quantization codecs.
"""
from . import bcl
import numcodecs
from numcodecs.abc import Codec
class Huffman(Codec):
codec_id='pymecompress.huffman'
def encode(self, buf):
return bcl.huffman_compress_buffer(buf)
def d... | 2.578125 | 3 |
payflowpro/__init__.py | pelotoncycle/python-payflowpro | 18 | 12796430 | VERSION = (0, 3, 'pre',) | 1.257813 | 1 |
test.py | narumiruna/pytorch-cpp-extension-example | 1 | 12796431 | <filename>test.py
import torch
from cppexample import normalize, gaussian
def main():
x = torch.tensor([1, 2, 3], dtype=torch.float)
y = normalize(x)
print(y)
x = gaussian(x, 0.0, 1.0, 1.0)
print(x)
if __name__ == '__main__':
main()
| 2.640625 | 3 |
randaugment.py | Hayoung93/UDA | 0 | 12796432 | import torch
import torch.nn as nn
from torchvision import transforms as ttf
class RandAugment(nn.Module):
def __init__(self, N, M):
super().__init__()
"""
rotate
shear x
shear y
translate y
translate x
autoContrast
sharpness
identity... | 2.390625 | 2 |
sipy/test.py | riikkano/protopaja2018 | 0 | 12796433 | <reponame>riikkano/protopaja2018<gh_stars>0
#Aja konsolissa: py -m unittest test.py
import unittest
from lib.mittaus import *
from lib.classes import load
from main import *
#Testaa funktiot pääohjelmasta
class TestMain(unittest.TestCase):
def test_openLoads(self):
#Testi tähän
pass
def test_... | 2.78125 | 3 |
ikats/manager/timeseries_mgr_.py | IKATS/ikats_api | 0 | 12796434 | # -*- coding: utf-8 -*-
"""
Copyright 2019 CS Systèmes d'Information
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... | 1.78125 | 2 |
roc.py | dmitryduev/deep-asteroids | 8 | 12796435 | import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" # see issue #152
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import tensorflow as tf
from keras.models import model_from_json
import json
from sklearn.metrics import roc_curve, auc, confusion_matrix
import numpy as np
import pandas as pd
from copy import deepcop... | 1.898438 | 2 |
test_field.py | pwcberry/footy-simulator-python | 0 | 12796436 | <gh_stars>0
import unittest
from field import *
from data import Team, Skills
from status import BallStatus, FieldZone, LateralDirection, Possession
class TestField(unittest.TestCase):
def setUp(self):
self.team_a = Team(
# name
"AAA",
# forwards
Skills(0.5... | 2.96875 | 3 |
trustpayments/models/subscription_version.py | TrustPayments/python-sdk | 2 | 12796437 | # coding: utf-8
import pprint
import six
from enum import Enum
class SubscriptionVersion:
swagger_types = {
'activated_on': 'datetime',
'billing_currency': 'str',
'component_configurations': 'list[SubscriptionComponentConfiguration]',
'created_on': 'datetime',
'expec... | 1.695313 | 2 |
Janeiro/008-Digitos-Pares.py | brenodt/Desafio-365-dias-programando | 0 | 12796438 | """Exercício 8:
Escreva uma função que receba dois números inteiros (a e b), e retorne uma lista contendo todos os números inteiros cujos dígitos são todos pares (a e b inclusos)"""
def digitos_pares(valor_inicial: int = 0, valor_final: int = 1000):
saida = []
# usando (valor final + 1) pois a função range n... | 3.96875 | 4 |
trefoil/examples/csv_pivot.py | icpac-igad/trefoil | 9 | 12796439 | """
Example to demonstrate creating a pivot table from the output of zonal stats CLI
"""
import time
import pandas
# Return a pipe-delimited combination of value from every column up through zone
def get_key(row):
key_parts = []
for col in row.keys():
if col == 'zone':
return... | 3.296875 | 3 |
day18/test/test_main.py | JoseTomasTocino/AdventOfCode2020 | 0 | 12796440 | <filename>day18/test/test_main.py
import logging
import os.path
from day18.code.main import evaluate_expression
logger = logging.getLogger(__name__)
local_path = os.path.abspath(os.path.dirname(__file__))
sample_input = None
def test_sample_input(caplog):
# caplog.set_level(logging.INFO)
assert evaluate_e... | 2.609375 | 3 |
210.py | wilbertgeng/LeetCode_exercise | 0 | 12796441 | <filename>210.py
"""210. Course Schedule II"""
class Solution(object):
def findOrder(self, numCourses, prerequisites):
"""
:type numCourses: int
:type prerequisites: List[List[int]]
:rtype: List[int]
"""
## Practice:
graph = collections.defaultdict(list)
... | 3.546875 | 4 |
fastapi_sso/sso/kakao.py | thdwoqor/fastapi-sso | 0 | 12796442 | <reponame>thdwoqor/fastapi-sso
import os
from typing import Dict
from fastapi_sso.sso.base import OpenID, SSOBase
class KakaoSSO(SSOBase):
provider = "kakao"
scope = ["openid"]
version = "v2"
async def get_discovery_document(self) -> Dict[str, str]:
return {
"authorization_endpoi... | 2.53125 | 3 |
aio_background/job.py | anna-money/aio-background | 7 | 12796443 | import abc
import asyncio
from typing import Collection
class Job(abc.ABC):
__slots__ = ()
@property
@abc.abstractmethod
def is_running(self) -> bool:
...
@abc.abstractmethod
async def close(self, *, timeout: float = 0.5) -> bool:
...
class SingleTaskJob(Job):
__slots__... | 2.734375 | 3 |
ulmo.py | simusid/ulmo | 0 | 12796444 | # provide status of all jobs
import ulmodb
dbname = "ulmodb.db"
db = ulmodb.UlmoDB(dbname)
| 1.25 | 1 |
docs/code/snippet_nmf_fro.py | askerdb/nimfa | 325 | 12796445 | import numpy as np
import nimfa
V = np.random.rand(40, 100)
nmf = nimfa.Nmf(V, seed="nndsvd", rank=10, max_iter=12, update='euclidean',
objective='fro')
nmf_fit = nmf()
| 1.992188 | 2 |
ether/qparser.py | alexin-ivan/ether | 0 | 12796446 | <gh_stars>0
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
##############################################################################
from PyQt4 import QtCore
import logging
##############################################################################
class QParser(QtCore.QThread):
def __init__(self, f, pa... | 2.265625 | 2 |
04_chat/client.py | pymug/ARJ_SpoonfeedingSockets_APR2021 | 0 | 12796447 | <filename>04_chat/client.py<gh_stars>0
'''
Modified by <NAME>
<EMAIL>
'''
import socket, threading
def handle_messages(connection: socket.socket):
'''
Receive messages sent by the server and display them to user
'''
while True:
try:
msg = connection.recv(1024)
# If... | 3.328125 | 3 |
bin/config-get.py | chrisbrierley/jaspy-manager | 0 | 12796448 | #!/usr/bin/env python
import os
import json
import sys
import argparse
def _find_config_file():
config = 'etc/minicondas.json'
while not os.path.isfile(config):
config = '../{}'.format(config)
if len(config) > 70:
raise Exception('Cannot locate config file "etc/minicondas.json"... | 2.734375 | 3 |
tokenizer.py | datares/recipe-gpt | 2 | 12796449 | from transformers import GPT2Tokenizer
tokenizer = GPT2Tokenizer.from_pretrained('gpt2', bos_token='<|startoftext|>', eos_token='<|endoftext|>', pad_token='<|pad|>')
tokenizer.pad_token = tokenizer.eos_token
| 2.25 | 2 |
ete_component/EteComponent.py | marco-mariotti/treedex | 0 | 12796450 | # AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
class EteComponent(Component):
"""An EteComponent component.
Keyword arguments:
- id (string; required):
The ID used to identify this component in Dash callbacks.
- activeClades (list of dicts; op... | 2.046875 | 2 |