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magenta/models/onsets_frames_transcription/infer.py | zhangxu999/magenta | 17 | 69732 | # Copyright 2020 The Magenta Authors.
#
# 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, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Lint as: python3
"""Inference for onset conditioned model.
A histogram summary will be written for every example processed, and the
resulting MIDI and pianoroll images will also be written for every example.
The final summary value is the mean score for all examples.
"""
import collections
import functools
import os
import time
import imageio
from magenta.models.onsets_frames_transcription import constants
from magenta.models.onsets_frames_transcription import data
from magenta.models.onsets_frames_transcription import infer_util
from magenta.models.onsets_frames_transcription import train_util
from note_seq import midi_io
from note_seq import sequences_lib
from note_seq.protobuf import music_pb2
import numpy as np
import six
import tensorflow.compat.v1 as tf
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('master', '',
'Name of the TensorFlow runtime to use.')
tf.app.flags.DEFINE_string('config', 'onsets_frames',
'Name of the config to use.')
tf.app.flags.DEFINE_string('model_dir', None, 'Path to look for checkpoints.')
tf.app.flags.DEFINE_string(
'checkpoint_path', None,
'Filename of the checkpoint to use. If not specified, will use the latest '
'checkpoint')
tf.app.flags.DEFINE_string('examples_path', None,
'Path to test examples TFRecord.')
tf.app.flags.DEFINE_string(
'output_dir', '~/tmp/onsets_frames/infer',
'Path to store output midi files and summary events.')
tf.app.flags.DEFINE_string(
'hparams', '',
'A comma-separated list of `name=value` hyperparameter values.')
tf.app.flags.DEFINE_boolean(
'shuffle_examples', False, 'Whether to shuffle examples.')
tf.app.flags.DEFINE_string(
'log', 'INFO',
'The threshold for what messages will be logged: '
'DEBUG, INFO, WARN, ERROR, or FATAL.')
tf.app.flags.DEFINE_boolean('preprocess_examples', False,
'Whether or not to run preprocessing on examples.')
def model_inference(model_fn,
model_dir,
checkpoint_path,
data_fn,
hparams,
examples_path,
output_dir,
summary_writer,
master,
preprocess_examples,
shuffle_examples):
"""Runs inference for the given examples."""
tf.logging.info('model_dir=%s', model_dir)
tf.logging.info('checkpoint_path=%s', checkpoint_path)
tf.logging.info('examples_path=%s', examples_path)
tf.logging.info('output_dir=%s', output_dir)
estimator = train_util.create_estimator(
model_fn, model_dir, hparams, master=master)
transcription_data = functools.partial(
data_fn, examples=examples_path, preprocess_examples=preprocess_examples,
is_training=False, shuffle_examples=shuffle_examples,
skip_n_initial_records=0)
input_fn = infer_util.labels_to_features_wrapper(transcription_data)
start_time = time.time()
infer_times = []
num_frames = []
file_num = 0
all_metrics = collections.defaultdict(list)
for predictions in estimator.predict(
input_fn, checkpoint_path=checkpoint_path, yield_single_examples=False):
# Remove batch dimension for convenience.
for k in predictions.keys():
if predictions[k].shape[0] != 1:
raise ValueError(
'All predictions must have batch size 1, but shape of '
'{} was: {}'.format(k, + predictions[k].shape[0]))
predictions[k] = predictions[k][0]
end_time = time.time()
infer_time = end_time - start_time
infer_times.append(infer_time)
num_frames.append(predictions['frame_predictions'].shape[0])
tf.logging.info(
'Infer time %f, frames %d, frames/sec %f, running average %f',
infer_time, num_frames[-1], num_frames[-1] / infer_time,
np.sum(num_frames) / np.sum(infer_times))
tf.logging.info('Scoring sequence %s', predictions['sequence_ids'])
sequence_prediction = music_pb2.NoteSequence.FromString(
predictions['sequence_predictions'])
sequence_label = music_pb2.NoteSequence.FromString(
predictions['sequence_labels'])
# Make filenames UNIX-friendly.
filename_chars = six.ensure_text(predictions['sequence_ids'], 'utf-8')
filename_chars = [c if c.isalnum() else '_' for c in filename_chars]
filename_safe = ''.join(filename_chars).rstrip()
filename_safe = '{:04d}_{}'.format(file_num, filename_safe[:200])
file_num += 1
output_file = os.path.join(output_dir, filename_safe + '.mid')
tf.logging.info('Writing inferred midi file to %s', output_file)
midi_io.sequence_proto_to_midi_file(sequence_prediction, output_file)
label_output_file = os.path.join(output_dir, filename_safe + '_label.mid')
tf.logging.info('Writing label midi file to %s', label_output_file)
midi_io.sequence_proto_to_midi_file(sequence_label, label_output_file)
# Also write a pianoroll showing acoustic model output vs labels.
pianoroll_output_file = os.path.join(
output_dir, filename_safe + '_pianoroll.png')
tf.logging.info('Writing acoustic logit/label file to %s',
pianoroll_output_file)
# Calculate frames based on the sequence. Includes any postprocessing done
# to turn raw onsets/frames predictions into the final sequence.
# TODO(fjord): This work is duplicated in metrics.py.
sequence_frame_predictions = sequences_lib.sequence_to_pianoroll(
sequence_prediction,
frames_per_second=data.hparams_frames_per_second(hparams),
min_pitch=constants.MIN_MIDI_PITCH,
max_pitch=constants.MAX_MIDI_PITCH).active
with tf.gfile.GFile(pianoroll_output_file, mode='w') as f:
imageio.imwrite(
f,
infer_util.posterior_pianoroll_image(
predictions['onset_probs'],
predictions['onset_labels'],
predictions['frame_probs'],
predictions['frame_labels'],
sequence_frame_predictions),
format='png')
# Update histogram and current scalar for metrics.
with tf.Graph().as_default(), tf.Session().as_default():
for k, v in predictions.items():
if not k.startswith('metrics/'):
continue
all_metrics[k].extend(v)
histogram_name = k + '_histogram'
metric_summary = tf.summary.histogram(histogram_name, all_metrics[k])
summary_writer.add_summary(metric_summary.eval(), global_step=file_num)
scalar_name = k
metric_summary = tf.summary.scalar(scalar_name, np.mean(all_metrics[k]))
summary_writer.add_summary(metric_summary.eval(), global_step=file_num)
summary_writer.flush()
start_time = time.time()
# Write final mean values for all metrics.
with tf.Graph().as_default(), tf.Session().as_default():
for k, v in all_metrics.items():
final_scalar_name = 'final/' + k
metric_summary = tf.summary.scalar(
final_scalar_name, np.mean(all_metrics[k]))
summary_writer.add_summary(metric_summary.eval())
summary_writer.flush()
def run(config_map, data_fn):
"""Run the infer script."""
output_dir = os.path.expanduser(FLAGS.output_dir)
config = config_map[FLAGS.config]
hparams = config.hparams
hparams.parse(FLAGS.hparams)
# Batch size should always be 1 for inference.
hparams.batch_size = 1
tf.logging.info(hparams)
tf.gfile.MakeDirs(output_dir)
summary_writer = tf.summary.FileWriter(logdir=output_dir)
with tf.Session():
run_config = '\n\n'.join([
'model_dir: ' + FLAGS.model_dir,
'checkpoint_path: ' + str(FLAGS.checkpoint_path),
'examples_path: ' + FLAGS.examples_path,
str(hparams),
])
run_config_summary = tf.summary.text(
'run_config',
tf.constant(run_config, name='run_config'),
collections=[])
summary_writer.add_summary(run_config_summary.eval())
model_inference(
model_fn=config.model_fn,
model_dir=FLAGS.model_dir,
checkpoint_path=FLAGS.checkpoint_path,
data_fn=data_fn,
hparams=hparams,
examples_path=FLAGS.examples_path,
output_dir=output_dir,
summary_writer=summary_writer,
preprocess_examples=FLAGS.preprocess_examples,
master=FLAGS.master,
shuffle_examples=FLAGS.shuffle_examples)
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] |
templatizator/domain/container.py | jhonasn/templatizator | 0 | 101566 | '''Container module that instantiate classes to accomplish IoC role'''
from templatizator.domain.repository import ConfigurationRepository, \
VariableRepository, TemplateRepository, TemplateFileRepository, \
ConfigurableRepository, ConfigurableFileRepository
from templatizator.domain.service import ProjectService, \
ConfigurationService, VariableService, TemplateService, ConfigurableService
from templatizator.domain.application import ProjectApplication, \
VariableApplication, TemplateApplication, ConfigurableFileApplication
from templatizator.domain.helper import Event
# pylint: disable=too-few-public-methods
class Container:
'''Static container class that holds the important instances available
for presentation layer
'''
def __init__(self):
raise Exception('Static class is not instantiable')
@staticmethod
def configure():
'''Instantiate events, and DDD layers'''
# events
project_changed_event = Event()
configuration_changed_event = Event()
# repository layer
configuration_repository = ConfigurationRepository()
variable_repository = VariableRepository()
template_repository = TemplateRepository()
template_file_repository = TemplateFileRepository()
configurable_repository = ConfigurableRepository()
configurable_file_repository = ConfigurableFileRepository()
# service layer
# the order affects the event subscribe and publish into the services
variable_service = VariableService(
variable_repository,
project_changed_event
)
template_service = TemplateService(
template_repository,
template_file_repository,
project_changed_event
)
configurable_service = ConfigurableService(
configurable_repository,
configurable_file_repository,
project_changed_event
)
project_service = ProjectService(
configuration_repository, variable_repository, template_repository,
configurable_repository, template_file_repository,
configurable_file_repository, configuration_changed_event,
project_changed_event
)
configuration_service = ConfigurationService(
configuration_repository,
configuration_changed_event
)
# application layer
Container.project_application = ProjectApplication(
project_service,
configuration_service
)
Container.variable_application = VariableApplication(variable_service)
Container.template_application = TemplateApplication(template_service)
Container.configurable_file_application = ConfigurableFileApplication(
configurable_service
)
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] |
azure-mgmt-network/azure/mgmt/network/v2018_10_01/models/next_hop_result_py3.py | JonathanGailliez/azure-sdk-for-python | 1 | 1609855 | # 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) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.serialization import Model
class NextHopResult(Model):
"""The information about next hop from the specified VM.
:param next_hop_type: Next hop type. Possible values include: 'Internet',
'VirtualAppliance', 'VirtualNetworkGateway', 'VnetLocal',
'HyperNetGateway', 'None'
:type next_hop_type: str or
~azure.mgmt.network.v2018_10_01.models.NextHopType
:param next_hop_ip_address: Next hop IP Address
:type next_hop_ip_address: str
:param route_table_id: The resource identifier for the route table
associated with the route being returned. If the route being returned does
not correspond to any user created routes then this field will be the
string 'System Route'.
:type route_table_id: str
"""
_attribute_map = {
'next_hop_type': {'key': 'nextHopType', 'type': 'str'},
'next_hop_ip_address': {'key': 'nextHopIpAddress', 'type': 'str'},
'route_table_id': {'key': 'routeTableId', 'type': 'str'},
}
def __init__(self, *, next_hop_type=None, next_hop_ip_address: str=None, route_table_id: str=None, **kwargs) -> None:
super(NextHopResult, self).__init__(**kwargs)
self.next_hop_type = next_hop_type
self.next_hop_ip_address = next_hop_ip_address
self.route_table_id = route_table_id
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mhandle_content.py | zyhibook/igotolibrary | 171 | 66325 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# @filename:mhandle_content.py
# @author: wheee/qmppz
# @time:20190709
# @description: handle msg, python3
import configparser
import time
import random
import json
import os
import re
import requests
import sys
# sys.path.append("../..")
# import igotolibrary.mhandle_content as test_mhandle_content
import utils
import crawldata
'''
conf for this py file
refresh first time
'''
# GBCF = utils.GBCF
a_task = utils.Atask()
CF = utils.GBCF()
# add value
CF.task_id = int(utils.get_date().split('_')[0]) - 20180000 + (100 if int(utils.get_date().split('_')[0]) % 2 == 0 else -100) + 1110
requests.adapters.DEFAULT_RETRIES = 5
CF.sess = requests.Session()
CF.sess.keep_alive = False
# sql action
sqlact = utils.SqlAct()
# memcache
mc = utils.MyMemcache()
# debug print
debug_p = utils.debug_p
'''
get_reply_msg from robot
'''
def get_reply_msg(str_info, str_flg='ROBOT', sess=object):
if str_flg == "ROBOT":
# if str_info.find("抢座") >= 0 or str_info.find("帮助") >= 0 :
# return ' '
# turing robot
api_url = 'http://openapi.tuling123.com/openapi/api/v2'
data = {
"reqType": 0, # 输入类型 0-文本, 1-图片, 2-音频
"perception": # 信息参数
{
"inputText": # 文本信息
{
"text": str_info
},
"selfInfo": # 用户参数
{
}
},
"userInfo":
{
"apiKey": ["<KEY>", "<KEY>", "<KEY>"][random.randint(0, 3)],
# 改为自己申请的key
"userId": "0001" # 用户唯一标识(随便填, 非密钥)
}
}
data = json.dumps(data).encode('utf8')
response = requests.post(api_url, data=data, headers={'content-type': 'application/json'})
replys = json.loads(response.text, encoding="UTF-8")
return replys
elif str_flg == "RIGHT":
return str_info
elif str_flg == "ERROR":
return str_info
else:
return "#[E]: 致命错误!"
'''
class for cmd prefix map to function
'''
class CmdFunction():
CMD_HINT = {
'HELP': '请回复:\n\n指令帮助\n\n',
'CMD_HELP': '【抢座指令】请按如下格式发送指令:\n#抢座; 学校英文简称; 自习室id;座位号; 自习室id;座位号; wechat_sess_id; serverid;',
'CMD_CHECK': ' '
}
HELP_INFO = {
}
face_ico = {
'positive': ['😃 ', '😏 ', '😁 ', '😌 ', '😜 ', '😝', '😂 '],
'emmm': ['😂'],
'negative': ['😂', '😰 ', '😭 ', '😱 ', '😨 ', '😷 ', '😔']
}
def getico(flag='emmm'):
if flag == -1:
flag = 'negative'
elif flag == 1:
flag = 'positive'
elif flag == 0:
flag = 'emmm'
return random.choice(CmdFunction.face_ico[flag])
'''
modify_opentime
'''
# @utils.catch_exception
def modify_opentime(userid, content):
# xgqzsj, bjtu, 20:35
# opentime : 20:35
_, schl_abbr, opentime = content.split(CF.USER_CMD_SPLTCH)
opentime = opentime.split('-')[0].replace('.', ':')
# 6:00 --> 06:00
if len(opentime.split(':')[0]) == 1:
opentime = '0' + opentime
# 20:10 --> 20:10:00
if opentime.count(':') == 1:
opentime += ':00'
if not schl_abbr or not opentime or opentime.count(':') < 1:
return 'modify_opentime failed'
# UPDATE schl_lib_stmp SET open_time = '00:00' WHERE schl_abbr like 'bjtu';
sql_update = 'UPDATE ' + sqlact.tb_schl_lib_stmp + ' SET open_time = \'' + opentime + '\' WHERE schl_abbr like \'' + schl_abbr.lower() + '\';'
sqlact.cur.execute(sql_update)
sqlact.conn.commit()
return 'modify_opentime succ'
'''
check school info if exist
'''
def check_school(userid, content):
check_cmd_str = '#查询; 学校英文简称'
info = {
'verify_failed_format': CmdFunction.getico(-1) + '操作失败:【指令格式可能有误】;请按如下指令查询学校信息:\n\n' + check_cmd_str,
'schl_info_not_found': CmdFunction.getico(-1) + '暂无 [{school_info}] 的自习室信息，请发送【添加】指令进行学校信息添加；格式如下:\n\n#添加学校; 学校英文简称; wechat_sess_id; serverid',
'check_succ': CmdFunction.getico(1) + '查询成功，[{school_name}-{schl_abbr}]自习室信息如下:\n\n{classrm_libid}\n开放抢座时间：{open_time}'
}
func_name = '[check_school]'
tmp_ls = content.split(CF.USER_CMD_SPLTCH)
if len(tmp_ls) < 2:
return info['verify_failed_format']
_, schl_abbr = tmp_ls[:2]
# check [school_name] seatmap data exist or not; # {user_name:'',schl_abbr:'', 'open_time':'', school_name:'', classroom:[{'classroom_name':classroom_name,'libid':libid, 'path':classroom_path,'seat_map':''},{},{}...]}
user_conf_dict = sqlact.query_school_info(schl_abbr=schl_abbr) # , libid1='', libid2=libid2)
debug_p('func_name=', func_name, 'query_school_info()', user_conf_dict)
if not user_conf_dict:
# schl_info_not_found
reply_text = info['schl_info_not_found'].replace('{school_info}', schl_abbr)
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
else:
school_name = user_conf_dict.get('school_name', 'school_name')
# schl_info_found
reply_text = info['check_succ'].replace('{school_name}', school_name).replace('{schl_abbr}', schl_abbr).replace('{open_time}', user_conf_dict.get('open_time', '--:--')).replace('{classrm_libid}', '\n'.join([e['classroom_name'] + '-id=' + str(e['libid']) for e in user_conf_dict['classroom']]))
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
'''
force_add_school_info
'''
def force_add_school_info(userid, content):
func_name = '[force_add_school_info]'
debug_p(func_name, 'content=', content)
return CmdFunction.add_school_info(userid=userid, content=content, force=True)
'''
add school info
'''
def add_school_info(userid, content, force=False):
'''
#添加学校; bbmc; wechat_sess_id; serverid
'''
func_name = '[add_school_info]'
info = {
'verify_failed_format': CmdFunction.getico(-1) + '操作失败:【添加指令格式可能有误】；\n在自身没有预约座位和自习室开放的状态下，添加指令才能有效；请按如下指令添加学校信息:\n\n#添加学校; 学校英文简称; wechat_sess_id; serverid',
'verify_failed_wechat_sess_id_invalid': CmdFunction.getico(-1) + '操作失败:【wechat_sess_id; serverid可能失效】;\nwechat_sess_id、serverid是需要自己去抓包获取的，不是示例里面的qwertyxxxx，具体获取方法请看指令帮助文档。',
'failed_add_school_except': CmdFunction.getico(-1) + '操作失败:【尝试获取自习室信息失败】\n 在自身没有预约座位和自习室开放的状态下，添加指令才能有效；多次出错请联系管理员',
'already_exist': CmdFunction.getico(1) + '操作成功:【学校 [{schl_abbr}] 的自习室信息已经存在】;自习室信息如下:\n\n{classrm_libid}\n开放抢座时间：{open_time};\n快使用抢座指令添加任务吧！\n自习室的数量 id 时间不正确请反馈管理员',
'succ_add_school_info': CmdFunction.getico(1) + '操作成功:【成功添加学校 [{school_name}-{schl_abbr}] 的自习室信息】;信息如下:\n\n{classrm_libid}\n开放抢座时间：{open_time}\n自习室的数量 id 时间不正确请反馈管理员'
}
# #添加学校, schl_abbr, sess_id, - 平台=来选座
tmp_ls = content.split(CF.USER_CMD_SPLTCH)
# if len(tmp_ls) < 4:
if len(tmp_ls) < 3:
return info['verify_failed_format']
# _, schl_abbr, wechat_sess_id, serverid = tmp_ls[:4]
_, schl_abbr, wechat_sess_id = tmp_ls[:3]
cmd_dict = utils.parse_extra_cmd(extra_cmd=content)
# init a_task
# if cmd_dict.get('platform') == 'CTRS':
a_task = utils.Atask(platform=cmd_dict.get('platform', CF.PLATFORM['IGTL']))
# schl_abbr transfer to lower
schl_abbr = str(schl_abbr).replace('[', '').replace(']', '').lower()
# verify_key = '您好'
# url_homepage = 'https://wechat.v2.traceint.com/index.php/reserve/index.html?f=wechat'
# # fill cookies
# if serverid.split('|') != 3:
# serverid = serverid.split('|')[0] + '|' + '1234567890' + '|' + a_task.M_COOKIES['SERVERID'].split('|')[-1]
# a_task.M_COOKIES = utils.fill_cookies(cookies=a_task.M_COOKIES, serverid=serverid, wechat_sess_id=wechat_sess_id)
a_task.M_COOKIES = utils.fill_cookies(cookies=a_task.M_COOKIES, wechat_sess_id=wechat_sess_id, platform=a_task.platform)
# entry homepage
homepage_response = utils.get_response(url=a_task.CURRENT_URL['home_page'],
sess=CF.sess,
m_headers=a_task.M_HEADERS,
m_cookies=a_task.M_COOKIES,
verify_key=a_task.VERIFYKEY_OF_HOMEPAGE)
if not homepage_response:
# verify failed; cmd is invalid
return info['verify_failed_wechat_sess_id_invalid']
debug_p('homepage_response=', homepage_response[:200])
# parse homepage_response get user_name, school_name
user_name, school_name = crawldata.get_name(homepage_response)
# check [school_name] seatmap data exist or not; # {user_name:'',schl_abbr:'', school_name:'', 'open_time':'', classroom:[{'classroom_name':classroom_name,'libid':libid, 'path':classroom_path,'seat_map':''},{},{}...]}
user_conf_dict = sqlact.query_school_info(schl_abbr=schl_abbr, libid1='', libid2='')
# if query failed, refresh school info
if force == True or not user_conf_dict:
# school info not exist, refresh this school; # {user_name:'',schl_abbr:'', school_name:'', 'open_time':'', classroom:[{'classroom_name':classroom_name,'libid':libid, 'path':classroom_path,'seat_map':''},{},{}...]}
# user_conf_dict = crawldata.refresh_school_info(homepage_url='', homepage_response=homepage_response,
# sess=CF.sess, m_headers=a_task.M_HEADERS,
# m_cookies=a_task.M_COOKIES,
# verify_key='',
# schl_abbr=schl_abbr,
# platform=a_task.platform,
# sql_conn=sqlact.conn
# )
user_conf_dict = crawldata.refresh_school_info(homepage_response=homepage_response,
a_task=a_task,
schl_abbr=schl_abbr,
sess=CF.sess, m_headers=a_task.M_HEADERS,
m_cookies=a_task.M_COOKIES,
sql_conn=sqlact.conn
)
else:
# already exist
reply_text = info['already_exist'].replace('{schl_abbr}', schl_abbr).replace('{open_time}', user_conf_dict.get('open_time', '--:--')).replace('{classrm_libid}', '\n'.join([e['classroom_name'] + '-id=' + str(e['libid']) for e in user_conf_dict['classroom']]))
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
if not user_conf_dict.get('classroom', []):
return info['failed_add_school_except']
reply_text = info['succ_add_school_info'].replace('{school_name}', user_conf_dict.get('school_name', 'school_name')).replace('{schl_abbr}', schl_abbr).replace('{open_time}', user_conf_dict.get('open_time', '--:--')).replace('{classrm_libid}', '\n'.join([e['classroom_name'] + '-id=' + str(e['libid']) for e in user_conf_dict['classroom']]))
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
'''
parse trace,return serverid wechat_sess_id # and two time value
'''
def parse_trace(userid, content):
# verify content format
info = {
'verify_failed': CmdFunction.getico(-1) + '您发送的 trace 校验格式不通过，请重新获取后再尝试！'
}
if len(content) < 100:
return info['verify_failed']
if content.find('wechatSESS_ID') < 0:
return info['verify_failed'] + '\n' + '没有找解析出 wechatSESS_ID 字段'
# elif content.find('SERVERID')<0:
# return info['verify_failed']+'\n'+'没有找解析出 SERVERID 字段'
try:
content += ' ;'
# pattern = re.compile(r'SERVERID\=\w+\|\d{10}\|\d{10}')
# SERVERID = pattern.search(content).group(0)
pattern = re.compile(r'wechatSESS_ID\=\w+(?=[\s;])')
wechatSESS_ID = pattern.search(content).group(0)
# pattern = re.compile(r'(?<=Hm_lvt_\w{32}\=)\d{10}(?=[\s;])')
# Hm_lvt_time = pattern.search(content).group(0)
#
# SERVERID_time_2 = re.compile(r'(?<=SERVERID\=\w{32}\|\d{10}\|)\d{10}(?=[\s;])')
# SERVERID_time_2 = pattern.search(content).group(0)
return '\n' + wechatSESS_ID + '\n' # +SERVERID
except Exception as e:
debug_p('[E]: action [%s] failed, exception is %s' % ('parse_trace', repr(e)))
return info['verify_failed'] + '[wechatSESS_ID 没有找到]'
'''
realtime
'''
def realtime(userid, content):
func_name = '#realtime'
debug_p('func_name=', func_name, 'userid, content', userid, content)
return CmdFunction.grab_seat(userid, content, task_kind=CF.TASK_KIND['realtime'])
'''
grab_seat
'''
def grab_seat(userid, content, task_kind=CF.TASK_KIND['reserve']):
'''
实时预定 | 捡漏 | jl | #jl | 明日预约 | 抢座 | #qz | qz ；
学校英文简称 | 首拼；
自习室id1；座位号1；自习室id2，座位号2；
serverid；wechat_sess_id
extra_info:
exetime 首次执行时间 | 开抢时间;
pre_today 当日即时预订 | 明日预约;
lgtl_or_ctrs 我去图书馆 | 来选座;
unknown_cmd 扩展指令
'''
func_name = '#grab_seat'
debug_p('func_name=', func_name, 'userid, content', userid, content)
task_kind_str = '[准点抢座] ' if task_kind == CF.TASK_KIND['reserve'] else '[实时捡漏] '
info = {
'grab_cmd_help': 'help info',
'verify_failed_format': CmdFunction.getico(-1) + task_kind_str +'task提交失败:【抢座指令格式可能有误】\n请仔细检查并按如下顺序重新编辑发送:\n\n#抢座; 学校英文简称; 自习室id;座位号;自习室id;座位号; wechat_sess_id; serverid',
'verify_failed_wechat_sess_id_invalid': CmdFunction.getico(-1) + task_kind_str + 'task提交失败:【wechat_sess_id; serverid可能失效】\nwechat_sess_id、serverid是需要自己去抓包获取的，不是示例里面的qwertyxxxx，更不是wechat_sess_id，serverid这两个单词；具体获取方法请看指令帮助文档。',
'verify_failed_get_school_info': CmdFunction.getico(-1) + task_kind_str + 'task提交失败:【座位表信息不匹配】请确认自习室信息存在且自习室id正确\n如需帮助请联系管理员处理',
'verify_failed_seatnum_not_found': CmdFunction.getico(-1) + task_kind_str + 'task提交失败:【自习室id不匹配或不存在此座位号】请检查后再试\n支持的自习室的id信息:{classrm_libid}',
'unknown_error': CmdFunction.getico(-1) + task_kind_str + 'task提交失败；未知错误；\n请联系管理员并提供如下信息:\n\n{unknown_error}',
'verify_succ': CmdFunction.getico(1) + task_kind_str + 'task提交成功:task_id={task_id}；\n您的任务信息如下:\n{task_info}',
}
if not content:
reply_text = info['help_info']
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
# cmd type = user
# verify format, cmd_dict : # {schl_abbr: '', libid1: '', seat_num1: '', libid2: '', seat_num2: '',serverid:'', wechat_sess_id:''}
cmd_dict = utils.parse_grab_seat_cmd(command=content)
debug_p('func_name=', func_name, 'parse_grab_seat_cmd()', cmd_dict)
if not cmd_dict:
reply_text = info['verify_failed_format']
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
# normal cmd
# schl_abbr, libid1, seat_num1, libid2, seat_num2, wechat_sess_id, serverid = cmd_dict['schl_abbr'], cmd_dict['libid1'], cmd_dict['seat_num1'], cmd_dict['libid2'], cmd_dict['seat_num2'], cmd_dict['wechat_sess_id'], cmd_dict['serverid']
schl_abbr, libid1, seat_num1, libid2, seat_num2, wechat_sess_id, = cmd_dict['schl_abbr'], cmd_dict['libid1'], cmd_dict['seat_num1'], cmd_dict['libid2'], cmd_dict['seat_num2'], cmd_dict['wechat_sess_id'] # , cmd_dict['serverid']
# cmd
exe_time = cmd_dict.get('exe_time', '') # open_time
# pattern = cmd_dict.get('pattern', CF.PATTERN['PRE']) # pre
# a task , a Atask, init
a_task = utils.Atask(platform=cmd_dict.get('platform', CF.PLATFORM['IGTL']),
pattern=cmd_dict.get('pattern', CF.PATTERN['TODAY']))
# verify serverid and wechat_sess_id
# fill cookies
# a_task.M_COOKIES = utils.fill_cookies(cookies=a_task.M_COOKIES, serverid=serverid, wechat_sess_id=wechat_sess_id, platform=a_task.platform)
a_task.M_COOKIES = utils.fill_cookies(cookies=a_task.M_COOKIES, wechat_sess_id=wechat_sess_id, platform=a_task.platform)
debug_p('func_name=', func_name, 'fill_cookies()', a_task.M_COOKIES)
# entry homepage
# test
homepage_response = utils.get_response(url=a_task.CURRENT_URL['home_page'], sess=CF.sess,
m_headers=a_task.M_HEADERS,
m_cookies=a_task.M_COOKIES,
verify_key=a_task.VERIFYKEY_OF_HOMEPAGE)
debug_p('func_name=', func_name, 'get_response()', homepage_response[:300])
if not homepage_response:
# verify failed; cmd is invalid
reply_text = info['verify_failed_wechat_sess_id_invalid']
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
# debug_p('homepage_response=', homepage_response)
# parse homepage_response get user_name, school_name
user_name, school_name = crawldata.get_name(homepage_response)
# check [school_name] seatmap data exist or not; # {user_name:'',schl_abbr:'', 'open_time':'', school_name:'', classroom:[{'classroom_name':classroom_name,'libid':libid, 'path':classroom_path,'seat_map':''},{},{}...]}
user_conf_dict = sqlact.query_school_info(schl_abbr=schl_abbr) # , libid1='', libid2=libid2)
debug_p('func_name=', func_name, 'query_school_info()', str(user_conf_dict)[:400])
# # if query failed, refresh school info
# if not user_conf_dict:
# # school info not exist, refresh this school; # {user_name:'',schl_abbr:'', 'open_time':'', school_name:'', classroom:[{'classroom_name':classroom_name,'libid':libid, 'path':classroom_path,'seat_map':''},{},{}...]}
# user_conf_dict = crawldata.refresh_school_info(homepage_url='', homepage_response=homepage_response,
# sess=CF.sess, m_headers=CF.M_HEADERS, m_cookies=CF.M_COOKIES,
# verify_key='',
# schl_abbr=schl_abbr,
# sql_conn=sqlact.conn
# )
# debug_p('func_name=', func_name, 'refresh_school_info()', user_conf_dict)
# action query and refresh both failed
if not user_conf_dict:
reply_text = info['verify_failed_get_school_info']
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
# get school info succ and then construct [re_reserve_cmd] data: task_id;userid; 323;21,31; 324;41,51; wechat_sess_id; serverid; comment_info
user_conf_dict['user_name'] = user_name
# get seat coordinate and classroom_name
# all_lib_clssrm dict{libid: clssrm}
all_lib_clssrm = dict([(classroom['libid'], classroom['classroom_name']) for classroom in user_conf_dict['classroom']])
lib_seat_ls = [(libid1, seat_num1), (libid2, seat_num2)]
clssrm_crdnt = CmdFunction.verify_seat(lib_seat_ls, user_conf_dict)
# if coordinate not match, exception
if not clssrm_crdnt:
reply_text = info['verify_failed_seatnum_not_found'].replace('{classrm_libid}', '\n'.join([e['classroom_name'] + '-id=' + str(e['libid']) for e in user_conf_dict['classroom']]))
debug_p('func_name=', func_name, 'reply_text=', reply_text)
return reply_text
classroom_name1, coordinate1 = clssrm_crdnt[0]
classroom_name2, coordinate2 = clssrm_crdnt[1]
debug_p('func_name=', func_name, 'get coordinate1 and coordinate2', 'classroom_name1=', classroom_name1,
'coordinate1=',
coordinate1, 'classroom_name2=', classroom_name2, 'coordinate2=', coordinate2)
# construct[re_reserve_cmd] task_id; userid; user_name; school_name; classroom_name1;323;seat_num; 21,31; classroom_name2; 324; seat_num2; 41,51; wechat_sess_id; serverid; comment_info
open_time = user_conf_dict.get('open_time', '00:00-00:00') if task_kind == CF.TASK_KIND['reserve'] else utils.get_date(format="%H:%M:%S")
submit_time = utils.get_date(format='%Y-%m-%d %H:%M:%S')
open_time = exe_time if exe_time else open_time
wechat_sess_id = wechat_sess_id
succ_failed, detail_info, others_result_info = '', '', ''
task_id = CF.TASK_ID
# others_info is json format
others_info = {}
others_info['all_lib_clssrm'] = all_lib_clssrm
comment_info = ''
serverid = CF.SERVERID if a_task.platform == CF.PLATFORM['IGTL'] else ''
# print('serverid', serverid)
param = (
userid, task_kind, wechat_sess_id, succ_failed, detail_info, others_result_info, task_id,
user_name, school_name, schl_abbr, open_time, classroom_name1, libid1, seat_num1, coordinate1,
classroom_name2, libid2, seat_num2, coordinate2, serverid, comment_info, submit_time,
a_task.pattern, a_task.platform, json.dumps(others_info)
)
#
tb_today_task = 'today_task'
# replace will delete the exist trace and insert a new trace, then the id will change
# insert into tb_today_task
# REPLACE into today_task (userid, task_kind, wechat_sess_id, succ_failed, detail_info, others_result_info , task_id, user_name, school_name, schl_abbr, open_time, classroom_name1, libid1, seat_num1, coordinate1, classroom_name2, libid2, seat_num2, coordinate2, serverid, comment_info, submit_time, pattern, platform, others_info )
sql_today_task = 'REPLACE INTO ' + tb_today_task + \
'(userid, task_kind, wechat_sess_id, succ_failed, detail_info, others_result_info, task_id,' \
'user_name, school_name, schl_abbr, open_time, classroom_name1, libid1, seat_num1, coordinate1,' \
'classroom_name2, libid2, seat_num2, coordinate2, serverid, comment_info, submit_time,' \
'pattern, platform, others_info) ' + \
' VALUES(' + '?,' * (len(param) - 1) + '?)'
sqlact.cur.execute(sql_today_task, param)
sqlact.conn.commit()
debug_p('func_name=', func_name, 'REPLACE and INSERT action; param=', param)
reply_text = info['verify_succ'].replace('{task_id}', str(CF.TASK_ID)).replace('{task_info}', '\n[' + school_name + '-' + schl_abbr + ']' +
'的\n[' + classroom_name1 + '-id=' + libid1 + ']的[' + str(seat_num1) + ']号座位\n' +
'[' + classroom_name2 + '-id=' + libid2 + ']的[' + str(seat_num2) + ']号座位\n执行时间:' + open_time + '') + \
'\n模式:' + ('预定当日💺' if a_task.pattern == CF.PATTERN['TODAY'] else '预约明天💺') + '\n平台:' + ('<我去图书馆>' if a_task.platform == CF.PLATFORM['IGTL'] else '<来选座>')
CF.TASK_ID += 1
debug_p('func_name=', func_name, 'TASK_ID=', CF.TASK_ID, 'grab_seat action over, reply_text=', reply_text)
return reply_text
'''
query_realtime_result
'''
def query_realtime_result(userid, content):
func_name = '[query_realtime_result]'
debug_p(func_name, 'userid, content', userid, content)
return CmdFunction.query_result(userid, content, task_kind=CF.TASK_KIND['realtime'])
'''
parse the dict from memcache
return reply str
'''
def parse_dct_from_mc(result_dct={}, char_limit=CF.CHAR_LIMIT):
# exe trace format
# TRACE_FORMAT = {
# 'head': '状态:{status}\n[{school_name}-{schl_abbr}_{task_id}]\n{submit_time} 提交\n',
# 'exe_trace': '{emoji}{try_cnt}. {exe_time} [{classroom_name}]-[{seat_num}]号座位:{feedback}\n',
# }
default_value = ''
flag = {
'SUCC': '✅',
'FAILED': '❌',
# 'Ongoing': '🔄',
'Ongoing': '🌀',
# 'exe_trace_failed': '⏬'
'exe_trace_failed': '🔸'
}
status = 'Ongoing'
reply_str = '...\n'
reply_str += CF.TRACE_FORMAT['head'].format(status=flag[status] + status, school_name=result_dct.get('school_name', default_value),
schl_abbr=result_dct.get('schl_abbr', default_value), task_id=result_dct.get('task_id', default_value),
submit_time=result_dct.get('submit_time', default_value))
if len(result_dct['exe_trace']) < 1:
return reply_str
code = result_dct['exe_trace'][-1].get('code', default_value)
completed_flag = result_dct['exe_trace'][-1].get('completed_flag', default_value)
if completed_flag == 'completed':
status = 'SUCC' if str(code) == '0' else 'FAILED'
for i, trace in enumerate(result_dct['exe_trace']):
reply_str += CF.TRACE_FORMAT['exe_trace'].format(
emoji=flag['exe_trace_failed'] if str(trace.get('code', default_value)) != '0' else flag['SUCC'],
try_cnt=i, exe_time=trace.get('exe_time', default_value),
classroom_name=trace.get('clssrm', default_value),
seat_num=trace.get('seat_num', default_value), feedback=trace.get('msg', default_value))
return reply_str[-1*char_limit:]
'''
query task result
'''
def query_result(userid, content, task_kind=CF.TASK_KIND['reserve']):
func_name = '[query_result]'
debug_p('func_name=', func_name, 'userid, content', userid, content)
info = {
'default': '没有查询到最近这段时间抢座任务执行状态信息',
}
reply_str = info['default']
result = mc.get_value(key=task_kind + '_' + userid, default='')
if result:
reply_str = CmdFunction.parse_dct_from_mc(result)
# parse the dict from memcache
debug_p(func_name, 'task result reply_str=', reply_str)
# return {'kind': 'no_prefix', 'reply_str': reply_str}
return reply_str
'''
FUNCTION_MAP
'''
FUNCTION_MAP = {
'#check_schl': check_school,
'#add_school_info': add_school_info,
'#force_add_school_info': force_add_school_info,
'#parse_trace': parse_trace,
'#grab_seat': grab_seat,
'#modify_opentime': modify_opentime,
# '#needhelp': needhelp,
'#query_result': query_result,
'#realtime': realtime,
'#query_realtime_result': query_realtime_result,
}
# verify_seat, return clssrm_crdnt=[(classroom_name, coordinate), () ... ]
def verify_seat(lib_seat_ls, user_conf_dict, num_0_value='任意'):
clssrm_crdnt = []
for libid, seatnum in lib_seat_ls:
if int(libid) <= 0:
seatnum = '0'
# user_conf_dict['classroom']:[{'classroom_name':classroom_name,'libid':libid, 'path':classroom_path,'seat_map':''}
# if libid == 0:
classroom_name, coordinate = num_0_value, '0'
for classroom in user_conf_dict['classroom']:
# if int(libid) == 0: classroom_name = "任意"; coordinate = '0'; break
if int(libid) != 0 and coordinate == '0' and classroom['libid'] == libid.replace('-', ''):
classroom_name = classroom['classroom_name']
if seatnum == '0':
coordinate = '0'
break
for pre_0 in ['', '0', '00', '000']:
coordinate = classroom['seat_map'].get(pre_0 + seatnum, coordinate)
if libid != '0' and classroom_name == num_0_value:
# error: libid not found
return []
clssrm_crdnt.append((classroom_name, coordinate))
return clssrm_crdnt
'''
extra help info
'''
class ExtraInfo(object):
prefix = '\n\nℹ️随机帮助信息ℹ️\n'
I = {
# 'help': '强调：wechat_sess_id和serverid是需要自己抓包获取的，不是示例里面的qwertyxxx，请仔细阅读说明\n为了避免id失效，抢座任务请尽量在开抢前的5-30分钟时间段内提交\ngithub:https://github.com/qmppz/igotolibrary',
# 'administrator_info': '如果出现指令无响应无反馈、添加学校失败、多次任务失败...等等摸不着头脑的问题请联系管理员处理。\nwx: turing_01110101',
}
others = ['查看<为了学习>抢座工程的更新进度和即时通知，请看管理员朋友圈。wx: turing_01110101',
'<为了学习>已经向<我去图书馆>官方反馈了抢座漏洞，官方答复:正在修复中。',
'wechat_sess_id、serverid是需要自己去抓包获取的，不是示例里面的qwertyxxxx，具体获取方法请看指令帮助文档',
'指令分隔符可以是逗号或句号或分号或空格或回车，。；,.; 且支持中文符号和英文符号。',
'<为了学习>工程抢座原理已经开源，且无收费的服务、不买卖程序!只为非计算机的同学提供近似公平的抢座。',
'服务器已经升级，抢座task实际测试速度提升明显。',
'服务器指令解析需要时间，请等待几秒钟。',
'有什么意见或者建议请向管理员反馈。',
'指令中的[学校简称]是英文简称，而不是学校名字的首拼。'
'为避免抓包获取的serverid失效以及抢座任务遗漏，请在开抢前5-30分钟时间段提交抢座任务。',
'如果出现指令无响应无反馈、添加学校失败、多次任务失败...等等摸不着头脑的问题请联系管理员。',
'注意不要把抓包获取到的trace发到<我去图书馆>...请认准<为了学习>',
'后台消息过多，反馈问题或者建议意见请发送到管理员的微信 turing_01110101',
'抓包的意思就是进行网络监听并将请求的数据记录显示出来，所以开启抓包软件的时候手机会有风险提示',
'使用[添加指令]需要满足:1, 在自身没有预定座位的状态下; 2, 自习室都开放的状态下',
'自习室数量、开抢时间等不正确请反馈管理员wx:turing_01110101',
'抢座任务在开抢前5-30分钟时间段内提交才能有效',
# '接下来尝试更新'
]
# cmd_help = '\n指令帮助文档:https://mp.weixin.qq.com/s/1FVTjlDunfngwMip3TFakA'
cmd_help = '\n<a href="https://mp.weixin.qq.com/s/8HmS4Ct02ZQIcBYRnhTl9Q"> ☞☞指令帮助文档 </a>'
# get_random_info
def get_random_info(whichone=-1):
info = list(ExtraInfo.I.values()) + ExtraInfo.others
return ExtraInfo.prefix + random.choice(info) + ExtraInfo.cmd_help
'''
parse msg from wechat handle; verify if is cmd and execute the cmd`s function
return response
'''
@utils.catch_exception
def handle_msg(userid, content, my_id, LOCAL=False):
# transfer content from byte to str
m_content = content
if isinstance(content, bytes):
m_content = content.decode(encoding='utf-8')
func_name = '#handle_msg'
debug_p('func_name=', func_name, 'userid=', userid, 'content=', content)
'''
check if is test, discard test flag
'''
if str(m_content[:4].split()[0]).lower() in {'test', '内测', '测试'}:
m_content = m_content[:4].replace('test', '').replace('内测', '').replace('测试', '') +\
m_content[4:]
# else:
# # old version entrance function
# return old_version_entrance(userid, content, my_id)
# content is none
content = m_content
if not content:
# return get_reply_msg(str_info=content)
reply_text = CmdFunction.getico(1) + '\n'
return reply_text + ExtraInfo.get_random_info()
# parse, if command
cmd_pre_flag = {
# 'igotolibrary': {'我去图书馆', '来选座'},
# qiangzuo task
'#grab_seat': {'抢座', '明日预约', '预约座位', '抢座位', '抢坐', '#抢坐', '抢位置', 'grab_seat', '#抢座', 'qz', '#qz'},
# realtime greb seat
'#realtime': {'捡漏', '实时预定', '即时预订', '实时预订', '即时预定', 'jl', 'ssyd', 'jsyd', 'realtime'},
'#check_schl': {'查询', '#查询', 'cx', '#cx', 'chaxun', '#查询学校', '查询学校'},
# parse trace
'#parse_trace': {'jx', '#jx', '解析', '#解析', 'wechatsess_id=', 'get'},
# status query
'#add_school_info': {'#添加学校', '添加学校', 'tj', '#tj', '#添加', '添加'},
# force add school
'#force_add_school_info': {'强制添加', '强制添加学校', '强制添加学校信息', 'qztj', 'qztjxxxx'},
# '#needhelp':{'帮助', 'help', 'bz', '帮助信息', '提示'},
# admin cmd
'#gengxin': {},
# modify opentime
'#modify_opentime': {'修改抢座时间', 'xgqzsj', '修改开抢时间', 'xgkqsj'},
# query reserve result
'#query_result': {'查询结果', '结果', 'jg', 'cxjg', '抢座结果', 'qzjg', '查询抢座结果', '查询抢座'},
# query realtime result
'#query_realtime_result': {'查询捡漏结果', '捡漏结果', 'jljg', 'cxjljg', 'jlqzjg', 'jl结果', '实时预定结果', '实时预订结果'}
}
# formatting split_ch to blank
frmt_content = re.sub(r'[(（）)，；。;,\.]', ' ', content.replace(u'＃', '')
.replace(u'#', '')
.replace(u'－', '-').replace(u'➖', '-').replace('- -', '--')
.replace('＝', '=')
.replace('\n', CF.USER_CMD_SPLTCH)
)
# del all \n \r and blank
frmt_content = re.sub(r'\s+', CF.USER_CMD_SPLTCH, frmt_content.strip())
content = frmt_content
# judge which kind cmd from index 0
cmd_ls = content.split(CF.USER_CMD_SPLTCH)
cmd_kind = ''
for pre_flag in cmd_pre_flag.keys():
if cmd_ls[0].lower().replace('#', '').strip() in cmd_pre_flag[pre_flag]:
cmd_kind = pre_flag
break
if not cmd_kind:
# specify parse trace
if len(content) > 100 and content.find('wechatSESS_ID') >= 0: # and content.find('SERVERID') >= 0:
# parse trace
cmd_kind = '#parse_trace'
else:
# content is not cmd
no_match_cmd_reply = ['没有匹配到指令...不知道该回应什么',
'没有匹配到指令...反馈问题请联系管理员']
reply_text = CmdFunction.getico(1) * 3 + random.choice(no_match_cmd_reply) + '\n'
return reply_text + ExtraInfo.get_random_info()
# swap wechatSESS_ID and SERVERID to ...;wechatSESS_ID; SERVERID
# if len(cmd_ls) > 2 and cmd_ls[-1].find('wechatSESS_ID') >= 0 and cmd_ls[-2].find('SERVERID') >= 0:
# cmd_ls[-1], cmd_ls[-2] = cmd_ls[-2], cmd_ls[-1]
# content = CF.USER_CMD_SPLTCH.join(cmd_ls)
# print('cmd_ls=', cmd_ls)
# content is cmd then save cmd log
a_cmd_log = utils.get_date() + '|from_user=' + userid + '|cmd_kind=' + cmd_kind + '|content=' + content + '\n'
debug_p('func_name=', func_name, 'cmd_kind=', cmd_kind, 'a_cmd_log=', a_cmd_log)
# content is cmd then exe cmd function
reply_text = CmdFunction.FUNCTION_MAP[cmd_kind](userid, content)
# return reply text
if reply_text.find('状态') < 0:
reply_text = reply_text + ExtraInfo.get_random_info() if cmd_kind != '#parse_trace' else reply_text
return reply_text
'''
test
'''
if __name__ == '__main__':
LOCAL = utils.LOCAL
# zl_ls = [
# # '#抢座; bjtu; 323;81; 324;80; d3936289adfff6c3874a2579058ac651|1563028695|1563028690; 12cb1a0ebdb4f4260e4d2527110a2959491c24eccf287d75',
# # '#抢座; bbmc; 323;81; 324;80; d3936289adfff6c3874a2579058ac651|1563028695|1563028690; 12cb1a0ebdb4f4260e4d2527110a2959491c24eccf287d75',
# # '#抢座; pku; 323;81; 324;80; d3936289adfff6c3874a2579058ac651|1563028695|1563028690; 12cb1a0ebdb4f4260e4d2527110a2959491c24eccf287d75',
# # '查询；bbmc',
#
# # '添加；hbucm; wechatSESS_ID=5c4b33b34a20e0e0fea9864a253bd3575dcf545689ce9c0e SERVERID=b9fc7bd86d2eed91b23d7347e0ee995e|1565443472|1565443470'
#
# # '＃xgqzsj, bjtu,21:22'
# 'jl, bjtu, 323, 7, 324 77 ' + \
# # 'tj, bjtu ' + \
# 'wechatSESS_ID=26443f7ddc48027297ce0e4330308d17f4b7d624aff7b416 ' + \
# 'SERVERID=b9fc7bd86d2eed91b23d7347e0ee995e|1570237808|1570237801 ' + \
# '-- t=07:00. 平台=lxz; 今明=明'
#
# # 'cxqwejg,'
# ]
for i in range(1, 2):
# zl = random.choice(['捡漏', '实时预定', '即时预订', '实时预订', '即时预定', 'jl', 'ssyd', 'jsyd', 'realtime',
# '抢座', '抢座位', '抢坐', '#抢坐', '抢位置', 'grab_seat', '#抢座', 'qz', '#qz']) + \
# ' bjtu ' + \
# ' ' + random.choice(['323 ', '324 ']) + random.choice([str(_) for _ in range(1, 100)]) + \
# ' ' + random.choice(['323 ', '324 ']) + random.choice([str(_) for _ in range(1, 100)]) + \
# ' wechatSESS_ID=ssid'+random.choice([str(_) for _ in range(111, 999)]) + \
# ' SERVERID=serid|1231232321|1321234' + random.choice([str(_) for _ in range(111, 999)]) + \
# ' -- ' + \
# random.choice(['开抢时间', '时间', 't', 'T', 'time'])+'' \
# '='+str(random.randint(6,23))+':'+str(random.randint(0,59))+':'+str(random.randint(0,59))+' ' + \
# random.choice(['预约模式', '今明', '哪天', '模式'])+'='+random.choice(['pre', '明', '明天','today', '今', '今天']) + ' ' + \
# random.choice(['平台', '公众号'])+'='+random.choice(['我去图书馆', 'igtl', 'wqtsg','来选座', 'lxz']) + ' '
zl = 'jl;bjtu;323;1 323 0 ,,;;' \
'SERVERID=d3936289adfff6c3874a2579058ac651|1570612694|1570612692 ' \
'wechatSESS_ID=5ef6f21dde35722c92e4595b2100b6fef8f08f50adfe6cb3;' \
' -- 时间=12:00;模式=明;平台=我去图书馆'
zl = '抢座;ycgxy;1234;355;' \
'wechatSESS_ID=672c5459adb7c20f3a3f64e677dfdfebac2455b49c34e280;SERVERID=b9fc7bd86d2eed91b23d7347e0ee995e|1570632661|1570631371' \
';—-;时间=6:00;模式=明;平台=我去图书馆'
zl = '捡漏, bjtu,0,0 wechatSESS_ID=14a69992ca6af9a2e11b4c3ba270a752a6d28a49fc116272'
zl = '#抢座; bjtu; 0; 046; 0; 045; ' \
'wechatSESS_ID=d251fce0daa72515a1d71eefb5b55debc1cbae9d1a32d721; ' \
'SERVERID=d3936289adfff6c3874a2579058ac651|1570707938|1570707927 ' \
'-- t=17:20 模式=今'
zl = 'test 捡漏, tyut, 323, 0, 324,0, wechatSESS_ID=0db7db1b5250d65e4d1c2af0a707296c0f689afc5f901273 SERVERID=b9fc7bd86d2eed91b23d7347e0ee995e|1570926044|1570924907 -- 时间=08:40, 模式=今天'
#
# zl = '添加学校;sxau;wechatSESS_ID=65dece8f05041ee8c849e5ec5c622a14 -- pt=lxz'
# 'SERVERID=b9fc7bd86d2eed91b23d7347e0ee995e|1570237808|1570237801 ' + \
# ' SERVERID=d3936289adfff6c3874a2579058ac651|1570237808|1570237801 ' + \
# zl = '添加； ycgxy; wechat_sess_id=672c5459adb7c20f3a3f64e677dfdfebac2455b49c34e280;'
# zl = '抢座；bjtu；324；10；323；85；SERVERID=b9fc7bd86d2eed91b23d7347e0ee995e|1570448431|1570448430；wechatSESS_ID=65bf8d12c374bf3b1fc466a279bd5ba04f2d9fe375ee717f;'
# zl = '#jl; tyut; 311; 100; 313; 91;' + \
# ' wechatSESS_ID=ed024e28d954710784abf2f385eb9ee1d7de4c53bfdfd898; SERVERID=d3936289adfff6c3874a2579058ac651|1570400154|1570400153;' +\
# '-- t=07:00 平台=wqtsg; 今明=j'
# zl = 'jljg'
# zl = '''
# GET /index.php/url/auth.html?r=%2Findex.php%2Freserve%2Findex.html%3Ff%3Dwechat%26n%3D5d9bd23e7dc9a&code=081elvY90k3kSy1WSDW90ZsgY90elvY6&state=1 HTTP/1.1 Host: wechat.laixuanzuo.com Connection: keep-alive Upgrade-Insecure-Requests: 1 User-Agent: Mozilla/5.0 (Linux; Android 7.0; PRO 7 Plus Build/NRD90M; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/66.0.3359.126 MQQBrowser/6.2 TBS/044904 Mobile Safari/537.36 MMWEBID/4071 MicroMessenger/7.0.7.1521(0x27000736) Process/tools NetType/4G Language/zh_CN Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,image/wxpic,image/sharpp,image/apng,image/tpg,*/*;q=0.8 Accept-Encoding: gzip, deflate, br Accept-Language: zh-CN,en-US;q=0.9 Cookie: FROM_TYPE=weixin; Hm_lvt_7838cef374eb966ae9ff502c68d6f098=1570464181; Hm_lpvt_7838cef374eb966ae9ff502c68d6f098=1570489433; wechatSESS_ID=85807fb3863be66e8b868e4dfce18da0
# '''
# zl = 'test 捡漏 sxau; 10281, 0; 0,0; wechatSESS_ID=89040c2998084ed651a8a7991ce11264 -- 时间=21:40 模式=今天 平台=来选座'
# zl = 'test tj sxau; wechatSESS_ID=89040c2998084ed651a8a7991ce11264 -- 时间=21:40 模式=今天 平台=来选座'
# zl = 'test jl, bjtu 323, 0, 323, 1 wechatSESS_ID=de2e1d47c50c59709ebb5ee102ea6f738092499495a61e5e SERVERID=b9fc7bd86d2eed91b23d7347e0ee995e|1572577791|1572577787 -- 模式=今天'
zl = 'test tj, sxau wechatSESS_ID=0d9a58a026826c2f6aebb2d3926eb01d -- 平台=来选座'
# zl = 'test cx, wnsfxy'
# zl = 'test jl,wnsfxy, 10110, 0, 0 ,0, wechatSESS_ID=35ed243f92be7b748a21d53cce7179b9 -- 平台=来选座 模式=今天'
zl = 'test jl；sxau；10238；086；10238；004；wechatSESS_ID=0d9a58a026826c2f6aebb2d3926eb01d -- 平台=来选座'
res = handle_msg(userid='userid_test_' + str(i), content=zl, my_id='my_id_' + str(i), LOCAL=LOCAL)
mc.client_close()
debug_p('complete!\n', res)
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13,
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30573,
30688,
232,
186,
180,
234,
151,
182,
31088,
30210,
1989,
13,
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376,
29721,
1115,
376,
29900,
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29900,
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29908,
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396,
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193,
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13,
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13,
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29923,
5387,
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235,
138,
183,
31237,
31745,
235,
178,
178,
3850,
13,
13,
13,
12008,
13,
1990,
363,
9920,
10944,
2910,
304,
740,
13,
12008,
13,
13,
13,
1990,
315,
3487,
6678,
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13,
13,
1678,
315,
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10192,
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426,
13,
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232,
187,
177,
31931,
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29905,
29876,
742,
13,
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525,
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29950,
6670,
29925,
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525,
31478,
233,
141,
165,
31780,
31084,
31650,
31472,
31088,
31590,
30847,
30557,
31168,
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31084,
31650,
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29937,
233,
141,
165,
31780,
29936,
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30415,
31071,
31144,
30333,
234,
177,
131,
31685,
29936,
29871,
30688,
231,
188,
163,
232,
177,
167,
333,
29936,
31780,
30956,
30850,
29936,
29871,
30688,
231,
188,
163,
232,
177,
167,
333,
29936,
31780,
30956,
30850,
29936,
591,
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29918,
29879,
404,
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333,
29936,
1923,
333,
29936,
742,
13,
4706,
525,
29907,
5773,
29918,
3210,
16658,
2396,
525,
525,
13,
1678,
500,
13,
13,
1678,
379,
6670,
29925,
29918,
11690,
353,
426,
13,
13,
1678,
500,
13,
13,
1678,
3700,
29918,
1417,
353,
426,
13,
4706,
525,
1066,
3321,
2396,
6024,
243,
162,
155,
134,
13420,
525,
243,
162,
155,
146,
13420,
525,
243,
162,
155,
132,
13420,
525,
243,
162,
155,
143,
13420,
525,
243,
162,
155,
159,
13420,
525,
243,
162,
155,
160,
742,
525,
243,
162,
155,
133,
525,
1402,
13,
4706,
525,
331,
4317,
2396,
6024,
243,
162,
155,
133,
7464,
13,
4706,
525,
22198,
2396,
6024,
243,
162,
155,
133,
742,
525,
243,
162,
155,
179,
13420,
525,
243,
162,
155,
176,
13420,
525,
243,
162,
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525,
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162,
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171,
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525,
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162,
155,
186,
13420,
525,
243,
162,
155,
151,
2033,
13,
1678,
500,
13,
13,
1678,
822,
679,
1417,
29898,
15581,
2433,
331,
4317,
29374,
13,
4706,
565,
7353,
1275,
448,
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29901,
13,
9651,
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353,
525,
22198,
29915,
13,
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25342,
7353,
1275,
29871,
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29901,
13,
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353,
525,
1066,
3321,
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13,
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13,
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331,
4317,
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13,
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736,
4036,
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16957,
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23651,
6678,
29889,
2161,
29918,
1417,
29961,
15581,
2314,
13,
13,
1678,
14550,
13,
1678,
6623,
29918,
459,
296,
603,
13,
1678,
14550,
13,
1678,
396,
732,
13239,
29889,
12510,
29918,
11739,
13,
1678,
822,
6623,
29918,
459,
296,
603,
29898,
1792,
333,
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2793,
1125,
13,
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396,
921,
29887,
29939,
22381,
29926,
29892,
289,
29926,
9161,
29892,
29871,
29906,
29900,
29901,
29941,
29945,
13,
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396,
1015,
296,
603,
584,
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29906,
29900,
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29941,
29945,
13,
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29880,
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11889,
29918,
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5550,
5850,
3210,
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13,
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296,
603,
353,
1015,
296,
603,
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5451,
877,
29899,
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29900,
1822,
6506,
12839,
742,
525,
29901,
1495,
13,
13,
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396,
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29953,
29901,
29900,
29900,
6660,
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29900,
29953,
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29900,
29900,
13,
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565,
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459,
296,
603,
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2314,
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13,
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296,
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13,
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29900,
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6660,
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29900,
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29900,
29901,
29900,
29900,
13,
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565,
1015,
296,
603,
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2798,
877,
29901,
1495,
1275,
29871,
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29901,
13,
9651,
1015,
296,
603,
4619,
525,
29901,
29900,
29900,
29915,
13,
13,
4706,
565,
451,
1364,
29880,
29918,
370,
1182,
470,
451,
1015,
296,
603,
470,
1015,
296,
603,
29889,
2798,
877,
29901,
1495,
529,
29871,
29896,
29901,
13,
9651,
736,
525,
1545,
1598,
29918,
459,
296,
603,
5229,
29915,
13,
4706,
396,
16924,
1364,
29880,
29918,
1982,
29918,
303,
1526,
11368,
1722,
29918,
2230,
353,
525,
29900,
29900,
29901,
29900,
29900,
29915,
5754,
1364,
29880,
29918,
370,
1182,
763,
29871,
525,
29890,
29926,
9161,
2670,
13,
4706,
4576,
29918,
5504,
353,
525,
14474,
525,
718,
18074,
433,
312,
29889,
22625,
29918,
816,
29880,
29918,
1982,
29918,
303,
1526,
718,
525,
11368,
1722,
29918,
2230,
353,
320,
4907,
718,
1015,
296,
603,
718,
11297,
29915,
29871,
5754,
1364,
29880,
29918,
370,
1182,
763,
320,
4907,
718,
1364,
29880,
29918,
370,
1182,
29889,
13609,
580,
718,
11297,
2670,
29915,
13,
4706,
18074,
433,
312,
29889,
2764,
29889,
7978,
29898,
2850,
29918,
5504,
29897,
13,
4706,
18074,
433,
312,
29889,
13082,
29889,
15060,
580,
13,
13,
4706,
736,
525,
1545,
1598,
29918,
459,
296,
603,
8348,
29915,
13,
13,
1678,
14550,
13,
1678,
1423,
3762,
5235,
565,
1863,
13,
1678,
14550,
13,
1678,
822,
1423,
29918,
27041,
29898,
1792,
333,
29892,
2793,
1125,
13,
4706,
1423,
29918,
9006,
29918,
710,
353,
16321,
31213,
235,
178,
165,
29936,
29871,
30415,
31071,
31144,
30333,
234,
177,
131,
31685,
29915,
13,
4706,
5235,
353,
426,
13,
9651,
525,
27902,
29918,
26061,
29918,
4830,
2396,
315,
3487,
6678,
29889,
657,
1417,
6278,
29896,
29897,
718,
525,
31904,
30732,
31369,
31955,
29901,
31478,
31084,
31650,
31168,
30607,
30682,
30815,
30417,
235,
178,
178,
31472,
29936,
31088,
31590,
30847,
30557,
31084,
31650,
31213,
235,
178,
165,
30415,
31071,
30689,
31021,
3583,
29876,
29905,
29876,
29915,
718,
1423,
29918,
9006,
29918,
710,
29892,
13,
9651,
525,
816,
29880,
29918,
3888,
29918,
1333,
29918,
11940,
2396,
315,
3487,
6678,
29889,
657,
1417,
6278,
29896,
29897,
718,
525,
233,
157,
133,
31352,
15974,
27041,
29918,
3888,
6525,
29871,
30210,
30688,
231,
188,
163,
232,
177,
167,
30689,
31021,
30214,
31088,
30910,
31545,
31478,
31538,
30666,
31472,
31084,
31650,
31174,
30448,
30415,
31071,
30689,
31021,
31538,
30666,
31608,
31168,
30607,
30847,
30557,
3583,
29876,
29905,
29876,
29937,
31538,
30666,
30415,
31071,
29936,
29871,
30415,
31071,
31144,
30333,
234,
177,
131,
31685,
29936,
591,
13496,
29918,
29879,
404,
29918,
333,
29936,
1923,
333,
742,
13,
9651,
525,
3198,
29918,
2146,
617,
2396,
315,
3487,
6678,
29889,
657,
1417,
29898,
29896,
29897,
718,
525,
31213,
235,
178,
165,
30494,
31134,
30214,
19660,
27041,
29918,
978,
7402,
29912,
816,
29880,
29918,
370,
1182,
6525,
30688,
231,
188,
163,
232,
177,
167,
30689,
31021,
30847,
30557,
3583,
29876,
29905,
29876,
29912,
1990,
1758,
29918,
1982,
333,
1012,
29876,
31026,
31182,
233,
141,
165,
31780,
30594,
31016,
30383,
29912,
3150,
29918,
2230,
10162,
13,
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500,
13,
4706,
3653,
29918,
978,
353,
525,
29961,
3198,
29918,
27041,
29962,
29915,
13,
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13128,
29918,
3137,
353,
2793,
29889,
5451,
29898,
9207,
29889,
11889,
29918,
29907,
5773,
29918,
5550,
5850,
3210,
29897,
13,
4706,
565,
7431,
29898,
7050,
29918,
3137,
29897,
529,
29871,
29906,
29901,
13,
9651,
736,
5235,
1839,
27902,
29918,
26061,
29918,
4830,
2033,
13,
4706,
17117,
1364,
29880,
29918,
370,
1182,
353,
13128,
29918,
3137,
7503,
29906,
29962,
13,
13,
4706,
396,
1423,
518,
27041,
29918,
978,
29962,
12949,
1958,
848,
1863,
470,
451,
29936,
396,
426,
1792,
29918,
978,
11283,
742,
816,
29880,
29918,
370,
1182,
11283,
742,
525,
3150,
29918,
2230,
22099,
742,
3762,
29918,
978,
11283,
742,
770,
8345,
10834,
10998,
1990,
8345,
29918,
978,
2396,
1990,
8345,
29918,
978,
5501,
1982,
333,
2396,
1982,
333,
29892,
525,
2084,
2396,
1990,
8345,
29918,
2084,
5501,
344,
271,
29918,
1958,
2396,
4907,
29087,
1118,
8875,
856,
12258,
13,
4706,
1404,
29918,
5527,
29918,
8977,
353,
18074,
433,
312,
29889,
1972,
29918,
27041,
29918,
3888,
29898,
816,
29880,
29918,
370,
1182,
29922,
816,
29880,
29918,
370,
1182,
29897,
29871,
396,
1919,
4303,
333,
29896,
2433,
742,
4303,
333,
29906,
29922,
1982,
333,
29906,
29897,
13,
4706,
4744,
29918,
29886,
877,
9891,
29918,
978,
29922,
742,
3653,
29918,
978,
29892,
525,
1972,
29918,
27041,
29918,
3888,
580,
742,
1404,
29918,
5527,
29918,
8977,
29897,
13,
4706,
565,
451,
1404,
29918,
5527,
29918,
8977,
29901,
13,
9651,
396,
1364,
29880,
29918,
3888,
29918,
1333,
29918,
11940,
13,
9651,
8908,
29918,
726,
353,
5235,
1839,
816,
29880,
29918,
3888,
29918,
1333,
29918,
11940,
13359,
6506,
877,
29912,
27041,
29918,
3888,
29913,
742,
1364,
29880,
29918,
370,
1182,
29897,
13,
9651,
4744,
29918,
29886,
877,
9891,
29918,
978,
29922,
742,
3653,
29918,
978,
29892,
525,
3445,
368,
29918,
726,
29922,
742,
8908,
29918,
726,
29897,
13,
9651,
736,
8908,
29918,
726,
13,
4706,
1683,
29901,
13,
9651,
3762,
29918,
978,
353,
1404,
29918,
5527,
29918,
8977,
29889,
657,
877,
27041,
29918,
978,
742,
525,
27041,
29918,
978,
1495,
13,
9651,
396,
1364,
29880,
29918,
3888,
29918,
11940,
13,
9651,
8908,
29918,
726,
353,
5235,
1839,
3198,
29918,
2146,
617,
13359,
6506,
877,
29912,
27041,
29918,
978,
29913,
742,
3762,
29918,
978,
467,
6506,
877,
29912,
816,
29880,
29918,
370,
1182,
29913,
742,
1364,
29880,
29918,
370,
1182,
467,
6506,
877,
29912,
3150,
29918,
2230,
29913,
742,
1404,
29918,
5527,
29918,
8977,
29889,
657,
877,
3150,
29918,
2230,
742,
525,
489,
20296,
1495,
467,
6506,
877,
29912,
1990,
1758,
29918,
1982,
333,
29913,
742,
11297,
29876,
4286,
7122,
4197,
29872,
1839,
1990,
8345,
29918,
978,
2033,
718,
17411,
333,
2433,
718,
851,
29898,
29872,
1839,
1982,
333,
11287,
363,
321,
297,
1404,
29918,
5527,
29918,
8977,
1839,
1990,
8345,
2033,
12622,
13,
9651,
4744,
29918,
29886,
877,
9891,
29918,
978,
29922,
742,
3653,
29918,
978,
29892,
525,
3445,
368,
29918,
726,
29922,
742,
8908,
29918,
726,
29897,
13,
9651,
736,
8908,
29918,
726,
13,
13,
1678,
14550,
13,
1678,
4889,
29918,
1202,
29918,
27041,
29918,
3888,
13,
1678,
14550,
13,
1678,
822,
4889,
29918,
1202,
29918,
27041,
29918,
3888,
29898,
1792,
333,
29892,
2793,
1125,
13,
4706,
3653,
29918,
978,
353,
525,
29961,
10118,
29918,
1202,
29918,
27041,
29918,
3888,
29962,
29915,
13,
4706,
4744,
29918,
29886,
29898,
9891,
29918,
978,
29892,
525,
3051,
29922,
742,
2793,
29897,
13,
4706,
736,
315,
3487,
6678,
29889,
1202,
29918,
27041,
29918,
3888,
29898,
1792,
333,
29922,
1792,
333,
29892,
2793,
29922,
3051,
29892,
4889,
29922,
5574,
29897,
13,
13,
1678,
14550,
13,
1678,
788,
3762,
29871,
5235,
13,
1678,
14550,
13,
1678,
822,
788,
29918,
27041,
29918,
3888,
29898,
1792,
333,
29892,
2793,
29892,
4889,
29922,
8824,
1125,
13,
4706,
14550,
13,
4706,
396,
31538,
30666,
30415,
31071,
29936,
289,
5838,
29883,
29936,
591,
13496,
29918,
29879,
404,
29918,
333,
29936,
1923,
333,
13,
4706,
14550,
13,
4706,
3653,
29918,
978,
353,
525,
29961,
1202,
29918,
27041,
29918,
3888,
29962,
29915,
13,
4706,
5235,
353,
426,
13,
9651,
525,
27902,
29918,
26061,
29918,
4830,
2396,
315,
3487,
6678,
29889,
657,
1417,
6278,
29896,
29897,
718,
525,
31904,
30732,
31369,
31955,
29901,
31478,
31538,
30666,
31084,
31650,
31168,
30607,
30682,
30815,
30417,
235,
178,
178,
31472,
31608,
29905,
29876,
30505,
30688,
31687,
31423,
30417,
236,
165,
135,
234,
189,
169,
31780,
30956,
30503,
30688,
231,
188,
163,
232,
177,
167,
31026,
31182,
30210,
31531,
31613,
30557,
30214,
31538,
30666,
31084,
31650,
31979,
30815,
30417,
31944,
31608,
31088,
31590,
30847,
30557,
31084,
31650,
31538,
30666,
30415,
31071,
30689,
31021,
3583,
29876,
29905,
29876,
29937,
31538,
30666,
30415,
31071,
29936,
29871,
30415,
31071,
31144,
30333,
234,
177,
131,
31685,
29936,
591,
13496,
29918,
29879,
404,
29918,
333,
29936,
1923,
333,
742,
13,
9651,
525,
27902,
29918,
26061,
29918,
705,
13496,
29918,
29879,
404,
29918,
333,
29918,
20965,
2396,
315,
3487,
6678,
29889,
657,
1417,
6278,
29896,
29897,
718,
525,
31904,
30732,
31369,
31955,
29901,
31478,
705,
13496,
29918,
29879,
404,
29918,
333,
29936,
1923,
333,
30682,
30815,
31369,
31944,
31472,
10436,
29876,
705,
13496,
29918,
29879,
404,
29918,
333,
30330,
2974,
333,
30392,
31383,
30698,
30688,
232,
186,
180,
31475,
233,
141,
150,
31473,
31024,
30683,
30210,
30214,
30413,
30392,
30858,
31507,
30755,
30806,
30210,
29939,
556,
1017,
14633,
30214,
232,
136,
186,
30988,
31024,
30683,
30525,
30545,
31088,
31811,
31084,
31650,
232,
187,
177,
31931,
30333,
233,
164,
166,
30267,
742,
13,
9651,
525,
26061,
29918,
1202,
29918,
27041,
29918,
19499,
2396,
315,
3487,
6678,
29889,
657,
1417,
6278,
29896,
29897,
718,
525,
31904,
30732,
31369,
31955,
29901,
31478,
232,
179,
160,
31787,
31024,
30683,
30688,
231,
188,
163,
232,
177,
167,
30689,
31021,
31369,
31955,
31472,
29905,
29876,
29871,
30505,
30688,
31687,
31423,
30417,
236,
165,
135,
234,
189,
169,
31780,
30956,
30503,
30688,
231,
188,
163,
232,
177,
167,
31026,
31182,
30210,
31531,
31613,
30557,
30214,
31538,
30666,
31084,
31650,
31979,
30815,
30417,
31944,
31608,
30923,
30936,
30544,
31745,
31088,
31986,
31185,
31624,
30687,
31911,
742,
13,
9651,
525,
284,
2040,
29918,
28997,
2396,
315,
3487,
6678,
29889,
657,
1417,
29898,
29896,
29897,
718,
525,
31904,
30732,
30494,
31134,
29901,
31478,
30415,
31071,
15974,
816,
29880,
29918,
370,
1182,
6525,
29871,
30210,
30688,
231,
188,
163,
232,
177,
167,
30689,
31021,
31290,
31412,
30946,
30505,
31472,
29936,
30688,
231,
188,
163,
232,
177,
167,
30689,
31021,
30847,
30557,
3583,
29876,
29905,
29876,
29912,
1990,
1758,
29918,
1982,
333,
1012,
29876,
31026,
31182,
233,
141,
165,
31780,
30594,
31016,
30383,
29912,
3150,
29918,
2230,
3400,
29905,
29876,
232,
194,
174,
30785,
30406,
233,
141,
165,
31780,
31084,
31650,
31538,
30666,
31450,
31358,
232,
147,
170,
30584,
29905,
29876,
30688,
231,
188,
163,
232,
177,
167,
30210,
30354,
31180,
1178,
29871,
30594,
31016,
30413,
30724,
31835,
31088,
31908,
236,
169,
139,
31624,
30687,
31911,
742,
13,
9651,
525,
2146,
617,
29918,
1202,
29918,
27041,
29918,
3888,
2396,
315,
3487,
6678,
29889,
657,
1417,
29898,
29896,
29897,
718,
525,
31904,
30732,
30494,
31134,
29901,
31478,
30494,
31134,
31538,
30666,
30415,
31071,
15974,
27041,
29918,
978,
7402,
29912,
816,
29880,
29918,
370,
1182,
6525,
29871,
30210,
30688,
231,
188,
163,
232,
177,
167,
30689,
31021,
31472,
29936,
30689,
31021,
30847,
30557,
3583,
29876,
29905,
29876,
29912,
1990,
1758,
29918,
1982,
333,
1012,
29876,
31026,
31182,
233,
141,
165,
31780,
30594,
31016,
30383,
29912,
3150,
29918,
2230,
1012,
29876,
30688,
231,
188,
163,
232,
177,
167,
30210,
30354,
31180,
1178,
29871,
30594,
31016,
30413,
30724,
31835,
31088,
31908,
236,
169,
139,
31624,
30687,
31911,
29915,
13,
13,
4706,
500,
13,
4706,
396,
396,
31538,
30666,
30415,
31071,
29892,
1364,
29880,
29918,
370,
1182,
29892,
27937,
29918,
333,
29892,
448,
29871,
30606,
31037,
29922,
30805,
31333,
31780,
13,
4706,
13128,
29918,
3137,
353,
2793,
29889,
5451,
29898,
9207,
29889,
11889,
29918,
29907,
5773,
29918,
5550,
5850,
3210,
29897,
13,
4706,
396,
565,
7431,
29898,
7050,
29918,
3137,
29897,
529,
29871,
29946,
29901,
13,
4706,
565,
7431,
29898,
7050,
29918,
3137,
29897,
529,
29871,
29941,
29901,
13,
9651,
736,
5235,
1839,
27902,
29918,
26061,
29918,
4830,
2033,
13,
4706,
396,
17117,
1364,
29880,
29918,
370,
1182,
29892,
591,
13496,
29918,
29879,
404,
29918,
333,
29892,
1923,
333,
353,
13128,
29918,
3137,
7503,
29946,
29962,
13,
4706,
17117,
1364,
29880,
29918,
370,
1182,
29892,
591,
13496,
29918,
29879,
404,
29918,
333,
353,
13128,
29918,
3137,
7503,
29941,
29962,
13,
13,
4706,
9920,
29918,
8977,
353,
3667,
29879,
29889,
5510,
29918,
17833,
29918,
9006,
29898,
17833,
29918,
9006,
29922,
3051,
29897,
13,
4706,
396,
2069,
263,
29918,
7662,
13,
4706,
396,
565,
9920,
29918,
8977,
29889,
657,
877,
12120,
1495,
1275,
525,
1783,
12445,
2396,
13,
4706,
263,
29918,
7662,
353,
3667,
29879,
29889,
4178,
1278,
29898,
12120,
29922,
9006,
29918,
8977,
29889,
657,
877,
12120,
742,
17861,
29889,
7390,
1299,
19094,
1839,
6259,
14632,
25901,
13,
13,
4706,
396,
1364,
29880,
29918,
370,
1182,
6782,
304,
29871,
5224,
13,
4706,
1364,
29880,
29918,
370,
1182,
353,
851,
29898,
816,
29880,
29918,
370,
1182,
467,
6506,
877,
29961,
742,
525,
2824,
6506,
877,
29962,
742,
525,
2824,
13609,
580,
13,
13,
4706,
396,
11539,
29918,
1989,
353,
525,
233,
133,
171,
31076,
29915,
13,
4706,
396,
3142,
29918,
5184,
3488,
353,
525,
991,
597,
705,
13496,
29889,
29894,
29906,
29889,
15003,
524,
29889,
510,
29914,
2248,
29889,
1961,
29914,
690,
7143,
29914,
2248,
29889,
1420,
29973,
29888,
29922,
705,
13496,
29915,
13,
4706,
396,
396,
5445,
21046,
13,
4706,
396,
565,
1923,
333,
29889,
5451,
877,
29989,
1495,
2804,
29871,
29941,
29901,
13,
4706,
396,
268,
1923,
333,
353,
1923,
333,
29889,
5451,
877,
29989,
29861,
29900,
29962,
718,
525,
29989,
29915,
718,
525,
29896,
29906,
29941,
29946,
29945,
29953,
29955,
29947,
29929,
29900,
29915,
718,
525,
29989,
29915,
718,
263,
29918,
7662,
29889,
29924,
29918,
3217,
8949,
29059,
1839,
18603,
1367,
13359,
5451,
877,
29989,
1495,
14352,
29896,
29962,
13,
4706,
396,
263,
29918,
7662,
29889,
29924,
29918,
3217,
8949,
29059,
353,
3667,
29879,
29889,
5589,
29918,
15108,
583,
29898,
15108,
583,
29922,
29874,
29918,
7662,
29889,
29924,
29918,
3217,
8949,
29059,
29892,
1923,
333,
29922,
2974,
333,
29892,
591,
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29918,
29879,
404,
29918,
333,
29922,
705,
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29918,
29879,
404,
29918,
333,
29897,
13,
4706,
263,
29918,
7662,
29889,
29924,
29918,
3217,
8949,
29059,
353,
3667,
29879,
29889,
5589,
29918,
15108,
583,
29898,
15108,
583,
29922,
29874,
29918,
7662,
29889,
29924,
29918,
3217,
8949,
29059,
29892,
591,
13496,
29918,
29879,
404,
29918,
333,
29922,
705,
13496,
29918,
29879,
404,
29918,
333,
29892,
7481,
29922,
29874,
29918,
7662,
29889,
12120,
29897,
13,
4706,
396,
6251,
3271,
3488,
13,
4706,
3271,
3488,
29918,
5327,
353,
3667,
29879,
29889,
657,
29918,
5327,
29898,
2271,
29922,
29874,
29918,
7662,
29889,
22484,
29450,
29918,
4219,
1839,
5184,
29918,
3488,
7464,
13,
462,
462,
1669,
27937,
29922,
9207,
29889,
29879,
404,
29892,
13,
462,
462,
1669,
286,
29918,
13662,
29922,
29874,
29918,
7662,
29889,
29924,
29918,
23252,
23598,
29892,
13,
462,
462,
1669,
286,
29918,
15108,
583,
29922,
29874,
29918,
7662,
29889,
29924,
29918,
3217,
8949,
29059,
29892,
13,
462,
462,
1669,
11539,
29918,
1989,
29922,
29874,
29918,
7662,
29889,
5348,
6545,
29979,
10818,
29918,
9800,
29918,
17353,
7228,
1692,
29897,
13,
4706,
565,
451,
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3888,
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2230,
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770,
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10834,
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1990,
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29918,
978,
5501,
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333,
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1982,
333,
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525,
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1990,
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29918,
2084,
5501,
344,
271,
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1118,
8875,
856,
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13,
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5527,
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8977,
353,
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430,
532,
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27041,
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3888,
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3488,
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2271,
2433,
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3271,
3488,
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29922,
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3488,
29918,
5327,
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13,
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396,
462,
462,
18884,
27937,
29922,
9207,
29889,
29879,
404,
29892,
286,
29918,
13662,
29922,
29874,
29918,
7662,
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29924,
29918,
23252,
23598,
29892,
13,
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396,
462,
462,
18884,
286,
29918,
15108,
583,
29922,
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29918,
7662,
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29924,
29918,
3217,
8949,
29059,
29892,
13,
9651,
396,
462,
462,
18884,
11539,
29918,
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2433,
742,
13,
9651,
396,
462,
462,
18884,
1364,
29880,
29918,
370,
1182,
29922,
816,
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370,
1182,
29892,
13,
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396,
462,
462,
18884,
7481,
29922,
29874,
29918,
7662,
29889,
12120,
29892,
13,
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396,
462,
462,
18884,
4576,
29918,
13082,
29922,
3044,
433,
312,
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13082,
13,
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396,
462,
462,
18884,
1723,
13,
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1404,
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5527,
29918,
8977,
353,
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430,
532,
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29918,
27041,
29918,
3888,
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29922,
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3488,
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13,
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462,
462,
965,
263,
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29922,
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13,
462,
462,
462,
965,
1364,
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29918,
370,
1182,
29922,
816,
29880,
29918,
370,
1182,
29892,
13,
462,
462,
462,
965,
27937,
29922,
9207,
29889,
29879,
404,
29892,
286,
29918,
13662,
29922,
29874,
29918,
7662,
29889,
29924,
29918,
23252,
23598,
29892,
13,
462,
462,
462,
965,
286,
29918,
15108,
583,
29922,
29874,
29918,
7662,
29889,
29924,
29918,
3217,
8949,
29059,
29892,
13,
462,
462,
462,
965,
4576,
29918,
13082,
29922,
3044,
433,
312,
29889,
13082,
13,
462,
462,
462,
965,
1723,
13,
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1683,
29901,
13,
9651,
396,
2307,
1863,
13,
9651,
8908,
29918,
726,
353,
5235,
1839,
284,
2040,
29918,
28997,
13359,
6506,
877,
29912,
816,
29880,
29918,
370,
1182,
29913,
742,
1364,
29880,
29918,
370,
1182,
467,
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877,
29912,
3150,
29918,
2230,
29913,
742,
1404,
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5527,
29918,
8977,
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657,
877,
3150,
29918,
2230,
742,
525,
489,
20296,
1495,
467,
6506,
877,
29912,
1990,
1758,
29918,
1982,
333,
29913,
742,
11297,
29876,
4286,
7122,
4197,
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1839,
1990,
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29918,
978,
2033,
718,
17411,
333,
2433,
718,
851,
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1839,
1982,
333,
11287,
363,
321,
297,
1404,
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5527,
29918,
8977,
1839,
1990,
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2033,
12622,
13,
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4744,
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877,
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29918,
978,
29922,
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3653,
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978,
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368,
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13,
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13,
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657,
877,
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29918,
2230,
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525,
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1495,
467,
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877,
29912,
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1758,
29918,
1982,
333,
29913,
742,
11297,
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4286,
7122,
4197,
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1839,
1990,
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29918,
978,
2033,
718,
17411,
333,
2433,
718,
851,
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1839,
1982,
333,
11287,
363,
321,
297,
1404,
29918,
5527,
29918,
8977,
1839,
1990,
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2033,
12622,
13,
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4744,
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978,
29922,
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3653,
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978,
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525,
3445,
368,
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726,
29922,
742,
8908,
29918,
726,
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13,
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736,
8908,
29918,
726,
13,
13,
1678,
14550,
13,
1678,
6088,
9637,
29892,
2457,
1923,
333,
591,
13496,
29918,
29879,
404,
29918,
333,
29871,
396,
322,
1023,
931,
995,
13,
1678,
14550,
13,
1678,
822,
6088,
29918,
15003,
29898,
1792,
333,
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2793,
1125,
13,
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396,
11539,
2793,
3402,
13,
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5235,
353,
426,
13,
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525,
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29918,
26061,
2396,
315,
3487,
6678,
29889,
657,
1417,
6278,
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29897,
718,
525,
233,
133,
171,
30910,
31545,
30210,
9637,
29871,
31071,
236,
173,
143,
31168,
30607,
30413,
30768,
31138,
30214,
31088,
30908,
30374,
31024,
30683,
30822,
31733,
232,
179,
160,
31787,
30584,
29915,
13,
13,
4706,
500,
13,
13,
4706,
565,
7431,
29898,
3051,
29897,
529,
29871,
29896,
29900,
29900,
29901,
13,
9651,
736,
5235,
1839,
27902,
29918,
26061,
2033,
13,
4706,
565,
2793,
29889,
2886,
877,
705,
13496,
1660,
1799,
29918,
1367,
1495,
529,
29871,
29900,
29901,
13,
9651,
736,
5235,
1839,
27902,
29918,
26061,
2033,
718,
11297,
29876,
29915,
718,
525,
31423,
30417,
233,
140,
193,
31201,
233,
161,
147,
30544,
591,
13496,
1660,
1799,
29918,
1367,
29871,
30578,
31559,
29915,
13,
4706,
396,
25342,
2793,
29889,
2886,
877,
18603,
1367,
1495,
29966,
29900,
29901,
13,
4706,
396,
268,
736,
5235,
1839,
27902,
29918,
26061,
2033,
29974,
12764,
29876,
18717,
29915,
31423,
30417,
233,
140,
193,
31201,
233,
161,
147,
30544,
26996,
5348,
1367,
29871,
30578,
31559,
29915,
13,
13,
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1018,
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13,
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2793,
4619,
525,
2056,
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13,
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396,
4766,
353,
337,
29889,
12198,
29898,
29878,
29915,
18603,
1367,
29905,
2013,
29893,
3124,
4295,
29881,
29912,
29896,
29900,
1012,
4295,
29881,
29912,
29896,
29900,
29913,
1495,
13,
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396,
26996,
5348,
1367,
353,
4766,
29889,
4478,
29898,
3051,
467,
2972,
29898,
29900,
29897,
13,
13,
9651,
4766,
353,
337,
29889,
12198,
29898,
29878,
29915,
705,
13496,
1660,
1799,
29918,
1367,
29905,
2013,
29893,
29974,
10780,
29922,
7110,
29879,
29936,
2314,
1495,
13,
9651,
591,
13496,
1660,
1799,
29918,
1367,
353,
4766,
29889,
4478,
29898,
3051,
467,
2972,
29898,
29900,
29897,
13,
13,
9651,
396,
4766,
353,
337,
29889,
12198,
29898,
29878,
29915,
10780,
14065,
29950,
29885,
29918,
29880,
21908,
3187,
29893,
29912,
29941,
29906,
1012,
29922,
2144,
29881,
29912,
29896,
29900,
2119,
29973,
29922,
7110,
29879,
29936,
2314,
1495,
13,
9651,
396,
379,
29885,
29918,
29880,
21908,
29918,
2230,
353,
4766,
29889,
4478,
29898,
3051,
467,
2972,
29898,
29900,
29897,
13,
9651,
396,
13,
9651,
396,
26996,
5348,
1367,
29918,
2230,
29918,
29906,
353,
337,
29889,
12198,
29898,
29878,
29915,
10780,
14065,
18603,
1367,
29905,
2013,
29893,
29912,
29941,
29906,
1012,
4295,
29881,
29912,
29896,
29900,
1012,
29989,
2144,
29881,
29912,
29896,
29900,
2119,
29973,
29922,
7110,
29879,
29936,
2314,
1495,
13,
9651,
396,
26996,
5348,
1367,
29918,
2230,
29918,
29906,
353,
4766,
29889,
4478,
29898,
3051,
467,
2972,
29898,
29900,
29897,
13,
13,
9651,
736,
11297,
29876,
29915,
718,
591,
13496,
1660,
1799,
29918,
1367,
718,
11297,
29876,
29915,
29871,
396,
718,
18603,
1367,
13,
13,
4706,
5174,
8960,
408,
321,
29901,
13,
9651,
4744,
29918,
29886,
877,
29961,
29923,
5387,
3158,
518,
29995,
29879,
29962,
5229,
29892,
3682,
338,
1273,
29879,
29915,
1273,
6702,
5510,
29918,
15003,
742,
2062,
29898,
29872,
4961,
13,
9651,
736,
5235,
1839,
27902,
29918,
26061,
2033,
718,
525,
29961,
705,
13496,
1660,
1799,
29918,
1367,
29871,
31423,
30417,
233,
140,
193,
30780,
29962,
29915,
13,
13,
1678,
14550,
13,
1678,
1855,
2230,
13,
1678,
14550,
13,
1678,
822,
1855,
2230,
29898,
1792,
333,
29892,
2793,
1125,
13,
4706,
3653,
29918,
978,
353,
16321,
276,
1997,
603,
29915,
13,
4706,
4744,
29918,
29886,
877,
9891,
29918,
978,
29922,
742,
3653,
29918,
978,
29892,
525,
1792,
333,
29892,
2793,
742,
1404,
333,
29892,
2793,
29897,
13,
4706,
736,
315,
3487,
6678,
29889,
3874,
29890,
29918,
344,
271,
29898,
1792,
333,
29892,
2793,
29892,
3414,
29918,
14380,
29922,
9207,
29889,
29911,
3289,
29968,
29918,
29968,
22255,
1839,
276,
1997,
603,
11287,
13,
13,
1678,
14550,
13,
1678,
17229,
29918,
344,
271,
13,
1678,
14550,
13,
1678,
822,
17229,
29918,
344,
271,
29898,
1792,
333,
29892,
2793,
29892,
3414,
29918,
14380,
29922,
9207,
29889,
29911,
3289,
29968,
29918,
29968,
22255,
1839,
690,
7143,
2033,
1125,
13,
4706,
14550,
13,
308,
31195,
30594,
236,
165,
135,
30495,
891,
29871,
233,
144,
164,
233,
191,
146,
891,
432,
29880,
891,
396,
29606,
891,
29871,
30592,
30325,
236,
165,
135,
234,
189,
169,
891,
29871,
233,
141,
165,
31780,
891,
396,
29939,
29920,
891,
3855,
29920,
268,
31608,
13,
308,
30415,
31071,
31144,
30333,
234,
177,
131,
31685,
891,
29871,
31688,
233,
142,
191,
31608,
13,
308,
30688,
231,
188,
163,
232,
177,
167,
333,
29896,
31608,
31780,
30956,
30850,
29896,
31608,
30688,
231,
188,
163,
232,
177,
167,
333,
29906,
30214,
31780,
30956,
30850,
29906,
31608,
13,
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1923,
333,
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705,
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29918,
29879,
404,
29918,
333,
13,
4706,
4805,
29918,
3888,
29901,
13,
4706,
429,
5410,
259,
31688,
30936,
233,
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] |
vespa/simulation/auto_gui/calculate_add_sub.py | vespa-mrs/vespa | 0 | 143845 | # -*- coding: UTF-8 -*-
#
# generated by wxGlade 0.9.3 on Wed Sep 11 13:49:50 2019
#
import wx
# begin wxGlade: dependencies
# end wxGlade
# begin wxGlade: extracode
# end wxGlade
class MyDialog(wx.Dialog):
def __init__(self, *args, **kwds):
# begin wxGlade: MyDialog.__init__
kwds["style"] = kwds.get("style", 0) | wx.DEFAULT_DIALOG_STYLE | wx.RESIZE_BORDER
wx.Dialog.__init__(self, *args, **kwds)
self.LabelInstructions = wx.StaticText(self, wx.ID_ANY, "Instructions\n\nSelect the experiment dimension (by Loop name) that contains the Off/On states \nof the Edited pulse seqeunce Experiment. \n\nNote that the Loop dimension size must be at least two and that the Off state \nis expected to be the first entry in the Loop followed by the On state in the\nsecond entry in this Loop.\n\nIf a Loop selection does not have a dimension of at leas two, then the widget \nwill reset to the first dimension that does.")
self.ChoiceLoop = wx.Choice(self, wx.ID_ANY, choices=["Loop 1", "Loop 2", "Loop 3"])
self.label_1 = wx.StaticText(self, wx.ID_ANY, "Comment - will be appended to new Add/Sub Experiment comment:")
self.TextComment = wx.TextCtrl(self, wx.ID_ANY, "", style=wx.TE_MULTILINE)
self.LabelStatus = wx.StaticText(self, wx.ID_ANY, "Welcome")
self.LabelOkCancelPlaceholder = wx.StaticText(self, wx.ID_ANY, "LabelOkCancelPlaceholder", style=wx.ALIGN_RIGHT)
self.__set_properties()
self.__do_layout()
self.Bind(wx.EVT_CHOICE, self.on_loop, self.ChoiceLoop)
# end wxGlade
def __set_properties(self):
# begin wxGlade: MyDialog.__set_properties
self.SetTitle("Calculate Add/Sub to New Tab")
self.ChoiceLoop.SetSelection(0)
self.TextComment.SetMinSize((640, 90))
# end wxGlade
def __do_layout(self):
# begin wxGlade: MyDialog.__do_layout
sizer_1 = wx.BoxSizer(wx.VERTICAL)
sizer_5 = wx.BoxSizer(wx.HORIZONTAL)
sizer_1_copy = wx.BoxSizer(wx.VERTICAL)
sizer_2 = wx.BoxSizer(wx.VERTICAL)
sizer_3 = wx.BoxSizer(wx.HORIZONTAL)
sizer_3.Add(self.LabelInstructions, 0, wx.EXPAND, 0)
sizer_1_copy.Add(sizer_3, 0, wx.ALL | wx.EXPAND, 4)
sizer_1_copy.Add(self.ChoiceLoop, 0, wx.ALL | wx.EXPAND, 8)
sizer_2.Add(self.label_1, 0, wx.BOTTOM | wx.TOP, 4)
sizer_2.Add(self.TextComment, 0, wx.EXPAND, 0)
sizer_1_copy.Add(sizer_2, 0, wx.ALL | wx.EXPAND, 4)
sizer_1.Add(sizer_1_copy, 0, wx.EXPAND, 0)
sizer_5.Add(self.LabelStatus, 1, wx.ALIGN_CENTER_VERTICAL | wx.BOTTOM | wx.LEFT | wx.TOP, 10)
sizer_5.Add(self.LabelOkCancelPlaceholder, 0, wx.ALIGN_CENTER_VERTICAL, 0)
sizer_1.Add(sizer_5, 0, wx.BOTTOM | wx.EXPAND | wx.RIGHT | wx.TOP, 10)
self.SetSizer(sizer_1)
sizer_1.Fit(self)
self.Layout()
# end wxGlade
def on_loop(self, event): # wxGlade: MyDialog.<event_handler>
print("Event handler 'on_loop' not implemented!")
event.Skip()
# end of class MyDialog
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tests/py/test_state_chain.py | devmiyax/liberapay.com | 1 | 77662 | <filename>tests/py/test_state_chain.py
# coding: utf8
from __future__ import absolute_import, division, print_function, unicode_literals
from base64 import b64encode
import json
from pando.exceptions import MalformedBody, UnknownBodyType
from pando.http.request import Request
from pando.http.response import Response
from liberapay.constants import SESSION
from liberapay.security import csrf
from liberapay.testing import Harness
class Tests(Harness):
def setUp(self):
Harness.setUp(self)
self.client.website.canonical_scheme = 'https'
self.client.website.canonical_host = 'example.com'
self._cookie_domain = self.client.website.cookie_domain
self.client.website.cookie_domain = b'.example.com'
def tearDown(self):
Harness.tearDown(self)
website = self.client.website
website.canonical_scheme = website.env.canonical_scheme
website.canonical_host = website.env.canonical_host
website.cookie_domain = self._cookie_domain
def test_canonize_canonizes(self):
response = self.client.GxT("/",
HTTP_HOST=b'example.com',
HTTP_X_FORWARDED_PROTO=b'http',
)
assert response.code == 302
assert response.headers[b'Location'] == b'https://example.com/'
assert response.headers[b'Cache-Control'] == b'public, max-age=86400'
def test_no_cookies_over_http(self):
"""
We don't want to send cookies over HTTP, especially not CSRF and
session cookies, for obvious security reasons.
"""
alice = self.make_participant('alice')
redirect = self.client.GET("/",
auth_as=alice,
HTTP_X_FORWARDED_PROTO=b'http',
HTTP_HOST=b'example.com',
raise_immediately=False,
)
assert redirect.code == 302
assert not redirect.headers.cookie
def test_early_failures_dont_break_everything(self):
old_from_wsgi = Request.from_wsgi
def broken_from_wsgi(*a, **kw):
raise Response(400)
try:
Request.from_wsgi = classmethod(broken_from_wsgi)
assert self.client.GET("/", raise_immediately=False).code == 400
finally:
Request.from_wsgi = old_from_wsgi
def test_i18n_subdomain_works(self):
r = self.client.GET(
'/',
HTTP_X_FORWARDED_PROTO=b'https', HTTP_HOST=b'fr.example.com',
raise_immediately=False,
)
assert r.code == 200
assert '<html lang="fr">' in r.text
assert 'À propos' in r.text
def test_i18n_subdomain_is_redirected_to_https(self):
r = self.client.GET(
'/',
HTTP_X_FORWARDED_PROTO=b'http', HTTP_HOST=b'en.example.com',
raise_immediately=False,
)
assert r.code == 302
assert not r.headers.cookie
assert r.headers[b'Location'] == b'https://en.example.com/'
def test_csrf_cookie_properties(self):
r = self.client.GET(
'/',
HTTP_X_FORWARDED_PROTO=b'https', HTTP_HOST=b'en.example.com',
csrf_token=None, raise_immediately=False,
)
assert r.code == 200
cookie = r.headers.cookie[csrf.CSRF_TOKEN]
assert cookie[str('domain')] == str('.example.com')
assert cookie[str('expires')][-4:] == str(' GMT')
assert cookie[str('path')] == str('/')
assert cookie[str('secure')] is True
class Tests2(Harness):
def test_basic_auth_works_and_doesnt_return_a_session_cookie(self):
alice = self.make_participant('alice')
password = 'password'
alice.update_password(password)
auth_header = b'Basic ' + b64encode(('%s:%s' % (alice.id, password)).encode('ascii'))
r = self.client.GET('/', HTTP_AUTHORIZATION=auth_header)
assert r.code == 200
assert SESSION not in r.headers.cookie
def test_basic_auth_malformed_header_returns_400(self):
auth_header = b'Basic ' + b64encode(b'bad')
r = self.client.GxT('/', HTTP_AUTHORIZATION=auth_header)
assert r.code == 400
assert r.text == 'Malformed "Authorization" header'
def test_basic_auth_bad_userid_returns_401(self):
auth_header = b'Basic ' + b64encode(b'admin:admin')
r = self.client.GxT('/', HTTP_AUTHORIZATION=auth_header)
assert r.code == 401
def test_basic_auth_no_password_returns_401(self):
alice = self.make_participant('alice')
assert alice.id == 1
auth_header = b'Basic ' + b64encode(b'1:')
r = self.client.GxT('/', HTTP_AUTHORIZATION=auth_header)
assert r.code == 401
def test_accept_header_is_respected(self):
r = self.client.GET('/about/stats', HTTP_ACCEPT=b'application/json')
assert r.headers[b'Content-Type'] == b'application/json; charset=UTF-8'
json.loads(r.text)
def test_error_spt_works(self):
r = self.client.POST('/', csrf_token=False, raise_immediately=False)
assert r.code == 403
def test_cors_is_not_allowed_by_default(self):
r = self.client.GET('/')
assert b'Access-Control-Allow-Origin' not in r.headers
def test_cors_is_allowed_for_assets(self):
r = self.client.GET('/assets/jquery.min.js')
assert r.code == 200
assert r.headers[b'Access-Control-Allow-Origin'] == b'*'
def test_caching_of_assets(self):
r = self.client.GET('/assets/jquery.min.js')
assert r.headers[b'Cache-Control'] == b'public, max-age=3600'
assert b'Vary' not in r.headers
assert not r.headers.cookie
def test_caching_of_assets_with_etag(self):
r = self.client.GET(self.client.website.asset('jquery.min.js'))
assert r.headers[b'Cache-Control'] == b'public, max-age=31536000'
assert b'Vary' not in r.headers
assert not r.headers.cookie
def test_caching_of_simplates(self):
r = self.client.GET('/')
assert r.headers[b'Cache-Control'] == b'no-cache'
assert b'Vary' not in r.headers
def test_no_csrf_cookie(self):
r = self.client.POST('/', csrf_token=False, raise_immediately=False)
assert r.code == 403
assert "Bad CSRF cookie" in r.text
assert csrf.CSRF_TOKEN in r.headers.cookie
def test_no_csrf_cookie_unknown_method_on_asset(self):
r = self.client.hit('UNKNOWN', '/assets/base.css', csrf_token=False,
raise_immediately=False)
assert r.code == 200 # this should be a 405, that's a "bug" in aspen
def test_bad_csrf_cookie(self):
r = self.client.POST('/', csrf_token='bad_<PASSWORD>', raise_immediately=False)
assert r.code == 403
assert "Bad CSRF cookie" in r.text
assert r.headers.cookie[csrf.CSRF_TOKEN].value != 'bad_token'
def test_csrf_cookie_set_for_most_requests(self):
r = self.client.GET('/')
assert csrf.CSRF_TOKEN in r.headers.cookie
def test_no_csrf_cookie_set_for_assets(self):
r = self.client.GET('/assets/base.css')
assert csrf.CSRF_TOKEN not in r.headers.cookie
def test_sanitize_token_passes_through_good_token(self):
token = '<PASSWORD>'
assert csrf._sanitize_token(token) == token
def test_sanitize_token_rejects_overlong_token(self):
token = 'ddd<PASSWORD>'
assert csrf._sanitize_token(token) is None
def test_sanitize_token_rejects_underlong_token(self):
token = 'ddd<PASSWORD>'
assert csrf._sanitize_token(token) is None
def test_sanitize_token_rejects_goofy_token(self):
token = '<PASSWORD>'
assert csrf._sanitize_token(token) is None
def test_malformed_body(self):
with self.assertRaises(MalformedBody):
self.client.POST('/', body=b'a', content_type=b'application/json')
def test_unknown_body_type(self):
with self.assertRaises(UnknownBodyType):
self.client.POST('/', body=b'x', content_type=b'unknown/x')
def test_non_dict_body(self):
r = self.client.POST('/', body=b'[]', content_type=b'application/json')
assert r.code == 200
def test_no_trailing_slash_redirects(self):
r = self.client.GET('/foo', raise_immediately=False)
assert r.code == 404, r.text
def test_null_byte_results_in_400(self):
r = self.client.GET('/foo%00', raise_immediately=False)
assert r.code == 400, r.text
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problems/ic_45_graph_coloring.py | gregdferrell/algo | 0 | 94273 | <reponame>gregdferrell/algo
#
# Problem: Given an undirected graph with maximum degree, find a graph coloring using at most D+1 colors.
#
def color_graph_first_available(graph, colors):
"""
Solution: For each graph node, assign to it the first color not in the list of neighbor colors.
Complexity: (where n is # nodes, d is max degrees)
Time: O(n * (d + d+1 + 1)) -> O(n * d)
Space: O(g) -> size of graph
"""
# For every node
for node in graph:
if node in node.neighbors:
raise ValueError('cannot color graph with node loops')
# Look at each neighbor and create a set of their colors
neighbor_colors = set([neighbor.color for neighbor in node.neighbors if neighbor.color])
# Look at each color and create a set of available colors not in the neighbor colors set
available_colors = [color for color in colors if color not in neighbor_colors]
# Take the first available
node.color = available_colors[0]
def color_graph_first_available_slightly_faster(graph, colors):
"""
Solution: For each graph node, assign to it the first available color not used by one of its neighbors.
Complexity: (where n is # nodes, d is max degrees)
Time: O(n * d)
Space: O(g) -> size of graph
"""
for node in graph:
if node in node.neighbors:
raise ValueError('cannot color graph with node loops')
# Look at each neighbor and create a set of their colors
neighbor_colors = set([neighbor.color for neighbor in node.neighbors if neighbor.color])
for color in colors:
if color not in neighbor_colors:
node.color = color
break
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script/testing/reporting/parsers/oltpbench/res_parser.py | weijietong/noisepage | 2 | 83861 | import csv
import json
from reporting.utils import get_value_by_pattern
from reporting.constants import LATENCY_ATTRIBUTE_MAPPING
def parse_res_file(path):
"""Read data from file ends with ".res".
Args:
path (str): The position of the res file.
Returns:
incremental_metrics (list, json array): The throughput at different time.
"""
with open(path) as csvfile:
reader = csv.DictReader(csvfile, delimiter=',')
incremental_metrics = []
for row in reader:
metrics_instance = {
"time": float(get_value_by_pattern(row, 'time', None)),
"throughput": float(get_value_by_pattern(row, 'throughput', None))
}
latency = {}
for key, pattern in LATENCY_ATTRIBUTE_MAPPING:
value = get_value_by_pattern(row, pattern, None)
latency[key] = float("{:.4}".format(value)) if value else value
metrics_instance['latency'] = latency
incremental_metrics.append(metrics_instance)
return incremental_metrics
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planbee/tracking/planbee_models/bee_tracking_object.py | Plan-Bee/planbee_yolov5 | 0 | 43254 | import math
from .hive_position import HivePosition
from .bee_movement import BeeMovement
class BeeTrackingObject:
object_id: int
start_frame_id: int
end_frame_id: int
end_age: int
position_estimates: [(int, int)]
angle: int = -1 # 0° is if the bee flies "to the right on the x-axis". Angle turns clockwise
flight_distance: float
flies_out_of_frame: bool
bee_movement: BeeMovement
def __init__(self, object_id: int, start_frame_id: int, age: int, initial_estimate: tuple):
self.object_id = object_id
self.start_frame_id = start_frame_id
self.end_frame_id = start_frame_id
self.end_age = age
self.position_estimates = [initial_estimate]
def _calculate_directions(self, hive_position: HivePosition, moving_offset: int):
"""
Calculates where the bee is going to
Args:
hive_position: The position of the hive in the frame
moving_offset: In pixels on the frame. Has to be calculated based on the image resolution!
"""
# Check if the bee moves more than the required offset
if self.flight_distance < moving_offset:
self.bee_movement = BeeMovement.NO_MOVEMENT
return
# Calculate angles
greater_than_angle = (hive_position.value - 90) % 360
smaller_than_angle = (hive_position.value + 90) % 360
start_coordinates = self.position_estimates[0]
end_coordinates = self.position_estimates[-1]
x_difference = end_coordinates[0] - start_coordinates[0]
y_difference = end_coordinates[1] - start_coordinates[1]
self.angle = int(math.degrees(math.atan2(y_difference, x_difference)) % 360)
if greater_than_angle < smaller_than_angle:
# HivePos.LEFT: greater than: 90, smaller than: 270
# Bee: 300 Deg
# Bee flies away -> is between angles has to be FALSE
is_between_angles = self.angle in range(greater_than_angle, smaller_than_angle)
else:
# HivePos.RIGHT: greater than: 270, smaller than: 90
# Bee: 300 Deg
# Bee flies to hive -> is between angles has to be TRUE
is_between_angles = self.angle not in range(smaller_than_angle, greater_than_angle)
if self.flies_out_of_frame and is_between_angles:
self.bee_movement = BeeMovement.TO_HIVE
elif self.flies_out_of_frame:
self.bee_movement = BeeMovement.FROM_HIVE
else:
self.bee_movement = BeeMovement.NO_MOVEMENT
# print(f'{self.object_id}: {self.angle} ({x_difference}, {y_difference}), to: {flies_to}')
def _calculate_distances(self):
start_coordinates = self.position_estimates[0]
end_coordinates = self.position_estimates[-1]
x_difference = end_coordinates[0] - start_coordinates[0]
y_difference = end_coordinates[1] - start_coordinates[1]
hypo = math.sqrt(x_difference ** 2 + y_difference ** 2)
self.flight_distance = hypo
def determine_movement(self, hive_position, moving_offset):
self._calculate_distances()
self._calculate_directions(hive_position, moving_offset)
def get_attribute_dict(self) -> dict:
return {
'object_id': self.object_id,
'start_frame_id': self.start_frame_id,
'end_frame_id': self.end_frame_id,
'end_age': self.end_age,
'estimates': self.position_estimates,
'angle': self.angle,
'flight_distance': self.flight_distance,
'flies_out_of_frame': self.flies_out_of_frame,
'bee_movement': self.bee_movement.name
}
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calculator/operations/calculation.py | jharilal/calculator_assignment | 0 | 194341 | """This is the calculation class / abstraction class"""
class Calculation:
"""Creates the Calculation parent class for the arithmetic subclasses"""
# pylint: disable=bad-option-value, too-few-public-methods
def __init__(self, values: tuple):
"""Constructor Method"""
self.values = Calculation.convert_to_float(values)
@classmethod
def create(cls, values: tuple):
"""Creates an object"""
return cls(values)
@staticmethod
def convert_to_float(values):
"""Converts the values passed to function into float values in a list"""
list_of_floats = []
for item in values:
list_of_floats.append(float(item))
return tuple(list_of_floats)
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Tests/test_hook_manager.py | joshuaboniface/kalliope | 1 | 137430 | import unittest
import os
import mock as mock
import inspect
import shutil
from kalliope.core.Models import Singleton
from kalliope.core.ConfigurationManager import SettingLoader
from kalliope.core import HookManager
from kalliope.core.Models.Settings import Settings
class TestInit(unittest.TestCase):
def setUp(self):
# Init the folders, otherwise it raises an exceptions
os.makedirs("/tmp/kalliope/tests/kalliope_resources_dir/neurons")
os.makedirs("/tmp/kalliope/tests/kalliope_resources_dir/stt")
os.makedirs("/tmp/kalliope/tests/kalliope_resources_dir/tts")
os.makedirs("/tmp/kalliope/tests/kalliope_resources_dir/trigger")
# get current script directory path. We are in /an/unknown/path/kalliope/core/tests
cur_script_directory = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
# get parent dir. Now we are in /an/unknown/path/kalliope
root_dir = os.path.normpath(cur_script_directory + os.sep + os.pardir)
self.settings_file_to_test = root_dir + os.sep + "Tests/settings/settings_test.yml"
self.settings = SettingLoader(file_path=self.settings_file_to_test)
def tearDown(self):
# Cleanup
shutil.rmtree('/tmp/kalliope/tests/kalliope_resources_dir')
Singleton._instances = {}
def test_on_start(self):
"""
test list of synapse
"""
with mock.patch("kalliope.core.SynapseLauncher.start_synapse_by_list_name") as mock_synapse_launcher:
HookManager.on_start()
mock_synapse_launcher.assert_called_with(["on-start-synapse", "bring-led-on"], new_lifo=True)
mock_synapse_launcher.reset_mock()
def test_on_waiting_for_trigger(self):
"""
test with single synapse
"""
with mock.patch("kalliope.core.SynapseLauncher.start_synapse_by_name") as mock_synapse_launcher:
HookManager.on_waiting_for_trigger()
mock_synapse_launcher.assert_called_with("test", new_lifo=True)
mock_synapse_launcher.reset_mock()
def test_on_triggered(self):
with mock.patch("kalliope.core.SynapseLauncher.start_synapse_by_list_name") as mock_synapse_launcher:
HookManager.on_triggered()
mock_synapse_launcher.assert_called_with(["on-triggered-synapse"], new_lifo=True)
mock_synapse_launcher.reset_mock()
def test_on_start_listening(self):
self.assertIsNone(HookManager.on_start_listening())
def test_on_stop_listening(self):
self.assertIsNone(HookManager.on_stop_listening())
def test_on_order_found(self):
self.assertIsNone(HookManager.on_order_found())
def test_on_order_not_found(self):
with mock.patch("kalliope.core.SynapseLauncher.start_synapse_by_list_name") as mock_synapse_launcher:
HookManager.on_order_not_found()
mock_synapse_launcher.assert_called_with(["order-not-found-synapse"], new_lifo=True)
mock_synapse_launcher.reset_mock()
def test_on_mute(self):
"""
test that empty list of synapse return none
"""
self.assertIsNone(HookManager.on_mute())
if __name__ == '__main__':
unittest.main()
# suite = unittest.TestSuite()
# suite.addTest(TestInit("test_main"))
# runner = unittest.TextTestRunner()
# runner.run(suite)
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app/__init__.py | ecsnavarretemit/cmsc265-image-search-engine-skin | 0 | 89373 | <filename>app/__init__.py
# __init__.py
#
# Author(s):
# <NAME> <<EMAIL>>
#
# Licensed under MIT
# Version 1.0.0
import os
import sys
from flask import Flask
from flask_caching import Cache
# instantiate the application
app = Flask(__name__, instance_relative_config=True)
# initialize application configuration
app.config.from_object('app.default_settings')
# use the instance configuration
app.config.from_pyfile('application.cfg', silent=True)
# load the file specified by the APP_CONFIG_FILE environment variable
# variables defined here will override those in the default configuration
app.config.from_envvar('APP_CONFIG_FILE', silent=True)
# setup caching
cache = Cache(app, config={
'CACHE_TYPE': app.config['CACHE_TYPE'],
'CACHE_DIR': app.config['CACHE_DIRECTORY']
})
# Register views from here
from .views.home import home
# Register application blueprints
app.register_blueprint(home)
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isotope/run_tests.py | daixiang0/tools | 264 | 79576 | #!/usr/bin/env python3
# Copyright Istio Authors
#
# 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, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
import logging
from runner import cluster, config as cfg, consts, entrypoint, mesh, pipeline
def main(args: argparse.Namespace) -> None:
log_level = getattr(logging, args.log_level)
logging.basicConfig(level=log_level, format='%(levelname)s\t> %(message)s')
config = cfg.from_toml_file(args.config_path)
cluster.set_up_if_not_exists(
config.cluster_project_id, config.cluster_name, config.cluster_zones,
config.cluster_version, config.server_machine_type,
config.server_disk_size_gb, config.server_num_nodes,
config.client_machine_type, config.client_disk_size_gb)
for topology_path in config.topology_paths:
for env_name in config.environments:
entrypoint_service_name = entrypoint.extract_name(topology_path)
mesh_environment = mesh.for_state(
env_name, entrypoint_service_name,
consts.SERVICE_GRAPH_NAMESPACE, config, args.helm_values)
pipeline.run(topology_path, mesh_environment, config.server_image,
config.client_image, config.istio_archive_url,
config.client_qps, config.client_duration,
config.client_num_conc_conns, config.labels())
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser()
parser.add_argument('config_path', type=str)
parser.add_argument('helm_values', type=str)
parser.add_argument(
'--log_level',
type=str,
choices=['CRITICAL', 'ERROR', 'WARNING', 'INFO', 'DEBUG'],
default='DEBUG')
return parser.parse_args()
if __name__ == '__main__':
args = parse_args()
main(args)
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bank_account_app/bank_account/migrations/0007_transaction_status.py | Gogee90/Bank-account | 0 | 154028 | # Generated by Django 4.0.3 on 2022-03-22 15:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('bank_account', '0006_transaction_recipient_bank_account'),
]
operations = [
migrations.AddField(
model_name='transaction',
name='status',
field=models.BooleanField(default=True),
),
]
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rfdesigner/__main__.py | fronzbot/python-rfdesigner | 1 | 77933 | """Main CLI entry point for RFDesigner."""
import sys
from rfdesigner.cli import RFcli
from rfdesigner.options import entry_arguments
from rfdesigner.netlist import parse_netlist, IMPLEMENTED_BLOCKS
def display_implemented():
"""Display implemented variables."""
implemented_string = "Available blocks for netlisting:"
for block in IMPLEMENTED_BLOCKS:
implemented_string += f"\n - {block}"
implemented_string += "\n"
return implemented_string
def display_properties(props):
"""Display supported properties for a block."""
prop_string = "Available properties:\n"
for prop in props:
prop_string += f" - <block>.{prop[0]:<14}units={prop[2]:<6}{prop[1]}\n"
return prop_string
def main():
"""CLI handler."""
parser = entry_arguments()
args = parser.parse_args()
if args.implemented:
print(display_implemented())
sys.exit(0)
if args.properties:
cls = IMPLEMENTED_BLOCKS[args.properties]()
print(display_properties(cls.supported))
sys.exit(0)
if args.validate:
netlist = args.validate
result = parse_netlist(netlist)
if not result:
print("Netlist incorrect.")
sys.exit(1)
print(result)
sys.exit(0)
rfcli = RFcli()
sys.exit(rfcli.cmdloop())
if __name__ == "__main__":
main()
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source/server/annotation/migrations/0002_auto_20200622_0656.py | shizacat/shanno | 1 | 37648 | <reponame>shizacat/shanno
# Generated by Django 3.0.7 on 2020-06-22 06:56
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('annotation', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='projects',
name='type',
field=models.CharField(choices=[('text_label', 'Text Labeling'), ('document_classificaton', 'Document classification')], max_length=50),
),
migrations.CreateModel(
name='DCDocLabel',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('document', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='dl_doc', to='annotation.Documents')),
('label', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='dl_label', to='annotation.TlLabels')),
],
options={
'unique_together': {('document', 'label')},
},
),
]
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src/data_handlers/data_containers.py | Maxim-Mushizky/aws_data_collector | 1 | 129429 | from dataclasses import dataclass, field
from datetime import datetime
from typing import (
List,
Optional,
Dict
)
@dataclass(frozen=True)
class Ids:
image_id: Optional[str] = field(default_factory=str)
instance_id: Optional[str] = field(default_factory=str)
reservation_id: Optional[str] = field(default_factory=str)
@dataclass(frozen=True)
class NetworkSettings:
ip6_address: List = field(default_factory=list)
private_dns_name: str = field(default_factory=str)
private_ip_address: str = field(default_factory=str)
subnet_id: Optional[str] = field(default_factory=str)
interface_type: Optional[str] = field(default_factory=str)
status: Optional[str] = field(default_factory=str)
@dataclass(frozen=True)
class Tags:
tags: Dict = field(default_factory=dict)
@dataclass(frozen=True)
class PlatformDetails:
os: str = field(default_factory=str)
@dataclass(frozen=True)
class Specs:
cpu: Dict = field(default_factory=dict)
memory: int = field(default_factory=int)
instance_type: str = field(default_factory=str)
@dataclass(frozen=True)
class Times:
launch_time: Optional[datetime] = field(default=None)
usage_operation_update_time: Optional[datetime] = field(default=None)
@dataclass(frozen=True)
class SecurityGroups:
groups: List[Dict] = field(default_factory=list)
@dataclass(frozen=True)
class Placement:
availability_zone: str = field(default_factory=str)
@dataclass(frozen=True)
class Token:
access_key_id: str = field(default="default")
secret_access_key: str = field(default="default")
@dataclass(frozen=True)
class EC2Data:
token: Token = field(default_factory=Token)
ids: Optional[Ids] = field(default=None)
network_settings: Optional[NetworkSettings] = field(default=None)
platform_details: Optional[PlatformDetails] = field(default=None)
tags: Optional[Tags] = field(default=None)
times: Optional[Times] = field(default=None)
security_groups: Optional[SecurityGroups] = field(default=None)
specs: Optional[Specs] = field(default=None)
placement: Optional[Placement] = field(default=None)
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kryptobot/ta/pyti_average_true_range.py | eristoddle/Kryptobot | 24 | 137265 | from .generic_indicator import GenericIndicator
from pyti.average_true_range import average_true_range as atr
# params: period
# https://github.com/kylejusticemagnuson/pyti/blob/master/pyti/average_true_range.py
class PytiAverageTrueRange(GenericIndicator):
def __init__(self, market, interval, periods, params=None):
super().__init__(market, interval, periods, None, None, params)
def get_analysis(self, data):
return atr(data, self.params['period'])[-1]
def next_calculation(self, candle):
if self.get_datawindow() is not None:
self.value = self.get_analysis(self.get_close())
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datageneration/dbmake_h264hits.py | utlive/VIDMAP | 1 | 34454 | <reponame>utlive/VIDMAP<filename>datageneration/dbmake_h264hits.py
import skimage.io
import skvideo.io
import os
import h5py
from sklearn.externals import joblib
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import f1_score
import scipy.misc
import scipy.signal
import numpy as np
from sporco import util
import matplotlib.pyplot as plt
import pylab as py
import glob
from PIL import Image
import cv2
import sys
def get_postrainpatches(hdf5_im, hdf5_lab, hdf5_trainset, offsets, idx=0, traintest=0):
return genericpospatcher(hdf5_im, hdf5_lab, hdf5_trainset, offsets, idx=idx, traintest=traintest)
def genericpospatcher(hdf5_im, hdf5_lab, hdf5_trainset, offsets, idx=0, traintest=0):
width = 256
height = 256
lst480p = np.array(glob.glob("/mnt/hd3/scenes/480p/*avi"))
lst1080p = np.array(glob.glob("/mnt/hd3/scenes/1080p/*avi"))
lst480p = np.sort(lst480p)
lst1080p = np.sort(lst1080p)
if traintest == 0:
lst = np.hstack((lst480p[:575], lst1080p[:215]))
else:
lst = np.hstack((lst480p[575:], lst1080p[215:]))
for repeates in [1, 2]:
n_samples = len(lst)
for fidx, fname in enumerate(lst):
print fidx, n_samples, fname
#vid = skvideo.io.vread(fname, as_grey=True).astype(np.float32)
cmd = "ffmpeg -y -nostats -loglevel 0 -i %s -codec:v libx264 -g 50 -mpv_flags +strict_gop -bsf noise=2000000 -b:v 40000k /tmp/test_distorted.mp4" % (fname,)
os.system(cmd)
cmd = "ffmpeg -y -nostats -loglevel 0 -ec 0 -i /tmp/test_distorted.mp4 -vcodec rawvideo -pix_fmt yuv420p /tmp/test_distorted.avi"
os.system(cmd)
cmd = "ffmpeg -y -nostats -loglevel 0 -i %s -codec:v mpeg2video -b:v 40000k /tmp/test_pristine.mp4" % (fname,)
os.system(cmd)
cmd = "ffmpeg -y -nostats -loglevel 0 -ec 0 -i /tmp/test_pristine.mp4 -vcodec rawvideo -pix_fmt yuv420p /tmp/test_pristine.avi"
os.system(cmd)
vid_dis = skvideo.io.vread("/tmp/test_distorted.avi", as_grey=True).astype(np.float32)
vid_pris = skvideo.io.vread("/tmp/test_pristine.avi", as_grey=True).astype(np.float32)
os.remove("/tmp/test_distorted.mp4")
os.remove("/tmp/test_pristine.mp4")
os.remove("/tmp/test_distorted.avi")
os.remove("/tmp/test_pristine.avi")
T, H, W, C = vid_dis.shape
adj_h = H - height
adj_w = W - width
iv, jv = np.meshgrid(np.arange(adj_h), np.arange(adj_w), sparse=False, indexing='ij')
iv = iv.reshape(-1)
jv = jv.reshape(-1)
jdx = np.random.permutation(adj_h*adj_w)
iv = iv[jdx]
jv = jv[jdx]
tv = np.arange(1, T-1)
limit = 0
for (y, x) in zip(iv, jv):
np.random.shuffle(tv)
t = tv[0]
goodpatch = vid_pris[t-1:t+2, y:y+height, x:x+width, 0]
badpatch = vid_dis[t-1:t+2, y:y+height, x:x+width, 0]
# difference the magntudes, so we don't worry about phase shifts
if badpatch.shape[0] == goodpatch.shape[0]:
diff = np.mean(np.abs(badpatch[1, 30:-30, 30:-30] - goodpatch[1, 30:-30, 30:-30])**2)
if diff < 50:
continue
# check that either the previous frame or next frame match exactly, except where the middle frame doesn't match
# this ensures that the difference measured is not because of frame mis-alignment
error1 = np.sum((goodpatch[0] - badpatch[0])**2)
error2 = np.sum((goodpatch[2] - badpatch[2])**2)
print error1, error2
else:
continue
# check for no variance img
if np.std(badpatch[0, 30:-30, 30:-30]) < 10:
continue
if np.std(badpatch[1, 30:-30, 30:-30]) < 10:
continue
if np.std(badpatch[2, 30:-30, 30:-30]) < 10:
continue
#goodpatch = goodpatch.astype(np.uint8)
#badpatch = badpatch.astype(np.uint8)
#badimg = badpatch[0].astype(np.uint8)
#skimage.io.imsave("dump/patch_%d.png" % (idx,), badimg)
#print diff
#skimage.io.imsave("/tmp/test_%d.png" % (limit,), np.hstack((goodpatch.astype(np.uint8), badpatch.astype(np.uint8))))
#preprocess = preprocess[:, 5:-5, 5:-5]
hdf5_im[idx] = badpatch
hdf5_lab[idx] = 1
hdf5_trainset[idx] = traintest
offsets[idx] = [y, x]
#skimage.io.imsave("extract/%d.png" % (idx,), patch)
limit += 1
idx += 1
if limit >= 10:
break
return idx
def get_negtrainpatches(image_patches, labels, hdf5_traintest, offsets, idx=0, traintest=0):
return genericnegpatcher(image_patches, labels, hdf5_traintest, offsets, idx=idx, traintest=traintest)
def genericnegpatcher(hdf5_im, hdf5_lab, hdf5_traintest, offsets, idx=0, traintest=0):
width = 256
height = 256
#lst = glob.glob("/mnt/hd3/databases/video/film_pristine/480p/*/*mpg")
lst480p = np.array(glob.glob("/mnt/hd3/scenes/480p/*avi"))
lst1080p = np.array(glob.glob("/mnt/hd3/scenes/1080p/*avi"))
lst480p = np.sort(lst480p)
lst1080p = np.sort(lst1080p)
if traintest == 0:
lst = np.hstack((lst480p[:575], lst1080p[:215]))
else:
lst = np.hstack((lst480p[575:], lst1080p[215:]))
n_samples = len(lst)
for fidx, fname in enumerate(lst):
print fidx, n_samples, fname
#vid = skvideo.io.vread(fname, as_grey=True).astype(np.float32)
cmd = "ffmpeg -y -nostats -loglevel 0 -i %s -codec:v h264 -b:v 40000k /tmp/test_pristine.mp4" % (fname,)
os.system(cmd)
vid_pris = skvideo.io.vread("/tmp/test_pristine.mp4", inputdict={'-ec': '0'}, as_grey=True).astype(np.float32)
T, H, W, C = vid_pris.shape
adj_h = H - height
adj_w = W - width
iv, jv = np.meshgrid(np.arange(adj_h), np.arange(adj_w), sparse=False, indexing='ij')
iv = iv.reshape(-1)
jv = jv.reshape(-1)
jdx = np.random.permutation(adj_h*adj_w)
iv = iv[jdx]
jv = jv[jdx]
tv = np.arange(1, T-1)
limit = 0
for (y, x) in zip(iv, jv):
np.random.shuffle(tv)
t = tv[0]
goodpatch = vid_pris[t-1:t+2, y:y+height, x:x+width, 0]
#print diff
#skimage.io.imsave("/tmp/test_%d.png" % (limit,), np.hstack((goodpatch.astype(np.uint8), badpatch.astype(np.uint8))))
hdf5_im[idx] = goodpatch
hdf5_lab[idx] = 0
hdf5_traintest[idx] = traintest
offsets[idx] = [y, x]
#skimage.io.imsave("extract/%d.png" % (idx,), patch)
limit += 1
idx += 1
if limit >= 20:
break
return idx
# get the number of patches
np.random.seed(12345)
n_total_images = 62417
patch_height = 256
patch_width = 256
n_channels = 3
# sf = single frame
# fd = frame diff
f = h5py.File('/mnt/hd2/hitsdataset_sf_h264_2.hdf5', mode='w')
image_patches = f.create_dataset('image_patches', (n_total_images, n_channels, patch_height, patch_width), dtype='float')
image_patches.dims[0].label = 'batch'
image_patches.dims[1].label = 'channel'
image_patches.dims[2].label = 'height'
image_patches.dims[3].label = 'width'
labels = f.create_dataset('labels', (n_total_images,), dtype='uint8')
trainset = f.create_dataset('set', (n_total_images,), dtype='uint8')
offsets = f.create_dataset('offsets', (n_total_images, 2), dtype='int32')
n_idx = 0
n_idx = get_postrainpatches(image_patches, labels, trainset, offsets, n_idx, traintest=0)
n_idx = get_negtrainpatches(image_patches, labels, trainset, offsets, n_idx, traintest=0)
n_idx = get_postrainpatches(image_patches, labels, trainset, offsets, n_idx, traintest=1)
n_idx = get_negtrainpatches(image_patches, labels, trainset, offsets, n_idx, traintest=1)
print n_idx, n_total_images
#n_idx = get_negtestpatches(image_patches, labels, trainset, n_idx)
#n_idx = get_postestpatches(image_patches, labels, trainset, n_idx)
f.flush()
f.close()
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] |
fringes/python_zwoasi/zwoasi/examples/zwoasi_demo.py | drs251/fringes | 2 | 141054 | #!/usr/bin/env python
import argparse
import os
import sys
import time
import zwoasi as asi
__author__ = '<NAME>'
__version__ = '0.0.22'
__license__ = 'MIT'
def save_control_values(filename, settings):
filename += '.txt'
with open(filename, 'w') as f:
for k in sorted(settings.keys()):
f.write('%s: %s\n' % (k, str(settings[k])))
print('Camera settings saved to %s' % filename)
env_filename = os.getenv('ZWO_ASI_LIB')
parser = argparse.ArgumentParser(description='Process and save images from a camera')
parser.add_argument('filename',
nargs='?',
help='SDK library filename')
args = parser.parse_args()
# Initialize zwoasi with the name of the SDK library
if args.filename:
asi.init(args.filename)
elif env_filename:
asi.init(env_filename)
else:
print('The filename of the SDK library is required (or set ZWO_ASI_LIB environment variable with the filename)')
sys.exit(1)
num_cameras = asi.get_num_cameras()
if num_cameras == 0:
print('No cameras found')
sys.exit(0)
cameras_found = asi.list_cameras() # Models names of the connected cameras
if num_cameras == 1:
camera_id = 0
print('Found one camera: %s' % cameras_found[0])
else:
print('Found %d cameras' % num_cameras)
for n in range(num_cameras):
print(' %d: %s' % (n, cameras_found[n]))
# TO DO: allow user to select a camera
camera_id = 0
print('Using #%d: %s' % (camera_id, cameras_found[camera_id]))
camera = asi.Camera(camera_id)
camera_info = camera.get_camera_property()
# Get all of the camera controls
print('')
print('Camera controls:')
controls = camera.get_controls()
for cn in sorted(controls.keys()):
print(' %s:' % cn)
for k in sorted(controls[cn].keys()):
print(' %s: %s' % (k, repr(controls[cn][k])))
# Use minimum USB bandwidth permitted
camera.set_control_value(asi.ASI_BANDWIDTHOVERLOAD, camera.get_controls()['BandWidth']['MinValue'])
# Set some sensible defaults. They will need adjusting depending upon
# the sensitivity, lens and lighting conditions used.
camera.disable_dark_subtract()
camera.set_control_value(asi.ASI_GAIN, 150)
camera.set_control_value(asi.ASI_EXPOSURE, 30000)
camera.set_control_value(asi.ASI_WB_B, 99)
camera.set_control_value(asi.ASI_WB_R, 75)
camera.set_control_value(asi.ASI_GAMMA, 50)
camera.set_control_value(asi.ASI_BRIGHTNESS, 50)
camera.set_control_value(asi.ASI_FLIP, 0)
print('Enabling stills mode')
try:
# Force any single exposure to be halted
camera.stop_video_capture()
camera.stop_exposure()
except (KeyboardInterrupt, SystemExit):
raise
except:
pass
print('Capturing a single 8-bit mono image')
filename = 'image_mono.jpg'
camera.set_image_type(asi.ASI_IMG_RAW8)
camera.capture(filename=filename)
print('Saved to %s' % filename)
save_control_values(filename, camera.get_control_values())
print('Capturing a single 16-bit mono image')
filename = 'image_mono16.tiff'
camera.set_image_type(asi.ASI_IMG_RAW16)
camera.capture(filename=filename)
print('Saved to %s' % filename)
save_control_values(filename, camera.get_control_values())
if camera_info['IsColorCam']:
filename = 'image_color.jpg'
camera.set_image_type(asi.ASI_IMG_RGB24)
print('Capturing a single, color image')
camera.capture(filename=filename)
print('Saved to %s' % filename)
save_control_values(filename, camera.get_control_values())
else:
print('Color image not available with this camera')
# Enable video mode
try:
# Force any single exposure to be halted
camera.stop_exposure()
except (KeyboardInterrupt, SystemExit):
raise
except:
pass
print('Enabling video mode')
camera.start_video_capture()
# Restore all controls to default values except USB bandwidth
for c in controls:
if controls[c]['ControlType'] == asi.ASI_BANDWIDTHOVERLOAD:
continue
camera.set_control_value(controls[c]['ControlType'], controls[c]['DefaultValue'])
# Can autoexposure be used?
k = 'Exposure'
if 'Exposure' in controls and controls['Exposure']['IsAutoSupported']:
print('Enabling auto-exposure mode')
camera.set_control_value(asi.ASI_EXPOSURE,
controls['Exposure']['DefaultValue'],
auto=True)
if 'Gain' in controls and controls['Gain']['IsAutoSupported']:
print('Enabling automatic gain setting')
camera.set_control_value(asi.ASI_GAIN,
controls['Gain']['DefaultValue'],
auto=True)
# Keep max gain to the default but allow exposure to be increased to its maximum value if necessary
camera.set_control_value(controls['AutoExpMaxExp']['ControlType'], controls['AutoExpMaxExp']['MaxValue'])
print('Waiting for auto-exposure to compute correct settings ...')
sleep_interval = 0.100
df_last = None
gain_last = None
exposure_last = None
matches = 0
while True:
time.sleep(sleep_interval)
settings = camera.get_control_values()
df = camera.get_dropped_frames()
gain = settings['Gain']
exposure = settings['Exposure']
if df != df_last:
print(' Gain {gain:d} Exposure: {exposure:f} Dropped frames: {df:d}'
.format(gain=settings['Gain'],
exposure=settings['Exposure'],
df=df))
if gain == gain_last and exposure == exposure_last:
matches += 1
else:
matches = 0
if matches >= 5:
break
df_last = df
gain_last = gain
exposure_last = exposure
# Set the timeout, units are ms
timeout = (camera.get_control_value(asi.ASI_EXPOSURE)[0] / 1000) * 2 + 500
camera.default_timeout = timeout
if camera_info['IsColorCam']:
print('Capturing a single color frame')
filename = 'image_video_color.jpg'
camera.set_image_type(asi.ASI_IMG_RGB24)
camera.capture_video_frame(filename=filename)
else:
print('Capturing a single 8-bit mono frame')
filename = 'image_video_mono.jpg'
camera.set_image_type(asi.ASI_IMG_RAW8)
camera.capture_video_frame(filename=filename)
print('Saved to %s' % filename)
save_control_values(filename, camera.get_control_values())
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detect.py | tranbamanh229289/Facenet | 0 | 163201 | <filename>detect.py
from os import listdir
from PIL import Image
import numpy
from numpy import asarray
from numpy import savez_compressed
from matplotlib import pyplot as plt
from tensorflow.keras.models import load_model
#detection
def extract_face(filename ) :
image = Image.open(filename)
image = image.convert('RGB')
pixel = asarray(image)
image = Image.fromarray(pixel)
image = image.resize((160,160))
face_array = asarray(image)
return face_array
def load_face(link):
faces= list()
for i in listdir(link ):
path = link +i
face= extract_face (path )
faces.append(face)
return faces
def load_data(link ):
X=list()
Y=list()
for i in listdir (link ):
path = link+i+'/'
faces= load_face(path)
label = [i for _ in range (len(faces))]
X.extend(faces)
Y.extend(label)
return X,Y
link_train ='/home/face_id/Facenet/VN_train/'
link_test='/home/face_id/Facenet/VN_test/'
train_x ,train_y= load_data(link_train)
test_x,test_y=load_data(link_test)
savez_compressed('/home/face_id/Facenet/data.npz',train_x,train_y,test_x,test_y)
data=numpy.load('/home/face_id/Facenet/data.npz') | [
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loadtest/example3.py | elyssonmr/loadtest-TDC-POA2018 | 2 | 177676 | from random import randint
import os
from locust import HttpLocust, TaskSet, task
MAX_TIME = int(os.environ.get("MAX_TIME", 2000))
print(f"Response time should not be higher than {MAX_TIME} ms")
class APITasks(TaskSet):
def on_start(self):
for i in range(1, 6):
book = {
"Title": f"My Little Book {i}",
"ID": f"{i}"
}
self.client.post("/api/books", json=book)
def _check_response_time(self, resp):
elapsed = resp.elapsed.microseconds / 1000
if resp.status_code == 200 and elapsed > MAX_TIME:
resp.failure(
"Response time is bigger than expected. "
f"Got: {resp.elapsed}, expected: {MAX_TIME}")
@task(10)
def allBooks(self):
with self.client.get("/api/books", catch_response=True) as resp:
self._check_response_time(resp)
@task(5)
def especificBook(self):
seed = randint(1, 5)
with self.client.get(
f"/api/books/{seed}", name="/api/books/ID",
catch_response=True) as resp:
self._check_response_time(resp)
class APIUser(HttpLocust):
task_set = APITasks
min_wait = 5000
max_wait = 15000
host = "https://fakerestapi.azurewebsites.net"
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RecoLocalCalo/Configuration/python/ecalLocalRecoSequenceCosmics_cff.py | Purva-Chaudhari/cmssw | 852 | 41439 | <reponame>Purva-Chaudhari/cmssw
import FWCore.ParameterSet.Config as cms
# Calo geometry service model
#
# removed by tommaso
#
#ECAL conditions
# include "CalibCalorimetry/EcalTrivialCondModules/data/EcalTrivialCondRetriever.cfi"
#
#TPG condition needed by ecalRecHit producer if TT recovery is ON
from RecoLocalCalo.EcalRecProducers.ecalRecHitTPGConditions_cff import *
#ECAL reconstruction
from RecoLocalCalo.EcalRecProducers.ecalWeightUncalibRecHit_cfi import *
from RecoLocalCalo.EcalRecProducers.ecalFixedAlphaBetaFitUncalibRecHit_cfi import *
from RecoLocalCalo.EcalRecProducers.ecalRecHit_cff import *
ecalRecHit.cpu.EBuncalibRecHitCollection = 'ecalFixedAlphaBetaFitUncalibRecHit:EcalUncalibRecHitsEB'
ecalRecHit.cpu.EEuncalibRecHitCollection = 'ecalFixedAlphaBetaFitUncalibRecHit:EcalUncalibRecHitsEE'
ecalRecHit.cpu.ChannelStatusToBeExcluded = [
'kDAC',
'kNoLaser',
'kNoisy',
'kNNoisy',
'kFixedG6',
'kFixedG1',
'kFixedG0',
'kNonRespondingIsolated',
'kDeadVFE',
'kDeadFE',
'kNoDataNoTP'
]
from RecoLocalCalo.EcalRecProducers.ecalPreshowerRecHit_cfi import *
from RecoLocalCalo.EcalRecProducers.ecalDetIdToBeRecovered_cfi import *
ecalLocalRecoTaskCosmics = cms.Task(
ecalFixedAlphaBetaFitUncalibRecHit,
ecalWeightUncalibRecHit,
ecalDetIdToBeRecovered,
ecalCalibratedRecHitTask,
ecalPreshowerRecHit
)
ecalLocalRecoSequenceCosmics = cms.Sequence(ecalLocalRecoTaskCosmics)
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moya/tests/test_expose.py | moyaproject/moya | 129 | 172028 | <reponame>moyaproject/moya
from __future__ import unicode_literals
from __future__ import print_function
import unittest
import os
from moya import db
from moya import pilot
from moya.wsgi import WSGIApplication
from moya.console import Console
from moya.context import Context
from moya.context.tools import set_dynamic
class TestExpose(unittest.TestCase):
"""Test exposed Python code in a project."""
def setUp(self):
_path = os.path.abspath(os.path.dirname(__file__))
path = os.path.join(_path, "testproject")
self.application = WSGIApplication(
path,
"settings.ini",
strict=True,
validate_db=False,
disable_autoreload=True,
)
console = Console()
self.archive = self.application.archive
db.sync_all(self.archive, console)
self.context = context = Context()
self.archive.populate_context(context)
self.application.populate_context(context)
set_dynamic(context)
context[".console"] = console
def tearDown(self):
del self.archive
del self.application
def test_macros(self):
app = self.archive.apps["site"]
self.assertEqual(6, self.archive("macro.expose.double", self.context, app, n=3))
self.assertEqual(
21, self.archive("macro.expose.tripple", self.context, app, n=7)
)
def test_filters(self):
app = self.archive.apps["site"]
self.context[".app"] = app
with pilot.manage(self.context):
self.assertEqual(1000, self.context.eval("10|'cube'"))
self.assertEqual(1000, self.context.eval("10|'cube from site'"))
self.assertEqual(1000, self.context.eval("10|.app.filters.cube"))
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] |
split_test_train.py | malfonso0/mmdetection_object_detection_demo | 0 | 60868 | import random
import os
files= os.listdir("data/VOC2007/Annotations")
files = [os.path.splitext(file)[0] for file in files]
random.shuffle(files)
train_perc = .8
thres = int(len(files) * train_perc)
train=files[:thres]
test=files[thres+1:]
outfolder = "data/VOC2007/ImageSets/Main"
with open(os.path.join(outfolder, 'test.txt'), "w") as f:
f.write('\n'.join(test))
with open(os.path.join(outfolder, 'trainval.txt'), "w") as f:
f.write('\n'.join(train))
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] |
Discord Gamesense/botcommands.py | ATSchell/Discord-Gamesense | 1 | 77788 | <reponame>ATSchell/Discord-Gamesense
import discord
import GameSenseLinker as gsl
from discord.ext import commands
import time
tracker=discord.client()
config=gsl.loadConfig()
#setup Gamesense using loaded config data
@tracker.event
async def on_ready():
gsl.setup(config)
#main method to check various conditions of a message
@tracker.event
async def on_message(collect):
#Ignore if the message comes from you
if collect.author.id != config["User_Id"] :
#Find member info based off User_Id
user=tracker.get_member(config["User_Id"])
if user.mentioned_in(collect):
gsl.mentionEvent(config)
while user.status == 'idle':
time.sleep(15)
gsl.mentionEvent()
elif config["Alert_on_active"]:
gsl.messageEvent(config)
while user.status == 'idle':
time.sleep(15)
gsl.messageEvent()
tracker.run(config["token"])
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quarkchain/evm/tests/new_statetest_utils.py | QuarkChain/pyquarkchain | 237 | 46755 | <reponame>QuarkChain/pyquarkchain
import sys
from quarkchain.evm.state import State
from quarkchain.evm.common import FakeHeader
from quarkchain.evm.utils import (
decode_hex,
parse_int_or_hex,
sha3,
to_string,
remove_0x_head,
encode_hex,
big_endian_to_int,
)
from quarkchain.evm.config import default_config, Env
from quarkchain.config import get_default_evm_config
from quarkchain.evm.exceptions import InvalidTransaction
import quarkchain.evm.transactions as transactions
from quarkchain.evm.messages import apply_transaction
from quarkchain.evm.specials import specials, configure_special_contract_ts
import copy
import os
from quarkchain.db import InMemoryDb
from quarkchain.utils import token_id_encode
config_string = ":info,eth.vm.log:trace,eth.vm.op:trace,eth.vm.stack:trace,eth.vm.exit:trace,eth.pb.msg:trace,eth.pb.tx:debug"
konfig = copy.copy(default_config)
# configure_logging(config_string=config_string)
fixture_path = os.path.join(os.path.dirname(__file__), "../..", "fixtures")
fake_headers = {}
def mk_fake_header(blknum):
if blknum not in fake_headers:
fake_headers[blknum] = FakeHeader(sha3(to_string(blknum)))
return fake_headers[blknum]
basic_env = {
"currentCoinbase": "0x2adc25665018aa1fe0e6bc666dac8fc2697ff9ba",
"currentDifficulty": "0x020000",
"currentGasLimit": "0x7fffffffffffffff",
"currentNumber": "0x01",
"currentTimestamp": "0x03e8",
"previousHash": "0x5e20a0453cecd065ea59c37ac63e079ee08998b6045136a8ce6635c7912ec0b6",
}
evm_config = get_default_evm_config()
network_to_test = {"ConstantinopleFix"}
# Makes a diff between a prev and post state
def mk_state_diff(prev, post):
o = {}
for k in prev.keys():
if k not in post:
o[k] = ["-", prev[k]]
for k in post.keys():
if k not in prev:
o[k] = ["+", post[k]]
elif prev[k] != post[k]:
ok = {}
for key in ("nonce", "token_balances", "code"):
if prev[k][key] != post[k][key]:
ok[key] = [prev[k][key], "->", post[k][key]]
if prev[k]["storage"] != post[k]["storage"]:
ok["storage"] = {}
for sk in prev[k]["storage"].keys():
if sk not in post[k]["storage"]:
ok["storage"][sk] = ["-", prev[k]["storage"][sk]]
for sk in post[k]["storage"].keys():
if sk not in prev[k]["storage"]:
ok["storage"][sk] = ["+", post[k]["storage"][sk]]
else:
ok["storage"][sk] = [
prev[k]["storage"][sk],
"->",
post[k]["storage"][sk],
]
o[k] = ok
return o
# Compute a single unit of a state test
def compute_state_test_unit(state, txdata, indices, konfig, is_qkc_state, qkc_env=None):
state.env.config = konfig
s = state.snapshot()
if "transferTokenId" in txdata:
transfer_token_id = parse_int_or_hex(
txdata["transferTokenId"][indices["transferTokenId"]]
)
else:
transfer_token_id = token_id_encode("QKC")
try:
# Create the transaction
tx = transactions.Transaction(
nonce=parse_int_or_hex(txdata["nonce"] or b"0"),
gasprice=parse_int_or_hex(txdata["gasPrice"] or b"0"),
startgas=parse_int_or_hex(txdata["gasLimit"][indices["gas"]] or b"0"),
to=decode_hex(remove_0x_head(txdata["to"])),
value=parse_int_or_hex(txdata["value"][indices["value"]] or b"0"),
data=decode_hex(remove_0x_head(txdata["data"][indices["data"]])),
gas_token_id=token_id_encode("QKC"),
transfer_token_id=transfer_token_id,
# Should not set testing flag if testing QuarkChain state
is_testing=not is_qkc_state,
)
tx.set_quark_chain_config(qkc_env.quark_chain_config)
if "secretKey" in txdata:
tx.sign(decode_hex(remove_0x_head(txdata["secretKey"])))
else:
tx._in_mutable_context = True
tx.v = parse_int_or_hex(txdata["v"])
tx._in_mutable_context = False
# Run it
prev = copy.deepcopy(state.to_dict())
success, output = apply_transaction(state, tx, tx_wrapper_hash=bytes(32))
except InvalidTransaction as e:
print("Exception: %r" % e)
success, output = False, b""
# touch coinbase, make behavior consistent with go-ethereum
state.delta_token_balance(state.block_coinbase, token_id_encode("QKC"), 0)
state.commit()
post = state.to_dict()
output_decl = {
"hash": "0x" + encode_hex(state.trie.root_hash),
"indexes": indices,
"diff": mk_state_diff(prev, post),
}
state.revert(s)
return output_decl
# Initialize the state for state tests
def init_state(env, pre, is_qkc_state, qkc_env=None):
# Setup env
db = InMemoryDb()
state_env = Env(config=konfig)
state_env.db = db
state = State(
env=state_env,
block_prevhash=decode_hex(remove_0x_head(env["previousHash"])),
prev_headers=[
mk_fake_header(i)
for i in range(
parse_int_or_hex(env["currentNumber"]) - 1,
max(-1, parse_int_or_hex(env["currentNumber"]) - 257),
-1,
)
],
block_number=parse_int_or_hex(env["currentNumber"]),
block_coinbase=decode_hex(remove_0x_head(env["currentCoinbase"])),
block_difficulty=parse_int_or_hex(env["currentDifficulty"]),
gas_limit=parse_int_or_hex(env["currentGasLimit"]),
timestamp=parse_int_or_hex(env["currentTimestamp"]),
qkc_config=qkc_env.quark_chain_config,
# If testing QuarkChain states, should not use mock account
use_mock_evm_account=not is_qkc_state,
)
if "overrides" in env:
if "specialContractTimestamp" in env["overrides"]:
for overrides in env["overrides"]["specialContractTimestamp"]:
configure_special_contract_ts(
specials,
bytes.fromhex(overrides["address"]),
overrides["timestamp"],
)
seen_token_ids = set()
# Fill up pre
for address, h in list(pre.items()):
assert len(address) in (40, 42)
address = decode_hex(remove_0x_head(address))
state.set_nonce(address, parse_int_or_hex(h["nonce"]))
if is_qkc_state and "balances" in h:
# In QuarkChain state tests, can either specify balance map or single balance
for token_id, balance in h["balances"].items():
parsed_token_id = parse_int_or_hex(token_id)
state.set_token_balance(
address, parsed_token_id, parse_int_or_hex(balance)
)
seen_token_ids.add(parsed_token_id)
else:
state.set_balance(address, parse_int_or_hex(h["balance"]))
state.set_code(address, decode_hex(remove_0x_head(h["code"])))
for k, v in h["storage"].items():
state.set_storage_data(
address,
big_endian_to_int(decode_hex(k[2:])),
big_endian_to_int(decode_hex(v[2:])),
)
# Update allowed token IDs
if seen_token_ids:
state.qkc_config._allowed_token_ids = seen_token_ids
state.commit(allow_empties=True)
return state
class EnvNotFoundException(Exception):
pass
def verify_state_test(test):
print("Verifying state test")
if "env" not in test:
raise EnvNotFoundException("Env not found")
_state = init_state(test["env"], test["pre"], test["qkcstate"], qkc_env=test["qkc"])
for config_name, results in test["post"].items():
# Old protocol versions may not be supported
if config_name not in network_to_test:
continue
print("Testing for %s" % config_name)
for result in results:
data = test["transaction"]["data"][result["indexes"]["data"]]
if len(data) > 2000:
data = "data<%d>" % (len(data) // 2 - 1)
print(
"Checking for values: g %d v %d d %s (indexes g %d v %d d %d)"
% (
parse_int_or_hex(
test["transaction"]["gasLimit"][result["indexes"]["gas"]]
),
parse_int_or_hex(
test["transaction"]["value"][result["indexes"]["value"]]
),
data,
result["indexes"]["gas"],
result["indexes"]["value"],
result["indexes"]["data"],
)
)
computed = compute_state_test_unit(
_state,
test["transaction"],
result["indexes"],
evm_config,
test["qkcstate"],
qkc_env=test["qkc"],
)
if computed["hash"][-64:] != result["hash"][-64:]:
for k in computed["diff"]:
print(k, computed["diff"][k], file=sys.stderr)
print(test["filename"], test["testname"], file=sys.stderr)
raise Exception(
"Hash mismatch, computed: %s, supplied: %s"
% (computed["hash"], result["hash"])
)
else:
for k in computed["diff"]:
print(k, computed["diff"][k])
print("Hash matched!: %s" % computed["hash"])
return True
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scripts/mercedes_api_connector_bootstrap.py | eccenca/DataspaceConnector | 0 | 24332 |
import requests
import pprint
import json
# Suppress ssl verification warning
requests.packages.urllib3.disable_warnings()
s = requests.Session()
s.auth = ("user", "password")
s.verify = False
host = "localhost"
apis = ["https://api.mercedes-benz.com/vehicledata/v2/vehicles", "https://api.mercedes-benz.com/vehicledata/v2/vehicles" , "https://api.mercedes-benz.com/hazard_warnings/v2", "https://api.mercedes-benz.com/vehicledata_tryout/v2/vehicles", "https://api.mercedes-benz.com/vehicledata_tryout/v2/vehicles"]
licenses = [["Fuel Status", "https://developer.mercedes-benz.com/products/hazard_warnings/details" ],
["Electric Vehicle Status", "https://developer.mercedes-benz.com/products/electric_vehicle_status/details" ],
["Hazard Warnings", "https://developer.mercedes-benz.com/products/hazard_warnings/details" ],
["Fuel Status Tryout", "https://api.mercedes-benz.com/vehicledata_tryout/v2/vehicles" ],
["Electric Vehicle Status Tryout", "https://api.mercedes-benz.com/vehicledata_tryout/v2/vehicles" ]]
offers = [
{
"title": "Fuel Status",
"description": "The Fuel Status data set provides fuel level and the remaining vehicle range of connected vehicles. Applications from fuel suppliers could give Mercedes-Benz drivers individual offers at the right time.",
"keywords": [
"Fuel Status"
],
"publisher": "https://mercedes-benz.com",
"language": "EN",
"license": "https://developer.mercedes-benz.com/products/fuel_status/details",
"sovereign": "https://mercedes-benz.com",
"endpointDocumentation": "https://developer.mercedes-benz.com/products/fuel_status",
"Mantainer": "http://eccenca.com",
"Contact": "ed<EMAIL>"
},
{
"title": "Electric Vehicle Status",
"description": "The Electric Vehicle Status data set provides charge and remaining range of a specific electric vehicle. Knowing these current values, the next charging stop can be predicted.",
"keywords": [
"Electric Vehicle Status"
],
"publisher": "https://mercedes-benz.com",
"language": "EN",
"license": "https://developer.mercedes-benz.com/products/electric_vehicle_status/details",
"sovereign": "https://mercedes-benz.com",
"endpointDocumentation": "https://developer.mercedes-benz.com/products/electric_vehicle_status",
"Mantainer": "http://eccenca.com",
"Contact": "<EMAIL>"
},
{
"title": "Hazard Warnings",
"description": "Benefit from aggregated event data from our connected vehicle fleet to alert your drivers ahead of any dangerous situation. The data set consists of different types of safety-related events, ranging from dangerous traffic events to weather conditions.",
"keywords": [
"Hazard Warnings"
],
"publisher": "https://mercedes-benz.com",
"language": "EN",
"license": "https://developer.mercedes-benz.com/products/hazard_warnings/details",
"sovereign": "https://mercedes-benz.com",
"endpointDocumentation": "https://developer.mercedes-benz.com/products/hazard_warnings",
"Mantainer": "http://eccenca.com",
"Contact": "<EMAIL>"
},
{
"title": "Fuel Status Tryout",
"description": "This is a sandbox for Fuel Status data set provides fuel level and the remaining vehicle range of connected vehicles. Applications from fuel suppliers could give Mercedes-Benz drivers individual offers at the right time.",
"keywords": [
"Fuel Status"
],
"publisher": "https://mercedes-benz.com",
"language": "EN",
"license": "https://developer.mercedes-benz.com/products/fuel_status/details",
"sovereign": "https://mercedes-benz.com",
"endpointDocumentation": "https://developer.mercedes-benz.com/products/fuel_status",
"Mantainer": "http://eccenca.com",
"Contact": "<EMAIL>"
},
{
"title": "Electric Vehicle Status Tryout",
"description": "This is a sandbox for Electric Vehicle Status data set provides charge and remaining range of a specific electric vehicle. Knowing these current values, the next charging stop can be predicted.",
"keywords": [
"Electric Vehicle Status"
],
"publisher": "https://mercedes-benz.com",
"language": "EN",
"license": "https://developer.mercedes-benz.com/products/electric_vehicle_status/details",
"sovereign": "https://mercedes-benz.com",
"endpointDocumentation": "https://developer.mercedes-benz.com/products/electric_vehicle_status",
"Mantainer": "http://eccenca.com",
"Contact": "<EMAIL>"
}
]
representations = [{
"title": "Fuel Status",
"description": "Data representation of Fuel Status data.",
"mediaType": "JSON",
"language": "EN",
"example": "https://github.com/eccenca/DaimlerDataspaceSharedData/blob/main/fuel-status.json"
},
{
"title": "Electric Vehicle Status",
"description": "Data representation of Electric Vehicle Status.",
"mediaType": "JSON",
"language": "EN",
"example": "https://github.com/eccenca/DaimlerDataspaceSharedData/blob/main/electric-vehicle-status.json"
},
{
"title": "Hazard Warnings",
"description": "Data representation of Hazard Warnings data.",
"mediaType": "JSON",
"language": "EN",
"example": "https://github.com/eccenca/DaimlerDataspaceSharedData/blob/main/harzard-warnings.json"
},
{
"title": "Fuel Status Tyout",
"description": "Data representation of Fuel Status data.",
"mediaType": "JSON",
"language": "EN",
"example": "https://github.com/eccenca/DaimlerDataspaceSharedData/blob/main/fuel-status.json"
},
{
"title": "Electric Vehicle Status Tryout",
"description": "Data representation of Electric Vehicle Status.",
"mediaType": "JSON",
"language": "EN",
"example": "https://github.com/eccenca/DaimlerDataspaceSharedData/blob/main/electric-vehicle-status.json"
}
]
def create_policy(title, desc):
value = f'''{{
"@context" : {{
"ids" : "http://w3id.org/idsa/core/",
"idsc" : "http://w3id.org/idsa/code/"
}},
"@type": "ids:Permission",
"@id": "http://w3id.org/idsa/autogen/permission/c0bdb9d5-e86a-4bb3-86d2-2b1dc9d226f5",
"ids:description": [
{{
"@value": "This polcy allows the usage of the API under the respective ",
"@type": "http://www.w3.org/2001/XMLSchema#string"
}}
],
"ids:title": [
{{
"@value": "Free for usage",
"@type": "http://www.w3.org/2001/XMLSchema#string"
}}
],
"ids:action": [
{{
"@id": "idsc:USE"
}}
]
}}'''
svalue = {
"value": """{
"@context" : {
"ids" : "https://w3id.org/idsa/core/",
"idsc" : "https://w3id.org/idsa/code/"
},
"@type": "ids:Permission",
"@id": "https://w3id.org/idsa/autogen/permission/154df1cf-557b-4f44-b839-4b68056606a2",
"ids:description": [
{
"@value": "Free for Usage",
"@type": "http://www.w3.org/2001/XMLSchema#string"
}
],
"ids:title": [
{
"@value": "This policy allows the data set usage by any third-party under the restrictions pre-established by the data provider Mercedes-Benz.",
"@type": "http://www.w3.org/2001/XMLSchema#string"
}
],
"ids:action": [
{
"@id": "idsc:USE"
}
]
}"""
}
parsedJSON = json.loads(value)
return s.post(
"https://" + host + "/api/rules",
json=svalue
).headers["Location"]
def get_objects(object):
return s.get(
"https://" + host + "/api/" + object + "s?page=0&size=30"
)
def create_remote_artifact(endpoint):
return s.post(
"https://" + host + "/api/artifacts",
json={"accessUrl": endpoint }
).headers["Location"]
def create_offered_resource(resource):
return s.post("https://" + host + "/api/offers", json=resource).headers["Location"]
def add_resource_to_catalog(catalog, resource):
s.post(catalog + "/offers", json=[resource])
def add_catalog_to_resource(resource, catalog):
s.post(resource + "/catalogs", json=[catalog])
def add_representation_to_resource(resource, representation):
s.post(resource + "/representations", json=[representation])
def add_artifact_to_representation(representation, artifact):
s.post(representation + "/artifacts", json=[artifact])
def add_contract_to_resource(resource, contract):
s.post(resource + "/contracts", json=[contract])
def add_rule_to_contract(contract, rule):
s.post(contract + "/rules", json=[rule])
def create_offered_resource(resource):
return s.post("https://" + host + "/api/offers", json=resource).headers["Location"]
def create_representation(representation):
return s.post("https://" + host + "/api/representations", json=representation).headers[
"Location"
]
def create_contract():
return s.post("https://" + host + "/api/contracts", json={}).headers["Location"]
def create_catalog():
return s.post("https://" + host + "/api/catalogs", json={}).headers["Location"]
def remove(object_href):
return s.delete(object_href)
def remove_uuid(offer_href, uuid):
return s.delete(offer_href, json={'id' : uuid})
def remove(object, objects):
current_objects = json.loads(objects.text)
for current_object in current_objects["_embedded"][object + 's']:
object_href = current_object["_links"]["self"]["href"]
print("Removing " + object + " " + object_href)
remove(object_href)
def remove_object_uuid(object, objects):
current_objects = json.loads(objects.text)
for current_object in current_objects["_embedded"][object + 's']:
object_href = current_object["_links"]["self"]["href"]
print("Removing " + object + " " + object_href)
uuid = object_href.rindex("/",1)
remove_uuid(object_href, uuid)
# Cleaning dataset
object_response = get_objects("catalog")
remove_object_uuid("catalog", object_response)
object_response = get_objects("offer")
remove_object_uuid("resource", object_response)
object_response = get_objects("artifact")
remove_object_uuid("artifact", object_response)
object_response = get_objects("representation")
remove_object_uuid("representation", object_response)
object_response = get_objects("contract")
remove_object_uuid("contract", object_response)
i = 0
catalog = create_catalog()
policy = create_policy(licenses[i][0] + " Usage Policy", "For more details visit " + licenses[i][1])
contract = create_contract()
print("Adding APIS to IDS Catalog:" + catalog)
for api in apis:
offer = create_offered_resource(offers[i])
representation = create_representation(representations[i])
artifact = create_remote_artifact(api)
add_resource_to_catalog(catalog, offer)
add_representation_to_resource(offer, representation)
add_artifact_to_representation(representation, artifact)
add_contract_to_resource(offer, contract)
add_rule_to_contract(contract, policy)
print("Registering " + licenses[i][0] + " in " + artifact )
i = i + 1
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] |
main.py | verdoSee/AnticheatBypassFor10fingers | 2 | 1615969 | import cv2
import pytesseract
from time import sleep
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
Uemail = "" #Your email of the account you wish to pass the anticheat test
Upasswd = "" ##Your password of the account you wish to pass the anticheat test
PATH = "C:\Program Files (x86)\chromedriver.exe"
options = webdriver.ChromeOptions()
options.add_experimental_option('excludeSwitches', ['enable-logging'])
driver = webdriver.Chrome(executable_path = PATH, options=options)
driver.get("https://10fastfingers.com/typing-test/english")
sleep(2.5) #If you have slow internet please make this a little higher like 3-4 seconds.
driver.find_element_by_id('CybotCookiebotDialogBodyLevelButtonLevelOptinAllowAll').click()
driver.find_element_by_xpath('/html/body/div[3]/div/nav/div[2]/ul[4]/li[2]/a').click()
sleep(1)
email = driver.find_element_by_id("UserEmail")
email.send_keys(Uemail)
passwd = driver.find_element_by_id("<PASSWORD>")
passwd.send_keys(<PASSWORD>)
loginButton = driver.find_element_by_id('login-form-submit').click()
sleep(1)
driver.get("https://10fastfingers.com/anticheat/view/1/1") #change this with the link of the typing test you want to pass.
driver.find_element_by_id("start-btn").click()
sleep(0.5) #If you have slow internet please make this a little higher like 2 seconds.
TextImage = driver.find_element_by_xpath('/html/body/div[4]/div[1]/div[4]/div/div/div[3]/div[1]/img')
TextImage.screenshot("C:\\Users\\user\\scripts\\anticheatBypass\\text.png") #change this to your path where you saved
pytesseract.pytesseract.tesseract_cmd = (r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe')
img = cv2.imread("C:\\Users\\user\\scripts\\anticheatBypass\\text.png") #change this to your path where you saved
text = pytesseract.image_to_string(img) #converting the img to string so we can use it
input = driver.find_element_by_id("word-input")
for words in text.split(): #writing the words
input.send_keys(words)
input.send_keys(Keys.SPACE)
sleep(0.5) #lower than 0.3 might get you banned
submit = driver.find_element_by_id("submit-anticheat").click()
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agro_site/orders/migrations/0001_initial.py | LukoninDmitryPy/agro_site-2 | 0 | 7698 | <reponame>LukoninDmitryPy/agro_site-2<filename>agro_site/orders/migrations/0001_initial.py
# Generated by Django 2.2.16 on 2022-04-12 13:28
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.db.models.expressions
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
('sales_backend', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Chat',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('type', models.CharField(choices=[('D', 'Dialog'), ('C', 'Chat')], default='D', max_length=1, verbose_name='Тип')),
('members', models.ManyToManyField(to=settings.AUTH_USER_MODEL, verbose_name='Участник')),
],
),
migrations.CreateModel(
name='Order',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('address', models.CharField(max_length=250)),
('postal_code', models.CharField(max_length=20)),
('city', models.CharField(max_length=100)),
('created', models.DateTimeField(auto_now_add=True)),
('updated', models.DateTimeField(auto_now=True)),
('paid', models.BooleanField(default=False)),
('status_order', models.CharField(choices=[('В обработке', 'В обработке'), ('Заказ собран', 'Заказ собран'), ('Заказ отправлен', 'Заказ отправлен')], default='В обработке', max_length=20)),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='user', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name_plural': 'Заказы',
'ordering': ('-created',),
},
),
migrations.CreateModel(
name='OrderItem',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('price', models.DecimalField(decimal_places=2, max_digits=10)),
('quantity', models.PositiveIntegerField(default=1)),
('order', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='items', to='orders.Order')),
('product', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='order_items', to='sales_backend.Product')),
('seller', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='seller', to=settings.AUTH_USER_MODEL)),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='order_users', to=settings.AUTH_USER_MODEL)),
],
),
migrations.CreateModel(
name='Message',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('message', models.TextField(verbose_name='Сообщение')),
('pub_date', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Дата сообщения')),
('is_readed', models.BooleanField(default=False, verbose_name='Прочитано')),
('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='Пользователь')),
('chat', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='orders.Chat', verbose_name='Чат')),
],
options={
'ordering': ['pub_date'],
},
),
migrations.AddConstraint(
model_name='orderitem',
constraint=models.CheckConstraint(check=models.Q(_negated=True, user=django.db.models.expressions.F('seller')), name='dont_buy_yourself'),
),
]
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] |
test/pandas/1_select.py | wull566/tensorflow_demo | 2 | 102283 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
pandas 学习
字典形式的numpy
"""
from __future__ import print_function
import numpy as np
import pandas as pd
dates = pd.date_range('20130101', periods=6)
df = pd.DataFrame(np.arange(24).reshape((6,4)),index=dates, columns=['A','B','C','D'])
"""
A B C D
2013-01-01 0 1 2 3
2013-01-02 4 5 6 7
2013-01-03 8 9 10 11
2013-01-04 12 13 14 15
2013-01-05 16 17 18 19
2013-01-06 20 21 22 23
"""
# print(df['A'])
print(df.A)
print(df[0:3])
"""
A B C D
2013-01-01 0 1 2 3
2013-01-02 4 5 6 7
2013-01-03 8 9 10 11
"""
print(df['20130102':'20130104'])
"""
A B C D
2013-01-02 4 5 6 7
2013-01-03 8 9 10 11
2013-01-04 12 13 14 15
"""
print(df.loc['20130102'])
"""
A 4
B 5
C 6
D 7
Name: 2013-01-02 00:00:00, dtype: int64
"""
print(df.loc[:,['A','B']])
"""
A B
2013-01-01 0 1
2013-01-02 4 5
2013-01-03 8 9
2013-01-04 12 13
2013-01-05 16 17
2013-01-06 20 21
"""
print(df.loc['20130102',['A','B']])
"""
A 4
B 5
Name: 2013-01-02 00:00:00, dtype: int64
"""
print(df.iloc[3,1])
# 13
print(df.iloc[3:5,1:3])
"""
B C
2013-01-04 13 14
2013-01-05 17 18
"""
print(df.iloc[[1,3,5],1:3])
"""
B C
2013-01-02 5 6
2013-01-04 13 14
2013-01-06 21 22
"""
# 根据混合的这两种 ix
print(df.ix[:3,['A','C']])
"""
A C
2013-01-01 0 2
2013-01-02 4 6
2013-01-03 8 10
"""
print(df[df.A>8])
"""
A B C D
2013-01-04 12 13 14 15
2013-01-05 16 17 18 19
2013-01-06 20 21 22 23
"""
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] |
Tests/test_genericmeth.py | aisk/ironpython3 | 1,872 | 197027 | # Licensed to the .NET Foundation under one or more agreements.
# The .NET Foundation licenses this file to you under the Apache 2.0 License.
# See the LICENSE file in the project root for more information.
import os
import unittest
from iptest import IronPythonTestCase, is_cli, run_test, skipUnlessIronPython
@skipUnlessIronPython()
class GenericMethTest(IronPythonTestCase):
def setUp(self):
super(GenericMethTest, self).setUp()
self.load_iron_python_test()
def assertDocEqual(self, received, expected):
expected = expected.split(os.linesep)
received = received.split(os.linesep)
for x in received:
if not x in expected:
self.fail('Extra doc string: ' + x)
index = expected.index(x)
del expected[index]
if expected: self.fail('Missing doc strings: ' + expected.join(', '))
def test_generic_method_binding(self):
from IronPythonTest import GenMeth
# Create an instance of the generic method provider class.
gm = GenMeth()
# Check that the documentation strings for all the instance methods (they all have the same name) is as expected.
expected = os.linesep.join([
'InstMeth[T](self: GenMeth) -> str',
'InstMeth[(T, U)](self: GenMeth) -> str',
'InstMeth[T](self: GenMeth, arg1: int) -> str',
'InstMeth[T](self: GenMeth, arg1: str) -> str',
'InstMeth[(T, U)](self: GenMeth, arg1: int) -> str',
'InstMeth[T](self: GenMeth, arg1: T) -> str',
'InstMeth[(T, U)](self: GenMeth, arg1: T, arg2: U) -> str',
'InstMeth(self: GenMeth) -> str',
'InstMeth(self: GenMeth, arg1: int) -> str',
'InstMeth(self: GenMeth, arg1: str) -> str']) + os.linesep
self.assertDocEqual(gm.InstMeth.__doc__, expected)
# And the same for the static methods.
expected_static_methods = os.linesep.join([
'StaticMeth[T]() -> str' ,
'StaticMeth[(T, U)]() -> str' ,
'StaticMeth[T](arg1: int) -> str' ,
'StaticMeth[T](arg1: str) -> str' ,
'StaticMeth[(T, U)](arg1: int) -> str' ,
'StaticMeth[T](arg1: T) -> str' ,
'StaticMeth[(T, U)](arg1: T, arg2: U) -> str' ,
'StaticMeth() -> str' ,
'StaticMeth(arg1: int) -> str' ,
'StaticMeth(arg1: str) -> str']) + os.linesep
self.assertDocEqual(GenMeth.StaticMeth.__doc__, expected_static_methods)
# Check that we bind to the correct method based on type and call arguments for each of our instance methods. We can validate this
# because each target method returns a unique string we can compare.
self.assertEqual(gm.InstMeth(), "InstMeth()")
self.assertEqual(gm.InstMeth[str](), "InstMeth<String>()")
self.assertEqual(gm.InstMeth[(int, str)](), "InstMeth<Int32, String>()")
self.assertEqual(gm.InstMeth(1), "InstMeth(Int32)")
self.assertEqual(gm.InstMeth(""), "InstMeth(String)")
#This ordering never worked, but new method binding rules reveal the bug. Open a new bug here.
#self.assertEqual(gm.InstMeth[int](1), "InstMeth<Int32>(Int32)")
#self.assertEqual(gm.InstMeth[str](""), "InstMeth<String>(String)")
self.assertEqual(gm.InstMeth[(str, int)](1), "InstMeth<String, Int32>(Int32)")
self.assertEqual(gm.InstMeth[GenMeth](gm), "InstMeth<GenMeth>(GenMeth)")
self.assertEqual(gm.InstMeth[(str, int)]("", 1), "InstMeth<String, Int32>(String, Int32)")
# And the same for the static methods.
self.assertEqual(GenMeth.StaticMeth(), "StaticMeth()")
self.assertEqual(GenMeth.StaticMeth[str](), "StaticMeth<String>()")
self.assertEqual(GenMeth.StaticMeth[(int, str)](), "StaticMeth<Int32, String>()")
self.assertEqual(GenMeth.StaticMeth(1), "StaticMeth(Int32)")
self.assertEqual(GenMeth.StaticMeth(""), "StaticMeth(String)")
#self.assertEqual(GenMeth.StaticMeth[int](1), "StaticMeth<Int32>(Int32)")
#self.assertEqual(GenMeth.StaticMeth[str](""), "StaticMeth<String>(String)")
self.assertEqual(GenMeth.StaticMeth[(str, int)](1), "StaticMeth<String, Int32>(Int32)")
self.assertEqual(GenMeth.StaticMeth[GenMeth](gm), "StaticMeth<GenMeth>(GenMeth)")
self.assertEqual(GenMeth.StaticMeth[(str, int)]("", 1), "StaticMeth<String, Int32>(String, Int32)")
run_test(__name__)
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] |
inversor/train/models.py | aasensio/DeepLearning | 0 | 101537 | <filename>inversor/train/models.py
from keras.layers import Input, Conv1D, BatchNormalization, Dense, LSTM, TimeDistributed, Flatten, Bidirectional
from keras.models import Model
from keras.regularizers import l2
def zdi(n_lambda, noise, activation='relu', n_filters=64, l2_reg=1e-7):
"""
Deep residual recurrent network for the inversion of stellar spectra
"""
st = Input(shape=(None, n_lambda, 1), name='stokes_input')
x = BatchNormalization()(st)
x = TimeDistributed(Conv1D(n_filters, 3, activation=activation, padding='same', strides=1, kernel_initializer='he_normal',
kernel_regularizer=l2(l2_reg)), name='conv_1')(x)
x = BatchNormalization()(x)
x = TimeDistributed(Conv1D(2*n_filters, 3, activation=activation, padding='same', strides=2, kernel_initializer='he_normal',
kernel_regularizer=l2(l2_reg)), name='conv_2')(x)
x = BatchNormalization()(x)
x = TimeDistributed(Conv1D(4*n_filters, 3, activation=activation, padding='same', strides=2, kernel_initializer='he_normal',
kernel_regularizer=l2(l2_reg)), name='conv_3')(x)
x = BatchNormalization()(x)
x = TimeDistributed(Flatten(), name='flatten')(x)
# x_modulus = LSTM(64)(x)
# output_modulus = Dense(1, name='modulus')(x_modulus)
# x_alpha = LSTM(128, return_sequences=True)(x)
x = Bidirectional(LSTM(128))(x)
# x = Dense(128, kernel_initializer='he_normal')(x)
output_alpha = Dense(5, name='alpha')(x)
# x_beta = LSTM(128)(x)
# output_beta = Dense(121, name='beta')(x_beta)
# x_gamma = LSTM(128)(x)
# output_gamma = Dense(121, name='gamma')(x_gamma)
# return Model(inputs=stokes_input, outputs=[output_modulus, output_alpha, output_beta, output_gamma])
return Model(inputs=st, outputs=output_alpha)
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examples/basic_auth.py | hibellm/jira | 3 | 64616 | # This script shows how to connect to a JIRA instance with a
# username and password over HTTP BASIC authentication.
from collections import Counter
from jira import JIRA
# By default, the client will connect to a JIRA instance started from the Atlassian Plugin SDK.
# See
# https://developer.atlassian.com/display/DOCS/Installing+the+Atlassian+Plugin+SDK
# for details.
jira = JIRA(basic_auth=('admin', 'admin')) # a username/password tuple
# Get the mutable application properties for this server (requires
# jira-system-administrators permission)
props = jira.application_properties()
# Find all issues reported by the admin
issues = jira.search_issues('assignee=admin')
# Find the top three projects containing issues reported by admin
top_three = Counter(
[issue.fields.project.key for issue in issues]).most_common(3)
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examples/maml_toy.py | Brikwerk/learn2learn | 1,774 | 77655 | #!/usr/bin/env python3
"""
This script demonstrates how to use the MAML implementation of L2L.
Each task i consists of learning the parameters of a Normal distribution N(mu_i, sigma_i).
The parameters mu_i, sigma_i are themselves sampled from a distribution N(mu, sigma).
"""
import torch as th
from torch import nn, optim, distributions as dist
import learn2learn as l2l
DIM = 5
TIMESTEPS = 1000
TASKS_PER_STEP = 50
class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
self.mu = nn.Parameter(th.randn(DIM))
self.sigma = nn.Parameter(th.randn(DIM))
def forward(self, x=None):
return dist.Normal(self.mu, self.sigma)
def main():
task_dist = dist.Normal(th.zeros(2 * DIM), th.ones(2 * DIM))
model = Model()
maml = l2l.algorithms.MAML(model, lr=1e-2)
opt = optim.Adam(maml.parameters())
for i in range(TIMESTEPS):
step_loss = 0.0
for t in range(TASKS_PER_STEP):
# Sample a task
task_params = task_dist.sample()
mu_i, sigma_i = task_params[:DIM], task_params[DIM:]
# Adaptation: Instanciate a copy of model
learner = maml.clone()
proposal = learner()
# Adaptation: Compute and adapt to task loss
loss = (mu_i - proposal.mean).pow(2).sum() + (sigma_i - proposal.variance).pow(2).sum()
learner.adapt(loss)
# Adaptation: Evaluate the effectiveness of adaptation
adapt_loss = (mu_i - proposal.mean).pow(2).sum() + (sigma_i - proposal.variance).pow(2).sum()
# Accumulate the error over all tasks
step_loss += adapt_loss
# Meta-learning step: compute gradient through the adaptation step, automatically.
step_loss = step_loss / TASKS_PER_STEP
print(i, step_loss.item())
opt.zero_grad()
step_loss.backward()
opt.step()
if __name__ == '__main__':
main()
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examples/hello.py | ridgek/iscli | 0 | 147985 | <gh_stars>0
from iscli.cli import CommandSet, Cli
hello = CommandSet()
@hello.install('hello world')
def cmd_hello_world(cli, args):
print 'Hello World!'
if __name__ == '__main__':
cli = Cli('> ')
cli.load(hello)
cli.commandloop()
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updaters/updater.py | tatsukawa/GAN_arbitrary_viewpoint | 0 | 150270 | # -*- coding: utf-8 -*-
# !/usr/bin/env python
from __future__ import print_function
import chainer
import chainer.functions as F
from chainer import Variable
import numpy as np
import cupy as cp
def loss_dcgan_dis(dis_fake, dis_real):
L1 = F.mean(F.softplus(-dis_real))
L2 = F.mean(F.softplus(dis_fake))
loss = L1 + L2
return loss
def loss_dcgan_gen(dis_fake):
loss = F.mean(F.softplus(-dis_fake))
return loss
def loss_hinge_dis(dis_fake, dis_real):
loss = F.mean(F.relu(1. - dis_real))
loss += F.mean(F.relu(1. + dis_fake))
return loss
def loss_hinge_gen(dis_fake):
loss = -F.mean(dis_fake)
return loss
def loss_mse_gen(x_gen, x_real):
loss = F.mean_squared_error(x_gen, x_real)
return loss
class Updater(chainer.training.StandardUpdater):
def __init__(self, *args, **kwargs):
self.gen, self.dis = kwargs.pop('models')
self.img_size = kwargs.pop('img_size')
self.loss_type = kwargs.pop('loss_type')
self.dim_noise = kwargs.pop('dim_noise')
self.dif_index = kwargs.pop('dif_index')
self.n_dis = kwargs.pop('n_dis')
self.dataset = kwargs.pop('dataset')
if self.loss_type == 'dcgan':
self.loss_gen = loss_dcgan_gen
self.loss_dis = loss_dcgan_dis
elif self.loss_type == 'hinge':
self.loss_gen = loss_hinge_gen
self.loss_dis = loss_hinge_dis
elif self.loss_type == 'mse':
self.loss_gen = loss_mse_gen
if self.dataset == 'mnist':
from datasets.mnist.loader import get_ref_and_real_data
self.get_data = get_ref_and_real_data
elif self.dataset == 'coil20':
from datasets.coil20.loader import get_ref_and_real_data
self.get_data = get_ref_and_real_data
elif self.dataset == 'coil100':
from datasets.coil100.loader import get_ref_and_real_data
self.get_data = get_ref_and_real_data
else:
print('please select dataset')
exit(1)
super(Updater, self).__init__(*args, **kwargs)
def get_batch(self):
batch = self.get_iterator('main').next()
batch_size = len(batch)
if self.dataset == 'mnist':
ref_images, rot_images, eps = self.get_data(
batch,
0.4,
20
)
elif self.dataset == 'coil20':
ref_images, rot_images, eps = self.get_data(
batch,
img_size=self.img_size,
dim_noise=self.dim_noise,
dif_index=self.dif_index
)
elif self.dataset == 'coil100':
ref_images, rot_images, eps = self.get_data(
batch,
img_size=self.img_size,
dim_noise=self.dim_noise,
dif_index=self.dif_index
)
else:
exit(0)
x_real = Variable(self.converter(rot_images, self.device))
x_ref = Variable(self.converter(ref_images, self.device))
eps = Variable(self.converter(eps, self.device))
x_real = Variable(x_real.data.astype(np.float32)) / 255.
x_ref= Variable(x_ref.data.astype(np.float32)) / 255.
eps = Variable(eps.data.astype(np.float32))
return x_ref, x_real, eps
def calc_acc(self, dis_out, label=0, plot_name='acc'):
prob = F.sigmoid(dis_out)
label = cp.array([[label] for i in range(len(dis_out))])
label = Variable(self.converter(label, self.device))
label = Variable(label.data.astype(int))
acc_real = F.binary_accuracy(prob - 0.5, label)
chainer.report({plot_name: acc_real}, self.dis)
def update_core(self):
gen_optimizer = self.get_optimizer('gen')
dis_optimizer = self.get_optimizer('dis')
gen, dis = self.gen, self.dis
if self.loss_type == 'mse':
x_ref, x_real, eps = self.get_batch()
H, W = x_ref.shape[2], x_ref.shape[3]
_z = F.broadcast_to(
F.reshape(eps, (eps.shape[0], eps.shape[1], 1, 1)),
(eps.shape[0], eps.shape[1], H, W)
)
x_gen = gen(x=x_ref, z=eps)
loss_gen = self.loss_gen(x_gen, x_real)
gen.cleargrads()
loss_gen.backward()
gen_optimizer.update()
chainer.report({'loss': loss_gen}, gen)
else:
for i in range(self.n_dis):
x_ref, x_real, eps = self.get_batch()
H, W = x_ref.shape[2], x_ref.shape[3]
_z = F.broadcast_to(
F.reshape(eps, (eps.shape[0], eps.shape[1], 1, 1)),
(eps.shape[0], eps.shape[1], H, W)
)
if i == 0:
x_gen = gen(x=x_ref, z=eps)
dis_fake = dis(x_gen, x_ref, eps)
loss_gen = self.loss_gen(dis_fake=dis_fake)
gen.cleargrads()
loss_gen.backward()
gen_optimizer.update()
chainer.report({'loss': loss_gen}, gen)
dis_real= dis(x_real, x_ref, eps)
self.calc_acc(dis_real, label=1, plot_name='acc_real')
x_gen = gen(x=x_ref, z=eps)
dis_fake = dis(x_gen, x_ref, eps)
self.calc_acc(dis_fake, label=0, plot_name='acc_fake')
x_gen.unchain_backward()
loss_dis = self.loss_dis(dis_fake=dis_fake, dis_real=dis_real)
dis.cleargrads()
loss_dis.backward()
dis_optimizer.update()
chainer.report({'loss': loss_dis}, dis)
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] |
test/IECore/TypedDataAsObject.py | bradleyhenke/cortex | 386 | 109226 | ##########################################################################
#
# Copyright (c) 2007, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# * Neither the name of Image Engine Design nor the names of any
# other contributors to this software may be used to endorse or
# promote products derived from this software without specific prior
# written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
# IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
##########################################################################
import unittest
import IECore
class TestTypedDataAsObject( unittest.TestCase ) :
def testSimpleCopy( self ) :
o = IECore.IntData( 1 )
self.assertEqual( o.value, 1 )
self.assertEqual( o, o )
o.value = 2
self.assertEqual( o.value, 2 )
oo = o.copy()
self.assertEqual( oo.value, 2 )
self.assertEqual( o, oo )
o.value = 3
self.assertEqual( o.value, 3 )
self.assertEqual( oo.value, 2 )
self.assertNotEqual( o, oo )
oo.value = 4
self.assertEqual( o.value, 3 )
self.assertEqual( oo.value, 4 )
self.assertNotEqual( o, oo )
def testCompoundCopy( self ) :
"""CompoundData must specialise the copyFrom() method
to ensure that a genuine deep copy of the data is produced.
This tests that."""
a = IECore.IntData( 2 )
self.assertEqual( a.value, 2 )
self.assertEqual( a, a )
c = IECore.CompoundData()
c["A"] = a
self.assertEqual( c["A"].value, 2 )
a.value = 3
self.assertEqual( a.value, 3 )
self.assertEqual( c["A"].value, 3 )
self.assertTrue( a.isSame( c["A"] ) )
cc = c.copy()
self.assertTrue( a.isSame( c["A"] ) )
self.assertTrue( not a.isSame( cc["A"] ) )
self.assertEqual( c, cc )
a.value = 10
self.assertEqual( a.value, 10 )
self.assertEqual( c["A"].value, 10 )
self.assertEqual( cc["A"].value, 3 )
self.assertNotEqual( c, cc )
cc["A"].value = 100
self.assertEqual( cc["A"].value, 100 )
self.assertEqual( c["A"].value, 10 )
self.assertEqual( a.value, 10 )
self.assertNotEqual( c, cc )
a.value = 100
self.assertEqual( c, cc )
if __name__ == "__main__":
unittest.main()
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] |
lib/datatools/build_evaluate.py | JokerWDL/PyAnomaly | 1 | 181554 | from lib.datatools.evaluate.eval_function import eval_functions
class EvaluateAPI(object):
def __init__(self, cfg, logger):
self.cfg = cfg
self.logger = logger
def __call__(self, eval_function_type):
assert eval_function_type in eval_functions, f'there is no type of evaluation {eval_function_type}, please check {eval_functions.keys()}'
self.logger.info(f'==> Using the eval function: {eval_function_type}')
t = eval_functions[eval_function_type]
return t
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] |
spInDP/SensorDataProvider.py | henkmollema/spInDP | 0 | 133917 | import math
import threading
import time
import smbus
import Adafruit_ADS1x15
class SensorDataProvider(object):
"""Provides data from sensors attached to the spider."""
_bus = None
_adc = None
# Choose a gain of 1 for reading voltages from 0 to 4.09V.
# Or pick a different gain to change the range of voltages that are read:
# - 2/3 = +/-6.144V
# - 1 = +/-4.096V
# - 2 = +/-2.048V
# - 4 = +/-1.024V
# - 8 = +/-0.512V
# - 16 = +/-0.256V
# See table 3 in the ADS1015/ADS1115 datasheet for more info on gain.
GAIN = 1
# Power management registers
POWER_MGMT_1 = 0x6b
# POWER_MGMT_2 = 0x6c
BUS_ADDRESS = 0x68 # This is the address value read via the i2cdetect command
"""
x / 16384 = x * 0.00006103515 to scale the accelerometer values from -1 to 1
"""
ACL_SCALE = 0.00006103515
"""
x / 131 = x * 0.00763358778 to scale gyro values to deg/second
"""
GYRO_SCALE = 0.00763358778
"""Used for averaging"""
_windowSize = 10 # Number of readings to average over
_accelWindow = [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],
[0, 0, 0]]
_cAccelIndex = 0
_measureInterval = 0.1 # increase this if reading fails
_shouldMeasure = False
_smoothAccelX = 0.0
_smoothAccelY = 0.0
_smoothAccelZ = 0.0
_lastUpdate = 0.0
def __init__(self):
"""Initializes the SensorDataProvider."""
print ("Init sensordataprovider")
# Now wake the 6050 up as it starts in sleep mode
try:
self._bus = smbus.SMBus(1)
self._bus.write_byte_data(SensorDataProvider.BUS_ADDRESS, SensorDataProvider.POWER_MGMT_1, 0)
except BaseException as ex:
print("Waking up gyro sensor failed: " + str(ex))
# Create ADS1015 ADC (12-bit) instance.
try:
self._adc = Adafruit_ADS1x15.ADS1015()
except BaseException as ex:
print("Initializing ADC failed: " + str(ex))
def stopMeasuring(self):
"""Stop measuring the sensors."""
self._shouldMeasure = False
def startMeasuring(self):
"""Starts measuring the sensors."""
if (not self._shouldMeasure):
self._shouldMeasure = True
self._lastUpdate = time.time()
t = threading.Thread(target=self._measureCycle)
t.start()
def _measureCycle(self):
"""The measure loop."""
while (self._shouldMeasure):
accelVal = self.getAccelerometer()
gyroVal = self.getGyro()
yDeg = self._getXRotation(accelVal[0], accelVal[1], accelVal[2])
gyroY = float(gyroVal[0])
# print "yDeg: " + str(yDeg)
"""
Complementary filter, we take gyroBias(0.98) parts from the gyro data and multiply it by delta T in seconds
and accelBias(0.02) parts from accelerometer data to compensate for drift
"""
deltaT = float(time.time() - self._lastUpdate)
if (abs(gyroY * deltaT) < 0.05):
gyroY = 0
self._smoothAccelY = float(0.7 * float(self._smoothAccelY + gyroY * deltaT) - 0.3 * yDeg)
# self.smoothAccelY = float(self.smoothAccelY + gyroY*deltaT)
# self.smoothAccelY = float(self.smoothAccelY + gyroY*deltaT)
print ("gyroY: " + str(self._smoothAccelY) + " delta: " + str(yDeg))
self._lastUpdate = time.time()
time.sleep(0.0032) # Update at 30hz
def readADC(self):
"""Start reading ADC values"""
'''
print('Reading ADS1x15 values, press Ctrl-C to quit...')
# Print nice channel column headers.
print('| {0:>6} | {1:>6} | {2:>6} | {3:>6} |'.format(*range(4)))
print('-' * 37)
# Main loop.
while (self._shouldMeasure):
# Read all the ADC channel values in a list.
values = [0]*4
for i in range(4):
values[i] = adc.read_adc(i, gain=GAIN)
# Print the ADC values.
print('| {0:>6} | {1:>6} | {2:>6} | {3:>6} |'.format(*values))
# Pause for half a second.
time.sleep(0.5)
'''
lightSensorR = self._adc.read_adc(2, gain=SensorDataProvider.GAIN)
lightSensorL = self._adc.read_adc(3, gain=SensorDataProvider.GAIN)
return lightSensorR, lightSensorL
def getSmoothAccelerometer(self):
"""Gets the smoothed accelerometer value."""
return self._smoothAccelX, self._smoothAccelY, self._smoothAccelZ
def getGyro(self):
"""Gets the raw gyro sensor values."""
gyro_xout = float(self._readWord2c(0x43))
gyro_yout = float(self._readWord2c(0x45))
gyro_zout = float(self._readWord2c(0x47))
return (gyro_xout *
SensorDataProvider.GYRO_SCALE, gyro_yout *
SensorDataProvider.GYRO_SCALE, gyro_zout *
SensorDataProvider.GYRO_SCALE)
def getAccelerometer(self):
"""Gets the raw accelerometer sensor values."""
accel_xout = float(self._readWord2c(0x3b))
accel_yout = float(self._readWord2c(0x3d))
accel_zout = float(self._readWord2c(0x3f))
return accel_xout * \
SensorDataProvider.ACL_SCALE, accel_yout * \
SensorDataProvider.ACL_SCALE, accel_zout * \
SensorDataProvider.ACL_SCALE
def _readByte(self, adr):
"""Reads a byte from the sensor bus."""
return self._bus.read_byte_data(SensorDataProvider.BUS_ADDRESS, adr)
def _readWord(self, adr):
"""Reads a word from the sensor bus."""
high = self._bus.read_byte_data(SensorDataProvider.BUS_ADDRESS, adr)
low = self._bus.read_byte_data(SensorDataProvider.BUS_ADDRESS, adr + 1)
val = (high << 8) + low
return val
def _readWord2c(self, adr):
"""Reads a word from the sensor bus."""
val = self._readWord(adr)
if (val >= 0x8000):
return -((65535 - val) + 1)
else:
return val
def _dist(self, a, b):
"""Calculates the length between two points on a triangle."""
return math.sqrt((a * a) + (b * b))
def _getYRotation(self, x, y, z):
"""Gets the Y rotation of the specified X, Y and Z."""
radians = math.atan2(x, self._dist(y, z))
return -math.degrees(radians)
def _getXRotation(self, x, y, z):
"""Gets the X rotation of the specified X, Y and Z."""
radians = math.atan2(y, self._dist(x, z))
return math.degrees(radians)
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] |
src/falconpy/quick_scan.py | CrowdStrike/falconpy | 111 | 22906 | """Falcon Quick Scan API Interface Class
_______ __ _______ __ __ __
| _ .----.-----.--.--.--.--| | _ | |_.----|__| |--.-----.
|. 1___| _| _ | | | | _ | 1___| _| _| | <| -__|
|. |___|__| |_____|________|_____|____ |____|__| |__|__|__|_____|
|: 1 | |: 1 |
|::.. . | CROWDSTRIKE FALCON |::.. . | FalconPy
`-------' `-------'
OAuth2 API - Customer SDK
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit
of the public at large and to the detriment of our heirs and
successors. We intend this dedication to be an overt act of
relinquishment in perpetuity of all present and future rights to this
software under copyright law.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
For more information, please refer to <https://unlicense.org>
"""
from ._util import force_default, process_service_request, handle_single_argument
from ._payload import generic_payload_list, aggregate_payload
from ._service_class import ServiceClass
from ._endpoint._quick_scan import _quick_scan_endpoints as Endpoints
class QuickScan(ServiceClass):
"""The only requirement to instantiate an instance of this class is one of the following:
- a valid client_id and client_secret provided as keywords.
- a credential dictionary with client_id and client_secret containing valid API credentials
{
"client_id": "CLIENT_ID_HERE",
"client_secret": "CLIENT_SECRET_HERE"
}
- a previously-authenticated instance of the authentication service class (oauth2.py)
- a valid token provided by the authentication service class (oauth2.py)
"""
@force_default(defaults=["body"], default_types=["dict"])
def get_scans_aggregates(self: object, body: dict = None, **kwargs) -> dict:
"""Get scans aggregations as specified via json in request body.
Keyword arguments:
body -- full body payload, not required when using other keywords.
{
"date_ranges": [
{
"from": "string",
"to": "string"
}
],
"field": "string",
"filter": "string",
"interval": "string",
"min_doc_count": 0,
"missing": "string",
"name": "string",
"q": "string",
"ranges": [
{
"From": 0,
"To": 0
}
],
"size": 0,
"sort": "string",
"sub_aggregates": [
null
],
"time_zone": "string",
"type": "string"
}
date_ranges -- List of dictionaries.
field -- String.
filter -- FQL syntax. String.
interval -- String.
min_doc_count -- Minimum number of documents required to match. Integer.
missing -- String.
name -- Scan name. String.
q -- FQL syntax. String.
ranges -- List of dictionaries.
size -- Integer.
sort -- FQL syntax. String.
sub_aggregates -- List of strings.
time_zone -- String.
type -- String.
This method only supports keywords for providing arguments.
This method does not support body payload validation.
Returns: dict object containing API response.
HTTP Method: POST
Swagger URL
https://assets.falcon.crowdstrike.com/support/api/swagger.html#/quick-scan/GetScansAggregates
"""
if not body:
body = aggregate_payload(submitted_keywords=kwargs)
return process_service_request(
calling_object=self,
endpoints=Endpoints,
operation_id="GetScansAggregates",
body=body
)
@force_default(defaults=["parameters"], default_types=["dict"])
def get_scans(self: object, *args, parameters: dict = None, **kwargs) -> dict:
"""Check the status of a volume scan. Time required for
analysis increases with the number of samples in a volume
but usually it should take less than 1 minute.
Keyword arguments:
ids -- One or more remediation IDs. String or list of strings.
parameters - full parameters payload, not required if ids is provided as a keyword.
Arguments: When not specified, the first argument to this method is assumed to be 'ids'.
All others are ignored.
Returns: dict object containing API response.
HTTP Method: GET
Swagger URL
https://assets.falcon.crowdstrike.com/support/api/swagger.html#/quick-scan/GetScans
"""
return process_service_request(
calling_object=self,
endpoints=Endpoints,
operation_id="GetScans",
keywords=kwargs,
params=handle_single_argument(args, parameters, "ids")
)
@force_default(defaults=["body"], default_types=["dict"])
def scan_samples(self: object, *args, body: dict = None, **kwargs) -> dict:
"""Get scans aggregations as specified via json in request body.
Keyword arguments:
body -- full body payload, not required when samples keyword is provided.
{
"samples": [
"string"
]
}
samples -- SHA256(s) of the samples to scan. Must have been previously submitted using
SampleUploadV3 (SampleUploads class). String or list of strings.
Arguments: When not specified, the first argument to this method is assumed to be
'samples'. All others are ignored.
Returns: dict object containing API response.
HTTP Method: POST
Swagger URL
https://assets.falcon.crowdstrike.com/support/api/swagger.html#/quick-scan/ScanSamples
"""
if not body:
body = generic_payload_list(submitted_arguments=args,
submitted_keywords=kwargs,
payload_value="samples"
)
return process_service_request(
calling_object=self,
endpoints=Endpoints,
operation_id="ScanSamples",
body=body,
body_validator={"samples": list} if self.validate_payloads else None,
body_required=["samples"] if self.validate_payloads else None
)
@force_default(defaults=["parameters"], default_types=["dict"])
def query_submissions(self: object, parameters: dict = None, **kwargs) -> dict:
"""Find IDs for submitted scans by providing an FQL filter and paging details.
Returns a set of volume IDs that match your criteria.
Keyword arguments:
filter -- The filter expression that should be used to limit the results. FQL syntax.
limit -- The maximum number of records to return. [integer, 1-5000]
offset -- The integer offset to start retrieving records from.
parameters - full parameters payload, not required if using other keywords.
sort -- The property to sort by. FQL syntax.
This method only supports keywords for providing arguments.
Returns: dict object containing API response.
HTTP Method: GET
Swagger URL
https://assets.falcon.crowdstrike.com/support/api/swagger.html#/quick-scan/QuerySubmissionsMixin0
"""
return process_service_request(
calling_object=self,
endpoints=Endpoints,
operation_id="QuerySubmissionsMixin0",
keywords=kwargs,
params=parameters
)
# These method names align to the operation IDs in the API but
# do not conform to snake_case / PEP8 and are defined here for
# backwards compatibility / ease of use purposes
GetScansAggregates = get_scans_aggregates
GetScans = get_scans
ScanSamples = scan_samples
QuerySubmissionsMixin0 = query_submissions
# The legacy name for this class does not conform to PascalCase / PEP8
# It is defined here for backwards compatibility purposes only.
Quick_Scan = QuickScan # pylint: disable=C0103
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backend/backend/algorithms/trend_follow.py | vbyravarasu/alpharithmic-trading | 22 | 1607598 | # Zipline API
from zipline.api import attach_pipeline, pipeline_output, schedule_function, get_open_orders, order_target_percent
from zipline.pipeline import Pipeline
from zipline.utils.events import date_rules, time_rules
from zipline.pipeline.factors import AverageDollarVolume
from zipline import run_algorithm
# Data frame
import numpy as np
import pandas as pd
import statsmodels.api as sm
# Logging
from websocket import create_connection
# Data frame to JSON
from ..api.create_response import create_json_response
def trend_follow_run(start_date, end_date, capital_base, log_channel):
ws = create_connection("ws://alpharithmic.herokuapp.com/ws/logs/%s/" % log_channel)
msg_placeholder = "{\"message\": \"%s\"}"
ws.send(msg_placeholder % "Link Start")
def initialize(context):
ws.send(msg_placeholder % "Simulation Start")
context.lookback = 252 # Period to calculate slope and drawdown
context.max_leverage = 1.0 # Leverage
context.profit_take = 1.96 # 95% of bollinger band
context.minimum_return = 0.1 # Enter if and only if annualized slope exceeds this level
context.max_drawdown = 0.10 # Avoid if too much drawdown
context.market_impact = 0.2 # Max order is 10% of market trading volume
context.weights = {} # Slope at time of entry
context.drawdown = {} # Drawdown at time of entry
context.shares = {} # Daily target share
schedule_function(func=stop_loss, date_rule=date_rules.every_day(),
time_rule=time_rules.market_open(minutes=30))
ws.send(msg_placeholder % "Execution of stop loss scheduled at 30 minutes after market open")
schedule_function(func=regression, date_rule=date_rules.every_day(),
time_rule=time_rules.market_open(minutes=50))
ws.send(msg_placeholder % "Execution of regression computation scheduled at 50 minutes after market open")
schedule_function(func=trade, date_rule=date_rules.every_day(),
time_rule=time_rules.market_open(minutes=100))
ws.send(msg_placeholder % "Execution of transaction planner scheduled at 100 minutes after market open")
for thirty_minute_interval in range(30, 391, 30):
schedule_function(execute_transactions, date_rules.every_day(),
time_rules.market_open(minutes=thirty_minute_interval)) # execute every 30 minutes
ws.send(msg_placeholder % "Execution of transactions scheduled at every 30 minutes")
attach_pipeline(create_high_dollar_volume_pipeline(), 'top_dollar_volume')
ws.send(msg_placeholder % "High Dollar Volume pipeline filter attached")
def create_high_dollar_volume_pipeline():
pipe = Pipeline()
dollar_volume = AverageDollarVolume(window_length=63) # 63 days = 1 quarter
pipe.add(dollar_volume, 'dollar_volume')
high_dollar_volume = dollar_volume.percentile_between(95, 100) # top 5% by dollar volume
pipe.set_screen(high_dollar_volume)
return pipe
def before_trading_start(context, data):
context.pipe_output = pipeline_output('top_dollar_volume')
context.security_list = context.pipe_output.index
def regression(context, data):
prices = data.history(context.security_list, 'open', context.lookback, '1d')
X = range(len(prices))
# Add constant to ensure intercept
A = sm.add_constant(X)
for s in context.security_list:
# Price movement standard deviation
sd = prices[s].std()
# Price points to run regression
Y = prices[s].values
if np.isnan(Y).any():
continue
# y = ax + b
results = sm.OLS(Y, A).fit()
(b, a) = results.params
slope = a / Y[-1] * 252 # Daily return regression * 1 year
global dd
if slope > 0:
dd = drawdown(Y)
elif slope < 0:
dd = drawdown(-Y)
# How far are we from regression line?
delta = Y - (np.dot(a, X) + b)
slope_min = max(dd, context.minimum_return)
gain = get_gain(context, s)
# Exit
if s in context.weights and context.weights[s] != 0:
# Long but slope turns down
if context.weights[s] > 0 and slope < 0:
context.weights[s] = 0
ws.send(msg_placeholder % ('Gained %+2d%% for %s, exited from long because slope turns bull'
% (gain*100, str(s))))
# Short but slope turns up
elif context.weights[s] < 0 and slope > 0:
context.weights[s] = 0
ws.send(msg_placeholder % ('Gained %+2d%% for %s, exited from short because slope turns bear'
% (gain*100, str(s))))
# Profit take reaches top 95% bollinger band
elif delta[-1] > context.profit_take * sd and s in context.weights and context.weights[s] > 0:
context.weights[s] = 0
ws.send(msg_placeholder %
('Gained %+2d%% for %s, exited from long because profit take at top 95%% of bollinger band'
% (gain * 100, str(s))))
elif delta[-1] < -context.profit_take * sd and context.weights[s] < 0:
context.weights[s] = 0
ws.send(msg_placeholder %
('Gained %+2d%% for %s, exited from long because profit take at top 95%% of bollinger band'
% (gain * 100, str(s))))
# Enter
else:
# Trend is up and price crosses the regression line
if slope > slope_min and delta[-1] > 0 and delta[-2] < 0 and dd < context.max_drawdown:
context.weights[s] = slope
context.drawdown[s] = slope_min
ws.send(msg_placeholder %
('Bought %s because trend is up and price crosses regression line' % (str(s))))
# Trend is down and price crosses the regression line
if slope < -slope_min and delta[-1] < 0 and delta[-2] > 0 and dd < context.max_drawdown:
context.weights[s] = slope
context.drawdown[s] = slope_min
ws.send(msg_placeholder %
('Shorted %s because trend is down and price crosses regression line' % (str(s))))
def execute_transactions(context, data):
open_orders = get_open_orders()
for s in context.shares:
if not data.can_trade(s) or s in open_orders:
continue
pct_shares = context.shares[s]
order_target_percent(s, pct_shares)
def trade(context, data):
weights = context.weights
positions = sum(weights[weight] != 0 for weight in weights)
held_positions = [p for p in context.portfolio.positions if context.portfolio.positions[p].amount != 0]
context.securities = context.security_list.tolist() + held_positions
for security in context.securities:
if security not in weights:
context.shares.pop(security, 0)
context.drawdown.pop(security, 0)
elif weights[security] == 0:
context.shares.pop(security, 0)
context.drawdown.pop(security, 0)
elif weights[security] > 0:
context.shares[security] = context.max_leverage / positions
elif weights[security] < 0:
context.shares[security] = -(context.max_leverage / positions)
def stop_loss(context, data):
prices = data.history(list(context.portfolio.positions), 'price', context.lookback, '1d')
for s in context.portfolio.positions:
if s not in context.weights or context.weights[s] == 0:
context.shares[s] = 0
continue
if s not in prices or s in get_open_orders():
continue
gain = get_gain(context, s)
if context.portfolio.positions[s].amount > 0 and drawdown(prices[s].values) > context.drawdown[s]:
context.weights[s] = 0
context.shares[s] = 0 # stop loss
ws.send(msg_placeholder %
('Exited from long because of stop loss with change of %+2d%% for %s,'
% (gain * 100, str(s))))
elif context.portfolio.positions[s].amount < 0 and drawdown(- prices[s].values) > context.drawdown[s]:
context.weights[s] = 0
context.shares[s] = 0
ws.send(msg_placeholder %
('Exited from short because of stop loss with change of %+2d%% for %s,'
% (gain * 100, str(s))))
def drawdown(xs):
if len(xs) == 0:
return 0
period_end = np.argmax(np.maximum.accumulate(xs) - xs)
if len(xs[:period_end]) == 0:
return 0
period_start = np.argmax(xs[:period_end])
return abs((xs[period_start] - xs[period_end]) / xs[period_end])
def get_gain(context, s):
gain = 0
if s in context.portfolio.positions:
cost = context.portfolio.positions[s].cost_basis
amount = context.portfolio.positions[s].amount
price = context.portfolio.positions[s].last_sale_price
if cost == 0:
return 0
if amount > 0:
gain = price / cost - 1
elif amount < 0:
gain = 1 - price / cost
return gain
start = pd.to_datetime(start_date).tz_localize('US/Eastern')
end = pd.to_datetime(end_date).tz_localize('US/Eastern')
result = run_algorithm(start, end,
initialize=initialize, before_trading_start=before_trading_start,
capital_base=capital_base,
bundle="quandl")
ws.send(msg_placeholder % "Simulation End")
ws.send(msg_placeholder % "Fetching backtest results from Redis Queue...")
result.dropna(inplace=True)
ws.close()
return create_json_response(result)
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paper/F3/D_fixed_points.py | FedeClaudi/manyfolds | 3 | 36632 | <reponame>FedeClaudi/manyfolds<filename>paper/F3/D_fixed_points.py
import sys
import numpy as np
sys.path.append("./")
from vedo import screenshot
from vedo.shapes import Tube
from myterial import salmon
from manifold import embeddings, Plane
from manifold.visualize import Visualizer
from manifold import visualize
from manifold.rnn import RNN
"""
3D viisualization of an RNN's dynamics over time fitted
to the plane with a single fixed point attractor
at the center.
"""
visualize.reco_surface_radius = 0.5
visualize.point_size = 0.03
visualize.tangent_vector_radius = 0.015
visualize.rnn_trace_alpha = 0.62
N = 64
K = 12
def vfield(point):
# fixed point at center
p0, p1 = point.coordinates
return ((0.5 - p0) * 3, (0.5 - p1) * 3)
M = Plane(embeddings.plane_to_rn_flat, n_sample_points=12)
M.vectors_field = vfield
# fit and run RNN
rnn = RNN(M, n_units=N)
rnn.build_W(k=K, scale=1)
rnn.run_points(n_seconds=60, cut=False)
# visualize vector field
viz = Visualizer(M, rnn=None, axes=0, manifold_alpha=1, pca_sample_points=100)
cam = dict(
pos=(-7.84, -8.65, 3.76),
focalPoint=(2.38e-7, 0, 1.49),
viewup=(0.0954, 0.171, 0.981),
distance=11.9,
clippingRange=(6.02, 19.3),
)
for trace in rnn.traces:
trace_pc = viz.pca.transform(trace.trace)
coords = trace_pc.copy()
coords[:, 2] = np.linspace(0, 3, len(coords))
tube = Tube(coords, c=salmon, r=0.01, alpha=1)
viz.actors.append(tube)
viz._add_silhouette(tube)
# show vector field
viz.show(scale=0.15, show_points=True, camera=cam)
screenshot(f"./paper/images/3D_vfield_.png")
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database/models.py | SebastjanLeskovar/thundergames | 0 | 60535 | <reponame>SebastjanLeskovar/thundergames
from django.db import models
from django.urls import reverse
class TimeStampedModel(models.Model):
"""An abstract base class model that provides self-updating 'created' and 'modified' fields.
"""
created = models.DateTimeField(auto_now_add=True)
modified = models.DateTimeField(auto_now=True)
class MainGenre(TimeStampedModel):
"""Model to create MainGenre objects."""
name = models.CharField("Name", max_length=50)
image = models.ImageField("Image", upload_to='main_genre', blank=True, default='default.png')
def __str__(self):
return self.name
def get_absolute_url(self):
return reverse('database:main-genre', kwargs={'pk': self.pk})
class Subgenre(TimeStampedModel):
"""Model to create Subgenre objects."""
name = models.CharField("Name", max_length=50)
main_genre = models.ForeignKey(MainGenre, verbose_name="main genre", on_delete=models.SET("Please select main genre."))
image = models.ImageField("Image", upload_to='subgenre', blank=True, default='default.png')
def __str__(self):
return self.name
def get_absolute_url(self):
return reverse('database:subgenre', kwargs={'pk': self.pk})
class Game(TimeStampedModel):
"""Model to create Game objects."""
name = models.CharField("Name", max_length=50)
main_genre = models.ForeignKey(MainGenre, verbose_name="main genre", blank=True, on_delete=models.SET("Please select main genre."))
subgenres = models.ManyToManyField(Subgenre, verbose_name="Subgenre", blank=True)
image = models.ImageField("Image", upload_to='game', blank=True, default='default.png')
def __str__(self):
return self.name
def get_absolute_url(self):
return reverse('database:game', kwargs={'pk': self.pk})
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chibi_django/snippet/url.py | dem4ply/chibi_django | 0 | 111943 | <reponame>dem4ply/chibi_django<gh_stars>0
def show_urls( urllist, depth=0 ):
for entry in urllist:
if ( hasattr( entry, 'namespace' ) ):
print( "\t" * depth, entry.pattern.regex.pattern,
"[%s]" % entry.namespace )
else:
print( "\t" * depth, entry.pattern.regex.pattern,
"[%s]" % entry.name )
if hasattr( entry, 'url_patterns' ):
show_urls( entry.url_patterns, depth + 1 )
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] |
betterthanbackprop/feedbackLearners/learningViz/OptimTrajViz.py | conradliste/SmarterThanBackProp | 0 | 30942 | import os
import torch
import numpy as np
import torch.nn as nn
import matplotlib.pyplot as plt
def get_param_matrix(model_prefix, model_dir):
"""
Grabs the parameters of a saved model and returns them as a matrix
"""
# Load and combine the parameters
param_matrix = []
for file in os.listdir(model_dir):
if file.startswith(model_prefix):
model_path = os.path.join(model_dir, file)
state_dict = torch.load(model_path)
# Grab all params in state dict
params = [state_dict[param].data.float() for param in state_dict]
# Reshape to one long parameter vector
params = nn.utils.parameters_to_vector(params)
param_matrix.append(params.cpu().numpy())
params_matrix = np.array(param_matrix)
return params_matrix
def plot_trajectory(projected_params):
# Separate components
x = projected_params[:, 0]
y = projected_params[:, 1]
z = projected_params[:, 2]
# Creating figure
fig = plt.figure(figsize = (10, 7))
ax = plt.axes(projection ="3d")
# Creating plot
ax.scatter3D(x, y, z, color="green")
plt.title("Projected Learning Trajectory")
| [
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] |
agenda/core/views.py | EderReisS/Django-DIO | 0 | 126585 | from django.shortcuts import render
from core.models import Evento
# Create your views here.
def lista_eventos(request):
evento = Evento.objects.all()
dados = {'evento' : evento}
return render(request,'agenda.html', dados) | [
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checkerapp/apps.py | sahilr05/sitechecker | 2 | 105815 | <reponame>sahilr05/sitechecker<filename>checkerapp/apps.py
from django.apps import AppConfig
class CheckerappConfig(AppConfig):
name = "checkerapp"
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vision/scraper.py | nabsabraham/amplify-hackathon | 0 | 120588 | <filename>vision/scraper.py
from selenium import webdriver
import time
import requests
import shutil
import os
user = os.getlogin()
driver = webdriver.Chrome()
#directory = 'C:\\Users'+'\\'+user+'\Desktop'
directory = os.path.join(os.getcwd(), 'data')
inp = input("ripe bananas")
url = 'https://www.google.com/search?q='+str(inp)+'&source=lnms&tbm=isch&sa=X&ved=2ahUKEwie44_AnqLpAhUhBWMBHUFGD90Q_AUoAXoECBUQAw&biw=1920&bih=947'
iterate = int(input("Enter how many pics?"))
def save_img(inp,img,i):
try:
filename = inp+str(i)+'.jpg'
response = requests.get(img,stream=True)
image_path = os.path.join(directory, filename)
with open(image_path, 'wb') as file:
shutil.copyfileobj(response.raw, file)
except Exception:
pass
def find_urls(inp,url,driver,iterate):
driver.get(url)
time.sleep(3)
for j in range (1,iterate+1):
imgurl = driver.find_element_by_xpath('//div//div//div//div//div//div//div//div//div//div['+str(j)+']//a[1]//div[1]//img[1]')
imgurl.click()
time.sleep(15)
img = driver.find_element_by_xpath('//body/div[2]/c-wiz/div[3]/div[2]/div[3]/div/div/div[3]/div[2]/c-wiz/div[1]/div[1]/div/div[2]/a/img').get_attribute("src")
save_img(inp,img,j)
find_urls(inp,url,driver,iterate)
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2
] |
pipenv/cmdparse.py | sthagen/pipenv | 23 | 17247 | <reponame>sthagen/pipenv<filename>pipenv/cmdparse.py
import itertools
import re
import shlex
class ScriptEmptyError(ValueError):
pass
def _quote_if_contains(value, pattern):
if next(iter(re.finditer(pattern, value)), None):
return '"{0}"'.format(re.sub(r'(\\*)"', r'\1\1\\"', value))
return value
class Script(object):
"""Parse a script line (in Pipfile's [scripts] section).
This always works in POSIX mode, even on Windows.
"""
def __init__(self, command, args=None):
self._parts = [command]
if args:
self._parts.extend(args)
@classmethod
def parse(cls, value):
if isinstance(value, str):
value = shlex.split(value)
if not value:
raise ScriptEmptyError(value)
return cls(value[0], value[1:])
def __repr__(self):
return "Script({0!r})".format(self._parts)
@property
def command(self):
return self._parts[0]
@property
def args(self):
return self._parts[1:]
@property
def cmd_args(self):
return self._parts
def extend(self, extra_args):
self._parts.extend(extra_args)
def cmdify(self):
"""Encode into a cmd-executable string.
This re-implements CreateProcess's quoting logic to turn a list of
arguments into one single string for the shell to interpret.
* All double quotes are escaped with a backslash.
* Existing backslashes before a quote are doubled, so they are all
escaped properly.
* Backslashes elsewhere are left as-is; cmd will interpret them
literally.
The result is then quoted into a pair of double quotes to be grouped.
An argument is intentionally not quoted if it does not contain
foul characters. This is done to be compatible with Windows built-in
commands that don't work well with quotes, e.g. everything with `echo`,
and DOS-style (forward slash) switches.
Foul characters include:
* Whitespaces.
* Carets (^). (pypa/pipenv#3307)
* Parentheses in the command. (pypa/pipenv#3168)
Carets introduce a difficult situation since they are essentially
"lossy" when parsed. Consider this in cmd.exe::
> echo "foo^bar"
"foo^bar"
> echo foo^^bar
foo^bar
The two commands produce different results, but are both parsed by the
shell as `foo^bar`, and there's essentially no sensible way to tell
what was actually passed in. This implementation assumes the quoted
variation (the first) since it is easier to implement, and arguably
the more common case.
The intended use of this function is to pre-process an argument list
before passing it into ``subprocess.Popen(..., shell=True)``.
See also: https://docs.python.org/3/library/subprocess.html#converting-argument-sequence
"""
return " ".join(
itertools.chain(
[_quote_if_contains(self.command, r"[\s^()]")],
(_quote_if_contains(arg, r"[\s^]") for arg in self.args),
)
)
| [
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] |
lib/symbioticpy/symbiotic/symbiotic.py | IMULMUL/symbiotic | 0 | 37758 | <reponame>IMULMUL/symbiotic
#!/usr/bin/python
import os
import sys
import re
from . transform import SymbioticCC
from . verifier import SymbioticVerifier
from . options import SymbioticOptions
from . utils import err, dbg, print_elapsed_time, restart_counting_time
from . utils.utils import print_stdout
from . utils.process import ProcessRunner
from . exceptions import SymbioticExceptionalResult
class Symbiotic(object):
"""
Instance of symbiotic tool. Instruments, prepares, compiles and runs
symbolic execution on given source(s)
"""
def __init__(self, tool, src, opts=None, env=None):
# source file
self.sources = src
# source compiled to llvm bytecode
self.curfile = None
# environment
self.env = env
if opts is None:
self.options = SymbioticOptions()
else:
self.options = opts
# tool to use
self._tool = tool
def terminate(self):
pr = ProcessRunner()
if pr.hasProcess():
pr.terminate()
def kill(self):
pr = ProcessRunner()
if pr.hasProcess():
pr.kill()
def kill_wait(self):
pr = ProcessRunner()
if not pr.hasProcess():
return
if pr.exitStatus() is None:
from time import sleep
while pr.exitStatus() is None:
pr.kill()
print('Waiting for the child process to terminate')
sleep(0.5)
print('Killed the child process')
def replay_nonsliced(self, tool, cc):
bitcode = cc.prepare_unsliced_file()
params = []
if hasattr(tool, "replay_error_params"):
params = tool.replay_error_params(cc.curfile)
print_stdout('INFO: Replaying error path', color='WHITE')
restart_counting_time()
verifier = SymbioticVerifier(bitcode, self.sources,
tool, self.options,
self.env, params)
res, _ = verifier.run()
print_elapsed_time('INFO: Replaying error path time', color='WHITE')
return res
def _run_symbiotic(self):
options = self.options
cc = SymbioticCC(self.sources, self._tool, options, self.env)
bitcode = cc.run()
if options.no_verification:
return 'No verification'
verifier = SymbioticVerifier(bitcode, self.sources,
self._tool, options, self.env)
# result and the tool that decided this result
res, tool = verifier.run()
# if we crashed on the sliced file, try running on the unsliced file
# (do this optional, as well as for slicer and instrumentation)
resstartswith = res.lower().startswith
if (not options.noslice) and \
(options.sv_comp or options.test_comp) and \
(resstartswith('error') or resstartswith('unknown')):
print_stdout("INFO: Failed on the sliced code, trying on the unsliced code",
color="WHITE")
options.replay_error = False # now we do not need to replay the error
options.noslice = True # now we behave like without slicing
bitcode = cc.prepare_unsliced_file()
verifier = SymbioticVerifier(bitcode, self.sources,
self._tool, options, self.env)
res, tool = verifier.run()
print_elapsed_time('INFO: Running on unsliced code time', color='WHITE')
if tool and options.replay_error and not tool.can_replay():
dbg('Replay required but the tool does not support it')
has_error = res and\
(res.startswith('false') or\
(res.startswith('done') and options.property.errorcall()))
if has_error and options.replay_error and\
not options.noslice and tool.can_replay():
print_stdout("Trying to confirm the error path")
newres = self.replay_nonsliced(tool, cc)
dbg("Original result: '{0}'".format(res))
dbg("Replayed result: '{0}'".format(newres))
if res != newres:
# if we did not replay the original error, but we found a different error
# on this path, report it, since it should be real
has_error = newres and\
(newres.startswith('false') or\
(newres.startswith('done') and\
options.property.errorcall()))
if has_error:
res = newres
else:
res = 'cex not-confirmed'
has_error = False
if res == 'cex not-confirmed':
# if we failed confirming CEX, rerun on unsliced file
bitcode = cc.prepare_unsliced_file()
verifier = SymbioticVerifier(bitcode, self.sources,
self._tool, options, self.env)
res, tool = verifier.run()
has_error = res and\
(res.startswith('false') or\
(res.startswith('done') and options.property.errorcall()))
if has_error and hasattr(tool, "describe_error"):
tool.describe_error(cc.curfile)
if has_error and options.executable_witness and\
hasattr(tool, "generate_exec_witness"):
tool.generate_exec_witness(cc.curfile, self.sources)
if not options.nowitness and hasattr(tool, "generate_witness"):
tool.generate_witness(cc.curfile, self.sources, has_error)
return res
def run(self):
try:
return self._run_symbiotic()
except KeyboardInterrupt:
self.terminate()
self.kill()
print('Interrupted...')
return 'interrupted'
except SymbioticExceptionalResult as res:
# we got result from some exceptional case
return str(res)
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src/metarl/tf/policies/gaussian_mlp_multitask_policy.py | icml2020submission6857/metarl | 2 | 157308 | """GaussianMLPMultitaskPolicy."""
import akro
import numpy as np
import tensorflow as tf
from metarl.tf.models import GaussianMLPModel
from metarl.tf.policies.multitask_policy import StochasticMultitaskPolicy
class GaussianMLPMultitaskPolicy(StochasticMultitaskPolicy):
"""GaussianMLPMultitaskPolicy.
Args:
env_spec (metarl.envs.env_spec.EnvSpec): Environment specification.
embedding (metarl.tf.embeddings.Embedding): Embedding network.
task_space (akro.Box): Space of the task.
name (str): Model name, also the variable scope.
hidden_sizes (list[int]): Output dimension of dense layer(s) for
the MLP for mean. For example, (32, 32) means the MLP consists
of two hidden layers, each with 32 hidden units.
hidden_nonlinearity (callable): Activation function for intermediate
dense layer(s). It should return a tf.Tensor. Set it to
None to maintain a linear activation.
hidden_w_init (callable): Initializer function for the weight
of intermediate dense layer(s). The function should return a
tf.Tensor.
hidden_b_init (callable): Initializer function for the bias
of intermediate dense layer(s). The function should return a
tf.Tensor.
output_nonlinearity (callable): Activation function for output dense
layer. It should return a tf.Tensor. Set it to None to
maintain a linear activation.
output_w_init (callable): Initializer function for the weight
of output dense layer(s). The function should return a
tf.Tensor.
output_b_init (callable): Initializer function for the bias
of output dense layer(s). The function should return a
tf.Tensor.
learn_std (bool): Is std trainable.
adaptive_std (bool): Is std a neural network. If False, it will be a
parameter.
std_share_network (bool): Boolean for whether mean and std share
the same network.
init_std (float): Initial value for std.
std_hidden_sizes (list[int]): Output dimension of dense layer(s) for
the MLP for std. For example, (32, 32) means the MLP consists
of two hidden layers, each with 32 hidden units.
min_std (float): If not None, the std is at least the value of min_std,
to avoid numerical issues.
max_std (float): If not None, the std is at most the value of max_std,
to avoid numerical issues.
std_hidden_nonlinearity (callable): Nonlinearity for each hidden layer
in the std network. It should return a tf.Tensor. Set it to None to
maintain a linear activation.
std_output_nonlinearity (callable): Nonlinearity for output layer in
the std network. It should return a tf.Tensor. Set it to None to
maintain a linear activation.
std_parameterization (str): How the std should be parametrized. There
are a few options:
- exp: the logarithm of the std will be stored, and applied a
exponential transformation
- softplus: the std will be computed as log(1+exp(x))
layer_normalization (bool): Bool for using layer normalization or not.
"""
def __init__(self,
env_spec,
embedding,
task_space,
name='GaussianMLPMultitaskPolicy',
hidden_sizes=(32, 32),
hidden_nonlinearity=tf.nn.tanh,
hidden_w_init=tf.glorot_uniform_initializer(),
hidden_b_init=tf.zeros_initializer(),
output_nonlinearity=None,
output_w_init=tf.glorot_uniform_initializer(),
output_b_init=tf.zeros_initializer(),
learn_std=True,
adaptive_std=False,
std_share_network=False,
init_std=1.0,
min_std=1e-6,
max_std=None,
std_hidden_sizes=(32, 32),
std_hidden_nonlinearity=tf.nn.tanh,
std_output_nonlinearity=None,
std_parameterization='exp',
layer_normalization=False):
assert isinstance(env_spec.action_space, akro.Box)
super().__init__(env_spec, embedding, task_space, name)
self.obs_dim = env_spec.observation_space.flat_dim
self.action_dim = env_spec.action_space.flat_dim
self.model = GaussianMLPModel(
output_dim=self.action_dim,
hidden_sizes=hidden_sizes,
hidden_nonlinearity=hidden_nonlinearity,
hidden_w_init=hidden_w_init,
hidden_b_init=hidden_b_init,
output_nonlinearity=output_nonlinearity,
output_w_init=output_w_init,
output_b_init=output_b_init,
learn_std=learn_std,
adaptive_std=adaptive_std,
std_share_network=std_share_network,
init_std=init_std,
min_std=min_std,
max_std=max_std,
std_hidden_sizes=std_hidden_sizes,
std_hidden_nonlinearity=std_hidden_nonlinearity,
std_output_nonlinearity=std_output_nonlinearity,
std_parameterization=std_parameterization,
layer_normalization=layer_normalization,
name='GaussianMLPModel')
self._initialize()
def _initialize(self):
state_input = tf.compat.v1.placeholder(tf.float32,
shape=(None, self.obs_dim))
task_input = self._embedding.input
latent_input = tf.compat.v1.placeholder(
tf.float32, shape=(None, self._embedding.latent_dim))
with tf.compat.v1.variable_scope(self.name) as vs:
self._variable_scope = vs
with tf.variable_scope('concat_latent_obs'):
latent_state_input = tf.concat(
[latent_input, state_input], axis=-1)
self.model.build(latent_state_input, name='from_latent')
# Connect with embedding network's latent output
with tf.variable_scope('concat_embed_obs'):
latent_dist_info_sym = self._embedding.dist_info_sym(
task_input, name='dist_info_sym')
latent_var = self._embedding.distribution.sample_sym(
latent_dist_info_sym)
embed_state_input = tf.concat(
[latent_var, state_input], axis=-1)
self.model.build(embed_state_input, name='default')
self._f_dist_latent_obs = tf.compat.v1.get_default_session().make_callable(
[
self.model.networks['from_latent'].mean,
self.model.networks['from_latent'].log_std
],
feed_list=[latent_input, state_input])
self._f_dist_task_obs = tf.compat.v1.get_default_session().make_callable(
[
self.model.networks['default'].mean,
self.model.networks['default'].log_std,
self._embedding.latent_mean,
self._embedding.latent_std_param,
],
feed_list=[task_input, state_input])
def get_action(self, observation):
"""Get action sampled from the policy.
Args:
observation (np.ndarray): Observation from the environment.
Returns:
(np.ndarray): Action sampled from the policy.
"""
flat_task_obs = self.task_observation_space.flatten(observation)
flat_task, flat_obs = self.split_observation(flat_task_obs)
(action_mean, action_log_std, latent_mean, latent_log_std) = self._f_dist_task_obs([flat_task], [flat_obs])
rnd = np.random.normal(size=action_mean.shape)
action_sample = rnd * np.exp(action_log_std) + action_mean
action_sample = self.action_space.unflatten(action_sample[0])
action_mean = self.action_space.unflatten(action_mean[0])
action_log_std = self.action_space.unflatten(action_log_std[0])
mean = self._embedding.latent_space.unflatten(latent_mean[0])
log_std = self._embedding.latent_space.unflatten(latent_log_std[0])
latent_info = dict(mean=latent_mean, log_std=latent_log_std)
return action, dict(mean=action_mean, log_std=action_log_std, latent_info=latent_info)
def get_action_from_latent(self, latent, observation):
"""Get action sampled from the latent and observation.
Args:
latent (np.ndarray): Latent var from the policy.
observation (np.ndarray): Observation from the environment.
Returns:
(np.ndarray): Action sampled from the policy.
"""
flat_obs = self.observation_space.flatten(observation)
flat_latent = self.latent_space.flatten(latent)
mean, log_std = self._f_dist_latent_obs([flat_latent], [flat_obs])
rnd = np.random.normal(size=mean.shape)
sample = rnd * np.exp(log_std) + mean
sample = self.action_space.unflatten(sample[0])
mean = self.action_space.unflatten(mean[0])
log_std = self.action_space.unflatten(log_std[0])
return sample, dict(mean=mean, log_std=log_std)
def dist_info_sym(self, task_var, obs_var, state_info_vars=None, name='default'):
"""Build a symbolic graph of the distribution parameters.
Args:
task_var (tf.Tensor): Tensor input for symbolic graph.
obs_var (tf.Tensor): Tensor input for symbolic graph.
state_info_vars (dict): Extra state information, e.g.
previous action.
name (str): Name for symbolic graph.
Returns:
dict[tf.Tensor]: Outputs of the symbolic graph of distribution
parameters.
"""
with tf.compat.v1.variable_scope(self._variable_scope):
latent_dist_info_sym = self._embedding.dist_info_sym(
task_var, name=name)
latent = self._embedding.distribution.sample_sym(
latent_dist_info_sym)
embed_state_input = tf.concat(
[latent, obs_var], axis=-1)
mean_var, log_std_var, _, _ = self.model.build(embed_state_input, name=name)
return dict(mean=mean_var, log_std=log_std_var)
def dist_info_sym_from_latent(self, latent_var, obs_var, state_info_vars=None,
name='from_latent'):
"""Build a symbolic graph of the distribution parameters from latent.
Args:
latent_var (tf.Tensor): Tensor input for symbolic graph.
obs_var (tf.Tensor): Tensor input for symbolic graph.
state_info_vars (dict): Extra state information, e.g.
previous action.
name (str): Name for symbolic graph.
Returns:
dict[tf.Tensor]: Outputs of the symbolic graph of distribution
parameters.
"""
with tf.compat.v1.variable_scope(self._variable_scope):
embed_state_input = tf.concat([latent_var, obs_var], axis=-1)
mean_var, log_std_var, _, _ = self.model.build(embed_state_input, name=name)
return dict(mean=mean_var, log_std=log_std_var)
@property
def distribution(self):
"""Policy distribution.
Returns:
metarl.tf.distributions.DiagonalGaussian: Policy distribution.
"""
return self.model.networks['default'].dist
def get_action_from_onehot(self, observation, onehot):
"""Get action sampled from the policy based on onehot index.
Args:
observation (np.ndarray): Observation from the environment.
onehot (np.ndarray): One hot task index.
Returns:
(np.ndarray): Action sampled from the policy.
"""
raise NotImplementedError
def get_actions_from_onehots(self, observations, onehots):
"""Get actions sampled from the policy based on onehot indices.
Args:
observations (np.ndarray): Observations from the environment.
onehots (np.ndarray): One hot task indices.
Returns:
(np.ndarray): Action sampled from the policy.
"""
raise NotImplementedError
def get_actions_from_latents(self, observations, latents):
"""Get actions sampled from the policy.
Args:
observations (np.ndarray): Observations from the environment.
latents (np.ndarray): Latent.
Returns:
(np.ndarray): Actions sampled from the policy.
"""
raise NotImplementedError
def get_actions(self, observations):
"""Get action sampled from the policy.
Args:
observations (list[np.ndarray]): Observations from the environment.
Returns:
(np.ndarray): Actions sampled from the policy.
"""
raise NotImplementedError
def __getstate__(self):
"""Object.__getstate__.
Returns:
dict: the state to be pickled for the instance.
"""
new_dict = super().__getstate__()
del new_dict['_f_dist_latent_obs']
del new_dict['_f_dist_task_obs']
return new_dict
def __setstate__(self, state):
"""Object.__setstate__.
Args:
state (dict): Unpickled state.
"""
super().__setstate__(state)
self._initialize()
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sparse/coherence.py | dizcza/sparse-representation | 5 | 62509 | r"""
Mutual Coherence and Babel Function are the properties of a matrix, used to
estimate the Spark of a matrix, which in turn is used to determine the
optimality of the solution to :math:`\text{P}_0` problem.
Babel Function gives a tighter bound on the Spark of a matrix.
Spark of a matrix :math:`\boldsymbol{A}` is the size of the smallest subset of
linearly dependent columns of :math:`\boldsymbol{A}`.
.. currentmodule:: sparse.coherence
.. autosummary::
:toctree: toctree/coherence/
mutual_coherence
babel
"""
import math
from collections import namedtuple
import numpy as np
CoherenceSpark = namedtuple("CoherenceSpark", ("coherence", "spark"))
def mutual_coherence(mat):
r"""
For an arbitrary input matrix :math:`\boldsymbol{A}` of size `N` x `M`, the
mutual coherence is the maximal absolute inner-product between its
normalized columns :math:`\{ a_i \mid i=1,2,...,M \}`:
.. math::
\mu (\boldsymbol{A}) = \max_{1 \le i < j \le M}
\frac{\mid a_i^\top a_j \mid}{\|a_i\|_2 \|a_j\|_2}
:label: coh
The mutual coherence :math:`\mu` lies in range `[0, 1]`.
At the same time, the Spark lower bound of a matrix is estimated as
.. math::
\text{Spark}(\boldsymbol{A}) \ge 1 + \frac{1}{\mu(\boldsymbol{A})}
:label: spark
Parameters
----------
mat : (N, M) np.ndarray
The input matrix :math:`\boldsymbol{A}`.
Returns
-------
CoherenceSpark
A namedtuple with two attributes:
`.coherence` - mutual coherence of `mat`;
`.spark` - Spark lower bound :eq:`spark` of `mat`.
"""
mat = mat / np.linalg.norm(mat, axis=0)
gram = np.abs(mat.T.dot(mat))
np.fill_diagonal(gram, 0)
mu = gram.max()
spark = math.ceil(1 + 1 / mu)
return CoherenceSpark(mu, spark)
def babel(mat):
r"""
For an arbitrary input matrix :math:`\boldsymbol{A}` of size `N` x `M` and
normalized columns :math:`\{ a_i \mid i=1,2,...,M \}`, the Babel-Function
is defined by
.. math::
\mu_1(k) = \max_{\mid \Lambda \mid = k} \left[ \max_{j \notin \Lambda}
\sum_{i \in \Lambda}{\mid a_i^\top a_j \mid} \right]
:label: babel
If :math:`\mu_1(k-1) < 1`, this implies that any set of :math:`k` columns
from :math:`\boldsymbol{A}` are linearly dependent. In this case, the Spark
necessarily satisfies
.. math::
\text{Spark}(\boldsymbol{A}) > k = 1 + \arg \min_k
\left({\mu_1(k) > 1}\right)
:label: spark_babel
Parameters
----------
mat : (N, M) np.ndarray
The input matrix :math:`\boldsymbol{A}`.
Returns
-------
CoherenceSpark
A `namedtuple` with two attributes:
`.coherence` - a list of `M-1` elements of
:math:`\mu_1(k), \ k=1,2,...,M-1`;
`.spark` - Spark lower bound :eq:`spark_babel` of `mat`.
Notes
-----
:eq:`spark_babel` is a tighter bound on Spark than :eq:`spark`.
"""
mat = mat / np.linalg.norm(mat, axis=0)
gram = np.abs(mat.T.dot(mat))
# Gram matrix' of L2 normalized matrix entries are in range [0, 1]
# with 1s on the diagonal
gram.sort(axis=1) # sort rows
gram = gram[:, ::-1] # in descending order
gram = gram[:, 1:] # skip the first column of 1s (diagonal elements)
gram = gram.cumsum(axis=1) # cumsum rows
mu1 = gram.max(axis=0)
spark = np.nonzero(mu1 > 1)[0][0] + 2
return CoherenceSpark(mu1, spark)
def _quiz4():
mat = np.reshape([16, -2, 15, 13, 5, 6, 8, 8, 9, 4, 11, 12, 4, 12, 10, 1],
(4, 4))
print(mutual_coherence(mat))
print(babel(mat))
if __name__ == '__main__':
_quiz4()
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aio_parallel_tools/aio_task_pool/core/mixins/queue_mixin/simpleq_mixin.py | Python-Tools/aio_parallel_tools | 0 | 1615676 | <gh_stars>0
"""Submit tasks and Send Signals using simple Q."""
import asyncio
from typing import Optional, Dict, List, Any, Callable, Union
from aio_parallel_tools.aio_task_pool.core.task import Task
from aio_parallel_tools.aio_task_pool.core.signal import WorkerCloseSignal
class SimpleQMixin:
"""Submit tasks and Send Signals using simple Q.
Requirement:
loop (Property): Event loop.
Support:
queue(Property): Event loop.
waiting_tasks_number(Property): Task size in queue.
max_tasks_number(Property): Queue's max size.
make_message (Method): Make task to message.
make_close_signal (Method): Make worker colse signal.
parser_message (Method): Parser messages from queue.
"""
def __init__(self,
queue: Optional[asyncio.Queue] = None,
queue_maxsize: int = 0) -> None:
"""Initialize Simple Queue Mixin.
Args:
queue (Optional[asyncio.Queue], optional): Using a exist queue. Defaults to None.
queue_maxsize (int, optional): Set the maxsize of a new queue. Defaults to 0.
"""
if isinstance(queue, asyncio.Queue):
self._queue = queue
else:
self._queue = asyncio.Queue(maxsize=queue_maxsize, loop=self.loop)
@property
def queue(self):
"""Queue for sending and receiving tasks."""
return self._queue
@property
def waiting_tasks_number(self) -> int:
"""Now number of the waiting tasks.
Returns:
int: The number of the waiting tasks.
"""
return self._queue.qsize()
@property
def max_tasks_number(self) -> int:
"""Maximum number of the waiting tasks.
Returns:
int: The maximum number of the waiting tasks.
"""
return self._queue.maxsize
def make_message(self, task: Task, **kwargs):
"""Make task message to send."""
return task
def make_close_signal(self):
"""Make close signal to send."""
return WorkerCloseSignal
def parser_message(self, message: Any) -> Any:
"""Parser messages from queue."""
return message
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tests/test_utils.py | Kirembu/qpanel | 0 | 39129 | import unittest
from qpanel.utils import clean_str_to_div_id, underscore_to_camelcase, \
timedelta_from_field_dict
from qpanel.convert import convert_time_when_param
import time
import datetime
class UtilsTestClass(unittest.TestCase):
def test_clean_str_to_div(self):
div = 'ro/.d. i _@l_k/d_@'
self.assertEqual(clean_str_to_div_id(div), 'ro-_d_ i __l_k-d__')
def test_underscore_to_camelcase(self):
a = 'rodrigoRamirez'
self.assertEqual(underscore_to_camelcase(a), 'Rodrigoramirez')
a = 'rodrigo_Ramirez'
self.assertEqual(underscore_to_camelcase(a), 'RodrigoRamirez')
a = 'rodrigo_ramirez'
self.assertEqual(underscore_to_camelcase(a), 'RodrigoRamirez')
a = '_rodrigo_ramirez'
self.assertEqual(underscore_to_camelcase(a), '_RodrigoRamirez')
def test_timedelta_from_field_dict(self):
now = time.time()
d = {'time': now, 'time2': 'hola'}
self.assertEqual(timedelta_from_field_dict('time', d, now + 1),
datetime.timedelta(0, 1))
self.assertNotEqual(
timedelta_from_field_dict(
'time',
d,
now + 1),
datetime.timedelta(
0,
10))
self.assertEqual(
timedelta_from_field_dict(
'time',
d,
now + 100),
datetime.timedelta(
0,
100))
self.assertEqual(
timedelta_from_field_dict(
'timeno',
d,
now + 100),
datetime.timedelta(
0,
0))
self.assertEqual(
str(timedelta_from_field_dict('time', d, now + 1)), '0:00:01')
self.assertEqual(
timedelta_from_field_dict(
'time', d, now), datetime.timedelta(
0, 0))
self.assertEqual(
str(timedelta_from_field_dict('time', d, now)), '0:00:00')
d2 = {'time': 60, 'time2': 6001}
self.assertEqual(str(timedelta_from_field_dict(
'time', d2, None, True)), '0:01:00')
self.assertEqual(str(timedelta_from_field_dict(
'time2', d2, None, True)), '1:40:01')
def test_convert_time_when_param(self):
value = 'test1,00:00:00'
self.assertEqual(convert_time_when_param(value),
{'when': 'test1', 'hour': '00:00:00'})
value = 'test1'
self.assertEqual(convert_time_when_param(value),
{'when': 'test1', 'hour': '00:00:00'})
value = 'test1, 00:00:01'
self.assertEqual(convert_time_when_param(value),
{'when': 'test1', 'hour': '00:00:01'})
value = 'test1, string_wrong'
self.assertEqual(convert_time_when_param(value),
{'when': 'test1', 'hour': '00:00:00'})
value = 'test1; 00:00:01'
self.assertEqual(convert_time_when_param(value, splitter=';'),
{'when': 'test1', 'hour': '00:00:01'})
# runs the unit tests
if __name__ == '__main__':
unittest.main()
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wetterdienst/dwd/__init__.py | kmuehlbauer/wetterdienst | 1 | 41794 | # Load Pandas DataFrame extension.
import wetterdienst.dwd.pandas # noqa:F401
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server/www/packages/packages-windows/x86/ldap3/version.py | zhoulhb/teleport | 640 | 94889 | <filename>server/www/packages/packages-windows/x86/ldap3/version.py
# THIS FILE IS AUTO-GENERATED. PLEASE DO NOT MODIFY# version file for ldap3
# generated on 2018-08-01 17:55:24.174707
# on system uname_result(system='Windows', node='ELITE10GC', release='10', version='10.0.17134', machine='AMD64', processor='Intel64 Family 6 Model 58 Stepping 9, GenuineIntel')
# with Python 3.7.0 - ('v3.7.0:1bf9cc5093', 'Jun 27 2018 04:59:51') - MSC v.1914 64 bit (AMD64)
#
__version__ = '2.5.1'
__author__ = '<NAME>'
__email__ = '<EMAIL>'
__url__ = 'https://github.com/cannatag/ldap3'
__description__ = 'A strictly RFC 4510 conforming LDAP V3 pure Python client library'
__status__ = '5 - Production/Stable'
__license__ = 'LGPL v3'
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ML/linear-regression/dependent.py | PepSalehi/algorithms | 0 | 118713 | #!/usr/bin/env python
# 3rd party modules
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_absolute_error
import numpy as np
# config
n = 10**6
feature_dim = 3
# create data
x = np.random.rand(n * feature_dim).reshape(n, feature_dim)
y_true = np.random.rand(n)
# x[:, 1] = x[:, 0]
print("Frist 3 points of {} with dimension {}:".format(n, feature_dim))
print(x[:3])
# create and fit
regressor = LinearRegression()
regressor.fit(x, y_true)
# Show what it learned
print("coef_: {}".format(regressor.coef_))
print("intercept: {:.4f}".format(regressor.intercept_))
y_pred = regressor.predict(x)
print("MAE: {:.4f}".format(mean_absolute_error(y_true, y_pred)))
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Week 1 - Not so-simple Hello World/AhmadHelloWorld.py | Jasleenk47/BeginnerRoom-2020 | 5 | 42022 | print("Starter")
print("Ahmad")
print("Hello World")
print("Not so Simple") | [
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src/wee/urls.py | dipkakwani/wee_app | 2 | 36004 | from django.conf.urls import patterns, include, url
from django.contrib import admin
from django.conf.urls.static import static
from userModule.views import home
from userModule.views import userSettings
from userModule.views import logout
from groupModule.views import createGroup
from groupModule.views import group
from groupModule.views import selectgroup
from groupModule.views import groupSettings
from wee.views import *
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
import settings
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'wee.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^admin/', include(admin.site.urls)),
url(r'^home/$', home),
url(r'^newsfeed/$', newsfeed),
url(r'^logout/$', logout),
url(r'^post/$', newPost),
url(r'^newgroup/$', createGroup),
url(r'^settings/$', userSettings),
url(r'^group/(?P<groupId>\d+)/$', group),
url(r'^groups/$' , selectgroup),
url(r'^group/(?P<groupId>\d+)/settings/$', groupSettings),
url(r'^friends/$' , friends) ,
url(r'^timeline/(?P<profileUserId>\d+)/(?P<change>\w)/friend/$', updateFriend),
url(r'^timeline/(?P<profileUserId>\d+)/follow/$', updateFollow),
url(r'^timeline/(?P<profileUserId>\d+)/$', timeline),
url(r'^search/$', search),
url(r'^like/(?P<postId>\d+)/$', like),
url(r'^getlike/(?P<postId>\d+)/$', getLike),
url(r'^comment/(?P<postId>\d+)/$', comment),
url(r'^getcomment/(?P<postId>\d+)/$', getComment),
url(r'^share/(?P<postId>\d+)/$', share),
url(r'^getshare/(?P<postId>\d+)/$', getShare),
)
urlpatterns += staticfiles_urlpatterns()
urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
urlpatterns += patterns('', url(r'^.*/$', notfound), )
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] |
toy_example/data_import.py | hericonejito/health_recommendations | 0 | 176831 | <gh_stars>0
import pandas as pd
import datetime as dt
class DataImport:
def __init__(self):
self.user_ses_df = None
def import_decagon_data(self,data_path,adjust_pk_names=False,custom_user = 'U', order_by_time=True, pk_item = 'pk_article',custom_session = 'S',custom_article = 'A',seperator='\t'):
user_ses_df = pd.read_csv(data_path, sep=seperator, header=None)
print(user_ses_df)
user_ses_df.columns = ['pk_user', 'pk_session', pk_item, ]
if adjust_pk_names == True:
user_ses_df['pk_user'] = custom_user + user_ses_df['pk_user'].astype('str')
user_ses_df['pk_session'] = custom_session + user_ses_df['pk_session'].astype('str')
user_ses_df[pk_item] = custom_article + user_ses_df[pk_item].astype('str')
user_ses_df = user_ses_df.fillna(0)
self.user_ses_df = user_ses_df
def import_user_click_data(self, data_path, adjust_pk_names=False,custom_user = 'U', order_by_time=True, pk_item = 'pk_article',custom_session = 'S',custom_article = 'A',seperator='\t'):
'''
Import user click and session data from data_path and
return it in a pandas Dataframe (ordered by time if requested)
'''
self.pk_item = pk_item
user_ses_df = pd.read_csv(data_path, sep=seperator, header=None)
print(user_ses_df)
user_ses_df.columns = ['pk_user', 'pk_session', pk_item, 'timeview', 'date', 'time']
user_ses_df['date-time'] = pd.to_datetime(user_ses_df['date'] + ' ' + user_ses_df['time'],
format='%Y-%m-%d %H:%M:%S')
user_ses_df.drop(['date', 'time'], axis=1, inplace=True)
if order_by_time:
user_ses_df.sort_values('date-time', inplace=True)
if adjust_pk_names == True:
user_ses_df['pk_user'] = custom_user + user_ses_df['pk_user'].astype('str')
user_ses_df['pk_session'] = custom_session + user_ses_df['pk_session'].astype('str')
user_ses_df[pk_item] = custom_article + user_ses_df[pk_item].astype('str')
user_ses_df = user_ses_df.fillna(0)
self.user_ses_df = user_ses_df
def filter_short_sessions(self, n_items=2):
'''
From the dataframe remove those sessions that have less than 2 articles
'''
articles_per_session = self.user_ses_df.groupby(['pk_session'])[self.pk_item].nunique()
long_sessions = articles_per_session[articles_per_session >= n_items]
self.user_ses_df = self.user_ses_df[self.user_ses_df['pk_session'].isin(long_sessions.keys())]
def reduce_timeframe(self, from_date=dt.datetime(2015,1,1), to_date=dt.datetime(2018,12,31)):
'''
Reduce the dataset by filtering only the dates from the given period
'''
self.user_ses_df = self.user_ses_df[(self.user_ses_df['date-time'] >= from_date)
& (self.user_ses_df['date-time'] <= to_date)]
def import_categories_data(self, data_path):
categories_data = pd.read_csv(data_path, sep='\t',
names=['id', 'article', 'category1', 'category2', 'category3', 'category4', 'category5'])
categories_data['article'] = 'A' + categories_data['article'].astype('str')
categories_data.drop('id', 1, inplace=True)
categories_data.set_index('article', inplace=True)
# Create a dict from the dataframe
cat_dict = categories_data.to_dict('index')
# For each article assign the most probable category
# (later can be assigned several with different weights)
article_cat = dict()
for a in cat_dict:
most_probable_cat = [k for k, v in cat_dict[a].items() if v == max(cat_dict[a].values())][0]
article_cat[a] = most_probable_cat
cat_df = pd.DataFrame(list(article_cat.items()), columns=[self.pk_item, 'pk_category'])
self.user_ses_df = pd.merge(self.user_ses_df, cat_df, how='right', on=[self.pk_item, self.pk_item])
def import_video_categories(self, data_path):
video_cat_data = pd.read_csv(data_path, sep='\t', names=[self.pk_item, 'video_category_id'])
video_cat_data[self.pk_item] = 'A' + video_cat_data[self.pk_item].astype('str')
video_cat_data['video_category_id'] = 'C' + video_cat_data['video_category_id'].astype('str')
video_cat_data.set_index(self.pk_item, inplace=True)
self.video_cat_data = video_cat_data
def import_locations_data(self, data_path):
locations_data = pd.read_csv(data_path, sep='\t', names=['article', 'location'])
locations_data['article'] = 'A' + locations_data['article'].astype('str')
self.locations_data = locations_data
def remove_inactive_users(self, n_sessions=2):
sessions_per_user = self.user_ses_df.groupby(['pk_user'])['pk_session'].nunique()
active_users = sessions_per_user[sessions_per_user >= n_sessions]
self.user_ses_df = self.user_ses_df[self.user_ses_df['pk_user'].isin(active_users.keys())] | [
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festival/management/commands/export_artists.py | mykonosbiennale/mykonosbiennale.github.io | 0 | 85845 | <filename>festival/management/commands/export_artists.py
# -*- coding: utf-8 -*-
# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
import time, traceback
import collections
import re
import os
import sys
import csv
import pprint, json
import optparse
from django.core.files.base import ContentFile
from nameparser import HumanName
from django.core.serializers import serialize
from django.core.management.base import BaseCommand
from django.conf import settings
from django.utils.text import slugify
from festivaly import models as festivaly_models
from festival import models as festival_models
from filmfestival import models as filmffestival_models
class Command(BaseCommand):
help = '''rename all images'''
def handle(self, *args, **kwargs):
artists = {}
for artist in json.loads(serialize('json', festival_models.Artist.objects.all())):
artist['fields']['headshot'] = 'https://s3.amazonaws.com/com.mykonosbiennale.static/' + artist['fields'][
'headshot']
artists[artist['pk']] = artist
festivals = dict([(x['pk'], x) for x in json.loads(serialize('json', festival_models.Festival.objects.all()))])
projects = dict([(x['pk'], x['fields']) for x in json.loads(serialize('json', festival_models.Project.objects.all()))])
project_art = collections.defaultdict(list)
for artwork in json.loads(serialize('json', festival_models.Art.objects.all())):
artwork['fields']['photo'] = 'https://s3.amazonaws.com/com.mykonosbiennale.static/'+ artwork['fields']['photo']
artwork['fields']['artist_name'] = artists[artwork['fields']['artist']]['fields']['name']
project_art[artwork['fields']['project']].append(artwork)
festivals_projects = collections.defaultdict(list)
for project in json.loads(serialize('json', festival_models.Project.objects.all())):
festivals_projects[project['fields']['festival']].append(project)
project['art'] = project_art[project['pk']]
for festival in festivals.itervalues():
festival['projects'] = festivals_projects[festival['pk']]
mb = {
'festivals':festivals,
'artists': artists
}
with open('mb.json','wb') as mb_json:
json.dump(mb, mb_json)
# artist_project = collections.defaultdict(list)
# art = {}
# for artwork in json.loads(serialize('json', festival_models.Art.objects.all())):
# art[artwork['pk']] = art
# artist_project[(artwork['fields']['artist'], artwork['fields']['project'])].append(artwork)
# pprint.pprint(dict(artist_project))
#
#
# # self.rename_poster(film)
# self.rename_stills(film)
#
# def rename_poster(self, film):
# year = film.project.festival.year
# festival = film.project.festival.slug
# if film.poster:
# print film.poster.name
# ext = os.path.splitext(film.poster.name)[-1]
# poster_name = "images/mykonos-biennale-{}-{}-{}-{}-poster{}".format(
# year,
# festival,
# film.project.slug,
# film.slug.strip('-'),
# ext
# )
# poster = ContentFile(film.poster.read())
# poster.name = poster_name
# film.poster = poster
# film.save()
# print film.poster.name
#
# def rename_stills(self, film):
# print film.slug
# for i, image in enumerate(film.filmfestival_image_related.all()):
# print i, image.image.name
#
#
#
# # # for festival in festivaly_models.Festival.objects.all():
# # # print (festival, festival.slug, festival.get_absolute_url())
# # # for project in festivaly_models.Project.objects.all():
# # # print (project, project.slug, project.get_absolute_url())
# # # for festival_project in festivaly_models.FestivalProject.objects.all():
# # # festival_project.save()
# # # print (festival_project, festival_project.slug, festival_project.get_absolute_url())
# #
# # # f_2017 = festivaly_models.Festival.objects.get(year=2017)
# # # for project in festivaly_models.Project.objects.all():
# # # festival_project,_ = festivaly_models.FestivalProject.objects.get_or_create(
# # # festival= f_2017,
# # # project = project,
# # # name = project.name,
# # # text = project.text)
# #
# # # for festival in festival_models.Festival.objects.all():
# # # for projectx in festival.projectx_set.all():
# # # print festival, projectx
# #
# # def rec_2(self):
# # for artist in festival_models.Artist.objects.all():
# # try:
# # festivaly_models.Participant.objects.get(name=artist.name)
# # except:
# # self.mirgate_artist(artist)
# #
# # # for festival_project in festivaly_models.FestivalProject.objects.filter(festival__year=2015):
# # # ps = festival_models.ProjectSeason.objects.filter(project__title = festival_project.name).first()
# # # if ps:
# # # print('found', ps, 'matches',festival_project)
# #
# # # for artist in set([art.artist for art in ps.art_set.all()]):
# #
# # def purge(self):
# # print festivaly_models.FilmDirector.objects.count()
# # pees = [fd.participant for fd in festivaly_models.FilmDirector.objects.all()]
# # map(lambda x: x.delete(), pees)
# #
# # def process_names(self, text):
# # for name in re.split("\s*[\/&,]\s*", text):
# # yield HumanName(name)
# #
# # # build album for each art piece
# #
# # # album = {
# # # 'festivalproject':festivalproject,
# # # 'name': '{} - {}'.format(artist.name, work),
# # # 'text': (works[work][0].description + '\n\n'+ works[work][0].text).strip(),
# # # 'media':[]
# # # }
# # # artwork = festivaly_models.Art.objects.create(
# # # name = album['name'],
# # # text = album['text']
# # # )
# #
# # def migrate_film(self, old_film):
# # # image = ContentFile(old_film.poster.read())
# # dir_list = [str(name) for name in self.process_names(old_film.dir_by)]
# # slug = slugify(old_film.title + '-' + ' '.join(dir_list))
# # festivalproject = festivaly_models.FestivalProject.objects.get(festival__year=2015, project__name={
# # 'Dramatic Nights': 'Dramatic Nights',
# # 'Video Graffiti': 'Video Graffiti',
# # 'Dance': 'Video Graffiti',
# # 'Video Grafitti': 'Video Graffiti',
# # 'Documentary': 'Dramatic Nights',
# # }[old_film.film_type])
# # poster = None
# # if old_film.poster:
# # poster = ContentFile(old_film.poster.read())
# # poster_name = 'mykonos-biennale-{}-{}-{}-post{}'.format(
# # festivalproject.festival.slug,
# # festivalproject.project.slug,
# # old_film.slug,
# # os.path.splitext(old_film.poster.name)[1]
# # )
# #
# # # if old_film.trailer_video:
# # # #trailer_video = ContentFile(old_film.trailer_video.read())
# # # trailer_video_name = 'mykonos-biennale-{}-{}-{}-trailer{}'.format(
# # # festivalproject.festival.slug,
# # # festivalproject.project.slug,
# # # old_film.slug,
# # # os.path.splitext(old_film.poster.name)[1]
# # # )
# # def synopsis(film):
# # if film.log_line:
# # return film.log_line
# # elif film.synopsis_125:
# # return film.synopsis_125
# # elif film.synopsis_250:
# # return film.synopsis_250
# # else:
# # return film.synopsis
# #
# # stills, _ = festivaly_models.Album.objects.get_or_create(
# # name="{} dir. by {}".format(old_film.title, ', '.join(dir_list)),
# # defaults=dict(
# # text=synopsis(old_film),
# # )
# # )
# #
# # film, created = festivaly_models.Film.objects.get_or_create(ref=old_film.ref,
# # defaults=dict(
# # film_source=old_film.source.lower(),
# # ref=old_film.ref,
# # entry_status=old_film.status.lower(),
# # film_type={
# # 'Dramatic Nights': 'short',
# # 'Video Graffiti': 'art_video',
# # 'Video Grafitti': 'art_video',
# # 'Dance': 'dance',
# # 'Documentary': 'documentary',
# # }.get(old_film.film_type),
# # name=old_film.title,
# # original_title=old_film.original_title,
# # sub_by=old_film.sub_by,
# # contact_email=old_film.contact_email,
# # contact_phone=old_film.contact_phone,
# # posted_on_facebook=old_film.posted_on_facebook,
# # subtitles=old_film.subtitles,
# # language=old_film.language,
# # actors=old_film.actors,
# # year=old_film.year,
# # runtime=old_film.runtime,
# # country=old_film.country,
# # projection_copy=old_film.projection_copy,
# # projection_copy_url=old_film.projection_copy_url,
# # coming=False,
# # present=old_film.present,
# # when=old_film.when,
# # log_line=old_film.log_line,
# # synopsis=old_film.synopsis,
# # synopsis_125=old_film.synopsis_125,
# # synopsis_250=old_film.synopsis_250,
# # first_time=old_film.first_time,
# # twitter=old_film.twitter,
# # facebook=old_film.facebook,
# # other_social_media=old_film.other_social_media,
# # url=old_film.url,
# # screenwriters=old_film.screenwriters,
# # producers=old_film.producers,
# # exec_producers=old_film.exec_producers,
# # co_producers=old_film.co_producers,
# # cinematographers=old_film.cinematographers,
# # product_designers=old_film.product_designers,
# # art_directors=old_film.art_directors,
# # editors=old_film.editors,
# # sound_editors=old_film.sound_editors,
# # composers=old_film.composers,
# # crew=old_film.crew,
# # screenings=old_film.screenings,
# # genres=old_film.genres,
# # niches=old_film.niches,
# # info=old_film.info,
# # directors_statement=old_film.directors_statement,
# # production_notes=old_film.production_notes,
# # poster=poster,
# # trailer_url=old_film.trailer_url,
# # trailer_embed=old_film.trailer_embed,
# # stills=stills
# # )
# # )
# #
# # for i, image in enumerate(old_film.filmfestival_image_related.all()):
# #
# # new_image = ContentFile(image.image.read())
# # image_name = 'mykonos-biennale-{}-{}-{}-still{}{}'.format(
# # festivalproject.festival.slug,
# # festivalproject.project.slug,
# # old_film.slug,
# # ('-%d' % i) if i else '',
# # os.path.splitext(image.image.name)[1]
# # )
# # media, created = festivaly_models.Media.objects.get_or_create(
# # name='still of {}{}'.format(film.name, (' (%d)' % i) if i else ''),
# # defaults=dict(
# # text=stills.text,
# # image=new_image,
# # )
# # )
# # if created: film.stills.media.add(media)
# # return film
# #
# # def process_films(self):
# # for director in festivaly_models.FilmDirector.objects.all():
# # print director.participant.name
# #
# # def process_filmdirectors(self):
# # def process_names(text):
# # for name in re.split("\s*[\/&,]\s*", text):
# # yield HumanName(name)
# #
# # for film in filmffestival_models.Film.objects.filter(status=filmffestival_models.Film.SELECTED):
# # if festivaly_models.Film.objects.filter(ref=film.ref).first():
# # continue
# # print film, film.film_type, film.dir_by
# # new_film = self.migrate_film(film)
# # file_type = 'Video Graffiti' if film.film_type == 'Video Grafitti' else 'Dramatic Nights'
# #
# # festivalproject = festivaly_models.FestivalProject.objects.get(festival__year=2015, project__name=file_type)
# # directors = [str(name) for name in process_names(film.dir_by)]
# # # print '\t directors:', map(str, directors)
# # submitter = HumanName(film.sub_by) if film.sub_by.strip() else None
# # director_submitter = None
# # if not submitter:
# # director_submitter = directors[0]
# # elif submitter in directors:
# # # print 'MATCH'
# # director_submitter = directors[directors.index(submitter)]
# # else:
# # pass # print 'NO MATCH', submitter
# # if director_submitter:
# # pass
# # # print '\t\t director submitted', director_submitter
# # # print '\t\t ', film.contact_email
# # # print '\t\t ', film.contact_phone
# # for director in directors:
# # if director == director_submitter:
# # participant, _ = festivaly_models.Participant.objects.get_or_create(name=str(director),
# # defaults=dict(
# # phone=film.contact_phone,
# # email=film.contact_email
# # ))
# # else:
# # participant, _ = festivaly_models.Participant.objects.get_or_create(name=str(director))
# # film_director, created = festivaly_models.FilmDirector.objects.get_or_create(participant=participant,
# # festival_project=festivalproject)
# # film_director.films.add(new_film)
# # # return
# #
# # # if film.actors: print '\t actors:', [str(name) for name in process_names(film.actors)]
# # # if film.producers: print '\t producers:', [str(name) for name in process_names(film.producers)]
# # # if film.exec_producers: print '\t exec_producers:', [str(name) for name in process_names(film.exec_producers)]
# # # if film.co_producers: print '\t co_producers:', [str(name) for name in process_names(film.co_producers)]
# # # if film.cinematographers: print '\t cinematographers:', [str(name) for name in process_names(film.cinematographers)]
# # # if film.screenwriters: print '\t screenwriters:', [str(name) for name in process_names(film.screenwriters)]
# # # if film.editors: print '\t editors:', [str(name) for name in process_names(film.editors)]
# # # if film.sound_editors: print '\t sound_editors:', [str(name) for name in process_names(film.sound_editors)]
# # # if film.composers: print '\t composers:', [str(name) for name in process_names(film.composers)]
# # # if film.art_directors: print '\t art_directors:', [str(name) for name in process_names(film.art_directors)]
# # # if film.crew: print '\t crew:', [str(name) for name in process_names(film.crew)]
# #
# # def list_festivals(self):
# # for festival in festivaly_models.Festival.objects.all():
# # print (festival)
# #
# # def mirgate_artist(self, old_artist):
# # participant = self.add_participant(old_artist)
# # print participant
# # artworks = collections.defaultdict(list)
# # # collect the art by project
# # for art in old_artist.art_set.all():
# # festivalproject = festivaly_models.FestivalProject.objects.get(festival__year=2015,
# # project__name=art.project_x.project.title)
# # artworks[festivalproject].append(art)
# # for festivalproject in artworks:
# # participation, _ = festivaly_models.Artist.objects.get_or_create(festival_project=festivalproject,
# # participant=participant)
# # # collect the images by art piece
# # works = collections.defaultdict(list)
# # for photo in artworks[festivalproject]:
# # works[photo.title].append(photo)
# # # create album for each art piece
# # for work in works:
# # print '{} - {}'.format(participant.name, work)
# # artwork, created = festivaly_models.Art.objects.get_or_create(
# # name='{} - {}'.format(participant.name, work),
# # text=(works[work][0].description + '\n\n' + works[work][0].text).strip(),
# # )
# # print artwork, created
# # if created:
# # participation.artwork.add(artwork)
# # for i, photo in enumerate(works[work]):
# # image = ContentFile(photo.photo.read())
# # image.name = 'mykonos-biennale-{}-{}-{}-{}{}{}'.format(
# # festivalproject.festival.slug,
# # festivalproject.project.slug,
# # photo.artist.slug,
# # photo.slug,
# # ('-%d' % i) if i else '',
# # os.path.splitext(photo.photo.name)[1]
# # )
# # media, created = festivaly_models.Media.objects.get_or_create(
# # name='{} - {}{}'.format(participant.name, photo.title, ('(%d)' % i) if i else ''),
# # defaults=dict(
# # image=image,
# # text=(photo.description + '\n\n' + photo.text).strip(),
# # )
# # )
# # print media, created
# # if created: artwork.media.add(media)
# #
# # # def rec_art(self):
# # # for artist in festivaly_models.Artist.objects.all():
# # # if artist.artwork.first() == None:
# # # print artist
# # # old_artist = festival_models.Artist.objects.get(name=artist.participant.name)
# # # print 'old_artist:', old_artist
# # # projects = collections.defaultdict(list)
# # # for art in old_artist.art_set.all():
# # # projects[art.project_x].append(art)
# # # for project in projects:
# # # old_festival = project.festival
# # # festivalproject = festivaly_models.FestivalProject.objects.get(festival__year=old_festival.year, project__name=project.project.title)
# # # works = collections.defaultdict(list)
# # # for work in projects[project]:
# # # works[work.title].append(work)
# # # for work in works:
# #
# # # album = {
# # # 'festivalproject':festivalproject,
# # # 'name': '{} - {}'.format(artist.name, work),
# # # 'text': (works[work][0].description + '\n\n'+ works[work][0].text).strip(),
# # # 'media':[]
# # # }
# # # artwork = festivaly_models.Art.objects.create(
# # # name = album['name'],
# # # text = album['text']
# # # )
# # # artist.artwork.add(artwork)
# # # print 'artwork', artwork.pk
# # # for i,p in enumerate(works[work]):
# # # image = ContentFile(p.photo.read())
# # # image.name = 'mykonos-biennale-{}-{}-{}-{}{}{}'.format(
# # # festivalproject.festival.slug,
# # # festivalproject.project.slug,
# # # p.artist.slug,
# # # p.slug,
# # # ('-%d' % i) if i else '',
# # # os.path.splitext(p.photo.name)[1]
# # # )
# # # media = festivaly_models.Media.objects.create(
# # # image = image,
# # # name = '{} - {}'.format(artist.name, p.title),
# # # text = (p.description + '\n\n'+ p.text).strip(),
# # # )
# # # artwork.media.add(media)
# # # print 'media', media.pk
# # # print 'album', album
# #
# # # print 'project- art:', project, projects[project]
# # # print '\t old project:', art, art.project_x
# # # festival = art.project_x.festival
# # # print '\t new project:', festivaly_models.FestivalProject.objects.get(festival__year=festival.year, project__name=art.project_x.project.title)
# #
# # # break
# #
# # # for i, art in enumerate(festivaly_models.Art.objects.all()):
# # # print i, 'art', art, 'artist', [a.participant.name for a in art.artist.all()]
# #
# # # def migrate_2015_art(self):
# # # artists = collections.defaultdict(list)
# # # for ps in festival_models.ProjectSeason.objects.all():
# # # for art in ps.art_set.all():
# # # artists[art.artist.name].append((ps, art))
# # # for a in artists:
# # # print a, len(artists[a])
# # # work = {}
# # # work_images = collections.defaultdict(list)
# # # if 'XXVenieri' not in a:
# # # for ips, art in artists[a]:
# #
# # # # print """
# # # # title: {title}
# # # # slug: {slug}
# # # # show: {show}
# # # # leader: {leader}
# # # # description: {description}
# # # # text: {text}
# # # # photo: {photo}
# # # # """.format(**vars(art))
# # # fp = festivaly_models.FestivalProject.objects.get(festival__year=2015, name=ips.project.title)
# # # participant = festivaly_models.Participant.objects.get(name=a)
# # # artistp,_ = festivaly_models.Artist.objects.get_or_create(festival_project=fp, participant=participant)
# # # work[(artistp, art.title)] = art
# # # work_images[(artistp, art.title)].append(art)
# # # #continue
# # # for k in work:
# # # artistp = k[0]
# # # art = work[k]
# # # text = art.description + '\n\n'+ art.text
# # # artwork,created = festivaly_models.Art.objects.get_or_create(
# # # name=art.title,
# # # defaults={ 'text': text.strip()}
# # # )
# # # print artwork,created
# # # if created:
# # # artistp.artwork.add(artwork)
# # # for i, img in enumerate(work_images[k]):
# # # image = ContentFile(img.photo.read())
# # # image.name = 'mykonos-biennale-{}-{}-{}-{}{}{}'.format(
# # # k[0].festival_project.festival.slug,
# # # k[0].festival_project.project.slug,
# # # art.artist.slug,
# # # art.slug,
# # # ('-%d' % i) if i else '',
# # # os.path.splitext(img.photo.name)[1]
# # # )
# # # media = festivaly_models.Media.objects.create(
# # # image = image,
# # # name = artwork.name,
# # # text = artwork.text
# # # )
# # # artwork.media.add(media)
# #
# # # def rec_2015_artists(self):
# # # for artist in festival_models.Artist.objects.filter(visible=True):
# # # try:
# # # found = festivaly_models.Participant.objects.get(name=artist.name)
# # # except:
# # # print "not Found", artist.name
# # # for art in artist.art_set.all():
# # # print '\t', art, art.project_x.pk
# # # if not 'Lommel' in artist.name:
# # # self.add_participant(artist)
# #
# # def add_participant(self, artist):
# # print ('\t %s' % artist)
# # if "The" in artist.name:
# # sort_by = artist.name[4:].strip()
# # else:
# # name = HumanName(artist.name)
# # sort_by = "{} {}".format(name.last, name.first).strip()
# # headshot = artist.headshot
# # participant, created = festivaly_models.Participant.objects.get_or_create(
# # name=artist.name,
# # defaults=dict(
# # sort_by=sort_by,
# # text=artist.bio,
# # statement=artist.statement,
# # email=artist.email,
# # country=artist.country,
# # phone=artist.phone,
# # homepage=artist.homepage,
# # )
# # )
# # if created:
# # if artist.headshot:
# # participant.headshot = ContentFile(artist.headshot.read())
# # participant.headshot.name = 'mykonos-biennale-artist-{}{}'.format(artist.slug, os.path.splitext(
# # artist.headshot.name)[1])
# # participant.save()
# # print participant
# # return participant
# #
# # # def add_artist(self, artist):
# # # print ('\t %s' % artist)
# # # if "The" in artist.name:
# # # sort_by = artist.name[4:].strip()
# # # else:
# # # name = HumanName(artist.name)
# # # sort_by = "{} {}".format(name.last, name.first).strip()
# # # headshot = artist.headshot
# # # if artist.headshot:
# # # headshot = ContentFile(artist.headshot.read())
# # # headshot.name = 'mykonos-biennale-artist-{}{}'.format(artist.slug, os.path.splitext(artist.headshot.name)[1])
# # # new_artist = festivaly_models.Artist.objects.get_or_create(
# # # festival_project = festival_project,
# # # participant = festivaly_models.Participant.objects.get_or_create(
# # # name = artist.name,
# # # defaults = dict(
# # # sort_by = sort_by,
# # # text = artist.bio,
# # # statement = artist.statement,
# # # email = artist.email,
# # # country = artist.country,
# # # phone = artist.phone,
# # # homepage = artist.homepage,
# # # headshot = headshot
# # # )
# # # )[0]
# # # )
# # # print new_artist
# # # return new_artist
# #
# # # def mirgate_2015_artists(self):
# # # for festival_project in festivaly_models.FestivalProject.objects.filter(festival__year=2015):
# # # ps = festival_models.ProjectSeason.objects.filter(project__title = festival_project.name).first()
# # # if ps:
# # # print('found', ps, 'matches',festival_project)
# #
# # # for artist in set([art.artist for art in ps.art_set.all()]):
# # # print ('\t %s' % artist)
# # # if "The" in artist.name:
# # # sort_by = artist.name[4:].strip()
# # # else:
# # # name = HumanName(artist.name)
# # # sort_by = "{} {}".format(name.last, name.first).strip()
# # # headshot = artist.headshot
# # # if artist.headshot:
# # # headshot = ContentFile(artist.headshot.read())
# # # headshot.name = 'mykonos-biennale-artist-{}{}'.format(artist.slug, os.path.splitext(artist.headshot.name)[1])
# # # artist = festivaly_models.Artist.objects.get_or_create(
# # # festival_project = festival_project,
# # # participant = festivaly_models.Participant.objects.get_or_create(
# # # name = artist.name,
# # # defaults = dict(
# # # sort_by = sort_by,
# # # text = artist.bio,
# # # statement = artist.statement,
# # # email = artist.email,
# # # country = artist.country,
# # # phone = artist.phone,
# # # homepage = artist.homepage,
# # # headshot = headshot
# # # )
# # # )[0]
# # # )
# # # print artist
# # # else:
# # # print('no match for',festival_project)
# #
# #
# #
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htdfsdk/web3/_utils/threads.py | youngqqcn/htdfsdk | 2 | 193473 | """
A minimal implementation of the various gevent APIs used within this codebase.
"""
import threading
import time
from types import (
TracebackType,
)
from typing import (
Any,
Callable,
Generic,
Type,
)
from htdfsdk.web3._utils.compat import (
Literal,
)
from htdfsdk.web3.types import (
TReturn,
)
class Timeout(Exception):
"""
A limited subset of the `gevent.Timeout` context manager.
"""
seconds = None
exception = None
begun_at = None
is_running = None
def __init__(
self, seconds: float = None, exception: Type[BaseException] = None, *args: Any,
**kwargs: Any
) -> None:
self.seconds = seconds
self.exception = exception
def __enter__(self) -> 'Timeout':
self.start()
return self
def __exit__(
self, exc_type: Type[BaseException], exc_val: BaseException, exc_tb: TracebackType
) -> Literal[False]:
return False
def __str__(self) -> str:
if self.seconds is None:
return ''
return "{0} seconds".format(self.seconds)
@property
def expire_at(self) -> int:
if self.seconds is None:
raise ValueError("Timeouts with `seconds == None` do not have an expiration time")
elif self.begun_at is None:
raise ValueError("Timeout has not been started")
return self.begun_at + self.seconds
def start(self) -> None:
if self.is_running is not None:
raise ValueError("Timeout has already been started")
self.begun_at = time.time()
self.is_running = True
def check(self) -> None:
if self.is_running is None:
raise ValueError("Timeout has not been started")
elif self.is_running is False:
raise ValueError("Timeout has already been cancelled")
elif self.seconds is None:
return
elif time.time() > self.expire_at:
self.is_running = False
if isinstance(self.exception, type):
raise self.exception(str(self))
elif isinstance(self.exception, Exception):
raise self.exception
else:
raise self
def cancel(self) -> None:
self.is_running = False
def sleep(self, seconds: float) -> None:
time.sleep(seconds)
self.check()
class ThreadWithReturn(threading.Thread, Generic[TReturn]):
def __init__(
self, target: Callable[..., TReturn] = None, args: Any = None, kwargs: Any = None
) -> None:
super().__init__(
target=target,
args=args or tuple(),
kwargs=kwargs or {},
)
self.target = target
self.args = args
self.kwargs = kwargs
def run(self) -> None:
self._return = self.target(*self.args, **self.kwargs)
def get(self, timeout: float = None) -> TReturn:
self.join(timeout)
try:
return self._return
except AttributeError:
raise RuntimeError("Something went wrong. No `_return` property was set")
class TimerClass(threading.Thread):
def __init__(self, interval: int, callback: Callable[..., Any], *args: Any) -> None:
threading.Thread.__init__(self)
self.callback = callback
self.terminate_event = threading.Event()
self.interval = interval
self.args = args
def run(self) -> None:
while not self.terminate_event.is_set():
self.callback(*self.args)
self.terminate_event.wait(self.interval)
def stop(self) -> None:
self.terminate_event.set()
def spawn(
target: Callable[..., TReturn],
*args: Any,
thread_class: Type[ThreadWithReturn[TReturn]] = ThreadWithReturn,
**kwargs: Any,
) -> ThreadWithReturn[TReturn]:
thread = thread_class(
target=target,
args=args,
kwargs=kwargs,
)
thread.daemon = True
thread.start()
return thread
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3244,
13,
2
] |
qalqulus/test.py | FlyOrBoom/QuintessentialQuackbotsWithQuestionableQueryingQualifications | 0 | 128861 | <filename>qalqulus/test.py
import argparse, cv2 # image recognition stuff
# load the input image and convert it to grayscale
image = cv2.cvtColor(cv2.imread('resources/leithold-11.jpg'), cv2.COLOR_BGR2GRAY)
template = cv2.cvtColor(cv2.imread('resources/leithold-n-8.png'), cv2.COLOR_BGR2GRAY)
img = image.copy()
method = cv2.TM_SQDIFF_NORMED
# Apply template Matching
res = cv2.matchTemplate(image,template,method)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
print(min_val, max_val, min_loc, max_loc)
top_left = min_loc
bottom_right = (top_left[0] + 64, top_left[1] + 32)
cv2.rectangle(img,top_left, bottom_right, 128, 2)
cv2.imwrite('out.png',img)
| [
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scripts/prediction_and_evaluting.py | pradeepsuyal/classifying_disease_with-chest_xray | 0 | 179637 | # EVALUATING TRAINED DEEP LEARNING MODEL
# In[ ]:
history.history.keys()
# In[ ]:
plt.plot(history.history['accuracy'])
plt.plot(history.history['loss'])
plt.title('Model Loss and Accuracy Progress During Training')
plt.xlabel('Epoch')
plt.ylabel('Training Accuracy and Loss')
plt.legend(['Training Accuracy', 'Training Loss'])
# In[ ]:
plt.plot(history.history['val_loss'])
plt.title('Model Loss During Cross-Validation')
plt.xlabel('Epoch')
plt.ylabel('Validation Loss')
plt.legend(['Validation Loss'])
# In[ ]:
plt.plot(history.history['val_accuracy'])
plt.title('Model Accuracy Progress During Cross-Validation')
plt.xlabel('Epoch')
plt.ylabel('Validation Accuracy')
plt.legend(['Validation Accuracy'])
# In[ ]:
test_directory = 'Test'
# In[ ]:
test_gen = ImageDataGenerator(rescale = 1./255)
test_generator = test_gen.flow_from_directory(batch_size = 40, directory= test_directory, shuffle= True, target_size=(256,256), class_mode= 'categorical')
evaluate = model.evaluate_generator(test_generator, steps = test_generator.n // 4, verbose =1)
print('Accuracy Test : {}'.format(evaluate[1]))
# In[ ]:
from sklearn.metrics import confusion_matrix, classification_report, accuracy_score
prediction = []
original = []
image = []
for i in range(len(os.listdir(test_directory))):
for item in os.listdir(os.path.join(test_directory,str(i))):
img= cv2.imread(os.path.join(test_directory,str(i),item))
img = cv2.resize(img,(256,256))
image.append(img)
img = img / 255
img = img.reshape(-1,256,256,3)
predict = model.predict(img)
predict = np.argmax(predict)
prediction.append(predict)
original.append(i)
# In[ ]:
len(original)
# In[ ]:
score = accuracy_score(original,prediction)
print("Test Accuracy : {}".format(score))
# In[ ]:
L = 5
W = 5
fig, axes = plt.subplots(L, W, figsize = (12, 12))
axes = axes.ravel()
for i in np.arange(0, L*W):
axes[i].imshow(image[i])
axes[i].set_title('Guess={}\nTrue={}'.format(str(label_names[prediction[i]]), str(label_names[original[i]])))
axes[i].axis('off')
plt.subplots_adjust(wspace = 1.2)
# In[ ]:
print(classification_report(np.asarray(original), np.asarray(prediction)))
# In[ ]:
cm = confusion_matrix(np.asarray(original), np.asarray(prediction))
ax = plt.subplot()
sns.heatmap(cm, annot = True, ax = ax)
ax.set_xlabel('Predicted')
ax.set_ylabel('Original')
ax.set_title('Confusion_matrix')
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pype/plugins/maya/publish/collect_mayaascii.py | kalisp/pype | 0 | 54595 | from maya import cmds
import pyblish.api
class CollectMayaAscii(pyblish.api.InstancePlugin):
"""Collect May Ascii Data
"""
order = pyblish.api.CollectorOrder + 0.2
label = 'Collect Model Data'
families = ["mayaAscii"]
def process(self, instance):
# Extract only current frame (override)
frame = cmds.currentTime(query=True)
instance.data["frameStart"] = frame
instance.data["frameEnd"] = frame
# make ftrack publishable
if instance.data.get('families'):
instance.data['families'].append('ftrack')
else:
instance.data['families'] = ['ftrack']
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Stock_Analysis/pivot_points.py | vhn0912/Finance | 441 | 192956 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import warnings
warnings.filterwarnings("ignore")
import yfinance as yf
yf.pdr_override()
import datetime as dt
symbol = 'AMD'
market = 'SPY'
num_of_years = 1
start = dt.date.today() - dt.timedelta(days=365*num_of_years)
end = dt.date.today()
dataset = yf.download(symbol,start,end)
benchmark = yf.download(market,start,end)
dataset['Returns'] = dataset['Adj Close'].pct_change().dropna()
PP = pd.Series((dataset['High'] + dataset['Low'] + dataset['Close']) / 3)
R1 = pd.Series(2 * PP - dataset['Low'])
S1 = pd.Series(2 * PP - dataset['High'])
R2 = pd.Series(PP + dataset['High'] - dataset['Low'])
S2 = pd.Series(PP - dataset['High'] + dataset['Low'])
R3 = pd.Series(dataset['High'] + 2 * (PP - dataset['Low']))
S3 = pd.Series(dataset['Low'] - 2 * (dataset['High'] - PP))
R4 = pd.Series(dataset['High'] + 3 * (PP - dataset['Low']))
S4 = pd.Series(dataset['Low'] - 3 * (dataset['High'] - PP))
R5 = pd.Series(dataset['High'] + 4 * (PP - dataset['Low']))
S5 = pd.Series(dataset['Low'] - 4 * (dataset['High'] - PP))
P = pd.Series((dataset['Open'] + (dataset['High'] + dataset['Low'] + dataset['Close'])) / 4) # Opening Price Formula
psr = {'P':P, 'R1':R1, 'S1':S1, 'R2':R2, 'S2':S2, 'R3':R3, 'S3':S3,'R4':R4, 'S4':S4,'R5':R5, 'S5':S5}
PSR = pd.DataFrame(psr)
dataset = dataset.join(PSR)
print(dataset.head())
pivot_point = pd.concat([dataset['Adj Close'],P,R1,S1,R2,S2,R3,S3],axis=1).plot(figsize=(18,12),grid=True)
plt.title('Stock Pivot Point')
plt.legend(['Price','P','R1','S1','R2','S2','R3','S3'], loc=0)
plt.show()
dataset['Adj Close']['2018-05-01':'2018-06-01']
date_range = dataset[['Adj Close','P','R1','S1','R2','S2','R3','S3']]['2018-05-01':'2018-06-01']# Pick Date Ranges
P = pd.Series((dataset['High'] + dataset['Low'] + 2*dataset['Close']) / 4)
R1 = pd.Series(2 * P - dataset['Low'])
S1 = pd.Series(2 * P - dataset['High'])
R2 = pd.Series(P + dataset['High'] - dataset['Low'])
S2 = pd.Series(P - dataset['High'] + dataset['Low'])
wpp = {'P':P, 'R1':R1, 'S1':S1, 'R2':R2, 'S2':S2}
WPP = pd.DataFrame(wpp)
print(WPP.head())
R1 = pd.Series((dataset['High'] - dataset['Low']) * 1.1 / (2+dataset['Close']))
R2 = pd.Series((dataset['High'] - dataset['Low']) * 1.1 / (4+dataset['Close']))
R3 = pd.Series((dataset['High'] - dataset['Low']) * 1.1 / (6+dataset['Close']))
R4 = pd.Series((dataset['High'] - dataset['Low']) * 1.1 / (12+dataset['Close']))
S1 = pd.Series((dataset['Close'] - (dataset['High']-dataset['Low']) * 1.1)/12)
S2 = pd.Series((dataset['Close'] - (dataset['High']-dataset['Low']) * 1.1)/6)
S3 = pd.Series((dataset['Close'] - (dataset['High']-dataset['Low']) * 1.1)/4)
S4 = pd.Series((dataset['Close'] - (dataset['High']-dataset['Low']) * 1.1)/2)
cpp = {'R1':R1, 'S1':S1, 'R2':R2, 'S2':S2, 'R3':R3, 'S3':S3,'R4':R4, 'S4':S4}
CPP = pd.DataFrame(cpp)
print(CPP.head())
dataset = yf.download(symbol,start,end)
h_l_c = dataset['Close'] < dataset['Open']
h_lc = dataset['Close'] > dataset['Open']
hl_c = dataset['Close'] == dataset['Open']
P = np.zeros(len(dataset['Close']))
P[h_l_c] = dataset['High'][h_l_c] + 2.0 * dataset['Low'][h_l_c] + dataset['Close'][h_l_c]
P[h_lc] = 2.0 * dataset['High'][h_lc] + dataset['Low'][h_lc] + dataset['Close'][h_lc]
P[hl_c] = dataset['High'][hl_c] + dataset['Low'][hl_c] + 2.0 * dataset['Close'][hl_c]
S1 = P / 2.0 - dataset['High']
R1 = P / 2.0 - dataset['Low']
P = P / 4.0
tdm = {'P': P, 'S1': S1, 'R1': R1}
TDM = pd.DataFrame(tdm)
print(TDM.head())
PP = pd.Series((dataset['High'] + dataset['Low'] + dataset['Close']) / 3)
R1 = pd.Series((PP + (dataset['High'] - dataset['Low']) * 0.382))
R2 = pd.Series((PP + (dataset['High'] - dataset['Low']) * 0.618))
R3 = pd.Series((PP + (dataset['High'] - dataset['Low']) * 1.000))
S1 = pd.Series((PP - (dataset['High'] - dataset['Low']) * 0.382))
S2 = pd.Series((PP - (dataset['High'] - dataset['Low']) * 0.618))
S3 = pd.Series((PP - (dataset['High'] - dataset['Low']) * 1.000))
fpp = {'PP':PP, 'R1':R1, 'S1':S1, 'R2':R2, 'S2':S2, 'R3':R3, 'S3':S3}
FPP = pd.DataFrame(fpp)
print(FPP.head()) | [
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] |
scripts/mgear/synoptic/utils.py | marza-animation-planet/mgear_synoptic | 72 | 91401 | import traceback
import pymel.core as pm
import mgear
from mgear.vendor.Qt import QtCore
from mgear.core.anim_utils import *
# =============================================================================
# constants
# =============================================================================
SYNOPTIC_WIDGET_NAME = "synoptic_view"
##################################################
#
##################################################
def getSynopticWidget(widget, max_iter=20):
"""Return the widget where the synoptic panel is attach
Arguments:
widget (QWidget): The widget to get the parent
max_iter (int, optional): Iteration limit to find the paretn widget
Returns:
widget: The Parent widget
"""
parent = widget.parentWidget()
for i in range(max_iter):
if parent.objectName() == SYNOPTIC_WIDGET_NAME:
return parent
parent = parent.parentWidget()
return False
def getModel(widget):
"""Get the model Name
Args:
widget (QWidget): Synoptic widget
Returns:
PyNode: The rig model name
"""
syn_widget = getSynopticWidget(widget, max_iter=20)
model_name = syn_widget.model_list.currentText()
if not pm.ls(model_name):
return None
try:
model = pm.PyNode(model_name)
except pm.general.MayaNodeError:
mes = traceback.format_exc()
mes = "Can't find model {0} for widget: {1}\n{2}".format(
model_name, widget, mes)
mgear.log(mes, mgear.sev_error)
return None
return model
##################################################
# SELECT
##################################################
# ================================================
def selectObj(model, object_names, mouse_button, key_modifier):
"""Select an object
Args:
model (PyNode): The rig top node
object_names (list): The names of the objects to select
mouse_button (QtSignal): Clicked mouse button signal
key_modifier (QtSignal): Modifier button signal
Returns:
None
"""
if not model:
return
nameSpace = getNamespace(model)
with pm.UndoChunk():
nodes = []
for name in object_names:
if nameSpace:
node = getNode(nameSpace + ":" + name)
else:
node = getNode(name)
if not node:
continue
if not node and nameSpace:
mgear.log("Can't find object : %s:%s" % (nameSpace, name),
mgear.sev_error)
elif not node:
mgear.log("Can't find object : %s" % (name), mgear.sev_error)
nodes.append(node)
if not nodes:
return
if mouse_button == QtCore.Qt.RightButton:
mirrorPose(False, nodes)
return
if mouse_button == QtCore.Qt.MiddleButton:
mirrorPose(True, nodes)
return
# Key pressed
if key_modifier is None:
pm.select(nodes)
elif key_modifier == QtCore.Qt.NoModifier: # No Key
pm.select(nodes)
elif key_modifier == QtCore.Qt.ControlModifier: # ctrl
pm.select(nodes, deselect=True)
elif key_modifier == QtCore.Qt.ShiftModifier: # shift
pm.select(nodes, toggle=True)
elif int(key_modifier) == (QtCore.Qt.ControlModifier
| QtCore.Qt.ShiftModifier): # ctrl + shift
pm.select(nodes, add=True)
elif key_modifier == QtCore.Qt.AltModifier: # alt
pm.select(nodes)
elif int(key_modifier) == (QtCore.Qt.ControlModifier
| QtCore.Qt.AltModifier): # ctrl + alt
pm.select(nodes, deselect=True)
elif int(key_modifier) == (QtCore.Qt.ShiftModifier
| QtCore.Qt.AltModifier): # shift + alt
pm.select(nodes, toggle=True)
# Ctrl + alt + shift
elif int(key_modifier) == (QtCore.Qt.ControlModifier
| QtCore.Qt.AltModifier
| QtCore.Qt.ShiftModifier):
pm.select(nodes, add=True)
else:
pm.select(nodes)
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firebaseClient/gpioTest.py | tabris2015/personCounter | 0 | 99758 | <gh_stars>0
from gpiozero import Button
from time import sleep
##### pin definitions
IN1 = 6
OUT1 = 13
IN2 = 19
OUT2 = 26
def in1():
print("in1!")
def out1():
print("out1!")
def in2():
print("in2!")
def out2():
print("out2!")
in1_button = Button(IN1, pull_up=False)
out1_button = Button(OUT1, pull_up=False)
in2_button = Button(IN2, pull_up=False)
out2_button = Button(OUT2, pull_up=False)
in1_button.when_pressed = in1
out1_button.when_pressed = out1
in2_button.when_pressed = in2
out2_button.when_pressed = out2
while True:
sleep(0.2)
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mirari/TCS/migrations/0032_auto_20190308_1454.py | gcastellan0s/mirariapp | 0 | 140919 | # Generated by Django 2.0.5 on 2019-03-08 20:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('TCS', '0031_auto_20190228_1417'),
]
operations = [
migrations.AddField(
model_name='orderservice',
name='brandName',
field=models.CharField(blank=True, max_length=250),
),
migrations.AddField(
model_name='orderservice',
name='companyName',
field=models.CharField(blank=True, max_length=250),
),
migrations.AddField(
model_name='orderservice',
name='modeloName',
field=models.CharField(blank=True, max_length=250),
),
migrations.AddField(
model_name='orderservice',
name='storeName',
field=models.CharField(blank=True, max_length=250),
),
]
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chapter-6/holdings/holdings/clients.py | wallacei/microservices-in-action-copy | 115 | 66568 | import logging
import requests
from tenacity import before_log, retry, stop_after_attempt
class MarketDataClient(object):
logger = logging.getLogger(__name__)
base_url = 'http://market-data:8000'
def _make_request(self, url):
response = requests.get(
f"{self.base_url}/{url}", headers={'content-type': 'application/json'})
return response.json()
@retry(stop=stop_after_attempt(3),
before=before_log(logger, logging.DEBUG))
def all_prices(self):
return self._make_request("prices")
def price(self, code):
return self._make_request(f"prices/{code}")
| [
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sourcecode/Lab02_1/main.py | anhquannguyen21/Knowledge-Based | 0 | 81445 | import sys, getopt
import knowledgeBase
import sentence
def addNegativeAlphaToKb(kb, alpha):
for s in alpha:
kb.append(sentence.Sentence([-s]))
def pl_resolution(kb, alpha):
# store existed sentences hashes
hashSet = set()
# store existed sentences
base = knowledgeBase.KnowledgeBase([])
# new store new sentences created after a loop
# initialized with the given sentences and negative alpha
addNegativeAlphaToKb(kb, alpha)
newBase = knowledgeBase.KnowledgeBase(kb)
newBase.addToSet(hashSet)
# result of kb entials alpha
res = None
# loop until result is comfirmed
while res is None:
# resolve return new sentences created with
# sentences in base1 resolve sentences in base2
# and a boolean check if empty sentence exists
new, hasEmpty1 = base.resolve(newBase, hashSet)
new2, hasEmpty2 = newBase.resolve(newBase, hashSet)
# concat new sentences
new += new2
# if exist an empty sentence, result is true
if hasEmpty1 or hasEmpty2:
res = True
# if no new sentence is created, result if false
if len(new) == 0:
res = False
# push previous new sentences to knowledgebase
base.push(newBase)
# new sentences base is newly created sentences
newBase = knowledgeBase.KnowledgeBase(new)
base.push(newBase)
return res, base
def handleArgv(argv):
inputfile = ''
outputfile = ''
try:
opts, args = getopt.getopt(argv,"hi:o:",["ifile=","ofile="])
except getopt.GetoptError:
print 'main.py -i <inputfile> -o <outputfile>'
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print 'main.py -i <inputfile> -o <outputfile>'
sys.exit()
elif opt in ("-i", "--ifile"):
inputfile = arg
elif opt in ("-o", "--ofile"):
outputfile = arg
if inputfile == '' or outputfile == '':
print 'main.py -i <inputfile> -o <outputfile>'
sys.exit()
return inputfile, outputfile
def number(str):
str = str.strip()
n = ord(str[-1])
return n if len(str) == 1 else -n
def input(inputfile):
kb = []
with open(inputfile) as f:
alpha = [number(x) for x in next(f).split('OR')]
n = int(next(f))
for line in f:
clause = [number(x) for x in line.split('OR')]
kb.append(sentence.Sentence(clause))
return kb, alpha
def output(outputfile, res, base):
base.printChunksToFile(outputfile, 1)
with open(outputfile, "a") as f:
if res == True:
f.write("YES")
else:
f.write("NO")
def main(argv):
inputfile, outputfile = handleArgv(argv)
kb, alpha = input(inputfile)
res, base = pl_resolution(kb, alpha)
output(outputfile, res, base)
if __name__ == '__main__':
main(sys.argv[1:]) | [
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] |
palor/tests.py | Kizito-Alberrt/gallery-palor | 0 | 122869 | <reponame>Kizito-Alberrt/gallery-palor<filename>palor/tests.py
from django.forms.fields import ImageField
from django.test import TestCase
from .models import Editor, Article,tags
# Create your tests here.
class imageTestClass(TestCase):
def setUp(self):
self.gallery= ImageField(first_name = 'James', last_name ='Muriuki', email ='<EMAIL>')
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tests/test_kafka_integration.py | W1ckedS1ck/website-metric-producer | 0 | 69486 | import unittest
from tests import app_factory
from config import integration_mode
from datetime import datetime, timezone
class MyKafkaConsumerTest(unittest.TestCase):
my_kafka_p = None
my_kafka_c = None
def setUp(self):
if integration_mode is False:
self.assertTrue(True)
return
self.assertTrue(self.my_kafka_p is None)
self.my_kafka_p = app_factory.build_kafka_producer(True)
# Make sure app is passed in correctly and has correct type
self.assertTrue(self.my_kafka_p is not None)
self.assertTrue(self.my_kafka_c is None)
self.my_kafka_c = app_factory.build_kafka_consumer(True)
# Make sure app is passed in correctly and has correct type
self.assertTrue(self.my_kafka_c is not None)
def tearDown(self):
if integration_mode is False:
self.assertTrue(True)
return
# Make sure app is passed in correctly and has correct type
self.assertTrue(self.my_kafka_p is not None)
self.assertTrue(self.my_kafka_c is not None)
def test_instance_type(self):
if integration_mode is False:
self.assertTrue(True)
return
self.assertTrue(isinstance(self.my_kafka_p, app_factory.MyKafkaProducer))
self.assertTrue(isinstance(self.my_kafka_c, app_factory.MyKafkaConsumer))
def test_ping_pong(self):
if integration_mode is False:
self.assertTrue(True)
return
messages = [[1, datetime.now(timezone.utc).__str__(), 200, 23.23, True]]
self.my_kafka_p.send_measurements(messages)
isSuccessful, measurement_results = self.my_kafka_c.receive_messages()
self.assertTrue(isSuccessful)
self.assertEqual(messages, measurement_results)
if __name__ == '__main__':
unittest.main()
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googledataprocauthenticator/tests/test_dataprocmagic.py | mollypi/dataprocmagic | 2 | 36665 | <filename>googledataprocauthenticator/tests/test_dataprocmagic.py
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests the `%manage_dataproc` and `%spark` magics"""
from mock import patch, MagicMock, PropertyMock
from nose.tools import raises, assert_equals, with_setup
from google.oauth2 import credentials
import googledataprocauthenticator
from googledataprocauthenticator.google import GoogleAuth
from googledataprocauthenticator.magics.dataprocmagics import DataprocMagics
from sparkmagic.livyclientlib.endpoint import Endpoint
from sparkmagic.livyclientlib.livysession import LivySession
from sparkmagic.livyclientlib.exceptions import BadUserConfigurationException
from sparkmagic.utils.utils import parse_argstring_or_throw, initialize_auth
from sparkmagic.utils.constants import SESSION_KIND_SPARK
magic = None
spark_controller = None
shell = None
ipython_display = None
def _setup():
with patch('googledataprocauthenticator.magics.dataprocmagics.DataprocMagics.self.db', new_callable=PropertyMock,
return_value=mocked_db):
global magic, spark_controller, shell, ipython_display
magic = DataprocMagics(shell=None, widget=MagicMock())
magic.shell = shell = MagicMock()
magic.ipython_display = ipython_display = MagicMock()
magic.spark_controller = spark_controller = MagicMock()
def _teardown():
pass
stored_endpoints = ("http://url.com", Endpoint("http://url.com", "default-credentials"))
get_session_id_to_name = {1234: 'my_session'}
sessions_mock = {'my_session': LivySession(http_client=MagicMock(), properties={"kind":SESSION_KIND_SPARK, \
"heartbeatTimeoutInSecond": 60}, ipython_display=ipython_display, session_id=1234)}
sessions_list_mock = [LivySession(http_client=MagicMock(), properties={"kind":SESSION_KIND_SPARK,\
"heartbeatTimeoutInSecond": 60}, ipython_display=ipython_display, session_id=1234)]
mocked_db = {'autorestore/stored_endpoints': stored_endpoints, 'autorestore/get_session_id_to_name': get_session_id_to_name,}
def make_credentials():
return credentials.Credentials(
token=None,
refresh_token='refresh',
token_uri='token_uri',
client_id='client_id',
client_secret='client_secret',
)
creds = make_credentials()
mock_credentialed_accounts_valid_accounts = ({'<EMAIL>'}, '<EMAIL>')
AUTH_DESCRIBE_USER = '{"client_id": "client_id", \
"client_secret": "secret", "refresh_token": "refresh","type": "authorized_user"}'
@with_setup(_setup, _teardown)
def test_session_command_parses():
print_info_mock = MagicMock()
magic._print_local_info = print_info_mock
command = "session"
magic.spark(command)
print_info_mock.assert_called_once_with()
@with_setup(_setup, _teardown)
def test_session_endpoint_command_parses():
print_info_mock = MagicMock()
magic._print_endpoint_info = print_info_mock
command = "session -u http://url.com -i 1234"
spark_controller.get_all_sessions_endpoint_info = MagicMock(return_value=None)
magic.spark(command)
print_info_mock.assert_called_once_with(None, 1234)
@with_setup(_setup, _teardown)
def test_add_sessions_command_parses_google_default_credentials():
with patch('google.auth.default', return_value=(creds, 'project'), \
autospec=True):
add_sessions_mock = MagicMock()
spark_controller.add_session = add_sessions_mock
command = "add"
name = "-s name"
language = "-l python"
account = "-g default-credentials"
connection_string = "-u http://url.com -t Google"
line = " ".join([command, name, language, connection_string, account])
magic.spark(line)
args = parse_argstring_or_throw(DataprocMagics.spark, line)
auth_instance = initialize_auth(args)
add_sessions_mock.assert_called_once_with("name", Endpoint("http://url.com", initialize_auth(args)),
False, {"kind": "pyspark"})
assert_equals(auth_instance.url, "http://url.com")
isinstance(auth_instance, GoogleAuth)
assert_equals(auth_instance.active_credentials, 'default-credentials')
@with_setup(_setup, _teardown)
def test_add_sessions_command_parses_google_user_credentials():
with patch('sparkmagic.auth.google.list_credentialed_user_accounts', \
return_value=mock_credentialed_accounts_valid_accounts), patch('subprocess.check_output',\
return_value=AUTH_DESCRIBE_USER):
add_sessions_mock = MagicMock()
spark_controller.add_session = add_sessions_mock
command = "add"
name = "-s name"
language = "-l python"
account = "-g <EMAIL>"
connection_string = "-u http://url.com -t Google"
line = " ".join([command, name, language, connection_string, account])
magic.spark(line)
args = parse_argstring_or_throw(DataprocMagics.spark, line)
auth_instance = initialize_auth(args)
add_sessions_mock.assert_called_once_with("name", Endpoint("http://url.com", initialize_auth(args)),
False, {"kind": "pyspark"})
assert_equals(auth_instance.url, "http://url.com")
isinstance(auth_instance, GoogleAuth)
assert_equals(auth_instance.active_credentials, '<EMAIL>')
@with_setup(_setup, _teardown)
def test_add_sessions_command_parses_session_already_exists():
spark_controller.get_all_sessions_endpoint = MagicMock(return_value=sessions_list_mock)
get_managed_clients_mock = MagicMock(return_value=sessions_mock)
spark_controller.get_managed_clients = get_managed_clients_mock
add_sessions_mock = MagicMock()
spark_controller.session_manager.add_session = add_sessions_mock
command = "add"
name = "-s my_session"
language = "-l python"
connection_string = "-u http://url.com -t {} -g <EMAIL>".format('Google')
line = " ".join([command, name, language, connection_string])
magic.spark(line)
assert_equals(magic.db['autorestore/stored_endpoints'], stored_endpoints)
assert_equals(magic.db['autorestore/get_session_id_to_name'], get_session_id_to_name)
add_sessions_mock.assert_not_called()
@raises(BadUserConfigurationException)
@with_setup(_setup, _teardown)
def test_add_sessions_command_raises_google_no_account():
with patch('google.auth.default', return_value=(creds, 'project'), \
autospec=True):
add_sessions_mock = MagicMock()
spark_controller.add_session = add_sessions_mock
command = "add"
name = "-s name"
language = "-l python"
connection_string = "-u http://url.com -t Google"
line = " ".join([command, name, language, connection_string])
magic.spark(line)
args = parse_argstring_or_throw(DataprocMagics.spark, line)
initialize_auth(args)
@with_setup(_setup, _teardown)
def test_restore_endpoints():
with patch('google.auth.default', return_value=(creds, 'project'),\
autospec=True):
assert_equals(magic.endpoints, stored_endpoints)
@with_setup(_setup, _teardown)
def test_restore_sessions():
with patch('google.auth.default', return_value=(creds, 'project'),\
autospec=True):
spark_controller.get_all_sessions_endpoint = MagicMock(return_value=sessions_list_mock)
spark_controller.get_managed_clients = []
add_sessions_mock = MagicMock()
spark_controller.session_manager.add_session = add_sessions_mock
add_sessions_mock.assert_called_once_with("my_session", LivySession(http_client=MagicMock(),\
properties={"kind":SESSION_KIND_SPARK, "heartbeatTimeoutInSecond": 60}, ipython_display=ipython_display, session_id=12345))
assert_equals(spark_controller, stored_endpoints)
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CIM14/ENTSOE/Dynamics/IEC61970/Dynamics/ExcitationSystems/ExcitationSystemsExcST4B.py | MaximeBaudette/PyCIM | 58 | 180601 | <reponame>MaximeBaudette/PyCIM
# Copyright (C) 2010-2011 <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, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
from CIM14.ENTSOE.Dynamics.IEC61970.Core.CorePowerSystemResource import CorePowerSystemResource
class ExcitationSystemsExcST4B(CorePowerSystemResource):
def __init__(self, kp=0.0, xl=0.0, vbmax=0.0, ki=0.0, kir=0.0, vrmin=0.0, vmmin=0.0, kim=0.0, ta=0.0, kg=0.0, tr=0.0, kc=0.0, vrmax=0.0, angp=0.0, kpr=0.0, vgmax=0.0, kpm=0.0, vmmax=0.0, *args, **kw_args):
"""Initialises a new 'ExcitationSystemsExcST4B' instance.
@param kp:
@param xl:
@param vbmax:
@param ki:
@param kir:
@param vrmin:
@param vmmin:
@param kim:
@param ta:
@param kg:
@param tr:
@param kc:
@param vrmax:
@param angp:
@param kpr:
@param vgmax:
@param kpm:
@param vmmax:
"""
self.kp = kp
self.xl = xl
self.vbmax = vbmax
self.ki = ki
self.kir = kir
self.vrmin = vrmin
self.vmmin = vmmin
self.kim = kim
self.ta = ta
self.kg = kg
self.tr = tr
self.kc = kc
self.vrmax = vrmax
self.angp = angp
self.kpr = kpr
self.vgmax = vgmax
self.kpm = kpm
self.vmmax = vmmax
super(ExcitationSystemsExcST4B, self).__init__(*args, **kw_args)
_attrs = ["kp", "xl", "vbmax", "ki", "kir", "vrmin", "vmmin", "kim", "ta", "kg", "tr", "kc", "vrmax", "angp", "kpr", "vgmax", "kpm", "vmmax"]
_attr_types = {"kp": float, "xl": float, "vbmax": float, "ki": float, "kir": float, "vrmin": float, "vmmin": float, "kim": float, "ta": float, "kg": float, "tr": float, "kc": float, "vrmax": float, "angp": float, "kpr": float, "vgmax": float, "kpm": float, "vmmax": float}
_defaults = {"kp": 0.0, "xl": 0.0, "vbmax": 0.0, "ki": 0.0, "kir": 0.0, "vrmin": 0.0, "vmmin": 0.0, "kim": 0.0, "ta": 0.0, "kg": 0.0, "tr": 0.0, "kc": 0.0, "vrmax": 0.0, "angp": 0.0, "kpr": 0.0, "vgmax": 0.0, "kpm": 0.0, "vmmax": 0.0}
_enums = {}
_refs = []
_many_refs = []
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pyMIDICapSense.py | midilab/pyMIDICapSense | 2 | 26610 | <filename>pyMIDICapSense.py
import wiringpi2
import rtmidi
from defines import *
from config import *
#import config
# config.TIMEOUT
def Setup(outPin, inPin, ledPin):
# set Send Pin Register
wiringpi2.pinMode(outPin, OUTPUT)
# set receivePin Register low to make sure pullups are off
wiringpi2.pinMode(inPin, OUTPUT)
wiringpi2.digitalWrite(inPin, LOW)
wiringpi2.pinMode(inPin, INPUT)
# set ledPin
wiringpi2.pinMode(ledPin, OUTPUT)
wiringpi2.digitalWrite(ledPin, LOW)
def CapRead(outPin, inPin, total=0, cycles=CYCLES):
# set Send Pin Register low
wiringpi2.digitalWrite(outPin, LOW)
# set send Pin High
wiringpi2.digitalWrite(outPin, HIGH)
# while receive pin is LOW AND total is positive value
while( wiringpi2.digitalRead(inPin) == LOW and total < TIMEOUT ):
total+=1
if ( total > TIMEOUT ):
return -2 # total variable over TIMEOUT
# set receive pin HIGH briefly to charge up fully - because the while loop above will exit when pin is ~ 2.5V
wiringpi2.digitalWrite(inPin, HIGH)
# set send Pin LOW
wiringpi2.digitalWrite(outPin, LOW)
# while receive pin is HIGH AND total is less than TIMEOUT
while( wiringpi2.digitalRead(inPin) == HIGH and total < TIMEOUT) :
total+=1
if ( total >= TIMEOUT ):
return -2
# decrement cycles counting
cycles-=1
# if we reach the end of cycles, then...
if (cycles == 0):
if DEBUG:
print("total unit count: %d" % total)
# get the average of values over the cycles
total = round(total/CYCLES)
# if the average total is greater of equal to TRIGGER value
if ( total >= TRIGGER ):
return 1
else:
return 0
return CapRead(outPin, inPin, total, cycles)
def ChangeBank():
global BANK
# increment bank number
BANK += 1
# check for bank boundaries
if ( BANK > BANK_MAX ):
BANK = 1
print("BANK: %d selected" % BANK)
# blink the led x times followed by BANK number
#i = 0
#while ( i < BANK ):
# wiringpi2.delay(500)
# wiringpi2.digitalWrite(SENSORS[7]['led'], HIGH)
# wiringpi2.delay(500)
# wiringpi2.digitalWrite(SENSORS[7]['led'], LOW)
# i += 1
# Initial definitions
note = 0;
# setup sensor input and output pins
for sensor in SENSORS:
Setup(sensor['output'], sensor['input'], sensor['led'])
# Init virtual midi port
midi_out = rtmidi.MidiOut()
midi_out.open_virtual_port()
# loop
while True:
for sensor in SENSORS:
if (DEBUG):
print("############ %s" % sensor['name'])
value = CapRead(sensor['output'], sensor['input'])
if ( value and ( value != sensor['last_value'] ) ):
print("############ %s" % sensor['name'])
#if (sensor['note'][BANK-1] == 0):
if (sensor['type'] == BANK_CHANGE):
# change bank request
ChangeBank()
note = 0
elif (sensor['type'] == BANK_SELECT):
note = sensor['note'][BANK-1]
elif (sensor['type'] == RANDOM):
# stuff for ramdom type
note = note
elif (sensor['type'] == SEQUENTIAL):
# stuff for sequential sensor type
sensor['seq_next'] += 1
if ( sensor['seq_next'] >= len(sensor['note']) ):
sensor['seq_next'] = 0
note = sensor['note'][sensor['seq_next']]
print ('Send Note ON: %d' % note)
midi_out.send_message([0x90, note, 100]) # Note on
# set sensor led ON
wiringpi2.digitalWrite(sensor['led'], HIGH)
elif ( value != sensor['last_value'] ):
#if (sensor['note'][BANK-1] != 0):
print("############ %s" % sensor['name'])
if (sensor['type'] == BANK_SELECT):
note = sensor['note'][BANK-1]
elif (sensor['type'] == RANDOM):
# stuff for ramdom type
note = note
elif (sensor['type'] == SEQUENTIAL):
# stuff for sequential sensor type
note = sensor['note'][sensor['seq_next']]
print ('Send Note OFF: %d' % note)
midi_out.send_message([0x80, note, 100]) # Note off
# set sensor led Off
wiringpi2.digitalWrite(sensor['led'], LOW)
sensor['last_value'] = value
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openpype/hosts/houdini/vendor/husdoutputprocessors/stagingdir_processor.py | jonclothcat/OpenPype | 87 | 45073 | import hou
import husdoutputprocessors.base as base
import os
class StagingDirOutputProcessor(base.OutputProcessorBase):
"""Output all USD Rop file nodes into the Staging Directory
Ignore any folders and paths set in the Configured Layers
and USD Rop node, just take the filename and save into a
single directory.
"""
theParameters = None
parameter_prefix = "stagingdiroutputprocessor_"
stagingdir_parm_name = parameter_prefix + "stagingDir"
def __init__(self):
self.staging_dir = None
def displayName(self):
return 'StagingDir Output Processor'
def parameters(self):
if not self.theParameters:
parameters = hou.ParmTemplateGroup()
rootdirparm = hou.StringParmTemplate(
self.stagingdir_parm_name,
'Staging Directory', 1,
string_type=hou.stringParmType.FileReference,
file_type=hou.fileType.Directory
)
parameters.append(rootdirparm)
self.theParameters = parameters.asDialogScript()
return self.theParameters
def beginSave(self, config_node, t):
# Use the Root Directory parameter if it is set.
root_dir_parm = config_node.parm(self.stagingdir_parm_name)
if root_dir_parm:
self.staging_dir = root_dir_parm.evalAtTime(t)
if not self.staging_dir:
out_file_parm = config_node.parm('lopoutput')
if out_file_parm:
self.staging_dir = out_file_parm.evalAtTime(t)
if self.staging_dir:
(self.staging_dir, filename) = os.path.split(self.staging_dir)
def endSave(self):
self.staging_dir = None
def processAsset(self, asset_path,
asset_path_for_save,
referencing_layer_path,
asset_is_layer,
for_save):
"""
Args:
asset_path (str): The incoming file path you want to alter or not.
asset_path_for_save (bool): Whether the current path is a
referenced path in the USD file. When True, return the path
you want inside USD file.
referencing_layer_path (str): ???
asset_is_layer (bool): Whether this asset is a USD layer file.
If this is False, the asset is something else (for example,
a texture or volume file).
for_save (bool): Whether the asset path is for a file to be saved
out. If so, then return actual written filepath.
Returns:
The refactored asset path.
"""
# Treat save paths as being relative to the output path.
if for_save and self.staging_dir:
# Whenever we're processing a Save Path make sure to
# resolve it to the Staging Directory
filename = os.path.basename(asset_path)
return os.path.join(self.staging_dir, filename)
return asset_path
output_processor = StagingDirOutputProcessor()
def usdOutputProcessor():
return output_processor
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ufora/FORA/python/PurePython/FunctionTestCases.py | ufora/ufora | 571 | 1615394 | <filename>ufora/FORA/python/PurePython/FunctionTestCases.py
# Copyright 2015 Ufora 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, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pyfora.pyAst.PyAstUtil as PyAstUtil
class FunctionTestCases(object):
"""Test cases for pyfora functions"""
def test_nested_function_arguments(self):
def c(v1, v2):
return v1 + v2
def b(v, f):
return f(v, 8)
def a(v):
return b(v, c)
self.equivalentEvaluationTest(a, 10)
def test_default_arguments_1(self):
def f(a=None):
return a
self.equivalentEvaluationTest(f, 0)
self.equivalentEvaluationTest(f, None)
self.equivalentEvaluationTest(f, -3.3)
self.equivalentEvaluationTest(f, "testing")
def test_default_arguments_2(self):
def f(a, b=1, c=None):
return (a, b, c)
self.equivalentEvaluationTest(f, 0, None)
self.equivalentEvaluationTest(f, None, 2)
self.equivalentEvaluationTest(f, None, "test")
self.equivalentEvaluationTest(f, -3.3)
self.equivalentEvaluationTest(f, "test", "test")
def test_define_function(self):
def f(x):
return x+1
arg = 4
with self.create_executor() as executor:
f_proxy = executor.define(f).result()
arg_proxy = executor.define(arg).result()
res_proxy = f_proxy(arg_proxy).result()
self.assertEqual(res_proxy.toLocal().result(), 5)
def test_returnFunctions(self):
y = 2
def toReturn(x):
return x * y
def f():
return toReturn
shouldBeToReturn = self.evaluateWithExecutor(f)
self.assertEqual(shouldBeToReturn(10), toReturn(10))
self.assertEqual(str(shouldBeToReturn.__name__), str(toReturn.__name__))
self.assertEqual(
PyAstUtil.getSourceText(shouldBeToReturn), PyAstUtil.getSourceText(toReturn)
)
def test_define_complicated_function(self):
with self.create_executor() as executor:
y = 1
z = 2
w = 3
def h(x):
return w + 2 * x
def f(x):
if x < 0:
return x
return y + g(x - 1) + h(x)
def g(x):
if x < 0:
return x
return z * f(x - 1) + h(x - 1)
arg = 4
res_proxy = executor.submit(f, arg).result()
self.assertEqual(res_proxy.toLocal().result(), f(arg))
def test_run_off_end_of_function_returns_None(self):
with self.create_executor() as executor:
def f():
x = 10
self.assertIs(self.evaluateWithExecutor(f), None)
def test_empty_return_returns_None(self):
with self.create_executor() as executor:
def f():
return
self.assertIs(self.evaluateWithExecutor(f), None)
def test_free_function_is_pyfora_object(self):
def g():
return 10
def f():
return g.__is_pyfora__
self.assertIs(self.evaluateWithExecutor(f), True)
def test_local_function_is_pyfora_object(self):
def f():
def g():
pass
return g.__is_pyfora__
self.assertIs(self.evaluateWithExecutor(f), True)
def test_functions_1(self):
def f(x):
return x + 1
for ix in range(3):
self.equivalentEvaluationTest(f, ix)
def test_functions_2(self):
y = 3
def f(x):
return x + y
for ix in range(3):
self.equivalentEvaluationTest(f, ix)
def test_functions_4(self):
def f(x):
if x < 0:
return x
return x + g(x - 1)
def g(x):
if x < 0:
return x
return x * f(x - 1)
for ix in range(10):
self.equivalentEvaluationTest(f, ix)
def test_functions_mutual_recursion_across_modules(self):
import ufora.FORA.python.PurePython.testModules.MutualRecursionAcrossModules.A as A
for ix in range(4):
self.equivalentEvaluationTest(A.f, ix)
def test_functions_5(self):
def f(x):
def g():
return 1 + x
return g()
for ix in range(-3,0):
self.equivalentEvaluationTest(f, ix)
def test_functions_7(self):
w = 3
def h(x):
return w + 2 * x
def f(x):
if x < 0:
return x
return g(x - 1) + h(x)
def g(x):
if x < 0:
return x
return f(x - 1) + h(x - 1)
for ix in range(10):
self.equivalentEvaluationTest(f, ix)
def test_functions_8(self):
y = 1
z = 2
w = 3
def h(x):
return w + 2 * x
def f(x):
if x < 0:
return x
return y + g(x - 1) + h(x)
def g(x):
if x < 0:
return x
return z * f(x - 1) + h(x - 1)
for ix in range(10):
self.equivalentEvaluationTest(f, ix)
def test_functions_9(self):
y = 2
def h(x, fn):
if x < 0:
return x
return x + y * fn(x - 1)
def f(x):
def g(arg):
if arg < 0:
return x + arg
return x * h(arg - 1, g)
return g
for ix in range(10):
self.equivalentEvaluationTest(f(2), ix)
def test_functions_10(self):
y = 3
def f(x):
if x <= 0:
return x
return x + g(x - 1)
def g(x):
if x <= 0:
return x
return y + f(x - 2) + h(x - 3)
def h(x):
return x + 1
arg = 10
self.equivalentEvaluationTest(f, arg)
self.equivalentEvaluationTest(g, arg)
self.equivalentEvaluationTest(h, arg)
def test_inlineFunction(self):
def inlineFunction(x):
def z(y):
return x+y
return z(10)
for ix in range(4):
self.equivalentEvaluationTest(inlineFunction, ix)
def test_lambdaFunction(self):
def lambdaFunction(x):
z = lambda y: x + y
return z(10)
for ix in range(4):
self.equivalentEvaluationTest(lambdaFunction, ix)
def test_isPrime(self):
def isPrime(p):
x = 2
while x * x <= p:
if p % x == 0:
return 0
x = x + 1
return 0
for ix in range(10):
self.equivalentEvaluationTest(isPrime, ix)
def test_recursiveFunctions_1(self):
def fact(n):
if n == 0:
return 1
return n * fact(n - 1)
for ix in range(5):
self.equivalentEvaluationTest(fact, ix)
def test_recursiveFunctions_2(self):
def fib(n):
if n <= 1:
return n
return fib(n - 1) + fib(n - 2)
for ix in range(5):
self.equivalentEvaluationTest(fib, ix)
def test_functionsWithTheSameName(self):
# inspect, from the python std library, which we use,
# does the right thing for functions.
# the corresponding test for classes fails
def f1():
def f():
return 1
return f
def f2():
def f():
return -1
return f
self.equivalentEvaluationTest(f1())
self.equivalentEvaluationTest(f2())
def test_mutual_recursion(self):
def f(n):
if n < 0:
return n
return g(n - 1)
def g(n):
if n < -1:
return n
return f(n - 2)
self.equivalentEvaluationTest(f, 4)
def test_convert_lambda_external(self):
g = lambda: 10
def f():
return g()
self.equivalentEvaluationTest(f)
def test_convert_lambda_internal(self):
def f():
g = lambda: 10
return g()
self.equivalentEvaluationTest(f)
def test_evaluate_lambda_directly(self):
self.equivalentEvaluationTest(lambda x,y: x+y, 10, 20)
def test_return_lambda(self):
def f():
return lambda: 10
self.assertEqual(self.evaluateWithExecutor(f)(), 10)
def test_member_access(self):
def g():
return 10
def f():
return g().__str__()
self.equivalentEvaluationTest(f)
def test_loopsum(self):
def loopSum(x):
y = 0
while x > 0:
y = y + x
x = x - 1
return y
for ix in range(3):
self.equivalentEvaluationTest(loopSum, ix)
def test_new_calling_convention_1(self):
def f(x):
return x + 1
with self.create_executor() as ufora:
with ufora.remotely.downloadAll():
res = f(2)
self.assertEqual(res, 3)
def test_new_calling_convention_2(self):
def f(x):
return x + 1
with self.create_executor() as ufora:
with ufora.remotely.downloadAll():
res = f(x=2)
self.assertEqual(res, 3)
def test_new_calling_convention_3(self):
def f(x, y, z):
return (x, y, z)
with self.create_executor() as ufora:
with ufora.remotely.downloadAll():
res = f(z=1, y=2, x=3)
self.assertEqual(res, (3,2,1))
def test_new_calling_convention_4(self):
def f(x, y, z):
return (x, y, z)
with self.create_executor() as ufora:
with ufora.remotely.downloadAll():
res = f(3, z=1, y=2)
self.assertEqual(res, (3,2,1))
def test_new_calling_convention_5(self):
def f(x, y, z=1):
return (x, y, z)
with self.create_executor() as ufora:
with ufora.remotely.downloadAll():
res = f(y=2, x=3)
self.assertEqual(res, (3,2,1))
def test_new_calling_convention_6(self):
def f(x, (y, z)):
return (x, y, z)
with self.create_executor() as ufora:
with ufora.remotely.downloadAll():
res = f(3, (2, 1))
self.assertEqual(res, (3,2,1))
def test_new_calling_convention_7(self):
def f(x, y):
return x + y
def h():
return f(y=3,x=1)
self.equivalentEvaluationTest(h)
def test_new_calling_convention_8(self):
def f(x, y=1):
return x + y
def h():
return f(y=3,x=1)
self.equivalentEvaluationTest(h)
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] |
tests/test_cmake_parser.py | RichardRohac/bdemeta | 0 | 134003 | # tests.test_cmake_parser
from io import StringIO
from unittest import TestCase
from tests.cmake_parser import lex, find_command, parse_if, parse
def mk_cmd(command, *args):
return (command, list(args))
def call_parse_if(predicate, *cmds):
return parse_if(predicate, iter(cmds))
def call_parse(*cmds):
return parse(iter(cmds))
class TestLex(TestCase):
def test_nested_command_error(self):
text = StringIO("if(if())")
with self.assertRaises(RuntimeError):
list(lex(text)) # consume the generator
def test_unmatched_close_paren_error(self):
text = StringIO("if)")
with self.assertRaises(RuntimeError):
list(lex(text)) # consume the generator
class TestFindCommand(TestCase):
def test_command_not_found_error(self):
text = StringIO("if()")
commands = lex(text)
with self.assertRaises(LookupError):
find_command(commands, "add_library")
def test_ambiguous_command_error(self):
text = StringIO("if()\nif()")
commands = lex(text)
with self.assertRaises(RuntimeError):
find_command(commands, "if")
class TestParseIf(TestCase):
def test_empty_if(self):
node = call_parse_if('check', mk_cmd('endif'))
assert(('check', [], []) == node)
def test_one_command(self):
add_lib = mk_cmd('add_library')
node = call_parse_if('check', add_lib, mk_cmd('endif'))
assert(('check', [add_lib], []) == node)
def test_empty_with_empty_else(self):
node = call_parse_if('check', mk_cmd('else'), mk_cmd('endif'))
assert(('check', [], []) == node)
def test_if_else(self):
add_lib = mk_cmd('add_library')
add_exe = mk_cmd('add_executable')
node = call_parse_if('check',
add_lib,
mk_cmd('else'),
add_exe,
mk_cmd('endif'))
assert(('check', [add_lib], [add_exe]) == node)
def test_nested_if(self):
foo = mk_cmd('foo')
bar = mk_cmd('bar')
bam = mk_cmd('bam')
baz = mk_cmd('baz')
node = call_parse_if('check',
foo,
mk_cmd('if'),
bar,
mk_cmd('else'),
bam,
mk_cmd('endif'),
baz,
mk_cmd('endif'))
assert(('check', [foo, ([], [bar], [bam]), baz], []) == node)
def test_unmatched_endif_error(self):
with self.assertRaises(RuntimeError):
call_parse_if('check', mk_cmd('add_library'))
class TestParse(TestCase):
def test_empty(self):
node = call_parse()
assert([] == node)
def test_one_non_if_command(self):
add_lib = mk_cmd('add_library')
node = call_parse(add_lib)
assert([add_lib] == node)
def test_two_non_if_commands(self):
add_lib = mk_cmd('add_library')
add_exe = mk_cmd('add_executable')
node = call_parse(add_lib, add_exe)
assert([add_lib, add_exe] == node)
def test_command_with_if(self):
add_lib = mk_cmd('add_library')
add_exe = mk_cmd('add_executable')
node = call_parse(add_lib,
mk_cmd('if', 'c'),
add_exe,
mk_cmd('endif'))
assert([add_lib, (['c'], [add_exe], [])] == node)
def test_command_with_if_else(self):
add_lib = mk_cmd('add_library')
add_exe = mk_cmd('add_executable')
include = mk_cmd('include')
node = call_parse(add_lib,
mk_cmd('if', 'c'),
add_exe,
mk_cmd('else'),
include,
mk_cmd('endif'))
assert([add_lib, (['c'], [add_exe], [include])] == node)
| [
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2314,
29962,
1275,
2943,
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13,
13,
2
] |
Programmers/Lv.1/Lotto_best_worst.py | kangjunseo/C- | 2 | 69655 | def solution(lottos, win_nums):
answer = []
zeros=0
for i in lottos:
if(i==0) : zeros+=1
correct = list(set(lottos).intersection(set(win_nums)))
_dict = {6:1,5:2,4:3,3:4,2:5,1:6,0:6}
answer.append(_dict[len(correct)+zeros])
answer.append(_dict[len(correct)])
return answer
| [
1,
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29880,
1501,
359,
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5401,
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2314,
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13,
268,
13,
2
] |
NoChannelBot/core/models/user.py | tolbiluha/NoChannelBot | 7 | 196654 | from typing import Optional
from pydantic import BaseModel
class UserModel(BaseModel):
id: int
first_name: str
last_name: Optional[str]
username: Optional[str]
language_code: Optional[str]
| [
1,
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] |
0063.unqiue_paths_II/solution.py | WZMJ/Algorithms | 5 | 163074 | from typing import List
class Solution:
def unique_paths_with_obstacle(self, obstacle_grid: List[List[int]]) -> int:
"""
二维数组 关键点在于 obstacle_grid[i][j] = obstacle_grid[i-1][j] + obstacle_grid[i][j-1]
如果遇到障碍1，后续都为0
"""
if obstacle_grid[0][0]: # 出发点是障碍
return 0
down = len(obstacle_grid)
right = len(obstacle_grid[0])
obstacle_grid[0][0] = 1
# 判断第一行的情况
for i in range(1, right):
obstacle_grid[0][i] = obstacle_grid[0][i - 1] if obstacle_grid[0][i] == 0 else 0
# 判断第一列的情况
for i in range(1, down):
obstacle_grid[i][0] = obstacle_grid[i - 1][0] if obstacle_grid[i][0] == 0 else 0
# 从(1,1)开始将上和左的次数相加
for i in range(1, down):
for j in range(1, right):
if obstacle_grid[i][j] == 1:
obstacle_grid[i][j] = 0
else:
obstacle_grid[i][j] = obstacle_grid[i][j - 1] + obstacle_grid[i - 1][j]
return obstacle_grid[down - 1][right - 1]
if __name__ == "__main__":
grid = [[0, 0, 0], [0, 1, 0], [0, 0, 0]]
assert Solution().unique_paths_with_obstacle(grid) == 2
grid = [[0, 0, 0, 1], [0, 1, 0, 0], [0, 0, 0, 0]]
assert Solution().unique_paths_with_obstacle(grid) == 3
| [
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] |
blog/migrations/0007_articlephotoreport_main.py | gda2048/thefirst | 5 | 69947 | # Generated by Django 2.2.3 on 2019-07-24 10:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0006_auto_20190723_1502'),
]
operations = [
migrations.AddField(
model_name='articlephotoreport',
name='main',
field=models.BooleanField(default=False, help_text='Если отмечено несколько картинок, то выбирается любая',
verbose_name='Отображать в preview'),
),
]
| [
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] |
examples/evaluate_sequence_labelling.py | CLARIN-PL/embeddings | 33 | 61697 | import pprint
from pathlib import Path
from typing import Optional
import typer
from embeddings.defaults import RESULTS_PATH
from embeddings.evaluator.sequence_labeling_evaluator import SequenceLabelingEvaluator
from embeddings.pipeline.flair_sequence_labeling import FlairSequenceLabelingPipeline
app = typer.Typer()
def run(
embedding_name: str = typer.Option(
"allegro/herbert-base-cased", help="Hugging Face embedding model name or path."
),
dataset_name: str = typer.Option(
"clarin-pl/kpwr-ner", help="Hugging Face dataset name or path."
),
input_column_name: str = typer.Option(
"tokens", help="Column name that contains text to classify."
),
target_column_name: str = typer.Option(
"ner", help="Column name that contains tag labels for POS tagging."
),
root: str = typer.Option(RESULTS_PATH.joinpath("pos_tagging")),
hidden_size: int = typer.Option(256, help="Number of hidden states in RNN."),
evaluation_mode: SequenceLabelingEvaluator.EvaluationMode = typer.Option(
SequenceLabelingEvaluator.EvaluationMode.CONLL,
help="Evaluation mode. Supported modes: [unit, conll, strict].",
),
tagging_scheme: Optional[SequenceLabelingEvaluator.TaggingScheme] = typer.Option(
None, help="Tagging scheme. Supported schemes: [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU]"
),
) -> None:
typer.echo(pprint.pformat(locals()))
output_path = Path(root, embedding_name, dataset_name)
output_path.mkdir(parents=True, exist_ok=True)
pipeline = FlairSequenceLabelingPipeline(
embedding_name,
dataset_name,
input_column_name,
target_column_name,
output_path,
hidden_size,
evaluation_mode,
tagging_scheme,
)
result = pipeline.run()
typer.echo(pprint.pformat(result))
typer.run(run)
| [
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] |
src/bot.py | Teazane/NewCthulhuBot | 0 | 1603570 | <reponame>Teazane/NewCthulhuBot<filename>src/bot.py
import discord, random, time
from src.reactions import Reactions
class Bot(discord.Client):
# Explication du mécanisme asynchrone Python : https://stackabuse.com/python-async-await-tutorial/
async def on_ready(self):
"""
Log un message quand le bot est prêt.
"""
print("Cthulhu bot is now ready as " + str(self.user))
async def on_connect(self):
"""
Log un message quand le bot est connecté.
"""
print("Cthulhu bot is now connected as " + str(self.user))
print("Cthulhu has access to the following servers:")
for guild in self.guilds:
print("> " + str(guild.name) + "(" + str(guild.id) + ") containing channels: ")
for chan in guild.text_channels:
print("\t - " + chan.name)
async def on_message(self, message):
"""
Traite un message quand le bot en reçoit un.
"""
# Si l'auteur est un bot, on ne répond pas
if message.author.bot:
return
else:
print("The bot has received a message from " + message.author.name + ": " + message.content)
reactions = Reactions()
you_are_taunt = random.randint(0,50)
if you_are_taunt == 0:
await message.channel.send(reactions.toi_meme_repeat(message.content))
else:
response_msg = reactions.search_key_word(message.content)
if response_msg is not None:
await message.channel.send(reactions.search_key_word(message.content))
else:
pass
async def on_disconnect(self):
"""
Log un message quand le bot se déconnecte.
"""
print("Cthulhu bot has been disconnected") | [
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neko3/pagination/factory/basefactory.py | Natsurii/nicabot-monkee | 0 | 179867 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Nekozilla is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Nekozilla is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Nekozilla. If not, see <https://www.gnu.org/licenses/>.
"""
Base factory ABC.
"""
__all__ = ("BaseFactory",)
import abc
class BaseFactory(abc.ABC):
"""Base class for a factory."""
pass
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interface.py | MichaelWilly15/OrganizadorDeProjetos | 0 | 78157 | from time import sleep
def lin(tam=42):
print('-' * tam)
def cabecalho(msg):
lin()
print(msg)
lin()
def limpa_tela():
from sys import platform
from os import system
if platform == 'win32':
system('cls')
else:
system('clear')
def leiaint(txt):
try:
num = int(input(txt))
except ValueError:
print('\033[31;1mSó aceitamos inteiros!\033[m')
sleep(1.5)
limpa_tela()
return None
else:
return num
def carrega(msg, salto):
print(msg, end='', flush=True)
sleep(salto)
print('.', end='', flush=True)
sleep(salto)
print('.', end='', flush=True)
sleep(salto)
print('.')
sleep(salto)
def menu(*itens, titulo_menu):
while True:
cabecalho(titulo_menu)
for idx, item in enumerate(itens):
print(f'\033[33;1m {idx + 1} \033[m - \033[34;1m {item} \033[m')
lin()
opcao = leiaint('\033[34;1mSua opção: \033[m')
if opcao:
return opcao
def confirma_opcao(msg):
while True:
pergunta = str(input(msg)).lower().lstrip()[0]
if pergunta in 'sn':
return pergunta
else:
print('\033[31;1mResposta inválida\033[m')
sleep(1)
limpa_tela() | [
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13,
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29898,
29896,
29897,
13,
13,
9651,
2485,
3274,
29918,
29873,
3100,
580,
2
] |
sample_problems/problems_with_solution21.py | adi01trip01/adi_workspace | 0 | 138034 | <gh_stars>0
# Write a Python program to find whether a given number (accept from the user) is even or odd,
# prints True if its even and False if its odd.
n = int(input("Enter a number: "))
print(n % 2 == 0)
| [
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resume/api/urls.py | jamedadi/jobnet | 3 | 50780 | <reponame>jamedadi/jobnet
from django.urls import path, include
from rest_framework import routers
from resume.api.views import ResumeModelViewSetApi
app_name = 'resume'
router = routers.SimpleRouter()
router.register('', ResumeModelViewSetApi)
urlpatterns = [
path('', include(router.urls)),
]
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26045,
8243,
13,
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13,
2
] |
gui/capture.py | mokojm/townshell | 34 | 114011 | <gh_stars>10-100
from os import getcwd
from kivy.app import App
from kivy.factory import Factory
from kivy.lang import Builder
from kivy.uix.screenmanager import Screen
Builder.load_file(r"gui\capture.kv")
class CaptureScreen(Screen):
def __init__(self, **kwargs):
self.util = App.get_running_app().util
super(CaptureScreen, self).__init__(**kwargs)
def durShowcasable(self, *args):
duration = int(self.box_dur.dur.value)
pixels = int(self.box_dist.dist.value)
answer = self.util.isShowcasable(pixels, duration, 'duration')
if answer is True:
pass
else:
myPopUp = Factory.NotifPopUp()
myPopUp.title = "Capture"
myPopUp.level = "ERROR"
myPopUp.mytext = answer
myPopUp.open()
def disShowcasable(self, *args):
duration = int(self.box_dur.dur.value)
pixels = int(self.box_dist.dist.value)
answer = self.util.isShowcasable(pixels, duration, 'distance')
if answer is True:
pass
else:
myPopUp = Factory.NotifPopUp()
myPopUp.title = "Capture"
myPopUp.level = "ERROR"
myPopUp.mytext = answer
myPopUp.open()
def reset(self):
self.box_fps.fps.value = 30
self.box_butt.butt.text = self.box_butt.butt.values[0]
self.box_dur.dur.value = 5
self.box_dist.dist.value = 500
self.box_ang.ang.value = 0
self.box_ryt.ryth.text = self.box_ryt.ryth.values[0]
self.box_spos.spos.text = self.box_spos.spos.values[0]
def capture(self, dryrun=False):
target_fps = int(self.box_fps.fps.value)
settings = {
"fps": target_fps,
"button": self.box_butt.butt.text,
"duration": int(self.box_dur.dur.value),
"pixels": int(self.box_dist.dist.value),
"angle": int(self.box_ang.ang.value),
"rythm": self.box_ryt.ryth.text,
"start": self.box_spos.spos.text,
"dirname": getcwd(), # temporary
"cqueue": self.util.captureQueue,
"mqueue": self.util.mainQueue,
"synchro": self.util.synchro,
"dryrun": dryrun,
}
# Call the capture method of self.util
answer = self.util.capture(**settings)
if dryrun:
if answer is True:
level = "INFO"
mytext = "Move successfully performed"
else:
level = "ERROR"
mytext = answer
else:
# Good FPS
if isinstance(answer, int) and abs(answer - target_fps) < 5:
level = "INFO"
mytext = f"File created. Good FPS : {answer}"
# Unexpected FPS
elif isinstance(answer, int):
level = "WARNING"
mytext = f"File Created. Unexpected FPS : {answer}"
# Error during process
else:
level = "ERROR"
mytext = f"Something went wrong : {answer}"
myPopUp = Factory.NotifPopUp()
myPopUp.title = "Capture"
myPopUp.level = level
myPopUp.mytext = mytext
myPopUp.open()
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] |
openmdao.lib/src/openmdao/lib/drivers/cobyladriver.py | mjfwest/OpenMDAO-Framework | 69 | 75752 | """
cobyladriver.py - Contains a driver that wraps the cobyla
optimizer as used in pyOpt:
Minimize a function using the Constrained Optimization BY Linear
Approximation (COBYLA) method.
COBYLA is gradient-free and can handle inequality constraints.
"""
from math import isnan
from numpy import zeros, array, hstack
from cobyla.cobyla import cobyla, closeunit
from openmdao.main.datatypes.api import Enum, Float, Int, Str
from openmdao.main.driver import Driver
from openmdao.main.hasparameters import HasParameters
from openmdao.main.hasconstraints import HasIneqConstraints
from openmdao.main.hasobjective import HasObjective
from openmdao.main.interfaces import IHasParameters, IHasIneqConstraints, \
IHasObjective, implements, IOptimizer
from openmdao.util.decorators import add_delegate
@add_delegate(HasParameters, HasIneqConstraints, HasObjective)
class COBYLAdriver(Driver):
"""Minimize a function using the Constrained Optimization BY Linear
Approximation (COBYLA) method.
COBYLA is gradient-free and can handle inequality constraints.
Note: Constraints should be added using the OpenMDAO convention
(positive = violated).
"""
implements(IHasParameters, IHasIneqConstraints, IHasObjective, IOptimizer)
# pylint: disable-msg=E1101
rhobeg = Float(1.0, iotype='in',
desc='Reasonable initial changes to the variables.')
rhoend = Float(1e-4, iotype='in',
desc='Final accuracy in the optimization'
' (not precisely guaranteed).')
iprint = Enum(1, [0, 1, 2, 3], iotype='in',
desc='Controls the frequency of output: 0 (no output),1,2,3.')
maxfun = Int(1000, iotype='in',
desc='Maximum number of function evaluations.')
iout = Int(6, iotype='in',
desc='Fortran output unit. Leave this at 6 for STDOUT.')
output_filename = Str('cobyla.out', iotype='in',
desc='Name of output file (if iout not 6).')
error_code = Int(0, iotype='out',
desc='Error code returned from COBYLA.')
def __init__(self):
super(COBYLAdriver, self).__init__()
self.error_messages = {
1 : 'Max. number of function evaluations reached',
2 : 'Rounding errors are becoming damaging'
}
self.x = zeros(0, 'd')
self.work_vector = zeros(0, 'd')
self.gg = zeros(0, 'd')
self.iact = zeros(0, 'd')
self.g = zeros(0, 'd')
self.ff = 0
self.nfvals = 0
self.nparam = 0
self.ncon = 0
self.upper = None
self.lower = None
self._continue = None
def start_iteration(self):
"""Perform initial setup before iteration loop begins."""
# Inital run to make sure the workflow executes
super(COBYLAdriver, self).run_iteration()
self.nparam = self.total_parameters()
self.ncon = self.total_ineq_constraints()
self.ncon += 2*self.nparam
self.g = zeros(self.ncon, 'd')
self.work_vector = zeros(self.ncon, 'd')
# get the initial values of the parameters
self.x = self.eval_parameters(self.parent)
self.upper = self.get_upper_bounds()
self.lower = self.get_lower_bounds()
n = self.nparam
m = self.ncon
self.work_vector = zeros([n*(3*n+2*m+11)+4*m+6], 'd')
self.iact = zeros([m+1], 'i')
self.gg = zeros([m], 'd')
self._continue = True
def run_iteration(self):
""" Note: cobyla controls the looping."""
try:
self.iact, self.error_code, self.nfvals = \
cobyla(self._func, self.nparam, self.ncon, self.x,
self.rhobeg, self.rhoend, self.iprint, self.maxfun,
self.work_vector, self.iact, self.error_code, self.nfvals,
self.iout, self.output_filename, self.ff, self.gg)
except Exception as err:
self._logger.error(str(err))
raise
if self.iprint > 0:
closeunit(self.iout)
# Log any errors
if self.error_code != 0:
self._logger.warning(self.error_messages[self.error_code])
# Iteration is complete
self._continue = False
def _func(self, n, m, xnew, f, g):
""" Return ndarrays containing the function and constraint
evaluations.
Note: n, m, f, and g are unused inputs."""
self.set_parameters(xnew)
super(COBYLAdriver, self).run_iteration()
f = self.eval_objective()
if isnan(f):
msg = "Numerical overflow in the objective"
self.raise_exception(msg, RuntimeError)
# Constraints (COBYLA defines positive as satisfied)
cons = -1. * array(self.eval_ineq_constraints())
# Side Constraints
vals = self.eval_parameters(self.parent)
g = hstack([cons, (vals - self.lower), (self.upper - vals)])
return f, g
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] |
main.py | basakstuff/PI_Works | 0 | 173264 | <filename>main.py
def isPrime(number):
if number > 1:
for i in range(2, number):
if (number % i) == 0:
return False
else:
return True
else:
return False
inputFile = open('test.txt')
lines = inputFile.readlines()
inputFile.close()
pyramid = []
for i in lines:
print(i)
for line in lines:
pyramid.append(line.split())
for i in range(0,len(pyramid)):
for j in range(0,len(pyramid[i])):
pyramid[i][j] = int(pyramid[i][j])
for i in range(len(pyramid)-2, -1, -1):
for j in range(0, len(pyramid[i])):
if isPrime(pyramid[i][j]) == False:
pyramid[i][j] += max(pyramid[i+1][j], pyramid[i+1][j+1])
print('\nThe maximum sum of the numbers is',max(pyramid)[0]) | [
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ppr-api/tests/unit/api/test_change.py | thorwolpert/ppr | 0 | 173228 | # Copyright © 2019 Province of British Columbia
#
# 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, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests to verify the financing-statement changes endpoint.
Test-Suite to ensure that the /financing-statement/registrationNum/changes endpoint is working as expected.
"""
import copy
from http import HTTPStatus
import pytest
from registry_schemas.example_data.ppr import CHANGE_STATEMENT
from ppr_api.services.authz import COLIN_ROLE, PPR_ROLE, STAFF_ROLE, SBC_OFFICE, BCOL_HELP
from tests.unit.services.utils import create_header, create_header_account, create_header_account_report
MOCK_PAY_URL = 'https://bcregistry-bcregistry-mock.apigee.net/mockTarget/pay/api/v1/'
# prep sample post change statement data
SAMPLE_JSON = copy.deepcopy(CHANGE_STATEMENT)
STATEMENT_VALID = {
'baseRegistrationNumber': 'TEST0001',
'debtorName': {
'businessName': 'TEST BUS 2 DEBTOR'
},
'authorizationReceived': True,
'registeringParty': {
'businessName': 'ABC SEARCHING COMPANY',
'address': {
'street': '222 SUMMER STREET',
'city': 'VICTORIA',
'region': 'BC',
'country': 'CA',
'postalCode': 'V8W 2V8'
},
'emailAddress': '<EMAIL>'
},
'changeType': 'AC',
'addVehicleCollateral': [
{
'type': 'MV',
'serialNumber': 'KM8J3CA46JU724994',
'year': 2018,
'make': 'HYUNDAI',
'model': 'TUCSON'
}
],
'payment': {
'receipt': '/pay/api/v1/payment-requests/2199700/receipts',
'invoiceId': '2199700'
}
}
INVALID_REG_NUM = {
'baseRegistrationNumber': 'TESTXXX1',
'debtorName': {
'businessName': 'TEST BUS 2 DEBTOR'
},
'authorizationReceived': True,
'registeringParty': {
'businessName': 'ABC SEARCHING COMPANY',
'address': {
'street': '222 SUMMER STREET',
'city': 'VICTORIA',
'region': 'BC',
'country': 'CA',
'postalCode': 'V8W 2V8'
},
'emailAddress': '<EMAIL>'
},
'changeType': 'AC',
'addVehicleCollateral': [
{
'type': 'MV',
'serialNumber': 'KM8J3CA46JU724994',
'year': 2018,
'make': 'HYUNDAI',
'model': 'TUCSON'
}
]
}
MISSING_BASE_DEBTOR = {
'baseRegistrationNumber': 'TEST0001',
'authorizationReceived': True,
'registeringParty': {
'businessName': 'ABC SEARCHING COMPANY',
'address': {
'street': '222 SUMMER STREET',
'city': 'VICTORIA',
'region': 'BC',
'country': 'CA',
'postalCode': 'V8W 2V8'
},
'emailAddress': '<EMAIL>'
},
'changeType': 'AC',
'addVehicleCollateral': [
{
'type': 'MV',
'serialNumber': 'KM8J3CA46JU724994',
'year': 2018,
'make': 'HYUNDAI',
'model': 'TUCSON'
}
]
}
INVALID_BASE_DEBTOR = {
'baseRegistrationNumber': 'TEST0001',
'debtorName': {
'businessName': 'TEXT BUS 3 DEBTOR'
},
'authorizationReceived': True,
'registeringParty': {
'businessName': 'ABC SEARCHING COMPANY',
'address': {
'street': '222 SUMMER STREET',
'city': 'VICTORIA',
'region': 'BC',
'country': 'CA',
'postalCode': 'V8W 2V8'
},
'emailAddress': '<EMAIL>'
},
'changeType': 'AC',
'addVehicleCollateral': [
{
'type': 'MV',
'serialNumber': 'KM8J3CA46JU724994',
'year': 2018,
'make': 'HYUNDAI',
'model': 'TUCSON'
}
]
}
INVALID_HISTORICAL = {
'baseRegistrationNumber': 'TEST0003',
'debtorName': {
'businessName': 'TEST BUS 2 DEBTOR'
},
'authorizationReceived': True,
'registeringParty': {
'businessName': 'ABC SEARCHING COMPANY',
'address': {
'street': '222 SUMMER STREET',
'city': 'VICTORIA',
'region': 'BC',
'country': 'CA',
'postalCode': 'V8W 2V8'
},
'emailAddress': '<EMAIL>'
},
'changeType': 'AC',
'addVehicleCollateral': [
{
'type': 'MV',
'serialNumber': 'KM8J3CA46JU724994',
'year': 2018,
'make': 'HYUNDAI',
'model': 'TUCSON'
}
]
}
INVALID_CODE = {
'baseRegistrationNumber': 'TEST0001',
'debtorName': {
'businessName': 'TEST BUS 2 DEBTOR'
},
'authorizationReceived': True,
'registeringParty': {
'code': '300000000'
},
'changeType': 'AC',
'addVehicleCollateral': [
{
'type': 'MV',
'serialNumber': 'KM8J3CA46JU724994',
'year': 2018,
'make': 'HYUNDAI',
'model': 'TUCSON'
}
]
}
INVALID_ADDRESS = {
'baseRegistrationNumber': 'TEST0001',
'debtorName': {
'businessName': 'TEST BUS 2 DEBTOR'
},
'authorizationReceived': True,
'registeringParty': {
'businessName': 'ABC SEARCHING COMPANY',
'address': {
'street': '222 SUMMER STREET',
'city': 'VICTORIA',
'region': 'XX',
'country': 'CA',
'postalCode': 'V8W 2V8'
},
'emailAddress': '<EMAIL>'
},
'changeType': 'AC',
'addVehicleCollateral': [
{
'type': 'MV',
'serialNumber': 'KM8J3CA46JU724994',
'year': 2018,
'make': 'HYUNDAI',
'model': 'TUCSON'
}
]
}
# testdata pattern is ({description}, {roles}, {status}, {has_account}, {reg_num}, {base_reg_num})
TEST_GET_STATEMENT = [
('Missing account', [PPR_ROLE], HTTPStatus.BAD_REQUEST, False, 'TEST0009', 'TEST0001'),
('Invalid role', [COLIN_ROLE], HTTPStatus.UNAUTHORIZED, True, 'TEST0009', 'TEST0001'),
('Valid Request', [PPR_ROLE], HTTPStatus.OK, True, 'TEST0009', 'TEST0001'),
('Invalid Registration Number', [PPR_ROLE], HTTPStatus.NOT_FOUND, True, 'TESTXXXX', 'TEST0001'),
('Mismatch registrations non-staff', [PPR_ROLE], HTTPStatus.BAD_REQUEST, True, 'TEST0009', 'TEST0002'),
('Mismatch registrations staff', [PPR_ROLE, STAFF_ROLE], HTTPStatus.OK, True, 'TEST0009', 'TEST0002'),
('Missing account staff', [PPR_ROLE, STAFF_ROLE], HTTPStatus.BAD_REQUEST, False, 'TEST0009', 'TEST0001')
]
@pytest.mark.parametrize('desc,roles,status,has_account,reg_num,base_reg_num', TEST_GET_STATEMENT)
def test_get_change(session, client, jwt, desc, roles, status, has_account, reg_num, base_reg_num):
"""Assert that a get change registration statement works as expected."""
headers = None
# setup
if status == HTTPStatus.UNAUTHORIZED and desc.startswith('Report'):
headers = create_header_account_report(jwt, roles)
elif has_account and BCOL_HELP in roles:
headers = create_header_account(jwt, roles, 'test-user', BCOL_HELP)
elif has_account and STAFF_ROLE in roles:
headers = create_header_account(jwt, roles, 'test-user', STAFF_ROLE)
elif has_account and SBC_OFFICE in roles:
headers = create_header_account(jwt, roles, 'test-user', SBC_OFFICE)
elif has_account:
headers = create_header_account(jwt, roles)
else:
headers = create_header(jwt, roles)
# test
response = client.get('/api/v1/financing-statements/' + base_reg_num + '/changes/' + reg_num,
headers=headers)
# check
assert response.status_code == status
# basic verification statement data check
if status == HTTPStatus.OK:
json_data = response.json
assert json_data['changeRegistrationNumber'] == reg_num
assert len(json_data['changes']) >= 1
assert json_data['changes'][0]['changeRegistrationNumber'] == reg_num
if desc != 'Mismatch registrations staff':
assert json_data['baseRegistrationNumber'] == base_reg_num
assert json_data['changes'][0]['baseRegistrationNumber'] == base_reg_num
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8306,
4557,
2033,
1275,
2967,
29918,
1727,
29918,
1949,
13,
2
] |
swappingFiles.py | anudhatgithub/Functions | 0 | 59100 | <gh_stars>0
def changecode():
file1=input("Enter your file name1")
file2=input("Enter your file name2")
with open(file1,"r") as a:
data_a = a.read()
with open(file2,"r") as b:
data_b = b.read()
with open(file1,"w") as a:
a.write(data_b)
with open(file2,"w") as b:
b.write(data_a)
changecode()
| [
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] |
plotly/validators/scatter/_mode.py | faezs/plotly.py | 2 | 136891 | import _plotly_utils.basevalidators
class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name='mode', parent_name='scatter', **kwargs):
super(ModeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type='calc',
extras=['none'],
flags=['lines', 'markers', 'text'],
role='info',
**kwargs
)
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] |
eden/cli/doctor/test/disk_usage_test.py | jmswen/eden | 0 | 178628 | #!/usr/bin/env python3
#
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import collections
import typing
from typing import List, Optional
from unittest.mock import patch
import eden.cli.doctor as doctor
from eden.cli.config import EdenInstance
from eden.cli.doctor.problem import ProblemBase, ProblemTracker
from eden.cli.doctor.test.lib.fake_eden_instance import FakeEdenInstance
from eden.cli.doctor.test.lib.testcase import DoctorTestBase
class DiskUsageTest(DoctorTestBase):
def _mock_disk_usage(self, blocks, avail, frsize=1024) -> None:
"""Mock test for disk usage."""
mock_statvfs_patcher = patch("eden.cli.doctor.os.statvfs")
mock_statvfs = mock_statvfs_patcher.start()
self.addCleanup(lambda: mock_statvfs.stop())
statvfs_tuple = collections.namedtuple("statvfs", "f_blocks f_bavail f_frsize")
mock_statvfs.return_value = statvfs_tuple(blocks, avail, frsize)
mock_getmountpt_and_deviceid_patcher = patch(
"eden.cli.doctor.check_filesystems.get_mountpt"
)
mock_getmountpt_and_deviceid = mock_getmountpt_and_deviceid_patcher.start()
self.addCleanup(lambda: mock_getmountpt_and_deviceid.stop())
mock_getmountpt_and_deviceid.return_value = "/"
def _check_disk_usage(
self, instance: Optional[FakeEdenInstance] = None
) -> List[ProblemBase]:
problem_collector = ProblemCollector()
if instance is None:
instance = FakeEdenInstance(self.make_temporary_directory())
doctor.check_filesystems.check_disk_usage(
tracker=problem_collector,
mount_paths=["/"],
instance=typing.cast(EdenInstance, instance),
)
return problem_collector.problems
def test_low_free_absolute_disk_is_major(self):
self._mock_disk_usage(blocks=100000000, avail=500000)
problems = self._check_disk_usage()
self.assertEqual(
problems[0].description(),
"/ has only 512000000 bytes available. "
"Eden lazily loads your files and needs enough disk "
"space to store these files when loaded.",
)
self.assertEqual(problems[0].severity(), doctor.ProblemSeverity.ERROR)
def test_low_percentage_free_but_high_absolute_free_disk_is_minor(self):
self._mock_disk_usage(blocks=100000000, avail=2000000)
problems = self._check_disk_usage()
self.assertEqual(
problems[0].description(),
"/ is 98.00% full. "
"Eden lazily loads your files and needs enough disk "
"space to store these files when loaded.",
)
self.assertEqual(problems[0].severity(), doctor.ProblemSeverity.ADVICE)
def test_high_percentage_free_but_small_disk_is_major(self):
self._mock_disk_usage(blocks=800000, avail=500000)
problems = self._check_disk_usage()
self.assertEqual(
problems[0].description(),
"/ has only 512000000 bytes available. "
"Eden lazily loads your files and needs enough disk "
"space to store these files when loaded.",
)
self.assertEqual(problems[0].severity(), doctor.ProblemSeverity.ERROR)
def test_disk_usage_normal(self):
self._mock_disk_usage(blocks=100000000, avail=50000000)
problems = self._check_disk_usage()
self.assertEqual(len(problems), 0)
def test_issue_includes_custom_message_from_config(self) -> None:
self._mock_disk_usage(blocks=100000000, avail=500000)
instance = FakeEdenInstance(
self.make_temporary_directory(),
config={
"doctor.low-disk-space-message": "Ask your administrator for help."
},
)
problems = self._check_disk_usage(instance=instance)
self.assertEqual(
problems[0].description(),
"/ has only 512000000 bytes available. "
"Eden lazily loads your files and needs enough disk "
"space to store these files when loaded. Ask your administrator "
"for help.",
)
self._mock_disk_usage(blocks=100000000, avail=2000000)
instance = FakeEdenInstance(
self.make_temporary_directory(),
config={
"doctor.low-disk-space-message": "Ask your administrator for help."
},
)
problems = self._check_disk_usage(instance=instance)
self.assertEqual(
problems[0].description(),
"/ is 98.00% full. "
"Eden lazily loads your files and needs enough disk "
"space to store these files when loaded. Ask your administrator "
"for help.",
)
class ProblemCollector(ProblemTracker):
problems: List[ProblemBase]
def __init__(self) -> None:
super().__init__()
self.problems = []
def add_problem(self, problem: ProblemBase) -> None:
self.problems.append(problem)
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] |
providers/brewerslab.py | allena29/brewerslabng | 1 | 170620 | #!/usr/bin/python3
import dataprovider
class brewerslab(dataprovider.DataProvider):
MODULE_NAME = "brewerslab"
DEBUG = True
def process_path(self, dry_run, xpath, oper, old_val, new_val):
print(xpath)
dp = brewerslab()
dp.connect()
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flaskr/services/file_to_db_service.py | baloo1379/db_aspell | 0 | 147808 | <reponame>baloo1379/db_aspell<filename>flaskr/services/file_to_db_service.py
import os
import re
from flaskr.models.file import createFile
from flaskr.models.word import createOrUpdateWord
class FileToDBService:
file_name = None
file_content = None
word_list = []
def setFileName(self, file_name):
self.file_name = file_name
def setFileContent(self, content):
self.file_content = content
def setWords(self):
if self.file_content is not None:
self.parseFileContent()
self.createDB()
def saveFromFile(self):
if self.file_name is not None:
self.readFile()
self.setWords()
self.removeFile()
def readFile(self):
file = open(self.file_name, "r")
self.file_content = file.read()
file.close()
def removeFile(self):
os.remove(self.file_name)
def parseFileContent(self):
self.word_list = re.sub(r'[^a-ząćęłńóśźżĄĆĘŁŃÓŚŹŻA-Z0-9\n ]', r'', self.file_content).split()
def createDB(self):
file = createFile(self.file_name)
for word in self.word_list:
if len(word) >= 2:
createOrUpdateWord(word=word, file=file)
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pdfreader/types/objects.py | tmcclintock/pdfreader | 0 | 38535 | <gh_stars>0
from ..utils import cached_property
from ..pillow import PILImageMixin
from .native import Stream, Dictionary, Array, Name
class StartXRef(object):
""" startxref
123
Pseudo object. Can be between indirect objects if any incremental updates.
"""
def __init__(self, offset):
self.offset = offset
def __repr__(self):
return "<StartXRef: {}>".format(self.offset)
def __eq__(self, other):
return self.offset == other.offset
class Trailer(object):
""" trailer
<<< ... .>>
endtrailer
Pseudo object. Can be between indirect objects if any incremental updates.
"""
def __init__(self, params):
self.params = params
def __repr__(self):
return "<Trailer: {}>".format(self.params)
def __eq__(self, other):
return self.params == other.params
class StreamBasedObject(Stream):
""" Stream-based object.
Automatically resolves indirect references on attributes access """
def __init__(self, doc, stream):
super(StreamBasedObject, self).__init__(stream.dictionary, stream.stream)
self.doc = doc
self._cache = dict()
@classmethod
def from_stream(cls, other):
obj = super(StreamBasedObject, StreamBasedObject).from_stream(other)
obj.doc = other.doc
def __getattr__(self, item):
if item in self._cache:
return self._cache[item]
obj = super(StreamBasedObject, self).__getattr__(item)
obj = self.doc.build(obj, lazy=True)
self._cache[item] = obj
return self._cache[item]
class ArrayBasedObject(Array):
""" Array-based object.
Automatically resolves indirect references on items access """
def __init__(self, doc, lst):
self.doc = doc
# ToDo: this must be lazier thing.
# Need to build objects only on access attempt only. For example: a.index, a[i], a[1:2] etc.
lst = [self.doc.build(obj, lazy=True) for obj in lst]
super(ArrayBasedObject, self).__init__(lst)
class DictBasedObject(Dictionary):
""" Dictionary-based object.
Automatically resolves indirect references on attributes/items access """
def __init__(self, doc, *args, **kwargs):
super(DictBasedObject, self).__init__(*args, **kwargs)
self.doc = doc
self._cache = dict()
def __getattr__(self, item):
return self.get(item)
def __getitem__(self, item):
if item in self._cache:
return self._cache[item]
obj = super(DictBasedObject, self).__getitem__(item)
obj = self.doc.build(obj, lazy=True)
self._cache[item] = obj
return self._cache[item]
def __delitem__(self, item): # real signature unknown
""" Delete self[key]. """
del self._cache[item]
def get(self, item, default=None):
try:
val = self[item]
except KeyError:
val = default
return val
# override defaults to build Dictionary values before returning
def keys(self):
return [k for k in super(DictBasedObject, self).keys()]
def values(self):
return [self[k] for k in super(DictBasedObject, self).keys()]
def items(self):
return [(k, self[k]) for k in super(DictBasedObject, self).keys()]
def pop(self, i, **kwargs):
if i in self:
res = self[i]
_ = super(DictBasedObject, self).pop(i)
else:
res = super(DictBasedObject, self).pop(i, **kwargs)
return res
def popitem(self):
if not self:
raise KeyError()
k = next(iter(super(DictBasedObject, self).keys()))
return k, self.pop(k)
def obj_factory(doc, obj):
klass = None
if isinstance(obj, Stream):
if obj.Type == 'XObject':
klass = XOBJECTS.get(obj.Subtype, XObject)
else:
klass = STREAM_BASED_OBJECTS.get(obj.Type, StreamBasedObject)
elif isinstance(obj, Dictionary):
klass = DICT_OBJECTS.get(obj.get('Type'), DictBasedObject)
elif isinstance(obj, list):
klass = ArrayBasedObject
return klass(doc, obj) if klass else obj
class ObjectStream(StreamBasedObject):
""" Type = ObjStm
"""
pass
class Catalog(DictBasedObject):
"""
Dictionary based object. (Type = Catalog)
See PDF 1.7 specification `sec. 7.7.2 - DocumentCatalog <https://www.adobe.com/content/dam/acom/en/devnet/pdf/pdfs/PDF32000_2008.pdf#page=71>`_
"""
pass
class PageTreeNode(DictBasedObject):
"""
Dictionary based object. (Type = Pages)
See PDF 1.7 specification `sec. 7.7.3.2 - Page Tree Nodes <https://www.adobe.com/content/dam/acom/en/devnet/pdf/pdfs/PDF32000_2008.pdf#page=76>`_
"""
def pages(self, node=None):
"""
Yields tree node pages one by one.
:return: :class:`~pdfreader.types.objects.Page` generator.
"""
if node is None:
node = self
for child in node.Kids:
if isinstance(child, Page):
yield child
else:
for page in self.pages(child):
yield page
class Page(DictBasedObject):
"""
Dictionary based Page object. (Type = Page)
See PDF 1.7 specification `sec. 7.7.3.3 - Page Objects <https://www.adobe.com/content/dam/acom/en/devnet/pdf/pdfs/PDF32000_2008.pdf#page=77>`_
"""
class XObject(StreamBasedObject):
"""
Stream based XObject object. (Type = XObject)
See PDF 1.7 specification `sec. 8.8 - External Objects <https://www.adobe.com/content/dam/acom/en/devnet/pdf/pdfs/PDF32000_2008.pdf#page=201>`_
"""
class CMap(StreamBasedObject):
""" Type = CMap
"""
class Metadata(StreamBasedObject):
""" Type = Metadata
Subtype = XML
"""
class Image(PILImageMixin, XObject):
"""
Stream based XObject object. (Type = XObject, Subtype = Image)
See PDF 1.7 specification `sec. 8.9 - Images <https://www.adobe.com/content/dam/acom/en/devnet/pdf/pdfs/PDF32000_2008.pdf#page=203>`_
"""
class Form(XObject):
"""
Stream based XObject object. (Type = XObject, Subtype = Form)
See PDF 1.7 specification `sec. 8.10 - Form XObjects <https://www.adobe.com/content/dam/acom/en/devnet/pdf/pdfs/PDF32000_2008.pdf#page=217>`_
"""
stream_content = XObject.filtered
class Group(XObject):
""" Type = XObject
Subtype = Group
"""
class OCG(DictBasedObject):
""" Type = OCG
Optional Content Group
"""
class OCMD(DictBasedObject):
""" Type = OCMD
Optional Content Membership Directory
"""
class Font(DictBasedObject):
""" Type = Font
"""
class Encoding(DictBasedObject):
""" Type = Encoding
"""
class CIDFont(DictBasedObject):
""" Type = CIDFont
"""
class FontDescriptior(DictBasedObject):
""" Type = FontDescriptior
"""
class Halftone(DictBasedObject):
""" Type = Halftone
"""
class Outlines(DictBasedObject):
""" Type = Outlines
"""
class Collection(DictBasedObject):
""" Type = Collection
"""
class CollectionField(DictBasedObject):
""" Type = CollectionField
"""
class CollectionSort(DictBasedObject):
""" Type = CollectionSort
"""
class CollectionSchema(DictBasedObject):
""" Type = CollectionSchema
"""
class PageLabel(DictBasedObject):
""" Type = PageLabel
"""
class Bread(DictBasedObject):
""" Type = Bread
"""
class Thread(DictBasedObject):
""" Type = Thread
"""
class Trans(DictBasedObject):
""" Type = Trans
"""
class NavNode(DictBasedObject):
""" Type = NavNode
"""
class Annot(DictBasedObject):
""" Type = Annot
"""
class Border(DictBasedObject):
""" Type = Border
"""
class Action(DictBasedObject):
""" Type = Action
"""
class Sig(DictBasedObject):
""" Type = Sig
"""
class SigRef(DictBasedObject):
""" Type = SigRef
"""
class TransformParams(DictBasedObject):
""" Type = TransformParams
"""
class Requirement(DictBasedObject):
""" Type = Requirement
"""
class ReqHandler(DictBasedObject):
""" Type = ReqHandler
"""
class Rendition(DictBasedObject):
""" Type = Rendition
"""
class MediaCriteria(DictBasedObject):
""" Type = MediaCriteria
"""
class MinBitDepth(DictBasedObject):
""" Type = MinBitDepth
"""
class MinScreenSize(DictBasedObject):
""" Type = MinScreenSize
"""
class MediaClip(DictBasedObject):
""" Type = MediaClip
"""
class MediaPermissions(DictBasedObject):
""" Type = MediaPermissions
"""
class MediaDuration(DictBasedObject):
""" Type = MediaDuration
"""
class MediaScreenParams(DictBasedObject):
""" Type = MediaScreenParams
"""
class FWParams(DictBasedObject):
""" Type = FWParams
"""
class MediaOffset(DictBasedObject):
""" Type = MediaOffset
"""
class Timespan(DictBasedObject):
""" Type = Timespan
"""
class MediaPlayers(DictBasedObject):
""" Type = MediaPlayers
"""
class MediaPlayerInfo(DictBasedObject):
""" Type = MediaPlayerInfo
"""
class SoftwareIdentifier(DictBasedObject):
""" Type = SoftwareIdentifier
"""
class Sound(DictBasedObject):
""" Type = Sound
"""
class SlideShow(DictBasedObject):
""" Type = SlideShow
"""
class LastModified(DictBasedObject):
""" Type = LastModified
"""
class StructTreeRoot(DictBasedObject):
""" Type = StructTreeRoot
"""
class StructElem(DictBasedObject):
""" Type = StructElem
"""
class MCR(DictBasedObject):
""" Type = MCR
Marked Content Reference
"""
class OBJR(DictBasedObject):
""" Type = OBJR
Object Reference
"""
STREAM_BASED_OBJECTS = {
'ObjectStream': ObjectStream,
'XObject': XObject,
'CMap': CMap,
'Metadata': Metadata
}
XOBJECTS = {'Image': Image,
'Form': Form,
'Group': Group}
DICT_OBJECTS = {
'Catalog': Catalog,
'Pages': PageTreeNode,
'Page': Page,
'OCG': OCG,
'OCMD': OCMD,
'Font': Font,
'Encoding': Encoding,
'CIDFont': CIDFont,
'FontDescriptior': FontDescriptior,
'Halftone': Halftone,
'Outlines': Outlines,
'Collection': Collection,
'CollectionField': CollectionField,
'CollectionSort': CollectionSort,
'CollectionSchema': CollectionSchema,
'PageLabel': PageLabel,
'Bread': Bread,
'Thread': Thread,
'Trans': Trans,
'NavNode': NavNode,
'Annot': Annot,
'Border': Border,
'Action': Action,
'Sig': Sig,
'SigRef': SigRef,
'TransformParams': TransformParams,
'Requirement': Requirement,
'ReqHandler': ReqHandler,
'Rendition': Rendition,
'MediaCriteria': MediaCriteria,
'MinBitDepth': MinBitDepth,
'MinScreenSize': MinScreenSize,
'MediaClip': MediaClip,
'MediaPermissions': MediaPermissions,
'MediaDuration': MediaDuration,
'MediaScreenParams': MediaScreenParams,
'FWParams': FWParams,
'MediaOffset': MediaOffset,
'Timespan': Timespan,
'MediaPlayers': MediaPlayers,
'MediaPlayerInfo': MediaPlayerInfo,
'SoftwareIdentifier': SoftwareIdentifier,
'Sound': Sound,
'SlideShow': SlideShow,
'LastModified': LastModified,
'StructTreeRoot': StructTreeRoot,
'StructElem': StructElem,
'MCR': MCR,
'OBJR': OBJR
}
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29933,
1463,
2061,
13,
13,
1678,
736,
22902,
29898,
1514,
29892,
5446,
29897,
565,
22902,
1683,
5446,
13,
308,
13,
13,
1990,
4669,
3835,
29898,
3835,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
4250,
29926,
855,
29885,
13,
1678,
9995,
13,
1678,
1209,
13,
13,
13,
1990,
5725,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
13,
1678,
13343,
2729,
1203,
29889,
313,
1542,
353,
5725,
29897,
13,
1678,
2823,
11328,
29871,
29896,
29889,
29955,
21992,
421,
3471,
29889,
29871,
29955,
29889,
29955,
29889,
29906,
448,
10854,
29907,
3968,
529,
991,
597,
1636,
29889,
328,
16945,
29889,
510,
29914,
3051,
29914,
16846,
29914,
29874,
510,
29914,
264,
29914,
3359,
1212,
29914,
5140,
29914,
5140,
29879,
29914,
8493,
29941,
29906,
29900,
29900,
29900,
29918,
29906,
29900,
29900,
29947,
29889,
5140,
29937,
3488,
29922,
29955,
29896,
13885,
29918,
13,
1678,
9995,
13,
1678,
1209,
13,
13,
13,
1990,
9305,
9643,
4247,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
13,
4706,
13343,
2729,
1203,
29889,
313,
1542,
353,
349,
1179,
29897,
13,
4706,
2823,
11328,
29871,
29896,
29889,
29955,
21992,
421,
3471,
29889,
29871,
29955,
29889,
29955,
29889,
29941,
29889,
29906,
448,
9305,
15472,
405,
2631,
529,
991,
597,
1636,
29889,
328,
16945,
29889,
510,
29914,
3051,
29914,
16846,
29914,
29874,
510,
29914,
264,
29914,
3359,
1212,
29914,
5140,
29914,
5140,
29879,
29914,
8493,
29941,
29906,
29900,
29900,
29900,
29918,
29906,
29900,
29900,
29947,
29889,
5140,
29937,
3488,
29922,
29955,
29953,
13885,
29918,
13,
1678,
9995,
13,
13,
1678,
822,
6515,
29898,
1311,
29892,
2943,
29922,
8516,
1125,
13,
4706,
9995,
13,
4706,
612,
969,
29879,
5447,
2943,
6515,
697,
491,
697,
29889,
13,
13,
4706,
584,
2457,
29901,
29871,
584,
1990,
18078,
30022,
5140,
16950,
29889,
8768,
29889,
12650,
29889,
5074,
29952,
15299,
29889,
13,
4706,
9995,
13,
4706,
565,
2943,
338,
6213,
29901,
13,
9651,
2943,
353,
1583,
13,
4706,
363,
2278,
297,
2943,
29889,
29968,
4841,
29901,
13,
9651,
565,
338,
8758,
29898,
5145,
29892,
9305,
1125,
13,
18884,
7709,
2278,
13,
9651,
1683,
29901,
13,
18884,
363,
1813,
297,
1583,
29889,
12292,
29898,
5145,
1125,
13,
462,
1678,
7709,
1813,
13,
13,
13,
1990,
9305,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
13,
1678,
13343,
2729,
9305,
1203,
29889,
313,
1542,
353,
9305,
29897,
13,
1678,
2823,
11328,
29871,
29896,
29889,
29955,
21992,
421,
3471,
29889,
29871,
29955,
29889,
29955,
29889,
29941,
29889,
29941,
448,
9305,
4669,
29879,
529,
991,
597,
1636,
29889,
328,
16945,
29889,
510,
29914,
3051,
29914,
16846,
29914,
29874,
510,
29914,
264,
29914,
3359,
1212,
29914,
5140,
29914,
5140,
29879,
29914,
8493,
29941,
29906,
29900,
29900,
29900,
29918,
29906,
29900,
29900,
29947,
29889,
5140,
29937,
3488,
29922,
29955,
29955,
13885,
29918,
13,
1678,
9995,
13,
13,
13,
1990,
1060,
2061,
29898,
3835,
29933,
1463,
2061,
1125,
13,
1678,
9995,
13,
1678,
13763,
2729,
1060,
2061,
1203,
29889,
313,
1542,
353,
1060,
2061,
29897,
13,
1678,
2823,
11328,
29871,
29896,
29889,
29955,
21992,
421,
3471,
29889,
29871,
29947,
29889,
29947,
448,
3985,
4669,
29879,
529,
991,
597,
1636,
29889,
328,
16945,
29889,
510,
29914,
3051,
29914,
16846,
29914,
29874,
510,
29914,
264,
29914,
3359,
1212,
29914,
5140,
29914,
5140,
29879,
29914,
8493,
29941,
29906,
29900,
29900,
29900,
29918,
29906,
29900,
29900,
29947,
29889,
5140,
29937,
3488,
29922,
29906,
29900,
29896,
13885,
29918,
13,
1678,
9995,
13,
13,
13,
1990,
315,
3388,
29898,
3835,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
315,
3388,
13,
1678,
9995,
13,
13,
13,
1990,
4737,
7221,
29898,
3835,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
4737,
7221,
13,
4706,
3323,
1853,
353,
6560,
13,
1678,
9995,
13,
13,
13,
1990,
7084,
29898,
2227,
29931,
2940,
29924,
861,
262,
29892,
1060,
2061,
1125,
13,
1678,
9995,
13,
1678,
13763,
2729,
1060,
2061,
1203,
29889,
313,
1542,
353,
1060,
2061,
29892,
3323,
1853,
353,
7084,
29897,
13,
1678,
2823,
11328,
29871,
29896,
29889,
29955,
21992,
421,
3471,
29889,
29871,
29947,
29889,
29929,
448,
1954,
1179,
529,
991,
597,
1636,
29889,
328,
16945,
29889,
510,
29914,
3051,
29914,
16846,
29914,
29874,
510,
29914,
264,
29914,
3359,
1212,
29914,
5140,
29914,
5140,
29879,
29914,
8493,
29941,
29906,
29900,
29900,
29900,
29918,
29906,
29900,
29900,
29947,
29889,
5140,
29937,
3488,
29922,
29906,
29900,
29941,
13885,
29918,
13,
1678,
9995,
13,
13,
13,
1990,
3812,
29898,
29990,
2061,
1125,
13,
1678,
9995,
13,
1678,
13763,
2729,
1060,
2061,
1203,
29889,
313,
1542,
353,
1060,
2061,
29892,
3323,
1853,
353,
3812,
29897,
13,
1678,
2823,
11328,
29871,
29896,
29889,
29955,
21992,
421,
3471,
29889,
29871,
29947,
29889,
29896,
29900,
448,
3812,
1060,
12724,
529,
991,
597,
1636,
29889,
328,
16945,
29889,
510,
29914,
3051,
29914,
16846,
29914,
29874,
510,
29914,
264,
29914,
3359,
1212,
29914,
5140,
29914,
5140,
29879,
29914,
8493,
29941,
29906,
29900,
29900,
29900,
29918,
29906,
29900,
29900,
29947,
29889,
5140,
29937,
3488,
29922,
29906,
29896,
29955,
13885,
29918,
13,
1678,
9995,
13,
13,
1678,
4840,
29918,
3051,
353,
1060,
2061,
29889,
4572,
287,
13,
13,
13,
1990,
6431,
29898,
29990,
2061,
1125,
13,
1678,
9995,
5167,
353,
1060,
2061,
13,
4706,
3323,
1853,
353,
6431,
13,
1678,
9995,
13,
13,
13,
1990,
438,
11135,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
438,
11135,
13,
4706,
28379,
10576,
6431,
13,
1678,
9995,
13,
13,
13,
1990,
438,
29907,
5773,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
438,
29907,
5773,
13,
4706,
28379,
10576,
341,
1590,
10475,
18862,
13,
1678,
9995,
13,
13,
13,
1990,
10928,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
10928,
13,
1678,
9995,
13,
13,
13,
1990,
11346,
3689,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
11346,
3689,
13,
1678,
9995,
13,
13,
13,
1990,
315,
1367,
9824,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
315,
1367,
9824,
13,
1678,
9995,
13,
13,
13,
1990,
10928,
4002,
924,
1611,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
10928,
4002,
924,
1611,
13,
1678,
9995,
13,
13,
13,
1990,
8142,
615,
650,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8142,
615,
650,
13,
1678,
9995,
13,
13,
13,
1990,
4451,
9012,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
4451,
9012,
13,
1678,
9995,
13,
13,
13,
1990,
14348,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
14348,
13,
1678,
9995,
13,
13,
13,
1990,
14348,
3073,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
14348,
3073,
13,
1678,
9995,
13,
13,
13,
1990,
14348,
13685,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
14348,
13685,
13,
1678,
9995,
13,
13,
13,
1990,
14348,
12763,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
14348,
12763,
13,
1678,
9995,
13,
13,
13,
1990,
9305,
4775,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
9305,
4775,
13,
1678,
9995,
13,
13,
13,
1990,
350,
949,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
350,
949,
13,
1678,
9995,
13,
13,
13,
1990,
10480,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
10480,
13,
1678,
9995,
13,
13,
13,
1990,
4103,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
4103,
13,
1678,
9995,
13,
13,
13,
1990,
13132,
4247,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
13132,
4247,
13,
1678,
9995,
13,
13,
13,
1990,
530,
1333,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
530,
1333,
13,
1678,
9995,
13,
13,
13,
1990,
20830,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
20830,
13,
1678,
9995,
13,
13,
13,
1990,
9123,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
9123,
13,
1678,
9995,
13,
13,
13,
1990,
15861,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
15861,
13,
1678,
9995,
13,
13,
13,
1990,
15861,
5620,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
15861,
5620,
13,
1678,
9995,
13,
13,
13,
1990,
4103,
689,
9629,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
4103,
689,
9629,
13,
1678,
9995,
13,
13,
13,
1990,
830,
1548,
358,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
830,
1548,
358,
13,
1678,
9995,
13,
13,
13,
1990,
830,
29939,
4598,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
830,
29939,
4598,
13,
1678,
9995,
13,
13,
13,
1990,
390,
355,
654,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
390,
355,
654,
13,
1678,
9995,
13,
13,
13,
1990,
8213,
29907,
21977,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8213,
29907,
21977,
13,
1678,
9995,
13,
13,
13,
1990,
3080,
21591,
8498,
386,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
3080,
21591,
8498,
386,
13,
1678,
9995,
13,
13,
13,
1990,
3080,
11357,
3505,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
3080,
11357,
3505,
13,
1678,
9995,
13,
13,
13,
1990,
8213,
29907,
3466,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8213,
29907,
3466,
13,
1678,
9995,
13,
13,
13,
1990,
8213,
15737,
6847,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8213,
15737,
6847,
13,
1678,
9995,
13,
13,
13,
1990,
8213,
18984,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8213,
18984,
13,
1678,
9995,
13,
13,
13,
1990,
8213,
11357,
9629,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8213,
11357,
9629,
13,
1678,
9995,
13,
13,
13,
1990,
383,
29956,
9629,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
383,
29956,
9629,
13,
1678,
9995,
13,
13,
13,
1990,
8213,
10302,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8213,
10302,
13,
1678,
9995,
13,
13,
1990,
10277,
8357,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
10277,
8357,
13,
1678,
9995,
13,
13,
13,
1990,
8213,
13454,
414,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8213,
13454,
414,
13,
1678,
9995,
13,
13,
13,
1990,
8213,
9075,
3401,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
8213,
9075,
3401,
13,
1678,
9995,
13,
13,
13,
1990,
18540,
12889,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
18540,
12889,
13,
1678,
9995,
13,
13,
13,
1990,
14976,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
14976,
13,
1678,
9995,
13,
13,
13,
1990,
317,
7459,
8964,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
317,
7459,
8964,
13,
1678,
9995,
13,
13,
13,
1990,
9208,
2111,
2164,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
9208,
2111,
2164,
13,
1678,
9995,
13,
13,
13,
1990,
28771,
9643,
10303,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
28771,
9643,
10303,
13,
1678,
9995,
13,
13,
13,
1990,
28771,
29923,
2409,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
28771,
29923,
2409,
13,
1678,
9995,
13,
13,
13,
1990,
341,
11341,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
341,
11341,
13,
4706,
4485,
287,
10576,
12105,
13,
1678,
9995,
13,
13,
13,
1990,
438,
29933,
29967,
29934,
29898,
21533,
29933,
1463,
2061,
1125,
13,
1678,
9995,
5167,
353,
438,
29933,
29967,
29934,
13,
4706,
4669,
12105,
13,
1678,
9995,
13,
13,
13,
1254,
1525,
5194,
29918,
25416,
29928,
29918,
14824,
17637,
29903,
353,
426,
13,
1678,
525,
2061,
3835,
2396,
4669,
3835,
29892,
13,
1678,
525,
29990,
2061,
2396,
1060,
2061,
29892,
13,
1678,
525,
29907,
3388,
2396,
315,
3388,
29892,
13,
1678,
525,
18417,
2396,
4737,
7221,
13,
29913,
13,
13,
29990,
14824,
17637,
29903,
353,
11117,
2940,
2396,
7084,
29892,
13,
9651,
525,
2500,
2396,
3812,
29892,
13,
9651,
525,
4782,
2396,
6431,
29913,
29871,
13,
13,
4571,
1783,
29918,
14824,
17637,
29903,
353,
426,
13,
1678,
525,
29907,
3968,
2396,
5725,
29892,
13,
1678,
525,
27514,
2396,
9305,
9643,
4247,
29892,
13,
1678,
525,
5074,
2396,
9305,
29892,
13,
1678,
525,
29949,
11135,
2396,
438,
11135,
29892,
13,
1678,
525,
20166,
5773,
2396,
438,
29907,
5773,
29892,
13,
1678,
525,
9824,
2396,
10928,
29892,
13,
1678,
525,
14934,
2396,
11346,
3689,
29892,
13,
1678,
525,
29907,
1367,
9824,
2396,
315,
1367,
9824,
29892,
13,
1678,
525,
9824,
4002,
924,
1611,
2396,
10928,
4002,
924,
1611,
29892,
13,
1678,
525,
29950,
284,
615,
650,
2396,
8142,
615,
650,
29892,
13,
1678,
525,
3744,
9012,
2396,
4451,
9012,
29892,
13,
1678,
525,
7196,
2396,
14348,
29892,
13,
1678,
525,
7196,
3073,
2396,
14348,
3073,
29892,
13,
1678,
525,
7196,
13685,
2396,
14348,
13685,
29892,
13,
1678,
525,
7196,
12763,
2396,
14348,
12763,
29892,
13,
1678,
525,
5074,
4775,
2396,
9305,
4775,
29892,
13,
1678,
525,
29933,
949,
2396,
350,
949,
29892,
13,
1678,
525,
4899,
2396,
10480,
29892,
13,
1678,
525,
4300,
2396,
4103,
29892,
13,
1678,
525,
22107,
4247,
2396,
13132,
4247,
29892,
13,
1678,
525,
2744,
1333,
2396,
530,
1333,
29892,
13,
1678,
525,
17025,
2396,
20830,
29892,
13,
1678,
525,
4276,
2396,
9123,
29892,
13,
1678,
525,
29903,
335,
2396,
15861,
29892,
13,
1678,
525,
29903,
335,
5620,
2396,
15861,
5620,
29892,
13,
1678,
525,
13372,
9629,
2396,
4103,
689,
9629,
29892,
13,
1678,
525,
1123,
1548,
358,
2396,
830,
1548,
358,
29892,
13,
1678,
525,
1123,
29939,
4598,
2396,
830,
29939,
4598,
29892,
13,
1678,
525,
29934,
355,
654,
2396,
390,
355,
654,
29892,
13,
1678,
525,
10572,
29907,
21977,
2396,
8213,
29907,
21977,
29892,
13,
1678,
525,
8140,
21591,
8498,
386,
2396,
3080,
21591,
8498,
386,
29892,
13,
1678,
525,
8140,
11357,
3505,
2396,
3080,
11357,
3505,
29892,
13,
1678,
525,
10572,
29907,
3466,
2396,
8213,
29907,
3466,
29892,
13,
1678,
525,
10572,
15737,
6847,
2396,
8213,
15737,
6847,
29892,
13,
1678,
525,
10572,
18984,
2396,
8213,
18984,
29892,
13,
1678,
525,
10572,
11357,
9629,
2396,
8213,
11357,
9629,
29892,
13,
1678,
525,
29943,
29956,
9629,
2396,
383,
29956,
9629,
29892,
13,
1678,
525,
10572,
10302,
2396,
8213,
10302,
29892,
13,
1678,
525,
29164,
8357,
2396,
10277,
8357,
29892,
13,
1678,
525,
10572,
13454,
414,
2396,
8213,
13454,
414,
29892,
13,
1678,
525,
10572,
9075,
3401,
2396,
8213,
9075,
3401,
29892,
13,
1678,
525,
6295,
14093,
12889,
2396,
18540,
12889,
29892,
13,
1678,
525,
29456,
2396,
14976,
29892,
13,
1678,
525,
29903,
7459,
8964,
2396,
317,
7459,
8964,
29892,
13,
1678,
525,
8897,
2111,
2164,
2396,
9208,
2111,
2164,
29892,
13,
1678,
525,
19560,
9643,
10303,
2396,
28771,
9643,
10303,
29892,
13,
1678,
525,
19560,
29923,
2409,
2396,
28771,
29923,
2409,
29892,
13,
1678,
525,
29924,
11341,
2396,
341,
11341,
29892,
13,
1678,
525,
14824,
29967,
29934,
2396,
438,
29933,
29967,
29934,
13,
29913,
13,
2
] |
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