input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
#
# Copyright (c) SAS Institute 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | |
- name: query_body
# in: body
# description: 日志查询条件
# required: true
# type: json
# responses:
# '200':
# description: 返回点击列表
# schema:
# $ref: '#/definitions/clickItems'
# default:
# description: Error
# schema:
# $ref: '#/definitions/Error'
# """
# query_body = json.loads(self.request.body)
# from_time = query_body.g... | |
"""
def __init__(self):
r"""
:param IssueTypes: 异常详情。
:type IssueTypes: list of IssueTypeInfo
:param EventsTotalCount: 异常事件总数。
:type EventsTotalCount: int
:param HealthScore: 健康得分。
:type HealthScore: int
:param HealthLevel: 健康等级, 如："HEALTH", "SUB_HEALTH", "RISK", "HIGH_RISK"。
:type HealthLevel: str
"""
sel... | |
> len(self.X_train):
self.y_train = self.y_train.iloc[len(self.y_train)-len(self.X_train):]
# If this is a Keras estimator, we require the preprocessing to return a data frame instead of a numpy array
prep_return = 'df' if self.model.using_keras else 'np'
# Construct the preprocessor
prep = Preprocessor(self.mod... | |
start ( )
if 64 - 64: Ii1I / i1IIi % I1IiiI - o0oOOo0O0Ooo
if 11 - 11: I1ii11iIi11i - OoooooooOO
if 16 - 16: IiII % OoooooooOO - ooOoO0o * Ii1I - Ii1I
if 27 - 27: IiII + iIii1I11I1II1 / Oo0Ooo + OoO0O00 % Oo0Ooo + OoO0O00
if 77 - 77: Oo0Ooo * ooOoO0o % Ii1I
if 2 - 2: I11i / Oo0Ooo / Ii1I / I1ii11iIi11i / Oooooooo... | |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Translate messages from files and from agents to the matching engine
@author: ucaiado
Created on 10/24/2016
"""
import pprint
import numpy as np
def translate_trades_to_agent(row, my_book):
'''
Translate the instruction passed by an agent into trades messages to the
... | |
<reponame>JuliaMota/ross<filename>ross/stochastic/st_results.py<gh_stars>0
"""STOCHASTIC ROSS plotting module.
This module returns graphs for each type of analyses in st_rotor_assembly.py.
"""
import numpy as np
from plotly import express as px
from plotly import graph_objects as go
from plotly import io as pio
from p... | |
def __init__(self, units, thetas_dim, device, backcast_length=10, forecast_length=5, nb_harmonics=None):
if nb_harmonics:
super(SeasonalityBlock, self).__init__(units, nb_harmonics, device, backcast_length,
forecast_length, share_thetas=True)
else:
super(SeasonalityBlock, self).__init__(units, forecast_length, dev... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#---------------------------------------------------------------------------------
#
# ,--.
# | |-. ,---. ,---. ,--.--.,--,--,
# | .-. '| .-. :| .-. || .--'| \
# | `-' |\ --.' '-' '| | | || |
# `---' `----' `---' `--' `--''--'
#
# file: nested_tree_test
# desc: This test wi... | |
<reponame>SpillChek2/tfrs
"""
REST API Documentation for the NRS TFRS Credit Trading Application
The Transportation Fuels Reporting System is being designed to streamline compliance reporting for transportation fuel suppliers in accordance with the Renewable & Low Carbon Fuel Requirements Regulation.
OpenAPI spec ... | |
#!/usr/bin/env python3
"""
See freq_response.md for details
"""
from dataclasses import dataclass
import fractions
import math
from typing import Iterable, Optional, Tuple, Union
import numpy as np
from analysis import linearity, time_domain_response
from utils import utils
from unit_test import unit_test
from pro... | |
src, 'target': targ} for src, targ, attrs in netx_edges]
edge_df = pd.DataFrame.from_records(netx_edge_list)
# TODO: This will blow if there are no edges or no nodes ... so will create_network_from_igraph() ... will R blow, too?
# Make sure critical attributes are strings
node_df['name'] = node_df['name'].astype(... | |
# -*- coding: utf-8 -*-
# cython: language_level=3
# BSD 3-Clause License
#
# Copyright (c) 2020-2022, Faster Speeding
# 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 sour... | |
- m.x1051 == 0)
m.c718 = Constraint(expr= m.x520 - m.x1052 - m.x1053 - m.x1054 - m.x1055 - m.x1056 - m.x1057 - m.x1058 == 0)
m.c719 = Constraint(expr= m.x521 - m.x1059 - m.x1060 - m.x1061 - m.x1062 - m.x1063 - m.x1064 - m.x1065 == 0)
m.c720 = Constraint(expr= m.x522 - m.x1066 - m.x1067 - m.x1068 - m.x1069 - m.x1070 ... | |
"""
Copyright 2021 Novartis Institutes for BioMedical Research 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
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicabl... | |
if self.isValidValue(v):
vl.append(self.citems[v])
continue # end of while(v)
if self.sweepRange[1] - v > 0:
if self.isValidValue(v):
vl.append(self.citems[v])
else:
return vl
else:
for v in self.valList:
if self.isValidValue(v):
vl.append(self.citems[v])
return vl
return vl
def calcCaseNum(self):
"""
... | |
# Copyright 2009 Google 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | |
import re
import logging
from datetime import datetime
from sqlalchemy import func, or_, DATE
from dataactcore.models.domainModels import Zips, CityCode, ZipCity, DUNS
from dataactcore.models.stagingModels import PublishedAwardFinancialAssistance
from dataactcore.models.lookups import (ACTION_TYPE_DICT, ASSISTANCE_TY... | |
<filename>pyNA/src/aircraft.py
import pdb
import json
import numpy as np
import pandas as pd
from dataclasses import dataclass
from pyNA.src.settings import Settings
from scipy import interpolate
@dataclass
class Aircraft:
"""
Aircraft class containing vehicle constants and aerodynamics data.
"""
# Vehicle param... | |
Nyinchung Monastery',
'Chharka Bon Monastery',
'Dolpo Zhur monastery',
'Myanmar Monastery',
'Dolpo Menmo monastery',
'SHIMEN MONASTERY',
'Drakngon Pema Choeling Monastery',
'Dolpo Jampa monastery',
'Dolpo Jaglung Ladang monastery',
'Choejung Palri Monastery',
'New Hungtram monastery',
'Namgung Monastery',
'Pema Dechan ... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
@Autor: <NAME>
@Tema: Pronosticador del Futbol Ecuatoriano
@Descripcion: Genere el archivo de respuesta html, la información contenida en una instancia de la clase info_liga
'''
import recoleccion_info
import graficos_liga
import os
import sys
# CLASE VOLCADO INFO
cl... | |
# Copyright (C) 2020 GreenWaves Technologies, SAS
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# This progra... | |
key in enumerate(pos_labels[:-2]):
pos_sliders[key] = widgets.IntSlider(value=0, min=0, max=pos_dims[ikey] - 1,
step=1, description='{} Step:'.format(key),
continuous_update=False)
def update_sho_plots(sho_quantity, step_ind):
bias_slider.set_xdata((step_ind, step_ind))
spatial_dict[step_chan] = [step_ind]
spat... | |
<reponame>alexbowers/pulumi-aws
# 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... | |
<filename>time_series/time_series.py
#!/usr/bin/env python
# coding: utf-8
# # Project description
#
# Sweet Lift Taxi company has collected historical data on taxi orders at airports. To attract more drivers during peak hours, we need to predict the amount of taxi orders for the next hour. Build a model for such a p... | |
check was introduced.
"""
previous_last_logged_in_datetime = (
user_services.get_user_settings(self.viewer_id).last_logged_in)
self.assertIsNotNone(previous_last_logged_in_datetime)
current_datetime = datetime.datetime.utcnow()
mocked_datetime_utcnow = current_datetime - datetime.timedelta(days=1)
with self.moc... | |
= _bacnet.UNITS_DEGREES_KELVIN_PER_MINUTE
_bacnet.UNITS_DEGREES_FAHRENHEIT_swigconstant(_bacnet)
UNITS_DEGREES_FAHRENHEIT = _bacnet.UNITS_DEGREES_FAHRENHEIT
_bacnet.UNITS_DEGREE_DAYS_CELSIUS_swigconstant(_bacnet)
UNITS_DEGREE_DAYS_CELSIUS = _bacnet.UNITS_DEGREE_DAYS_CELSIUS
_bacnet.UNITS_DEGREE_DAYS_FAHRENHEIT_swigc... | |
gds_collector_=None):
if nodeName_ == 'Id':
value_ = child_.text
value_ = self.gds_parse_string(value_, node, 'Id')
value_ = self.gds_validate_string(value_, node, 'Id')
self.Id = value_
self.Id_nsprefix_ = child_.prefix
elif nodeName_ == 'Description':
value_ = child_.text
value_ = self.gds_parse_string(value... | |
+ 10213.28554621100 * x)
L1 += 0.00000001154 * mu.cost(4.14326179244 + 6261.74020952440 * x)
L1 += 0.00000001306 * mu.cost(3.67645557029 + 2301.58581590939 * x)
L1 += 0.00000001145 * mu.cost(5.12292846748 + 4562.46099302120 * x)
L1 += 0.00000001275 * mu.cost(5.14333847164 + 2693.60159338500 * x)
L1 += 0.0000000091... | |
# 338
None, # 339
None, # 340
None, # 341
None, # 342
None, # 343
None, # 344
None, # 345
None, # 346
None, # 347
None, # 348
None, # 349
None, # 350
None, # 351
None, # 352
None, # 353
None, # 354
None, # 355
None, # 356
None, # 357
None, # 358
None, # 359
None, # 360
None, # 361
None, # 362
N... | |
<reponame>mbosio85/ediva
## how we measure the similarity between two lists w/ IC per each node
## we have a DAG strucutre
## goal is for each Gene !! output a 'semantic distance'
# based on https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2756558/ [but different]
# with this two equal nodes will have distance '0'
# maximu... | |
for the lowest section type, if there are section types in `otext.tf`.
But more types can be declared as verselike, e.g. `halfverse` in the
[bhsa](https://github.com/annotation/app-bhsa/blob/master/code/config.yaml).
---
### `wrap`
Pretty: whether the child displays may be wrapped.
Default:
: boolean
* `true` if... | |
ll > 0.49 * length[ii]:
r = 0.49 * length[ii] / tt[ii]
ll = 0.49 * length[ii]
else:
r = radii[jj][ii]
if ll > 0.49 * length[ii + 1]:
r = 0.49 * length[ii + 1] / tt[ii]
new_points.extend(
r * dvec[ii] / ct[ii]
+ self.polygons[jj][ii]
+ numpy.vstack((r * numpy.cos(a), r * numpy.sin(a))).transpose()
)
else:
n... | |
<gh_stars>1-10
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# SolarEdge ModbusTCP
#
# Source: https://github.com/addiejanssen/domoticz-solaredge-modbustcp-plugin
# Author: <NAME> (https://addiejanssen.com)
# License: MIT
#
"""
<plugin key="SolarEdge_ModbusTCP" name="SolarEdge ModbusTCP" author="<NAME>" version="1.0... | |
jobname="{rulename}.{jobid}",
printreason=False,
quiet=False,
printshellcmds=False,
cluster_config=None,
local_input=None,
restart_times=None,
keepincomplete=False,
):
self.workflow = workflow
super().__init__(
workflow,
dag,
None,
jobname=jobname,
printreason=printreason,
quiet=quiet,
printshellcmds=... | |
},
{
"id": 167,
"atrr": {
"color": "verde",
"size": "xxl",
"brand": "nike",
"precio": 1540
}
},
{
"id": 168,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "blue",
"precio": 4444
}
},
{
"id": 169,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "polo",
"precio": 15000
}
},
{
"id": ... | |
"Finished minimization procedure for experiment {exp_key}.".format(
exp_key=exp_key
)
)
logger.debug("Terminating mongod process.")
mongod_process.terminate()
# cleanup processes, threads and files
_cleanup_processes_files()
return trials
@_cleanup_decorator
def _fmin_parallel(
queue: multiprocessing.Queue... | |
Event.ON_EPOCH_END) \
.with_event_handler(
PlotCustomLinePlotWithLegend(visdom_logger, "Jensen-Shannon Divergence", every=1,
params={"title": "Jensen-Shannon Divergence on test data per Epoch",
"legend": ["Inputs", "Normalized"]}), Event.ON_TEST_EPOCH_END) \
.with_event_handler(
PlotCustomLinePlotWithLegend(visdo... | |
from builtins import isinstance
from copy import copy
from math import ceil
from typing import Union, Tuple
from hwt.code import Switch, Concat
from hwt.hdl.constants import INTF_DIRECTION
from hwt.hdl.frameTmpl import FrameTmpl
from hwt.hdl.transTmpl import TransTmpl
from hwt.hdl.typeShortcuts import vec
from hwt.hdl... | |
"""
Holds all combat effects logic
Inflict is to cause an affliction and add a status effect
Apply is to do something right away
All apply_* functions take these inputs and give these outputs:
apply_*(player: Player, rules: dict, left: bool) -> EffectReturn:
:param player: The player being affected
:param rules: T... | |
invalid type')
def __setitem__(self, idx, value):
if idx < 0:
idx += len(self)
if idx < len(self):
_tsubasa.Slice_int_set(self.handle, idx, value)
return
raise IndexError('slice index out of range')
def __iadd__(self, value):
if not isinstance(value, _collections_abc.Iterable):
raise TypeError('Sl... | |
# -*- coding: utf-8 -*-
import functools
import os
import sys
import time
from operator import itemgetter
import warnings
from threading import Lock
import asyncio
import sqlalchemy
from sqlalchemy import event, inspect, orm
from sqlalchemy.engine.url import make_url
from sqlalchemy.ext.declarative import DeclarativeMe... | |
2*m.b23*m.b163 + 2*m.b23*m.b165 +
2*m.b23*m.b166 + 2*m.b23*m.b168 + 2*m.b23*m.b170 + 2*m.b23*m.b171 - 2*m.b23*m.b173 - 2*m.b23*
m.b176 + 2*m.b23*m.b177 + 2*m.b23*m.b178 - 2*m.b23*m.b181 - 2*m.b23*m.b182 - 2*m.b24*m.b95 - 5
*m.b24 - 2*m.b24*m.b96 - 2*m.b24*m.b97 - 2*m.b24*m.b98 + 2*m.b24*m.b99 + 2*m.b24*m.b100 - 2*
... | |
<filename>packages/gst-editing-services/gst_conan/build/__init__.py
from collections import OrderedDict as odict
from conans import ConanFile
import fnmatch
import os
import re
import shutil
import sys
import traceback
from .PkgConfigFile import PkgConfigFile
from .. import base
from .. import configuration
def cona... | |
* 1j * t_values[37]))
+ (R39 / (1 + w * 1j * t_values[38]))
+ (R40 / (1 + w * 1j * t_values[39]))
+ (R41 / (1 + w * 1j * t_values[40]))
+ (R42 / (1 + w * 1j * t_values[41]))
+ (R43 / (1 + w * 1j * t_values[42]))
+ (R44 / (1 + w * 1j * t_values[43]))
+ (R45 / (1 + w * 1j * t_values[44]))
+ (R46 / (1 + w * 1j * t... | |
in 1.5
Parameters
----------
ax : `Axes`
an Axes instance to plot to
opens : sequence
sequence of opening values
closes : sequence
sequence of closing values
highs : sequence
sequence of high values
lows : sequence
sequence of low values
ticksize : int
size of open and close ticks in points
colorup : c... | |
# A script to help doing the deliveries.
# Now using the Casava directory structure
# The user is asked to provide a project ID, a run name, and an UPPMAX project
import sys
import os
import glob
import re
import grp
from datetime import datetime
import argparse
import stat
from subprocess import check_call, CalledPro... | |
"""
response = yield {
"method": "DOM.copyTo",
"params": filter_none(
{
"nodeId": int(nodeId),
"targetNodeId": int(targetNodeId),
"insertBeforeNodeId": int(insertBeforeNodeId)
if insertBeforeNodeId
else None,
}
),
}
return NodeId(response["nodeId"])
def describe_node(
nodeId: Optional[NodeId] = None,
b... | |
<gh_stars>0
#! /usr/bin/python
#
# Python ctypes bindings for VLC
# Copyright (C) 2009 the VideoLAN team
# $Id: $
#
# Authors: <NAME> <olivier.aubert at liris.cnrs.fr>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the F... | |
int_tx['value'] = csv_tx['value']
int_tx['input'] = csv_tx['input']
int_tx['output'] = csv_tx['output']
int_tx['traceType'] = csv_tx['trace_type']
int_tx['callType'] = csv_tx['call_type']
int_tx['rewardType'] = csv_tx['reward_type']
int_tx['gas'] = csv_tx['gas']
int_tx['gasUsed'] = csv_tx['gas_used']
tx_hash = ... | |
# encoding: utf-8
"""
Tests of fairgraph.electrophysiology module, using a mock Http client
which returns data loaded from the files in the test_data directory.
"""
from fairgraph.base import KGQuery, KGProxy, as_list, Distribution
from fairgraph.commons import BrainRegion, CellType, QuantitativeValue
from fairgraph.c... | |
None
if 'job' in local_var_params:
body_params = local_var_params['job']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501... | |
<gh_stars>1-10
# -*- coding: utf-8 -*-
# Licensed under a MIT style license - see LICENSE.rst
"""Download BOSS data files from a remote server.
The remote module is responsible for downloading data files into a local filesystem
using a directory layout that mirrors the remote data source. Most scripts will
create a s... | |
<reponame>Jmahaja1/genieparser
# Python
import unittest
from unittest.mock import Mock
# ATS
from pyats.topology import Device
# Metaparser
from genie.metaparser.util.exceptions import SchemaEmptyParserError
from genie.libs.parser.junos.show_ldp import (ShowLDPSession,
ShowLdpNeighbor,
ShowLdpSessionIpaddressDetail... | |
# Copyright 2018 Google LLC All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | |
if not self.__bool__():
self.a, self.b, self.c, self.d, self.e = 0, 1, 1, 0, 1
elif int(self) == self:
self.a, self.b, self.c, self.d, self.e = int(self), 1, 1, 0, 1
elif int(self.b) != self.b or int(self.c) != self.c or int(self.d) != self.d or int(self.e) != self.e:
self.a, self.b, self.c, self.d, self.e = self.... | |
preferred_lifetime: The preferred lifetime value for this roaming
host object.
pxe_lease_time: The PXE lease time value for this roaming host
object. Some hosts use PXE (Preboot Execution Environment) to
boot remotely from a server. To better manage your IP resources,
set a different lease time for PXE boot reques... | |
<gh_stars>1-10
#!/usr/bin/env python
import sys
import logging
import argparse
import pandas as pd
from cobindability.BED import compare_bed,peakwise_ovcoef,cooccur_peak,srog_peak
#from cobindability.ovpmi import cal_pmi
from cobindability.bw import bigwig_corr
from cobindability.ovstat import ov_stats
from cobindabil... | |
<filename>h1/api/provider_project_agent_api.py<gh_stars>0
"""
HyperOne
HyperOne API # noqa: E501
The version of the OpenAPI document: 0.1.0
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from h1.api_client import ApiClient, Endpoint as _Endpoint
from h1.model_ut... | |
negotiation are set on the request which will be responded to with the
guarded resource.
"""
renders = []
portal = self.createPortal(
lambda: SillyRealm(
anonymousAvatarFactory=lambda: InspectfulPage(renders)))
channel = self.createGuard(portal)
request = channel.makeFakeRequest(
'%s/?foo=1&bar=2' % self.getG... | |
0.53, 0.2))
fd(1)
color((0.09, 0.22, 0.5))
fd(3)
color((1.0, 1.0, 1.0))
fd(4)
color((0.52, 0.59, 0.74))
fd(1)
color((0.09, 0.22, 0.5))
fd(2)
color((0.98, 0.74, 0.0))
fd(17)
color((0.97, 0.73, 0.0))
fd(1)
color((0.09, 0.22, 0.5))
fd(2)
color((0.0, 0.0, 0.0))
fd(20)
gt(-128.0,17.5)
fd(19)
color((0.09, 0.22, 0.5))
fd(2)
c... | |
key_path = os.path.join(directory, 'skein.pem')
cert_bytes = self._get_bytes('cert')
key_bytes = self._get_bytes('key')
lock_path = os.path.join(directory, 'skein.lock')
with lock_file(lock_path):
for path, name in [(cert_path, 'skein.crt'), (key_path, 'skein.pem')]:
if os.path.exists(path):
if force:
os.unlin... | |
import logging
import math
import os
import pickle
import random
from enum import Enum
from pathlib import Path
from queue import Queue
import numpy as np
import torch
from Utils.data_utils import change_win_to_unix_path_if_needed
class FileSetIterator:
""" An iterator for samples stored in a set of files.
The Fi... | |
(self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('TDdlExecRequest')
if self.protocol_version is not None:
oprot.writeFieldBegin('protocol_version', TType.I32, 1)
oprot.writeI32(self.protocol_version)
oprot.writeFieldEnd()
if self.ddl_type is not None:
oprot.writeFieldBegin('ddl_type', TType.I3... | |
import numpy as np
import pandas as pd
import math
import matplotlib.pyplot as plt
import yfinance as yf
from pandas_datareader import data as web
import datetime as dt
from empyrical import*
import quantstats as qs
from darts.models import*
from darts import TimeSeries
from darts.utils.missing_values import... | |
'status': 'noexec'},
{'date': 'dayb1', 'status': 'warning'},
{'date': 'dayb2', 'status': 'ok'},
{'date': 'dayb3', 'status': 'ok'},
{'date': 'dayb4', 'status': 'ok'},
{'date': 'dayb5', 'status': 'warning'},
{'date': 'dayb6', 'status': 'fail'},
{'date': 'dayb7', 'status': 'ok'},
{'date': 'dayb8', 'status': 'ok'},... | |
horizontal rules between rows in report mode."""
ULC_ICON = wx.LC_ICON
ULC_SMALL_ICON = wx.LC_SMALL_ICON
ULC_LIST = wx.LC_LIST
ULC_REPORT = wx.LC_REPORT
ULC_TILE = 0x10000
ULC_ALIGN_TOP = wx.LC_ALIGN_TOP
ULC_ALIGN_LEFT = wx.LC_ALIGN_LEFT
ULC_AUTOARRANGE = wx.LC_AUTOARRANGE
ULC_VIRTUAL = wx.LC_VIRTUAL
ULC_EDIT_LABELS =... | |
# -*- coding: utf-8 -*-
# Copyright 2018 Cereproc Ltd. (author: <NAME>)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# THIS CODE IS PROVIDE... | |
<filename>LP.py
# -*- coding: utf-8 -*-
"""
This is an implementation of a classical linear program solvable due to the two
-phase simplex algorithm. We assume in the simplex algorithm that the box
restrictions are given as 0 <= x < +inf.
@author: Ina
"""
import numpy as np
from Exceptions import InfeasibleProble... | |
rgb(255, 0, 0); }\n"
"QPushButton:hover { background-color: rgb(255, 255, 255); }"))
self.gb_pb_buy_volume_2_2_5.setText(_fromUtf8(""))
self.gb_pb_buy_volume_2_2_5.setObjectName(_fromUtf8("gb_pb_buy_volume_2_2_5"))
self.gb_pb_buy_volume_row_minus_2_5 = QtGui.QPushButton(self.gb_ETFOrder_5)
self.gb_pb_buy_volume_row... | |
first_record:
msg = ", ".join(data)
datafile.write(", %s" % msg)
else:
first_record = False
msg = ", ".join(data)
datafile.write(msg)
offset += chunk_size
# Close the JSON for this table section
datafile.write("]}")
db.session.execute("DELETE FROM %s WHERE time < :time AND instrument_id = :id" % (table,),
d... | |
<reponame>jasonplato/High_SimulationPlatform
from __future__ import division, print_function, absolute_import
import numpy as np
from highway_env import utils
from highway_env.envs.abstract import AbstractEnv
from highway_env.road.lane import LineType, StraightLane, SineLane, CircularLane
from highway_env.road.road im... | |
<reponame>SimplyVC/panic
import copy
import json
import logging
import unittest
from datetime import datetime
from datetime import timedelta
from unittest import mock
from unittest.mock import call
import pika
import pika.exceptions
from freezegun import freeze_time
from parameterized import parameterized
from src.al... | |
# Copyright 2019 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | |
utils._eval_generic_conditions(
rule, self.course, self.participation,
now_datetime, self.flow_id, self.login_exam_ticket))
def test_if_signed_in_with_matching_exam_ticket(self):
rule = utils.FlowSessionRuleBase()
rule.if_signed_in_with_matching_exam_ticket = True
now_datetime = now() - timedelta(days=2)
# log... | |
= True
timerT = False
while True:
#get wake word
local_request = wake_word(command= 'request')
if voice == True:
text = record_audio()
text = get_text(text)
else:
text = input(f'{local_request.capitalize()}: ')
local_request = wake_word(command= 'request')
text = f'{local_request} {text}'
text = str(text.l... | |
#!/usr/bin/env python3
from nistats import regression
from nistats import reporting
from nistats.design_matrix import make_first_level_design_matrix
import nibabel as nb
import numpy as np
import os, pandas, sys, pdb, argparse, copy, scipy, jinja2
from os.path import join as pjoin
from nilearn import plotting
from nile... | |
import ida_funcs
import ida_bytes
import idc
import ida_search
import idaapi
import ida_xref
import ida_segment
import ida_offset
import ida_kernwin
from idaapi import BADADDR
from ida_search import SEARCH_DOWN, SEARCH_UP
import ida_auto
import IDAPatternSearch_utils.ida_common as ida_common
import sys
import os
impo... | |
<gh_stars>1-10
# encoding: utf8
# Copyright (c) 2020 <NAME> and <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use... | |
+ p + "_val |-> s_eventually(!" + p + "_val || "+handshakes[p]+"));\n")
# Assert liveness!
prop.write("// Assert that every request has a response and that every reponse has a request\n")
prop.write("as__" + name_tid + "_eventual_response: assert property (|" + name_tid + "_sampled |-> s_eventually(" + q + "_val")
... | |
<reponame>thbom001/improver
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# (C) British Crown copyright. The Met Office.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the... | |
#!/usr/bin/env python
''' ---------------- About the script ----------------
Assignment 5: CNNs on cultural image data
This script builds a deep learning model using convolutional neural networks which classify Impressionism paintings by their respective artists. It uses LeNet architecture for CNN.
Preprocessing ... | |
grid
self.ciGui.config(menu=self.menubar)
#instructive labels
self.instructions = Text(self.gridframe, bd=4, width=20, font=('Helvetica', 12), wrap=WORD)
f = open('instructions.txt', 'r')
instruct = f.read()
f.close()
self.instructions.insert('1.0', instruct)
self.i_scroll = Scrollbar(self.gridframe)
self.in... | |
in the LSTM layer
'lr': float
Learning rate
'dropout': float
Dropout in the LSTM layer
'optimizer': class
Keras optimizer function
'losses': func
Keras loss function
'activation': func
Keras activation in each layer
'last_activation': str
Keras activation in the output layer
prop_grid: float
proportion of... | |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import quantipy as qp
from collections import OrderedDict
from quantipy.core.tools.qp_decorators import *
import copy as org_copy
import warnings
import re
from quantipy.core.tools.view.logic import (
has_any, has_all, has_count,
not... | |
argument `machine`.\n"
def test_handle_info_abbreviated(shell):
with patch("hera.debugger.shell.Shell.handle_info") as mock_handle_info:
shell.handle_command("i")
assert mock_handle_info.call_count == 1
def test_handle_list(shell, capsys):
shell.handle_command("list")
captured = capsys.readouterr().out
asser... | |
<filename>BUILDER/tools/toolkit.py
print "Loading libraries"
from PIL import Image,ImageTk,ImagePalette
from ffmpy import FFmpeg
from itertools import chain
import Tkinter as tk
import sys,os,ctypes,subprocess,getopt,shutil,struct,time,colorsys
np = os.path.normpath
cwd = os.getcwd()
TEMP_DIR = np(cwd+"/obj/")
TEMP_... | |
: List[str, ..., str]; default=None
should the stress? be printed; {YES, NO}
None : [NO] * nplies
nsm : float; default=0.
nonstructural mass per unit area
sb : float; default=0.
Allowable shear stress of the bonding material.
Used by the failure theory
ft : str; default=None
failure theory; {HILL, HOFF, TSAI, ... | |
assert "name" not in kw
kw ["name"] = name = self.__class__.__name__.lower ()
self.abbr = name.rsplit ("_", 1) [0]
self.__super.__init__ (** kw)
# end def __init__
def _get_default (self) :
import locale
return locale.getpreferredencoding ()
# end def _get_default
# end class _Encoding_
class _Number_ (_Spec... | |
[[] for _ in range(K)]
for i_state in range(K):
if state_indices[i_state].shape[0] > 0:
state_lens = np.diff(state_indices[i_state][:, 1:3], axis=1)
over_idxs = state_lens > min_threshold
over_threshold_instances[i_state] = state_indices[i_state][over_idxs[:, 0]]
np.random.shuffle(over_threshold_instances[i_state... | |
<reponame>djarpin/sagemaker-python-sdk
# Copyright 2017 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.... | |
- err_q else 180 - err_q
err = [err_t, err_q]
if np.isnan(err_t) or np.isnan(err_q):
print('pose_est=\n', pose2)
print('pose=\n', pose1)
return err
def err_plot():
# Test 1
# Define object points and image points
obj_pts = np.random.randint(-40, 40, [n, 3])
obj_pts = obj_pts.astype(float)
obj_pts[0, :] ... | |
repetition
... numpy.array([0., 1., 2., -1., 0.]), 'test', (-2, 2))
Traceback (most recent call last):
...
RuntimeError: duplicates in test dimension: [0.]
"""
# check for values outside of limits
if limits is not None:
if np.amin(dimension) < limits[0] or np.amax(dimension) > limits[1]:
raise RuntimeError(f"{... | |
<reponame>gorpoorko/Bot-Tcxs-Heroku
# -*- coding: utf-8 -*-
#███╗ ███╗ █████╗ ███╗ ██╗██╗ ██████╗ ██████╗ ███╗ ███╗██╗ ██████╗
#████╗ ████║██╔══██╗████╗ ██║██║██╔════╝██╔═══██╗████╗ ████║██║██╔═══██╗
#██╔████╔██║███████║██╔██╗ ██║██║██║ ██║ ██║██╔████╔██║██║██║ ██║
#██║╚██╔╝██║██╔══██║██║╚██╗██║██║██║ ██║ ██║██║╚██╔╝██... | |
#!/usr/bin/env python
# Licensed under a 3-clause BSD style license, see LICENSE.
"""
Tests for the skhep.math.vectors module.
"""
# -----------------------------------------------------------------------------
# Import statements
# -----------------------------------------------------------------------------
import p... | |
<filename>src/players.py
"""players module.
Used for players data processes
"""
import numpy as np
import pandas as pd
import src.config as config
import src.utilities as utilities
from src.utilities import logging
pd.set_option("display.max_columns", 500)
pd.set_option("display.expand_frame_repr", False)
# master_... | |
from manim_imports_ext import *
import scipy.stats
CASE_DATA = [
9,
15,
30,
40,
56,
66,
84,
102,
131,
159,
173,
186,
190,
221,
248,
278,
330,
354,
382,
461,
481,
526,
587,
608,
697,
781,
896,
999,
1124,
1212,
1385,
1715,
2055,
2429,
2764,
3323,
4288,
5364,
6780,
8555,
10288,
... | |
<reponame>induane/harrenrpg<filename>src/pyscroll/orthographic.py
# Standard
import logging
import math
import time
from itertools import chain, groupby, product
from operator import gt, itemgetter
# Third Party
from pygame import Rect, Surface, transform, SRCALPHA
# Project
from .quadtree import FastQuadTree
from .l... | |
import pandas as pd
import pytest
from config import proteoforms, proteins, genes, sm
from lib.graph_database_access import fix_neo4j_values, get_low_level_pathways, \
get_reactions_by_pathway, get_pathways, get_reactions, get_complexes, get_complex_components_by_complex, \
make_proteoform_string, get_participants_b... | |
#!/usr/bin/python3
import argparse, glob, os, sys, shutil
import datetime, dateutil.parser, pytz, time
import pydoc
import requests, json
import sqlite_api
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.comm... |
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