input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
from datetime import datetime, timezone
from typing import List, Optional
from pathlib import Path
import os
import configparser
import getpass
from sqlalchemy import create_engine, func, event, and_, inspect
from sqlalchemy.orm import sessionmaker, aliased
from fire.api.model import (
RegisteringTidObjekt,
Fikspun... | |
#!/usr/bin/env python3
#
# SPDX-License-Identifier: MIT
#
# This file is formatted with Python Black
"""
A Parser helper function to convert a byte array to a Python object and the
other way around. The conversion is specified in a list of :class:`Spec`
instances, for example:
>>> data = bytes(range(16))
>>> spec =... | |
<filename>tests/google/appengine/api/memcache/memcache_unittest.py
#!/usr/bin/env python
#
# Copyright 2007 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.or... | |
activation
actv = activation == 'relu' and (lambda: LeakyReLU(0.0)) or activation == 'elu' and (lambda: ELU(1.0)) or None
# vertical 1
c1_1 = Conv2D(filters=filters // 16, kernel_size=(1, 1), padding='same',
activation=activation, kernel_initializer='he_normal')(inputs)
if version == 'b':
c1_2 = NConv2D(filters=... | |
from flask import Flask, request, render_template, send_file, Response
import io
import base64
import csv
import json
import time
from collections import OrderedDict
import numpy
import pandas as pd
from numpy import genfromtxt
from flask import jsonify
from flask_cors import CORS
from LoadingNetwork import... | |
"sollte es" sein. Und "$so$ ist $es$" hier.',
u'So "`sollte es"\' sein. Und \\@"`$so$ ist $es$\\@"\' hier.'],
[u'Bitte "ACRONYME" berücksichtigen.',
u'Bitte "`\\@\\acronym{ACRONYME}"\' berücksichtigen.'],
[u'"Altern der DNA"',
u'"`Altern der \\@\\acronym{DNA}"\''] ]
abbreviation = [ [u'Von 3760 v.Chr. bis 2012 n... | |
<gh_stars>1-10
# -*- coding: utf-8 -*-
#
####################################################
#
# PRISM - Pipeline for animation and VFX projects
#
# www.prism-pipeline.com
#
# contact: <EMAIL>
#
####################################################
#
#
# Copyright (C) 2016-2020 <NAME>
#
# Licensed under GNU GPL-3.0-or-... | |
<reponame>moniqklimek/training
import json
import pprint
"""
TITLE: imagine buy in bookshoop - interaktive fun with User :)
ISSUE : help you choose the right item, get to know the User's preferences, i.e. - the thematic category that interests him, the results improved for him, a detailed description of the selected... | |
used after
a database has been created."""
def __init__(self, conn):
self.conn = conn
def database_name(self):
"""Returns the name of the connected database."""
sql = ("SELECT catalog_name\n" +
"FROM information_schema.information_schema_catalog_name;")
with self.conn.cursor() as curs:
curs.execute(sql)
d... | |
#!/usr/bin/env python
# coding: utf-8
# this code is a modification of:
# notes:
# todo : I canceled the randomize weights for the last layer + freezed the weights for all of the layers (some weights were trained anyway).
#todo : mayb -- save to fule during evaluate function the outputs
# **Outline of Steps**
# + Init... | |
_ida_hexrays.hx_boundaries_insert
hx_boundaries_erase = _ida_hexrays.hx_boundaries_erase
hx_boundaries_clear = _ida_hexrays.hx_boundaries_clear
hx_boundaries_size = _ida_hexrays.hx_boundaries_size
hx_boundaries_free = _ida_hexrays.hx_boundaries_free
hx_boundaries_new = _ida_hexrays.hx_boundaries_new
hx_block_chains_beg... | |
<reponame>mondO/pymtl3<filename>pymtl3/dsl/test/Slicing_test.py<gh_stars>1-10
"""
========================================================================
Slicing_test.py
========================================================================
Author : <NAME>
Date : Aug 23, 2018
"""
from pymtl3.datatypes import Bits2,... | |
# coding: utf-8
"""*****************************************************************************
* Copyright (C) 2018 Microchip Technology Inc. and its subsidiaries.
*
* Subject to your compliance with these terms, you may use Microchip software
* and any derivatives exclusively with Microchip products. It is your
* re... | |
"""Utility functions to support DU437 activities.
Authors
-------
<NAME>
"""
import copy
import os
from astropy.table import Table
from astropy.time import Time
import numpy as np
import pylab as pl
from .. import gaia_astrometry, pystrometry
try:
from helpers.table_helpers import plot_columns_simple
except Im... | |
# -*- coding: utf-8 -*-
"""
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, ... | |
<gh_stars>1-10
#!/usr/bin/env python
"""SeqAn documentation raw object representation.
This is the direct representation as it can be determined from the embedded
Doxygen-style comments without the interpretation of commands within clauses
and cross-linking.
"""
import textwrap
import dox_tokens
import raw_doc
class... | |
denied.'), 'error')
return redirect(return_url)
if export_type == 'csv' or export_type == 'tsv':
return self._export_csv(return_url, export_type)
else:
return self._export_tablib(export_type, return_url)
def _export_csv(self, return_url, export_type):
"""Export a CSV or tsv of records as a stream."""
delimite... | |
<gh_stars>0
"""
This is a module holding the rule network class
"""
import logging
import matplotlib.pyplot as plt
import numpy as np
from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.metrics import accuracy_score
from sklearn.preprocessing import LabelBinarizer
from sklearn.utils import shuffle
fro... | |
<filename>application/pages/volume_profile_analysis/volume_profile_analysis.py
"""This example app demonstrates how to use Panel and the HoloViews ecosystem to
analyze Volume Profiles as described in the [How to Analyze Volume Profiles With Python Blog Post]\
(https://medium.com/swlh/how-to-analyze-volume-profiles-wi... | |
<filename>robot/Link.py
"""
Link object.
@author: <NAME>
@copyright: <NAME>
"""
from numpy import *
from .utility import *
from .transform import *
import copy
import numpy as np
import math
import time
class Link:
"""
LINK create a new LINK object
A LINK object holds all information related to a robot link suc... | |
from __future__ import print_function
from math import pi
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.utils.data
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
import sys
import softpool as sp
sys.path.append("../expansion_penalty/")
import expansion_... | |
import sqlite3
from sqlite3 import Error
class StoringData:
__instance = None
@staticmethod
def getInstance():
# Static access method.
if StoringData.__instance == None:
StoringData()
return StoringData.__instance
def __init__(self): # init method or constructor
# Virtually private constructor.
if Stori... | |
<gh_stars>10-100
import os
import sys
import re
import ast
from heapq import nlargest
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle, Circle, PathPatch, Path
import numpy as np
import scipy.interpolate
import tkinter as tk
import cv2
import... | |
context):
ConvertedObj = Ue4SubObj_set("SK_Socket")
if len(ConvertedObj) > 0 :
self.report({'INFO'}, str(len(ConvertedObj)) + " object(s) of the selection have be converted to to UE4 Socket." )
else :
self.report({'WARNING'}, "Please select two objects. (Active object is the owner of the socket)")
r... | |
w1 = {linear_regression.coef_[0]:.2f}, "
f"best intercept: w0 = {linear_regression.intercept_:.2f}"
)
# %% [markdown]
# It is important to note that the model learnt will not be able to handle
# the non-linear relationship between `x` and `y` since linear models assume
# the relationship between `x` and `y` to be lin... | |
import numpy as np
import cv2
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions.categorical import Categorical
import torch_ac
class BasicFCModel(nn.Module):
"""
Fully connected Actor-Critic model. Set architecture that is smaller and quicker to train.
Designed for defa... | |
")
if dl == 'y' or dl == 'Y':
os.system("curl -L http://lowelab.ucsc.edu/software/tRNAscan-SE.tar.gz -o trnascan.tar")
os.system("tar xvf trnascan.tar")
os.system("mv tRNAscan-SE-1.3.1 ./Utilities/cpp/%s%s-%s%strnascan"%(os.sep, OSTYPE, MACHINETYPE, os.sep))
os.chdir("./Utilities/cpp/%s%s-%s%strnascan"%(os.sep, OS... | |
= self.imgStdSize[1]//2 + width//2
#print(xlim_1, xlim_2, ylim_1, ylim_2)
#print("Image shape:", image.shape)
background[xlim_1 : xlim_2, ylim_1: ylim_2] = image
return {'props': blobProperties, 'image': background}
def getFileNumber(self, filename):
return int(filename.split('.')[0].split('/')[-1])
# From... | |
<gh_stars>0
import torch.nn as nn
import torch
import os
from function import adaptive_instance_normalization as adain
from function import calc_mean_std
# from torch.utils.serialization import load_lua
import numpy as np
def load_param_from_t7(model, in_layer_index, out_layer):
out_layer.weight = torch.nn.Parameter... | |
#!/usr/bin/env python
import os
import sys
import argparse
import subprocess # nosec
import re
import fnmatch
import json
import urllib
from urllib.parse import urlencode
from urllib.request import Request, urlopen
env = os.environ
class BColors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGRE... | |
options.
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidArgument`
If the given spec and/or option contains error.
"""
task_id = self._invoke('check$task',
{
'spec': spec,
'options': options,
})
task_svc = Tasks(self._config)
task_instance = Task(task_id, task_svc, type.VoidType())
return task_inst... | |
"""defines various GUI unit tests"""
import os
import shutil
import unittest
import numpy as np
try:
import matplotlib.pyplot as plt
IS_MATPLOTLIB = True
except ImportError:
IS_MATPLOTLIB = False
import pyNastran
from pyNastran.gui.utils.load_results import (
load_csv, load_deflection_csv, load_user_geom, create_... | |
字幕&加油添醋 by TY\'s Allen | 感謝heylisa00cavey1001同學熱情提供梗及翻譯',
'uploader': '孫ᄋᄅ',
'title': '[A-made] 變態妍字幕版 太妍 我就是這樣的人',
},
},
{
'url': 'https://vid.plus/FlRa-iH7PGw',
'only_matching': True,
},
{
'url': 'https://zwearz.com/watch/9lWxNJF-ufM/electra-woman-dyna-girl-official-trailer-grace-helbig.html',
'only_matchi... | |
def library_config_path(self):
"""
The library Config path.
:return: The library config directory
:rtype: str
"""
if self._options is not None:
return self._options.config_path
else:
return None
@property
def library_user_path(self):
"""
The library User path.
:return: The user directory to store user... | |
#
#
# A class to parse HDF5 based NeuroML files.
# Calls the appropriate methods in DefaultNetworkHandler when cell locations,
# network connections are found. The DefaultNetworkHandler can either print
# information, or if it's a class overriding DefaultNetworkHandler can create
# the appropriate network in a simulato... | |
# Copyright 2016 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 applicable ... | |
<gh_stars>100-1000
# Copyright (c) 2014 Dell 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 agree... | |
histogram title
hist_title = stats_font.render('GUESS DISTRIBUTION', True, white, background)
statsRectHist = hist_title.get_rect()
statsRectHist.center = (width // 2, height - 150)
# histogram labels and locations
hist_font = pygame.font.Font('freesansbold.ttf', 11)
# labels
hist_label1 = hist_font.ren... | |
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 23 18:14:28 2020
@author: zhang
"""
import random
import requests
import json
import time
import re
import os
import traceback
from collections import OrderedDict
from requests.adapters import HTTPAdapter
from tqdm import tqdm
from threading import Thread,... | |
frame folder loaded first
if not self.frames_folder:
tkMessageBox.showinfo(title = "Warning", message = "Load video frames directory first")
return
if self.label_number == 0:
tkMessageBox.showinfo(title = "Warning", message = "Can not extract while label is 0")
return
# check if there is annotated model for th... | |
<reponame>NiclasEriksen/rpg_procgen
import math
import random
from functions import *
from spanning_tree import get_connections
import gridmancer
import numpy as np
from collections import Counter
import jsonpickle # For saving the dungeon
class DungeonGenerator:
def __init__(self, logger, config=None):
self.logge... | |
# import dash IO and graph objects
from dash.dependencies import Input, Output
# Plotly graph objects to render graph plots
import plotly.graph_objects as go
import plotly.express as px
from plotly.subplots import make_subplots
# Import dash html, bootstrap components, and tables for datatables
from dash import html
... | |
<gh_stars>10-100
# Copyright (c) 2020 - 2021 Open Risk (https://www.openriskmanagement.com)
#
# 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... | |
Ang.)
#""" This will make that the X-axis in the resolution plots has units 1/Angstrom
#"""
#ResolSam=9.6
#
## {expert} Display resolution?
#DisplayResolution=False
#
##-----------------------------------------------------------------------------
## {section} Low-pass filtering
##---------------------------------------... | |
from threading import Thread
import pandas
import matplotlib.pyplot as plt
import shutil
import os
import subprocess
import time
from django.template import loader
import signal
from django.http import HttpResponse
from django.shortcuts import render, redirect
import re
threads=[]
stop=False
proc1 = None
live_flag=0
... | |
TexMobject("\\over \\,")
frac_line.stretch_to_fit_width(numerator.get_width())
frac_line.next_to(numerator, DOWN)
denominator = TextMobject("(Num. samples)")
denominator.next_to(frac_line, DOWN)
self.play(ShowCreation(v_lines, run_time = 3))
self.wait()
self.play(
ReplacementTransform(
v_lines.copy(),
summed... | |
function parameter or return value."
"\nFunction annotations are usually used for type hints: for example, this function is \n"
"expected to take two int arguments and is also expected to have an int return value:"
"\ndef sum_two_numbers(a: int, b: int) -> int:\n return a + b\nFunction annotation \n"
"syntax is exp... | |
copy.deepcopy(subnet)
subnet_request["subnet"]["dns_nameservers"] = dns_nameservers
subnet_request["subnet"]["gateway_ip"] = gateway_ip
res = self.plugin.create_subnet(self.context, subnet_request)
self.assertEqual(subnet_create.call_count, 1)
self.assertEqual(dns_create.call_count, 0)
self.assertEqual(route_crea... | |
on raster: " + self.raster_info_lf)
try:
max_lf = float(max(self.lifespans))
self.logger.info(" * max. lifespan: " + str(max_lf))
except:
max_lf = 50.0
self.logger.info(
" * using default max. lifespan (error in input.inp definitions): " + str(max_lf))
temp_ras_base = Con((IsNull(self.raster_dict_lf[sel... | |
<filename>hoa_chargen.py<gh_stars>0
#
# Heroes of Aegypt! Character Generator
#
###########################################
"""
HOA Chargen 0.0.1 Beta
-----------------------------------------------------------------------
This program generates characters for the Expedition to Ancient Aegypt! RPG.
"""
from PyQt5.Qt... | |
<gh_stars>10-100
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
from torchvision.ops import RoIAlign, RoIPool, nms
import numpy as np
from utils.config import cfg
from nets.generate_anchors import generate_anchors_pre
from nets.proposal_layer import proposal_la... | |
<filename>external/metadata/factory.py
# -*- coding: iso-8859-1 -*-
# -----------------------------------------------------------------------------
# factory.py
# -----------------------------------------------------------------------------
# $Id$
#
# --------------------------------------------------------------------... | |
# Licensed under a 3-clause BSD style license - see LICENSE
'''
This module provides the framework for grouping sources from two photometric catalogues into
distinct "islands" of sources, along with calculating whether they are within overlap for
various photometric integral purposes.
'''
import sys
import os
import n... | |
<reponame>LaudateCorpus1/oci-ansible-collection
#!/usr/bin/python
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.tx... | |
Worker",
"Composer Or Musician": "Singer",
"Computer Programming": "Technologist",
"Computer Support Technician": "Technologist",
"Counseling": "Counselor",
"Counselor": "Counselor",
"Dentist": "Health Worker",
"Designer": "Artist",
"Detectives": "Detective",
"Doctor": "Health Worker",
"Electrician": "Mechani... | |
# Author: SiliconSloth 18/1/2018
from threading import Thread, Timer
import numpy as np
import cPickle, serial, os, time, subprocess
import cv2
# PyCharm seems to need this to work properly.
# try:
# from cv2 import cv2
# except:
# pass
# This script is responsible for actually driving the robot automat... | |
y_))
optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.01)
train_op = optimizer.minimize(loss, name='train')
init = tf.global_variables_initializer()
# Creating a tf.train.Saver adds operations to the graph to save and
# restore variables from checkpoints.
saver_def = tf.train.Saver().as_saver_def
... | |
E501
raise ApiValueError("Missing the required parameter `function_type` when calling `archive_by_function_type`") # noqa: E501
# verify the required parameter 'app_id' is set
if self.api_client.client_side_validation and ("app_id" not in local_var_params or local_var_params["app_id"] is None): # noqa: E501 # noqa: ... | |
from application.notification import IObserver, NotificationCenter
from application.python import Null
from application.python.types import Singleton
from datetime import timedelta
from sipsimple.account import Account, AccountManager
from sipsimple.application import SIPApplication
from sipsimple.audio import WavePla... | |
<reponame>oponcea/ceph-uprev-stx-config
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (c) 2018 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
# All Rights Reserved.
#
""" System Inventory Kubernetes Application Operator."""
import docker
import grp
import os
import pwd
import re
import... | |
_svalue += '-'
total_seconds *= -1
else:
_svalue += '+'
hours = total_seconds // 3600
minutes = (total_seconds - (hours * 3600)) // 60
_svalue += '{0:02d}:{1:02d}'.format(
hours, minutes)
except AttributeError:
pass
return _svalue
@classmethod
def gds_parse_date(cls, input_data):
tz = None
if input_data[-... | |
is systematically present in the list of
# ordering fields so we can guarantee a deterministic order across all
# database backends.
pk_name = self.lookup_opts.pk.name
if not (set(ordering) & {'pk', '-pk', pk_name, '-' + pk_name}):
# The two sets do not intersect, meaning the pk isn't present. So
# we add it.
or... | |
"""
-----------------------------------------------
EE2703: Applied Programming Lab (Jan-May 2020)
Assignment: Final Exam
Name: <NAME>
Roll no.: EE18B122
-----------------------------------------------
"""
# imports
import sys
from scipy.linalg import lstsq
import numpy as np
import matplotlib.pyplot as plt
import ma... | |
import os
import time
import tkinter
import sqlite3
import json
import smtplib
import locale
import requests
import threading
import html2text as h2t
from tkinter import *
from tkinter.ttk import *
from tkinter import filedialog
from tkinter import messagebox
from email import encoders
from email.mime.text import MIMET... | |
= mutant_to_letter_pos_idx_focus_list[mutant]
mut_aa = mutant[-1]
focus_seq_copy[idx_focus] = mut_aa
return focus_seq_copy
print("Getting mutated sequences")
# First sequence is the wt sequence
mutant_sequences = [list(self.focus_seq_trimmed)[:]]
valid_mutants = ['wt']
# df_input.apply(lambda row: get_mutated... | |
"""Association testing"""
from datetime import datetime
from io import BytesIO
import logging
import os
from pathlib import Path
import queue
import socket
import sys
import time
import threading
import pytest
from pydicom import dcmread
from pydicom.dataset import Dataset, FileMetaDataset
from pydicom.uid import (
... | |
<reponame>WithPrecedent/amos<gh_stars>0
"""
mappings: extensible, flexible, lightweight dict-like classes
<NAME> <<EMAIL>>
Copyright 2021, <NAME>
License: Apache-2.0
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... | |
<reponame>Nexuscompute/inplace
"""
In-place file processing
The ``in_place`` module provides an ``InPlace`` class for reading & writing a
file "in-place": data that you write ends up at the same filepath that you read
from, and ``in_place`` takes care of all the necessary mucking about with
temporary files for you.
V... | |
file containing Semi-Empirical building inventory data in an HDFContainer. (described in __init__).
:param collapse_file:
HDF5 file containing Semi-Empirical collapse rate data in an HDFContainer. (described in __init__).
:param casualty_file:
HDF5 file containing Semi-Empirical casualty rate data in an HDFContaine... | |
<gh_stars>0
import json
import logging
import pytz
from typing import List
from datetime import datetime
from enum import Enum
from fastapi import BackgroundTasks
from sqlalchemy.orm import Session
from dispatch.database import SessionLocal
from dispatch.decorators import background_task
from dispatch.messaging impor... | |
np.conj(Ylms[pair1]) * Ylms[pair2]
term2b += F[det]*F[det]*Ylms[pair1]*Ylms[pair2]*crossTermsV[(pair1,pair2)] #((-1)**pair1[0])*crossTerms[det][((pair1[0],-pair1[1]),pair2)]
term2a = -np.real(term2a) / 4. /(distMpc/distMpcRef)**2
term2b = -term2b/4./(distMpc/distMpcRef)**2 # coefficient of exp(-4ipsi)
term1 = 0.
... | |
from . import ClientImageHandling
from . import ClientParsing
from . import ClientPaths
from . import ClientRendering
from . import ClientSearch
from . import ClientServices
from . import ClientThreading
from . import HydrusConstants as HC
from . import HydrusExceptions
from . import HydrusFileHandling
from . import Hy... | |
log1mX - self.Z)
return ret
def CDF(self,x):
if math.isnan(x):
return float("nan")
elif (x <= 0.0):
return 0.0
elif (x >= 1.0):
return 1.0
else:
return incompleteBetaFunction(x,self.alpha,self.beta)
def QF(self,p):
if math.isnan(p):
return float("nan")
elif (p > 1.0) or (p < 0.0):
raise PFARuntimeExcep... | |
- reprojection
# reproject longitude to the landsat projection and save as tiff file
lon_rep, ulx_dem, lry_dem, lrx_dem, uly_dem, epsg_to = SEBAL.reproject_dataset(lon_fileName, pixel_spacing, UTM_Zone=UTM_Zone)
# Get the reprojected longitude data
lon_proy = lon_rep.GetRasterBand(1).ReadAsArray(0, 0, ncol, nr... | |
<filename>dist/weewx-4.4.0/bin/weeimport/weeimport.py
#
# Copyright (c) 2009-2019 <NAME> <<EMAIL>> and
# <NAME>
#
# See the file LICENSE.txt for your full rights.
#
"""Module providing the base classes and API for importing observational data
into WeeWX.
"""
from __future__ import with_statement
from __future__ impor... | |
import os
import json
import boto3
import time
import requests
import pyotp
import logging
import random
from datetime import datetime
from requests.exceptions import HTTPError
from requests.exceptions import ConnectionError
from ask_sdk_core.skill_builder import SkillBuilder
from ask_sdk_core.dispatch_components imp... | |
is None:
self.name = f"js-{self.filename.replace('_', '-')}"
class _WebEngineScripts(QObject):
def __init__(self, tab, parent=None):
super().__init__(parent)
self._tab = tab
self._widget = cast(QWidget, None)
self._greasemonkey = greasemonkey.gm_manager
def connect_signals(self):
"""Connect signals to our p... | |
262.4, 265.5, 289.1],
[289.5, 264.5, 275.2, 256.3, 259.8, 290.0, 260.7, 272.7],
[281.6, 278.4, 266.6, 264.4, 264.6, 264.2, 281.8, 271.2],
[285.1, 282.4, 289.6, 262.2, 285.0, 273.2, 257.9, 280.2],
[290.3, 284.4, 299.6, 266.6, 261.0, 273.5, 274.5, 284.6],
],
[
[270.8, 282.5, 290.8, 266.6, 285.0, 275.8, 290.5, 268.... | |
Element) -> None:
self.body.append(r'\sphinxoptional{')
def depart_desc_optional(self, node: Element) -> None:
self.body.append('}')
def visit_desc_annotation(self, node: Element) -> None:
self.body.append(r'\sphinxbfcode{\sphinxupquote{')
def depart_desc_annotation(self, node: Element) -> None:
self.body.app... | |
wx.stc.STC_ADA_STRING
wxSTC_ADA_STRINGEOL = wx.stc.STC_ADA_STRINGEOL
wxSTC_ADA_LABEL = wx.stc.STC_ADA_LABEL
wxSTC_ADA_COMMENTLINE = wx.stc.STC_ADA_COMMENTLINE
wxSTC_ADA_ILLEGAL = wx.stc.STC_ADA_ILLEGAL
wxSTC_BAAN_DEFAULT = wx.stc.STC_BAAN_DEFAULT
wxSTC_BAAN_COMMENT = wx.stc.STC_BAAN_COMMENT
wxSTC_BAAN_COMMENTDOC = wx.s... | |
<gh_stars>1-10
#
# Copyright (c) 2022 <NAME>
#
# MIT License - See LICENSE file accompanying this package.
#
"""
Implementation of CloudInitDoc, a container that can render cloud-init
user-data documents that are single-part or multi-part.
"""
from base64 import b64encode
from typing import Optional, List, Union
fro... | |
given user.
Parameters
----------
conn : Connection
The database connection to use.
user : DBUser or int
The linked user to search for. May be a `DBUser` object or an `int`
referring to a user ID.
"""
try:
user_id = user.id
except AttributeError:
user_id = int(user)
async with conn.cursor() as cur:
await... | |
of a certain size. For use during
# CDDL parsing.
def set_size_range(self, min_size, max_size):
if min_size == max_size:
return self.set_size(min_size)
elif min_size > max_size:
raise TypeError(
"Invalid size range (min %d, max %d)" %
(min_size, max_size))
else:
self.set_size(None)
self.set_min_size(min_size... | |
2*mckin**2*q_cut + q_cut**2)/mbkin**4)))**2)/mbkin**4 -
(8640*mckin**8*((mbkin**4 - 2*mbkin**2*mckin**2 + mckin**4 - 2*mbkin**2*q_cut -
2*mckin**2*q_cut + q_cut**2)/mbkin**4)**(3/2)*(72*mckin**2*muG -
(144*mckin**4*muG)/mbkin**2 - (432*mckin**6*muG)/mbkin**4 -
(36*mckin**2*muG**2)/mbkin**2 + (72*mckin**4*muG*... | |
from abc import ABC, abstractmethod
from copy import deepcopy
import numpy as np
import tensorflow as tf
# source: http://geomalgorithms.com/a06-_intersect-2.html
# source: https://www.erikrotteveel.com/python/three-dimensional-ray-tracing-in-python/
gpu_phy_devices = tf.config.list_physical_devices('GPU')
try:
for ... | |
from __future__ import print_function
from itertools import chain
from math import log
from .utility import init_matrix, init_3d_matrix
class HiddenMarkovModel:
"""
Notation used:
HMM: Hidden Markov Model
O: Observation sequence
S: Hidden state sequence
A: State transition probability distribution matrix
B: O... | |
#!/usr/bin/python
from krrt.utils import get_opts, write_file
from krrt.planning.strips.representation import parse_problem, generate_action, Action
from krrt.planning import parse_output_FF, parse_output_popf, parse_output_ipc
from krrt.sat.CNF import OptimizedLevelWeightedFormula
from linearizer import count_linear... | |
# Copyright (c) 2016 Iotic Labs Ltd. 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
#
# https://github.com/Iotic-Labs/py-IoticAgent/blob/master/LICENSE
#
# Unless requir... | |
<filename>psyneulink/library/components/mechanisms/processing/objective/predictionerrormechanism.py
# Princeton University licenses this file to You 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... | |
= angle, s_s = s_s, w_text = w_text, font = font)
self.collection = []
self.changeFlag = True
self.enumerator_p()
self.kill()
#ДАТЬ ПАРАМЕТРЫ ОБЪЕКТА
def get_conf(self, obj):
return get_conf.get_conf(obj, graf)
def get_circle_conf(self, obj):
return get_conf.get_circle_conf(obj, graf)
def get_arc_conf(sel... | |
9 or bufsz)
def fileno(self):
return self.f.fileno()
def _write_header(self, pkt):
self.header_present=1
if self.linktype == None:
if type(pkt) is list or type(pkt) is tuple:
pkt = pkt[0]
self.linktype = LLNumTypes.get(pkt.__class__,1)
if self.append:
# Even if prone to race conditions, this seems to ... | |
# constants.py
# Copyright 2010, 2020 <NAME>
# Licence: See LICENCE (BSD licence)
"""Constants for Portable Game Notation (PGN) parser.
The defined constants are used when parsing PGN and FEN text, and when checking
the PGN game score represents a legal sequence of moves and variations.
"""
# r'(?:([a-h])x)?(([a-h]... | |
__all__",
"undefined-all-variable",
"Used when an undefined variable name is referenced in __all__.",
),
"E0604": (
"Invalid object %r in __all__, must contain only strings",
"invalid-all-object",
"Used when an invalid (non-string) object occurs in __all__.",
),
"E0605": (
"Invalid format for __all__, must be... | |
to use
a proxy mesh."""
mod = False
m_count = len(ob.modifiers)
if m_count > 0:
show = np.zeros(m_count, dtype=np.bool)
ren_set = np.copy(show)
ob.modifiers.foreach_get('show_render', show)
ob.modifiers.foreach_set('show_render', ren_set)
mod = True
#v_count = len(mesh.vertices)
#normal = np.zeros(v_count * ... | |
# coding: utf-8
# 我觉得变量太多的alpha factor我暂时搁置，以及我觉得rank函数比较奇怪，因为range太大了，是否需要设置一个窗口呢？
#
#
# ## Dropped Index:
# - Alpha30(要用到fama三因子)
# - Alpha75(要用到BENCHMARKINDEX)
# - Alpha143(要用到SELF函数)
# - Alpha149(要用到BENCHMARKINDEX)
# - Alpha181(要用到BENCHMARKINDEX)
# - Alpha182(要用到BENCHMARKINDEX)
### 对于：？较为复杂的表达式，我都先用一些中间变量存储中间... | |
import re
from flaski import app
from flask_login import current_user
from flask_caching import Cache
from flaski.routines import check_session_app
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as db... | |
<filename>Generate Files/template.py
#template.py module
import tkinter as tk
from tkinter import ttk
import tkinter.filedialog
from tkinter import messagebox
from pandas import concat, read_csv
from style import window_style, LayoutManager, check_size
from dragdrop import SourceDragManager, TargetDragManager
import ... | |
'61875269':{'en': 'Meningie East'},
'61875270':{'en': 'Mypolonga'},
'61875271':{'en': 'New Well'},
'61875272':{'en': 'Parndana'},
'61875273':{'en': 'Paruna'},
'61875274':{'en': 'Peebinga'},
'61875275':{'en': 'Penneshaw'},
'61875276':{'en': 'Robertstown'},
'61875277':{'en': 'Sanderston'},
'61875278':{'en': 'San... | |
| B) == not A & not B
# not (A & B) == not A | not B
def primitive_datatypes():
# int, 32 bit 10
# long Intiger > 32bits 10L
# float 10.0
# complex 1.2j
# bool True, False
# str "mystr"
# tuple (immutable sequence) (2,4,7)
# list (mutable sequence) [2,x,3.1]
# dict (Mapping) {x:2, y:2}
pass
def math_ops()... | |
crc32(filename, slice = OneM):
with open(filename, "rb") as f:
buf = f.read(slice)
crc = binascii.crc32(buf)
while True:
buf = f.read(slice)
if buf:
crc = binascii.crc32(buf, crc)
else:
break
return crc & 0xffffffff
def enable_http_logging():
httplib.HTTPConnection.debuglevel = 1
logging.b... |
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