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import os import shutil import sys import threading import _thread import time import channelpy import configparser from aga import Agave from auth import get_tenant_verify from channels import ActorMsgChannel, ClientsChannel, CommandChannel, WorkerChannel, SpawnerWorkerChannel from codes import ERROR, READY, BUSY, C...
tn13) n131 = self.context.mk_or(n60, tn12) self.nets['A7E_requirements/Enum2'] = n131 # A7E_requirements/Assumption2 self.context.mk_assumption(n131) # A7E_requirements/AflyUpd n133 = self.context.mk_number('22', self.context.mk_int8_type()) self.nets['A7E_requirements/AflyUpd'] = n133 # A7E_requirements/ro21 -...
Calendar, etc_)": 388, # "mobile_apps.Corporate portal (MS Sharepoint, Pingboard, etc_)": 389, # "mobile_apps.Service desk/Help desk (Zendesk, Jira Service Desk, etc_)": 390 # }, # "corporate_mail_server": { # "corporate_mail_server": 391 # }, # "corporate_suite": { # "corporate_suite.None": 392, # "corporate_suite.G S...
# Copyright 2021, Blue Brain Project, EPFL # # 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...
<gh_stars>0 import numpy as np import sys import copy sys.setrecursionlimit(100000) from numba import njit,jit from timeit import default_timer as timer import qcqc from util import Fgamma,hyp1f1_in_njit @njit('int64(int64)') def shell_to_basis(am): return (am+1)*(am+2)/2 @njit('int64(int64)') def fact2(n): if (n <...
is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.deviceset is not None and 'deviceset' not in already_processed: already_processed.append('deviceset') showIndent(outfile, level) outfile.write('devic...
bond2params = OrderedDict() # store a tuple with the 2-body bond # interaction type, and its parameters # for every type of bond bond2priority = OrderedDict() # What is the priority of this interaction? bond2style = OrderedDict() # What LAMMPS bond style (formula) # is used for a given interaction? bond_styles = ...
#!/usr/bin/env python3 # coding: utf-8 # Author:<NAME> <<EMAIL>> import warnings import time import numpy as np import re import random from random import randint from ..normalization.normalizer import Normalizer from ..duplicate_detection.duplicate_detector import Duplicate_detector from ..outlier_detection.outlier_...
# -*- coding: utf-8 -*- """ This module contains functions for common path operations used by Maestral. """ # system imports import os import os.path as osp import shutil import itertools from typing import List, Optional, Tuple # local imports from .content_hasher import DropboxContentHasher def _path_components...
import pdb from typing import Tuple, Optional import numpy as np import optuna import torch from mujoco_py import load_model_from_xml, MjSim from scipy.optimize import minimize from torch import Tensor from dair_pll import state_space from dair_pll.integrator import StateIntegrator from dair_pll.system import System ...
<reponame>TheDemonLife/Lineage2Server-Interlude # Made by Mr. Have fun! Version 0.2 import sys from ru.catssoftware.gameserver.model.quest import State from ru.catssoftware.gameserver.model.quest import QuestState from ru.catssoftware.gameserver.model.quest.jython import QuestJython as JQuest qn = "219_TestimonyOfFate...
<filename>ibrnet/data_loaders/spaces_dataset.py # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required...
the initial floating species concentrations # #Example: vec = rrPython.getFloatingSpeciesInitialConcentrations() # #\return Returns a string containing the intial concentrations def getFloatingSpeciesInitialConcentrations(): values = rrLib.getFloatingSpeciesInitialConcentrations(gHandle) return rrVectorToPythonArray ...
return _snap.TIntIntVH_GetI(self, *args) def Gen(self, *args): """ Gen(TIntIntVH self, int const & ExpectVals) Parameters: ExpectVals: int const & """ return _snap.TIntIntVH_Gen(self, *args) def Clr(self, *args): """ Clr(TIntIntVH self, bool const & DoDel=True, int const & NoDelLim=-1, bool const & ResetD...
# -*- coding: utf-8 -*- from __future__ import unicode_literals import sys import re import time import traceback import logging import six import copy import hashlib from checkmate.helpers.issue import group_issues_by_fingerprint from checkmate.management.helpers import (filter_filenames_by_analyzers, filter_filena...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
import csv import math import os import sys from itertools import islice from os import path import numpy as np import tensorflow as tf from PIL import Image TRAINING_SHARDS = 60 VALIDATION_SHARDS = 30 TRAIN_DIRECTORY = 'train' VALIDATION_DIRECTORY = 'validation' # List of folders for training, validation and test. ...
]['FF'] = 26880 CR_AREA[4][4 ]['FF'] = 25920 CR_AREA[5][4 ]['FF'] = 26880 CR_AREA[4][5 ]['FF'] = 27840 CR_AREA[5][5 ]['FF'] = 28800 CR_AREA[4][6 ]['FF'] = 27840 CR_AREA[5][6 ]['FF'] = 28800 CR_AREA[4][7 ]['FF'] = 25920 CR_AREA[5][7 ]['FF'] = 26880 CR_AREA[4][8 ]['FF'] = 25920 CR_AREA[5][8 ]['FF'] = ...
<reponame>ermongroup/pirank<gh_stars>10-100 from sacred import Experiment from sacred.stflow import LogFileWriter from sacred.observers import SqlObserver, MongoObserver # Uncomment if using GPU # import setGPU from tfdeterminism import patch patch() import random import numpy as np import tensorflow as tf import tenso...
: href:task, "job_instance" : href:job_instance } } """ @blueprint.route("/root/<string:m_wf_id>/workflow/<string:wf_id>/job") def get_workflow_jobs(username, m_wf_id, wf_id): """ Returns a collection of Jobs. :query int start-index: Return results starting from record <start-index> (0 indexed) :query int max-...
KeyError: pass if self.isThreatNoneForEntireStorm: return statements if self._tr is not None: specialStatements = self._specialImpactsStatements() if self._tr in specialStatements.keys(): if self._tr in ["recovery", "hunker down"] and self.isThreatNoneForEntireStorm: return statements else: return specialSt...
from the future. For exmaple, for the scheme :math:`x_{t+1} - x_{t-1}`, at time :math:`t`, then the new assigned time value is `t+1`. See also :py:meth:`.TSCAccessor.time_derivative`. Parameters ---------- zeta A scalar between :math:`[0, 1)` that controls the angular influence . The weight from one point to a...
"custom": False, "facet": "CONDITION", "generatedByTerm": "Medullary thyroid carcinoma" }, { "priority": 0, "term": "Neoplasm of endocrine system", "suppress": False, "generatedBy": "CONDITION", "filterType": "include", "custom": False, "facet": "CONDITION", "generatedByTerm": "Medullary thyroid carcinoma" ...
phases.append(torch.cumsum(dphase, dim=-1)) # global spike phase self.phases = torch.stack(phases) # tr, n, time def geodesic(x, y): """ Returns the geodesic displacement between x and y, (x-y). """ xy = (x-y) % 1. xy[xy > 0.5] -= 1. return xy def sample_helper(self, h, b, neuron, scale, samples): """ ...
<filename>main.py<gh_stars>0 import yaml import pandas as pd import numpy as np import os import re from functools import cache from fuzzywuzzy import process, fuzz from time import sleep # Load config config = yaml.safe_load(open('config.yml')) VERBOSE = config['verbose'] # reading all the meta data in from url me...
= params.get("Content") self.IsPass = params.get("IsPass") self.IgnoreCount = params.get("IgnoreCount") self.RiskCount = params.get("RiskCount") self.LastCheckTime = params.get("LastCheckTime") self.AssetType = params.get("AssetType") self.ResCount = params.get("ResCount") self.UUID = params.get("UUID") self.St...
<filename>checker.py #! /usr/bin/env python3 import heapq from queue import Queue def buffer_push(buffer, min_size, packet): buffer.append(packet) return min(packet[0], min_size) def buffer_pop(buffer, min_size): # print(buffer) # print(min_size) stop_flag = False ans_packet = None for i in range(len(buffer...
Fence White":0xebe7db, "Pickford":0xc9f0d1, "Pickle":0x85a16a, "Pickle Juice":0xbba528, "Pickled":0xb3a74b, "Pickled Avocado":0x99bb11, "Pickled Bean":0x6e4826, "Pickled Beet":0x4d233d, "Pickled Beets":0xaa0044, "Pickled Bluewood":0x314459, "Pickled Cucumber":0x94a135, "Pickled Ginger":0xffdd55, "Pickled Grape Leaves":...
<filename>src/twisted/mail/test/test_pop3.py # Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. """ Test cases for Ltwisted.mail.pop3} module. """ from __future__ import print_function import hmac import base64 import itertools from collections import OrderedDict from io import BytesIO from zo...
size boundXl = px - glareSize if boundXl < 0: boundXl = 0 boundXu = px + glareSize if boundXu > cols - 1: boundXu = rows - 1 boundYl = py - glareSize if boundYl < 0: boundYl = 0 boundYu = py + glareSize if boundYu > rows - 1: boundYu = cols - 1 # judge if the sun is located on obstruction or open s...
Model, or set a different '_name'.") raise TypeError(msg % (cls, model_class._name)) @classmethod def _build_model_check_parent(model_class, cls, parent_class): """ Check whether ``model_class`` can inherit from ``parent_class``. """ if model_class._abstract and not parent_class._abstract: msg = ("In %s, the abs...
# Copyright (C) Dnspython Contributors, see LICENSE for text of ISC license # Copyright (C) 2003-2007, 2009-2011 Nominum, Inc. # # Permission to use, copy, modify, and distribute this software and its # documentation for any purpose with or without fee is hereby granted, # provided that the above copyright notice and ...
<filename>tests/unittests/core/test_pickleddb.py #!/usr/bin/env python # -*- coding: utf-8 -*- """Collection of tests for :mod:`orion.core.io.database.pickleddb`.""" import logging import os import random import uuid from datetime import datetime from multiprocessing import Pool import pytest from filelock import File...
<filename>crowdsource/views.py from main.customdecorators import check_honeypot_conditional from django.core.files.uploadedfile import InMemoryUploadedFile from django.http.response import HttpResponseRedirect, JsonResponse from rest_framework.decorators import action from api.models import ObjectType from django.core....
as auxiliary data and will be returned by the gradient function if `return_values=True`. All arguments for which the gradient is computed must be of dtype float or complex. wrt: Arguments of `f` with respect to which the gradient should be computed. Example: `wrt_indices=[0]` computes the gradient with respect to th...
is None: return self.copy() elif isinstance(other, (Query, QueryCompound)): return self.or_(other) else: out = self.copy() out.addMath(Query.Math.Or, other) return out def __sub__(self, value): """ Subtracts the value from this query. :param value | <variant> :return <Query> self """ out = self.copy(...
a[0], a[1]) for i, a in enumerate(guilds.values()))), # color=0x9326ff) # await ctx.send(embed=embed) @bot.command(description='上位10プレーヤーのランキングを表示する') async def brank(ctx): """上位10プレーヤーのランキングを表示する""" embed = Embed(description="`!!ranking`を使ってください") await ctx.send(embed=embed) return # playerlist = conn.execute(...
<filename>nanoblocks/account/account.py<gh_stars>1-10 import base64 import sys from io import BytesIO import pandas as pd import numpy as np import qrcode from nanoblocks import rcParams from nanoblocks.account.account_history import AccountHistory from nanoblocks.account.account_pending_history import AccountPending...
__all__ = ["Signal", "Audio", "Value", "Parameter", "signal", "control_method"] from functools import wraps import time from dataclasses import dataclass, fields from copy import copy import numpy as np # and IPython.display for audio output import IPython.display as ipd import matplotlib.pyplot as plt # Librosa f...
old properties if user was renamed userOldValue = getOldValue(self, services, user_properties["config"], user_properties["propertyName"]) if userOldValue is not None and userOldValue != user_name: putCoreSitePropertyAttribute("hadoop.proxyuser.{0}.hosts".format(userOldValue), 'delete', 'true') services["forced-conf...
# TS4 Python decompiler front-end # by Scumbumbo @ Mod The Sims # and Andrew @ Sims 4 Studio # # May be freely modified for personal use # # May be redistributed AS-IS or in modified form, providing: # - All comments and code authorship attributions remain unmodified except as required for clarity # - This redistributi...
<reponame>jellybean4/yosaipy2 """ 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 "Lice...
<reponame>thijstriemstra/w1thermsensor<filename>src/w1thermsensor/core.py """ w1thermsensor ~~~~~~~~~~~~~ A Python package and CLI tool to work with w1 temperature sensors. :copyright: (c) 2020 by <NAME> <<EMAIL>> :license: MIT, see LICENSE for more details. """ import subprocess import time from functools import lr...
Subst( Int( x ** (S(-1) + (m + S(1)) / n) * (a1 + b1 * x) ** p * (a2 + b2 * x) ** p, x, ), x, x ** n, ), x, ) def replacement763(a, b, c, m, n, p, x): return Dist( c ** IntPart(m) * x ** (-FracPart(m)) * (c * x) ** FracPart(m), Int(x ** m * (a + b * x ** n) ** p, x), x, ) def replacement764(a1, a2, b1...
self.tag_2.changesets.add(self.changeset) def test_detail_view_by_normal_user(self): self.client.login(username=self.user.username, password='password') response = self.client.get(reverse('changeset:detail', args=[self.changeset.id])) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data[...
#!/usr/bin/python3 # -*- coding: utf-8 -*- import os import unittest from GoogleScraper import scrape_with_config from GoogleScraper.parsing import get_parser_by_search_engine from GoogleScraper.config import get_config from collections import Counter config = get_config() base = os.path.dirname(os.path.realpath(__fi...
mutual_info_self, mutual_info_skl, ars_flow def MI_meta(self, colours, meta_clust): adj_mutual_info = np.zeros(len(colours)) mutual_info = np.zeros(len(colours)) adj_rand_score = np.zeros(len(colours)) norm_mi = np.zeros(len(colours)) for i in range(len(colours)): adj_mutual_info[i] = adjusted_mutu...
- len(placed) + partial if lowest_cnt == 0: continue larger = [p for p in placed if p > lowest] if larger: next_larger = min(larger) can_replicate = min(next_larger - lowest - 1, remaining_budget / lowest_cnt) else: can_replicate = remaining_budget / lowest_cnt if can_replicate > 0: if lowest + can_replicate...
<reponame>JustAPerson/ep_rename<gh_stars>0 #!/usr/bin/env python3 """ Copyright 2020 <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 ri...
""" Support functions for the RTL-SDR using pyrtlsdr Copyright (c) July 2017, <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 cop...
if norm:#正規化オプション a = self.normalize(a) b = self.normalize(b) dot = (a[0]*b[0])+(a[1]*b[1]) #print u'内積 :', dot return dot #ベクトルを正規化して戻す def normalize(self, a): length = self.get_length(a) return [a[0]/length, a[1]/length] #長さを出す def get_length(self, a): return math.sqrt(a[0]**2+a[1]**2) #入力を計算して返す de...
# -*- coding: utf-8 -*- # ------------------------------------------------------------------------------ # # Copyright 2021-2022 <NAME> # Copyright 2018-2019 Fetch.AI Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may ...
# Initialize Population pop = empty_individual.repeat(n_pop) for i in range(n_pop): pop[i].position = random.randrange(var_min, var_max) pop[i].cost = 1 # costfxn(pop[i].position, attr_keys, d_set) # if pop[i].cost < best_sol.cost: # best_sol = pop[i].deepcopy() # Best Solution Ever Found best_sol = empty_indi...
import datetime from django.conf import settings from django.core.exceptions import FieldError from django.db.backends.util import truncate_name from django.db.models.constants import LOOKUP_SEP from django.db.models.query_utils import select_related_descend, QueryWrapper from django.db.models.sql.constants import (SI...
<gh_stars>0 # Copyright (C) 2011-2018 ycmd contributors # # This file is part of ycmd. # # ycmd 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 3 of the License, or # (at your option) any later ...
there is four quarters of circle and signs for movement and solving expressions are different. So we use additional variables to control it. :param delta: finish position delta from the beginning, must be on circle on specified plane. Zero means full circle. :param radius: vector to center of circle. :param plane...
37, 10, 10, 1) self.cnn_layer_names = ['cnn_layer_{}'.format(i) for i in range(n_layer)] first_conv_in = self.col_size if self.cnn_channel_size_list is None: later_conv_in = self.cnn_channel_size conv_in = np.ones([n_layer + 1], dtype="int32") * later_conv_in conv_in[0] = first_conv_in # conv_in[1] = first_con...
from flask import request from flask_table import create_table,Table, Col, LinkCol, ButtonCol, DateCol from functools import partial from lightserv.main.utils import table_sorter from lightserv.main.tables import (DateTimeCol, DesignatedRoleCol, ConditionalRequestNameLinkCol,NACol) import os def dynamic_clearing_man...
############################################################################### # @todo add Pilot2-splash-app disclaimer ############################################################################### """ Get's KRAS states """ import MDAnalysis as mda from MDAnalysis.analysis import align from MDAnalysis.lib.mdamath ...
(IOError, zipfile.BadZipfile) as err: # TODO: Test this branch log.warning("Not a valid K3b project file. Moving: %s", path) files = {os.path.abspath(path): os.path.basename(path)} for src_path, dest_rel in sorted(files.items()): if args.mode == 'mv': dest_path = mounty_join(args.target, dest_rel) filesystem.mer...
#!/usr/bin/env python # coding=UTF-8 import os import sys import getpass import traceback from operators.op import op from globalConfig import globalConfig from db.controllers.ServidorController import ServidorController serverManager = None class ServerManager(): ''' # Base Server Manager Description :: -----...
If you enable private access, Kubernetes API requests from within your cluster's VPC use the private VPC endpoint. The default value for this parameter is false, which disables private access for your Kubernetes API server. If you disable private access and you have nodes or AWS Fargate pods in the cluster, then ensure...
<filename>cogs/botconfig.py import os import json import typing import aiohttp import discord from discord.ext import commands, menus from utilities import utils from utilities import checks from utilities import converters from utilities import decorators from utilities import pagination def setup(bot): bot.add_c...
failures due to non-blocking socket 'unavailable' errors if not is_unavailable_exception(e): # protocol error; provide additional information in test output self.fail("%s\n%s" % (e, getattr(e, "headers", ""))) def test_dotted_attribute(self): # Raises an AttributeError because private methods are not allowe...
# -*- coding: utf-8 -*- # PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN: # https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code from ccxt.base.exchange import Exchange import hashlib import math from ccxt.base.errors import ExchangeError from ccxt.base.errors import ...
roslibpy.actionlib.ActionClient(client,"isaacs_server/control_drone",'isaacs_server/ControlDroneAction') goal = roslibpy.actionlib.Goal(action_client, roslibpy.Message({'id': uid, "control_task":"start_mission"})) goal.on('feedback', lambda f: print(f['progress'])) goal.send() result = goal.wait(10) self.assertTru...
('fax_id' not in params) or (params['fax_id'] is None): raise ValueError("Missing the required parameter `fax_id` when calling `get_fax_file`") collection_formats = {} resource_path = '/faxes/{faxId}/file'.replace('{format}', 'json') path_params = {} if 'fax_id' in params: path_params['faxId'] = params['fax_id...
}, Optional('create_time'): str, Optional('last_status_change_time'): str, Optional('signaling_protocol'): { Any(): { 'mpls_vc_labels': { 'local': str, 'remote': str, }, 'group_id': { 'local': str, 'remote': str, }, 'mtu': { 'local': str, 'remote': str, }, Optional('mac_withdraw'): { 'sent': int, 're...
import tensorflow as tf import numpy as np from net.ops import random_bbox, bbox2mask, local_patch from net.ops import priority_loss_mask from net.ops import gan_wgan_loss, gradients_penalty, random_interpolates from net.ops import free_form_mask_tf from net.vgg import Vgg19 from util.util import f2uint from functools ...
<reponame>muminkoykiran/computervision-recipes # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. from time import time from typing import Any, Callable, List, Optional import fastai.basic_train from fastai.basic_train import _loss_func2activ, LearnerCallback from fastai.tor...
# -------------------------------------------------------------------------- # Source file provided under Apache License, Version 2.0, January 2004, # http://www.apache.org/licenses/ # (c) Copyright IBM Corp. 2016 # -------------------------------------------------------------------------- from six import iteritems f...
<reponame>awslabs/aws-serverless-financial-functions<gh_stars>10-100 import lambda_handlers as handlers REQUIRED_PROPERTY_ERR = "'{}' is a required property" INCORRECT_TYPE_ERR = "'{}' is not of type '{}'" def test_fv_handler(): # TODO test data types # rate, nper, pmt response = handlers.fv_handler({ "rate": 0.0...
def find_shortest_sub_array(nums: [int]) -> int: nums_dict = {num: 0 for num in nums} # dictionary hold the nums elements a keys and 0 a a value for num in nums: nums_dict[num] += 1 # update the value of each of the dictionary keys to the frequency of the numbers in num most_rep_num = max(nums_dict, key = nums_dict...
bpy.path.abspath( no.image.filepath, library=no.image.library) ) if outputs_empty or not no.image or not image_path_exists: users_images = [] for ob in bpy.data.objects: if ob.material_slots and ma.name in ob.material_slots: users_images.append("%s%s%s" % ( "[L] " if ob.library else "", "[F] " if ob.use_fa...
#!/usr/bin/env python # -*- coding: utf-8 -*- # --------------------------------------------------------------------------------------------- # Copyright (c) 2017-2018, <NAME> (<EMAIL>) # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following condi...
<gh_stars>1-10 # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. 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 #...
# File: ticTacToeTests.py # from chapter 18 of _Genetic Algorithms with Python_ # # Author: <NAME> <<EMAIL>> # Copyright (c) 2016 <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 copy of the License at # http...
<reponame>andreicnica/hrl_attention import torch import sys import gym from argparse import Namespace import numpy as np import glob import re import os import copy try: import gym_minigrid except ImportError: pass from models import get_model from agents import get_agent from utils import utils, get_wrappers, sav...
= concentrations[0][0].container.plate.layout res = None sample_concs = np.zeros_like(layout, dtype=float) for comp, r_conc, _ in concentrations: well = comp.container row = well.row - 1 col = well.column - 1 sample_concs[row][col] = r_conc res = QuantificationProcess._compute_pico_concentration( sample_con...
"lIndex3.rotateX" 2.13') mel.eval('setAttr "lIndex3.rotateY" -2.89') mel.eval('setAttr "lIndex3.rotateZ" 0.5') mel.eval('setAttr "rIndex3.rotateX" 2.13') mel.eval('setAttr "rIndex3.rotateY" 2.89') mel.eval('setAttr "rIndex3.rotateZ" -0.5') mel.eval('setAttr "lCarpal2.rotateX" 0.0') mel.eval('setAttr "lCarpal2....
acceptedEqnsUnraveled = np.zeros( [N,N] ) acceptedEqnsUnraveled[unravelIndices[0], unravelIndices[1]] = acceptedEqns acceptedEqnsUnraveled = np.pad( acceptedEqnsUnraveled, ((0,1),(1,0)), mode=constantPad ) # Ok so how big is relativeEst? Can we add in zeros? # Or maybe I should just give weights as weights*a...
``p_TimedMetadataId3Frame``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-medialive-channel-udpgroupsettings.html#cfn-medialive-channel-udpgroupsettings-timedmetadataid3frame - ``p_TimedMetadataId3Period``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-med...
# -*- coding: utf-8 -*- import datetime import json from freezegun import freeze_time from mantarray_desktop_app import COMPILED_EXE_BUILD_TIMESTAMP from mantarray_desktop_app import create_magnetometer_config_dict from mantarray_desktop_app import CURRENT_SOFTWARE_VERSION from mantarray_desktop_app import MICRO_TO_BA...
<gh_stars>100-1000 # coding=utf-8 # Copyright (c) 2020 Alibaba PAI team. # # 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 ...
from __future__ import print_function from __future__ import absolute_import from __future__ import division from math import fabs from math import sqrt from compas.utilities import pairwise from compas.geometry._core import add_vectors from compas.geometry._core import add_vectors_xy from compas.geometry._core impo...
<gh_stars>0 """ Copyright 2019 <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 copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, softwar...
<reponame>RyanEGuerra/FARAD_Tutorial # -*- coding: utf-8 -*- """ ------------------------------------------------------------------------------ WARPNet Utilities ------------------------------------------------------------------------------ Authors: <NAME> (chunter [at] mangocomm.com) <NAME> (murphpo [at] mangocomm.co...
# coding: utf-8 # Copyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved. ''' # These tests should now work collectively, this way: # export CLI_TESTS_ADMIN_PASS_PHRASE="XXXXXXXX" # pytest -s --enable-long-running --vcr-record-mode=none tests/test_database.py # Or individually: # pytest -s --enab...
#!/usr/bin/env python #coding: utf-8 """ This module simply sends request to the Digital Ocean API, and returns their response as a dict. """ import requests import json as json_module from six import wraps API_ENDPOINT = 'https://api.digitalocean.com' class DoError(RuntimeError): pass def paginated(func): @wrap...
<filename>pythonProject1/venv/Lib/site-packages/jsonmodel/validators.py ''' a package of data validation classes ''' __author__ = 'rcj1492' __created__ = '2015.11' __license__ = 'MIT' import re import sys import json from base64 import b64decode from jsonmodel.exceptions import InputValidationError, ModelValidationErr...
<reponame>sanglee/XAI-threshold-calibration import torch.nn as nn import torch.utils.model_zoo as model_zoo from .layers import * import torch __all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152'] model_urls = { 'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth', ...
9894.1621], [115.7186, 416.6787, 735.6442, 269.8496, 0.0000, 1877.3934, 0.0000, 6179.7742, 0.0000, 20067.9370], [1073.8232, 416.6787, 735.6442, 269.8496, 0.0000, 1877.3934, 0.0000, 0.0000, 0.0000, 21133.5080], [1073.8232, 416.6787, 735.6442, 269.8496, 0.0000, 1877.3934, 0.0000, 0.0000, 0.0000, 20988.8485], [1073.82...
<gh_stars>1000+ # -*- coding: utf-8 -*- # Copyright © 2017 Apple Inc. All rights reserved. # # Use of this source code is governed by a BSD-3-clause license that can # be found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause from __future__ import print_function as _ from __future__ import di...
for semantic_type, column_list in self.semantic_types_dict.items(): for column_name in column_list: processed_column = self.column_info.get(column_name) if semantic_type == "datetime": assert processed_column.get("type") in ("DATETIME", "STRING",), ( f"Column {column_name} must be a datetime column or a string but...
self.pool.imap( recon.scout, hosts): if status == 200: scan[url] = response['drive_audit_errors'] stats = self._gen_stats(scan.values(), 'drive_audit_errors') if stats['reported'] > 0: self._print_stats(stats) else: print("[drive_audit_errors] - No hosts returned valid data.") print("=" * 79) def umount_chec...
data frames will have full time range, even if data is missing :return: d - dict with one dataframe per area """ conn = sqlite3.connect(self.db) # print(sqlite3.version) c = conn.cursor() # %% Select day ahead data from tables # time_format = 'CET' # starttime = '20161201:00' # endtime = '20180112:00' # cate...
_write_det2im(self, hdulist): """ Writes a Paper IV type lookup table to the given `astropy.io.fits.HDUList`. """ if self.det2im1 is None and self.det2im2 is None: return dist = 'D2IMDIS' d_kw = 'D2IM' err_kw = 'D2IMERR' def write_d2i(num, det2im): if det2im is None: return str('{0}{1:d}').format(dist, n...
Parameters ---------- image: A np.array image to be padded size of (target_width, target_height) offset_height: Number of rows of padding_values to add on top. offset_width: Number of columns of padding_values to add on the left. target_height: Height of output image. target_width: Width of output image. pa...
<reponame>Gaming32/Pyweek32Sandbox<filename>and_beyond/server/client.py import asyncio import logging import math import time from asyncio import StreamReader, StreamWriter from asyncio.events import AbstractEventLoop from asyncio.tasks import Task, shield from collections import deque from typing import TYPE_CHECKING,...
one will return a non-None argument instead. This is basically the same as treating None as greater than any other value. """ if a is None: return b elif b is None: return a else: return min(a, b) def _sorted_attributes(features, attrs, attribute): """ When the list of attributes is a dictionary, use the ...