content stringlengths 5 1.05M |
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#!/usr/bin/env python
"""remove_all_layers_workspace_geoserver.py: removes all layers in a workspace and (TODO) removes the linked metadata in the catalogue"""
import argparse
import requests
from sys import exit
from util.geoserver_client import *
from util.csw_client import *
from lxml import etree, objectify
import ... |
import argparse
import os
import numpy as np
import cv2
from skimage.feature import local_binary_pattern
from tqdm import tqdm
# This script will be used to generate a set of lbps at different scale for each trainning and validation stereo pairs
def update_filenames (train_file, dataset_foldername):
with open(tra... |
from collections import defaultdict
import torch
import numpy as np
class MessageAggregator(torch.nn.Module):
"""
Abstract class for the message aggregator module, which given a batch of node ids and
corresponding messages, aggregates messages with the same node id.
"""
def __init__(self, device):
super... |
from googletrans import Translator
def translate(text, dest):
translator = Translator()
return (translator.translate(text, dest=dest))
|
"""
Copyright Ouwen Huang 2019
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
d... |
"""This submodule contains the path_parse() function used to convert SVG path
element d-strings into svgpathtools Path objects.
Note: This file was taken (nearly) as is from the svg.path module (v 2.0)."""
# External dependencies
from __future__ import division, absolute_import, print_function
import re
import numpy a... |
from datetime import datetime
from unittest import IsolatedAsyncioTestCase
from unittest.mock import MagicMock, patch
from bot.bot import on_message
from test.mocks import MockAuthor, MockChannel, MockMessage, AsyncMock
class TestBot(IsolatedAsyncioTestCase):
@classmethod
def setUpClass(self) -> None:
... |
import ckan.logic.schema
from routes.mapper import SubMapper
from ckan.lib.plugins import DefaultTranslation, DefaultOrganizationForm
from ckan.plugins import (
implements, IConfigurer, IGroupForm, IRoutes, SingletonPlugin, IActions,
IConfigurable, IDatasetForm, IValidators, ITranslation, IPackageController)
fr... |
#!/usr/bin/python
import csv
import numpy as np
import pandas as pd
import random
DEVTESTSIZE = 2000
trainData = []
devData = []
testData = []
inFile = "finalTrainData.csv"
iTrainFile = open(inFile, "r")
readerTrain = csv.reader(iTrainFile, delimiter=',', quotechar='"', quoting=csv.QUOTE_ALL)
outTrainFile = "model... |
class Connections(object):
pass
CONNECTIONS = Connections()
|
#Program to find out that whether a given input integer No. is Prime or Not
a=int(input()) #Here we are taking the input No. from the user
t=0 #Initializing "t" as 0 for further use.
for i in range(1,a+1): #Constructed a loop for checking a No. from 1 to the position of the No. itself to find out that whether the No... |
from pyzbar.pyzbar import decode
from PIL import Image
a=decode(Image.open('soosai.png'))
print(a)
|
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.models import model_from_json
from tensorflow.keras.optimizers import Adam
import numpy as np
import time
import ... |
# IMPORTS
import time
import numpy as np
import torch
from torch import nn
from flair.embeddings import (
Sentence,
RoBERTaEmbeddings,
BertEmbeddings,
XLNetEmbeddings,
OpenAIGPT2Embeddings,
)
from sklearn.model_selection import train_test_split
from sklearn.metrics import precision_recall_fscore_sup... |
"""Show augmented samples from training runs
by slicing the saved training samples.
"""
import os
from os.path import join
import yaml
from glob import glob
from pathlib import Path
import torch
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pylab as plt
from PIL import Image
mpl.rcPa... |
from PyQt5.QtCore import QDir, Qt, QUrl, QSettings
from PyQt5.QtMultimedia import QMediaContent, QMediaPlayer
from PyQt5.QtMultimediaWidgets import QVideoWidget
from PyQt5.QtWidgets import (QApplication, QFileDialog, QHBoxLayout, QLabel, QMessageBox, QCheckBox,
QPushButton, QSizePolicy, QSl... |
#Maximum sub array
# Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.
# https://leetcode.com/problems/maximum-subarray/
def maxSubArray( nums):
global_max = nums[0]
current_max = nums[0]
local_start = 0
start = 0
... |
from streamer import Stream
from streamer.operator import RepeatApply
from streamer.collector import Collector
from .util import identity
def test_basic():
s1 = Stream(range(10)) \
.concat(range(20)) \
.exclude(lambda x: x % 4) \
.map(lambda x: x - 1) \
.collect(lis... |
#!/usr/bin/env python3
import matplotlib
import matplotlib.pyplot as plt
from collections import defaultdict
import numpy as np
lengths = defaultdict(list)
lib_count = defaultdict(int)
lib="good"
lengths[lib].append(20)
lengths[lib].append(30)
lengths[lib].append(100)
lengths[lib].append(330)
lengths[lib].append(10... |
import json
from sklearn.feature_extraction import DictVectorizer
from sklearn import preprocessing
import numpy as np
from lasagne import layers
from lasagne import init
import lasagne
from lasagne.updates import sgd,nesterov_momentum
from nolearn.lasagne import NeuralNet
import theano
import sys
import process_bl... |
import os
from plottr import QtGui, QtCore, plottrPath
gfxPath = os.path.join(plottrPath, 'resource', 'gfx')
# The pyqt versions shipped by anaconda (both main channel and conda forge)
# are not able to render svg icons if the QIcon is created before the
# main qapp is up and running. To work around this we wrapp all... |
import gray_code
import os
def write_gray_code_1d(n=7, m=7, filename='gray_lookup_1d.txt'):
"""write a 1-D Gray code to disk in a Max/MSP-friendly way"""
string = 'table '
code = gray_code.single_1d_gray_code(n=n, m=m, do_print=True)
for value in code.values():
string += '%i ' % value
if ... |
import serial # import pySerial module
def getweight(self):
try:
ComPort = serial.Serial('COM3') # open the COM Port
ComPort.baudrate = 2400 # set Baud rate
ComPort.bytesize = 8 # Number of data bits = 8
ComPort.parity = 'N' # No parity
ComPort.sto... |
import numpy as np
import linearRegCostFunction as lrcf
import scipy.optimize as opt
def train_linear_reg(X, y, lmd):
initial_theta = np.ones(X.shape[1])
res = opt.minimize(lrcf.linear_reg_cost_function, initial_theta, args=(X, y, lmd), method='TNC',
jac=lrcf.linear_reg_grad_function)
... |
#!/usr/bin/env python3
import numpy as np
werte = np.loadtxt("reaktionzeit.dat",dtype=np.float64)
mw = np.mean(werte)
sa = np.sqrt((np.sum((werte - mw)**2))/(werte.size - 1))
print("Mittelwert:\t\t", mw)
print("Standardabweichung\t", sa) |
import requests
import threading
import unittest
import rocket3
def demo_app(environ, start_response):
start_response(200, "Hello World")
class SimpleTest(unittest.TestCase):
def start_server(self):
rocket = rocket3.Rocket3(("127.0.0.1", 8007),
"wsgi",
... |
from setuptools import setup, find_packages
setup(name = 'spiro',
version = '1.0b2',
packages = find_packages(),
scripts = ['bin/spiro'],
install_requires = ['picamera==1.13', 'RPi.GPIO==0.6.5', 'Flask==1.1.1', 'waitress==1.4.3', 'numpy==1.18.1'],
author = 'Jonas Ohlsson',
author_ema... |
n = int(raw_input())
a=[]
for i in range(n):
temp = [int(x) for x in raw_input().split()]
a.append(temp)
visited=[]
s,d = map(int,raw_input().split())
def dfs(row,val):
print row,d
temp=row[d]
if temp==1:
return val
for i in row:
if i==1 and i not in visited:
dfs(i,... |
from typing import Optional
import gym
import numpy as np
import rdkit
from nfp.preprocessing.mol_preprocessor import MolPreprocessor
from rdkit.Chem.QED import qed
from rlmolecule.graph_gym.graph_problem import GraphProblem
from rlmolecule.molecule.builder.builder import MoleculeBuilder
from rlmolecule.molecule.mole... |
# Copyright 2015 kornicameister@gmail.com
# Copyright 2016-2017 FUJITSU LIMITED
#
# 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 ... |
#!/usr/bin/env python3
# -*- config: utf-8 -*-
from tkinter import *
def enter_leave(event):
if str(event.type) == 'Enter':
event.widget['text'] = 'In'
elif str(event.type) == 'Leave':
event.widget['text'] = 'Out'
root = Tk()
lab1 = Label(width=20, height=3, bg='white')
lab1.pack()
lab1.bi... |
class Node:
def __init__(self,data=None,next=None):
self.data = data
self.next = next
class LinkedList:
def __init__(self):
self.head = None
def insert_at_begining(self,data): #inserting_at_begining of the linked list
node = Node(data,self.head)
self.head = node
... |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: command.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobu... |
## Filters.py
# ------------------------- #
# Description:
# A collection of functions which implement functions
# required by different filtering strategies.
# ------------------------- #
# Created by: Ashiv Dhondea, RRSG, UCT.
# Date created: 23 June 2016
# Edits:
# 7 July 2016: added functions for Gauss-New... |
def _time(hour, minute):
total = 60 * hour + minute
return (total // 60) % 24, total % 60
class Clock(object):
def __init__(self, hour, minute):
self.h, self.m = _time(hour, minute)
def __repr__(self):
return "{:02d}:{:02d}".format(self.h, self.m)
def __eq__(self, other):
... |
from django import template
from ..utils import can_use_oauth_check
register = template.Library()
@register.filter
def backend_name(name):
"""Human readable mapping for the social auth backend"""
return {
'google-oauth': 'Google OAuth',
'google-oauth2': 'Google OAuth',
'google-openid... |
"""
Module containing all lark internal_transformer classes
"""
from collections import defaultdict
import re
from typing import Any, DefaultDict, Dict, List, Set, Tuple, Union
import ibis
from ibis.expr.operations import CrossJoin
from ibis.expr.types import AnyColumn, TableExpr
from lark import Token, Tree, v_args
... |
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import pickle
from matplotlib.colors import Normalize
from matplotlib import rc
from matplotlib.colors import LogNorm
import glob
import ipdb
from matplotlib.colors import LogNorm
import h5py as h5
methods = ["ienks-transform", "ienks-n-transform... |
'''
Created on 19 Oct 2013
@author: UserX
'''
NAME = '%s'
DISPLAY_NAME = '%s'
MODULE_NAME = 'devdetect'
CLASS_NAME = 'lockwatcherSvc'
DESCRIPTION = 'Monitors for possible tampering and reacts accordingly'
AUTO_START = True
SESSION_CHANGES = True |
try:
import flask
except ImportError:
import sys
print("tokenapp extras reqired to run this")
sys.exit(1)
import msal
from . import settings, auth
app = flask.Flask(__name__)
msal_client = msal.PublicClientApplication(
authority=settings.AUTH_ENDPOINT,
client_id=settings.CLIENT_ID,
)
@app... |
import glob
import os
import shlex
import tarfile
import tempfile
import zipfile
from typing import Iterable, List, Optional, Set, Union
from redun.executors.scratch import get_code_scratch_file
from redun.file import File
from redun.hashing import hash_stream
def find_code_files(
basedir: str = ".", includes: O... |
"""lcc - Leipzig Corpora Collection.
Usage:
dasem.lcc get-all-tokenized-sentences [options]
dasem.lcc data-directory
dasem.lcc download
dasem.lcc download-file <file>
dasem.lcc get-sentence-words [options]
dasem.lcc get-sentence-words-from-file [options] <file>
dasem.lcc get-sentences [options]
dasem.l... |
input = """
true.
i(a).
h(a,a).
% safe constraints
:- i(Y), i(X), not h(X,Y).
:- i(X), not h(X,X).
:- not i(a).
% unsafe constraints
:- not h(X,Y).
:- i(X1), not h(X1,X2).
:- i(X2), not h(X1,X2).
"""
output = """
true.
i(a).
h(a,a).
% safe constraints
:- i(Y), i(X), not h(X,Y).
:- i(X), not h(X,X).
... |
EMAIL_USE_TLS = True
EMAIL_HOST = 'smtp.gmail.com'
EMAIL_HOST_USER = 'youremail@gmail.com'
EMAIL_HOST_PASSWORD = 'yourpassword'
EMAIL_PORT = 587
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Leonardo La Rocca
"""
import melopero_RV_3028 as mp
import datetime
import time
def main():
# First initialize and create the rtc device
rtc = mp.RV_3028()
# Set the device to use the 24hour format (default) instead of the 12 hour format
rtc... |
import os
import re
import sys
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
def _get_version():
v_file_path = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'huskar_sdk_v2', '__init__.py')
ver_info_str = re.compile... |
import logging
from colorama import init, Fore, Back, Style
init(autoreset=True)
logging.basicConfig(level=logging.WARNING)
class LogMachine():
def __init__(self):
pass
def log_info(self, message):
logging.info(Fore.YELLOW + "\t" + message)
def log_error(self, message):
... |
#!/usr/bin/env python3
__author__ = 'dev'
from fake_services.service.webservice.fake_web_server_manager import FakeWebServerManager
from fake_services.service.networkservice.fake_dns_server_manager import FakeDnsServerManager
config = {
"/test":
[
{
"response_content_path": "req... |
#####################################################################
#
# I should probably add a description for balrog!
#
#
# Spencer Everett
# UCSC
# 12/10/2017
#####################################################################
import numpy as np
import random as rand
import os, sys, errno
import cPickle as pick... |
''' This program is useful when you want to add two numbers.
It reads from the user 2 input and returns its sum
def add():
x = input("Please Give me a number: ")
y = input("Input another one: ")
return ("The sum of %s and %s is %s") % (x,y,x+y)
print add()
|
def check_predictors_present(data_set, predictor_subset):
"""Check if all predictors in predictor_subset are present
as columns in the data_set dataframe."""
key_word_predictors = ['temporal', 'all']
for predictor in predictor_subset:
if (
predictor not in data_set.columns and... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from bot import Bot
if __name__ == "__main__":
bot = Bot()
bot.start() |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributed as dist
from mmcv.cnn import normal_init
import numpy as np
from mmdet.core import (sigmoid_focal_loss, iou_loss, multi_apply,
multiclass_nms, distance2bbox)
from mmdet.core import (AnchorGenerator, ancho... |
from date import Date
class Assignment:
def __init__(self):
self.name = 'Untitled'
self.start_date = Date()
self.due_date = Date()
self.end_date = Date()
def prompt(self):
self.name = input('Name: ')
print('\nStart Date:')
self.start_dat... |
# -*- coding: utf-8 -*-
"""Top-level package for Python Slide Tools - pic2slide."""
__author__ = """Weibo Ren"""
__email__ = 'renweibo@gmail.com'
__version__ = '0.1.0'
|
import ROOT
import argparse
import pickle
import bz2
import os
import time
"""
Stand alone script to convert root files of alpsIO class to python files on alpsdaq2
"""
if __name__ == "__main__":
usage = "usage: %(prog)s -i infile -o outdir"
description = "Convert root alpsIO files to python pickle files"
... |
"""
j2lsnek, a python-based list server for Jazz Jackrabbit 2
By Stijn (https://stijn.chat)
Thanks to DJazz for a reference implementation and zepect for some misc tips.
"""
import urllib.request
import urllib.error
import subprocess
import importlib
import logging
import sqlite3
import socket
import json
import time... |
from random import choice
COLORS = ('white', 'yellow', 'purple', 'red')
class Ghost(object):
def __init__(self):
self.color = choice(COLORS)
|
import sys
import shutil
import re
import time
from addict import Dict
from tqdm import tqdm
symbols = Dict({
'prev_line': '\033[F',
'red': '\033[91m',
'green': '\033[92m',
'blue': '\033[94m',
'cyan': '\033[96m',
'white': '\033[97m',
'yellow': '\033[93m',
... |
from django.db import models
from django.contrib.auth.models import User
from django.utils.translation import ugettext_lazy as _
class UserProfile(models.Model):
user = models.ForeignKey(User, unique=True)
# http://www.turnkeylinux.org/blog/django-profile
User.profile = property(lambda u: UserProfile.objects.get_... |
EVTCAN = "EVTCAN"
OPENCAN = "OPENCAN"
class HandlerAssociator(type):
def __new__(cls, clsname, bases, dct):
class_frame = type.__new__(cls, clsname, bases, dct)
handlers = []
for attribute in dct.values():
if(hasattr(attribute,'match')):
handlers.append(attribu... |
# -*- coding: utf-8 -*-
__version__ = '1.9.7'
import gevent
from gevent.local import local
from zask.config import Config
from zask.logging import create_logger
from zask.utils import get_root_path
class Zask(object):
def __init__(self, import_name):
self.default_config = {
'DEBUG': True,
... |
import pandas as pd
import xml.etree.ElementTree as ET
from lxml import etree
import sys
from random import shuffle
category = ""
def __init__(self, category):
self.category = category
def define_file_names_pos_neg(category):
file_name = '../data/test_data_raw/'+category+'.xml'
return file_name
def pa... |
import requests
import json
import csv
domain = 'http://localhost:3000/'
domain = "http://www.elixirdoc.com:3000/"
headers = {'content-type': 'application/json'}
"""Utils"""
def read_json(file_name):
with open(file_name, 'r') as input_file:
return json.load(input_file)
def read_csv(file_name):
data = ... |
from itertools import chain, cycle
def spiral_coords():
"""Generate sequence of coordinates."""
spiral, pos = 1, [0, 0]
#yield tuple(pos)
while True:
pos[0] += 1 # Step in the next spiral
yield tuple(pos)
for axis, offs in [(1, 1), (0, -1), (1, -1), (0, 1)]:
while o... |
import pathlib
from tempfile import NamedTemporaryFile
import numpy as np
import pandas as pd
import pytest
from numpy import testing as npt
from pandas import testing as pdt
from vascpy import specs
from vascpy.exceptions import VasculatureAPIError
from vascpy.point_vasculature import PointVasculature
DATAPATH = pa... |
#!/usr/bin/env python
# A module for facilitating reading and writing of binary wiggle file data.
import commands, math, os, pdb, random, string, struct, sys
# Simple utility function for reversing elements of an input array:
def reverse(inArray):
outArr = []
idx = 1
while (idx <= len(inArray)):
... |
from sq_python_helpers.FundUsingFriendbot import fund_using_friendbot
from sq_python_helpers.GenerateKeypair import generate_keypair
from sq_python_helpers.LoadKeyInformation import load_key_information
from sq_python_helpers.SetupServerConnection import setup_server_connection
from sq_python_helpers.SubmitHashTransact... |
# Generated by Django 3.2.2 on 2021-06-29 12:48
from collections import defaultdict
from django.db import migrations, models
def set_finished_at(apps, schema_editor):
Pod = apps.get_model('kra', 'Pod')
Container = apps.get_model('kra', 'Container')
pods = Pod.objects.in_bulk(field_name='id')
contai... |
# GIS4WRF (https://doi.org/10.5281/zenodo.1288569)
# Copyright (c) 2018 D. Meyer and M. Riechert. Licensed under MIT.
import os
from collections import namedtuple
import numpy as np
import pytest
from gis4wrf.bootstrap import bootstrap
for t, v in bootstrap():
print('{}: {}'.format(t, v))
from gis4wrf.core.cons... |
# generated from genmsg/cmake/pkg-genmsg.context.in
messages_str = "/home/xtark/ros_ws/src/vslam/rtabmap_ros/msg/Info.msg;/home/xtark/ros_ws/src/vslam/rtabmap_ros/msg/KeyPoint.msg;/home/xtark/ros_ws/src/vslam/rtabmap_ros/msg/MapData.msg;/home/xtark/ros_ws/src/vslam/rtabmap_ros/msg/MapGraph.msg;/home/xtark/ros_ws/src/v... |
#!/usr/bin/python2.7
#capture the request packet from client and save to a queue using iptables and alter send or recieve modified packet
#iptables commands iptables -I FORWARD -j NFQUEUE --queue-num 0
import netfilterqueue
def process_packet(packet):
print packet
packet.accept()
queue = netfilterqueue.NetfilterQ... |
# @copyright@
# Copyright (c) 2006 - 2019 Teradata
# All rights reserved. Stacki(r) v5.x stacki.com
# https://github.com/Teradata/stacki/blob/master/LICENSE.txt
# @copyright@
#
# @rocks@
# Copyright (c) 2000 - 2010 The Regents of the University of California
# All rights reserved. Rocks(r) v5.4 www.rocksclusters.org
# ... |
from typing import Any
from pydantic import BaseModel
class Error(BaseModel):
"""
Error holder
"""
message: str
values: dict[str, Any]
stacktrace: str
|
import torch
from sklearn.metrics import accuracy_score, precision_score, recall_score, \
f1_score, confusion_matrix
import numpy as np
# Load the datasets ####################################
from nldrp.dnn.modules.dataloading import EmotionDataset
from nldrp.dnn.modules.models import EmotionModel
from nldrp.dnn.u... |
#!/usr/bin/env python
def hinge(x):
if 1 - x > 0:
return 1 - x
else:
0
def main():
print("Start training")
# [4, 5]
dataset = [[2.0, 3.0, 0.0, 5.0, 2.8], [3.0, 4.0, 5.0, 0.0, 0.0],
[0.5, 0.3, 0.7, 0.9, 0.0], [-2.0, 0.1, 0.2, 0.9, 0.0]]
# [4]
labels = [1, 1, -1, -1]
feature_size ... |
# Copyright 2018-2021 Alvaro Bartolome, alvarobartt @ GitHub
# See LICENSE for details.
import json
from datetime import date, datetime, timedelta
from random import randint
import pandas as pd
import pytz
import requests
from lxml.html import fromstring
from .constant import FUNDS_INTERVAL_FILTERS, INTERVAL_FILTERS... |
import logging
import os
import requests
import yaml
from fastapi.testclient import TestClient
from document.config import settings
from document.entrypoints.app import app
logger = settings.logger(__name__)
def test_send_email_with_ar_nav_jud_pdf() -> None:
"""
Produce verse level interleaved document for... |
# Copyright (c) 2009-2017, Matthew Brett and Christoph Gohlke
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source code must retain the above copyright... |
#Import
from time import sleep
#Setting a custom mac address
custom_mac = "11:22:33:44:55:66"
def on_eth_msg_received(msg):
#Checking if source mac address in the message equals to custom_mac
#we can also check if deestination mac address equals to Loopback adapter Mac address
if msg.mac_address_source ==... |
from vpython import *
#GlowScript 2.7 VPython
# Create a simple scrolling text object
scene.width = scene.height = 250
scene.title = 'This is a test'
B = box(pos=vec(0.1,0.2,0))
# Create a textarea element on the web page, below the box object.
# $ stands for jQuery, an important web page addition to JavaScript.
# The... |
# coding: utf-8
"""
service.proto
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: version not set
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_impor... |
from data_processing.categorizer import Categorizer
from config import search_categories
# Categorizer
def test_compile_category_words():
"""Creates dict of words from jobs in each category"""
categorizer = Categorizer()
categorizer.compile_category_words(test = True)
for category in search_categori... |
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim
from torchvision import models
import sys
from utils.utilities import matrix_mul, element_wise_mul
from utils.pytorchtools import EarlyStopping
import numpy as np
import time
import copy
import math
import os
import glob
... |
#!/usr/bin/python
# Example 4 from TensorFlow tutorial
# set logging folder
from globals import TESTSUITE_DIR
logDir = TESTSUITE_DIR + "/faultLogs/"
confFile = TESTSUITE_DIR + "/confFiles/injections_config.yaml" #specify the config file
# ***the call to TensorFI to instrument the model must include these directori... |
# Python3 implementation of the approach
# Function to print the requried pattern
def drawPattern(N) :
n = N;
row = 1;
# 'nst' is the number of values
nst = 1;
# 'nsp' is the number of spaces
nsp1 = n - 1;
nsp2 = -1;
val1 = row;
val2 =... |
# coding=utf-8
# http://poj.org/problem?id=3250
# 牛头向右，每头牛能看到多少牛
class Solution(object):
def cow_see(self, cows):
# 暴力
# O(n^2)
result = [0] * len(cows)
for i in range(len(cows)-1):
for j in range(i+1, len(cows)):
if cows[j] <= cows[i]:
... |
from logging.config import fileConfig
fileConfig('./appIng/logging.cfg')
#fileConfig('./logging.cfg')
|
"Opencv Drawing"
import numpy as np
import cv2
from numpy.core.fromnumeric import size
from numpy.random import randint
# Initialize our canvas of certain size with 3 channels
canvas = np.zeros((300, 300, 3), dtype='uint8')
# Drawing a green line from top left corner
green = (0, 255, 0)
cv2.line(canvas, pt1=(0, 0... |
import numpy as np
import pandas as pd
import os
import matplotlib
matplotlib.use('pdf')
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import adjusted_rand_score
from sklearn.preproce... |
import os
import pandas as pd
import numpy as np
from collections import Counter
import re
from dataloader import *
import joblib
import optparse
# function to transform hours and minutes to seconds
def trans_seconds(time_list):
seconds_list = []
seconds = 0
for i in range(len(time_list)):
... |
# ----------------------------------------------------------------
# Copyright 2017 Cisco Systems
#
# 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/LICENS... |
from django.shortcuts import render,get_list_or_404
from .models import Job
# Create your views here.
def homepage(request):
jobs= Job.objects
return render(request,'jobs/home.html',{'jobs':jobs})
def detail(request,job_id):
job_detail = get_list_or_404(Job,pk=job_id)
print("yay",job_detail)
retur... |
# Copyright (c) 2018, Vanessa Sochat All rights reserved.
# See the LICENSE in the main repository at:
# https://www.github.com/openschemas/openschemas-python
from openschemas.logger import bot
from openschemas.utils import (
read_yaml,
read_file,
write_yaml
)
import frontmatter
import os
import sys
i... |
import sys
sys.stdin = open('2568.txt')
A = [0 for _ in range(500001)]
N= int(input())
max_n = 0
for _ in range(N):
a,b = map(int, input().split())
max_n = max(a, max_n)
A[a] = b
len = [[0,0] for _ in range(500001)]
node = [0 for _ in range(500001)]
idx = 0
def low_binary(last, find):
low = 0
h... |
##########################################################################
# Copyright (c) 2013, ETH Zurich.
# All rights reserved.
#
# This file is distributed under the terms in the attached LICENSE file.
# If you do not find this file, copies can be found by writing to:
# ETH Zurich D-INFK, CAB F.78, Universitaetstr... |
from __future__ import print_function, division
import csv
import functools
import json
import os
import random
import warnings
import numpy as np
import torch
from pymatgen.core.structure import Structure
from torch.utils.data import Dataset, DataLoader
from torch.utils.data.dataloader import default_collate
from to... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 4 21:33:10 2019
@author: george
"""
import numpy as np
import matplotlib.pyplot as plt
def plot_prob_state( state_probs, state = 1, index_real = None,
real_state = None, name = None):
"""
plo... |
import logging
from cinp.client import CInP, NotFound
class Contractor():
def __init__( self, site, host, root_path, proxy ):
super().__init__()
self.module_list = []
self.site = '{0}Site/Site:{1}:'.format( root_path, site )
self.cinp = CInP( host=host, root_path=root_path, proxy=proxy )
def set... |
import argparse
import json
import os
import os.path
import tensorflow as tf
from tensorflow import keras
import common
SPLIT_PERCENTAGE = 0.8
BATCH_SIZE = 32
NUM_EPOCHS = 15
def main():
output_dir = os.path.abspath('output')
records_dir = os.path.abspath('records')
metadata_file = os.path.abspath('sbubby_metada... |
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