input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
network and returns behavior traces
:param stimulus: The stimulus to present to the network
:return:
[0]: Behavior instantiations (-1: none, 0: stay, 1: straight, 2: left, 3: right)
[1]: Speed trace
[2]: Angle trace
"""
history = GlobalDefs.hist_seconds*GlobalDefs.frame_rate
step = history
model_in = np.zeros(... | |
assert Task.select().where(Task.task_type == TaskType.FUNDING).count() == 4
task = Task.select().where(Task.task_type == TaskType.FUNDING).order_by(Task.id.desc()).first()
assert task.records.count() == 2
# Activate a single record:
resp = client.post(
"/admin/fundingrecord/action/",
follow_redirects=True,
data... | |
<gh_stars>0
#! usr/bin/env python
import numpy as np
import datetime
import random
import numpy as np
from collections import deque
import json
from collections import defaultdict
from keras.models import model_from_json
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatt... | |
from djitellopy import Tello
import cv2
import socket
import numpy as np
import time
import datetime
import imutils
def rescale_frame(frame, percent=75):
width = int(frame.shape[1] * percent/ 100)
height = int(frame.shape[0] * percent/ 100)
dim = (width, height)
return cv2.resize(frame, dim, interpolation =cv2.IN... | |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy... | |
in self.meal_plans['Present']:
for subitem in self.meal_plans['Present'][item]:
for subsubitem in self.meal_plans['Present'][item][subitem]:
self.totals[i] += int(self.get_nutrient(subsubitem, temp_nutrients[i][0]))
self.totals[i] /= 28
self.totals[i] = int(self.totals[i])
if self.nutrition_labels[i] != None:
se... | |
import numpy as np
import numba
import scipy
import scipy.interpolate
from near_finder.utilities import fourier_derivative_1d
from near_finder.utilities import interp_fourier as _interp
from near_finder.utilities import have_better_fourier
if have_better_fourier:
from near_finder.utilities import interp_fourier2 as _i... | |
<= _text_meter_sofar_size:
_text_meter_total_size = 0
_text_meter_sofar_size = 0
text_progress_meter = TextMeter
class MultiFileHelper(BaseMeter):
def __init__(self, master):
BaseMeter.__init__(self)
self.master = master
def _do_start(self, now):
self.master.start_meter(self, now)
def _do_update(self, amoun... | |
when we attend over the
# span representations that we generate from these indices, we
# need them to be <= 0. This is only relevant in edge cases where
# the number of spans we consider after the pruning stage is >= the
# total number of spans, because in this case, it is possible we might
# consider a masked spa... | |
self.xmu + self.xr
self.ird_min = -999
self.ird_max = 999
self.irq_min = -999
self.irq_max = 999
self.irq_off = zeros(self.n, 1)
self.u0 = mul(self.u, self.ugen)
# self.omega_ref0 = ones(self.n, 1)
self.mva_mega = 100000000.0
def init1(self, dae):
"""New initialization function"""
self.servcall(dae)
retval... | |
promoted if i in multigpu_list] # 2gpu job ['3','3','4','4','10']
demoted_1gpu = [i for i in demoted if i not in multigpu_list] # 1gpu job
demoted_2gpu = [i for i in demoted if i in multigpu_list] # 2gpu job
condition1 = len(K80_avail) >= len(demoted) and 2*len(K80_2gpu) >= len(demoted_2gpu)
condition2 = len(V100_... | |
<reponame>ludaavics/yogam
import codecs
import logging
import re
from enum import Enum
from math import ceil, floor
from typing import (
Any,
Callable,
Dict,
Iterable,
List,
Mapping,
Match,
Optional,
Tuple,
Union,
cast,
)
from urllib.parse import unquote, urljoin, urlparse
import requests
from bs4 import Be... | |
be
monitored, whereas *ALL_OUTPUT_PORTS* specifies that *every* OutputPort of every Mechanism be monitored.
|
The default for the **monitor_for_control** argument is *MonitoredOutputPortsOption.PRIMARY_OUTPUT_PORTS*.
The OutputPorts specified in the **monitor_for_control** argument are added to any already specifie... | |
<filename>src/sqlfluff/parser/segments_common.py
"""Common Segment Definitions.
Here we define:
- KeywordSegment
- ReSegment
These depend on the base segments, and extend them
for some more useful use cases. The intent here is that
these segments have meaning regardless of what dialect
we use, and will be common betw... | |
if stat_set == "1": # stat totals
stat_name = "Stat Total"
test_bounds = (100, 600)
stat_values = loaddata.total_points
stat_stats = loaddata.total_points_stats
unit = ''
elif stat_set == "2": # hp
stat_name = "HP"
test_bounds = (20, 256)
stat_values = loaddata.hp
stat_stats = loaddata.hp_stats
unit = ''
el... | |
#!/usr/bin/env python
# Copyright (c) 2007-2008 ActiveState Software Inc.
# License: MIT (http://www.opensource.org/licenses/mit-license.php)
"""Test the Python markdown2.py."""
import os
import sys
from os.path import join, dirname, abspath, exists, splitext, basename
import re
from glob import glob
from pprint impo... | |
database, if project
data base does not exist, throw an exception
inputs:
fileName = name of raw telemetry data file with full directory and extenstion
dbName = name of project database with full directory and extension
recName = official receiver name'''
# declare the workspace - in practice we will identify a... | |
# Importations
from keras.applications import ResNet50, VGG16, imagenet_utils
from sklearn.preprocessing import LabelEncoder
from keras.preprocessing.image import img_to_array, load_img
from keras.utils import to_categorical
from imutils import paths
import numpy as np
import pickle
import random
import os
# Extract ... | |
from multiprocessing.sharedctypes import Value
import pandas as pd
from pyomo.environ import *
from pyomo.environ import units as pyunits
# from pyomo.repn.plugins.baron_writer import NonNegativeReals
from watertap3.utils import financials
from watertap3.wt_units.wt_unit import WT3UnitProcess
import idaes.core.util.sc... | |
<reponame>GavinPass/dash-sample-apps
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import pyvista as pv
import xarray as xr
from jupyter_dash import JupyterDash
import dash
import dash_html_components as html
import vtk
import dash_vtk
from dash_vtk.utils import... | |
# 查询文档信息
project = Project.objects.get(id=doc.top_doc) # 查询文档所属的文集信息
pro_colla = ProjectCollaborator.objects.filter(project=project, user=request.user) # 查询用户的协作文集信息
if (request.user == doc.create_user) or (pro_colla[0].role == 1):
history = DocHistory.objects.get(id=his_id)
if history.doc == doc:
return JsonResp... | |
<gh_stars>1-10
# -*- coding: utf-8 -*-
########################################################################################################################
#
# Copyright (c) 2018, Regents of the University of California
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without mo... | |
<reponame>razariah/UC_BERKELEY_DATA_ANALYTICS<filename>3_Py_Poll_with_Python/Python_practice.py
print(type(3))
ballots = 1341
type("Hello World")
type(True)
num_candidates = 3
winning_percentage = 73.81
candidate = "Diane"
won_election = True
print(num_candidates)
print(winning_percentage)
print(c... | |
# simulation object contains the current state of the simulation.
# It is analogous to the "bundle" object in the original FMS code.
import os
import shutil
import time
import copy
import types
import numpy as np
import h5py
import numpy.linalg as la
from pyspawn.fmsobj import fmsobj
from pyspawn.traj import traj
impo... | |
from numpy import random, mean
#note: Project completed with the use of lecture notes, notes from TA discussion section,
#and work on past assignements
#note: The provided code shows +2 results over number of itterations shown,
# and if I run world.run() without running the rest of the code the output in incorrect... | |
# -*- coding:utf-8 -*-
#
# Copyright (C) 2008 The Android Open Source Project
#
# 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 require... | |
#!/usr/bin/python3
'''
* Copyright (C) 2021 <NAME>
*
* This software may be modified and distributed under the terms
* of the MIT license. See the LICENSE.txt file for details.
'''
##################
#Needed libraries#
##################
import matplotlib as mpl
mpl.use('TkAgg')
import matplotlib.pyplot as plt
i... | |
matching criteria
matchLevel = self.searchMatchLevels[resolvedEntityMatchInfo['MATCH_LEVEL']]
matchKey = resolvedEntityMatchInfo['MATCH_KEY']
ruleCode = resolvedEntityMatchInfo['ERRULE_CODE']
#--scoring
bestScores = {}
bestScores['NAME'] = {}
bestScores['NAME']['score'] = 0
bestScores['NAME']['value'] = ''
for... | |
"""Neighbor models for regression."""
from .base import (NeighborsBase, KNeighborsMixin, RadiusNeighborsMixin,
NeighborsRegressorMixin)
class KNeighborsRegressor(NeighborsBase, NeighborsRegressorMixin,
KNeighborsMixin):
"""Regression based on k-nearest neighbors.
Regression with scalar, multivariate or function... | |
import time
import math
from dronekit import *
from pymavlink import mavutil
"""
Most functions come from examples from dronekit, specifically the guided example
http://python.dronekit.io/examples/guided-set-speed-yaw-demo.html#guided-example-source-code
"""
def arm_and_takeoff(vehicle, aTargetAltitude):
"""
Arms v... | |
<reponame>h4yn0nnym0u5e/OSCAudio<gh_stars>1-10
import re
import fileinput
import os
import json
##############################################################################################
# User settings
dynamic = True
ftrl = ['play_wav' # files to reject
]
limit = 1000
rp = '../../Audio'
idxf = '../../Audio/gui... | |
"0",
# "http": { "_datetime": " May 14 10:46:59", "_ident": "1829102019201192", "_type": "http", "method": "GET",
# "usergaent": "Mozilla Firefix 1.0", "cookie": "1029100929101834810380101308084745785723978",
# "fullurl": "https://www.adisa.com/index.html"} } } } }
#
def insertIPTCPHTTP(self, jdata, digest):
d... | |
# This file is part of the sphinx-cmake_domain Sphinx extension.
# See <https://github.com/marcokoch/sphinx-cmake_comain> for recent information.
#
# # Copyright 2020 <NAME>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are m... | |
<reponame>orbitalturtle/python-teos
import pytest
from multiprocessing import Event
from shutil import rmtree
from teos.api import API
import common.errors as errors
from teos.watcher import Watcher
from teos.inspector import Inspector
from teos.gatekeeper import UserInfo
from teos.internal_api import InternalAPI
from... | |
<reponame>esoma/woosh<filename>test/python/sample/stdlib/test_operator.py<gh_stars>0
# this file was generated using test/python/sample/generate.py
# python
import io
import pathlib
# pytest
import pytest
# woosh
import woosh
def tokenize_file_like(source):
return list(woosh.tokenize(io.BytesIO(source)))
def token... | |
.. ... 'axis': 'Y'},
.. ... data=cf.Data([15, 45, 75]),
.. ... bounds=cf.Bounds(data=cf.Data([[0, 30], [30, 60], [60, 90]]))
.. ... ),
.. ... axes=f.set_construct(cf.DomainAxis(size=3))
.. ... )
.. >>> lon = f.set_construct(
.. ... cf.DimensionCoordinate(
.. ... properties={'standard_name': 'longitude',
.. ...... | |
'0'
else:
string += str(letter)
return string
def channels_preview_update(self):
if not (isinstance(self.gl.pyimage, list) and len(self.gl.pyimage) != 0):
return
pyimage = self.gl.pyimage[0]
if self.gl.input_format_24bit.get():
pyimage = swap_channels24_c(pyimage, self.channel_get_mode())
pyim... | |
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
from scipy.optimize import curve_fit
from scipy import integrate
from matplotlib import ticker
%matplotlib notebook
plt.rcParams['figure.dpi']=150
plt.rcParams['figure.figsize']=(6,4)
def XASload(dir,de,ate,ext,interp,groupA,grou... | |
3] - gt_box[:, 1]
gt_center_y = gt_box[:, 0] + 0.5 * gt_height
gt_center_x = gt_box[:, 1] + 0.5 * gt_width
dy = (gt_center_y - center_y) / height
dx = (gt_center_x - center_x) / width
dh = np.log(gt_height / (height + eps))
dw = np.log(gt_width / (width + eps))
return np.stack([dy, dx, dh, dw], axis=1)
def c... | |
0 && b < 0 && a >= sum)
# sum = INT64_MAX;
# }
#
# Optimizations similar to the iadd_sat case are applied here.
(('isub_sat@64', a, b), ('bcsel',
('iand', ('iand', ('ilt', a, 0), ('ige', b, 0)), ('ige', ('isub', a, b), 0)),
0x8000000000000000,
('bcsel',
('ior', ('ior', ('ilt', a, 0), ('ige', b, 0)), ('ige', ('... | |
import sys
import six
import threading
import traceback
from queue import PriorityQueue
from collections import namedtuple
from datetime import datetime, timedelta
import pytz
import html
from sqlalchemy import Column, Integer, ForeignKey, Unicode, Enum, func
from monitorrent.db import Base, DBSession, row2dict, UTC... | |
<reponame>zeou1/maggot_models<gh_stars>0
import math
from collections import defaultdict
from operator import itemgetter
import colorcet as cc
import matplotlib
import matplotlib.colors as mplc
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
import pandas as pd
import seaborn as sns
from matpl... | |
torch.no_grad():
pto = pt_model(**pt_inputs_dict)
tfo = tf_model(self._prepare_for_class(inputs_dict, model_class))
tfo = tfo[0].numpy()
pto = pto[0].numpy()
tf_nans = np.copy(np.isnan(tfo))
pt_nans = np.copy(np.isnan(pto))
pto[tf_nans] = 0
tfo[tf_nans] = 0
pto[pt_nans] = 0
tfo[pt_nans] = 0
max_diff = np.a... | |
LB_ID, LISTENER_ID, APP_PROFILE_ID,
LB_VS_ID)
mock_create_pp.assert_called_once()
mock_successful_completion = (
self.lbv2_driver.listener.successful_completion)
mock_successful_completion.assert_called_with(self.context,
listener,
delete=False)
def test_create_listener_with_session_persistence_fail(self):
li... | |
color:#a5c261;">\'color\'</span><span style=" font-family:\'Co' \
'nsolas\'; font-size:9.8pt; color:#a9b7c6;">: [</span><span style=" font-family:\'Consolas\'; font-si' \
'ze:9.8pt; color:#6897bb;">40</span><span style=" font-family:\'Consolas\'; font-size:9.8pt; color:#c' \
'c7832;">, </span><span style=" font-f... | |
/ SOURCES_DIR_NAME},
'LOGS_DIR': {'default': lambda c: c['OUTPUT_DIR'] / LOGS_DIR_NAME},
'CONFIG_FILE': {'default': lambda c: Path(c['CONFIG_FILE']).resolve() if c['CONFIG_FILE'] else c['OUTPUT_DIR'] / CONFIG_FILENAME},
'COOKIES_FILE': {'default': lambda c: c['COOKIES_FILE'] and Path(c['COOKIES_FILE']).resolve()},
... | |
# Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is govered by a BSD-style
# license that can be found in the LICENSE file or at
# https://developers.google.com/open-source/licenses/bsd
"""Unittests for monorail.tracker.issuedetail."""
import logging
import mox
import time
import ... | |
<reponame>4ekin/raw-packet<filename>raw_packet/Scanners/scanner.py
# region Description
"""
scanner.py: Scan local network
Author: <NAME>
License: MIT
Copyright 2020, Raw-packet Project
"""
# endregion
# region Import
# region Raw-packet modules
from raw_packet.Utils.base import Base
from raw_packet.Scanners.arp_scan... | |
import typing
import discord
import asyncio
import re
from discord.ext import commands
from collections import Counter
from utilities import decorators
from utilities import converters
from utilities import checks
from utilities import helpers
def setup(bot):
bot.add_cog(Server(bot))
class Server(commands.Cog):
"... | |
<reponame>mikan/racm
# -*- coding: utf-8 -*-
###########################################################################
## Python code generated with wxFormBuilder (version Jun 17 2015)
## http://www.wxformbuilder.org/
##
## PLEASE DO "NOT" EDIT THIS FILE!
############################################################... | |
"""
File: gromos++ topo file functions
Warnings: this CLASS IS NOT IMPLEMENTED!
TODO:REWORK
Description:
in this lib, gromos topo file mainpulating functions are gathered
Author: <NAME>, <NAME>
"""
#imports
from copy import deepcopy
from typing import TypeVar, Union
import warnings
import math
from pygromos.utils im... | |
'get_qos_policy_group_name_from_info',
return_value=fake.QOS_POLICY_GROUP_NAME)
self.mock_object(na_utils, 'is_qos_policy_group_spec_adaptive',
return_value=is_adaptive)
self.library._add_lun_to_table = mock.Mock()
self.zapi_client.move_lun = mock.Mock()
mock_set_lun_qos_policy_group = self.mock_object(
self.zap... | |
<reponame>LX-doctorAI/LR1
import numpy as np
from torchvision import datasets, transforms
from tqdm import tqdm
import os
import pickle as pkl
import torch
import pickle
import time
from torch.utils.data import DataLoader, Dataset
from PIL import Image
class FastDataSet(Dataset):
def __init__(self, data_path, label_... | |
new values in text boxes
# Format with 8 decimal places.
#--------------------------------
self.map_minlon.value = "{:.8f}".format( minlon )
self.map_maxlon.value = "{:.8f}".format( maxlon )
self.map_maxlat.value = "{:.8f}".format( maxlat )
self.map_minlat.value = "{:.8f}".format( minlat )
# replace_map_bounds... | |
<reponame>hisiter97/TextRecognitionDataGenerator_Full
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
def concatenate_dict(main_dict, new_dict):
for key in main_dict.keys():
main_dict[key] += [new_dict[key]]
def mixture_of_bivariate_normal_nll(
data, log_pi, mu, log_sigma, rho... | |
<gh_stars>1-10
#
# Copyright 2016-2017 Games Creators Club
#
# MIT License
#
import math
import time
import traceback
import pyroslib
DEBUG_LEVEL_OFF = 0
DEBUG_LEVEL_INFO = 1
DEBUG_LEVEL_DEBUG = 2
DEBUG_LEVEL_ALL = 3
DEBUG_LEVEL = DEBUG_LEVEL_ALL
INITIAL_SPEED = 40
INITIAL_SIDE_GAIN = 0.4
INITIAL_FORWARD_GAIN = 1.... | |
self.__total
def _set_total(self, v, load=False):
"""
Setter method for total, mapped from YANG variable /system/cpus/cpu/state/total (container)
If this variable is read-only (config: false) in the
source YANG file, then _set_total is considered as a private
method. Backends looking to populate this variable s... | |
<reponame>jinxu06/MetaFun-Tensorflow<filename>model.py
from six.moves import zip
import math
from absl import flags
import numpy as np
import tensorflow as tf
import sonnet as snt
from tensorflow.contrib.layers import layer_norm
import data.classification as cls_data
FLAGS = flags.FLAGS
# Model Specification
flags.DEF... | |
of
each sequence must be equal to the length of each sequence of `entity_spans`. If you specify
`entity_spans` without specifying this argument, the entity sequence or the batch of entity sequences
is automatically constructed by filling it with the [MASK] entity.
entities_pair (`List[str]`, `List[List[str]]`, *opt... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Parser
------
Parser for extracting relevant information from Texas Dallas
County Felony and Misdemeanor Courts using regular expressions.
"""
from dallasparser.regex import *
from dallasparser.utils import *
from openpyxl import load_workbook
from dateutil.parser impo... | |
import numpy as np
from itertools import cycle
from numba import jit
from functools import lru_cache
from hierarch.internal_functions import (
nb_unique,
id_cluster_counts,
msp,
set_numba_random_state,
_repeat,
nb_fast_shuffle,
nb_strat_shuffle,
weights_to_index,
)
class Bootstrapper:
"""Bootstrapper(random_... | |
# <NAME>
# <EMAIL>
# November 2014
# Stanford University
# This script calculates H12 and H2/H1 from population genomic data
import sys
from optparse import OptionParser
import copy
import csv
import linecache
import random
import time
import numpy
#import Bio
######################
def clusterSingleWindow(inFile, o... | |
'''
pass
class VIEW3D_MT_view_regions(bpy_types.Menu, bpy_types._GenericUI):
bl_label = None
''' '''
bl_rna = None
''' '''
id_data = None
''' '''
def append(self, draw_func):
'''
'''
pass
def as_pointer(self):
'''
'''
pass
def bl_rna_get_subclass(self):
'''
'''
pass
def bl_rna_get_s... | |
<gh_stars>1-10
# encoding: UTF-8
import zmq
import itchat
import time
import os
import json
from befh.subscription_manager import SubscriptionManager
from befh.OkcoinAPI.OkcoinMarket import OkcoinMarket
from befh.FinexAPI.BitfinexMarket import BitfinexMarket
import logging
import re
import random
import numpy as np
d... | |
<gh_stars>1-10
# -*- coding: iso-8859-1 -*-
"""
This code creates the Results plots for Ranjan & Sasselov 2016b.
"""
########################
###Import useful libraries
########################
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import pdb
from matplotlib.pyplot i... | |
<gh_stars>1-10
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 8 17:55:48 2013
@author: michal
"""
import scipy.interpolate as inter
import numpy as np
import matplotlib.pyplot as plt
import numpy.random
import os
os.system('rm /tmp/fig*')
import vtk
import vtk.util.numpy_support as VN
#G = np.zeros(9)
#G[1:5] = ... | |
# -*- coding: utf-8 -*-
from itertools import product
import os
import uuid
import dask
import dask.array as da
from dask.array.core import normalize_chunks
from dask.highlevelgraph import HighLevelGraph
import numpy as np
from numpy.testing import assert_array_equal, assert_array_almost_equal
import pyrap.tables as ... | |
can you find this man, Mr.
Stone?”
“We’ve got to find him,” Stone returned, “whether we can or not. It’s
really a baffling case. I think we’ve discovered the origin of the fire
in the garage.”
He told the story that Fibsy had learned from the chauffeur, and Keefe
was greatly interested.
“What are the acids?” he aske... | |
#!/usr/bin/env python
"""
This module implements more advanced transformations.
"""
from __future__ import division
__author__ = "<NAME>, <NAME>"
__copyright__ = "Copyright 2012, The Materials Project"
__version__ = "1.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__date__ = "Jul 24, 2012"
import numpy as np
f... | |
<filename>src/geneflow/workflow.py
"""This module contains the GeneFlow Workflow class."""
import time
import copy
import requests
from slugify import slugify
import yaml
from geneflow.log import Log
from geneflow.data import DataSource, DataSourceException
from geneflow.data_manager import DataManager
from geneflo... | |
import copy
from keras import optimizers
from keras import backend as K
from keras import objectives
from keras.models import Model
from keras.layers import Input, Dense, Lambda, LSTM, Concatenate, LeakyReLU
from keras.layers.core import Dense, Activation, Flatten, RepeatVector
from keras.layers.wrappers import TimeDis... | |
<reponame>r-o-b-e-r-t-o/sphinxcontrib-needs
import math
import os
import matplotlib
import numpy
from docutils import nodes
from sphinxcontrib.needs.filter_common import FilterBase, filter_needs
if not os.environ.get("DISPLAY"):
matplotlib.use("Agg")
import hashlib
from docutils.parsers.rst import directives
from... | |
'0277-1691',
'1432-5195': '0341-2695',
'1943-2836': '0020-7284',
'1439-3964': '0172-4622',
'1473-5660': '0342-5282',
'1873-6386': '0160-2527',
'1872-8464': '0165-5876',
'1563-5279': '0020-7454',
'1873-491X': '0020-7489',
'1879-0135': '0020-7519',
'1573-2630': '0165-5701',
'1541-3527': '0091-2174',
'1745-831... | |
!= METHOD_HEAD) \
or (response.status in (301, 302) and response.method == METHOD_POST):
method = METHOD_GET
data = None
content_length = headers.get(CONTENT_LENGTH, None)
if (content_length is not None) and content_length:
del headers[CONTENT_LENGTH]
redirect_url = response.headers.get(LOCATION, None)
if r... | |
<filename>apcupsd.indigoPlugin/Contents/Server Plugin/plugin.py<gh_stars>1-10
#! /usr/bin/env python
# -*- coding: utf-8 -*-
####################
# Copyright (c) 2013, <NAME> All rights reserved.
# with much credit to <NAME> (kormoc) -- https://github.com/BrightcoveOS/Diamond/blob/master/src/collectors/apcupsd/apcupsd.... | |
import os
import pandas
from BirdRoostDetection.ReadData import Labels
import numpy as np
from BirdRoostDetection import utils
from BirdRoostDetection.PrepareData import NexradUtils
class Batch_Generator():
"""This class organized the machine learning labels and creates ML batches.
Class Variables:
self.root_dir:... | |
end)]
if 'STRAIGHT' in self.nose_type or 'OPEN' in self.steps_type:
# face bottom
matids.append(self.idmat_bottom)
faces.append((f + end, f + start, f + offset + start, f + offset + end))
uvs.append([(u, v), (u, 0), (0, 0), (0, v)])
if self.steps_type != 'OPEN':
if 'STRAIGHT' in self.nose_type:
# front face b... | |
<reponame>netMedi/hl7apy
# -*- coding: utf-8 -*-
#
# Copyright (c) 2012-2018, CRS4
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the righ... | |
points.append(seg.c1)
shape = Shape(points)
shapes.append(shape)
points = []
if len(points) > 0:
points.append(self.c1)
shape = Shape(points)
shapes.append(shape)
def add_points(self):
"""
add points from intersection data
"""
points = []
if self.nbsegs > 0:
for seg in self._segs:
points.append(seg.c0)
... | |
null=True, on_delete=models.SET_NULL, help_text="Цель посещения")
fin_source = models.ForeignKey(IstochnikiFinansirovaniya, default=None, blank=True, null=True, on_delete=models.SET_NULL, help_text="Перезаписать источник финансирования из направления")
first_time = models.BooleanField(default=False, help_text="Впервы... | |
ColumnFilter(hxl.data(url), include_tags=['org', 'sector', 'activity'])
# or
filter = hxl.data(url).with_columns(['org', 'sector', 'activity'])
@see: L{RowFilter}
"""
def __init__(self, source, include_tags=[], exclude_tags=[], skip_untagged=False):
"""Construct a column filter.
@param source: a L{hxl.model... | |
<reponame>HighEloDevs/atus_tests
# -*- coding: utf-8 -*-
"""
MIT License
Copyright (c) 2021 <NAME>, <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 l... | |
<gh_stars>10-100
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overlo... | |
= {
'server': {
'name': 'no-personality-files',
'imageRef': '6b0edabb-8cde-4684-a3f4-978960a51378',
'flavorRef': '2',
'networks': 'auto',
'personality': [{
'path': '/path/to/file',
'contents': 'ZWNobyAiaGVsbG8gd29ybGQi'
}]
}
}
req = fakes.HTTPRequestV21.blank('/servers', version='2.57')
req.body = jsonutil... | |
"""
usage: train.py [options]
options:
--config=<path> path of the config file
--checkpoint-dir=<dir> directory where to save checkpoint
--checkpoint=<path> path of the checkpoint from which the model is restored
--weight-loss=<list> list of weights in loss function
--loss=<string> names of loss function
--stride-mod... | |
None if not set
"""
return self["Distance from Top of Thermal Chimney to Inlet 15"]
@distance_from_top_of_thermal_chimney_to_inlet_15.setter
def distance_from_top_of_thermal_chimney_to_inlet_15(self, value=None):
"""Corresponds to IDD field `Distance from Top of Thermal Chimney to
Inlet 15`"""
self["Distance f... | |
self.rpnLsb[channel]==self.rpnMsb[channel]==0:
self.semitoneRange[channel]=value
def patch_change(self, channel, patch): pass
def channel_pressure(self, channel, pressure): pass
def pitch_bend(self, channel, value):
# Pitch bend is sometimes used for slurs
# so we'd better interpret it (only MSB for now; fu... | |
#!/usr/bin/env python3
""" Command Line Arguments """
import argparse
import logging
import os
import platform
import re
import sys
import textwrap
from importlib import import_module
from lib.logger import crash_log, log_setup
from lib.utils import safe_shutdown
from lib.model.masks import get_available_masks, get_d... | |
from ..v2019_07_01.aio.operations_async import AzureFirewallFqdnTagsOperations as OperationClass
elif api_version == '2019-08-01':
from ..v2019_08_01.aio.operations_async import AzureFirewallFqdnTagsOperations as OperationClass
elif api_version == '2019-09-01':
from ..v2019_09_01.aio.operations_async import AzureFi... | |
# -*- coding: utf-8 -*-
"""Graph traversal methods."""
from typing import Any, Dict, Iterable, Tuple, List, Union
from networkx import DiGraph
__all__ = [
'compute_all_paths_multitarget',
'compute_all_paths_multitarget_dict',
]
def _compute_all_paths_multitarget(graph, source, targets, history, lmax):
"""Compu... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Jan 2018
hacer calib extrisneca con pymc3
@author: sebalander
"""
# %%
# import glob
import os
import corner
import time
import seaborn as sns
import scipy as sc
import scipy.stats as sts
import matplotlib.pyplot as plt
from copy import deepcopy as dc
imp... | |
sage: X(q)
(-2, 3)
"""
if isinstance(coords, ManifoldPoint):
point = coords # for readability
# This should actually never happen by the coercion framework...
if point.parent() is self:
return point
if point in self:
resu = self.element_class(self, name=point._name,
latex_name=point._latex_name)
for chart, ... | |
from detectron2.utils.logger import setup_logger
setup_logger()
import cv2, os, re
import numpy as np
from detectron2.engine import DefaultPredictor
from detectron2.config import get_cfg
from densepose.config import add_densepose_config
from densepose.vis.extractor import DensePoseResultExtractor
import torch
import a... | |
job_run["StartedOn"]
end = job_run["CompletedOn"] if "CompletedOn" in job_run else None
execution_details = ComputeExecutionDetails(start, end, dict(job_run))
session_state = get_glue_job_run_state_type(job_run)
if session_state == ComputeSessionStateType.FAILED:
failure_type = get_glue_job_run_failure_type(job_r... | |
"""
Each source in a data set has file(s) that contain keys and meta info file.
To read from a dataset, supply the path to a meta file to DataSet.prepare().
To read multiple data sets, use DataSet.find().
Then get a DataSetIterator using DataSet.iterator().
To output keys, use Writer.import_meta() with the proper Da... | |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'main_window.ui'
#
# Created by: PyQt5 UI code generator 5.12.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.s... | |
<filename>unit.py
import database as d
import jobs as j
import incubator as inc
import bigData as big
import staff
import copy
import math
#Not all units, but all units you can create (no house, church)
def all_units():
unit_list = [Farm, Mill, Brewery, Bakery, Lumberyard, Joinery]
return unit_list
#units use Busi... | |
<gh_stars>1-10
"""Test ``sfini.state._state``."""
from sfini.state import _state as tscr
import pytest
from unittest import mock
from sfini.state import _base
import datetime
import sfini
class TestFail:
"""Test ``sfini.state._state.Fail``."""
@pytest.fixture
def state(self):
"""An example Fail instance."""
ret... | |
this
task, but it will have to be done in that separate process, because its
results can't be serialized and transmitted. (On the other hand, if we
have a dependent task to run *in this same process*, we'll want to bring
this task to the CACHED level instead.) As with (a), for a task with
non-persistable output, t... | |
noise', 'Outlet valve closure noise']
add_cyl_num=['Exhaust temperature','Exhaust temperature delta', 'Ignition voltage', 'ITP','Knock integrator','Knock noise', #'Exhaust temperature delta' added for delta to mean value
'Pressure 49° before TDC', 'Mechanical noise', 'Cylinder state', 'Close current gradient',
'Inle... |
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