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 |
|---|---|---|---|---|---|---|
mid_exam/runge_kutta_fourth_order_calculator.py | GiantSweetroll/Computational-Mathematics | 0 | 12773951 | import sympy as sp
def get_4th_order_rungekutta(dydx, x0, y0, n:int, h, x = sp.Symbol('x'), y = sp.Symbol('y')):
"""
Method to get the values of x, y and dy/dx using fourth-order Runge-Kutta method in a form of a 2d list
Parameters:
dydx: Equation to get the derivative
x0: initial value of... | 3.4375 | 3 |
tests/singleton_test.py | markusressel/container-app-conf | 2 | 12773952 | <reponame>markusressel/container-app-conf
# Copyright (c) 2019 <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
# ... | 1.976563 | 2 |
myp/package/__init__.py | YunisDEV/py-scripts | 2 | 12773953 | from .reader import MYPReader | 1.007813 | 1 |
pyutl/localenv.py | valldriz/pyutl | 0 | 12773954 | import os
import sys
import json
class NoEnvironmentFile(Exception):
pass
class KeyNotFound(Exception):
pass
DEFAULT = object()
class LocalEnv:
_BOOLEANS = {'1': True, 'yes': True, 'true': True, 'on': True,
'0': False, 'no': False, 'false': False, 'off': False, '': False}
def _... | 2.8125 | 3 |
tests/providers/cloudera/utils.py | zomborinorbert/airflow | 0 | 12773955 | # 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 u... | 2.34375 | 2 |
NER-Chinese-BiLSTM+CRF/data/boson/data_util.py | aka-zyq/NER-TF | 47 | 12773956 | <filename>NER-Chinese-BiLSTM+CRF/data/boson/data_util.py
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import codecs
import pandas as pd
import numpy as np
import re
def data2pkl():
datas = list()
labels = list()
linedata=list()
linelabel=list()
tags = set()
input_data = codecs.open('./wordtagspl... | 2.703125 | 3 |
examples/apps/reverse_image_search/server.py | keunhong/scanner | 1 | 12773957 | import subprocess
try:
from flask import Flask, request, send_from_directory
except ImportError:
print('This example needs Flask to run. Try running:\n'
'pip install flask')
app = Flask(__name__)
STATIC_DIR = 'examples/reverse_image_search/static'
# TODO(wcrichto): figure out how to prevent image ... | 2.546875 | 3 |
input.py | albertliangcode/DiceRoll | 0 | 12773958 | <filename>input.py
"""
Input
3/26/15
<NAME>
Just a quick check to make sure input can be taken in from the user through the console.
On the side, it also tests conditionals.
"""
while(True):
s = raw_input("Enter string to print: ")
print s,"\n"
if(s.lower() == "exit"):
break
print "Exiting..."
| 3.28125 | 3 |
examples/_gen_playback.py | JacobKosowski/mpl-point-clicker | 3 | 12773959 | <reponame>JacobKosowski/mpl-point-clicker
from mpl_playback.record import record_file
# record_file("heatmap_slicer.py", "fig")
record_file("example.py", "fig")
| 1.65625 | 2 |
Extra/Waste Seggregation using trashnet/Final Files/utils.py | KushajveerSingh/pytorch_projects | 19 | 12773960 | <reponame>KushajveerSingh/pytorch_projects<gh_stars>10-100
import onnx
from onnx_tf.backend import prepare
import numpy as np
from PIL import Image
__all__ = ['prepare_model', 'open_img', 'classes', 'get_pred']
def prepare_model(path='mobilenetv2.onnx'):
model = onnx.load(path)
tf_rep = prepare(model, devi... | 2.328125 | 2 |
lib/losses/centernet_loss.py | DuZzzs/monodleX | 10 | 12773961 | import torch
import torch.nn as nn
import torch.nn.functional as F
from lib.helpers.decode_helper import _transpose_and_gather_feat
from lib.losses.focal_loss import focal_loss_cornernet
from lib.losses.uncertainty_loss import laplacian_aleatoric_uncertainty_loss
from lib.losses.dim_aware_loss import dim_aware_l1_loss... | 1.976563 | 2 |
25_DFSBFS/Step01/wowo0709.py | StudyForCoding/BEAKJOON | 0 | 12773962 | '''인접 행렬로 풀이'''
import sys
input = sys.stdin.readline
def dfs(v): # 재귀
print(v,end=' ')
visited[v] = 1
for i in range(1,N+1):
if (not visited[i]) and (graph[v][i]):
dfs(i)
def bfs(v): # 큐
q = []
q.append(v)
visited[v] = 1
while q:
v = q.pop(0)
print(v,en... | 3.296875 | 3 |
ABC/187/D.py | yu9824/AtCoder | 0 | 12773963 | <reponame>yu9824/AtCoder
def LI(): return list(map(int, input().split()))
def I(): return int(input())
import sys
sys.setrecursionlimit(10 ** 9)
'''
青木派でsortして上から順番に寝返り？
得失点差でsortして上から順番に寝返り？
'''
def main(*args):
N, AB = args
# aoki = []
# takahashi = []
# for a, b in AB:
# takahashi.app... | 3.203125 | 3 |
hkm/migrations/0022_museum_only_products.py | andersinno/kuvaselaamo | 1 | 12773964 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2017-07-19 10:17
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('hkm', '0021_page_ref'),
]
operations = [
migrations.AddField(
m... | 1.609375 | 2 |
zfactor_py/calculate_zfactor.py | mkamyab/zfactor | 2 | 12773965 | # This code calculates compressibility factor (z-factor) for natural hydrocarbon gases
# with 3 different methods. It is the outcomes of the following paper:
# <br>
# <NAME>.; <NAME>., <NAME>.; <NAME>. & <NAME>, <NAME>.
# Using artificial neural networks to estimate the Z-Factor for natural hydrocarbon gases
... | 3 | 3 |
ml_collections/config_dict/tests/field_reference_test.py | wyddmw/ViT-pytorch-1 | 311 | 12773966 | # Copyright 2021 The ML Collections 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 or agreed... | 2.640625 | 3 |
evaluation.py | maylilyo/wd60 | 0 | 12773967 | # Standard
import gc
from pathlib import Path
import time
# PIP
from ignite.metrics import PSNR, SSIM
from lpips import LPIPS
from ptflops import get_model_complexity_info
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
# Custom
from custom.softsplat.model import SoftSplat
from custom.vimeo... | 2.015625 | 2 |
Partylist.py | mas250/Python2 | 0 | 12773968 | <filename>Partylist.py
#PartyList.py
print "\t\tThis program allows you to maintain"
print "t\t\a list of names opf people to invite"
print "\t\tto a party\n"
names = [] # Creat an empty list
choice = "z" #Initalize choice with value to set while loop to true
while choice != "q":
print """
C... | 4.28125 | 4 |
fitness-backend/src/app/dao/class_descs_dao.py | cuappdev/archives | 0 | 12773969 | from . import *
def get_all_class_descs():
return ClassDesc.query.all()
def get_class_desc_by_id(gym_class_id):
return ClassDesc.query.filter(ClassDesc.id == gym_class_id).first()
def get_class_descs_by_ids(class_desc_id_list):
result = []
for class_desc_id in class_desc_id_list:
optional_class_desc = ... | 2.78125 | 3 |
setup.py | teknologist/algolia-doc-manager | 0 | 12773970 | <reponame>teknologist/algolia-doc-manager
try:
from setuptools import setup
except ImportError:
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup
import sys
test_suite = "tests"
tests_require = ["mongo-orchestration>= 0.2, < 0.4", "requests>=2.5.1"]
if sys.version_info[... | 1.484375 | 1 |
gem/tests/base.py | praekelt/molo-gem | 3 | 12773971 | <gh_stars>1-10
import json
from django.contrib.auth import get_user_model
from django.contrib.contenttypes.models import ContentType
from wagtail.core.models import Page
from molo.core.models import (
Main, SectionPage, ArticlePage, PageTranslation, Tag,
BannerPage, Languages, SiteLanguageRelation)
from molo... | 1.90625 | 2 |
ggongsul/member/migrations/0008_auto_20211126_1014.py | blc-cruise/ggongsul-api | 2 | 12773972 | <filename>ggongsul/member/migrations/0008_auto_20211126_1014.py<gh_stars>1-10
# Generated by Django 3.1.5 on 2021-11-26 10:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('member', '0007_memberdetail_recommended_place'),
]
operations = [
... | 1.671875 | 2 |
nemo/collections/tts/helpers/partialconv1d.py | MikyasDesta/NeMo | 0 | 12773973 | # Copyright (c) 2022, NVIDIA CORPORATION. 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 appli... | 1.8125 | 2 |
birthday_pages/apps.py | JoshZero87/site | 4 | 12773974 | from __future__ import unicode_literals
from django.apps import AppConfig
class BirthdayPagesConfig(AppConfig):
name = 'birthday_pages'
| 1.304688 | 1 |
DiseaseIdentifier/DiseaseClassify/migrations/0002_auto_20190515_0951.py | Rosan93/Disease-Identifier | 0 | 12773975 | # Generated by Django 2.2.1 on 2019-05-15 09:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('DiseaseClassify', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='uploadimage',
name='predict_i... | 1.398438 | 1 |
python3/286.walls-and-gates.250862961.ac.py | Diego-Zulu/leetcode_answers | 0 | 12773976 | <reponame>Diego-Zulu/leetcode_answers
#
# @lc app=leetcode id=286 lang=python3
#
# [286] Walls and Gates
#
# https://leetcode.com/problems/walls-and-gates/description/
#
# algorithms
# Medium (53.35%)
# Likes: 1050
# Dislikes: 15
# Total Accepted: 113.7K
# Total Submissions: 212.9K
# Testcase Example: '[[2147483... | 3.671875 | 4 |
OpenGL/lazywrapper.py | t20100/pyopengl | 210 | 12773977 | """Simplistic wrapper decorator for Python-coded wrappers"""
from OpenGL.latebind import Curry
from OpenGL import MODULE_ANNOTATIONS
class _LazyWrapper( Curry ):
"""Marker to tell us that an object is a lazy wrapper"""
def lazy( baseFunction ):
"""Produce a lazy-binding decorator that uses baseFunction
A... | 3.265625 | 3 |
train_interfaces.py | pgruening/fp_nets_as_novel_deep_networks_inspired_by_vision | 0 | 12773978 | <filename>train_interfaces.py
import numpy as np
import torch
import torch.nn as nn
import torch.nn.init as init
from DLBio.pt_train_printer import IPrinterFcn
from DLBio.pt_training import ITrainInterface
from DLBio.pytorch_helpers import ActivationGetter, get_device
from DLBio.train_interfaces import (Accuracy, Class... | 2.265625 | 2 |
main.py | ahlumcho/RyeongBot | 0 | 12773979 | print("Hello world! i'm <NAME>" )
print("캔디크러시팡팡파라바라팡팡팡" )
print('웅앵옹앙응')
| 2.15625 | 2 |
rlagent.py | Ankur-Deka/Emergent-Multiagent-Strategies | 23 | 12773980 | from rlcore.algo import PPO
from rlcore.storage import RolloutStorage
class Neo(object):
def __init__(self, args, policy, obs_shape, action_space):
super().__init__()
self.obs_shape = obs_shape
self.action_space = action_space
self.actor_critic = policy # it is MPNN instance
self.rollou... | 2.265625 | 2 |
serene_load/serene_load/helpers/load_helpers.py | NICTA/serene-etl | 0 | 12773981 | <filename>serene_load/serene_load/helpers/load_helpers.py<gh_stars>0
import collections
import json
import logging
import subprocess
import os
from serene_load.helpers.containers.container_base import BaseContainer, FileContainer
from serene_metadata import REQUIRED_LOAD_FIELDS, PRIMARY_ID
class load_logger(object):... | 2 | 2 |
Alihossein/contest/8901/8901.py | alihossein/quera-answers | 0 | 12773982 | <gh_stars>0
# question : https://quera.ir/problemset/contest/8901
x_n = input().split(' ')
x = x_n[1]
n = int(x_n[0])
default_value = {
'L': 0,
'M': 0,
'R': 0,
}
movements = []
for one_input in range(n):
movements.append(input().split(' '))
default_value[x] = 1
for one_movement in movements:
temp ... | 3.265625 | 3 |
api/users/serializers.py | individuo7/wololo-tournaments-api | 2 | 12773983 | <reponame>individuo7/wololo-tournaments-api<filename>api/users/serializers.py<gh_stars>1-10
from rest_framework.serializers import ModelSerializer
from django.contrib.auth import get_user_model
User = get_user_model()
class UserSerializer(ModelSerializer):
class Meta:
model = User
fields = [
... | 2.078125 | 2 |
server_client/manager.py | shrijaltamrakar/Descent_py | 2 | 12773984 | <reponame>shrijaltamrakar/Descent_py
import os, threading
from time import sleep
server = "python server.py"
client = "python client.py"
multi_server = "python multi_server.py"
multi_client = "python multi_client.py"
class run_cmd(threading.Thread):
def __init__(self,command):
threading.Thread.__init__(... | 3.140625 | 3 |
code/Phase_1_CNN/CompileTensor.py | MMarochov/SEE_ICE | 4 | 12773985 | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 6 14:52:32 2021
@author: Patrice
Simple utility script to read tiles from drive and compile a large tensor saved as an npy file.
Use only if you have enough ram to contain all your samples at once
"""
import numpy as np
import glob
import skimage.io as io
def tic():
... | 2.546875 | 3 |
CursoemVideo/ex104.py | arthxvr/coding--python | 0 | 12773986 | <gh_stars>0
from colorama import init
init()
def leiaInt(msg):
while True:
num = str(input(msg)).strip()
if num.isnumeric():
int(num)
break
else:
print('\033[0;31mERRO! Digite um número inteiro válido.\033[m')
return num
num = leiaInt('Digite um nú... | 3.5 | 4 |
py/codeforces/842C.py | shhuan/algorithms | 0 | 12773987 | # -*- coding: utf-8 -*-
import math
import collections
import bisect
import heapq
import time
import random
import itertools
import sys
"""
created by shhuan at 2017/10/20 15:45
"""
def gcd(a, b):
if b == 0:
return a
return gcd(b, a%b)
N = 2*10**5+5
vis = [0] * N
G = collections.defaultdict(list... | 3.171875 | 3 |
Python/empire/aws/dynamodb/table_struct.py | Tombmyst/Empire | 0 | 12773988 | <gh_stars>0
from empire import *
from datetime import datetime
from empire.structs import *
from empire.enums.base_enum import BaseEnum
class TableStatuses(BaseEnum):
CREATING: Final[str] = 'CREATING'
UPDATING: Final[str] = 'UPDATING'
DELETING: Final[str] = 'DELETING'
ACTIVE: Final[str] = ... | 2.015625 | 2 |
gui_tools/create_gui_zip.py | kusterlab/SIMSI-Transfer | 0 | 12773989 | <filename>gui_tools/create_gui_zip.py
from pathlib import Path
import shutil
simsi_dist_dir = Path.cwd() / 'dist' / 'SIMSI-Transfer'
lib_dir = simsi_dist_dir / 'lib'
lib_dir.mkdir(parents=True, exist_ok=True)
print("Moving libraries to lib directory")
for f in simsi_dist_dir.glob('*'):
if f.name.endswith(".egg-i... | 2.484375 | 2 |
variation/schemas/hgvs_to_copy_number_schema.py | cancervariants/varlex | 0 | 12773990 | <reponame>cancervariants/varlex
"""Module containing schemas used in HGVS To Copy Number endpoints"""
from typing import Type, Any, Dict, Union
from ga4gh.vrsatile.pydantic.vrs_models import RelativeCopyClass, AbsoluteCopyNumber, \
RelativeCopyNumber, Text
from pydantic import StrictStr
from variation.schemas.cla... | 2.15625 | 2 |
scraper/scraper.py | keanu-xoren/budget-generator | 0 | 12773991 | <gh_stars>0
from bs4 import BeautifulSoup
import requests
TEST_CITY = {
"city" : "Oakland",
"state" : "IL",
"country" : "United States"
}
NUMBEO_URL = "https://www.numbeo.com/cost-of-living/in/"
def formatLocationURL(city, country='', state=''):
return ('-').join(filter(None, city.split(' ') + state... | 3.3125 | 3 |
PathDSP/myModel.py | TangYiChing/PathDSP | 2 | 12773992 | """
Feedforward model construct
number of hidden layers:5
neural units of hidden layers: [2000, 1000, 800, 500, 100]
activation function: elu
"""
import torch as tch
class FNN(tch.nn.Module):
def __init__(self, n_inputs):
# call constructors from superclass
super(FNN, self).__init__()... | 3.75 | 4 |
train/data/iphi_dates.py | sommerschield/iphi | 7 | 12773993 | <filename>train/data/iphi_dates.py
# Copyright 2021 <NAME>, <NAME>,
# <NAME>, <NAME>, <NAME>,
# University of Oxford, DeepMind Technologies Limited, Google LLC
#
# 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 o... | 2.3125 | 2 |
tests/test_startup.py | tearf001/fastapi-sqla | 33 | 12773994 | import httpx
from asgi_lifespan import LifespanManager
from fastapi import FastAPI
from pytest import mark
from sqlalchemy import text
def test_startup():
from fastapi_sqla import _Session, startup
startup()
session = _Session()
assert session.execute(text("SELECT 1")).scalar() == 1
@mark.asyncio... | 2.328125 | 2 |
gblda/__init__.py | ChengjieWU/LatentDirichletAllocation | 2 | 12773995 | """Copyright (c) 2020 <NAME>"""
from .gblda import GibbsLDA
| 0.925781 | 1 |
setup.py | Kushagrabainsla/create-flask-app | 11 | 12773996 | from setuptools import setup, find_packages
import pathlib
HERE = pathlib.Path(__file__).parent
README = (HERE / "README.md").read_text()
setup(
name='build-flask-app',
description='Set up a modern flask web server by running one command.',
long_description=README,
long_description_content_type="text/... | 1.554688 | 2 |
Tests/EndToEndTests/CNTKv2Python/Examples/ConvNet_CIFAR10_DataAug_test.py | shyamalschandra/CNTK | 17,702 | 12773997 | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
import numpy as np
import os
import sys
from cntk.ops.tests.ops_test_utils import ... | 2.0625 | 2 |
landscape_setup/concourse.py | jia-jerry/cc-utils | 0 | 12773998 | <gh_stars>0
# Copyright (c) 2019 SAP SE or an SAP affiliate company. All rights reserved. This file is licensed
# under the Apache Software License, v. 2 except as noted otherwise in the LICENSE file
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance wit... | 1.640625 | 2 |
dataStructures/queue.py | evanxg852000/rockstartdev | 1 | 12773999 | from linkedlist import LinkedList
class Queue(object):
def __init__(self):
self._store = LinkedList()
def enqueue(self, data):
self._store.add_back(data)
def dequeue(self):
if(self._store.front() != None):
data = self._store.front().data
self._store.delete(... | 3.921875 | 4 |
adventofcode/2019/python/day03.py | shanavas786/coding-fu | 1 | 12774000 | <reponame>shanavas786/coding-fu
#!/usr/bin/env python3
def get_vertices(wire):
x = y = steps = 0
vertices = [(x, y, 0)]
for edge in wire:
length = int(edge[1:])
steps += length
if edge[0] == "R":
x += length
if edge[0] == "L":
x -= length
... | 3.609375 | 4 |
weibospider/daemon_tweet.py | uglyghost/WeiboSpider | 0 | 12774001 | <gh_stars>0
import os
while 1:
run_depth_pct = 'python run_spider.py tweet'
os.system(run_depth_pct) | 1.867188 | 2 |
mandalka/node.py | squirrelinhell/mandalka | 0 | 12774002 | <gh_stars>0
# Copyright (c) 2017 SquirrelInHell
#
# 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, merge, ... | 1.921875 | 2 |
test/raven/test_raven_utils.py | wudidaizi/RAVEN | 0 | 12774003 | <reponame>wudidaizi/RAVEN<gh_stars>0
# %%
import torch
from RAVEN.pe.raven.utils import poly
import matplotlib.pyplot as plt
# %%
"""
# test poly
"""
# %%
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
a = torch.arange(0, 1, 0.001).to(device)
precise = torch.exp(a).to(device)
var = a
coef... | 2.53125 | 3 |
Curso_Em_Video_Python/ex051.py | ThallesTorres/Curso_Em_Video_Python | 0 | 12774004 | <gh_stars>0
# Ex: 051 - Desenvolva um programa que leia o primeiro termo e a razão de uma
# PA. No final. mostre os 10 primeiros termos dessa progressão.
print('''
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
--Seja bem-vindo!
--Exercício 051
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
''')
print('--Progressão Aritmética\n... | 3.78125 | 4 |
post-sermon/extract-meta.py | tstephen/cbc-gsuite | 0 | 12774005 | #!/usr/bin/python3
#
# Extract audio metadata from m4a file
#
# Author: <NAME>
# Date: 04 Jan 2021
#
import glob
from mutagen.mp4 import MP4
import numpy as np
filez = glob.glob("2020_12_27_AM.m4a")
mp4file = MP4(filez[0])
for tag in mp4file.tags:
print('{}: {}'.format(tag, mp4file.tags[tag]))
| 2.78125 | 3 |
src/test/test_urilib2.py | supheart/python-spider | 0 | 12774006 | # -*- coding: utf-8 -*
import urllib2
import urllib
import cookielib
import json
url = "http://www.baidu.com"
url_json = "http://zhiboba.3b2o.com/article/showListJson/EKo5qjn6Mq4"
# print urllib2.urlopen("http://baike.baidu.com/view/20965.htm").read()
readText = urllib2.urlopen(url_json).read()
content = json.loads(... | 2.890625 | 3 |
util.py | ZiyaoWei/pyMatrixProfile | 29 | 12774007 | import numpy as np
import numpy.fft as fft
def zNormalize(ts):
"""Return a z-normalized version of the time series ts.
>>> zNormalize(np.array([1.0, 1.0, 1.0]))
array([ 0., 0., 0.])
>>> np.round(zNormalize(np.array([1.0, 2.0, 0.0])), 3)
array([ 0. , 1.225, -1.225])
>>> np.round(zNormaliz... | 3.0625 | 3 |
alocadorDeMemoria/algoritmo.py | lucascust/alocador-de-memoria | 1 | 12774008 | <reponame>lucascust/alocador-de-memoria
# ncoding=utf-8
# DEFINIÇÃO DO PADRÃO DE ESCRITA
# COMENTÁRIOS
# 1º Modo de escrita dos comentários livre, ´~^-_+=, etc, permitidos
#ex: meu nome é, variável de saída
# FUNÇÕES
# 2º Nomes das funções SEM ´~^-_+=, etc. E pode usar "De"
#... | 3.578125 | 4 |
imghide.py | heyDevlopr/imghide | 0 | 12774009 | #!/usr/bin/python3
import tkinter as tk
from tkinter import messagebox
from PIL import ImageTk
from PIL import Image
from os import path
from Crypto.Cipher import AES
from Crypto.Hash import SHA256
from Crypto import Random
import base64
from sys import exit
global mainBgColr, secBgColr, theme
mainBgColr = "#121212"
... | 3 | 3 |
spar_python/query_generation/query_bounds.py | nathanawmk/SPARTA | 37 | 12774010 | <filename>spar_python/query_generation/query_bounds.py
# *****************************************************************
# Copyright 2013 MIT Lincoln Laboratory
# Project: SPAR
# Authors: ATLH
# Description: Functions to delinate the bounds for different
# query ... | 2.359375 | 2 |
tests/unit/exponential_distribution_test.py | konradarchicinski/stpp | 1 | 12774011 | <filename>tests/unit/exponential_distribution_test.py
import unittest
import fistpp as fs
class ExponetialDistributionTests(unittest.TestCase):
def setUp(self):
self.expdist = fs.ExponentialDistribution()
self.expected_values = [
0.001000500333583534, 0.005012541823544286, 0.0100503358... | 2.78125 | 3 |
config/common/all_params.py | leozz37/makani | 1,178 | 12774012 | # Copyright 2020 Makani Technologies LLC
#
# 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... | 1.570313 | 2 |
cogbot/cogs/robo_mod/robo_mod_options.py | Arcensoth/cogbot | 8 | 12774013 | <filename>cogbot/cogs/robo_mod/robo_mod_options.py
from typing import Dict, List, Optional, Set
from discord import Color
from cogbot.cogs.robo_mod.robo_mod_rule import RoboModRule
from cogbot.cogs.robo_mod.robo_mod_trigger_type import RoboModTriggerType
from cogbot.types import ChannelId, RoleId
class RoboModOptio... | 2.1875 | 2 |
RRT/old versions/29_june_2016_single_RRT/parameters.py | hasauino/Python | 0 | 12774014 | <reponame>hasauino/Python<filename>RRT/old versions/29_june_2016_single_RRT/parameters.py
dim=10.0
eta=0.5
steps=100 #must be integer (no decimal point)
rneighb=eta
| 1.203125 | 1 |
util/measure/modularity.py | yuhsiangfu/Multiple-Spreaders | 0 | 12774015 | """
Measure: modularity (set)
@auth: <NAME>
@date 2015/10/09
@update 2016/02/13
"""
# 模塊性: Newman's modularity
def modularity(G, community_list):
"""
The estimated time complexity of this version (2016/02/13) is approximating
O(V) + O(E)
"""
import copy as c
NODE_DEGREE = 'node_degree'
... | 3.53125 | 4 |
train/new_train.py | zeroAska/TFSegmentation | 633 | 12774016 | <filename>train/new_train.py
"""
New trainer faster than ever
"""
from metrics.metrics import Metrics
from utils.reporter import Reporter
from utils.misc import timeit
from tqdm import tqdm
import numpy as np
import tensorflow as tf
import matplotlib
import time
matplotlib.use('Agg')
import matplotlib.pyplot as plt
... | 2.359375 | 2 |
rps_nk.py | naraekwon/udacity-rock-paper-scissor | 0 | 12774017 | <gh_stars>0
#!/usr/bin/env python3
import random
import pdb
"""This program plays a game of Rock, Paper, Scissors between two Players,
and reports both Player's scores each round."""
moves = ['rock', 'paper', 'scissors']
"""The Player class is the parent class for all of the Players
in this game"""
class Player:
... | 4.1875 | 4 |
BinarySearch/MorPracticesII/Median of Two Sorted Arrays.py | mamoudmatook/Leetcode | 0 | 12774018 | #
# Created on Wed Sep 01 2021
#
# The MIT License (MIT)
# Copyright (c) 2021 Maatuq
#
# 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 ri... | 3.109375 | 3 |
midonet/neutron/tests/unit/test_midonet_plugin.py | midokura/python-neutron-plugin-midonet | 0 | 12774019 | <reponame>midokura/python-neutron-plugin-midonet<gh_stars>0
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012 Midokura Japan K.K.
# Copyright (C) 2013 Midokura PTE LTD
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in c... | 1.476563 | 1 |
camkes/visualCAmkES/View/Instance_Property_Widget.py | aisamanra/camkes-tool | 0 | 12774020 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2017, Data61
# Commonwealth Scientific and Industrial Research Organisation (CSIRO)
# ABN 41 687 119 230.
#
# This software may be distributed and modified according to the terms of
# the BSD 2-Clause license. Note that NO WARRANTY is provided.
# See "LICENSE_... | 2.4375 | 2 |
client/utils/config_jim.py | DoctorChe/Python_DataBase_PyQT | 1 | 12774021 | <filename>client/utils/config_jim.py
"""Константы для jim протокола, настройки"""
ACTION = "action" # тип сообщения между клиентом и сервером
TIME = "time" # время запроса
DATA = "data" # данные пересылаемые в сообщении (вложенный словарь)
TOKEN = "token" # токен
RESPONSE = "response" # код ответа
# Значения (Ти... | 2.421875 | 2 |
ui.py | volkmaster/word-image-collage | 0 | 12774022 | <reponame>volkmaster/word-image-collage
import sys
from PyQt5.QtWidgets import QMainWindow, QApplication, QDialog, QLabel, QLineEdit, QPushButton
from PyQt5.QtCore import pyqtSlot
from api import api_caller
from filtering import elastic_transform, japanify, pixelsort, smoothing, ripple_effect, segmentation
import patte... | 2.453125 | 2 |
70/main.py | pauvrepetit/leetcode | 0 | 12774023 | # 70. 爬楼梯
#
# 20210716
# huao
from math import comb
class Solution:
def climbStairs(self, n: int) -> int:
count = 0
for i in range(n // 2 + 1):
count += comb(n - i, i)
return count
print(Solution().climbStairs(2))
print(Solution().climbStairs(3))
| 3.296875 | 3 |
tests/cors_test.py | aio-libs-abandoned/aiorest | 3 | 12774024 | <gh_stars>1-10
import unittest
import asyncio
import aiohttp
import contextlib
from aiorest import RESTServer
class REST:
def __init__(self, test):
self.test = test
def index(self, request):
return {'status': 'ok'}
def check_origin(self, request):
return {'status': 'ok'}
clas... | 2.390625 | 2 |
algnuth/polynom.py | louisabraham/algnuth | 290 | 12774025 | """
Modular arithmetic
"""
from collections import defaultdict
import numpy as np
class ModInt:
"""
Integers of Z/pZ
"""
def __init__(self, a, n):
self.v = a % n
self.n = n
def __eq__(a, b):
if isinstance(b, ModInt):
return not bool(a - b)
else:
... | 3.421875 | 3 |
tests/test_prelude_tagblock.py | iwschris/ezodf2 | 4 | 12774026 | <reponame>iwschris/ezodf2
#!/usr/bin/env python
#coding:utf-8
# Purpose: test node organizer
# Created: 31.01.2011
# Copyright (C) 2011, <NAME>
# License: MIT
from __future__ import unicode_literals, print_function, division
__author__ = "mozman <<EMAIL>>"
import unittest
# test helpers
from mytesttools i... | 2.453125 | 2 |
clevr_dataloader.py | CatarauCorina/representation_learning | 0 | 12774027 | import os
import torch
import matplotlib.pyplot as plt
from torchvision import transforms
from torch.utils.data import Dataset
import cv2
from PIL import Image
class CustomDataSet(Dataset):
def __init__(self, main_dir, type='train', resolution=(128,128)):
self.main_dir = main_dir
self.root_dir =... | 2.84375 | 3 |
examples/sentiment_analysis/sentiment_analysis.py | ruanchaves/word_segmentation | 1 | 12774028 | <reponame>ruanchaves/word_segmentation<gh_stars>1-10
import json
from dataclasses import dataclass, field
import logging
import os
import sys
from torch import nn
import torch
from contextlib import suppress
from pythonjsonlogger import jsonlogger
import datasets
from datasets import (
load_dataset,
... | 2.203125 | 2 |
official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py | 62theories/tf-flask | 82,518 | 12774029 | # Copyright 2021 The TensorFlow Authors. 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 applica... | 1.828125 | 2 |
whales_model.py | avain/DeepLearningTutorial | 1 | 12774030 | <reponame>avain/DeepLearningTutorial
from keras.models import Sequential
from keras.layers import Flatten,Dense,Conv2D,MaxPooling2D
from keras.engine import Layer
import keras.backend as K
def my_ConvNet(input_shape):
model = Sequential()
#conv1
model.add(Conv2D(filters=96, kernel_size=(11, 11),
... | 3.390625 | 3 |
server.py | RobinKarlsson/protobuf-chat | 1 | 12774031 | <reponame>RobinKarlsson/protobuf-chat<filename>server.py<gh_stars>1-10
import protobuf
import select, socket, struct
class ChatServer:
def __init__(self, host = "", port = 8942):
self.port = port
self.host = host
#inet streaming server socket
self.ssocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)... | 2.90625 | 3 |
caldera/app/commands/command.py | m4l1c3/caldera | 3 | 12774032 | <reponame>m4l1c3/caldera
from typing import Union, List
class CommandLine(object):
def __init__(self, command_line: Union[str, List[str]] = None):
if command_line and isinstance(command_line, list):
command_line = ' '.join(command_line)
self.command_line = command_line
| 2.734375 | 3 |
tensorflow_impl/rsrcs/aggregator_tf/average.py | sahareslami/Garfield | 8 | 12774033 | import numpy as np
class Average:
@staticmethod
def aggregate(gradients):
assert len(gradients) > 0, "Empty list of gradient to aggregate"
if len(gradients) > 1:
return np.mean(gradients, axis=0)
else:
return gradients[0]
| 3.265625 | 3 |
FbxPipeline/generated/apemodefb/EAnimCurvePropertyFb.py | johnfredcee/FbxPipeline | 72 | 12774034 | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: apemodefb
class EAnimCurvePropertyFb(object):
LclTranslation = 0
RotationOffset = 1
RotationPivot = 2
PreRotation = 3
PostRotation = 4
LclRotation = 5
ScalingOffset = 6
ScalingPivot = 7
LclScaling = 8... | 1.179688 | 1 |
mscv/image/__init__.py | misads/mscv | 1 | 12774035 | <reponame>misads/mscv<filename>mscv/image/__init__.py
from .image_io import tensor2im
__all__ = ['tensor2im']
| 1.1875 | 1 |
setup.py | rotdrop/rhasspy-wake-precise-hermes | 0 | 12774036 | <filename>setup.py
"""Setup file for rhasspywake_precise_hermes"""
from pathlib import Path
import setuptools
this_dir = Path(__file__).parent
with open(this_dir / "README.md") as readme_file:
long_description = readme_file.read()
with open(this_dir / "requirements.txt") as requirements_file:
requirements = ... | 1.835938 | 2 |
examples/example11.py | pyrate-build/pyrate-build | 41 | 12774037 | <gh_stars>10-100
#!/usr/bin/env pyrate
executable('example11.bin', 'test.cpp test.c foo.cpp', link_mode = 'direct') # automatic switching to 'single' mode
| 1.289063 | 1 |
src/main.py | chengkunli96/KinectFusion | 28 | 12774038 | <reponame>chengkunli96/KinectFusion<gh_stars>10-100
import matplotlib.pyplot as plt
from os.path import join as opj
import os
import json
import open3d as o3d
from data_loader import *
from kinect_fusion import *
from utils.pyrender_show import showMesh
from utils.open3d_show import showPointCloud
# for ... | 2.15625 | 2 |
jug/tests/jugfiles/custom_hash_function.py | dombrno/jug | 309 | 12774039 | <gh_stars>100-1000
from jug import TaskGenerator
from jug.utils import CustomHash
hash_called = 0
def bad_hash(x):
global hash_called
hash_called += 1
return ('%s' % x).encode('utf-8')
@TaskGenerator
def double(x):
return 2*x
one = CustomHash(1, bad_hash)
two = double(one)
| 2.484375 | 2 |
recipes/wav2vec_collect.py | sciforce/phones-las | 35 | 12774040 | <filename>recipes/wav2vec_collect.py
from tqdm import tqdm
import h5py
import os
import argparse
import numpy as np
import tensorflow as tf
from preprocess_all import make_example
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir', type=str, help='directory with ge... | 2.59375 | 3 |
pegasusio/nanostring_data.py | hoondy/pegasusio | 0 | 12774041 | <reponame>hoondy/pegasusio<filename>pegasusio/nanostring_data.py
import numpy as np
import pandas as pd
from scipy.sparse import csr_matrix
from typing import List, Dict, Union
import logging
logger = logging.getLogger(__name__)
import anndata
from pegasusio import UnimodalData
from .views import INDEX, _parse_index,... | 2.234375 | 2 |
setup_test.py | nahidupa/grr | 1 | 12774042 | #!/usr/bin/env python
"""A quick script to verify that setup.py actually installs all files."""
# pylint: disable=g-import-not-at-top
import os
import re
try:
import setuptools
setuptools.setup = lambda *args, **kw: None
except ImportError:
from distutils import core
core.setup = lambda *args, **kw: None
im... | 2.265625 | 2 |
vbb_backend/users/migrations/0009_auto_20210320_1800.py | patrickb42/backend-vbb-portal | 3 | 12774043 | <gh_stars>1-10
# Generated by Django 3.0.10 on 2021-03-20 18:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0008_auto_20210320_1759'),
]
operations = [
migrations.AlterField(
model_name='newslettersubscriber',
... | 1.765625 | 2 |
src/t/__init__.py | danpalmer/t | 1 | 12774044 | from .cli import autodiscover, cli
def main():
autodiscover()
cli()
__all__ = (
"autodiscover",
"cli",
"main",
)
| 1.195313 | 1 |
lib/python3.8/site-packages/ansible/module_utils/facts/sysctl.py | cjsteel/python3-venv-ansible-2.10.5 | 4 | 12774045 | # This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that ... | 2.03125 | 2 |
stoa.py | petehague/stoa | 0 | 12774046 | #!/usr/bin/env python
import os
import sys
import re
params = {"port": 9000,
"target": "./example"}
if len(sys.argv)>1:
for arg in sys.argv:
tokens = re.split("=",arg.strip())
if len(tokens)>1:
var = tokens[0]
value = tokens[1]
params[var] = value
#TODO: make this a more python... | 2.328125 | 2 |
plato/internal/weak_id_dict.py | jgosmann/plato | 0 | 12774047 | """Provides a dictionary indexed by object identity with a weak reference."""
import weakref
from typing import Any, Dict, Generic, Iterator, TypeVar
T = TypeVar("T")
class WeakIdDict(Generic[T]):
"""Dictionary using object identity with a weak reference as key."""
data: Dict[int, T]
refs: Dict[int, we... | 2.84375 | 3 |
parser/team02/proyec/Valor/Valor.py | webdev188/tytus | 35 | 12774048 | from ast.Expresion import Expresion
class Valor(Expresion):
def __init__(self,value,line,column):
self.value = valor
def getValor(self,entorno,tree):
return self.value
| 2.5625 | 3 |
Swit/inner/branch.py | NogaOs/wit | 0 | 12774049 | <filename>Swit/inner/branch.py
from Swit.common.exceptions import BranchNameExistsError, CommitRequiredError
from loguru import logger
def does_branch_exist(branch_name: str) -> bool:
"""Returns True if there's already a branch with the given name."""
lines = path_to.references.read_text().split("\n")
fo... | 3.125 | 3 |
utils/bleu_metric/__init__.py | arfu2016/DuReader | 0 | 12774050 | __author__ = 'tylin'
# from .bleu import Bleu
#
# __all__ = ['Bleu']
| 1.101563 | 1 |