input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
<gh_stars>10-100
import numpy as np
from scipy.optimize import minimize
from scipy.linalg import null_space
from pymoo.model.algorithm import Algorithm
from pymoo.model.duplicate import DefaultDuplicateElimination
from pymoo.model.individual import Individual
from pymoo.model.initialization import Initialization
from m... | |
-121.61 59.0 200 0 | -0.81 0.33 -40.64 0.79
| UsedTime: 132 |
ID Step maxR | avgR stdR avgS stdS | expR objC etc.
1 1.60e+03-1267.96 |-1267.96 329.7 200 0 | -2.67 0.88 0.56 1.00
1 8.48e+04 -171.79 | -182.24 63.3 200 0 | -0.30 0.32 -30.75 0.64
1 1.19e+05 -171.79 | -178.25 116.8 200 0 | -0.31 0.16 -22.52 0.4... | |
raise TypeError(f"difference argument is not iterable, got {iterable!r}")
set_: typing.Set[T]
if isinstance(self._set, set):
set_ = self._set.difference(*iterables)
else:
set_ = set(self._set)
set_.difference_update(*iterables)
return type(self).from_iterable(set_, self.key)
@classmethod
def from_iterable(cls... | |
import sys
import re
import operator
import itertools
from os import path
from FileTools import loadAirlineCallsigns
reOpenTag = re.compile('^<([a-z_]+)>$')
reOpenAnyTag = re.compile('^<([a-z_="]+)>$')
reCloseTag = re.compile('^</([a-z_]+)>$')
xml_temp = '.*<{0}>([a-z ]+)</{0}>.*'
xml_temp2 = '.*<{0}>([a-z ]*?)</{0}>... | |
1, Ns))
write_eq(Symbol(r'{C_{p,k}}^{\circ}'), cp[k])
write_eq(cp[k], cpfunc, sympy=True)
write_eq(cp[k], expand(cpfunc))
write_eq(diff(cp[k], T), simplify(diff(cpfunc, T)))
dcpdT = R * \
(a[k, 1] + T * (2 * a[k, 2] + T * (3 * a[k, 3] + 4 * a[k, 4] * T)))
dcpdT = assert_subs(diff(cpfunc, T), (
diff(cpfunc, T), ... | |
# -*- coding:utf-8 -*-
import os
import stat
import copy
import re
import shutil
import zipfile
from os.path import join, getsize
from flask import current_app, session
from openpyxl import Workbook, load_workbook
from robot.api import TestData
from robot.parsing.model import Step
from utils.file import get_projectd... | |
<reponame>abrikoseg/batchflow
""" Progress notifier. """
import sys
import math
from time import time, gmtime, strftime
from tqdm import tqdm
from tqdm.notebook import tqdm as tqdm_notebook
from tqdm.autonotebook import tqdm as tqdm_auto
import numpy as np
import matplotlib.pyplot as plt
try:
from IPython import dis... | |
function]
cls.add_method('InitEndDeviceInfo',
'ns3::LoRaWANEndDeviceInfoNS',
[param('ns3::Ipv4Address', 'arg0')])
## lorawan-gateway-application.h (module 'lorawan'): void ns3::LoRaWANNetworkServer::PopulateEndDevices() [member function]
cls.add_method('PopulateEndDevices',
'void',
[])
## lorawan-gateway-ap... | |
0)
m.e43 = Constraint(expr= m.x7 - m.x81 - m.x84 - m.x87 - m.x90 == 0)
m.e44 = Constraint(expr= m.x7 - m.x82 - m.x85 - m.x88 - m.x91 == 0)
m.e45 = Constraint(expr= m.x7 - m.x83 - m.x86 - m.x89 - m.x92 == 0)
m.e46 = Constraint(expr= m.x8 - m.x93 - m.x96 - m.x99 - m.x102 == 0)
m.e47 = Constraint(expr= m.x8 - m.x94 - m.x9... | |
= oldLDFlags
updateMakeFileForDarwin("CA/src/c_make.as", addedCFlags, addedLDFlags)
os.system("bash install.sh")
fileOptions = utils.getCommandOutput("file -b --mime-type INSTALL.py", False)
if fileOptions == "":
fileOptions = utils.getCommandOutput("file -b --mime INSTALL.py", False)
if fileOptions != "":
# fi... | |
import os
import sys
import locale
try:
from configparser import ConfigParser
except ImportError:
from ConfigParser import SafeConfigParser as ConfigParser
try:
from importlib import reload
except ImportError:
pass
import logging
from resources.extensions import *
class SMAConfigParser(ConfigParser, object):
de... | |
<gh_stars>1-10
from keras.layers import Input
from keras.models import Model
from keras.layers import Dense, Dropout, Reshape, Permute
from keras.layers.convolutional import Convolution2D
from keras.layers.convolutional import MaxPooling2D, ZeroPadding2D
from keras.layers.normalization import BatchNormalization
from ke... | |
<reponame>azeem59/MDFlakerForPaperUpdated
import csv
import matplotlib.pyplot as plt
import mysql_handler as mh
from prettytable import PrettyTable
import click
import datetime
import os
from pathlib import Path
from changes_github import func_timer
def save_csv(file_path, headers, rows):
with open(file_path, 'w', e... | |
data (no time-format in first column)
df = df.loc[df['Heures'].str.len() == 11]
# drop daylight saving time hours (no data there)
df = df.loc[(df['Éolien terrestre'] != '*') & (df['Solaire'] != '*')]
# just display beginning of hours
df['Heures'] = df['Heures'].str[:5]
# construct full date to later use as ind... | |
- shape [len, batch]
##################################
programs_input = programs[:-1]
programs_target = programs[1:]
full_answers_input = full_answers[:-1]
full_answers_target = full_answers[1:]
# print("programs_input.size()", programs_input.size())
# print("programs_target.size()", programs_target.size())
# ... | |
= np.argmin(dis, axis=1)
for attack_ind, track_id in enumerate(dets_ids):
if track_id is None or self.multiple_ori_ids[track_id] <= self.FRAME_THR \
or dets_ids[ious_inds[attack_ind]] not in self.multiple_ori2att \
or track_id not in self.multiple_ori2att:
continue
if ious[attack_ind, ious_inds[attack_ind]] > sel... | |
Constraint(expr=m.x186*m.x2516 + m.x811*m.x2522 + m.x1436*m.x2528 + m.x2061*m.x2534 <= 8)
m.c2705 = Constraint(expr=m.x187*m.x2516 + m.x812*m.x2522 + m.x1437*m.x2528 + m.x2062*m.x2534 <= 8)
m.c2706 = Constraint(expr=m.x188*m.x2516 + m.x813*m.x2522 + m.x1438*m.x2528 + m.x2063*m.x2534 <= 8)
m.c2707 = Constraint(expr=m... | |
import re
import sys
from io import StringIO
import numpy as np
import scipy.sparse as sp
from scipy import linalg
from sklearn.decomposition import NMF, MiniBatchNMF
from sklearn.decomposition import non_negative_factorization
from sklearn.decomposition import _nmf as nmf # For testing internals
from scipy.sparse im... | |
from .vefm_271 import mesh, vertex, edge, face
from math import pi, acos, sin, cos, atan, tan, fabs, sqrt
def check_contains(cl, name, print_value=False):
dir_class = dir(cl)
for el in dir_class:
if el.startswith("_"):
pass
else:
if print_value:
tmp = getattr(cl, el)
print(name, " contains ==>", el, " value =... | |
_cond2, _cond3, _cond4)):
return True
return False
def extra_space_exists(str1: str, str2: str) -> bool:
"""
Return True if a space shouldn't exist between two items
"""
ls1, ls2 = len(str1), len(str2)
if _extra_space_exists(str1, str2, ls1, ls2):
return True
# 36010G20 KT
_vrb: bool = str1.startswith('VRB'... | |
# -*- coding: utf-8 -*-
# #START_LICENSE###########################################################
#
#
# This file is part of the Environment for Tree Exploration program
# (ETE). http://ete.cgenomics.org
#
# ETE is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public Li... | |
######################################################################
# Author: Dr. <NAME> <NAME>, <NAME>
# Username: heggens alfarozavalae, jamalie
#
# Assignment: A08: UPC Barcodes
#
# Purpose: Determine how to do some basic operations on lists
#
######################################################################... | |
"""
Toolbox for simulating compositional data from ScRNA-seq
This toolbox provides data generation and modelling solutions for compositional data with different specifications.
This data might e.g. come from scRNA-seq experiments.
For scenarios 1-4, we first generate composition parameters (b_true, w_true) and a covar... | |
<filename>ztfquery/sedm.py
#! /usr/bin/env python
#
""" Access SEDM data from pharos """
PHAROS_BASEURL = "http://pharos.caltech.edu"
import os
import requests
import json
import numpy as np
import pandas
import warnings
from . import io
SEDMLOCAL_BASESOURCE = io.LOCALSOURCE+"SEDM"
SEDMLOCALSOURCE = SEDMLOCAL_BASES... | |
<filename>server.py<gh_stars>1-10
# coding: utf-8
import argparse
import json
# std
from datetime import datetime
# web
from flask import Flask, render_template, request
from flask import jsonify
from flask_cors import CORS, cross_origin
from flask_frozen import Freezer
from flask import Response
from flask_htpasswd ... | |
# -*- coding: utf-8 -*-
import os
import mab.gd.logging as logging
import emcee
from numpy import *
import numpy
import scipy
from mab.gd import gdfast_schw
from kaplot import *
logger = logging.getLogger("gd.schw.solution2")
class Dummy(object):
pass
dummy = Dummy()
def lnprob(u):
x = exp(u)
x /= sum(x)
logp =... | |
execution
uncertain_nodes.append(other_node)
return uncertain_nodes
@staticmethod
def _defines_name_raises_or_returns(
name: str, handler: nodes.ExceptHandler
) -> bool:
"""Return True if some child of `handler` defines the name `name`,
raises, or returns.
"""
def _define_raise_or_return(stmt: nodes.NodeNG)... | |
"""
Implements an asynchronous interface for a Frontier Silicon device.
For example internet radios from: Medion, Hama, Auna, ...
"""
import asyncio
from asyncio.exceptions import TimeoutError
import typing as t
import logging
from afsapi.exceptions import (
FSApiException,
InvalidPinException,
InvalidSessionExcep... | |
j] = 0.125 * np.sum([.5 * G[i-2, j],\
# -1. * G[i-1, j-1], -1. * G[i-1, j+1], \
# -1. * G[i, j-2], 4. * R[i, j-1], 5. * G[i,j], 4. * R[i, j+1], -1. * G[i, j+2], \
# -1. * G[i+1, j-1], -1. * G[i+1, j+1], \
# .5 * G[i+2, j]])
#
# # B at Green locations in Red rows
# B[i, j] = 0.125 * np.sum([-1. * G[i-2, j], \
# -1. * G[... | |
zoomed out.
# Triplets (rgb) or quadruplets (rgba) of integers 0-255.
"zoomed_out_fill_colour": [150, 180, 200, 160],
# Time Zone. In hours added to UTC (maybe negative)
# Used for rounding off scene times to a date.
# 9 is good value for imagery of Australia.
"time_zone": 9,
# Extent mask function
# Determines... | |
<filename>moirai/webapi/api.py
# -*- coding: utf-8; -*-
#
# Copyright (c) 2016 <NAME>
#
# 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 r... | |
for the get_builds method
:param value:
:type value: :class:`<[Build]> <azure.devops.v5_1.build.models.[Build]>`
:param continuation_token: The continuation token to be used to get the next page of results.
:type continuation_token: str
"""
self.value = value
self.continuation_token = continuation_token
def q... | |
<reponame>arsh-khokhar/Bayesian-Nets-Fraud-Detection
"""
File name: Factor.py
Author: <NAME>, <NAME>
Date last modified: 21 March, 2021
Python Version: 3.8
This script contains the Factor class with necessary utility functions
for doing inference using variable elimination or enumeration.
"""
from enum import I... | |
#!/usr/bin/env python
"""
================================================
ABElectronics Expander Pi
Requires smbus2 or python smbus to be installed
================================================
"""
from __future__ import absolute_import, division, print_function, \
unicode_literals
try:
from smbus2 import SMBus... | |
<gh_stars>1-10
"""Provides a class for constructing simulations based on Firedrake.
Simulations proceed forward in time by solving
a sequence of Initial Boundary Values Problems (IBVP's).
Using the Firedrake framework,
the PDE's are discretized in space with Finite Elements (FE).
The symbolic capabilities of Fired... | |
filter_obj
def apply_options_obj(options, obj, dest):
"""Updates an object with options
Parameters
----------
options : dict
* dict containing options definition
obj : :class:`taniumpy.object_types.base.BaseType`
* TaniumPy object to apply `options` to
dest : list of str
* list of valid destinations (i.e. `... | |
s.define(monom + t*t*t)
sage: t.define(monom + s*s)
sage: [s.coefficient(i) for i in range(9)]
[0, 1, 0, 1, 3, 3, 7, 30, 63]
sage: [t.coefficient(i) for i in range(9)]
[0, 1, 1, 0, 2, 6, 7, 20, 75]
Test Recursive 3
::
sage: s = L()
sage: s._name = 's'
sage: s.define(one+monom*s*s*s)
sage: [s.coefficient(i... | |
import numpy as np
import logging
import six
import loopy as lp
import cantera as ct
from nose.plugins.attrib import attr
from unittest.case import SkipTest
from parameterized import parameterized
try:
from scipy.sparse import csr_matrix, csc_matrix
except ImportError:
csr_matrix = None
csc_matrix = None
from pyja... | |
# Import kivy tools
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.gridlayout import GridLayout
from kivy.uix.recycleboxlayout import RecycleBoxLayout
from kivy.uix.label import Label
from kivy.uix.button import Button
from kivy.uix.checkbox import CheckBox
from kivy.uix.spinner import ... | |
import logging
import pandas as pd
from django.contrib import messages
from django.contrib.auth.decorators import login_required, user_passes_test
from django.core.exceptions import ObjectDoesNotExist
from django.core.paginator import Paginator
from django.db.models import Count, Prefetch, Q
from django.forms import f... | |
"NULL", ""]
try:
schNo = getattr(Parcel,schDistNoField)
schNa = getattr(Parcel,schDistField)
pinToTest = getattr(Parcel,pinField)
year = getattr(Parcel,yearField)
if schNo is not None and schNa is not None:
'''schNa = schNa.replace("SCHOOL DISTRICT", "").replace("SCHOOL DISTIRCT", "").replac... | |
r.Link('%(bar)s', 'blah', '%(foo)s')
"""
self.reset()
(built, d) = self.buildRecipe(recipestr2, "TestLink")
for p in built:
self.updatePkg(self.workDir, p[0], p[1])
a = os.lstat(util.joinPaths(self.workDir, 'foo'))
b = os.lstat(util.joinPaths(self.workDir, 'bar'))
c = os.lstat(util.joinPaths(self.workDir, 'blah'... | |
Target Variable for Neural Network - this is the target variable
# ## ------------------------------------------------------------------------------------------------------
# In[30]: Declare some functions
def setTarget(df, targetVariable):
y = df[targetVariable]
return y
# In[31]: Set target variable
y = set... | |
<reponame>ginking/archimedes-1
# -*- coding: utf-8 -*-
# NOTE TRADINGKING IS NOW ALLY PROGRESS AS NORMAL AS INCORPORATED CHANGES IN PLACE
from __future__ import unicode_literals
from datetime import datetime
from datetime import timedelta
from holidays import UnitedStates
from lxml.etree import Element
from lxml.etree... | |
'CaPjVaQrpyN138TarQ7CYBqBOz0ZF7.png',
u'Sport 1 Cz': logobase + 'kCLlfkFz3Ba3BL9Jc9ZPgUKXh2piyv.png',
u'Sport 1 LT': logobase + 'nRFc87aOV1vRnjEqmQZUneZe4HiCqn.png',
u'Sport 1 Select': logobase + '899pteevSriMFxe4omDA4G6l9i0czY.png',
u'Sport 1 Voetbal HD': logobase + '0WEqpl3cqObcLs2J0l5DDhVPZalvXx.png',
u'Sport 2... | |
# standard library
import socketserver
import logging
import threading
import time
import socket
import struct
import binascii
from uuid import getnode as get_mac
# third party
# from this package
# #######################################
# THE HANDLERS FOR THE ACTUAL CONNECTIONS
# #################################... | |
<filename>main.py<gh_stars>0
#!/usr/bin/env python
# If you keep OpenSCAD in an unusual location, uncomment the following line of code and
# set it to the full path to the openscad executable.
# Note: Windows/python now support forward-slash characters in paths, so please use
# those instead of backslashes which creat... | |
"fit_prior": Categorical([True, False]),
"alpha": Real(0, 1, prior='uniform')
}
},
{
"id": 11,
"type": "classification",
"model": GaussianNB(),
"search_space":
{
"var_smoothing": Real(0, 1, prior='uniform')
}
},
{
"id": 12,
"type": "classification",
"model": BernoulliNB(),
"search_space":
{
"fit_prio... | |
freedom]
''')
self.assertRaises(PFAException, lambda: engine.action(0.4))
engine, = PFAEngine.fromYaml('''
input: double
output: double
action:
- prob.dist.chi2CDF: [input, -3] #[input, degrees of freedom]
''')
self.assertRaises(PFAException, lambda: engine.action(0.4))
engine, = PFAEngine.fromYaml('''
input: do... | |
<filename>template/plugin/file.py
#
# The Template-Python distribution is Copyright (C) <NAME> 2007-2008,
# derived from the Perl Template Toolkit Copyright (C) 1996-2007 Andy
# Wardley. All Rights Reserved.
#
# The file "LICENSE" at the top level of this source distribution describes
# the terms under which this file ... | |
<reponame>bell-bot/audio_adversarial_examples<filename>datasets.py
# -*- coding: future_fstrings -*-
import os
from re import L
from typing import Dict, Tuple
import sys
import logging
import numpy
import regex as re
# import torchaudio.datasets.tedlium as tedlium
import librosa
from Data import tedlium_local as ted... | |
<gh_stars>0
import json
import os
from django.conf import settings
from django.contrib import messages
from django.contrib.auth import authenticate, login as li, logout as lo
from django.contrib.auth.decorators import login_required, user_passes_test
from django.contrib.auth.hashers import make_password
from django.co... | |
import ast
from threading import Thread
import sys
from queue import Queue, Empty
from subprocess import Popen, PIPE
import time
import datetime
import traceback
class PipeToJava:
def __init__(self, headless=True):
self.buffer = []
on_posix = 'posix' in sys.builtin_module_names
args = ['java', '-jar', '../BotTest... | |
<filename>scripts/msct_register.py<gh_stars>0
#!/usr/bin/env python
#########################################################################################
# Various modules for registration.
#
# ---------------------------------------------------------------------------------------
# Copyright (c) 2015 NeuroPoly, Po... | |
return self.getErrorItem("Value should be set")
value = properties[propertyName]
defaultValue = recommendedDefaults[propertyName]
if defaultValue is None:
return self.getErrorItem("Config's default value can't be null or undefined")
if not checkXmxValueFormat(value) and checkXmxValueFormat(defaultValue):
# Xmx is... | |
"""This module tests SyntaxErrors.
Here's an example of the sort of thing that is tested.
>>> def f(x):
... global x
Traceback (most recent call last):
SyntaxError: name 'x' is local and global (<doctest test.test_syntax[0]>, line 1)
The tests are all raise SyntaxErrors. They were created by checking
each C call tha... | |
library".format(showName), verbosity=self.logVerbosity)
currentShowValues = self.SearchTVLibrary(showName = showName)
if currentShowValues is None:
self._ActionDatabase("INSERT INTO TVLibrary (ShowName) VALUES (?)", (showName, ))
showID = self._ActionDatabase("SELECT (ShowID) FROM TVLibrary WHERE ShowName=?", (sh... | |
<gh_stars>0
from torch_struct import (
CKY,
CKY_CRF,
DepTree,
LinearChain,
SemiMarkov,
Alignment,
deptree_nonproj,
deptree_part,
)
from torch_struct import (
LogSemiring,
CheckpointSemiring,
CheckpointShardSemiring,
KMaxSemiring,
SparseMaxSemiring,
MaxSemiring,
StdSemiring,
EntropySemiring,
)
from .exte... | |
<filename>03_conv_nets/3-1_introduction/lesson_1_37_CNN_for_CIFAR.py
### Convolutional Neural Networks
'''
In this notebook, we train a CNN to classify images from the CIFAR-10 database.
The images in this database are small color images that fall into one of ten classes; some example images are pictured below.
... | |
<gh_stars>0
import os
import sys
import json
import copy
import mdtraj
import numpy as np
import time
import pandas as pd
import pickle
import mdtraj as md
import multiprocessing as mp
try:
import cupy as cp
cudaExists = True
import kernel
except ImportError as e:
cudaExists = False
print("Can't load CuPy, contact... | |
},
89: {
'col_and_row': u'D17',
'row': 4,
'col': 17,
'well_id': 89,
},
90: {
'col_and_row': u'D18',
'row': 4,
'col': 18,
'well_id': 90,
},
91: {
'col_and_row': u'D19',
'row': 4,
'col': 19,
'well_id': 91,
},
92: {
'col_and_row': u'D20',
'row': 4,
'col': 20,
'well_id': 92,
},
93: {
'col_and_row'... | |
yet made a choice.\nThe current line is: " + currentLine)
print("Make sure this Dependent section depends upon a Random section, and make sure that Random section must always be visited before this Dependent section.\n")
return -26
if chosenSubelement >= myNumChoices:
print("\nError! This Dependent section does not... | |
<reponame>illbebach/Dying-Bullish-Euphoria<gh_stars>1-10
# Program for testing "no new highs lately" or "dying bullish euphoria" (DBE)
# strategy.
# Author: <NAME>
# Date: June 2019
# New to version 2.0
# * Added a ticker price threshold for reentry. When the ticker (index) falls
# below a user entered perce... | |
#!/usr/bin/env python
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (c) 2012, Cloudscaling
# 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.apa... | |
Task = property(__Task.value, __Task.set, None, None)
# Attribute Name uses Python identifier Name
__Name = pyxb.binding.content.AttributeUse(pyxb.namespace.ExpandedName(None, u'Name'), 'Name', '__avm_Workflow__Name', pyxb.binding.datatypes.string)
__Name._DeclarationLocation = pyxb.utils.utility.Location(u'... | |
= typeidlist[str(fulldetails["structureTypeID"])]
systemName = ESI.getSystemName(geographicinformation, str(fulldetails["solarSystemID"]))
regionName = ESI.getRegionName(geographicinformation, str(fulldetails["solarSystemID"]))
notifyingMessage = (pinger + " Sovereignty Structure Destroyed - [" + timestamp + "]\n" ... | |
layer.nshapes == shape[0]
assert np.all(layer.data[0] == data[0])
assert layer.ndim == shape[2]
assert np.all([s == 'rectangle' for s in layer.shape_type])
# Test (list of rectangles, shape_type) tuple
shape = (10, 4, 2)
vertices = 20 * np.random.random(shape)
data = (vertices, "rectangle")
layer = Shapes(data... | |
user, user_connections in six.iteritems(self.connections[project_id]):
if user == '':
# do not collect anonymous connections
continue
for uid, client in six.iteritems(user_connections):
if client.examined_at and client.examined_at + project.get("connection_lifetime", 24*365*3600) < now:
to_return.add(user)
ra... | |
self.get_index(date1)
S2 = self.get_index(date2)
print("removing "+str(S1+(self.n_t-S2-1))+" time points")
new_datax = self.x[S1:S2+1,:,:]
new_datay = self.y[S1:S2+1,:,:]
new_dates = self.dates[S1:S2+1]
if type(self.mask) == bool:
# just return the data because it's not masked
new_mask = self.mask
else:
... | |
<gh_stars>0
""" main file to create an index from the the begining """
import json
import logging
import logging.config
import multiprocessing
import os
import tempfile
import uuid
from typing import Any, Dict, List, Optional, Tuple, Union, cast
import faiss
import fire
import fsspec
import numpy as np
import pandas ... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
<NAME>, <NAME>, <NAME>
Sandia National Laboratories
December 12, 2019
Sudoku Board and Cell data structures.
"""
# import json
import uuid
import config_data
import copy
import logging
logger = logging.getLogger(__name__)
class Cell():
"""
A single cell on a Sudo... | |
using an exec based plugin.
:param flocker: Flocker represents a Flocker volume attached to a kubelet's host \
machine and exposed to the pod for its usage. This depends on the Flocker \
control service being running
:param gce_persistent_disk: GCEPersistentDisk represents a GCE Disk resource that \
is attached to... | |
else:
result = backtrack(lexerbuf)
return result
def _sedlex_rnd_152(lexerbuf: lexbuf):
result = -1
result = _sedlex_st_61(lexerbuf)
return result
def _sedlex_rnd_151(lexerbuf: lexbuf):
result = -1
result = _sedlex_st_60(lexerbuf)
return result
def _sedlex_st_59(lexerbuf: lexbuf):
result = -1
state_id = _s... | |
""" The portalpy module for working with the ArcGIS Online and Portal APIs."""
from __future__ import absolute_import
import copy
import json
import imghdr
import logging
import os
import tempfile
from .connection import _ArcGISConnection, _normalize_url
from .connection import _is_http_url
from .connection import _... | |
Description: 查询os通过当前云
Summary: 查询os通过当前云
"""
UtilClient.validate_model(request)
return deps_models.QueryBuildpackFindosbycurrentcloudResponse().from_map(
self.do_request('1.0', 'antcloud.deps.buildpack.findosbycurrentcloud.query', 'HTTPS', 'POST', f'/gateway.do', TeaCore.to_map(request), headers, runtime)
)
as... | |
osid.resource.ResourceLookupSession.get_resources_by_genus_type
# NOTE: This implementation currently ignores plenary view
collection = JSONClientValidated('authorization',
collection='Authorization',
runtime=self._runtime)
result = collection.find(
dict({'genusTypeId': str(authorization_genus_type)},
**self._vi... | |
<MappingProjection>` between them, in which supervised learning is used to modify the `matrix
<MappingProjection.matrix>` parameter of the `MappingProjections <MappingProjection>` in the sequence, so that the
input to the first ProcessingMechanism in the sequence generates an output from the last ProcessingMechanism th... | |
|_ __ _ __ _ ___ ___
# \___ \| __/ _` |/ _` |/ _ / __|
# ___) | || (_| | (_| | __\__ \
# |____/ \__\__,_|\__, |\___|___/
# |___/
#
################################################################################################
@app.route('/workflow/stage', cors=True, methods=['POST'], authorizer=authorizer)
def creat... | |
script
example_section_data.append(
Code(entries, "\n".join(item.out), ce_status)
)
if figname:
example_section_data.append(Fig(figname))
else:
assert isinstance(item.out, list)
example_section_data.append(Text("\n".join(item.out)))
# TODO fix this if plt.close not called and still a ligering figure.
fig_man... | |
script will be completely wiped, and replaced with the new one.
"""
def __init__(self):
self.version = 5.0
def check_update(self):
"""Sends the request to the github repository, and checks to see if the script needs and update."""
print(SquidNet.logo.fget())
print("[+] Checking for updates.....")
versio... | |
are used rule elements.
Constant groups et cetera
"""
@staticmethod
def single_position():
""" Single position N.
0...9 for 0...9
A...Z for 10...35
* for max_length
- for (max_length - 1)
+ for (max_length + 1)
a...k user-defined numeric variables (with the "v" command)
l initial or updated word's length ... | |
<gh_stars>0
from io import BytesIO
import os
from collections import OrderedDict
from typing import List
from pathlib import Path
import random
from sslib.bzs import parseBzs, buildBzs
import nlzss11
from sslib.u8file import U8File
from sslib import parseMSB, buildMSB, Patcher, AllPatcher
EXTRACT_ROOT_PATH='actual-ex... | |
{"ExonicFunc_ensGene": ["frameshift_deletion", "frameshift_insertion", "stopgain", "stoploss"]}},
{"terms": {"ExonicFunc_refGene": ["frameshift_deletion", "frameshift_insertion", "stopgain", "stoploss"]}},
{"term": {"Func_ensGene": "splicing"}},
{"term": {"Func_refGene": "splicing"}}
],
"minimum_should_match": 1
... | |
utilitiesquantumgates import quantumgates
from utilitiesquantumgates import utilities
from tensorboardutilities import tensorboardutilities
from datetime import datetime
import time
#%% datatypes
npdatatype=np.complex64
tfdatatype=tf.complex64
tfrealdatatype=tf.float32 # to use double switch aboe to complex128... | |
<reponame>meGregV/blpapi-python
# service.py
"""A service which provides access to API data (provide or consume).
All API data is associated with a 'Service'. A service object is obtained
from a Session and contains zero or more 'Operations'. A service can be a
provider service (can generate API data) or a consumer s... | |
True:
return (
65739, # {U_io_bind1}
None,
None,
None,
_idris_Python_46_Prim_46_next(None, e8),
(65753, e10, e9, e8) # {U_{Python.Prim.iterate:iter:0_lam5}1}
)
# Prelude.List.reverse, reverse'
def _idris_Prelude_46_List_46_reverse_58_reverse_39__58_0(e0, e1, e2):
while True:
if e2: # Prelude.List.::
in0, in... | |
# 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... | |
from django.apps import apps
from django.contrib.auth.management import create_permissions
from project import settings
# def post_migrate_create_organization(sender, **kwargs):
# for app_config in apps.get_app_configs():
# create_permissions(app_config, apps=apps, verbosity=0)
#
# Organization = sender.get_model("Or... | |
= getResultPercentage(testSetData)
resultSet.append(["Condition (Multi Agent Attributes)", testSetPercentage, copy.deepcopy(testSetData)])
#Creating source metamemes via the script facade
testSetData = testSourceCreateMeme('SourceCreateMeme.atest')
testSetPercentage = getResultPercentage(testSetData)
resultSet.a... | |
102, 195, 251, 219, 219, 126, 60],
9718: [60, 102, 195, 223, 219, 219, 126, 60],
9719: [60, 126, 219, 219, 223, 195, 102, 60],
9720: [255, 198, 204, 216, 240, 224, 192, 128],
9721: [255, 99, 51, 27, 15, 7, 3, 1],
9722: [1, 3, 7, 15, 27, 51, 99, 255],
9723: [0, 124, 108, 108, 108, 124, 0, 0],
9724: [0, 124, 124, ... | |
import copy
import datetime
import logging
from dataclasses import dataclass
from enum import Enum
from typing import Dict, List, Sized, Callable
from googleapiwrapper.gmail_api import ThreadQueryResults
from pythoncommons.file_utils import FileUtils
from pythoncommons.html_utils import HtmlGenerator
from pythoncommon... | |
- ans) / S
print 'Case #%s: %.16f' % (test + 1, ans)
infile.close()
return s
def func_aafe1dd3eefe46588c6a04ec53f17d6d(infile):
for test in range(int(infile.readline())):
N, p, q, r, s = map(int, infile.readline().split())
D = [((i * p + q) % r + s) for i in range(N)]
S = sum(D)
ans = S
A, B, C = 0, 0, S
a ... | |
kmeans.cluster_centers_
else:
return None, None
def _log_interesting_stats(self, stats):
"""
# Provide interesting insights about the data to the user and send them to the logging server in order for it to generate charts
:param stats: The stats extracted up until this point for all columns
"""
for col_name i... | |
@param **kw
Further keyword arguments are used in case of
``algo==proper_x_dist`` and are supplied to the x_distance()
method calls.
"""
if algo == 'circumference':
f = self.circumference
elif algo in ('coord', 'proper_x_dist'):
f = lambda param: self(param)[0]
else:
raise ValueError("Unknown algorithm: %s" %... | |
#!/usr/bin/env python
"""
Copyright (c) 2016, <NAME>
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
notice, this list of conditions an... | |
(1 - alpha)
x = ts.to_numpy()[:i + 1]
ema = sum(weights * x) / sum(weights)
debias_fact = sum(weights) ** 2 / (sum(weights) ** 2 - sum(weights ** 2))
var = debias_fact * sum(weights * (x - ema) ** 2) / sum(weights)
std[i] = np.sqrt(var)
std[0] = np.NaN
return std
dates = [
date(2019, 1, 1),
date(2019, 1, 2),... | |
True)
self.update_treestore.set_value(iter, 1, sepolicy.boolean_desc(bools))
self.update_treestore.set_value(iter, 2, action[self.cur_dict["boolean"][bools]['active']])
self.update_treestore.set_value(iter, 3, True)
niter = self.update_treestore.append(iter)
self.update_treestore.set_value(niter, 1, (_("SELinux na... | |
import keras
from keras.models import Sequential, Model, load_model
from keras.layers import Dense, Dropout, Activation, Flatten, Input, Lambda
from keras.layers import Conv2D, MaxPooling2D, BatchNormalization, Concatenate, Reshape, Softmax
from keras import backend as K
import keras.losses
import os
import pickle... | |
stc.StyleSetSpec(wx.stc.STC_P_STRING, "fore:%(strfg)s,face:%(mono)s" % faces)
stc.StyleSetSpec(wx.stc.STC_P_CHARACTER, "fore:%(strfg)s,face:%(mono)s" % faces)
stc.StyleSetSpec(wx.stc.STC_P_WORD, "fore:%(keywordfg)s,bold" % faces)
stc.StyleSetSpec(wx.stc.STC_P_TRIPLE, "fore:%(q3sfg)s" % faces)
stc.StyleSetSpec(wx.st... | |
REM @ider
def _get_all_{tbl}_rowids({self}):
r""" all_{tbl}_rowids <- {tbl}.get_all_rowids()
Returns:
list_ (list): unfiltered {tbl}_rowids
TemplateInfo:
Tider_all_rowids
tbl = {tbl}
Example:
>>> # ENABLE_DOCTEST
>>> from {autogen_modname} import * # NOQA
>>> {self}, config2_ = testdata_{autogen_key}()
>... |
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