input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
# -*- coding=UTF-8 -*-
# pyright: strict
from __future__ import annotations
import traceback
from concurrent import futures
from typing import Callable, Iterator, Optional, Tuple
import cast_unknown as cast
import cv2
import numpy as np
from PIL.Image import Image
from PIL.Image import fromarray as image_from_array
... | |
^ d(29) ^ d(30) ^ d(31),
q(0) ^ q(1) ^ q(6) ^ q(7) ^ q(9) ^ q(11) ^ q(12) ^ q(13) ^ q(16) ^ q(17) ^ q(24) ^ q(27) ^ q(28) ^ d(0) ^ d(1) ^ d(6) ^ d(7) ^ d(9) ^ d(11) ^ d(12) ^ d(13) ^ d(16) ^ d(17) ^ d(24) ^ d(27) ^ d(28),
q(0) ^ q(1) ^ q(2) ^ q(6) ^ q(7) ^ q(8) ^ q(9) ^ q(13) ^ q(14) ^ q(16) ^ q(17) ^ q(18) ^ q(24) ^... | |
# -*- coding: utf-8 -*-
"""
This enables to parameterize a desired scenario to mock a multi-partner ML project.
"""
from datasets import dataset_mnist, dataset_cifar10, dataset_titanic
from sklearn.model_selection import train_test_split
import datetime
import os
import numpy as np
import matplotlib.pyplot as plt
impo... | |
in enumerate(tqdm(self.G, desc=tqdm_desc_alg, leave=tqdm_leave, disable=(tqdm_disable or self.m == 1))):
for g, alg in enumerate(self.G):
# Initialize
alg.reset()
# Loop on time
#for t in tqdm(self.T, desc=tqdm_desc_it, leave=tqdm_leave, disable=(tqdm_disable or self.n > 1 or self.m > 1) ):
for t in self.T:
# ... | |
import metrics
import numpy as np
import torch
import revdiff as rd
import unittest
import utils
def get_grad(out, x):
return rd.build_node_grad(out, x)
def val(x):
return rd.build_val(x)
def get_arr_len(x):
if isinstance(x, (np.ndarray, np.generic)):
return x.size
else:
return 1
def mse(y_pred, y_true):
dif... | |
<gh_stars>0
#! /usr/bin/env python
# coding: utf-8
import re
import json
import logging
from time import time
from JYTools import logger
from JYTools.util import is_num
from JYTools.StringTool import is_string, join_decode
from JYTools.util.file import FileWriter
from JYTools.JYWorker.util import ValueVerify, ReportSc... | |
storagetypes.wait_futures( [ret_fut] )
return ret_fut.get_result()
@classmethod
def __compactify_get_candidates_delete( cls, volume_id, parent_id, dir_index_cutoff, async=False ):
"""
Find the set of allocated index nodes beyond a given offset, suitable for swapping into a newly-freed slot.
"""
to_compactif... | |
# Copyright (c) 2021 OpenKS Authors, Visual Computing Group, Beihang University.
# All rights reserved.
import os
import sys
import pickle
import argparse
import datetime
import time
import json
from tqdm import tqdm
import random
from pathlib import Path
import numpy as np
import torch
import torch.nn as nn
import t... | |
<filename>experiments/figures/work/make_figures.py
# standard library imports
import os
import sys
import argparse
import time
# package imports
import torch
from torch.distributions.normal import Normal
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import seaborn as sns
import... | |
u('\u65b0\u7586\u660c\u5409\u56de\u65cf\u81ea\u6cbb\u5dde')},
'861393168':{'en': '<NAME>', 'zh': u('\u6cb3\u5317\u7701\u5eca\u574a\u5e02')},
'861393169':{'en': 'Baoding, Hebei', 'zh': u('\u6cb3\u5317\u7701\u4fdd\u5b9a\u5e02')},
'861393164':{'en': '<NAME>', 'zh': u('\u6cb3\u5317\u7701\u5eca\u574a\u5e02')},
'86139316... | |
lm.dependent_learning_mechanisms:
projections = self._add_error_projection_to_dependent_learning_mechs(lm)
self.add_projections(projections)
# Suppress "no efferent connections" warning for:
# - error_signal OutputPort of last LearningMechanism in sequence
# - comparator
learning_mechanisms[-1].output_ports[ERRO... | |
<reponame>jzuhone/kadi<gh_stars>0
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from collections import defaultdict
import math
import difflib
import os
from pathlib import Path
import calendar
import re
import gzip
import pickle
import itertools
import functools
import weakref
import logging
import ... | |
value
clf = svm.SVC(kernel="precomputed", C=1, verbose=False)
clf.fit(trn_kernel_mat, trn_lab)
label_hat = clf.predict(tst_kernel_mat)
score_hat = clf.score(tst_kernel_mat, tst_lab)
score_list.append(score_hat)
print "mAP (%.2f) at C=%.2f" % (np.mean(score_list)*100,C)
map_scores.append(np.mean(score_list)*100)... | |
scores = (50, 46).
Player 0 rolls 8 dice and gets outcomes [2, 6, 4, 6, 1, 4, 4, 5].
End scores = (51, 46)
>>> print(turns[5])
Start scores = (51, 46).
Player 1 rolls 0 dice and gets outcomes [].
End scores = (51, 49)
>>> print(turns[6])
Start scores = (51, 49).
Player 0 rolls 6 dice and gets outcomes [5, 3, 1... | |
<reponame>cfculhane/autorest.python<gh_stars>10-100
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by M... | |
and dummy_input_on_gpu is not specified.
"""
result = self._apply_helper(self._auto_quant_main,
fp32_model,
dummy_input_on_cpu,
dummy_input_on_gpu,
results_dir,
cache_id)
return result["model"],\
result["accuracy"],\
result["encoding_path"]
def _apply_helper(
self,
auto_quant_main_fn: Callable,
fp32_mode... | |
<= 1)
m.c4764 = Constraint(expr= m.b344 - m.b347 + m.b384 <= 1)
m.c4765 = Constraint(expr= m.b344 - m.b348 + m.b385 <= 1)
m.c4766 = Constraint(expr= m.b344 - m.b349 + m.b386 <= 1)
m.c4767 = Constraint(expr= m.b344 - m.b350 + m.b387 <= 1)
m.c4768 = Constraint(expr= m.b344 - m.b351 + m.b388 <= 1)
m.c4769 = Constrai... | |
a scalar valued
polynomial), self * other.
:param other: Polynomial, scalar or vector we should multiply this polynomial with.
:type: PolynomialLagrange, scalar or vector
:return: Product of this polynomial with other.
:rtype: :class:`PolynomialLagrange`.
"""
if isinstance(other, numbers.Number) or isinstance(o... | |
# PyjProperties - Java Property file parser and writer for Python
#
# Copyright (c) 2015, <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:
#
# * Redistributions of source code must retain th... | |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import os
import math
import copy
import torch
import torch.nn.functional as F
from fairseq import options, utils, metrics,... | |
"""@file galaxycluster.py
The GalaxyCluster class
"""
import pickle
import warnings
from .gcdata import GCData
from .dataops import compute_tangential_and_cross_components, make_radial_profile
from .theory import compute_critical_surface_density
from .plotting import plot_profiles
class GalaxyCluster():
"""Object th... | |
<gh_stars>10-100
from datetime import datetime
from re import search, sub
from dateutil.parser import parse
from pytz import UTC
from baseball.baseball import (POSITION_CODE_DICT,
PlateAppearance,
Player,
PlayerAppearance,
Inning,
Team,
Game)
from baseball.baseball_events import (AUTOMATIC_BALL_POSITION,
Pitc... | |
#!/usr/bin/env python
# coding: utf-8
# ## Calculate distance between means/medoids of mutation groupings
#
# Our goal is to find an unsupervised way of calculating distance/similarity between our mutation groupings ("none"/"one"/"both") which isn't affected by sample size, to the degree that differentially expressed... | |
<filename>plugins/motifmining.py
#21datalabplugin
import numpy
import numpy as np
import time
from scipy.ndimage import gaussian_filter
from system import __functioncontrolfolder
from model import date2secs
from model import epochToIsoString
from mininghelper import *
from pytz import timezone
from model import date2s... | |
<reponame>ghanem-mhd/LabChain
"""Test cases for the networking component."""
import json
import time
from unittest import TestCase
from werkzeug.test import Client
from labchain.datastructure.block import Block
from labchain.network.networking import ServerNetworkInterface, TransactionDoesNotExistException, B... | |
<filename>data/data_loader.py
"""Classes for loading various data types within the project, including
- Force plate XML data
- C3D data (to be moved here from another script)
- PLY data (to be moved here from another script)"""
import c3d
from vis.utils import *
import xml.etree.ElementTree as ET
from matplotlib imp... | |
packVer.version:
continue
else:
raise Exception("Package " + packVer.name + " already in " + filename + " but with a different version, present: " + packsInFile[packVer.name] + ", adding: " + packVer.version)
#if njh project, add the flags of it's dependencies
if pack.njhProject_:
cmd = "./setup.py --compfile com... | |
###############################################################################
# Imports
import argparse # Argument parser
import logging # DEBUG, INFO, WARNING, ERROR, CRITICAL
import Utility
import YawlToMetagraph
import TriplesToMetagraph
import PolicyAnalysisHelper
from mgtoolkit.library import *
from ortools... | |
= np.asarray((topright[0], topright[1]))
leftIntersectionPointA = np.asarray((leftIntersectionX, leftIntersectionY))
rightIntersectionPointA = np.asarray((rightIntersectionX,righttIntersectionY))
leftIntersectionPointB = np.asarray((leftIntersectionXB, leftIntersectionYB))
rightIntersectionPointB = np.asarray((ri... | |
to what we do in '_setup_event_channel' using 'self._topic_root_policy', and then
# calling 'self._sns.set_topic_attributes'
permission_label: str = self._generate_cw_alarm_to_sns_publish_permissin_label(
self.account_id, self.region, internal_alarm_name
)
try:
exponential_retry(self._sns.remove_permission, {"Int... | |
<filename>python-obj-system.py
#!/usr/bin/env python3
from mdpyformat import *
import pprintex
header_md("""Python object primer for Python3 / meta classes""" )
header_md("""Introduction""", nesting = 2)
print_md("""
Python is good at creating the illusion of being a simple programming language. Sometimes this illu... | |
import os.path
from io import StringIO
import json
from unittest.mock import patch, Mock
from django.core.management import call_command
from django.test import TestCase, override_settings
from django.urls import reverse
import pytest
import rdflib
import requests
from .admin import ManifestSelectWidget
from .models ... | |
org.logo is not None
assert org.logo.filename == "logo.png"
with request_ctx(
"/settings/logo",
method="POST",
data={
"reset": "Reset",
}) as ctx:
login_user(user)
resp = ctx.app.full_dispatch_request()
assert resp.status_code == 200
org.reload()
assert org.logo is None
@patch("orcid_hub.utils.send_email"... | |
import pytest
from helpers.cluster import ClickHouseCluster
import random
import string
import os
import time
from multiprocessing.dummy import Pool
cluster = ClickHouseCluster(__file__)
node = cluster.add_instance('node', main_configs=['configs/enable_keeper.xml', 'configs/logs_conf.xml'], with_zookeeper=True)
from k... | |
<reponame>JeschkeLab/DeerLab
from collections import namedtuple
from deerlab.whitegaussnoise import whitegaussnoise
from deerlab.model import Model, fit
import numpy as np
# Simple non-linear function for testing
x = np.linspace(0,5,100)
def gauss(mean,width):
return np.exp(-(x-mean)**2/width**2/2)
# Non-linear de... | |
might need to add also the score
if self.showScores:
additionalLines=[]
currentLineEndings = [name.split('.')[-1] for name in currentLines]
for key in newLines:
scoreName = key.split('.')[-1]+"_score"
for scoreVar in scoreVars:
if scoreName in scoreVar:
#we add this one only if it is not there already
if score... | |
def compute_mask(self, inputs, mask=None):
return [None, None, None, None]
def get_config(self):
config = super(DetectionTargetLayer, self).get_config()
return config
@tf.keras.utils.register_keras_serializable()
class DetectionLayer(tfl.Layer):
"""Takes classified proposal boxes and their bounding box deltas a... | |
do_sqrt=True, grid_number=13,
coord_scale=None, object_scale=None, prediction_not_a_object_scale=None, class_scale=None,
detection_threshold=None, iou_threshold=None, random_boxes=False, match_anchor_size=None,
num_to_force_coord=None):
'''
Generates a deep learning model with the Yolov2 architecture.
The model ... | |
vertices `(0, 1, ..., n)` and all of its faces.
EXAMPLES::
sage: simplicial_complexes.Simplex(3)
The 3-simplex
sage: simplicial_complexes.Simplex(5).euler_characteristic()
1
"""
return UniqueSimplicialComplex([TrueSimplex(n)],
name='The {}-simplex'.format(n))
def Torus():
r"""
A minimal triangulation of th... | |
import GPy
import numpy as np
import time
from os import getpid
import pandas as pd
import matplotlib.pyplot as plt
import scipy.spatial as spatial
from scipy import stats
from scipy.special import inv_boxcox
import multiprocessing
import math
# se cargan los datos de entrenamiento
train_data = pd.read_csv('../../GP_... | |
(unpatch_img)
predict_img = np.zeros((*unpatch_data_size,))
unpatch_weight_map = np.ones((*unpatch_data_size,)) * 1E-16
# Initialize weight to 1 for each patch size
if output_patch_size is None:
weight_patch = np.ones((*patch_size,) + (data_patch_size[-1],))
else:
weight_patch = np.ones((*output_patch_size,) + (... | |
<reponame>ftramer/stanford-suns-nips17<filename>untargeted/models.py
import tensorflow as tf
from nets import inception, resnet_v1, resnet_v2, resnet_utils, vgg, mobilenet_v1
from preprocessing.vgg_preprocessing import preprocess_image as vgg_preprocess
from preprocessing.inception_preprocessing import preprocess_image... | |
"""if tweet contains any of matches return its text joined with comments by the same person
that also match (and contain [1/2] etc)"""
if not any_in(tweet.get('text', tweet.get("comment", "")), *matches):
return ""
text = tw.get_tweetinfo(tweet['id']).contents['text']
if any(text in t for t in found):
return ""
... | |
#! /usr/bin/env python3
# Copyright 2021 OVHCloud
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | |
get_binop(n.op)), lineno=n.lineno), Dyn
node = ast.BinOp(left=left, op=n.op, right=right, lineno=n.lineno)
return (node, ty)
def visitUnaryOp(self, n, env, misc):
(operand, ty) = self.dispatch(n.operand, env, misc)
node = ast.UnaryOp(op=n.op, operand=operand, lineno=n.lineno)
if isinstance(n.op, ast.Invert):
ty... | |
> 0 and lR > 0 and relay.lower() == "gov":
msg = "I'd rather die than use obscene and improper words; but when you, as a governor, appear with your testicles hanging out, it is appropriate for me to speak of cunts and cocks."
elif lt == 0 and le > 0 and lR > 0 and relay.lower() == "help":
msg = "Alternative translat... | |
#!/usr/bin/python
""" XP7 Module
"""
import sys
import os.path
import csv
import string
import re
import copy
####################################################################################################
### Functions
##############################################################################################... | |
<reponame>robschneider16/AIT-Core
# Advanced Multi-Mission Operations System (AMMOS) Instrument Toolkit (AIT)
# Bespoke Link to Instruments and Small Satellites (BLISS)
#
# Copyright 2016, by the California Institute of Technology. ALL RIGHTS
# RESERVED. United States Government Sponsorship acknowledged. Any
# commerci... | |
<gh_stars>0
# Copyright (c) 2016-2018, University of Idaho
# All rights reserved.
#
# <NAME> (<EMAIL>)
#
# The project described was supported by NSF award number IIA-1301792
# from the NSF Idaho EPSCoR Program and by the National Science Foundation.
# standard library
import os
from os.path import join as _join
from... | |
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(getCountries... | |
columns from the DB
db_cols = get_table_cols(cls._table, conn_handler)
# Remove the sample_id and study_id columns
db_cols.remove('sample_id')
db_cols.remove(cls._id_column)
# Insert values on required columns
values = _as_python_types(md_template, db_cols)
values.insert(0, sample_ids)
values.insert(0, [study.... | |
<reponame>sumedhpb/testrunner
from lib.mc_bin_client import MemcachedClient, MemcachedError
from lib.memcacheConstants import *
from .subdoc_base import SubdocBaseTest
import copy, json
import sys
import random
class SubdocErrorHandling(SubdocBaseTest):
def setUp(self):
super(SubdocErrorHandling, self).setUp()
self... | |
inputdata:
for key in nodes:
if key not in inputdata:
raise exc.InvalidArgumentException(key + ' not in request')
datum = inputdata[key]
if 'nextdevice' not in datum:
raise exc.InvalidArgumentException(
'missing nextdevice argument')
elif datum['nextdevice'] not in self.valid_values:
raise exc.InvalidArgumentE... | |
1.2 0 .65-.55 1.2-1.2 1.2z"/></svg>
<div class="select-menu-item-text">
<span class="select-menu-item-heading">Create branch: <span class="js-new-item-name"></span></span>
<span class="description">from ‘master’</span>
</div>
<input type="hidden" name="name" id="name" class="js-new-item-value">
<input type="hidde... | |
few attaches under it,
# but, the attaches may be different to what the DCNM has for the same network.
if have_a['networkName'] == want_a['networkName']:
h_in_w = True
atch_h = have_a['lanAttachList']
atch_w = want_a.get('lanAttachList')
for a_h in atch_h:
if not a_h['isAttached']:
continue
a_match = False
... | |
import numpy as np
# import cupy as np
from utils.base_optim import *
class Layer(object):
''' 所有 Layer 的基类'''
def __init__(self, name="layer"):
# 层名
self.name = name
# 标志，当处于训练状态时设置为 true，当处于测试状态时设置为 false
self.train = True
def __call__(self, x):
# 重写 __call__ 之前使用前向传播：out = layer.forward(x)
# 重写 __call__ 之后... | |
import re
import transformer.Constants as Constants
from UPosTagMap import *
from SimplifyDepParse3 import SimplifyDepParse
class SentenceProcessing(object):
def __init__(self, symbol_file="./models/symbols.txt", debug=False):
self.debug = debug
self._symbol2key = self.readSymbolFile(symbol_file)
self... | |
"""
..
/------------------------------------------------------------------------------\
| -- FACADE TECHNOLOGIES INC. CONFIDENTIAL -- |
|------------------------------------------------------------------------------|
| |
| Copyright [2019] Facade Technologies Inc. |
| All Rights Reserved. |
| |
| NOTICE: All in... | |
<reponame>fabien-vavrand/aikit
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 6 14:13:56 2018
@author: <NAME>
"""
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils.validation import check_is_fitted
import pandas as pd
import numpy as np
try:
import category_encoders
except ImportError:
c... | |
# Vesion 1.0
# run with "python Acimdes_Client.py"
# for logging run with "python Acimdes_Client.py > log.txt"
# Copyright 2020 <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... | |
val1
if axis2 is not None:
vec[axis2] = val2[axis2] if isinstance(val2, Py_Vec) else val2
if axis3 is not None:
vec[axis3] = val3[axis3] if isinstance(val3, Py_Vec) else val3
return vec
def rotate(
self,
pitch: float=0.0,
yaw: float=0.0,
roll: float=0.0,
round_vals: bool=True,
) -> 'Vec':
"""Rotate a vect... | |
ooOoO0o * ooOoO0o + o0oOOo0O0Ooo . iII111i % iIii1I11I1II1 + Ii1I
if 88 - 88: Oo0Ooo . iII111i
oooOooOO -= 1
packet = packet [ 0 : 7 ] + struct . pack ( "B" , oooOooOO ) + packet [ 8 : : ]
return ( packet )
if 89 - 89: OOooOOo + I1Ii111 % i11iIiiIii + Oo0Ooo / Oo0Ooo + OoO0O00
if 9 - 9: OoOoOO00 % i1IIi + IiII
i... | |
import os
import re
import datetime
import json
import hashlib
from google.cloud import translate_v2 as translate
# ---------------------------------------------------------------------------------------------------------------------------------
class TextTranslate():
def __init__(self, lang) -> None:
self.text_id... | |
global
'http://www.leboncoin.fr/',
# Why: #181 in Alexa global
'http://www.goo.ne.jp/',
# Why: #182 in Alexa global
'http://www.liveinternet.ru/',
# Why: #183 in Alexa global
'http://www.google.co.ve/',
# Why: #184 in Alexa global
'http://www.56.com/',
# Why: #185 in Alexa global
'http://www.google.com.vn/',... | |
<reponame>rsdoherty/azure-sdk-for-python
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R... | |
1103305: "Raw Gargoyle's Halberd+5",
1103400: "Magic Gargoyle's Halberd",
1103401: "Magic Gargoyle's Halberd+1",
1103402: "Magic Gargoyle's Halberd+2",
1103403: "Magic Gargoyle's Halberd+3",
1103404: "Magic Gargoyle's Halberd+4",
1103405: "Magic Gargoyle's Halberd+5",
1103406: "Magic Gargoyle's Halberd+6"... | |
ncluster,
nsample=len(elm_labels['Shot']),
delta=.001,
maxiter=20,
metric=kmeans_distance,
verbose=0 )
nlabel=[]
[nlabel.append(len(np.where(klabels == i)[0])) for i in range(ncluster)]
# print(centres, klabels, dist)
# plt.figure()
# plt.scatter(np.arange(len(klabels)),klabels)
# plt.pause(0.001)
# return... | |
_waitForNodeSet(self):
'''
Fill node set for the request.
Obtain nodes for the request, pausing all new request handling for
this provider until the node set can be filled.
note:: This code is a bit racey in its calculation of the number of
nodes in use for quota purposes. It is possible for multiple
launchers... | |
#torch dependencies
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torch.autograd.gradcheck import zero_gradients
from torch.utils.data.sampler import SubsetRandomSampler
# torch dependencies for data load
import torchvision
from torchvision import datasets... | |
<filename>utils.py
import numpy as np
import torch
from torch.autograd import grad
from learn2learn.utils import clone_module, update_module
from torch import nn, optim
def maml_update(model, lr, grads=None):
"""
[[Source]](https://github.com/learnables/learn2learn/blob/master/learn2learn/algorithms/maml.py)
**De... | |
<filename>gerenciador_operacoes.py
from time import sleep
dados = {} ### --> DICIONÁRIO RECEBE TODOS OS DADOS COM SEUS RESPECTIVOS VALORES; ID, NOME ETC...
lista_de_dados = []
lista_principal = []
copia_dados = []### --> DICIONÁRIO RECEBE TODOS OS DADOS
codigo_cliente = 0 ### --> CONTADOR CONTAGEM TRANSAÇÕES
moeda_ori... | |
result will be stored.
pExcepInfo: A pointer to a structure that contains exception information.
puArgErr: The index of the first argument that has an error.
"""
pass
def __init__(self, *args): #cannot find CLR method
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...... | |
<filename>src/Python27Packages/run_mdao/__init__.py
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import os
import os.path
import io
import json
import importlib
import time
import contextlib
import itertools
import numpy
import six
from collec... | |
0.8*ar_ub, 5, endpoint=False), *numpy.linspace(0.8*ar_ub, ar_ub, 10) ]:
ar_simplex_l.append(ar)
if sim_simplex_reqed:
ET_sim_l.append(test_avq(nf, ar, t, r, k, serv, servdist_m, w_sys=True, mixed_traff=mixed_traff) )
c = next(dark_color)
label = 'Simplex' # if t != 1 else 'Simplex or MDS'
print("ET_sim_l= {}".for... | |
import math, copy
import numpy as np
import gym
from gym_minigrid import entities, render_text, encoding
class Cell(object):
def __init__(self):
self.color = 'black' # at the moment, we restrict background color to black
self.clear()
def clear(self):
self.entity = None
def __str__(self):
if self.entity is... | |
<reponame>bopopescu/sage
r"""
ISGCI: Information System on Graph Classes and their Inclusions
This module implements an interface to the `ISGCI <http://www.graphclasses.org/>`_ database in Sage.
This database gathers information on graph classes and their
inclusions in each other. It also contains information on the
... | |
"void":
return _gskernel.GsFieldVector_set(self, n, val)
# Register GsFieldVector in _gskernel:
_gskernel.GsFieldVector_swigregister(GsFieldVector)
class GsIntVector(object):
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag')
__repr__ = _swig_repr
def __in... | |
user = uuid.uuid4().hex
password = <PASSWORD>
conn = self.mox.CreateMockAnything()
conn = fakeldap.FakeLdap(CONF.ldap.url,
0,
alias_dereferencing=None,
tls_cacertdir=None,
tls_cacertfile=None,
tls_req_cert=2,
use_tls=False,
chase_referrals=True).AndReturn(conn)
conn.simple_bind_s(user, password).AndReturn(No... | |
self.white, (x, y), (self.SXSize - 10, y)) # To draw a separation line between commands and memory which is under
return y+10 # Return the Y position 10px under our drawn line
############################################################################################################
class UnsignedBi... | |
<filename>src/context.py
from __future__ import annotations
import sys
from collections import defaultdict, OrderedDict
from operator import attrgetter
from typing import Dict, Any, ClassVar, List, Set, Optional, Tuple
import src.settings as var # FIXME
from src.messages.message import Message
from src.logger import ... | |
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 7 14:57:55 2021
author: rringuet
Satellite Flythrough code to call for any model.
All desired model data for the desired model should be in a single directory.
Example calls from the command line:
Get list of models and function calls possible: python ./Satelli... | |
<reponame>bonitobonita24/Mayan-EDMS
import logging
from django.apps import apps
from django.contrib.admin.utils import (
get_fields_from_path, reverse_field_path
)
from django.db.models.signals import m2m_changed, post_save, pre_delete
from django.utils.encoding import force_text
from django.utils.functional import c... | |
genesets = {
'upregulated': signature[signature[sort_genes_by] > 0].index[:geneset_size],
'downregulated': signature[signature[sort_genes_by] < 0].index[-geneset_size:]
}
# Submit to Enrichr
enrichr_ids = {geneset_label: submit_enrichr_geneset(geneset=geneset, label=signature_label+', '+geneset_label+', from Bulk... | |
# -*- coding: utf-8 -*-
# pylint: disable=too-many-lines
import heapq
from binascii import hexlify
from collections import namedtuple
from raiden.encoding.signing import recover_publickey
from raiden.transfer.architecture import TransitionResult
from raiden.transfer.balance_proof import signing_data
from raiden.transf... | |
self.container47['pady'] = 8
self.container47.pack()
self.lblc63_1_1 = Label(self.container47)
self.lblc63_1_1['text'] = ('63 - Agente Etiológico - RT-PCR/outro método por Biologia Molecular ' +
'Positivo para Influenza? (1 - Sim, 2 - Não, 9 - Ignorado): ')
self.lblc63_1_1.pack(side=LEFT)
self.txtc63_1_1 = Entr... | |
self.register_instruction(SW(reg, "0($sp)"))
self.used_registers[reg] = False
@visit.register
def _(self, node: cil.ReturnNode):
# Generar dos formas de codigo en dependencia de si se devuelve un valor o no
self.add_source_line_comment(node)
val = node.value
if val is not None:
if isinstance(val, LocalNode):
... | |
# -*- coding: utf-8 -*-
import sys
import time
import httplib2
AUTO_RECONNECT_TIMES = 5
crawl_tips_json = {}
SERVER = 'http://api.cn.faceplusplus.com/'
category_Arts_Entertainment = ['Aquarium', 'Arcade', 'Art Gallery', 'Bowling Alley', 'Casino', 'Circus', 'Comedy Club',
'Concert Hall', 'Country Dance Club', 'Disc... | |
: dict
The updated original dictionary
"""
# Iterate over key value pairs in the new dictionary to merge into the original
for key, val in new_dict.items():
# If a mapping object (e.g. dictionary) call the function recursively
if isinstance(val, Mapping):
tmp = update_dict(orig_dict.get(key, {}), val)
orig_dic... | |
# coding=utf-8
"""
Modelos de datos básicos para calcular los Tipos de Instalacion.
"""
class Linea(object):
"""
Objeto que reperesenta una linea
Podemos obtener el Tipo de Instalcion creando un objeto linea, assignando
los
linea = Linea()
# TODO: Explicar dev
"""
def __init__(self):
self.tension = None... | |
0.434294481903252*log(1 + 22.9527167938577*m.b217) + 0.434294481903252*log(1 + 6.55753492060242*
m.b218) + 0.434294481903252*log(1 + 0.57750965326708*m.b219) + 0.434294481903252*log(1 +
1.17445395540411*m.b220) + 0.434294481903252*log(1 + 5.58082608780692*m.b221) +
0.434294481903252*log(1 + 8.54665307162323*m.b2... | |
"""
Abstract conv interface
"""
from __future__ import absolute_import, print_function, division
import logging
from six import reraise, integer_types
import sys
import theano
from theano.tensor import as_tensor_variable, patternbroadcast
from theano.tensor import get_scalar_constant_value, NotScalarConstantError
fr... | |
a BGP backdoor route
type: bool
route_map:
description: Route-map to modify the attributes
type: str
redistribute:
description: Redistribute information from another routing protocol
type: list
elements: dict
suboptions:
application:
description: Application
type: dict
suboptions:
name:
description: Appl... | |
tile coordinates to Microsoft QuadTree"
quadKey = ""
ty = (2**zoom - 1) - ty
for i in range(zoom, 0, -1):
digit = 0
mask = 1 << (i-1)
if (tx & mask) != 0:
digit += 1
if (ty & mask) != 0:
digit += 2
quadKey += str(digit)
return quadKey
class Point:
def __init__(self):
self.x = 0.0
self... | |
import aiohttp
import asyncio
import contextlib
import functools
import sys
import zlib
from collections.abc import Iterable, Mapping
from datetime import date as Date
from lxml import etree, objectify
from types import MappingProxyType
from typing import (
Any as _Any,
AsyncGenerator as _AsyncGenerator,
... | |
the value of target.
Args:
target: the target to which the framebuffer is bound for
glcheckframebufferstatus, and the target against which framebuffer
completeness of framebuffer is checked for
glchecknamedframebufferstatus.
'''
@accepts(t.bitfield)
@returns(t.void)
@binds(dll)
def clear(mask):
'''
clear buf... | |
!= self.object.author:
context["auth_user"] = self.request.user
# Add previous and next activities in the context
context["next_course_activity"] = CourseActivity.objects.filter(
course=self.object, rank=course_activity.rank + 1
).first()
context["previous_course_activity"] = CourseActivity.objects.filter(
cour... | |
%d, '%s', '%s')"
% (target_item.stack_id,
target_item.branch_id,
source_row['aadt'],
source_row['aadt_year'],
source_row['aadt_type'],
source_row['last_modified'],
))
self.insert_aadts.append(insert_aadt)
self.stats['items_clone_aadt'] += 1
#
def merge_byway_ratings(self, shpfeat, target_item, source_item):... | |
<reponame>calearning/testGithubClone<gh_stars>1-10
from __future__ import print_function, division
import imgaug as ia
from imgaug import augmenters as iaa
from imgaug import parameters as iap
import numpy as np
from scipy import ndimage, misc
#from skimage import data
#import matplotlib.pyplot as plt
#from matplotlib ... | |
7967 2.443706759489844288902124937428528E-4797 1.221853379744922144451062468714264E-4797
7968 6.10926689872461072225531234357132E-4798 3.05463344936230536112765617178566E-4798
7969 1.52731672468115268056382808589283E-4798 7.63658362340576340281914042946415E-4799
7970 3.818291811702881701409570214732075E-4799 1.90... | |
<reponame>hat-open/hat-aio
import asyncio
import collections
import signal
import subprocess
import sys
import threading
import time
import unittest.mock
import pytest
from hat import aio
pytestmark = pytest.mark.asyncio
async def test_first():
queue = aio.Queue()
queue.put_nowait(1)
queue.put_nowait(2)
queue... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.