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# # Copyright (c) 2015 Red Hat # Licensed under The MIT License (MIT) # http://opensource.org/licenses/MIT # from rest_framework import serializers, fields from rest_framework.reverse import reverse from pdc.apps.common.models import Arch from pdc.apps.common.serializers import StrictSerializerMixin, DynamicFieldsSeri...
from flask import Flask, render_template, request from flask_sqlalchemy import SQLAlchemy from momochess.routes import create_routes def create_app(): app = Flask(__name__) app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://localhost/momochess' db = SQLAlchemy(app) return create_routes(app)
""" Programming for linguists Interfaces for digits """ from typing import Union from algorithms.calculator.reverse_polish_notation.element import Element class Digit(Element): """ Interface for presenting a digit """ def __init__(self, digit_as_string: Union[float, str]): print(digit_as_st...
import tensorrt as trt TRT_LOGGER = trt.Logger(trt.Logger.INTERNAL_ERROR) def build_engine(onnx_path, shape = [1,224,224,3]): """ This is the function to create the TensorRT engine Args: onnx_path : Path to onnx_file. shape : Shape of the input of the ONNX file. """ with trt.Builder(TRT_LO...
"""Algorithms for generating synthetic data""" from synthesis.synthesizers.marginal import MarginalSynthesizer, UniformSynthesizer from synthesis.synthesizers.contingency import ContingencySynthesizer from synthesis.synthesizers.privbayes import PrivBayes, PrivBayesFix __all__ = [ 'MarginalSynthesizer', 'Unif...
#!/usr/bin/env python3 # Copyright (c) 2017-2018 The Bitcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Test RPC calls related to net. Tests correspond to code in rpc/net.cpp. """ from test_framework.test_...
from django.db import models class ContactPage(models.Model): name = models.CharField(max_length=50, unique=False) email = models.EmailField() message = models.CharField(max_length=500) def __str__(self): return "{0}'s Message".format(self.name)
#/usr/bin/env python # encoding: utf-8 import numpy as np import sklearn.preprocessing as prep import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data def xavier_init(fan_in, fan_out, constant = 1): low = -constant * np.sqrt(6.0 / (fan_in + fan_out)) high = constant * np.sqrt(6.0 /...
import subprocess import sys import threading class SubprocessThread(threading.Thread): def __init__( self, args, stdin_pipe=subprocess.PIPE, stdout_pipe=subprocess.PIPE, stderr_pipe=subprocess.PIPE, timeout=2, ): threading.Thread.__init__(self) ...
_base_ = './fcn_hr18_512x1024_40k_cityscapes.py' model = dict( pretrained='open-mmlab://msra/hrnetv2_w48', backbone=dict( extra=dict( stage2=dict(num_channels=(48, 96)), stage3=dict(num_channels=(48, 96, 192)), stage4=dict(num_channels=(48, 96, 192, 384)))), decod...
# Lint as: python2, python3 # Copyright 2019 Google LLC. 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 req...
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals range = getattr(__builtins__, 'xrange', range) # end of py2 compatability boilerplate import os import pytest import nump...
class Logger: __environment = None def __init__(self): pass def set_environment(self, environment: str): """ Log into the terminal. :param environment: :type environment: str :return: """ self.__environment = environment def log(self,...
# -*- coding: utf-8 -*- """ Created on Sun Feb 14 09:53:19 2021 @author: Lakhan Kumawat """ import string import random symbols=[] symbols=list(string.ascii_letters) card1=[0]*5 card2=[0]*5 pos1=random.randint(0,4) pos2=random.randint(0,4) #first lets declare same symbol and extract it out samesymbol=random.choice(sy...
def get_measure_data(meas_path): with open(meas_path, 'r') as fs: # useless lines fs.readline() fs.readline() value = [] while True: ln = fs.readline() if ln == '': break ln = ln.strip() column_splitter(value,...
"""DataSet class for simlated matrix data""" from pandas import DataFrame from nudging.dataset.base import BaseDataSet class MatrixData(BaseDataSet): """Class MatrixData""" @classmethod def from_data(cls, data, truth=None, names=None, **kwargs): """Initialize dataset from numpy arrays. A...
"""Functions and Command line Script for classifying hotspots""" # Standard Inputs import argparse import os import sys import pickle # Pip Inputs import pandas as pd import numpy as np from PIL import Image def square_crop(image, x_pos, y_pos, size=35): """Returns a square crop of size centered on (x_pos, y_pos) ...
# -*- coding: utf-8 -*- # Copyright (c) 2019, Frappe Technologies and Contributors # See license.txt from __future__ import unicode_literals import unittest import frappe from frappe.core.doctype.data_import.importer import Importer from frappe.utils import getdate, format_duration doctype_name = 'DocType for Import'...
from model.account import Account from taskutils.ndbsharded import ndbshardedmap, futurendbshardedmapwithcount import logging # from taskutils.future import twostagefuture from taskutils.ndbsharded import futurendbshardedpagemap, futurendbshardedmap def IncrementAccountsWithShardedMapExperiment(): def Go(): ...
import torch def rel_positions_grid(grid_sizes): """Generates a flattened grid of (x,y,...) coordinates in a range of -1 to 1. sidelen: int dim: int """ tensors = [] for size in grid_sizes: tensors.append(torch.linspace(-1, 1, steps=size)) # tensors = tuple(dim * [torch.linspace(-1...
''' Uses stochastic variational inference (SVI) to scale to larger datasets with limited memory. At each iteration of the VB algorithm, only a fixed number of random data points are used to update the distribution. ''' import numpy as np import logging import scipy from gp_classifier_vb import GPClassifierVB, sigm...
from django.http import HttpResponseRedirect, HttpResponseNotFound, HttpResponse,Http404 from django.urls import reverse from django.shortcuts import render from datetime import datetime from django.contrib.auth.decorators import login_required from django.contrib.auth import login, logout from openpyxl import load_wor...
# Copyright 2012 Nicira Networks, Inc. # 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 requ...
# Copyright (c) 2017, Lawrence Livermore National Security, LLC. Produced at # the Lawrence Livermore National Laboratory. LLNL-CODE-734707. All Rights # reserved. See files LICENSE and NOTICE for details. # # This file is part of CEED, a collection of benchmarks, miniapps, software # libraries and APIs for efficient h...
# https://pymotw.com/2/socket/tcp.html import socket import sys # Create a TCP/IP socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # Bind the socket to the port server_address = ('localhost', 11111) print >>sys.stderr, 'starting up on %s port %s' % server_address sock.connect(server_address) try: ...
# -*- coding: utf-8 -*- # Copyright (c) 2018, Gaurav Naik and Contributors # See license.txt from __future__ import unicode_literals import frappe import unittest class TestConsignmentNoteDetail(unittest.TestCase): pass
import numpy as np import datetime as dt import tensorflow as tf import os,csv slim = tf.contrib.slim def save_statistics(train_writer, episodes_reward_list, episodes_mean_max_q_value_list, episodes_mean_chosen_q_value_list=None, episodes_mean_batch_reward_list=None, episode_mean_action_q_value_list=None,step=1, act...
'''OpenGL extension OES.read_format This module customises the behaviour of the OpenGL.raw.GL.OES.read_format to provide a more Python-friendly API Overview (from the spec) This extension provides the capability to query an OpenGL implementation for a preferred type and format combination for use with reading ...
import sys from setuptools import setup, find_packages with open('transitions/version.py') as f: exec(f.read()) if len(set(('test', 'easy_install')).intersection(sys.argv)) > 0: import setuptools tests_require = ['dill', 'pygraphviz'] extra_setuptools_args = {} if 'setuptools' in sys.modules: tests_requ...
from tqdm import tqdm from time import sleep for _ in tqdm(range(1500)): # print('Ilkayyyyyyy') sleep(.2)
#!/usr/bin/env python # # Copyright (C) 2018 Nippon Telegraph and Telephone Corporation. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. import grpc import sys import tai_pb2 import tai_pb2_grpc from optparse import OptionParser fro...
# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------...
import multiprocessing import random from struct import pack, unpack_from from av import VideoFrame from ..mediastreams import VIDEO_CLOCK_RATE, VIDEO_TIME_BASE, convert_timebase from ._vpx import ffi, lib DEFAULT_BITRATE = 500000 # 500 kbps MIN_BITRATE = 250000 # 250 kbps MAX_BITRATE = 1500000 # 1.5 Mbps ...
# To find the path on which we are working import os cwd = os.getcwd() print('###cwd###', cwd) filename = os.path.join(cwd, 'ec2-launch') # Create the Ec2 instances import boto3 ec2 = boto3.resource('ec2', region_name = 'us-east-1') instances = ec2.create_instances( ImageId='ami-035be7bafff33b6b6', MinCount=1,...
from msysutils import msysActive, msysShell from os import environ from shlex import split as shsplit from subprocess import PIPE, Popen def captureStdout(log, commandLine): '''Run a command and capture what it writes to stdout. If the command fails or writes something to stderr, that is logged. Returns the captur...
#!/usr/bin/env python # -*- coding: utf-8 -*- # author:ls import tornado.ioloop import tornado.web class MainHandler(tornado.web.RequestHandler): def get(self,*args,**kwargs): self.write("Hello, world") def main(): application = tornado.web.Application([ (r"/", MainHandler), ],debug=True...
import numpy as np NW = (52.58363, 13.2035) SE = (52.42755, 13.62648) NE = (NW[0], SE[1]) SW = (SE[0], NW[1]) def flatten_list(irregularly_nested_list): """Generator which recursively flattens list of lists :param irregularly_nested_list: iterable object containing iterable and non-iterable objects as elemen...
#!/usr/bin/env python """An interactive kernel that talks to frontends over 0MQ.""" #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- from __future__ import print_function # Standard library imports i...
from __future__ import print_function from benchpress.benchmarks import util import numpy as np bench = util.Benchmark("LU decomposition on the matrix so that A = L*U", "<size>") def lu(a): """ Perform LU decomposition on the matrix `a` so that A = L*U """ u = a.copy() l = np.identity(a.shape[0],...
class Solution: def eraseOverlapIntervals(self, intervals: list[list[int]]) -> int: intervals.sort() n = len(intervals) left, right = 0, 1 count = 0 while right < n: if intervals[left][1] <= intervals[right][0]: left = right right ...
from pathlib import Path import os from PIL import Image from tensorflow.python.keras.layers import Conv2D, BatchNormalization, Activation import logging logging.getLogger("tensorflow").setLevel(logging.ERROR) import tensorflow as tf tf.get_logger().setLevel('ERROR') import numpy as np from tensorflow.python.keras.mod...
import pygame from random import randint BLACK = (0,0,0) import numpy as np class Ball(pygame.sprite.Sprite): def __init__(self, color , width ,height, twidth, theight): super().__init__() self.image = pygame.Surface([width,height]) self.image.fill(BLACK) self.image.set_colorkey(...
import argparse import glob import os import time import pandas as pd from tqdm import tqdm def generate_csv_file(data_dir: str, output_file: str): """Generates a csv file containing the image paths of the VGGFace2 dataset for use in triplet selection in triplet loss training. Args: dataroot (st...
# Generated by Django 2.0 on 2019-06-10 11:39 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('acheve_mgt', '0018_auto_20190610_1136'), ] operations = [ migrations.AlterField( model_name='myclass', name='dept', ...
# -*- coding: utf-8 -*- ''' Provides RAET LaneStack interface for interprocess communications in Salt Raet to a remote yard, default name for remote is 'manor' . Usages are for RAETChannels and RAETEvents This provides a single module global LaneStack to be shared by all users in the same process. This combines into o...
# 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 use ...
import os from pathlib import Path import pytest from flopy.utils import binaryfile as bf import numpy as np import fiona import rasterio from shapely.geometry import box import pytest from ..grid import load_modelgrid from ..results import export_cell_budget, export_heads, export_drawdown, export_sfr_results @pytest...
import sys import matplotlib.pyplot as plt from matplotlib import rc import cPickle if len(sys.argv) < 2: print 'Must provide a comma separated list of experiments.' sys.exit(0) results_base = 'results-' root_dir = '../data/experiments/experiment-' experiment_ids = sys.argv[1].split(',') data = [ cPickle...
# Elliptic position is governed by Kepler's equation # # M = E - e * sin E # # Aux equations for computing position from E assuming an axis aligned orbit. # # x = a * ( cos E - e ) # # y = a * sqrt( 1 - e ^ 2 ) * sin E # # For computing M from an orbit. # # M = M_0 + ( 2 * pi * t / ...
""" Django settings for portal project. For more information on this file, see https://docs.djangoproject.com/en/1.7/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.7/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) imp...
from wsgi_kerberos import KerberosAuthMiddleware, ensure_bytestring, _DEFAULT_READ_MAX from webtest import TestApp, TestRequest import kerberos import mock import unittest def index(environ, start_response): start_response('200 OK', [('Content-Type', 'text/plain')]) response_body = 'Hello %s' % environ.get('R...
# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------...
#!/usr/bin/python3 # -*- coding: utf-8 -*- from jitcode import jitcode_restricted_lyap, y import numpy as np from scipy.stats import sem a = -0.025794 b1 = 0.01 b2 = 0.01 c = 0.02 k = 0.128 f = [ y(0) * ( a-y(0) ) * ( y(0)-1.0 ) - y(1) + k * (y(2) - y(0)), b1*y(0) - c*y(1), y(2) * ( a-y(2) ) * ( y(2)-1.0 )...
from typing import List from heapq import heappush, heappop class Solution: def minRefuelStopsDP( self, target: int, startFuel: int, stations: List[List[int]] ) -> int: dp = [startFuel] + [0] * len(stations) for i in range(len(stations)): for t in range(i + 1)[::-1]: ...
from output.models.saxon_data.missing.missing003_xsd.missing003 import ( Bad, Good, ) __all__ = [ "Bad", "Good", ]
from pyswagger import SwaggerApp, utils from pyswagger.spec.v2_0 import objects from ..utils import get_test_data_folder import unittest import os class ResolvePathItemTestCase(unittest.TestCase): """ test for PathItem $ref """ @classmethod def setUpClass(kls): kls.app = SwaggerApp._create_(get_t...
""" Miscellaneous facial features detection implementation """ import cv2 import numpy as np from enum import Enum class Eyes(Enum): LEFT = 1 RIGHT = 2 class FacialFeatures: eye_key_indicies=[ [ # Left eye # eye lower contour 33, 7, 163, 144, ...
#!//opt/bin/lv_micropython -i import time import lvgl as lv import display_driver from imagetools import get_png_info, open_png # Register PNG image decoder decoder = lv.img.decoder_create() decoder.info_cb = get_png_info decoder.open_cb = open_png # Create an image from the png file try: with open('../assets/img...
from flask import Flask from views import main from views.custom_filters import format_time, format_size, socket_type, socket_family, format_addr_port app = Flask(__name__) app.add_template_filter(format_time) app.add_template_filter(format_size) app.add_template_filter(socket_type) app.add_template_filter(socket_fami...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- def main(): input_file = './input_2.txt' with open(input_file, 'r') as ftr: fishes = list(map(int, ftr.read().strip().split(','))) for _ in range(80): for fidx, fish in enumerate(fishes[:]): if (fish == 0): fishes[fidx] = 6 fishes.appen...
""" this code is modified from pyart.graph.cm file, developed by Helmus, J.J. & Collis, S.M. https://github.com/ARM-DOE/pyart ============== Radar related colormaps. .. autosummary:: :toctree: generated/ revcmap _reverser _reverse_cmap_spec _generate_cmap Available colormaps, reversed versions ...
import unittest from . import * class HomePageTest(unittest.TestCase): def test_home_page(self): pass
import cv2 # working with, mainly resizing, images import numpy as np # dealing with arrays import os # dealing with directories from random import shuffle # mixing up or currently ordered data that might lead our network astray in training. path='data' IMG_SIZE = 96 def crea...
import time from collections import deque import numpy as np from numpy import product FILENAME="test4.txt" if FILENAME=="test.txt": D=True else: D=False starttime=time.perf_counter() print("\u001b[2J\u001b[0;0H") with open(FILENAME,'r') as file: msg='F'+file.readline() print(msg[1:]) print(str(bin(in...
import torch import torch.nn as nn from pytorch_pretrained_bert.modeling import BertEncoder, BertPooler, BertLayerNorm, BertPreTrainedModel class BertEmbeddingsModified(nn.Module): """Construct the embeddings from word, position and token_type embeddings. """ def __init__(self, config): super(Bert...
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. # NVIDIA CORPORATION and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and relat...
from suds.client import Client from suds import WebFault class SoapHelper: def __init__(self, app): self.app = app def can_login(self, username, password): client = Client("http://localhost/mantisbt-1.2.20/api/soap/mantisconnect.php?wsdl") try: client.service.mc_login(use...
from pyldapi.renderer import Renderer from pyldapi.view import View from flask import render_template, Response from rdflib import Graph, URIRef, BNode import skos from skos.common_properties import CommonPropertiesMixin from config import Config class Method(CommonPropertiesMixin): def __init__(self, uri): ...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # Export this package's modules as members: from ._enums import * from .database_account import * from .database_account_cassandra_keyspace import * fr...
import tkinter as tk class Application(tk.Frame): def __init__(self, master=None): super().__init__(master) self.master = master self.pack() self.create_widgets() def create_widgets(self): self.hi_there = tk.Button(self) self.hi_there["text"] = "Hello World\n(cl...
from django.contrib import admin from .models import Schedule admin.site.register(Schedule)
import struct from bw_archive.bw_archive import BWArchive if __name__ == "__main__": import os dir = "BattalionWars/BW1/Data/CompoundFiles" files = os.listdir(dir) out = "test.res" sub_sections = [b"RXET", b"PRCS"] for filename in files: if not filename.endswith(".res"): ...
#!/usr/bin/python3 # -*- coding: utf-8 -*- """ Manipulate the global config file """ import json import logging config_file = "/etc/wlanpi-chat-bot/config.json" logging.basicConfig(level=logging.INFO) class_logger = logging.getLogger("Config") class Config(object): """ Manipulate the global config file ...
# -*- coding: utf-8 -*- """ @author: Adam Reinhold Von Fisher - https://www.linkedin.com/in/adamrvfisher/ """ #This is a two asset portfolio/strategy tester with a brute force optimizer, lower max drawdown threshold in optimizer #Import modules import numpy as np import random as rand import pandas as pd import tim...
# -*- coding: utf-8 -*- """ Created on Wed Dec 23 21:30:36 2020 :copyright: Jared Peacock (jpeacock@usgs.gov) :license: MIT """ # ============================================================================= # Imports # ============================================================================= from mt_metada...
# coding: utf-8 """ validateapi The validation APIs help you validate data. Check if an E-mail address is real. Check if a domain is real. Check up on an IP address, and even where it is located. All this and much more is available in the validation API. # noqa: E501 OpenAPI spec version: v1 Ge...
''' 用于检测cuda运算错误 ''' import torch import torch.nn as nn from torch.backends import cudnn import argparse import time import math def ConvBnAct(in_ch, out_ch, ker_sz, stride, pad, act=nn.Identity(), group=1, dilation=1): return nn.Sequential(nn.Conv2d(in_ch, out_ch, ker_sz, stride, pad, groups=group, bias=False, ...
# Copyright (c) OpenMMLab. All rights reserved. import mmcv import torch import torch.nn as nn import torch.nn.functional as F from ..builder import LOSSES @mmcv.jit(derivate=True, coderize=True) def ae_loss_per_image(tl_preds, br_preds, match): """Associative Embedding Loss in one image. Associative Embedd...
""" The library contain functions related to NetBackup VM backup functionality. """ ## The script can be run with Python 3.6 or higher version. ## The script requires 'requests' library to make the API calls. import common headers = {"Content-Type" : "application/vnd.netbackup+json;version=4.0"} # Perform VM backu...
import re with open("words.txt", "w") as words_file: words_file.write(input()) text_file = open("text.txt", "w") while True: line = input().lower() if not line: break text_file.write(f"{line}\n") text_file.close() # Counting key words: key_words = {} with open("words.txt") as reading_words_...
from setuptools import find_packages from setuptools import setup setup( name='pre-commit-hooks', description='Some out-of-the-box hooks for pre-commit', url='https://github.com/Lucas-C/pre-commit-hooks', version='1.1.9', author='Lucas Cimon', author_email='lucas.cimon@gmail.com', platfor...
"""Module for serializing ``ase.Atoms``.""" # TODO very recent versions of ase.Atoms have `todict` and `fromdict` methods, ands # see: https://gitlab.com/ase/ase/atoms.py and # https://gitlab.com/ase/ase/blob/master/ase/io/jsonio.py import datetime import json import ase from ase.constraints import dict2constraint imp...
#!/usr/local/bin/python3 import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl # Setup, and create the data to plot y = np.random.rand(100000) y[50000:] *= 2 y[np.geomspace(10, 50000, 400).astype(int)] = -1 mpl.rcParams['path.simplify'] = True mpl.rcParams['path.simplify_threshold'] = 0.0 plt.p...
# #Authors: Owen Levin, Dennis Melamed # import numpy as np from sklearn import neighbors, datasets import pickle import glob import os import time import rospy import pprint from leap_motion.msg import leapros from std_msgs.msg import Int32 gesture_class_nums = { "0":0,# "1":1,# ...
r""" Sets of morphisms between free modules The class :class:`FreeModuleHomset` implements sets of homomorphisms between two free modules of finite rank over the same commutative ring. AUTHORS: - Eric Gourgoulhon, Michal Bejger (2014-2015): initial version REFERENCES: - Chaps. 13, 14 of R. Godement : *Algebra*, He...
# 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...
track_width = 0.9143985009502611 track_original = [(1.3333835005760193, -2.8131200075149536), (1.183136522769928, -2.8104419708251953), (1.0328985452651978, -2.8073339462280273), (0.8826694488525391, -2.8037965297698975), (0.7324512302875519, -2.7998324632644653), (0.5822446346282959...
# Copyright 2013 IBM Corp. # 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 app...
import cv2 import numpy as np import dlib import time import matplotlib.pyplot as plt from math import hypot,ceil #cap = cv2.VideoCapture("projectvideo.mp4") cap = cv2.VideoCapture(0) liste=[] detector = dlib.get_frontal_face_detector() predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") def mid...
from django.contrib import admin from .models import Comment, Follow, Group, Post admin.site.register(Post) admin.site.register(Group) admin.site.register(Comment) admin.site.register(Follow)
""" This file offers the methods to automatically retrieve the graph Gemmatimonadetes bacterium KBS708. The graph is automatically retrieved from the STRING repository. References --------------------- Please cite the following if you use the data: ```bib @article{szklarczyk2019string, title={STRING v11: prote...
# -*- coding: utf-8 - # # This file is part of gunicorn released under the MIT license. # See the NOTICE for more information. import io import logging import os import re import sys from gunicorn._compat import unquote_to_wsgi_str from gunicorn.six import string_types, binary_type, reraise from gunicorn import SERVE...
"""The following script holds the different high level functions for the different propagators available at poliastro: +-------------+------------+-----------------+-----------------+ | Propagator | Elliptical | Parabolic | Hyperbolic | +-------------+------------+-----------------+-----------------+ | fa...
from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class ChallengeConfig(AppConfig): name = "codershq.challenge" verbose_name = _("Challenges") def ready(self): try: import codershq.challenge.signals # noqa F401 except ImportError: ...
""" Customers endpoint wrapper class Possible requests: * get_by_query: get customers that respect passed in query parameters * get_by_id: get customer with given customer ID * get_by_email: get customer with given email * get_by_creation_date: get customers created at specific date * get_by_creation_dates: get custo...
#!/usr/bin/python from __future__ import print_function import os, sys from SimpleCV import * from nose.tools import with_setup testoutput = "sampleimages/cam.jpg" def test_virtual_camera_constructor(): mycam = VirtualCamera(testoutput, 'image') props = mycam.getAllProperties() for i in props.keys():...
#!/usr/bin/env python # # Electrum - lightweight Bitcoin client # # 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, ...
from typing import Any, Dict, List, Optional from chinilla.rpc.farmer_rpc_api import PlotInfoRequestData, PlotPathRequestData from chinilla.rpc.rpc_client import RpcClient from chinilla.types.blockchain_format.sized_bytes import bytes32 from chinilla.util.misc import dataclass_to_json_dict class FarmerRpcClient(RpcC...
import os import numpy as np import torch import torch.utils.data as data import random import tqdm from PIL import Image class FaceDataset(data.Dataset): def __init__(self, data_dir, ann_file, transforms=None, augmenter=None,im_info=[112,96]): assert transforms is not None self.root = data_dir ...
from bottle import default_app, route, run, static_file, template, install, request, response, redirect import bottle from bottle_sqlite import SQLitePlugin from datetime import date, datetime, timedelta import random import string from parser import Parser from functools import wraps import logging app=application=de...