input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
in the new mapping
if nffg is not None and nf_id in nffg:
new_running_nfs = [n.id for n in nffg.running_nfs(infra_id)]
# And connected to the same infra
if nf_id in new_running_nfs:
# NF was not moved, Skip deletion
self.log.debug('Unchanged NF: %s' % nf_id)
continue
# If the NF exists in the new mapping, but m... | |
## @file scrumbotCog.py
# @author <NAME>, <NAME>, <NAME>
# @brief A cog containing all commands related to projects.
# @date Mar 12, 2020
import discord
from discord.ext import commands
import os, sys, inspect
currentDir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentDir = o... | |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
... | |
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import sys
import math
from GraphicsView import *
'''
10/16
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- drawing works in test.py and would like to integrate it back over here
- work like to fix the editing pa... | |
East Asian ideograph
0x295825: (0x9CBA, 0), # East Asian ideograph
0x224D73: (0x6FB6, 0), # East Asian ideograph
0x224652: (0x6C0D, 0), # East Asian ideograph
0x234653: (0x93F1, 0), # East Asian ideograph
0x225851: (0x739E, 0), # East Asian ideograph
0x6F4E40: (0xB5D1, 0), # Korean hangul
0x213868: (0x58D5, 0), ... | |
size for first batch
returned.
produce_cursors (bool): Whether to generate cursors from query.
start_cursor: Starting point for search.
end_cursor: Endpoint point for search.
timeout (Optional[int]): Override the gRPC timeout, in seconds.
deadline (Optional[int]): DEPRECATED: Synonym for ``timeout``.
read_consis... | |
% key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_download`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:... | |
to do.
"""
for act in self._cleanup_actions():
return True
return False
def _cleanup_actions(self):
"""Iterator giving (func,args,kwds) tuples of cleanup actions.
This encapsulates the logic of the "cleanup" method without actually
performing any of the actions, making it easy to check whether cleanup
is req... | |
{},
"ccapAppTypeHisPSTNOutCallHandedOut": {},
"ccapAppTypeHisPSTNOutCallInHandoff": {},
"ccapAppTypeHisPSTNOutCallInHandoffRet": {},
"ccapAppTypeHisPSTNOutCallSetupReq": {},
"ccapAppTypeHisPSTNOutCallTotConn": {},
"ccapAppTypeHisPlaceCallAttempts": {},
"ccapAppTypeHisPlaceCallFailure": {},
"ccapAppTypeHisPlaceC... | |
from __future__ import absolute_import, print_function, division
import os
import numpy as np
from glob import glob
import matplotlib
from matplotlib import pyplot as plt
import astropy.units as u
from astropy.constants import R_sun
from astropy.coordinates import SphericalRepresentation
from .lightcurve import LightC... | |
<filename>emat/analysis/explore_2/explore_visualizer.py
import numpy
import pandas
import warnings
import functools
from ...viz import colors
from ...scope.box import GenericBox
from traitlets import TraitError
from plotly import graph_objs as go
from ipywidgets import Dropdown
import ipywidgets as widget
import log... | |
<gh_stars>0
"""
Objects for dealing with Laguerre series.
This module provides a number of objects (mostly functions) useful for
dealing with Laguerre series, including a `Laguerre` class that
encapsulates the usual arithmetic operations. (General information
on how this module represents and works with such polynomia... | |
import support.classes as classes
import numpy as np
import scipy
from scipy import stats
class LgstReg(classes.Data):
def __init__(self, dinfo):
'''
Given data with X_tr, X_te, y_tr, y_te, we
initialize a model object with loss functions, gradients,
Hessians, etc., as well as an "eval" method which
automatica... | |
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use... | |
<gh_stars>1-10
"""
Provides full versioning CRUD and representation for collections of xblocks (e.g., courses, modules, etc).
Representation:
* course_index: a dictionary:
** '_id': a unique id which cannot change,
** 'org': the org's id. Only used for searching not identity,
** 'course': the course's catalog numbe... | |
# This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.8
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (2, 6, 0):
def swig_import_helper():
from os.path import dirnam... | |
from cam_functions import extract_feat_cam
from utils import create_folders, save_data, preprocess_images, load_data, print_classes
from pooling_functions import weighted_cam_pooling, descriptor_aggregation, retrieve_n_descriptors, compute_pca, sum_pooling
from scipy.misc import imread
import math
from reranking i... | |
offset = -2.5*np.log10(res1[:,1])
if full_output:
print( "Impossible to return proper residuals" )
residuals = None
else: # Calculate the residuals in the magnitude domain
res1 = np.array([ Utils.Misc.Fit_linear(self.data['mag'][i]-pred_flux[i], err=self.data['mag_err'][i], m=0., inline=True) for i in np.arange(se... | |
tz
}
url_args = endpoint.make_url_args(params)
url = '?'.join([url, url_args])
resp = self.session.get(url)
return resp
@with_cursor(protocol.DataPointCursor, protocol.MultiPoint)
def read_multi_rollups(self, key, start, end, rollups, period,
tz=None, interpolationf=None,
interpolation_period=None, limit=5000... | |
from math import sqrt
from collections import namedtuple
import torch
from e3nn import o3
from e3nn.util import eval_code
def _prod(x):
out = 1
for a in x:
out *= a
return out
class TensorProduct(torch.nn.Module):
r"""Tensor Product with parametrizable paths
Parameters
----------
in1 : `Irreps` or list of... | |
# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# --------------------------------------------... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
File game_pong.py created on 12:56 2018/1/6
@author: <NAME>
@version: 1.0
"""
from math import sqrt
from interfaces import *
import pygame
class PongState(State):
def __init__(self, s, flag=0):
super(PongState, self).__init__(s)
self.flag = flag
@staticmethod
... | |
brush = QtGui.QBrush(QtGui.QColor(127, 0, 0))
brush.setStyle(QtCore.Qt.SolidPattern)
palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Dark, brush)
brush = QtGui.QBrush(QtGui.QColor(170, 0, 0))
brush.setStyle(QtCore.Qt.SolidPattern)
palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Mid, brush)
brush = Q... | |
import numpy as np
from .._wcs_utils import WCSInversionInterpolator, WCSGridScalarInterpolator
from ...wcs import FastHashingWCS
COADD_WCS = FastHashingWCS({
'xtension': 'BINTABLE',
'bitpix': 8,
'naxis': 2,
'naxis1': 24,
'naxis2': 10000,
'pcount': 83807884,
'gcount': 1,
'tfields': 3,
'ttype1': 'COMPRESSED_D... | |
<reponame>thuleqaid/boost_study<gh_stars>1-10
# voom_mode_asciidoc.py
# Last Modified: 2014-05-21
# VOoM -- Vim two-pane outliner, plugin for Python-enabled Vim 7.x
# Website: http://www.vim.org/scripts/script.php?script_id=2657
# Author: <NAME> (<EMAIL> DOT <EMAIL> AT <EMAIL> DOT <EMAIL>)
# License: CC0, see http://cr... | |
sequence=None):
items = []
if sequence is None:
sequence = method
method = obj
for item in sequence:
items.append(method(item))
else:
for item in sequence:
items.append(method.call(obj, item))
return items
def reduce(func, iterable, initializer=JS("(function(){return;})()")):
try:
iterable = iter(itera... | |
<gh_stars>1-10
from __future__ import annotations
import os
from os.path import join
from typing import Union
import numpy as np
import pandas as pd
from astropy.cosmology import Planck18 as cosmo # noqa
from redback.get_data.directory import afterglow_directory_structure
from redback.transient.transient import Tran... | |
delta_o_2 = N.zeros((self.timeSteps,self.no))
delta_h_1 = N.zeros((self.timeSteps,self.nh1))
delta_h_2 = N.zeros((self.timeSteps,self.nh2))
delta_c_1 = N.zeros((self.timeSteps,self.nh1))
delta_c_2 = N.zeros((self.timeSteps,self.nh2))
delta_p_1 = N.zeros((self.timeSteps,self.np1))
delta_p_2 = N.zeros((self.timeSte... | |
<reponame>stangelid/qt
import sys
import os.path
import json
import argparse
from random import seed
from time import time
import math
from scipy.cluster.vq import kmeans
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import StepLR
from tor... | |
= []
if icdf.idl > -1:
wrk = ncid.variables[icdf.tname][:]
self.T_LIST = list(wrk)
else:
self.T_LIST = []
self.DATE = []
for i in range(icdf.nt):
self.DATE.append(num2date(self.T_LIST[i], \
units=icdf.time_units, \
calendar=icdf.time_calendar))
# ========================
def plot_initialize(self):
# ====... | |
<filename>__init__.py
#importazione dei pacchetti necessari
from flask import Flask, redirect, url_for, render_template, request, session, flash, send_file, send_from_directory
from datetime import timedelta, datetime
import pytz
from flask_sqlalchemy import SQLAlchemy
import time
import smtplib, ssl
from email.message... | |
an alias.
#
# item_names is the set of final names or aliases for each item in the SELECT list.
item_names = set()
for item in select_items:
if not item.alias and not item.val_expr.is_col:
continue
if item.name in item_names:
item.alias = '*CONFLICT*'
else:
item_names.add(item.name)
# base_item_name_counts ... | |
<reponame>helenacuesta/multif0-estimation-polyvocals
import os
import glob
import json
import csv
import ast
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import scipy
import utils
import pescador
import mir_eval
import keras.backend as K
''' TRAINING UTIL FUNCTIONS
Some of the functio... | |
import numpy as np
import pandas as pd
class ConflictManager:
"""In charge of calculating the conflict meassurements, and all the related dataframes
with intermediate steps.
Attributes:
all_content (pd.DataFrame): All content as per received through the Wikiwho Actions API
conflicts (pd.DataFrame): The actions ... | |
get_p_tz(self, density=True, light_weighted=False):
"""Get p(t,z)
Args:
density (bool): whether to return probabilty density (True) or the
volume-element weighted probabilty (False)
light_weighted (bool): whether to return light-weighted (True) or
mass-weighted (False) quantity
Returns:
array
"""
p_tz_x = ... | |
""" some tools about fcm"""
# -*- coding: utf-8 -*-
import csv
import os
import random
import time
from math import exp
import matplotlib
# matplotlib.use('Agg')
import matplotlib.colors as pltColors
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from collections import deque
def saveUV(U, V,... | |
# -*- coding: utf-8 -*
from pathlib import Path
import ujson as json
import numpy as np
from . import _deck
from . import _utils
_BONUS_CARDS = {_deck.Card(c) for c in ["Qh", "Kh"]}
class DefaultPlayer: # pylint: disable=too-many-instance-attributes
"""Player which selects one card randomly at each round.
Note
... | |
import time
import base64
import os
import pathlib
import random
import string
import subprocess
from kubernetes import client, watch, config
from kubernetes.dynamic.exceptions import ConflictError
KUBE_SYSTEM = "kube-system"
META_URL = os.getenv("JUICEFS_META_URL") or ""
ACCESS_KEY = os.getenv("JUICEFS_ACCESS_KEY") ... | |
#
# Copyright (c) 2015,2017 - Adjacent Link LLC, Bridgewater, New Jersey
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copyright
# no... | |
"""
SPC Statistical Process Control provides means to monitor process behaviour
using statistical tools defined by Shewhart and others. The process run is shown
as Quality Control Charts (QCC).
Author: <NAME> <<EMAIL>>
License: MIT
"""
"""
Edited by <NAME>
Added: Missing Rules
Some changes
Changepoint is added, when ... | |
from scipy.optimize import root
import numpy as np
import cantera as ct
import pandas as pd
from solventx import result_struct as rs
from solventx import utilities
from solventx import config
import operator
import os
class solventx:
coltypes = ['Extraction','Scrub','Strip']
ml2l = 0.001 # mililiter to liter
... | |
<filename>ramldocgen/generator.py
from xml.sax.saxutils import escape
import pyraml.parser as ramlparser
from .inlines import highlight_inline_js, api_doc_inline_css
from collections import OrderedDict
import re
import sys
import json
no_short_close = ['div', 'span', 'script']
def idfirst(od):
res = OrderedDict()
... | |
import json
import os
import pytest
import requests
from tests.acceptance.helpers import ENDPOINT_ACTIVATE
from tests.acceptance.helpers import ENDPOINT_CONFIG
from tests.acceptance.helpers import create_and_validate_request_and_response
from tests.acceptance.helpers import sort_response
expected_activate_ab = """[
... | |
from __future__ import absolute_import, print_function, division
import threading
import time
import traceback
import h2.exceptions
import hyperframe
import six
from h2 import connection
from h2 import events
from six.moves import queue
import netlib.exceptions
from mitmproxy import exceptions
from mitmproxy import ... | |
get children sections of root
for s in sections:
txt += u"""<section>\n<sectionLabel> {0} </sectionLabel>\n""".format(s)
markups = self.getSectionMarkups(s)
for m in markups:
txt += u"<sentence>\n<sentenceNumber> %d </sentenceNumber>\n<sentenceOffset> %d </sentenceOffset></sentence>\n%s"%(
(m[0],sentenceOffsets... | |
bgp_v4_neighbors_output = \
"""
BGP neighbor is 10.0.0.57, remote AS 64600, local AS 65100, external link
Description: ARISTA01T1
Member of peer-group PEER_V4 for session parameters
BGP version 4, remote router ID 172.16.58.3, local router ID 10.1.0.32
BGP state = Established, up for 00:00:39
Last read 00:00:00, L... | |
<filename>feedbag/day2/2.passwords.py
#original sample data
#policy = [
#"1-3 a: abcde",
#"1-3 b: cdefg",
#"2-9 c: ccccccccc"
#]
# Given puzzle data
policy = [
"3-5 f: fgfff",
"6-20 n: qlzsnnnndwnlhwnxhvjn",
"6-7 j: jjjjjwrj",
"8-10 g: gggggggggg",
"5-6 t: ttttttft",
"6-11 h: khmchszhmzm",
"4-6 q: qqbjqqqj",
"6-8 j: g... | |
<gh_stars>0
# -*- coding: utf-8 -*-
"""
Vector Autoregression (VAR) processes
References
----------
Lรผtkepohl (2005) New Introduction to Multiple Time Series Analysis
"""
from __future__ import division, print_function
from statsmodels.compat.python import (range, lrange, string_types,
StringIO, iteritems)
from coll... | |
fraction
"""
fnames = []
for frac_d in xrange(self.num_dates_fracs):
frac_id = (frac_num, frac_d)
fnames.append(self.frac_fname(frac_id))
return fnames
def load_frac_by_num(self, frac_num, t_from=None, t_to=None,
hdfs_client=None):
"""
Load a fraction given its frac_num and a date range
"""
if t_from is No... | |
"973": 15992,
"OTA": 15993,
"รฏ": 15994,
"38)": 15995,
"vent": 15996,
"โWij": 15997,
"228": 15998,
"ging": 15999,
"โAldri": 16000,
"โZvez": 16001,
"0.1": 16002,
"โHoy": 16003,
"โcool": 16004,
"โes": 16005,
"books": 16006,
"โDate": 16007,
"kla": 16008,
"โFresh": 16009,
"โPopular": 16010,
"โflu": 16011,... | |
<reponame>TimSweering/PolyReach
"""
This file contains function / classes to get the Polyflow operator / error bound
"""
from typing import Type, Tuple
from typing import List
import json
import cvxpy as cp
import numpy as np
import numba as nb
from scipy.linalg import expm
from scipy import optimize
from sympy.print... | |
assert_labels(Assert):
def wrap(self, testcase, *args, **kwargs): # pylint: disable=arguments-differ
# Strip off the "test_" from the function name
name = self.func.__name__[5:]
alias = self.translator.ALIASES_REVMAP.get(name)
labels = ["foo", "bar=baz", {"hello": "world"}]
expected = {"foo": "", "bar": "baz", "h... | |
<reponame>pulumi/pulumi-libvirt
# 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... | |
"""------------------for AC"""
import enum
import logging
from typing import Optional
from .device import (
UNIT_TEMP_CELSIUS,
UNIT_TEMP_FAHRENHEIT,
Device,
DeviceStatus,
)
from . import (
FEAT_ENERGY_CURRENT,
FEAT_HUMIDITY,
FEAT_HOT_WATER_TEMP,
FEAT_IN_WATER_TEMP,
FEAT_OUT_WATER_TEMP,
)
from .core_exceptio... | |
<filename>appengine/flexible/hello_world/app/firestore_service.py
import datetime
import firebase_admin
from flask import session
from firebase_admin import firestore
app = firebase_admin.initialize_app()
db = firestore.client()
## when you use document.get() return a list []
## when you use collection.stream() retur... | |
import unittest
from bfdpie import *
class Test(unittest.TestCase):
def test_large_vma(self):
b = Binary()
# 32-bit limit test
dis1 = b.disassemble(b"\x90", ARCH_I686, 0x80000000)
dis2 = b.disassemble(b"\x90", ARCH_X86_64, 0x80000000)
self.assertTrue(dis1[0].vma >= 0)
self.assertTrue(dis2[0].vma >= 0)
# 64-... | |
<reponame>ratt-ru/codex-africanus<gh_stars>10-100
# -*- coding: utf-8 -*-
from collections import namedtuple
import numpy as np
import numba
from numba.experimental import jitclass
import numba.types
from africanus.constants import c as lightspeed
from africanus.util.numba import generated_jit, njit, is_numba_type_n... | |
# coding: utf8
"""
Viewer classes
Original author: <NAME>
"""
from tkinter import *
from tkinter import ttk
from tkinter import messagebox
from tkinter.filedialog import *
import PIL
from PIL import ImageTk, Image, ImageOps
from PIL.Image import *
from PIL.Image import BOX, LINEAR, NEAREST, EXTENT, fromarray
import num... | |
was not initially created by from_db,
# assume content has been modified.
content_modified = True
if content_modified:
# If content has been modified, then save normally.
return super().save(**kwargs)
else:
# If content has not been modified, then exclude all of the
# Metadata fields as well as modified_dateti... | |
time.time() + last_time)
last_time = time.time()
else:
print("malformed rhythm pattern: " + rhythm_substr)
break
# print("AUDIO THREAD: Beginning post_ems display: time since start: " + str(time.time()-time_naught))
if post_ems_test_flag:
for i in range(post_ems_repeats): # present the rhythm with appropriate nu... | |
, weekend_allowed = 0
, required_overtime = 0
)
db.time_record.create \
( daily_record = dr
, start = '14:30'
, end = '16:30'
, work_location = '1'
, wp = '6'
)
db.time_record.create \
( daily_record = dr
, start = '08:15'
, end = '13:00'
, work_location = '1'
, wp = '6'
)
db.time_record.create \
( da... | |
# -*- coding: utf-8 -*-
from __future__ import print_function
import bitso
import requests
from pprint import pformat as pf
import datetime
import csv
import time
import sys
# from ..helpers import ottoHelpers # Need to update to Python3
class Bitso(object):
""" Class to perform Bitso trades over crypto-currencies
... | |
is None
D = {1:2}
def f():
g(D)
return g()
a = self.RPythonAnnotator()
s = a.build_types(f, [])
assert s.knowntype == bool
assert not s.is_constant()
def test_issubtype_and_const(self):
class A(object):
pass
class B(object):
pass
class C(A):
pass
b = B()
c = C()
def g(f):
if f == 1:
x = b
elif f =... | |
<gh_stars>0
import os
import numpy as np
import pandas as pd
import pytest
from numpy.testing import assert_array_almost_equal
import resqpy.derived_model as rqdm
import resqpy.fault as rqf
import resqpy.grid as grr
import resqpy.lines as rql
import resqpy.model as rq
import resqpy.olio.uuid as bu
import resqpy.olio.... | |
<filename>pldm_bej_encoder_decoder.py
"""
PLDM BEJ Encoder/Decoder
File : pldm_bej_encoder_decoder.py
Brief : This file allows encoding a JSON file to PLDM Binary encoded JSON (BEJ) and
decoding a PLDM BEJ file back into JSON.
"""
import argparse
import json
import io
import sys
import os
import re
import string
... | |
from contextlib import ExitStack
from queue import Queue
from tempfile import gettempdir
from threading import Event
from unittest import TestCase
from unittest.mock import MagicMock, call, patch
from packaging.version import Version
from path import Path
from dakara_player.media_player.base import (
InvalidStateErr... | |
#!/usr/bin/env python
# The piwheels project
# Copyright (c) 2017 <NAME> <https://github.com/bennuttall>
# Copyright (c) 2017 <NAME> <<EMAIL>>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of so... | |
#!/usr/bin/env python
#
# This file is part of snmpsim software.
#
# Copyright (c) 2010-2018, <NAME> <<EMAIL>>
# License: http://snmplabs.com/snmpsim/license.html
#
# SNMP Simulator MIB to data file converter
#
import getopt
import sys
import os
import time
import socket
import struct
import bisect
import traceback
tr... | |
<reponame>andyruddh/irl-maxent<gh_stars>10-100
"""
Maximum Entropy Inverse Reinforcement Learning and Maximum Causal Entropy
Inverse Reinforcement Learning.
Based on the corresponding paper by <NAME> et al. (2008) and the Thesis
by Ziebart (2010).
"""
import numpy as np
from itertools import product
# -- common fun... | |
The last global batch only contains data for one replica.
if drop_remainder:
expected_values = [[[0, 1], [2, 3]], [[4, 5], [6, 7]]]
else:
expected_values = [[[0, 1], [2, 3]], [[4, 5], [6, 7]], [[8], []]]
distribution.extended.experimental_enable_get_next_as_optional = True
self._test_input_iteration(
input_type,... | |
cnn=False,
leakage_model=LeakageModelType.AES_MULTI,
input_type=AIInputType.SIGNAL,
augment_shuffle=True,
n_hidden_layers=1,
n_hidden_nodes=256,
activation='leakyrelu',
metric_freq=100,
regularizer=None,
reglambda=0.001,
model_suffix=None,
use_bias=True,
batch_norm=True,
hamming=False,
key_low=1,
key_hig... | |
<reponame>dlfming/dd_catl_demo<filename>venv/Lib/site-packages/baidubce/services/bes/bes_client.py<gh_stars>0
# Copyright 2014 Baidu, 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
#
# ht... | |
import os
import os.path as op
import ast
from werkzeug import secure_filename
from werkzeug.datastructures import FileStorage
from wtforms import ValidationError, fields
from wtforms.widgets import HTMLString, html_params
try:
from wtforms.fields.core import _unset_value as unset_value
except ImportError:
from w... | |
๋ํ๋ฏผ๊ตญ ์ ๋ผ๋ถ๋ ์ ์ฃผ์ ์์ฐ๊ตฌ์์ ์๋ฒ์ง ๊น์ข
๊ตฌ, ์ด๋จธ๋ ๊นํฌ์ ์ฌ์ด์ 1๋จ 2๋
์ค ๋์งธ๋ก ํ์ด๋ฌ๋ค. ๊ฐ์กฑ์ผ๋ก๋ ์ค๋น ๊น์ง์
, ์ฌ๋์ ๊นํ์ฐ์ด ์๋ค. ์ด๋ฆด ์ ๋ถํฐ ์ถค์ ์ข์ํ๊ณ ํนํ ๋ช
์ ๋๋ ์น์ฒ๋ค์ด ์ถค์ ์ํค๋ฉด ๊ณง์ ์ถ์๋ค๋ ํ์ฐ์ TV์์ ๋ณด์๋ฅผ ๋ณด๊ณ ๊ฐ์์ ๊ฟ์ ๊ฐ๊ฒ ๋์๋ค๊ณ ํ๋ค. ์ ์ฃผ์์ง์ด๋ฑํ๊ต๋ฅผ ์กธ์
ํ์๊ณ ์ ์ฃผ์์ง์คํ๊ต 2ํ๋
์ด๋ 2003๋
SM์์นด๋ฐ๋ฏธ ์คํ๋ผ์ดํธ ๋ฉ์ธ์ง๋ฐฉ๋ณด์ปฌ๊ณผ 4๊ธฐ์ ๋ค์ด๊ฐ๊ฒ ๋๋ฉด์ ์๋ฒ์ง์ ํจ๊ป ์ฃผ๋ง๋ง๋ค ์ ์ฃผ์์ ์์ธ๋ก ์ด๋ํ๋ฉฐ ๊ฐ์์ ๊ฟ์ ํค์ ๋ค. 2004๋
์ ๋น์ ๋ณด์ปฌ ํธ๋ ์ด๋์๋ ๋ ์์ ์ ๊ท 2์ง ์๋ก๊ณก ใYou Bring ... | |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# BibleBooksCodes.py
#
# Module handling BibleBooksCodes functions
#
# Copyright (C) 2010-2022 <NAME>
# Author: <NAME> <<EMAIL>>
# License: See gpl-3.0.txt
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Pu... | |
<filename>tests/labhub_test.py
import queue
import textwrap
from unittest.mock import Mock, MagicMock, create_autospec, PropertyMock, patch
import github3
import IGitt
from IGitt.GitHub.GitHubMergeRequest import GitHubMergeRequest
from IGitt.GitLab.GitLabMergeRequest import GitLabMergeRequest
from IGitt.GitHub.GitHubI... | |
stack.
See also: AWS API Documentation
:example: response = client.describe_layers(
StackId='string',
LayerIds=[
'string',
]
)
:type StackId: string
:param StackId: The stack ID.
:type LayerIds: list
:param LayerIds: An array of layer IDs that specify the layers to be described. If you omit this par... | |
<filename>tests.py<gh_stars>0
__author__ = "<NAME>"
__license__ = "MIT"
__email__ = "<EMAIL>"
# MODULE EXPOSURE
__all__ = [
"assert_eq",
"assert_identical",
"assert_is",
"assert_not_identical",
"none",
]
# IMPORTS
from pyrat.base import identical, vector
# FUNCTIONS
def assert_eq(a, b):
test = (a == b... | |
servers
elv_ctx = context.elevated()
if port_id:
relay_servers = self._get_port_relay_servers(elv_ctx, port_id)
else:
relay_servers = []
filters = {'device_owner': [l3_db.DEVICE_OWNER_ROUTER_INTF],
'device_id': [router_id]}
ports = self.get_ports(elv_ctx, filters=filters)
for port in ports:
port_relay_servers... | |
# mapper.py
# <NAME>
# Lines to sentences code partially taken/modified from project with Dr. Harrison
import re
import sys
from unidecode import unidecode
import zipimport
importer = zipimport.zipimporter('nltk.mod')
nltk = importer.load_module('nltk')
try:
from nltk.corpus import stopwords
except Exception as e:
p... | |
#! /usr/bin/env python
"""Experimental module for Python 2 compatibility.
The purpose of this module is to enable Pyslet to be gradually converted
to Python3 while retaining support for Python 2.7 and 2.6. This fills a
similar role to the six module but the idea is to minimise the number of
required fixes by making th... | |
self).__init__(**kwargs)
self.id = kwargs['id']
self.entities = kwargs['entities']
self.warnings = kwargs['warnings']
self.statistics = kwargs.get('statistics', None)
class DocumentError(msrest.serialization.Model):
"""DocumentError.
All required parameters must be populated in order to send to Azure.
:param... | |
data by before
performing the comparison.
source_by (list): A list of field names to sort the source data by before
performing the comparison (uses ``by`` if not given).
target_by (list): A list of field names to sort the target data by before
performing the comparison (uses ``by`` if not given).
Examples:
As... | |
#
# Utility functions for loading and creating and solving circuits defined by
# netlists
#
import numpy as np
import codecs
import pandas as pd
import liionpack as lp
import os
import pybamm
import scipy as sp
from lcapy import Circuit
def read_netlist(
filepath,
Ri=None,
Rc=None,
Rb=None,
Rt=None,
I=None,
... | |
import numpy as np
import collections
from gensim import matutils
import os
import codecs
import sys
import glob
import gensim
# NOTE that you can give a dModels as input (this allows for
# adding to/replacing models already loaded).
def loadAllModels(sGlobPattern, dModels={}, bReplace=True, bBinary=True):
for sMode... | |
<reponame>nwukie/ChiDG
from __future__ import division
import sys
import os
import time
import numpy
import pickle
from sympy import *
from sympy.tensor.array import MutableSparseNDimArray
def update_progress(job_title, progress):
length = 20 # modify this to change the length
block = int(round(length*progress))
... | |
<gh_stars>10-100
from __future__ import absolute_import, division, print_function, with_statement
from __future__ import unicode_literals
from deepstreampy.constants import topic as topic_constants
from deepstreampy.constants import actions as action_constants
from deepstreampy.constants import event as event_constant... | |
# (c) Copyright IBM Corp. 2020. All Rights Reserved.
# -*- coding: utf-8 -*-
# pragma pylint: disable=unused-argument, no-self-use
"""Function implementation"""
import logging
import json
import csv
import re
import sys
import time
if sys.version_info.major < 3:
from StringIO import StringIO
from io import BytesIO
e... | |
"""
SPADE is the combination of a mining technique and multiple statistical tests
to detect and assess the statistical significance of repeated occurrences of
spike sequences (spatio-temporal patterns, STP).
Given a list of Neo Spiketrain objects, assumed to be recorded in parallel, the
SPADE analysis can be applied a... | |
tick_delta,
tikz_str=""):
x, y = start_cs
return [
vertical_line_segment([x + i * tick_spacing, y], tick_delta, tikz_str)
for i in range(num_ticks)
]
def vertical_ticks(start_cs, num_ticks, tick_spacing, tick_delta, tikz_str=""):
x, y = start_cs
return [
vertical_line_segment([x, y + i * tick_spacing], tick_... | |
<filename>support.py
"""
All necessary utilities (take and evaluate a picture, estimate position, drive towards position,...)
are implemented in this module
"""
import configparser
import anki_vector
import time
import threading
from anki_vector.util import degrees, distance_mm, speed_mmps, Pose, Angle
from anki_vecto... | |
"""
Mininet: A simple networking testbed for OpenFlow/SDN!
author: <NAME> (<EMAIL>)
author: <NAME> (<EMAIL>)
Mininet creates scalable OpenFlow test networks by using
process-based virtualization and network namespaces.
Simulated hosts are created as processes in separate network
namespaces. This allows a complete ... | |
list_sk_pvalue
del H
Comp_Nuba_350_df = pd.DataFrame(Composites_Nuba_350, index = c)
Sk_Nuba_stat_350_df = pd.DataFrame(Sk_Nuba_stat_350, index = c)
Sk_Nuba_pvalue_350_df = pd.DataFrame(Sk_Nuba_pvalue_350, index = c)
Sk_Nuba_stat_348 = {}
Sk_Nuba_pvalue_348 = {}
Composites_Nuba_348 = {}
for i in df_FH_nuba_348_groupH... | |
>>> # xdoc: +REQUIRES(--download, module:ndsampler)
>>> from netharn.models.yolo2.yolo2 import * # NOQA
>>> info = dev_demodata()
>>> self, output, target = ub.take(info, ['criterion', 'outputs', 'target'])
>>> model = info['model']
>>> self = YoloLoss(model.coder)
>>> loss_parts = self.forward(output, target)
>... | |
<gh_stars>0
import hashlib
import itertools
import json
import logging
import multiprocessing
import os
import shutil
import stat
import tarfile
import time
from _hashlib import HASH as Hash
from enum import Enum
from fnmatch import fnmatch
from datetime import datetime
from collections import defaultdict
from glob i... | |
result.detrivialize()
self.negated = thing = self.negated.detrivialize()
if thing is None: return ~BTPredicate() # uniquely false
if thing.false: return None # uniquely true
return self
def __call__(self, boundtuples, toplevel=0):
from types import IntType
tt = type
current = BTPredicate.__call__(self... | |
""" Module to access the Channels endpoints """
# pylint: disable=too-many-lines,too-many-locals,too-many-public-methods,too-few-public-methods
from typing import Any, Dict, List, Optional, Union, cast
from pydantic import BaseModel
from ...models import (
AddChannelMemberJsonBody,
Channel,
ChannelListWithTeamDat... | |
import json
from io import BytesIO
from app.ext.api.exceptions import (
ChefNotFound,
InvalidToken,
MaximumImageCapacityError,
OperationNotAllowed,
RecipeWithoutIngredient,
RecipeWithoutPreparationMode,
)
from app.ext.api.services import token_services
def test_edit_recipe(client, admin_user):
new_user1 = {
... | |
<gh_stars>0
# -*- coding: utf-8 -*-
"""
Created on Sat May 9 14:44:18 2020
@author: Janice
"""
#%% imports
from nltk.stem import WordNetLemmatizer
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
import pandas as pd
import numpy as np
import re
from collections import Counter, defaultdict
... |
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