content stringlengths 5 1.05M |
|---|
import os
from helpers import d2df
import numpy as np
def filenames(project_path):
#project_path = os.path.realpath('..')
#project_path = os.path.dirname(os.path.realpath(__file__))
#project_path = project_path + os.sep + ".."
output = {}
# Input files
output["dataset_raw"] = project_path + o... |
from __future__ import absolute_import, division, print_function
import torch
from torch.autograd import Variable
from pyro.distributions.torch_distribution import TorchDistribution
from pyro.distributions.util import broadcast_shape
class Delta(TorchDistribution):
"""
Degenerate discrete distribution (a si... |
# coding=utf-8
import requests
def get_hitokoto_info():
"""
从『一言』获取信息。(官网：https://hitokoto.cn/)
:return: str,一言。
"""
print('获取一言...')
try:
resp = requests.get('https://v1.hitokoto.cn/', params={'c': 'e', 'encode': 'text'})
if resp.status_code == 200:
return "开心一言:\r... |
from __future__ import print_function
import datetime
import ipywidgets
import os
import sys
import traceback
from IPython.display import display
global tee_file
tee_file = None
# http://stackoverflow.com/questions/29772158/make-ipython-notebook-print-in-real-time
class flushfile():
def __init__(self, f):
... |
import copy
import logging
import emcee
import numpy as np
import numpy.random as random
from gbkfit.utils import funcutils, iterutils, parseutils
import gbkfit.params.utils as paramutils
import gbkfit.params.utils
from gbkfit.fitting.prior import prior_parser
from gbkfit.fitting.core import FitParam, FitParams, F... |
import re
from bottle import request
from babel import support
from .config import Config
# Format of http.request.header.Accept-Language.
# refs: http://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.4
REQUEST_ACCEPT_LANGUAGE_RE = re.compile(r'''
([A-Za-z]{1,8}(?:-[A-Za-z]{1,8})*|\*) # "en", "en-au... |
from pycoingecko import CoinGeckoAPI
cg = CoinGeckoAPI()
def print_coin(coin):
print(coin['symbol'], "--- current price: ", coin['current_price'], "$")
def sort_by_cap(e):
return e['market_cap_rank']
while True:
n = int(input("Enter number to filter: "))
coin_list = cg.get_coins_markets("usd")[:n]
... |
import json
from aiohttp import web
from aiohttp.web_urldispatcher import StaticResource
from aiohttp_apispec import setup_aiohttp_apispec
from yarl import URL
def test_app_swagger_url(aiohttp_app):
def safe_url_for(route):
if isinstance(route._resource, StaticResource):
# url_for on StaticRe... |
import unittest
import json
from GitCraw.verify import Verify
class TestVerify(unittest.TestCase):
def set_up(self):
self.verify = Verify()
def testKeywordsOk(self):
self.set_up()
result = self.verify.verified_type("Issues")
self.assertEqual(True,result)
def testKeywords... |
# Generated by Django 3.1.4 on 2020-12-29 01:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0007_auto_20201228_2020'),
]
operations = [
migrations.AddField(
model_name='shop',
name='description',
... |
# Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
# Relative imports
from ._estimator import GaussianProcessEstimator
__all__ = ['GaussianProcessEstimator']
|
from . import _version
from .display import TyphosDeviceDisplay
from .func import TyphosMethodButton
from .panel import TyphosCompositeSignalPanel, TyphosSignalPanel
from .plugins import register_signal
from .positioner import TyphosPositionerWidget
from .suite import TyphosSuite
from .utils import load_suite, patch_co... |
# Generated by Django 3.2.6 on 2021-08-27 02:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0025_alter_report_embed_code'),
]
operations = [
migrations.AddField(
model_name='usersubmission',
name='publ... |
from .tokens import error_at, merge_locations
from .debug import recur_print
def make_ast(tokens,args):
# kept up to date by match
# is an array so match can edit it
lastloc = [tokens[0]["loc"]]
# match one of several tokens by kind,
# remove that token from the tokens list,
# return the... |
import json
from ibm_watson import LanguageTranslatorV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
import os
from dotenv import load_dotenv
load_dotenv()
apikey = os.environ['apikey']
url = os.environ['url']
authenticator = IAMAuthenticator(apikey)
language_translator = LanguageTranslatorV3(
... |
import numpy as np
import librosa
import matplotlib.pyplot as plt
import scipy.io as sio
# constant function
test_vector = np.ones(200)
stft = librosa.stft(test_vector, hop_length=25, n_fft=100, win_length=100, window='hamming')
noise = np.random.random(stft.shape)
stft = stft + noise
istft = librosa.istft(stft, hop_l... |
from hamcrest import assert_that, equal_to, is_
from marshmallow import Schema, fields
from microcosm_flask.swagger.api import build_parameter
from microcosm_flask.swagger.decorators import swagger_field
class MixedField(fields.Field):
__swagger_type__ = ["integer", "string"]
class TestSchema(Schema):
deco... |
# Desenvolva um programa que leia as duas notas de um aluno, calcule e mostre sua média.
n1 = float(input('Digite a primeira nota:'))
n2 = float(input('Digite a segunda nota:'))
media = (n1 + n2) / 2
print("A média entre {:.1f} e {:.1f} é igual a {:.1f}".format(n1, n2, media))
|
import pytest
from deepforest import RandomForestClassifier
from deepforest import ExtraTreesClassifier
from deepforest.forest import _get_n_samples_bootstrap
# Load utils
from sklearn.ensemble._hist_gradient_boosting.binning import _BinMapper
from sklearn.datasets import load_iris, load_wine
from sklearn.ensemble._f... |
__author__ = 'JordSti'
import ctypes
import os
class sprite_header(ctypes.Structure):
_fields_ = [('sprite_name', ctypes.c_char * 64),
('nb_frames', ctypes.c_int32),
('width', ctypes.c_int32),
('height', ctypes.c_int32)]
class sprite_image_marker(ctypes.Structure):
_fields_ = [('lengt... |
# log21.FileHandler.py
# CodeWriter21
from logging import FileHandler as _FileHandler
from log21.Formatters import DecolorizingFormatter as _DecolorizingFormatter
class DecolorizingFileHandler(_FileHandler):
terminator = ''
def emit(self, record):
if self.stream is None:
self.stream = se... |
#!/usr/bin/env python
import glob
from setuptools import setup
setup(name='hanzo-warc-tools',
version='0.2',
license="MIT License",
description='Command line tools and libraries for handling and manipulating WARC files (and HTTP contents)',
author='Thomas Figg',
author_email='thomas.fi... |
#encoding=utf-8
'''
天气
webservice:
wsdl:http://www.webxml.com.cn/WebServices/WeatherWebService.asmx?wsdl
描述：http://www.webxml.com.cn/WebServices/WeatherWebService.asmx
getSupportCity( )
'''
from suds.client import Client
from suds.xsd.doctor import ImportDoctor,Import
#Import和DoctorImport是提供wsdl中缺... |
#
# Copyright (c) 2021 Airbyte, Inc., all rights reserved.
#
from abc import ABC
from typing import Any, Iterable, List, Mapping, MutableMapping, Optional, Tuple
from datetime import datetime, timedelta
import requests
from airbyte_cdk.sources import AbstractSource
from airbyte_cdk.sources.streams import Stream
from... |
"""
tools
=======
This module is a collection of small Python functions and classes which make common patterns shorter and easier.
It is by no means a complete collection but you can keep extending it.
If you need any other convenient utilities, you would add them inside this module.
"""
import numpy as np
import sys... |
__author__ = 'Dante'
from reaction import BrendaReaction
from reaction import SDFReaction
from databases import db_queries as dbq
import numpy as np
from rdkit import Chem
from rdkit.Chem import MCS
import fingerprinter as fptr
import pybel
from sklearn.cluster import AgglomerativeClustering as AC
from skle... |
import json
from collections import Counter
import sys
from tqdm import tqdm
from search.search import bulk_text_query
from utils.lcs import LCSubStr
from utils.io import load_json_file
from utils.general import chunks, make_context
from utils.corenlp import bulk_tokenize
from scripts.gen_hop1 import CompositeLCS, ... |
import functools
from ..util import _six
import socket
from collections import namedtuple
RemoteInfo = namedtuple('RemoteInfo', 'ip name')
@functools.lru_cache()
def get_request_remote_info(remote_ip):
remote_name = socket.getnameinfo((remote_ip, 0), 0)[0] if remote_ip else None
return RemoteInfo(ip=remote_ip, name... |
from collections import Counter
import code2vec.splitter as spl
def _split_to_sentences(s):
return [l.split() for l in s.split('\n')]
jmethdeps_01 = {
'com.example.HelloWorld.main': [
'java.util.ArrayList.<init>',
'java.util.List.addAll',
],
'com.example.HelloWorld.sub': [
'... |
'''
This module renders inline text containing Quote and Replacement elements.
Quote and replacement processing involves splitting the source text into
fragments where at the points where quotes and replacements occur then splicing fragments
containing output markup into the breaks. A fragment is flagged as 'done'... |
"""Solves problem 1 of Project Euler"""
def sum_divisible_by_n(n, target=999):
p = target/n
return (n*p*(p+1))/2
if __name__=='__main__':
print sum_divisible_by_n(3) + sum_divisible_by_n(5) - sum_divisible_by_n(15)
|
# Common settings for deployed servers
# Will be imported by staging.py, production.py, etc.,
# and some settings possibly overridden.
import socket
from .base import *
DATABASES = {
"default": {
"ENGINE": "django.db.backends.postgresql_psycopg2",
"NAME": env_or_default('DB_NAME', ''),
"U... |
"""
Representation of an Activity object
"""
from .trovebox_object import TroveboxObject
from .photo import Photo
class Activity(TroveboxObject):
""" Representation of an Activity object """
_type = "activity"
def __init__(self, client, json_dict):
self.data = None
self.type = None
... |
# Generated by Django 3.1.4 on 2020-12-29 16:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("issues", "0001_squashed_0010_auto_20210117_1543"),
("events", "0001_initial"),
]
operations = [
mig... |
import tensorflow.compat.v1 as tf
from tensorflow.python.saved_model import signature_constants
from tensorflow.python.saved_model import tag_constants
def convert_frozen_savedmodel(model_path, output_path, input_node, output_nodes):
builder = tf.saved_model.builder.SavedModelBuilder(output_path)
with tf.... |
import can
from .at_serial_can import ATSerialBus |
#!/usr/bin/python3
if __name__ == "__main__":
import sys
sum = 0
for i in range(len(sys.argv)):
if i == 0:
continue
sum += int(sys.argv[i])
print("{:d}".format(sum))
|
# -*- encoding: utf-8 -*-
"""
Collection of utilities for debugging.
:copyright: (c) 2016 H2O.ai
:license: Apache License Version 2.0 (see LICENSE for details)
"""
from __future__ import division, print_function, absolute_import, unicode_literals
import colorama
import inspect
import re
import sys
from colorama imp... |
import json
from pymongo import MongoClient
client = MongoClient('proximus.modulusmongo.net:27017')
client.tepO9seb.authenticate('nasahack', 'hacking4nasa')
db = client.tepO9seb
if __name__ == '__main__':
counts = json.load(open('kw_counts.json'))
nasa_kwds = counts['http://data.nasa.gov/data.json'].keys()
... |
def getTimeFeatures(T, dateCol):
T['year'] = T[dateCol].apply(lambda x: x.year)
T['month'] = T[dateCol].apply(lambda x: x.month)
T['day'] = T[dateCol].apply(lambda x: x.day)
T['dow'] = T[dateCol].apply(lambda x: x.dayofweek)
T['hour'] = T[dateCol].apply(lambda x: x.hour)
T['days'] = (T[dateCol]-... |
""" Analytic approximations for Schwarzschild QNMs.
The approximations implemented in this module can be used as initial
guesses when numerically searching for QNM frequencies.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
def dolan_ottewill_expansion(s, l, n):
""" Hig... |
import argparse
def test_set_param(setup, scene_root, history_db, current_scene_db, query_start, query_end):
from src.praxxis.parameter import set_param
from src.praxxis.parameter import list_param
from src.praxxis.parameter import delete_param
from tests.src.praxxis.util import dummy_object
name... |
#import
#region
import matplotlib.pyplot as plt
import math
#endregion
#input and output
#region
inputPath_1 = 'example1.txt'
inputPath_2 = 'example2.txt'
outputPath_1 = 'outputPath_1.txt'
#endregion
# some stuff
#region
empty = lambda s: s != ''
def Show():
return 0
def validate():
return 1
#endregio... |
"""Implements the `GO` class for handling S. pombe gene ontology annotations.
"""
import os
from contextlib import contextmanager
from Bio.UniProt.GOA import gafiterator, record_has
from goatools.obo_parser import GODag
from goatools.associations import read_gaf
from collections import defaultdict
from .exceptions impo... |
from consolemenu.console_menu import ConsoleMenu
|
"""PyTorch-backed modules and algorithms."""
from metarl.torch._functions import compute_advantages
from metarl.torch._functions import dict_np_to_torch
from metarl.torch._functions import filter_valids
from metarl.torch._functions import flatten_batch
from metarl.torch._functions import global_device
from metarl.torch... |
import os
from django.http.response import Http404, HttpResponse
from django.shortcuts import render
from django.utils.encoding import smart_str
from api.blackbuck import DATA_DIR
from api.decorators import authenticated_user, no_test
@no_test
@authenticated_user
def blackbuck_list(request):
if not os.path.exis... |
from django.conf import settings
from django.db.models.signals import pre_save
from django.utils.functional import curry
from django.db.models.loading import get_model
from auditlog.models import LogEntry
class AuditLogMiddleware(object):
"""
Middleware to couple the request's user to log items. This is acco... |
from pytorch_lightning.callbacks.base import Callback
from uninas.methods.abstract import AbstractMethod
from uninas.training.trainer.abstract import AbstractTrainerFunctions
from uninas.utils.paths import replace_standard_paths
from uninas.utils.args import ArgsInterface, Namespace
class AbstractCallback(ArgsInterfa... |
from icebath.core import build_xrds
from icebath.core import build_gdf
import os
# import faulthandler
# faulthandler.enable()
def run_workflow(indir, fjord, outdir, outfn, metastr=None, bitmask=False):
ds = build_xrds.xrds_from_dir(indir, fjord, metastr, bitmask)
if ds is "nodems":
# print("no dems ... |
def bubbleSort(arrayToBeSorted):
arrayLength = len(arrayToBeSorted);
for i in range(arrayLength):
for j in range(0, arrayLength-i-1):
if arrayToBeSorted[j]> arrayToBeSorted[j+1]:
# swap
arrayToBeSorted[j], arrayToBeSorted[j+1]= arrayToBeSorted[j+1], arrayToBeS... |
from __future__ import absolute_import
from .base import Immutable
class Provider(Immutable):
subsystem = "infra"
endpoint = "/provider"
is_namespaced = False
@classmethod
def _pk_key(cls):
return 'name'
def delete(self):
raise AttributeError("'delete' is not supported in 'P... |
# 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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... |
import xml.etree.ElementTree as ET
class Configuration:
def __init__(self):
self.tree = ET.parse('config.xml')
self.root = self.tree.getroot()
def getUsernamePassword(self,user):
credentials = self.root.findall('login')
for entry in credentials:
if (entry.get('name'... |
import numpy as np
def _cmc_core(D, G, P):
m, n = D.shape
order = np.argsort(D, axis=0)
match = (G[order] == P)
return (match.sum(axis=1) * 1.0 / n).cumsum()
def cmc(distmat, glabels=None, plabels=None, ds=None, repeat=None):
"""Compute the Cumulative Match Characteristic (CMC)
This functio... |
# -*- coding: utf-8 -*-
'''
Author: David J. Morfe
Application Name: Speech Handler for C.H.R.I.S.
Functionality Purpose: Intake and process speech to recognize requested action
'''
import speech_recognition as sr
import time, re, os
from .keys import CWD, api_key
API_KEY = api_key()
os.chdir(CWD)
class SpeechHan... |
import pyotp
from django.conf import settings
from rest_framework import serializers
from rest_framework.exceptions import ParseError
from rest_framework.validators import ValidationError
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer
from .models import CustomUser
from .tasks import send_v... |
#!/usr/bin/env python
#-*- encoding:utf-8 -*-
import socket
if __name__ == '__main__':
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# 建立连接:
s.connect(('127.0.0.1', 9999))
# 接收欢迎消息:
print s.recv(1024)
for data in ['Michael', 'Tracy', 'Sarah']:
# 发送数据:
s.send(data)
... |
from Bio import SwissProt
for record in SwissProt.parse(open('../0_DB/uniprot_sprot.dat')):
pid=record.accessions[0]
seq=record.sequence
print ">"+pid+"\n"+seq+"\n"
|
import os
import tool
import random as rm
import mysql.connector
import sys
from flask import Flask, render_template, redirect, url_for, request, session, jsonify
from functools import wraps
# DB connection
conn = mysql.connector.connect(user='root', password='root', host="localhost", database="book")
app = Flask(__n... |
#-*- coding: utf-8 -*-
"""
Jeu du pendu en mode console, version simplifiée
On se sert de la fonction 'index' (https://docs.python.org/3.6/tutorial/datastructures.html)
pour trouver la position de la lettre proposée dans le mot à deviner
'index' ne renvoie que la position du premier item trouvé
pour 'assis' on ne trouv... |
'''
A PyTorch implementation of MobileNetV2.
The original paper can be found at https://arxiv.org/abs/1801.04381.
'''
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from .activations import activetion_func
class InvBottleneckBlock(nn.Module):
def __init__(self... |
import glob
from shutil import copyfile
import sys
corpus=sys.argv[1]
txt_dir=corpus+"/english/speakers/zs19_data/txt"
wav_dir=corpus+"/english/speakers/zs19_data/wav"
extension=".wav"
all_txt_files=glob.glob(txt_dir+"/*")
all_wav_files=glob.glob(wav_dir+"/*")
assert len(all_wav_files)==len(all_txt_files),"There s... |
# coding: utf-8
#
from psydac.linalg.basic import LinearOperator, Matrix, Vector, VectorSpace
from psydac.linalg.stencil import StencilMatrix
from numpy import zeros as dense_null
from scipy.sparse import coo_matrix as sparse_null
__all__ = ['NullLinearOperator', 'NullMatrix', 'NullStencilMatrix']
class Nul... |
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
palette = [128, 64, 128, 244, 35, 232, 70, 70, 70, 102, 102, 156, 190, 153, 153, 153, 153, 153, 250, 170, 30,
220, 220, 0, 107, 142, 35, 152, 251, 152, 70, 130, 180, 220, 20, 60, 255, 0, 0, 0, 0, 142, 0, 0, 70,
0, 60, 100, 0... |
from corehq.messaging.smsbackends.http.models import SQLHttpBackend
class SQLSislogBackend(SQLHttpBackend):
class Meta(object):
app_label = 'sms'
proxy = True
@classmethod
def get_api_id(cls):
return 'SISLOG'
@classmethod
def get_generic_name(cls):
return "Sislog... |
# Deobfuscated BY HTR-TECH | Tahmid Rayat
# Github : https://github.com/htr-tech
# Instagram : https://www.instagram.com/tahmid.rayat
# Facebook : https://fb.com/tahmid.rayat.oficial
# Messenger : https://m.me/tahmid.rayat.oficial
import argparse
from collections import OrderedDict
from pprint import pformat
_... |
""" A clean, no_frills character-level generative language model.
CS 20: "TensorFlow for Deep Learning Research"
cs20.stanford.edu
Danijar Hafner (mail@danijar.com)
& Chip Huyen (chiphuyen@cs.stanford.edu)
Lecture 11
"""
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import random
import sys
sys.path.append('..')
im... |
from pymoo.model.algorithm import Algorithm
from pymoo.operators.sampling.latin_hypercube_sampling import LatinHypercubeSampling
from pymoo.util.display import SingleObjectiveDisplay
class RandomSearch(Algorithm):
def __init__(self,
n_points_per_iteration=100,
sampling=LatinHype... |
#FLM: Font: Move Diacritical Marks
# VER: 1.0
#----------------------------------
# Foundry: Karandash
# Typeface: Achates
# Date: 05.08.2019
#----------------------------------
# - Dependancies
import fontlab as fl6
from typerig.proxy import pFont, pGlyph, pShape
from typerig.string import upper_diac_marks
# - ... |
# Generated by Django 3.2.3 on 2021-06-02 15:03
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... |
import re
import requests
import subprocess
import time
from time import sleep
from log import log, log_add, now, RED, WHT, GRN, YEL
# Named Constants
# A local host that should always be up (ideally, the gateway router)
Local_Host = "192.168.1.1"
# An internet host that should always be up (Google DNS,for example)
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_flask-nsq
----------------------------------
Tests for `flask-nsq` module.
"""
import pytest
from flask_nsq import Nsq
from flask import Flask
from .integration_server import NsqdIntegrationServer
from gnsq import protocol as nsq
from gnsq import states, errors
... |
import os
from collections import OrderedDict
import yaml
import json
import tempfile
import shutil
import logging
import hashlib
from androidcrypto.sample import Sample
from androidcrypto import helpers, constants
class DatasetException(Exception):
pass
class Dataset:
def __init__(self, root_path):
... |
#
# Context-Related Pages
#
import pscheduler
from pschedulerapiserver import application
from flask import request
from .dbcursor import dbcursor_query
from .json import *
from .response import *
#
# Contexts
#
# All contexts
@application.route("/contexts", methods=['GET'])
def contexts():
return json_query(... |
import xml.etree.ElementTree as et
import sys
with open(sys.argv[1], 'r') as f:
r = et.parse(f)
documents = r.findall('.//document')
for doc in documents:
elem = doc.findall('.//{http://collectionspace.org/collectionspace_core/}collectionspace_core')
for e in elem:
doc.remove(e)... |
from setuptools import setup, find_packages
import os
def read(fname):
try:
return open(os.path.join(os.path.dirname(__file__), fname), 'r').read()
except:
return ""
setup(
name='aws-logging-handlers',
packages=find_packages(),
version='2.0.4',
description='Logging aws_loggin... |
##################################################
# This is a library for the Adafruit DRV2605L Haptic Driver
#
# ----> http://www.adafruit.com/products/2305
#
# Check out the links above for our tutorials and wiring diagrams
# This motor/haptic driver uses I2C to communicate
#
# Adafruit invests time and resour... |
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers import Bidirectional
from tensorflow import keras
from scipy.signal import medfilt
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from sklearn.preprocessi... |
# -*- coding: utf-8 -*-
from setuptools import setup
packages = \
['pureapi']
package_data = \
{'': ['*'],
'pureapi': ['schemas.old/517/*',
'schemas/518/*',
'schemas/519/*',
'schemas/520/*',
'schemas/521/*']}
install_requires = \
['addict', 'attrs>=19.3.0,<20.0.0'... |
import numpy as np
import cv2
import time
# from simple_pid import PID
cap = cv2.VideoCapture(0)
# cap = cv2.VideoCapture('http://192.168.55.6:8080/video')
# set res of camera
settings = {
"window_x": 320,
"window_y": 240,
"crop_window_height": 80,
"contrast_high": 255,
"contrast_low": 160,
"c... |
from ea_server.api.utils.constans import UNIFORM, ALPHA, INDPB
from ea_server.model.ea_function_model import EaFunctionModel, KwargModel
from deap import tools
single_point = EaFunctionModel(function=tools.cxOnePoint,
description="https://en.wikipedia.org/wiki/Crossover_(genetic_algorith... |
import math
import numpy as np
import pandas as pd
## Tables for tabulated data fire methods
def delta_a(eta_fi, gamma_s, fyk, as_req_prov):
sig_s0 = np.array([20, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200])
sig_kt = np.array([1.0, 0.999999, 0.9, 0.85, 0.8, 0.6, 0.35,
... |
# This code is a part of XMM: Generate and Analyse (XGA), a module designed for the XMM Cluster Survey (XCS).
# Last modified by David J Turner (david.turner@sussex.ac.uk) 02/08/2021, 17:28. Copyright (c) David J Turner
import os
import warnings
from typing import Tuple, List, Union
import numpy as np
import pandas... |
################################################################################
# The Pyretic Project #
# frenetic-lang.org/pyretic #
# author: Michael Greenberg (mg19@cs.princeton.edu) ... |
#===============================================================================
#
# FILE: prep_hyperp_imp_v2.py
#
# USAGE: C:\apps\Anaconda3\python.exe prep_hyperp_imp_v2.py --count=1 --name=DemoImpModel --config="ConfigImp.yaml" > prep_hyperp_imp_v2_trace.txt 2>&1
#
# DESCRIPTION: IMP (integrative... |
#!/usr/bin/env python3
from distutils.core import setup
setup(
name='igcolors',
url='https://github.com/innogames/igcolors',
author='InnoGames System Administration',
author_email='it@innogames.com',
packages=[
'igcolors',
],
version='1.0',
long_description=(
'Provide a... |
class Solution(object):
def longestCommonPrefix(self, strs):
"""
:type strs: List[str]
:rtype: str
"""
if not strs:
return ""
end_index = 0
for group in zip(*strs):
if len(set(group)) > 1:
return strs[0][:end_index]
... |
import os
import signal
from typing import Any
from celery import Celery
from celery.signals import worker_shutting_down
from celery.utils.log import get_logger
from django.conf import settings
from video_transcoding import defaults
app = Celery(defaults.CELERY_APP_NAME)
app.config_from_object(defaults.VIDEO_TRANSCO... |
import numpy as np
import scipy.io as sio
import stmpy
def loadmat(filePath):
'''
Load in all variables from a .mat file.
If you want to list all the variables in the file, use
>>> fo = sio.loadmat(filename)
>>> list(fo)
STM_View structures will be stored as dictionaries.
Ignore any variables ... |
import os
import time
import sqlite3
file = 'example.db'
if os.path.exists(file):
os.remove(file)
conn = sqlite3.connect(file)
c = conn.cursor()
start = time.time()
c.execute('''CREATE TABLE stocks
(date text, trans text, symbol text, qty real, price real)''')
for i in range(3000):
c.execute(f"... |
# Burp extension to test StyledDocument and custom styles.
# support for burp-exceptions - see https://github.com/securityMB/burp-exceptions
try:
from exceptions_fix import FixBurpExceptions
import sys
except ImportError:
pass
from burp import IBurpExtender
# needed for tab
from burp import ITab
class B... |
from namecheapapi.api.domains import DomainAPI
|
from django.db import models
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from root import settings
# This model refer to the generic type of model
class Like(models.Model):
user = models.ForeignKey(settings.AUTH_USER_MODEL,
... |
# Copyright (c) 2010 Chris Moyer http://coredumped.org/
#
# 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, ... |
import re
import PitchClass
import Accidental
"""
音度から半音数を取得する。
"""
class Degree:
_Pattern = re.compile(r'[1-9][0-9]*')
_Degrees = ((1,0),(2,2),(3,4),(4,5),(5,7),(6,9),(7,11))
@classmethod
def Get(cls, name:str):
d, a = cls.__Split(name)
degree = cls.__GetDegree(d)
accidental = A... |
'''
Based on
https://github.com/r9y9/deepvoice3_pytorch/blob/master/train.py
'''
import os
import numpy as np
from config import config
import frontend
import util.audio as audio
######### TEMPLATE ##########
class FileDataSource(object):
"""File data source interface.
Users are expected to implement custum d... |
import logging
import yaml
with open("/etc/staging_api/system.yml") as file:
systems = yaml.load(file, Loader=yaml.FullLoader)
def validate_encryption_input_body(input_data):
try:
logging.info(input_data["source_system"])
logging.info(input_data["source_path"])
source_system = input_d... |
import os
import argparse
import torch
import torch.nn as nn
import sys
import numpy as np
# Append root directory to system path for imports
repo_path, _ = os.path.split(os.path.realpath(__file__))
repo_path, _ = os.path.split(repo_path)
sys.path.append(repo_path)
from LMSCNet.common.seed import seed_all
from LMSCNe... |
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