input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
= plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.set_aspect('equal')
# save a list of min. and max. X, Y, Z coordinates
x_min, y_min, z_min = [1e10] * 3
x_max, y_max, z_max = [0] * 3
# plot the surface:
for (surf3d_idx, s) in enumerate(self.models[model_type].surface_3d):
verts = s['verts']
centr... | |
<reponame>joakimzhang/python-electron<gh_stars>0
#!/usr/bin/env python
'''
map display module
<NAME>
June 2012
'''
import sys, os, math
import functools
import time
from MAVProxy.modules.mavproxy_map import mp_elevation
from MAVProxy.modules.lib import mp_util
from MAVProxy.modules.lib import mp_settings
from MAVProxy... | |
path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='https://rmt.verizon.com/bnc-filtered-alarms', defining_module='bnc-filtered-alarms', yang_type='string', is_config=True)""",
})
self.__partition = t
if hasattr(self, '_set'):
self._set()
def _unset_partition(self):
self.... | |
handshake returns True if it succeeded
if not (await self.handshake()):
return
try:
await self.handler(self)
except BaseException as err:
await self.loop.render_exc_async(
err,
before=[
'Unhandled exception occurred at',
self.__class__.__name__,
'.lifetime_handler meanwhile running: ',
repr(self.handler),
... | |
from typing import Optional, List, NoReturn
import copy
from easydict import EasyDict
from ding.utils import find_free_port, find_free_port_slurm, node_to_partition, node_to_host, pretty_print, \
DEFAULT_K8S_COLLECTOR_PORT, DEFAULT_K8S_LEARNER_PORT, DEFAULT_K8S_COORDINATOR_PORT
from dizoo.classic_control.cartpole.con... | |
self.distance_all_pairs()
for u in self:
for v in self:
if d[u].get(v, Infinity) in distances:
D.add_edge(u, v)
return D
def girth(self, certificate=False):
"""
Return the girth of the graph.
The girth is the length of the shortest cycle in the graph
(directed cycle if the graph is directed). Graphs without... | |
<filename>ExtinctionRecallTask/ExtinctionRecallAndVasTask.py
#!/usr/bin/env python2
"""
ExtinctioRecallAndVasTask.py
Display images from a specified folder and present them to the subject, rating the images on given scales.
Also have rest and "dummy" runs and present mood ratings to the subject in between.
Created 8/2... | |
],
'Cisco-IOS-XR-clns-isis-cfg',
'mpls-ldp-global',
_yang_ns._namespaces['Cisco-IOS-XR-clns-isis-cfg'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_clns_isis_cfg'
),
},
'Isis.Instances.Instance.Afs.Af.TopologyName.Mpls.RouterId' : {
'meta_info' : _MetaInfoClass('Isis.Instances.Instance.Afs.Af.TopologyName.Mpls.Router... | |
fdmnulllist=[]
for i in range(numperm):
allflowvec=flowveclist1copy+flowveclist2copy
flowgrp=common.randgroup(allflowvec,2)
for flow in flowgrp[0]:
if sum(flow)<0.96:
flow[0]=0.95
flow[-1]=0.0
for flow in flowgrp[1]:
if sum(flow)<0.96:
flow[0]=0.0
flow[-1]=0.95
flowgrp1=self._flowveclist2flowvec(flowgrp[... | |
import cv2
from PIL import Image
import numpy as np
from skimage import measure
from PIL.ExifTags import TAGS, GPSTAGS
def close_contour(contour):
if not np.array_equal(contour[0], contour[-1]):
contour = np.vstack((contour, contour[0]))
return contour
def binary_mask_to_polygon(binary_mask, tolerance=2):
"""Conv... | |
perna, parte não especificada'),
('S82.0', 'Fratura da rótula [patela]'),
('S82.1', 'Fratura da extremidade proximal da tíbia'),
('S82.2', 'Fratura da diáfise da tíbia'),
('S82.3', 'Fratura da extremidade distal da tíbia'),
('S82.4', 'Fratura do perônio [fíbula]'),
('S82.5', 'Fratura do maléolo medial'),
('S82.6... | |
Returns the value of the `qoss` property.
"""
return self._qoss
@qoss.setter
def qoss(self, value):
"""
Sets the value of the `qoss` property.
"""
self._qoss = value
@property
def mac_pool(self):
"""
Returns the value of the `mac_pool` property.
"""
return self._mac_pool
@mac_pool.setter
def mac_pool... | |
'https://i.imgur.com/s5AExEM.jpg'],
['繪師: カツラギ-pixiv', 'https://i.imgur.com/3NOjwK5.jpg'],
['繪師: ぴてぃ-pixiv', 'https://i.imgur.com/4TWI8Ht.jpg'],
['繪師: HIROKAZU-pixiv', 'https://i.imgur.com/jPLoOYo.jpg'],
]
line_bot_api.reply_message(event.reply_token,[TextSendMessage(text= value_i[i% len(value_i)][0]),ImageMessage... | |
from typing import overload
from UdonPie import System
from UdonPie import UnityEngine
from UdonPie.Undefined import *
class ConfigurableJoint:
def __new__(cls, arg1=None):
'''
:returns: ConfigurableJoint
:rtype: UnityEngine.ConfigurableJoint
'''
pass
@staticmethod
def op_Implicit(arg1):
'''
:param arg1: ... | |
<filename>gamemaker.py<gh_stars>0
from Interface.models import HuntUser, Landmark, Penalty, Game
from django.utils import timezone
from datetime import datetime
class GameMaker:
def __init__(self):
pass
def add_landmark(self, input):
# input: List of length 4
if len(input) != 4:
return "Invalid input!"
name =... | |
# -*- coding: utf-8 -*-
#============================================================
#
# Deep Learning BLW Filtering
# Main
#
# author: <NAME>
# email: <EMAIL>
# github id: fperdigon
#
#===========================================================
import _pickle as pickle
from datetime import datetime
import time
impo... | |
# Standard library imports
import os
import warnings
# Third party imports
import numpy as np
import astropy.units as u
from astropy.io import fits
from astropy import constants
from galpy.orbit import Orbit
from galpy.util.bovy_conversion import time_in_Gyr
from scipy.integrate import solve_ivp
from scipy.interpolate... | |
meta data
self._backup_remote_meta_info()
# Backup `virsh dumpxml` output
self._backup_remote_xml()
# Backup logical volume snapshot to disk image file using `dd`
self._backup_remote_lv()
def _backup_remote_directory(self):
'''
Verify the remote directory exists. If not, attempt to create it.
'''
command =... | |
a standard bit of pyparsing, and an Or.
print("\nUse ignore expression (2)")
comment = ";;" + restOfLine
teststring = """
(let ((greeting "Hello, )world!")) ;;(foo bar
(display greeting))
"""
expected = [
[
"let",
[["greeting", '"Hello, )world!"']],
";;",
"(foo bar",
["display", "greeting"],
]
]
expr ... | |
"""Various VR utilities."""
import queue
import threading
import time
from asyncio.streams import StreamReader
from typing import Sequence, Dict
import struct
import numpy as np
import serial.threaded
from pykalman import KalmanFilter
from copy import copy
try:
import cv2
from displayarray import read_updates
fro... | |
import argparse
from collections import defaultdict
from itertools import izip
import numpy as np
import os
import pandas as pd
from scipy.interpolate import interp1d
from scipy.stats import linregress, spearmanr
from base.io_util import write_json
# from builds.flu.scores import select_nodes_in_season
from frequencie... | |
db_dx
J[('boundary_constraint','turbineY')] = db_dy
return J
class SpacingComp(Component):
"""
Calculates inter-turbine spacing for all turbine pairs
"""
def __init__(self, nTurbines):
super(SpacingComp, self).__init__()
# set finite difference options (fd used for testing only)
self.deriv_options['check_... | |
def test_sync_child_tickets(self):
"""
Test to ensure that a ticket will sync related objects,
in its case schedule, note, and time entries
"""
fixture_utils.init_schedule_entries()
fixture_utils.init_service_notes()
synchronizer = self.sync_class()
ticket = models.Ticket.objects.get(id=self.ticket_fixture['id... | |
from os import path
import glob
from updater import get_updater
from filter import get_filter
from cache import get_cache
from merge import (FileHunk, MemoryHunk, apply_filters, merge,
make_url, merge_filters)
__all__ = ('Bundle', 'BundleError',)
class BundleError(Exception):
pass
class BuildError(BundleError):... | |
# -*- Mode: python; tab-width: 4; indent-tabs-mode:nil; coding:utf-8 -*-
# vim: tabstop=4 expandtab shiftwidth=4 softtabstop=4
#
# MDAnalysis --- https://www.mdanalysis.org
# Copyright (c) 2006-2017 The MDAnalysis Development Team and contributors
# (see the file AUTHORS for the full list of names)
#
# Released under t... | |
"""
All the data sources are scattered around the D drive, this script
organizes it and consolidates it into the "Data" subfolder in the
"Chapter 2 Dune Aspect Ratio" folder.
<NAME>, 5/6/2020
"""
import shutil as sh
import pandas as pd
import numpy as np
import os
# Set the data directory to save files ... | |
<reponame>victoriarspada/woudc-data-registry
# =================================================================
#
# Terms and Conditions of Use
#
# Unless otherwise noted, computer program source code of this
# distribution is covered under Crown Copyright, Government of
# Canada, and is distributed under the MIT Lice... | |
example. So, even though `_Subterm` (the analogue of one of my
# tuples of CategoricalCodings) is set based, it's possible that this is
# used to recover the original order.
# TODO: Would it be clearer or more efficient to use OrderedSet rather
# than tuple here? I'm not sure.
def absorb(t1, t2):
assert type(t1) == ... | |
[ basestring, 'None' ], False ],
'max_transfer_rate': [ max_transfer_rate, 'max-transfer-rate', [ int, 'None' ], False ],
'clean_up_failure': [ clean_up_failure, 'clean-up-failure', [ bool, 'None' ], False ],
'destination_cluster': [ destination_cluster, 'destination-cluster', [ basestring, 'None' ], False ],
}, {
... | |
and os is None):
return 0, 1
elif (ss is None and os is not None):
return 1, 0
s0, s1, o0, o1 = s[0], s[1], o[0], o[1]
s1d, o1d = s1.isdigit(), o1.isdigit()
if 'H' == s0 == o0:
if (s1 == o1) or (s1d and o1d):
return s, o
elif s1d:
return 0, 1
elif o1d:
return 1, 0
else:
return (self._greek_sort_keys[s1],
... | |
<reponame>LanceaKing/kaldi<filename>egs/wsj/s5/steps/nnet3/dot/nnet3_to_dot.py
#!/usr/bin/env python
# Copyright 2015 Johns Hopkins University (Author: <NAME>)
# Apache 2.0
# script to convert nnet3-am-info output to a dot graph
# we're using python 3.x style print but want it to work in python 2.x,
from __future__... | |
/ 5, (1 - 0) / 1]
},
{
'x_scaled': [-1., .2,
float('nan'),
float('nan')] # [(-1 - 0) / 1, (4 - 3) / 5]
}
]
expected_metadata = tft_unit.metadata_from_feature_spec(
{'x_scaled': tf.io.FixedLenFeature([4], tf.float32)})
self.assertAnalyzeAndTransformResults(input_data, input_metadata,
preprocessing_fn, expecte... | |
<filename>funcs2run_bat_tools.py
import os
import subprocess
import sys
sys.path.append('/storage/work/jjd330/local/bat_data/BatML/HeasoftTools')
from gen_tools import run_ftool
from bat_tool_funcs import ev2dpi, mk_pc_img, mk_sky_img, run_batcelldetect
import time
import numpy as np
import multiprocessing as mp
import... | |
# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | |
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0513108,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 2.10198,
'... | |
a request is made to return ``maxResults`` number of items, ``NextToken`` allows you to return more items in your list starting at the location pointed to by the next token.
:type NextToken: string
:param NextToken:
The next item following a partial list of returned items. For example, if a request is made to return... | |
return [True, None]
def get_views_list(self):
res = requests.get(self.url + '/api/defaultDashboards', headers=self.hdrs,
verify=self.ssl_verify)
if not self._checkResponse(res):
return [False, self.lasterr]
return [True, res.json()]
def get_view(self, name):
gvres = self.get_views_list()
if gvres[0] is False... | |
[1] Nucci et al., The problem of synthetically generating IP traffic
matrices: initial recommendations, ACM SIGCOMM Computer Communication
Review, 35(3), 2005
"""
try:
mean = float(mean)
stddev = float(stddev)
except ValueError:
raise ValueError('mean and stddev must be of type float')
if mean < 0 or stddev < ... | |
#!/usr/bin/env python
# encoding: utf-8
"""
turbine.py
Created by <NAME> and <NAME> on 2014-01-13.
Copyright (c) NREL. All rights reserved.
"""
from openmdao.main.api import Assembly, Component
from openmdao.main.datatypes.api import Float, Array, Enum, Bool, Int
from openmdao.lib.drivers.api import FixedPointIterato... | |
<filename>archive/pose_graph.py
#!/usr/bin/env python
"""
Data Collection Module for recording data streamed from a phone to construct a pose graph of phone and landmarks positions
at multiple time steps.
by <NAME>, 2018
Last Modified August, 2018
This script will:
- Communicate with Frames class defined in frames.... | |
"""Utilities to support packages."""
z functools zaimportuj singledispatch jako simplegeneric
zaimportuj importlib
zaimportuj importlib.util
zaimportuj importlib.machinery
zaimportuj os
zaimportuj os.path
zaimportuj sys
z types zaimportuj ModuleType
zaimportuj warnings
__all__ = [
'get_importer', 'iter_importers', '... | |
object_bounding_boxes, placements
):
break
placement_trial_count += 1
if placement_trial_count > max_placement_trial_count_per_object:
return np.zeros((n_objects, len(placement))), False
placements.append(placement)
return np.array(placements), True
def place_objects_in_grid(
object_bounding_boxes: np.nda... | |
#
# Blue Haze
# 19 Oct 2020
#
# <NAME> - <EMAIL>
# <NAME> - <EMAIL>
#
# todo: stop / terminate the hardware when the app closes
from PySide2.QtMultimedia import *
from PySide2.QtMultimediaWidgets import QCameraViewfinder
from PySide2.QtGui import QFont
from PySide2.QtCore import Qt, QDir
from glob import glob
from re... | |
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 21 17:49:21 2013
@author: <NAME>
Minor edits by <NAME>
"""
import numpy as np
from matplotlib import pyplot as plt
#from mpl_toolkits.mplot3d import Axes3D
#import mpl_toolkits.mplot3d.art3d as art3d
from matplotlib.patches import Ellipse
from matplotlib i... | |
<reponame>opcode-eu-org/opcode-blog
# -*- coding: utf-8 -*-
# Copyright (c) 2012-2018 <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 limitati... | |
import os
import yaml
import jsonschema
import numpy as np
import math
import json
import copy
import time as ttime
from .xrf_utils import split_compound_mass, generate_eline_list
from .utils import normalize_data_by_scaler, convert_time_to_nexus_string
import logging
logger = logging.getLogger()
# ===================... | |
# flake8: noqa I201
from Child import Child
from Node import Node
DECL_NODES = [
# type-assignment -> '=' type
Node('TypeInitializerClause', kind='Syntax',
children=[
Child('Equal', kind='EqualToken'),
Child('Value', kind='Type'),
]),
# typealias-declaration -> attributes? access-level-modifier? 'typealias'
... | |
region_l = 0.0
region_r = 1.0
u_true, f, A_eps, u_left, u_right = MS_LaplaceEqs.get_infos2pLaplace_1D_2(
in_dim=input_dim, out_dim=out_dim, intervalL=region_l, intervalR=region_r, index2p=p_index, eps1=epsilon1,
eps2=epsilon2)
elif R['PDE_type'] == 'Possion_Boltzmann':
# 求解如下方程, A_eps(x) 震荡的比较厉害，具有多个尺度
# ... | |
"""
Tests for the algorithms.spectral submodule
"""
import numpy as np
import scipy
from scipy import fftpack
import numpy.testing as npt
import numpy.testing.decorators as dec
import nose.tools as nt
import nitime.algorithms as tsa
import nitime.utils as utils
def test_get_spectra():
"""
Testing spectral estim... | |
This is retrieved
from one of following three URLs (which are stored in nussl.constants):
NUSSL_EFZ_AUDIO_METADATA_URL, NUSSL_EFZ_BENCHMARK_METADATA_URL, or NUSSL_EFZ_MODEL_METADATA_URL.
Args:
url (str): URL for the EFZ server that has metadata. One of these three:
NUSSL_EFZ_AUDIO_METADATA_URL, NUSSL_EFZ_BENCHMAR... | |
<gh_stars>0
from http import HTTPStatus
from unittest.mock import MagicMock
import jwt
from pytest import fixture
from app import app
from api.errors import INVALID_ARGUMENT
from tests.unit.payloads_for_tests import PRIVATE_KEY
@fixture(scope='session')
def client():
app.rsa_private_key = PRIVATE_KEY
app.testing... | |
'SAME' or 'VALID'
data_format : string
An optional string from "NWC", "NCW". Defaults to "NWC", the data is stored in the order of
[batch, in_width, in_channels]. The "NCW" format stores data as [batch, in_channels, in_width].
dilations : int or list
An int or list of ints that has length 1 or 3 which defaults to ... | |
<reponame>domenic/test262
#!/usr/bin/python
# Copyright 2009 the Sputnik authors. All rights reserved.
# This code is governed by the BSD license found in the LICENSE file.
import logging
import optparse
import os
from os import path
import platform
import re
import subprocess
import sys
import tempfile
import time
... | |
<reponame>derezin/DPPy
# coding: utf8
""" Implementation of finite DPP exact samplers derived from:
- the raw **projection** correlation :math:`K` kernel (no need for eigendecomposition)
- the eigendecomposition of the correlation :math:`K` kernel
.. seealso:
`Documentation on ReadTheDocs <https://dppy.readthedocs.... | |
except ValueError:
showwarning("An unknown error occured")
return 0
def apply(self):
# Build list of tiles in this group
tile_out = []
tile_list = list(App.tile_ids.items())
del tile_list[0]
for i in self.tile_value_list:
t_id = tile_list[i.get()][0]
# If the current value was not previously (here defaulti... | |
#!python3
import os
import sys
import struct
import argparse
import yaml
import asyncio
import traceback
from signal import SIGINT, SIGTERM
from bleak import BleakClient, BleakError, BleakScanner
import atexit
import pickle
from pickle import UnpicklingError
from aiohttp import web
import ssl
import json
import logging... | |
from cuda.upfirdn_2d import *
from cuda.fused_bias_act import fused_bias_act
##################################################################################
# Layers
##################################################################################
class Conv2D(tf.keras.layers.Layer):
def __init__(self, fmaps, ke... | |
<reponame>etjoa003/gpt
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
import os, time, PIL
import numpy as np
import matplotlib.pyplot as plt
from . import utils
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
def entry(args):
print('pipeline.entry() mode... | |
# Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import annotations
import enum
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, Callable, List, Tuple
if TYPE_CHECKING:
from minihack import MiniHack
from nle.nethack import Command, CompassDirection
Y_cmd = CompassDirecti... | |
from django import template
from django.utils.safestring import mark_safe
from django.contrib.staticfiles.templatetags.staticfiles import static
from django.conf import settings
register = template.Library()
# read setting file
try:
import_by_developer = not bool(settings.C3_IMPORT)
except AttributeError:
import_by... | |
I11i % II111iiii % O0 . i1IIi / I1Ii111
if 100 - 100: I1ii11iIi11i * i11iIiiIii % oO0o / Oo0Ooo / ooOoO0o + I1ii11iIi11i
if 59 - 59: I1Ii111 - IiII
if 14 - 14: iIii1I11I1II1 - iIii1I11I1II1
if 5 - 5: IiII
if ( os . path . exists ( "lisp.py" ) and os . path . exists ( "lisp.pyo" ) == False ) :
lisp . lprint ( "In ... | |
from numpy import zeros
from numpy.linalg import eigvals
import time
import numpy as np
import scipy as sp
import scipy.signal as signal
import scipy.sparse as sparse
import osqp
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from .controller import Controller
from ..learning.edmd import Edmd
class MP... | |
import filecmp
import os
import base64
import copy
import logging
import time
import jinja2
import pykube
import docker
import requests
from toscaparser.tosca_template import ToscaTemplate
from submitter.abstracts import base_adaptor as abco
from submitter.abstracts.exceptions import AdaptorCritical
from submitter im... | |
@property
def back_side_beamdiffuse_visible_solar_reflectance(self):
"""field `Back Side Beam-Diffuse Visible Solar Reflectance`
| Used only when Optical Data Type = SpectralAverage
| Back Side is side closest to zone air
| Units: dimensionless
| value <= 1.0
Args:
value (float): value for IDD Field `Back Sid... | |
:param val_c_UnitID: If op_UnitID is specified, this value will be compared to the value in UnitID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_UnitID must be specified if op_UnitID is specified.
:type val_c_UnitID: String
| ``api ver... | |
<gh_stars>0
#---Graph plotting script is written inline in data processing function
#——Author: <NAME>
import re, calendar, csv, datetime #re is for regex
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches #for matching colour of legend and dict... | |
return True
return False
class Text(Control):
"""Display some text in the UI."""
def __init__(self, value, **kwargs):
super().__init__(**kwargs)
self.value = value
self.can_focus = False
@property
def text(self):
return self.value
def render(self, app):
return Display(self.value, fg=self.fg, bg=self.bg)... | |
# -*- coding: utf-8 -*-
"""
This enables to parameterize the contributivity measurements to be performed.
"""
from __future__ import print_function
import bisect
import datetime
from itertools import combinations
from math import factorial
from timeit import default_timer as timer
import numpy as np
from loguru impo... | |
interaction",
u"detector: fabrication",
u"gravitation: spinor",
u"vector meson: decay modes",
u"velocity: expansion",
u"pi: density",
u"gauge field theory: higher-dimensional",
u"p p",
u"chargino: exchange",
u"B-: rare decay",
u"nonpolynomial",
u"n nucleus: elastic scattering",
u"space-time: complex",
u"Gr... | |
means sigma
h = torch.mul(o, torch.tanh(c)) + torch.mul(o_c, torch.tanh(self.W_c_b(sememe_h)))
return (c, h)
def forward(self, sent, sent_len, sememe_data):
# hx: (child_c, child_h)
sememe_h = self.sememe_sum(sememe_data)
sent_len_sorted, idx_sort = np.sort(sent_len)[::-1], np.argsort(-sent_len)
sent_len_sorted... | |
obj['canFillWithLiquid'] and not obj['isFilledWithLiquid']:
empty_objects.add(obj['objectId'])
empty_object_types.add(obj['objectType'])
#
# for ot in empty_object_types:
# env.controller.step(action='SetObjectStates', SetObjectStates={
# 'objectType': ot,
# 'stateChange': 'canFillWithLiquid',
# 'isFilledWithLi... | |
# general libraries
import warnings
import numpy as np
# image processing libraries
from scipy import ndimage
from skimage.transform import radon
from skimage.measure.fit import _dynamic_max_trials
from ..generic.test_tools import \
construct_phase_plane, cross_spectrum_to_coordinate_list
from ..generic.data_tools i... | |
field is not
specified, it is assumed to be PREMIUM.
Possible values are `PREMIUM` and `STANDARD`.
:param pulumi.Input[str] port_range: This field is used along with the target field for TargetHttpProxy,
TargetHttpsProxy, TargetSslProxy, TargetTcpProxy, TargetVpnGateway,
TargetPool, TargetInstance.
Applicable onl... | |
!= set(self.get_permissions(user)):
self.set_permissions(user, permissions, save=False)
permissions_changed[user._id] = permissions
self.set_visible(user, user_dict['visible'], auth=auth)
users.append(user)
user_ids.append(user_dict['id'])
for user in self.contributors:
if user._id in user_ids:
to_retain.appen... | |
<reponame>tvorogme/dataops
#!/usr/bin/env ambari-python-wrap
"""
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 ... | |
<reponame>thirtywang/OpenPNM<filename>OpenPNM/Network/__DelaunayVoronoiDual__.py
"""
===============================================================================
DelaunayVoronoiDual: Generate a random network with complementary Delaunay and
Voronoi networks, including connectings between them
=======================... | |
datetime.strptime(data['1_day_back'], pattern)
assert delta < timedelta(days=3)
delta = datetime.strptime(data['1_day_forward'], pattern) - utcnow
assert delta > timedelta(seconds=82800)
delta = utcnow - datetime.strptime(data['1_hour_back'], pattern)
assert delta < timedelta(seconds=3700)
delta = datetime.strpti... | |
<filename>open_cp/gui/predictors/stscan.py
"""
stscan
~~~~~~
Uses the "space/time scan statistic" method of prediction.
Things we can vary:
- How far back in time to look
- The bandwidth/cutoff rules for clusters
- Quantise space and/or time?
- Expand clusters to their maximum size?
Pending further work, we shal... | |
import ctypes
import numpy
import sys
import os
import os.path
from numpy.compat import asbytes, asstr
def _generate_candidate_libs():
# look for likely library files in the following dirs:
lib_dirs = [os.path.dirname(__file__),
'/lib',
'/usr/lib',
'/usr/local/lib',
'/opt/local/lib',
os.path.join(sys.prefix, '... | |
name="MLST",
dtype=ChannelType.LONG,
doc="Last Val Monitored",
read_only=True,
)
prev_simulation_mode = pvproperty(
name="OLDSIMM",
dtype=ChannelType.ENUM,
enum_strings=menus.menuSimm.get_string_tuple(),
doc="Prev. Simulation Mode",
read_only=True,
)
output_mode_select = pvproperty(
name="OMSL",
dtype=Cha... | |
<reponame>brucepro/micropsi2
__author__ = 'rvuine'
import json
import os
import warnings
from micropsi_core.nodenet import monitor
from micropsi_core.nodenet.node import Nodetype
from micropsi_core.nodenet.nodenet import Nodenet, NODENET_VERSION, NodenetLockException
from .dict_stepoperators import DictPropagate, Dic... | |
hbox_main.addLayout(vbox_apps)
# Vertical separation line
vertical_sep_01 = QtWidgets.QLabel('', window)
vertical_sep_01.setFrameStyle(QtWidgets.QFrame.VLine | QtWidgets.QFrame.Plain)
vertical_sep_01.setStyleSheet('QFrame {color: #444444}')
hbox_main.addWidget(vertical_sep_01)
paneTabs.setLayout(hbox_main)
pa... | |
"shr": "Shi",
"shs": "Shuswap",
"sht": "Shasta",
"shu": "Chadian Arabic",
"shv": "Shehri",
"shw": "Shwai",
"shx": "She",
"shy": "Tachawit",
"shz": "<NAME>",
"si": "Sinhalese",
"si-med": "<NAME>",
"sia": "<NAME>",
"sib": "Sebop",
"sid": "Sidamo",
"sie": "Simaa",
"sif": "Siamou",
"sig": "Paasaal",
"sih":... | |
from pathlib import Path
from typing import IO, TYPE_CHECKING, Dict, Set, Tuple, Union
import ele
import numpy as np
from openff.units import unit
from openff.interchange.components.mdtraj import (
_iterate_angles,
_iterate_impropers,
_iterate_pairs,
_iterate_propers,
_store_bond_partners,
)
from openff.intercha... | |
from __future__ import print_function
import copy
from math import *
from instruction_list import *
from parse_code import *
from values import get_storage_value,get_params,set_params,print_params,is_params
from values import create_configuration,add_configuration,configuration_exist,seen_configuration,print_configurat... | |
def type(self) -> str:
return pulumi.get(self, "type")
@property
@pulumi.getter
def value(self) -> int:
return pulumi.get(self, "value")
@pulumi.output_type
class EndpointConfigAsyncInferenceClientConfig(dict):
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "maxConcurrentInvocationsPerI... | |
# Document.name => Document
self._df = {} # Cache of document frequency per word.
self._similarity = {} # Cache of ((D1.id,D2.id), weight)-items (cosine similarity).
self._divergence = {} # Cache of Kullback-leibler divergence per (word1, word2).
self._ig = {} # Cache of (word, information gain)-items.
self._vecto... | |
invalid caracter for the
host. ie maya didnt support object name starting with number, and automatically rename the object.
In order to retrieve the object use this functon. If a invalid
caracter is found, the caracter is removed.
This function can be change in the features, as it currently only look for number.... | |
<gh_stars>10-100
del_items(0x80138AF4)
SetType(0x80138AF4, "void GameOnlyTestRoutine__Fv()")
del_items(0x80138AFC)
SetType(0x80138AFC, "int vecleny__Fii(int a, int b)")
del_items(0x80138B20)
SetType(0x80138B20, "int veclenx__Fii(int a, int b)")
del_items(0x80138B4C)
SetType(0x80138B4C, "void GetDamageAmt__FiPiT1(int i,... | |
== None for a in newdata]):
print("No graphing data")
else:
if None in newdata:
print("Warning: Some data to be graphed was nil; ignoring")
newdata.remove(None)
graph = chooseGraph(graph)
graph.data.extend(regularizeData(newdata, color))
graph.data = FillInColors(graph.data)
computeLimitsFromData(graph)
graph... | |
<reponame>isaaclegred/universality
"""a module for custom (Gaussian) kernel density estimation (KDE)
"""
__author__ = "<NAME> (<EMAIL>)"
#-------------------------------------------------
import numpy as np
from scipy.special import erf
import multiprocessing as mp
from universality import stats
from universality.u... | |
# coding: utf-8
"""
NEF_Emulator
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# ... | |
object in the
workspace @id ws KBaseGenomeAnnotations.Assembly), parameter
"quality" of type "Genome_quality_measure" (@optional
frameshift_error_rate sequence_error_rate) -> structure: parameter
"frameshift_error_rate" of Double, parameter "sequence_error_rate"
of Double, parameter "close_genomes" of list of type... | |
import tensorflow as tf
import numpy as np
import time
from copy import deepcopy
from tensorflow.python.ops.parallel_for import gradients
from tensorflow.contrib import rnn
class ALPaCA:
def __init__(self, config, sess, graph=None, preprocess=None, f_nom=None):
self.config = deepcopy(config)
self.lr = config['lr']... | |
CFUNCTYPE(GLboolean, GLuint) # GL/glext.h:3680
PFNGLBUFFERDATAPROC = CFUNCTYPE(None, GLenum, GLsizeiptr, POINTER(GLvoid), GLenum) # GL/glext.h:3681
PFNGLBUFFERSUBDATAPROC = CFUNCTYPE(None, GLenum, GLintptr, GLsizeiptr, POINTER(GLvoid)) # GL/glext.h:3682
PFNGLGETBUFFERSUBDATAPROC = CFUNCTYPE(None, GLenum, GLintptr, G... | |
import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils as nn_utils
import torch.backends.cudnn as cudnn
from torch.nn import SyncBatchNorm
import torch.optim.lr_scheduler as lr_scheduler
from torch.nn.parallel import DistributedDataParallel
import utils
f... | |
import inspect
import collections
from django.utils.html import html_safe,conditional_escape,mark_safe
from django.core.exceptions import ValidationError
from django.utils import six
from django import forms
from django.db import models
from django.utils import safestring
from . import widgets
from . import fields
i... | |
= \
scatter.get_xs(nuclides=nuclide, xs_type=xs_type,
moment=moment, subdomains=subdomain)
else:
self._scatter_matrix[i] = \
scatter.get_xs(nuclides=nuclide, xs_type=xs_type,
subdomains=subdomain)
def set_multiplicity_matrix_mgxs(self, nuscatter, scatter=None,
temperature=294., nuclide='total',
xs_type='macro... | |
<gh_stars>1-10
""" Class description goes here. """
import logging
import time
import uuid
import datetime
from dataclay.communication.grpc.messages.common.common_messages_pb2 import LANG_PYTHON
from dataclay.exceptions.exceptions import DataClayException
from dataclay.commonruntime.DataClayRuntime import DataClayRunt... | |
= list(np.copy(x1))
resY = list(np.copy(y1))
# print('resX = {}, resY = {}'.format(resX, resY))
# print('x2 = {}, y2 = {}'.format(x2, y2))
for i in range(len(x2)):
flag = False
for j in range(len(resX)):
if (floatEqual(x2[i], resX[j])):
resY[j] += y2[i]
flag = True
if (not flag):
resX.append(x2[i])
resY.a... |
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