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 |
|---|---|---|---|---|---|---|
gitools/modules/restore_backup.py | AliRezaBeigy/Gitools | 6 | 12784851 | from ..module import Module
class RestoreBackupModule(Module):
def process(self):
Module.restoreBackup()
@staticmethod
def getFlag():
return "rb"
@staticmethod
def getName():
return "Restore Backup"
@staticmethod
def getDescription():
return ""
def i... | 2.421875 | 2 |
Lesson16/api.py | IslamRaslambekov/HomeWork | 0 | 12784852 | import requests
from pprint import pprint
def find_vacancies(parameters):
URL = 'https://www.cbr-xml-daily.ru/daily_json.js'
response = requests.get(URL).json()
usd_rate = response['Valute']['USD']['Value']
euro_rate = response['Valute']['EUR']['Value']
URL_HH = 'https://api.hh.ru/vacancies'
... | 3.09375 | 3 |
homeassistant/components/flux_led/discovery.py | gptubpkCsHKzjC8fKcRXUdK6SbECPM49P5Xu46U/core | 1 | 12784853 | <filename>homeassistant/components/flux_led/discovery.py
"""The Flux LED/MagicLight integration discovery."""
from __future__ import annotations
import asyncio
import logging
from flux_led.aioscanner import AIOBulbScanner
from flux_led.const import ATTR_ID, ATTR_IPADDR, ATTR_MODEL, ATTR_MODEL_DESCRIPTION
from flux_le... | 2.21875 | 2 |
executor/meta/env_var.py | asyre/bachelor_degree | 0 | 12784854 | import os
from typing import Optional
def is_env_var(value: str) -> bool:
return value.startswith("$")
def extract_env_var(value: str) -> Optional[str]:
return os.environ[value[1:]]
def must_extract_env_var(value: str) -> str:
env = extract_env_var(value)
if env is None:
raise MissingEnvVa... | 3.078125 | 3 |
train.py | yutong-xie/Depth-Estimation-based-on-CNN | 0 | 12784855 | import os
import numpy as np
import torch
import torch.nn as nn
import torchvision
import PIL
from torchvision import transforms
from sklearn.metrics import average_precision_score
from PIL import Image, ImageDraw
import matplotlib.pyplot as plt
from nyu_dataloader import LoadData, NYUDataset
from model import CoarseN... | 2.09375 | 2 |
job/SLURM/Opuntia.py | martintb/typyQ | 0 | 12784856 | <reponame>martintb/typyQ<filename>job/SLURM/Opuntia.py
from SLURM import SLURMJob
class OpuntiaJob(SLURMJob):
#no specialization needed!
pass
| 1.257813 | 1 |
ddpcr/app/urls.py | clinical-genomics-uppsala/where_my_assys_at | 0 | 12784857 | from django.urls import path
from . import views
urlpatterns = [
path('', views.Index.as_view(), name='index'),
path('assays/', views.AssayList.as_view(), name='assays'),
path('assays/create/', views.AssayCreate.as_view(), name='assay-create'),
path('assays/upload/', views.AssaysCreate.as_view(), nam... | 1.898438 | 2 |
wards/forms.py | Naomi-sigu/awwwards | 1 | 12784858 | <filename>wards/forms.py<gh_stars>1-10
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from .models import Profile, Projects
class UpdateUser(forms.ModelForm):
email = forms.EmailField()
class Meta:
model = User
fields = ['username... | 2.015625 | 2 |
dm_irods/list.py | sara-nl/surfsara-dmf-irods-client | 2 | 12784859 | <reponame>sara-nl/surfsara-dmf-irods-client
import sys
import atexit
import json
import time
from argparse import ArgumentParser
from .socket_server.client import Client
from .socket_server.server import ReturnCode
from .server import ensure_daemon_is_running
from .server import DmIRodsServer
from .cprint import termin... | 2.234375 | 2 |
dianping/dianping/spiders/dpBaseSpider.py | MircroCode/dpSpider | 0 | 12784860 | #!/usr/local/bin/python
#-*-coding:utf8-*-
__author__ = 'youjiezeng'
import random
from scrapy.spider import BaseSpider
from scrapy.spider import Spider
from scrapy.contrib.spiders import CrawlSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
from scrapy.http import Response
from scra... | 2.671875 | 3 |
google/colab/_import_magics.py | figufema/TesteClone | 1,521 | 12784861 | <filename>google/colab/_import_magics.py
# Copyright 2020 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 2.109375 | 2 |
fits2png_example/primitives/simple_fits_reader.py | Keck-DataReductionPipelines/keckdrpframework | 0 | 12784862 | """
Example to read a FITS file.
Created on Jul 9, 2019
Be aware that hdus.close () needs to be called to limit the number of open files at a given time.
@author: skwok
"""
import astropy.io.fits as pf
from astropy.utils.exceptions import AstropyWarning
import warnings
import numpy as np
from keckdrpframework.mode... | 3.015625 | 3 |
ax1500-poc.py | marcnewlin/ax1500-crypto-client | 14 | 12784863 | <reponame>marcnewlin/ax1500-crypto-client<gh_stars>10-100
#!/usr/bin/env python3
import base64
import binascii
import hashlib
import json
import logging
import re
import requests
from Crypto.Cipher import AES, PKCS1_v1_5
from Crypto.PublicKey import RSA
from pprint import pprint
ROUTER_HOST = "192.168.0.1"
ROUTER_PAS... | 2.546875 | 3 |
Exercises.py | KA-Advocates/KATranslationCheck | 1 | 12784864 | <filename>Exercises.py
#!/usr/bin/env python3
"""
Utilities regarding KA exercises
"""
import re
import os
from collections import defaultdict
def findFilenameToExercisesMapping(lang="de"):
"""
Find a map from filepath to a set of exercises.
The links are extracted mainly from the tcomment section.
"""... | 2.875 | 3 |
meldnafen/retroarch.py | cecton/meldnafen | 0 | 12784865 | <reponame>cecton/meldnafen<gh_stars>0
import re
from tempfile import NamedTemporaryFile
def prepare(command, controls, settings):
with NamedTemporaryFile('wt', prefix='retroarch-', delete=False) as fh:
for player, player_controls in sorted(controls.items()):
write_retroarch_controls(fh, player... | 2.359375 | 2 |
scripts/experiment/__unfinished_gan_like_model/pytorch_stuff/models/timg_denoise.py | shantanu-gupta/spad-timg-denoise | 0 | 12784866 | """ timg_denoise.py
"""
import numpy as np
import torch
import torch.nn as nn
class Timg_DenoiseNet_LinT_1Layer(nn.Module):
def __init__(self):
super(Timg_DenoiseNet_LinT_1Layer, self).__init__()
self.C = 64
self.K = 13
self.centre = 3/255.0
self.scale = 2.0
self.c... | 2.296875 | 2 |
netconf/nc_rpc/base/get.py | Balaji-P/voltha_docker_compose-rsk_tech_CKAD | 0 | 12784867 | #!/usr/bin/env python
#
# Copyright 2016 the original author or 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 require... | 1.960938 | 2 |
astar.py | AP-Atul/SnakeAI | 2 | 12784868 | from queue import PriorityQueue
from components import *
class AStar:
"""
A star algorithm implementation
f(n) = g(n) + h(n)
"""
def __init__(self):
self.paths = [
KEY_RIGHT,
KEY_LEFT,
KEY_UP,
KEY_DOWN
]
self.invalid = {
... | 3.953125 | 4 |
examples/kmeans.py | 7enTropy7/ravml | 7 | 12784869 | <reponame>7enTropy7/ravml
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from ravml.cluster import KMeans
if __name__ == '__main__':
k = KMeans()
iris = load_iris()
X = iris.data[:1000]
y = iris.target[:1000]
X_train, X_test, y_train, y_test = train_t... | 2.484375 | 2 |
docs/new-pandas-doc/generated/pandas-DataFrame-plot-bar-3.py | maartenbreddels/datapythonista.github.io | 0 | 12784870 | <reponame>maartenbreddels/datapythonista.github.io<filename>docs/new-pandas-doc/generated/pandas-DataFrame-plot-bar-3.py<gh_stars>0
axes = df.plot.bar(rot=0, subplots=True)
axes[1].legend(loc=2) # doctest: +SKIP
| 2.109375 | 2 |
anuvaad-etl/anuvaad-extractor/content-handler/src/db/connection_manager.py | srihari-nagaraj/anuvaad | 0 | 12784871 | from config import MONGO_CONNECTION_URL,MONGO_DB_SCHEMA
from config import REDIS_SERVER_HOST,REDIS_SERVER_PORT
from app import server
from pymongo import MongoClient
from anuvaad_auditor.loghandler import log_info, log_exception
from utilities import AppContext
from flask import g
import redis
client = MongoClient(MONG... | 2.265625 | 2 |
forum/models.py | hann1010/simpleforum_test | 0 | 12784872 | <filename>forum/models.py
from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
from ckeditor.fields import RichTextField
class Forum_post(models.Model):
title = models.CharField(max_length=100, blank=False)
post_type = models.CharField(max_length=100, blank... | 2.40625 | 2 |
data_loader/data_loaders.py | lizhogn/cellpose | 1 | 12784873 | <reponame>lizhogn/cellpose
from torchvision import datasets, transforms
from base import BaseDataLoader
from data_loader import cell_datasets
class CellDataLoader(BaseDataLoader):
"""
Cell data loading demo using BaseDataLoader
"""
def __init__(self, data_dir, batch_size, shuffle=True, validation_split... | 2.828125 | 3 |
corpora/tng_scripts/tng_scripts.py | galtay/word-to-vec | 1 | 12784874 | <gh_stars>1-10
from collections import Counter
import json
import string
import numpy as np
class TngScripts:
def __init__(self, file_path):
with open(file_path, 'r') as fp:
self._scripts = json.load(fp)
def iter_sentences(self):
for episode in self._scripts:
for sent ... | 2.515625 | 3 |
project/project_files_Sylwia/student_utils.py | SylwiaNowakowska/Patient_Selection_for_Diabetes_Drug_Testing | 0 | 12784875 | <filename>project/project_files_Sylwia/student_utils.py
import pandas as pd
import numpy as np
import os
import tensorflow as tf
from sklearn.model_selection import GroupShuffleSplit
import functools
####### STUDENTS FILL THIS OUT ######
#Question 3
def reduce_dimension_ndc(df, ndc_df):
'''
df: pandas datafram... | 2.984375 | 3 |
main.py | devashishupadhyay/ml-covid-19 | 1 | 12784876 | <reponame>devashishupadhyay/ml-covid-19
from core.covid import pred
model = pred('Model/model.sav','covid19-features-df/covid_19_strain.pkl')
print(model.predict()) | 1.804688 | 2 |
examples/composite_keys/testdata.py | NeolithEra/Flask-AppBuilder | 3,862 | 12784877 | import logging
from app import db
from app.models import Inventory, Datacenter, Rack, Item
import random
import string
from datetime import datetime
log = logging.getLogger(__name__)
DC_RACK_MAX = 20
ITEM_MAX = 1000
cities = ["Lisbon", "Porto", "Madrid", "Barcelona", "Frankfurt", "London"]
models = ["Server MX", "S... | 2.65625 | 3 |
host.py | JinlongWukong/DevLab-ansible | 0 | 12784878 | from ansible_task_executor import AnsibleTaskExecutor
import os
class HOST(object):
def __init__(self, ip, user, password, subnet=None, role=None):
self.ip = ip
self.user = user
self.password = password
self.role = role
self.cpu = None
self.memory = None
se... | 2.296875 | 2 |
jams/tcherkez.py | MuellerSeb/jams_python | 9 | 12784879 | #!/usr/bin/env python
from __future__ import division, absolute_import, print_function
import numpy as np
import jams.const as const
def tcherkez(Rstar, Phi=0.3, T=0.056,
a2=1.0012, a3=1.0058, a4=1.0161,
t1=0.9924, t2=1.0008, g=20e-3,
RG=False, Rchl=False, Rcyt=False, fullmodel=T... | 1.898438 | 2 |
architectures/providers/kubernetes/controlplane.py | marinmuso/architectures | 15 | 12784880 | # Do not modify this file directly. It is auto-generated with Python.
from architectures.providers import _Kubernetes
class _Controlplane(_Kubernetes):
_service_type = "controlplane"
_icon_dir = "icons/kubernetes/controlplane"
class Sched(_Controlplane):
_icon = "sched.png"
_default_label = "Sched"
... | 1.570313 | 2 |
glsl/glsl_translate.py | avr-aics-riken/SURFACE | 10 | 12784881 | <reponame>avr-aics-riken/SURFACE
#!/usr/bin/env python
#
# TODO:
# o Support array(swizzle) much more cleaner manner.
# o and more...
#
import os
import os.path
import subprocess
import sys
import tempfile
from string import Template
from sexps import *
gSlotToN = {
'x': 0, 'y': 1, 'z': 2, 'w': 3
}
gNToSlo... | 2.203125 | 2 |
lopi/descriptors/regex_validation.py | QristaLabs/LOPi | 0 | 12784882 | import re
import typing as t
from .typed import StringTyped
class RegexDescriptor(StringTyped):
def __init__(self, *args, pattern: t.Union[str, re.Pattern], **kwargs) -> None:
super().__init__(*args, **kwargs)
if isinstance(pattern, str):
pattern = re.compile(pattern)
self.p... | 3.03125 | 3 |
Core/DivideExamples.py | rothadamg/UPSITE | 1 | 12784883 | <filename>Core/DivideExamples.py
"""
Pseudorandomly distributed subsets
"""
__version__ = "$Revision: 1.4 $"
import Split
import sys
def getDocumentId(idString):
return idString.rsplit(".",2)[0]
def getIdFromLine(line):
assert(line.find("#") != -1)
return line.split("#")[-1].strip()
def getDocumentIds(f... | 2.671875 | 3 |
setup.py | mcx/deep_ope | 64 | 12784884 | <gh_stars>10-100
# Copyright 2020 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 of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed t... | 0.976563 | 1 |
test/test_invertible_1x1_conv.py | AI-Huang/glow-pytorch | 0 | 12784885 | <filename>test/test_invertible_1x1_conv.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : Aug-04-21 21:43
# @Author : <NAME> (<EMAIL>)
import torch
import torch.nn.functional as F
from models.glow.invertible_1x1_conv import Invertible_1x1_Conv
def invertible_1x1_conv_test():
"""
Test cases:
... | 2.84375 | 3 |
moderngl_window/capture/__init__.py | sheepman4267/moderngl-window | 12 | 12784886 | <reponame>sheepman4267/moderngl-window<gh_stars>10-100
from .base import BaseVideoCapture # noqa
from .ffmpeg import FFmpegCapture # noqa
| 0.882813 | 1 |
code/119.Pascal's-Triangle-II.py | Aden-Q/leetcode | 1 | 12784887 | <gh_stars>1-10
class Solution:
def getRow(self, rowIndex: int) -> List[int]:
if rowIndex == 0:
return [1]
cur = [1, 1]
next_row = cur
for i in range(1, rowIndex):
next_row = [1]
for j in range(i):
next_row.append(cur[j] + cur[j+1])
... | 3.046875 | 3 |
mesh_transformer/layers.py | VE-FORBRYDERNE/mesh-transformer-jax | 2 | 12784888 | <filename>mesh_transformer/layers.py
import haiku as hk
import jax
import jax.numpy as jnp
import numpy as np
from mesh_transformer.util import f_psum, g_psum, maybe_shard, head_print
from jax.experimental import PartitionSpec as P
from jax.experimental.maps import thread_resources
class ReplicatedLayerNorm(hk.Modul... | 1.84375 | 2 |
app/tasksmodule/__init__.py | sanketsaurav/personfinder | 0 | 12784889 | <filename>app/tasksmodule/__init__.py
# TODO(nworden): rename this module to just "tasks" once tasks.py is emptied and
# deleted.
| 1.4375 | 1 |
fhir/resources/DSTU2/substance.py | cstoltze/fhir.resources | 144 | 12784890 | # -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/DSTU2/substance.html
Release: DSTU2
Version: 1.0.2
Revision: 7202
"""
from typing import List as ListType
from pydantic import Field
from . import domainresource, fhirtypes
from .backboneelement import BackboneElement
class Substance(domainresource.DomainReso... | 2.09375 | 2 |
hrs/utils/rest.py | coyotevz/hrs | 0 | 12784891 | <reponame>coyotevz/hrs<filename>hrs/utils/rest.py
# -*- coding: utf-8 -*-
"""
utils.rest
~~~~~~~~~~~~
Provides tools for building REST interfaces.
primary function built_result().
Limitations:
- Only work for simple queries agains one model.
Depends on:
- SQLAlchemy
- Flask
-... | 2.390625 | 2 |
src/bitcaster/middleware/i18n.py | bitcaster-io/bitcaster | 4 | 12784892 | from django.utils import translation
from bitcaster.config import settings
from bitcaster.utils.language import get_attr
class UserLanguageMiddleware:
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
if request.user and request.user.is_authentic... | 2.046875 | 2 |
Experiment Processing/experiment2/count_picked_songs_per_playlist.py | Austaon/GroupRecommendationThesis | 0 | 12784893 | <reponame>Austaon/GroupRecommendationThesis<filename>Experiment Processing/experiment2/count_picked_songs_per_playlist.py<gh_stars>0
import statistics
import matplotlib.pyplot as plt
from database.session import Session
def parse_int(playlist_string):
return int(''.join(filter(str.isdigit, playlist_string)))
d... | 3.359375 | 3 |
cmr_localization/scripts/generate_db_name.py | MarvinStuede/cmr_localization | 0 | 12784894 | #!/usr/bin/env python
import time
import sys
millis = int(round(time.time() * 1000))
sys.stdout.write("~/.ros/rtabmap_test_" + str(millis)+ '.db')
| 1.664063 | 2 |
strops/schemes/admin.py | ckoerber/strops | 1 | 12784895 | """Admin pages for schemes models.
On default generates list view admins for all models
"""
from django.contrib.admin import StackedInline, register
from espressodb.base.admin import register_admins
from espressodb.base.admin import ListViewAdmin as LVA
from strops.schemes.models import (
ExpansionScheme,
Ex... | 1.804688 | 2 |
setup.py | Sage-Bionetworks/synapsemonitor | 4 | 12784896 | """Setup"""
import os
from setuptools import setup, find_packages
# figure out the version
# about = {}
# here = os.path.abspath(os.path.dirname(__file__))
# with open(os.path.join(here, "synapsemonitor", "__version__.py")) as f:
# exec(f.read(), about)
with open("README.md", "r") as fh:
long_description = fh... | 1.5625 | 2 |
pipeline_prepare_db.py | TobiasKoopmann/airankings | 0 | 12784897 | import urllib.request
import shutil
import gzip
import json
import re
import os
from collections import defaultdict
from scholarmetrics import hindex
from tqdm import tqdm
from app.dblp_parser import parse_dblp, parse_dblp_person, get_dblp_country
from app.myfunctions import get_dblp_url
URL = 'http://dblp.org/xml/'... | 2.765625 | 3 |
codes/data/LQGT_dataset_3d.py | LCM1999/VolumeRescaling | 4 | 12784898 | import random
import numpy as np
import cv2
import torch
import torch.utils.data as data
import logging
from . import util
class LQGTDataset3D(data.Dataset):
'''
Read LQ (Low Quality, here is LR) and GT vti file pairs.
If only GT image is provided, generate LQ vti on-the-fly.
The pair is ensured by '... | 2.15625 | 2 |
rl/wrench_rl.py | yifan-you-37/ScaffoldLearning | 5 | 12784899 | import multiprocessing
import threading
import numpy as np
import os
import shutil
import matplotlib.pyplot as plt
import sys
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.multiprocessing as mp
from shared_adam import SharedAdam
import math, os
import cv2
import torchvi... | 2.15625 | 2 |
loginsystem.py | TaylorJonesTRT/Loginsystem | 0 | 12784900 | import json
import sys
import hashlib
user_details = {}
hasher = hashlib.sha256()
with open('user_credentials.json', 'r') as f:
user_details = json.load(f)
while True:
print("Welcome to the new and sophisticated login system!")
choice = input("What would you like to do? \n [1]LOGIN \n [2]REGISTER \n")... | 3.625 | 4 |
991_cnn_godata_mobilenetv2_transfer_learning_with_data_augmentation_classifier.py | lao-tseu-is-alive/tensorflow2-tutorial | 0 | 12784901 | <reponame>lao-tseu-is-alive/tensorflow2-tutorial
import pathlib
import matplotlib.pyplot as plt
import numpy as np
import os
# next line is to limit tensorflow verbose output
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflo... | 2.9375 | 3 |
mowgli_etl/loader/_kg_edge_loader.py | tetherless-world/mowgli | 4 | 12784902 | <reponame>tetherless-world/mowgli<gh_stars>1-10
from abc import abstractmethod
from mowgli_etl._loader import _Loader
from mowgli_etl.model.kg_edge import KgEdge
class _KgEdgeLoader(_Loader):
@abstractmethod
def load_kg_edge(self, edge: KgEdge):
raise NotImplementedError
| 2.03125 | 2 |
jaxopt/_src/base.py | mblondel/jaxopt | 0 | 12784903 | <reponame>mblondel/jaxopt
# Copyright 2021 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 of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 2.421875 | 2 |
tests/oldtests/dm2_download_megatest.py | ctb/pygr | 2 | 12784904 | # test via
# python protest.py dm2_download_megatest.py
from pygr import nlmsa_utils
import pygr.Data
import os, tempfile, time
def rm_recursive(top):
'recursively remove top and everything in it!'
for root, dirs, files in os.walk(top, topdown=False):
for name in files:
os.remove(os.path.j... | 2.515625 | 3 |
StockAnalysisSystem/core/interface_util.py | lifg2000/StockAnalysisSystem | 0 | 12784905 | from .AnalyzerEntry import StrategyEntry, AnalysisResult
from StockAnalysisSystem.core.Utiltity.task_future import *
from StockAnalysisSystem.core.DataHubEntry import DataHubEntry
# For core.interface, without ui.
class SasAnalysisTask(TaskFuture):
def __init__(self, strategy_entry: StrategyEntry, data_hub: Data... | 2.234375 | 2 |
string_algorithms/utils.py | mhozza/string_algorithms | 6 | 12784906 | from math import floor, log2
from operator import itemgetter
def argmin(*args):
if len(args) == 1:
iterable = args[0]
else:
iterable = args
return min((j, i) for i, j in enumerate(iterable))[1]
def greatest_pow2(n):
return 2 ** floor(log2(n))
def inverse_index(a):
return {v: k ... | 3.234375 | 3 |
test1.py | jeffhawk/pythontraining | 0 | 12784907 | <filename>test1.py
import sys
if sys.version_info[0] >= 3:
import PySimpleGUI as sg
else:
import PySimpleGUI27 as sg
def MachineLearningGUI():
sg.SetOptions(text_justification='right')
flags = [[sg.Checkbox('Normalize', size=(12, 1), default=True), sg.Checkbox('Verbose', size=(20, 1))],
[sg.Checkb... | 2.5 | 2 |
setup.py | XertroV/nvblib | 3 | 12784908 | <gh_stars>1-10
from distutils.core import setup
setup(
name='nvblib',
version='0.0.1',
packages=['nvblib', 'nvblib.instructions'],
url='https://github.com/XertroV/nvblib',
license='MIT',
author='XertroV',
author_email='<EMAIL>',
description='core library for nvb objects'
)
| 1.179688 | 1 |
venv/lib/python2.7/site-packages/lettuce/plugins/scenario_names.py | GrupoMazoGuay/final | 0 | 12784909 | # -*- coding: utf-8 -*-
# <Lettuce - Behaviour Driven Development for python>
# Copyright (C) <2010-2012> <NAME> <<EMAIL>>
#
# This program 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 ... | 2.15625 | 2 |
dcp/003/solution.py | dantin/poj | 0 | 12784910 | <reponame>dantin/poj
# -*- coding: utf-8 -*-
class Node():
def __init__(self, val, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution():
def deserialize(self, data):
def decode(vals):
val = next(vals)
if val == ... | 3.15625 | 3 |
automation/read_config_file.py | ominocutherium/gamejam-skeleton-project | 0 | 12784911 | #!/usr/bin/env python3
# MIT License
#
# Copyright (c) 2021 ominocutherium
#
# 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 righ... | 1.742188 | 2 |
common/config_parser/config_dto.py | Softeq/PyCats | 7 | 12784912 | <filename>common/config_parser/config_dto.py
from dataclasses import dataclass
@dataclass
class APIValidationDTO:
check_status_code: bool
check_headers: bool
check_body: bool
check_is_field_missing: bool
@dataclass
class WebDriverSettingsDTO:
webdriver_folder: str
default_wait_time: int
... | 1.796875 | 2 |
apps/about/models.py | glenjasper/cobija-web | 0 | 12784913 | <reponame>glenjasper/cobija-web
from django.db import models
from auditlog.registry import auditlog
class About(models.Model):
title = models.CharField(max_length = 100, verbose_name = 'Title', help_text = "It's not used, it's only referential.")
description = models.TextField(verbose_name = 'Description', hel... | 2.125 | 2 |
mep/people/tests/test_people_commands.py | making-books-ren-today/test_eval_3_shxco | 3 | 12784914 | <reponame>making-books-ren-today/test_eval_3_shxco
import datetime
from io import StringIO
from django.test import TestCase
from mep.accounts.models import Event
from mep.people.management.commands import export_members
from mep.people.models import Person
class TestExportMembers(TestCase):
fixtures = ['sample_... | 2.328125 | 2 |
server/swagger_server/test/test_notification_controller.py | kakwa/certascale | 0 | 12784915 | <reponame>kakwa/certascale<gh_stars>0
# coding: utf-8
from __future__ import absolute_import
from flask import json
from six import BytesIO
from swagger_server.models.default_error import DefaultError # noqa: E501
from swagger_server.models.default_message import DefaultMessage # noqa: E501
from swagger_server.mod... | 1.859375 | 2 |
codeforces/1111A/solution.py | yhmin84/codeforces | 0 | 12784916 |
# https://codeforces.com/problemset/problem/1111/A
vowels = set(["a", "e", "i", "o", "u"])
def can_partial_transform(c1, c2):
if (c1 in vowels and c2 in vowels) or (c1 not in vowels and c2 not in vowels):
return True
return False
def can_transform(hero1, hero2):
hero1_len = len(hero1)
if her... | 4.03125 | 4 |
test4.py | Ticlext-Altihaf/Absen-Kamera | 0 | 12784917 | <filename>test4.py
from deepface import DeepFace
DeepFace.stream() | 1.039063 | 1 |
development/modules/auxiliary_career_decision_data.py | tobiasraabe/respy_for_ma | 0 | 12784918 | <filename>development/modules/auxiliary_career_decision_data.py
"""This module contains the auxiliary function for the data transformation."""
import numpy as np
import pandas as pd
from respy.python.shared.shared_constants import TEST_RESOURCES_DIR
def prepare_dataset():
"""Convert the raw dataset to a DataFram... | 3.09375 | 3 |
corefacility/authorizations/google/entity/authorization_token/authorization_token.py | serik1987/corefacility | 0 | 12784919 | <reponame>serik1987/corefacility
from core.entity.external_authorization_token import ExternalAuthorizationToken
from core.entity.entity_fields import ReadOnlyField, ManagedEntityField
from .authorization_token_set import AuthorizationTokenSet
from .model_provider import ModelProvider
from .mock_provider import MockPr... | 2.921875 | 3 |
fabric_bolt/projects/migrations/0003_auto_20150911_1911.py | jooni22/fabric-bolt | 219 | 12784920 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('hosts', '0002_sshconfig'),
('projects', '0002_auto_20140912_1509'),
]
operations = [
migrations.AddField(
... | 1.71875 | 2 |
utils/download_data.py | ialifinaritra/Music_Generation | 0 | 12784921 | import urllib.request
DIR_PATH = '../data/'
def download_music(output_path):
midiFile_l = ['cs1-2all.mid', 'cs5-1pre.mid', 'cs4-1pre.mid', 'cs3-5bou.mid', 'cs1-4sar.mid', 'cs2-5men.mid',
'cs2-3cou.mid', 'cs1-6gig.mid', 'cs6-4sar.mid', 'cs4-5bou.mid', 'cs4-3cou.mid', 'cs5-3cou.mid',
... | 2.859375 | 3 |
src/stock_data_provider/cn_a/__init__.py | stonewell/learn-curve | 0 | 12784922 | #load stock data from vip data for cn_a
from .vip_dataset import load_stock_data
| 1 | 1 |
ppgan/metric/metric_util.py | ZMpursue/PaddleGAN | 4 | 12784923 | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
# 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 appl... | 2.5 | 2 |
run_gps_master.py | MarieNyst/GPS | 4 | 12784924 | import time
import random
import os
from GPS import gps
from GPS import redisHelper
from GPS import helper
from GPS import args
from GPS import postProcess
# Parse the command line arguments, then, if provided, parse the arguments in
# the scenario file. Then adds default values for paramaters without definitions
# ... | 2.734375 | 3 |
main.py | Deepkk-9/phdc-discord-bot | 0 | 12784925 | <reponame>Deepkk-9/phdc-discord-bot
#Imports
import discord
import os
import requests
import json
import random
import urllib
from replit import db
from keep_alive import keep_alive
#Variables
client = discord.Client()
bad_words = [
"Fuck", "fuck", "Fuck You", "Shit", "Piss off", "Fuck off", "Dick head",
"As... | 2.734375 | 3 |
tests/test_helper.py | JimBoonie/hydra | 28 | 12784926 | <filename>tests/test_helper.py
"""
Helper methods for unit testing.
"""
REPEAT = 100
| 1.15625 | 1 |
server/demon/matching.py | jphacks/TK_1814 | 1 | 12784927 | import sys
sys.path.append('/home/kenta/pinky')
from itertools import groupby
import time
from database import session
from model import Motion, Promise
def run_loop():
while True:
filepath = '/home/kenta/pinky/demon/test.log'
log_file = open(filepath,'a')
matching()
try:
... | 2.34375 | 2 |
tests/snippets/type_hints.py | janczer/RustPython | 0 | 12784928 |
# See also: https://github.com/RustPython/RustPython/issues/587
def curry(foo: int) -> float:
return foo * 3.1415926 * 2
assert curry(2) > 10
| 2.28125 | 2 |
lib/gstreamer/util.py | yefengxx/vaapi-fits | 0 | 12784929 | <reponame>yefengxx/vaapi-fits
###
### Copyright (C) 2021 Intel Corporation
###
### SPDX-License-Identifier: BSD-3-Clause
###
from ...lib.common import memoize, try_call
@memoize
def have_gst():
return try_call("which gst-launch-1.0") and try_call("which gst-inspect-1.0")
@memoize
def have_gst_element(element):
r... | 1.976563 | 2 |
mudi/dispatcher.py | daturkel/mudi | 0 | 12784930 | <filename>mudi/dispatcher.py
import logging
from pathlib import Path
import watchgod
from .site import Site
from .utils import rel_name
from .watcher import MudiWatcher
class MudiDispatcher:
def __init__(self, site: Site):
self.site = site
def _dispatch(self, change_type: watchgod.Change, path: Path... | 2.109375 | 2 |
ports/core/port.py | yzgyyang/portcran | 1 | 12784931 | """Classes describing a FreeBSD Port and the various structures."""
from abc import ABCMeta, abstractmethod
from io import StringIO
from itertools import groupby
from math import ceil, floor
from pathlib import Path
from typing import (Any, Callable, Dict, Generic, IO, Iterable, Iterator, List, Optional, Set, Tuple, Ty... | 2.453125 | 2 |
jumpscale/tools/wireguard/__init__.py | zaibon/js-sdk | 13 | 12784932 | <reponame>zaibon/js-sdk
import binascii
from nacl import public
from nacl.encoding import Base64Encoder
from nacl.signing import VerifyKey
def generate_zos_keys(node_public_key):
"""Generate a new set of wireguard key pair and encrypt
the private side using the public key of a 0-OS node.
Args:
... | 2.21875 | 2 |
6 kyu/Madhav array.py | mwk0408/codewars_solutions | 6 | 12784933 | def is_madhav_array(arr):
if len(arr)<=1:
return False
low=1
high=3
increment=3
compare=arr[0]
while high<=len(arr):
if sum(arr[low:high])!=compare:
return False
low, high=high, high+increment
increment+=1
return True if (high-increment+1)==len(arr... | 3.609375 | 4 |
stacks/constructs/api.py | juliuskrahn-com/backend | 0 | 12784934 | <reponame>juliuskrahn-com/backend
import aws_cdk.core
import aws_cdk.aws_apigateway as apigw
import aws_cdk.aws_lambda as lambda_
import aws_cdk.aws_dynamodb as dynamodb
import aws_cdk.aws_secretsmanager as sm
import aws_cdk.aws_logs as logs
from .. import Environment
from stacks.stack_utils import to_camel_case
clas... | 1.851563 | 2 |
webapp/main/migrations/0009_auto_20140321_1349.py | joepetrini/bike-counter | 5 | 12784935 | <filename>webapp/main/migrations/0009_auto_20140321_1349.py
# encoding: utf8
from django.db import models, migrations
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
('main', '0008_survey_value'),
]
operations = [
migrations.... | 1.710938 | 2 |
tests/test_extractor.py | Edinburgh-Genome-Foundry/easy_dna | 6 | 12784936 | import os
import pytest
import numpy as np
import easy_dna as dna
def test_extract_from_input(tmpdir):
parts = []
for i in range(10):
part_id = "part_%s" % ("ABCDEFGHAB"[i]) # id is nonunique on purpose
alias = "part_%d" % i # alias is unique
part_length = np.random.randint(1000, 150... | 2.1875 | 2 |
backend/apps/workOrder/migrations/0006_auto_20211130_0131.py | jorgejimenez98/auditorio-django-react | 0 | 12784937 | # Generated by Django 3.2.7 on 2021-11-30 00:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('workOrder', '0005_remove_workorder_forg'),
]
operations = [
migrations.AddField(
model_name='workorder',
name='FORG'... | 1.53125 | 2 |
benchmarks/query_benchmarks/query_delete_related/benchmark.py | deepakdinesh1123/actions | 0 | 12784938 | from ...utils import bench_setup
from .models import Artist, Song
class QueryDeleteRel:
def setup(self):
bench_setup(migrate=True)
self.a1 = Artist.objects.create(name="abc")
self.a2 = Artist.objects.create(name="abc")
self.a3 = Artist.objects.create(name="abc")
self.a4 = A... | 2.515625 | 3 |
src/posts/migrations/0003_auto_20170327_1306.py | ChrisMunene/Blog | 0 | 12784939 | <filename>src/posts/migrations/0003_auto_20170327_1306.py
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2017-03-27 10:06
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependenci... | 1.539063 | 2 |
__init__.py | daqbroker/daqbrokerServer | 0 | 12784940 | from daqbrokerServer.daqbroker import Server | 1.054688 | 1 |
examples/text_scroll.py | paddywwoof/python-sense-hat | 104 | 12784941 | <reponame>paddywwoof/python-sense-hat<gh_stars>100-1000
#!/usr/bin/python
from sense_hat import SenseHat
sense = SenseHat()
sense.set_rotation(180)
red = (255, 0, 0)
sense.show_message("One small step for Pi!", text_colour=red)
| 1.992188 | 2 |
python/athena/__init__.py | sj1104/Het | 2 | 12784942 | <gh_stars>1-10
from __future__ import absolute_import
from .gpu_links import *
from .gpu_ops import *
from .stream import *
| 1.078125 | 1 |
blog/admin.py | abhishekBhartiProjects/learnLanguageDjango | 0 | 12784943 | from django.contrib import admin
# Register your models here.
from blog.models import Post
admin.site.register(Post)
| 1.289063 | 1 |
pyresourcepool/pyresourcepool.py | bensonrodney/pyresourcepool | 0 | 12784944 | #!/usr/bin/env python3
""" Basic python object resource pool.
"""
import copy
import time
import traceback
from threading import RLock, Thread
from contextlib import contextmanager
# Callback attribute name when adding a return callback to an object
CALLBACK_ATTRIBUTE = 'resource_pool_return_callback'
class AllRes... | 3.625 | 4 |
src/scripts/rPi/main.py | MarkintoshZ/Self-Driving-Pi | 2 | 12784945 | <filename>src/scripts/rPi/main.py
import numpy as np
from PIL import Image
import os
from os import system as sys
from keras.models import load_model
import keras
from replay import ExperienceReplay
import random
import time
import cv2
import drive
# Get a reference to webcam #0 (the default one)
video_capture = cv2.... | 2.65625 | 3 |
tests/ibllib/test_atlas.py | SebastianBruijns/ibllib | 0 | 12784946 | <reponame>SebastianBruijns/ibllib
import unittest
import numpy as np
from ibllib.atlas import BrainCoordinates, sph2cart, cart2sph, Trajectory, Insertion
class TestInsertion(unittest.TestCase):
def test_init(self):
d = {
'label': 'probe00',
'x': 544.0,
'y': 1285.0,
... | 2.65625 | 3 |
train.py | pandeydeep9/Attentive-Neural-Process | 0 | 12784947 | <gh_stars>0
from tqdm import tqdm
from network import LatentModel
from tensorboardX import SummaryWriter
import torchvision
import torch as t
from torch.utils.data import DataLoader
from preprocess import collate_fn
import os
def adjust_learning_rate(optimizer, step_num, warmup_step=4000):
lr = 0.001 * warmup_step... | 2.171875 | 2 |
examples/jsonrpc_server/jsonrpc_server.py | podhmo/toybox | 3 | 12784948 | # -*- coding:utf-8 -*-
import logging
from toybox.simpleapi import run
from pyramid_rpc.jsonrpc import jsonrpc_method
# please: pip install pyramid_rpc
# see also: http://docs.pylonsproject.org/projects/pyramid_rpc/en/latest/jsonrpc.html
"""
python ./jsonrpc_server.py
$ echo '{"id": "1", "params": {"name": "foo"}, "me... | 2.5 | 2 |
fake_count/templatetags/fake_count_tmpl.py | iterweb/django_fake_counter | 1 | 12784949 | <filename>fake_count/templatetags/fake_count_tmpl.py
from django.template import Library
from random import randint
from datetime import datetime
from fake_count.app_settings import DAY, NIGHT
register = Library()
night = 235922861933
morning = 100129385257
current_time = str(datetime.now().time()).replace(':', '').... | 2.5 | 2 |
Examen/pandas_example - copia.py | jansforte/Inteligencia-Artificial | 0 | 12784950 | <filename>Examen/pandas_example - copia.py
import pandas as pd
Datos = pd.DataFrame({"hora": ["0.29 [0.15-0.48]", "6.586 [0.15-0.48]", "9800 [10-200]", "3 [10-200]", "6.586 [0.15-0.48]"]})
Datos["hora"] = Datos["hora"].str.extract(r"(.*\d\s)")
print(Datos) | 3.578125 | 4 |