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import pkg_resources
import re
import requests
import numpy as np
import scipy as sp
import scipy.sparse
import scipy.sparse.linalg
from . import index
__all__ = ['PowerNetwork', 'load_case']
class PowerNetwork:
def __init__(self, basemva, bus=None, gen=None, gencost=None, branch=None, perunit=True):
i... |
import argparse
from contextlib import contextmanager
from ipaddress import ip_network
import logging
import sys
from typing import Generator, Optional
from greensim import Simulator, Signal, advance, local, now, Process, add
from greensim.logging import Filter
from greensim.random import VarRandom, constant, normal, ... |
import torch
import torch.nn as nn
from torch.nn import Parameter
import torch.nn.functional as F
import numpy as np
class Identity(torch.nn.Module):
def __init__(self):
super(Identity, self).__init__()
def forward(self, x):
return x
class Flatten(nn.Module):
def forward(self, input):
... |
import torch
from torch.utils.data import Dataset, DataLoader
import torchvision
from torchvision import transforms
import torch.nn as nn
import os
import glob
import numpy as np
import time
import cv2
from einops import rearrange, reduce, repeat
from PIL import Image
#from utils.augmentations import SSDAugmentation,... |
import json
import pathlib
from datetime import datetime, timezone
from typing import Union, List
from dateutil.parser import isoparse
from discord.ext.commands import Context, Cog, Bot, command
from discord.ext import tasks
from discord import (
Embed,
Colour,
File,
Member,
User,
Role,
Gui... |
from .ray import *
from numpy import *
import matplotlib.pyplot as plt
import pickle
import time
import os
""" A group of rays kept as a list, to be used as a starting
point (i.e. an object) or as a cumulative detector (i.e. at an image
or output plane) for ImagingPath, MatrixGroup or any tracing function.
Subclasses ... |
import re
import sys
import os
import json
import argparse
from collections import OrderedDict
class TestJobResult:
def __init__(self, status, job_url, step_failed):
self.job_url = job_url
self.status = status
self.step_failed = step_failed
def summarize_test():
return ''
... |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云(BlueKing) available.
Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may obt... |
"""
File Backends
------------------
Provides backends that deal with local filesystem access.
"""
import collections
import hashlib
import io
import os
import pickle
import tempfile
import time
from shutil import copyfileobj
from dogpile.cache.api import CacheBackend, NO_VALUE, CachedValue
from . import registry
... |
import copy
import math
from connectfour.agents.computer_player import RandomAgent
def close_to_win(board, id):
score = 0
board_cp = copy.deepcopy(board)
for i in range(board_cp.width):
if board_cp.try_move(i) == -1:
continue
sub_board = board_cp.next_state(id, i)
if s... |
from PIL import Image, ImageDraw, ImageFont
import json
import base64
import math
from io import BytesIO
import sys
tile_images = Image.open('./mahjong_tiles/tiles.png')
xsize, ysize = tile_images.size
tile_width = xsize // 10
tile_height = ysize // 4
tile_names = ['1m','2m','3m','4m','5m','6m','7m','8m','9m','0m',
... |
import matplotlib.pyplot as plt
import numpy as np
import numpy.random as rng
import scipy.special as scp
import os
import writer
import main
#Same as above, but random
def random_airfoil_eval(n,param,boundary,control,forces_control):
#Random stuff
par={'n':n, 'deg':int(rng.rand(1)*10), 'N1':rng.rand(1), 'N2':rng.r... |
# Problem Set 4C
# Name: <NAME>
# Collaborators:
# Start: 27.12.2020 14:50
# End: 29.12.2020 18:15
# EncryptedSubMessage decrypt_message() returns words that are not necessarily the original, though they are valid
# To run unit tests, type pytest in the terminal
import string
from ps4a import get_permutations
### HEL... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 10 11:15:49 2018
# Congo basin tree fraction using 2018 dataset with gain
@author: earjba
"""
import numpy as np
import importlib
import iris
import iris.quickplot as qplt
import matplotlib.pyplot as plt
from datetime import datetime, timedelta
fro... |
import json
import logging
import re
from typing import Dict
from bs4 import BeautifulSoup
LOG = logging.getLogger('scrapper.macrotrends.Parser')
class ParserError(Exception):
def __init__(self, error, parsing_content):
self.message = f'failed to parse: {error}'
LOG.exception(self.message)
... |
"""Sample API Client."""
import json
from datetime import datetime, timedelta
import asyncio
import logging
import socket
import aiohttp
import async_timeout
from custom_components.wellbeing.const import SENSOR, FAN, BINARY_SENSOR
from homeassistant.components.binary_sensor import DEVICE_CLASS_CONNECTIVITY
from home... |
import math
import numpy as np
import torch
from torch import nn
import copy
import random
import concurrent.futures
## Distributions
def generate_gaussian_parity(n, cov_scale=1, angle_params=None, k=1, acorn=None):
""" Generate Gaussian XOR, a mixture of four Gaussians elonging to two classes.
Class 0 cons... |
from nnet.models.srl import *
from nnet.run.runner import *
from nnet.ml.voc import *
from nnet.run.srl.run import *
from nnet.run.srl.util import *
from nnet.run.srl.decoder import *
from functools import partial
from nnet.run.srl.read_dependency import get_adj
import nnet.run.srl.conll09_evaluation.eval
def make_l... |
import time
from datetime import date, datetime, timedelta
import base64
import requests
import urllib.parse
import hashlib
import hmac
import sys
import os
import csv
from dotenv import load_dotenv
load_dotenv()
api_key = os.environ.get("API_KEY")
api_secret = os.environ.get("API_SECRET")
token_pair = os.environ.get... |
# 1. Only add your code inside the function (including newly improted packages).
# You can design a new function and call the new function in the given functions.
# 2. For bonus: Give your own picturs. If you have N pictures, name your pictures such as ["t3_1.png", "t3_2.png", ..., "t3_N.png"], and put them inside t... |
import requests
import os
import json
import re
class ReadmeApi(object):
def __init__(self):
super().__init__()
self.doc_version = None
def authenticate(self, api_key):
r = requests.get('https://dash.readme.com/api/v1', auth=(api_key, ''))
if r.status_code != 200:
r... |
import json
import requests
import os
import time
from enum import Enum
from config import Config as cfg
import mod_gamesense_logger as logger
class Mode(Enum):
COUNT = "count"
PERCENT = "percent"
COLOR = "color"
CONTEXTCOLOR = "context-color"
class JsonBase():
de... |
#-*- coding: utf-8 -*-
#!/usr/bin/python3
"""
Copyright (c) 2020 LG Electronics Inc.
SPDX-License-Identifier: MIT
"""
import pytest
def test_core_image_minimal_do_report(test_build):
o = test_build.shell.execute("bitbake core-image-minimal -c report")
assert o.stderr.contains("ERROR: Task do_report does not... |
# -*- coding: UTF-8 -*-
import numpy as np
import pandas as pd
import itertools
import csv
import gensim
import re
import nltk.data
import tensorflow
from nltk.tokenize import WordPunctTokenizer
from collections import Counter
from keras.models import Sequential, Graph
from keras.layers.core import Dense, Dropout, Acti... |
#!/usr/bin/env python3
import os
import csv
from itertools import dropwhile, takewhile
import re
# https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/index.json
# /offers/v1.0/aws/AmazonEC2/current/index.json
# /offers/v1.0/aws/AmazonEC2/current/region_index.json
# /offers/v1.0/aws/AmazonEC2/20190612230233/ap-sou... |
import random
import torch
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch.utils.data import RandomSampler, BatchSampler
from .utils import calculate_accuracy, Cutout, calculate_accuracy_by_labels, calculate_FP, calculate_FP_Max
from .newtrainer import Trainer... |
import unittest
from unittest.mock import MagicMock, patch
from collections import Counter, deque
from PyQt5.QtWidgets import QMainWindow
from extra_foam.logger import logger
from extra_foam.gui import mkQApp
from extra_foam.gui.windows import (
BinningWindow, CorrelationWindow, HistogramWindow, PumpProbeWindow, ... |
import unittest
from typing import TypeVar, List, Type
from xrpc.abstract import BinaryQueue, Queue, HeapQueue, KeyedQueue
A1 = [1, 2, 2, 3, 3, 3]
A2 = [1, 2, 3, 3, 3]
A3 = []
A4 = [1]
T = TypeVar('T')
def ex(q: Queue[T]) -> List[T]:
r = []
while True:
try:
r.append(q.pop())
ex... |
#!/usr/bin/python
# API Gateway Ansible Modules
#
# Modules in this project allow management of the AWS API Gateway service.
#
# Authors:
# - <NAME> <github: bjfelton>
# - <NAME> <github: mestudd>
#
# apigw_api_key
# Manage creation, update, and removal of API Gateway ApiKey resources
#
# MIT License
#
# Copyrig... |
# Copyright 2018 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 applicable law or agreed to in writing,... |
# Copyright (c) 2020 Software AG,
# Darmstadt, Germany and/or Software AG USA Inc., Reston, VA, USA,
# and/or its subsidiaries and/or its affiliates and/or their licensors.
# Use, reproduction, transfer, publication or disclosure is prohibited except
# as specifically provided for in your License Agreement with Softwar... |
# /usr/bin/env python
import os
import fire
import webbrowser
from nexinfosys.bin.cli_script import set_log_level_from_cli_param, prepare_base_state, print_issues
from enbios.common.helper import list_to_dataframe, generate_workbook
from enbios.input.data_preparation.lci_to_nis import SpoldToNIS
from enbios.input.dat... |
# coding: utf-8
# # Extract NECOFS data using NetCDF4-Python and analyze/visualize with Pandas
# In[1]:
# Plot forecast water levels from NECOFS model from list of lon,lat locations
# (uses the nearest point, no interpolation)
import netCDF4
import datetime as dt
import pandas as pd
import numpy as np
import matplo... |
'''
Assigning values to the grid
The grid will look like this:
0,0 | 0,1 | 0,2 | 0,3 | 0,4 | 0,5 | 0,6
1,0 | 1,1 | 1,2 | 1,3 | 1,4 | 1,5 | 1,6
2,0 | 2,1 | 2,2 | 2,3 | 2,4 | 2,5 | 2,6
3,0 | 3,1 | 3,2 | 3,3 | 3,4 | 3,5 | 3,6
4,0 | 4,1 | 4,2 | 4,3 | 4,4 | 4,5 | 4,6
5,0 | 5,1 | 5,2 | 5,3 | 5,4 | 5,5 | 5,6
'''
N... |
#!/usr/bin/python
import os, sys, signal, datetime, calendar, json, appdirs
PROGRESS_BAR_LENGTH = 50
USER_DATA_DIR = appdirs.user_data_dir("eventoftheday", "tedski999")
API_URL = "https://en.wikipedia.org/api/rest_v1/feed/onthisday/all"
EVENT_CATEGORIES = {
"births" : "Birthday wishes to {0}",
"deaths" : "Res... |
"""Defines metrics used to evaluate uncertainty."""
import numpy as np
from scipy.stats import norm
from utils.util import to_one_hot
def gaussian_nll(y, mu, var):
"""Calculates the negative log likelihood of Gaussian distribution.
Args:
y: numpy array, shape [batch_size], the true labels.
... |
import os
import abc
import sys
import time
import datetime
import logging
import shutil
import oommfc as oc
import subprocess as sp
import ubermagutil as uu
import micromagneticmodel as mm
log = logging.getLogger(__name__)
_cached_oommf_runner = None
class OOMMFRunner(metaclass=abc.ABCMeta):
"""Abstract class f... |
from collections import namedtuple
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import ray
import stats
Configuration = namedtuple('Configuration', ['banditCount'])
Observation = namedtuple('Observation', ['step', 'reward', 'agentIndex', 'lastActions'])
def smoke_test(agent):
config =... |
import os
import sys
from datetime import datetime, timedelta
import numpy as np
quick_hist = False
quick_bar = True
#quick_bar = False
def d4_computation_time_nparray( top='' ):
dirs = [ f.name for f in os.scandir( top ) ] #if f.is_file() ]
path_l = []
ftimes = []
ctimes = []
# Prepare file p... |
from __future__ import print_function
import os
import json
import time
import re
import logging
from kutils.json_min_db import JsonMinConnexion
from wunderous.config import WEEK_OFFSET, DAY, WEEK, MONTHES, CSV_HEADER, config
from wunderous.drive import get_sheet_values, get_sheet_metadata, get_sheet_value, update_she... |
import torch.nn as nn
import torch
import math
class NoSkipBertSelfOutput(nn.Module):
def __init__(self, config):
super().__init__()
self.dense = nn.Linear(config.hidden_size, config.hidden_size)
self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
self.drop... |
import sys
sys.path.append('../../src')
import argparse
from collections import defaultdict
import datetime
import functools
import logging
import operator
import os
from pyschedule import Scenario, solvers, plotters, alt
class NoSolutionError(RuntimeError):
pass
class AnlagenDescriptor(object):
def __init... |
from flask_sqlalchemy import SQLAlchemy
from flask import jsonify
from flask_migrate import Migrate
from flask import render_template
from flask import Flask, session, redirect, url_for, request
import datetime
from flask_login import LoginManager,login_user,UserMixin
from sqlalchemy import create_engine
engine = creat... |
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 2 16:14:47 2019
@author: <NAME>
"""
import numpy as np
import matplotlib.pyplot as plt
from lbl_ir.data_objects.ir_map import sample_info, ir_map
def lorentzian(x,x0,gamma=10):
return 1/(np.power((x-x0)/gamma,2)+1)
def gaussian(x,x0=0,sigma=10):
return 1/... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import scipy.stats as sts
from pprint import pprint
import os
from mnkutil import *
sns.set_style('white')
sns.set_style('white')
sns.set_context('poster')
sns.set_palette(['#E97F02', '#490A3D', '#BD1550'])
def get_computer_se... |
# -*- encoding: utf-8 -*-
from sqlalchemy import func
import random
from datetime import datetime
from datetime import timedelta
from app.main.repository.interface.user_tbls import (PersonalDetailsRepository
,ReviewerProfileRepository
... |
import pygame as pg
import math
from math import sqrt
def crop_image(image, image_rect, crop_rect):
'''Receives a surface, it's rect, and the rect of image to be cropped.
Returns a surface.'''
ix, iy, iw, ih = image_rect
cx, cy, cw, ch = crop_rect
#Trim from topleft of image to topleft of crop... |
import networkx as nx
import community
import demon
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pickle
import random
import re
from collections import Counter
def prune_pages(links, categories):
'''Remove pages dedicated to numbers and identifiers.
Parameters:
dict links:... |
# Copyright (c) 2015 Mirantis, 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 requir... |
__author__ = 'Mikhail'
def add_line(line_one, line_two):
"""
>>> line_one = [1, 2, 3]
>>> line_two = [1, 2, 3]
>>> add_line(line_one, line_two)
>>> line_one
[2, 4, 6]
>>> line_two
[1, 2, 3]
>>> add_line(line_two, line_one)
>>> line_one
[2, 4, 6]
>>> line_two
[3, 6, ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
manage
~~~~~~
Open Schools Kenya management script
Usage:
build everything: ./manage.py build all
build templates: ./manage.py build html
build statics: ./manage.py build static [type] [--no-filters]
... |
"""
Based on https://github.com/nshepperd/gpt-2/blob/finetuning/train.py
"""
import json
from pathlib import Path
import sys
import shutil
from typing import List, Tuple
import fire
import numpy as np
import matplotlib.pyplot as plt
import sentencepiece as spm
import tensorflow as tf
import tqdm
from . import model, ... |
#
# 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 to in writing... |
from __future__ import print_function
import readline
import shlex
import six
import sys
from .exceptions import JSHError
class JSH(object):
section = None
def __init__(
self,
layout,
prompt='> ',
section_delims=('(', ')'),
ignore_case=False,
complete_on_spac... |
"""
pyaud.config
============
Includes constants, functions, and singleton for Toml config parsing.
``toml`` can be used with the external API for retrieving parsed config.
Configs are parsed in the following order:
| ~/.config/pyaud/pyaud.toml
| ~/.pyaudrc
| .pyaudrc
| pyproject.... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# pte_sieve.py
#
# Sieving algorithm to find twin smooth integers using PTE solutions.
import sys, time, datetime
import ctypes
from math import log, ceil
from pathlib import Path
from primes.parse import read_primes
from sieve import sieve, c_lo... |
import numpy as np
from scipy import interpolate
from .gps_jax import sample_gp, rbf_kernel
class NHGPS():
"""
This class is used for data generation from the NH-GPS model.
"""
def __init__(self, intensity_bound, time_bound, hypers, num_trials=1):
"""
This method initializes the mode... |
# TensorFlow library
import tensorflow.compat.v1 as tf
# Keras library
from tensorflow import keras
# Pytorch library
import torch
from torchsummary import summary
# Config
import config as cfg
# data
# Channel: TensorFlow and Pytorch is channel last, but Keras is channel first
n_inputs = 9
n_timesteps = 128
n_classes... |
import json
import logging
import collections
import h5py
import sys
sys.path.append('/Users/mishamesarcik/Workspace/phd/Workspace/lofar-dev/cluster_tools')
import lofarReadSnippet
from stations import stations
logger = logging.getLogger(__name__)
class ObservationDao(object):
@staticmethod
def read_sap_... |
from __future__ import print_function, division
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import trapz
import multiprocessing as mp
import h5py
def airy_func(wavelength, cos_th, d, F):
Q = (2. * F / np.pi)**2
airy = 1.0 / (1.0 + Q * np.sin(np.pi * 2.e6 * d * cos_th / wavelength)**... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import os.path as osp
import logging, subprocess, os, shutil, re, pprint, csv
from .termcolor import colored
import svjgenprod
logger = logging.getLogger('root')
subprocess_logger = logging.getLogger('subprocess')
class switchdir(ob... |
from mycv.utils.general import disable_multithreads
disable_multithreads()
import os
import time
from pathlib import Path
import argparse
from tqdm import tqdm
from collections import defaultdict
import wandb
import cv2
import torch
import torch.cuda.amp as amp
from torch.optim.lr_scheduler import LambdaLR
from mycv.d... |
#!/usr/bin/env python3
import sys
import os
import argparse
import configparser
import shutil
import pandas as pd
import subprocess as sp
from qc import *
from mapping import *
from baseCalling import base_calling
def get_parser():
parser = argparse.ArgumentParser(description='A Pipeline to process fast5.')
r... |
#!/usr/bin/python3 -B
"""
A convenience wrapper for Matplotlib.
"""
import sys # built-in module
import time # built-in module
import inspect # built-in module
import warnings # built-in module
import numpy as np # pip install... |
#!/bin/env python3
import csv
import json
import yaml
def import_HC_data(node_file, interaction_file, xref_source_file, xref_matrix_file, xref_i_file):
SalmoNet = {"node": {}, "interaction": {}, "groups": {}, "strains": []}
#lode xrefs
xref = {"source": {}, "matrix": {}}
with open(xref_source_file) as... |
from collections import deque
from threading import Thread
from time import sleep
from typing import Dict
import numpy as np
from core.data.command import Command
from core.device.abstract import Connector
from core.device.manager import DeviceManager
from core.task.abstract import BaseTask
from core.task.manager imp... |
# -*- coding: utf-8 -*-
"""
minion.py - last updated 2021-05-27
Read MINION-formatted configuration data.
==============================
Copyright 2021 <NAME>
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 cop... |
"""
Pix2Surf Multi-View Version
"""
from .modelbase_v2 import ModelBase
from .modelbase_v2 import Network as NetBase
from core.models.utils import *
from core.net_bank.pix2surf_cnn import SegNetGroup
from core.net_bank.mlp import NOCS_AMP_MLP
from core.net_bank.loss import MaskL2Loss
import os
import torch
from torch ... |
#!/usr/bin/env python
'''
Analyzer for iPhone backup made by Apple iTunes
(C)opyright 2011 <NAME> <<EMAIL>>
Released under MIT licence
smswindow.py provides the code to show a TK window to browse through
the SQLite file which holds the SMS data in the iPhone Backup.
'''
# IMPORTS -----------------------------... |
"""Central module of the nodal package.
Provides, among others, the classes meant for external usage:
* Netlist: reads .csv files
* Circuit: provides solve() method to compute electrical variables
* Solution: printable object storing the computation results
Example use case:
from nodal import Circuit,... |
# Imports
import argparse
import json
import numpy as np
import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
# Define network class
class Network(nn.Module):
def __init__(self, input_size, output_size, hidden_layers, drop_p=... |
# -*- coding: utf-8 -*-
"""
Created on Sat Oct 27 11:58:26 2018
file_utils
@author: GEO
"""
import os
import sys
import torch
import shutil
from datetime import datetime
import pandas as pd
from matplotlib import pyplot as plt
def init_folders(base_output_dir, model_name, resume, logging):
output_dir = os.path.j... |
'''
Scan through PDB and find helices at protein interfaces where the
majority of the helix is part of the interface, with the idea that this
means the helix will be laying mostly flat along the protein, maximizing
its contact surface area.
Usage:
build_interface_list.py <num> [options]
build_interface_list.p... |
from __future__ import annotations
import re
from enum import Enum
from epcpy.epc_schemes.base_scheme import EPCScheme, GS1Keyed, TagEncodable
from epcpy.utils.common import (
ConvertException,
binary_to_int,
calculate_checksum,
decode_partition_table,
decode_string,
encode_partition_table,
... |
#This program provides a serial interface for a Superconductor Technologies Superlink cryocooler, returning the cold finger temperature,
#rejection temperature, and power drawn. It also allows you to switch the cryocooler between auto and manual shutdown modes
#I haven't used Python in ages, I'm sure there's goofs so... |
#!/usr/bin/env python3
# coding=utf-8
from math import ceil, floor
import librosa
from librosa import display
import numpy as np
import pandas as pd
import soundfile as sf
from collections import namedtuple
import re
def load_csv(filename: str, sep=',') -> pd.DataFrame:
# print('- loading %s' % filename)
cs... |
import json
from typing import Any, Dict, List, TextIO
from src import sv_vote
from src import util
FILENAME = 'sbb.txt'
# Define SBB headings used to later parse the SBB during proof.
BALLOT_RECEIPTS = 'ballot_receipts'
ORIGINAL_ORDER_COMMITMENTS = 'original_order_commitments'
MIXNET_VOTE_COMMITMENT_LIST = 'mixnet_... |
import numpy as np
from numba import jit
import tensorflow as tf
cB = np.array((0, 0, 0), dtype=np.float32) # --------- BOUNDARY
c0 = np.array((255, 255, 255), dtype=np.float32) # --- STREET
c1 = np.array((0, 0, 255), dtype=np.float32) # ------- HOUSE
c2 = np.array((0, 255, 255), dtype=np.float32) # ----- LOW VEGE... |
'''
(c) University of Liverpool 2020
All rights reserved.
@author: neilswainston
'''
# pylint: disable=invalid-name
# pylint: disable=no-member
from ast import literal_eval as make_tuple
import collections
from functools import partial
import json
import sys
from rdkit import Chem
import matplotlib.pyplot as plt
im... |
#!/usr/bin/env python
import math,operator,random,sys
import numpy as np
#######
#Probability Tools for DNA sequence analysis
#######
def snr(observed,expected):
return observed/expected
def zscore(observed,expected):
return (observed-expected)/math.sqrt(expected)
def which_bin(bins, x, safe=0):
"""
... |
import socket
import os
import time
import json
import traceback, sys
import csv
#import pandas as pd
List_of_files = 'C:\\Internet_Protocols\\List_of_files'
csv_receivedlist = 'C:\\Internet_Protocols\\Received_list\\csv_receivedlist.csv'
peer_list = []
Port_RS = 23475
Host_RS = '192.168.0.161'
hostname = socke... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import json
from django.template import loader
from django.shortcuts import render
from django.views.static import serve
from django.http import HttpResponse, JsonResponse, HttpResponseRedirect
from django.conf import settings
from django.forms.models imp... |
import os
from sqlalchemy import *
from sqlalchemy.orm import create_session, relationship
from sqlalchemy.ext.declarative import declarative_base
uri = 'mysql://root@localhost/chembl_25'
if 'CHEMBL_URI' in os.environ:
uri = os.environ['CHEMBL_URI']
Base = declarative_base()
engine = create_engine(uri)
metadata =... |
import pandas as pd
pd.options.display.max_rows = 999
import numpy as np
import poly_brute_force as poly
def constraint_hamiltonian(qubo, num_problem_qubits, num_qubo_qubits):
# construct constraint equations
# auxiliary qubit a_ij = b_i b_j is enforced by
# b_i b_j - 2 b_i a_ij - 2 b_j a_ij + 3 a_ij
... |
#!/usr/bin/python
import os, sys
import json
import numpy as np
import re
# GITHUB location: https://github.com/minogud2/ARC/blob/master/src/manual_solve.py
### YOUR CODE HERE: write at least three functions which solve
### specific tasks by transforming the input x and returning the
### result. Name them according ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import numpy as np
import tensorflow as tf
import cv2
from utils.misc import get_center
Rectangle = collections.namedtuple('Rectangle', ['x', 'y', 'width', 'height'])
def get_gauss_filter... |
from __future__ import absolute_import, division, print_function
import cv2
import numpy as np
import six
def figure(fnum=None, pnum=(1, 1, 1), title=None, figtitle=None, doclf=False,
docla=False, projection=None, **kwargs):
"""
http://matplotlib.org/users/gridspec.html
Args:
fnum (int... |
class GraphNode(object):
def __init__(self, val):
self.value = val
self.children = []
def add_child(self, new_node):
self.children.append(new_node)
def remove_child(self, del_node):
if del_node in self.children:
self.children.remove(del_node)
class... |
import mimetypes
from typing import List
from requests import RequestException
from dothttp import DotHttpException, Config, HttpDef, Allhttp, BaseModelProcessor, UndefinedHttpToExtend
from dothttp.request_base import CurlCompiler, RequestCompiler, HttpFileFormatter, dothttp_model
from . import logger
from ..models i... |
# -*- coding: UTF-8 -*-
import re
import json
import datetime
import multiprocessing
from django.db.models import Q
from django.conf import settings
from django.views.decorators.csrf import csrf_exempt
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
f... |
import numpy as np
import pandas as pd
import os
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from matplotlib.ticker import LinearLocator
import seaborn as sns
from operator import itemgetter
import matplotlib.ticker as ticker
import math
import matplotlib.patches as patches
#run correla... |
# type: ignore
__all__ = [
"meshc",
"barh",
"trisurf",
"compass",
"isonormals",
"plotutils",
"ezcontour",
"streamslice",
"scatter",
"rgb2ind",
"usev6plotapi",
"quiver",
"streamline",
"triplot",
"tetramesh",
"rose",
"patch",
"comet",
"voronoi",... |
# Copyright 2019, 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 to in writing... |
# coding=utf-8
from base.wrapper import DB, doc, Transaction
from base.exeption import ElemNotFound
from math import pi
import logging
from . import my_features, my_axles
from base import exeption as ex
class MyView:
"""
My view class with features:
- crop view by CurveLoop
- rotate view about z axi... |
# pylint disable=anomalous-backslash-in-string
import re
import os
from glob import glob
from unidecode import unidecode
from itertools import chain
from nltk.tokenize import word_tokenize
from nltk import FreqDist
from nltk.downloader import download as nltk_download
nltk_download("stopwords")
nltk_download("punkt... |
import unittest
import os
import datetime as dt
import netCDF4
import numpy as np
from forest import (eida50, satellite, navigate)
from forest.exceptions import FileNotFound, IndexNotFound
class TestLocator(unittest.TestCase):
def setUp(self):
self.paths = []
self.pattern = "test-eida50*.nc"
... |
import torch
from torch import nn
from torch import optim
# Take any network, train it on the training data, test it on the testing data, return the final errors
def train_model(model, crit, optimizer, n_epochs, btch_size, train_i, train_t, train_c, test_i, test_t, test_c):
# Go through the training set for sev... |
#!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you ma... |
"""Module containing functions used to trace API calls
end to end. All functions in the module use OpenTracing
framework in conjuction with a Jaeger server to provide
comprehensice API Tracing Capabilites"""
import logging
import json
import datetime
import sys
import opentracing
import requests
import bottle
import... |
from botocore.exceptions import ClientError
from unittest.mock import MagicMock
from senza.aws import (get_security_group, resolve_security_groups,
get_account_id, get_account_alias, list_kms_keys,
encrypt, get_vpc_attribute, resolve_referenced_resource,
... |
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