def __init__(self, start_code, end_code):
self.__logger = logger.createLogger(self.__class__.__name__)
self.__configInfo = config.ConfigInfo('config.ini')
repoPath = self.__configInfo.repo_path
self.__rootPath = utils.appendEndSlash(repoPath)
self.__start_commit_code = start_code
self.__end_commit_code = end_code
def execute(proessor):
__logger = logger.createLogger(__name__)
try:
proessor.process()
except Exception as e:
__logger.exception('Processing occur error.')
def __init__(self, queryServer=None):
##ugur
self.rpclogger = createLogger('RPC')
self.rpclogger.info('Starting JSONRPCServer')
self.queryServer = queryServer
self.queryManager = QueryManager(
store=self.queryServer.createStore(),
sources=self.queryServer.config.sources,
plugins=self.queryServer.config.plugins)
def __init__(self, sources):
self.qglogger = logger.createLogger('querygenerator')
self.qglogger.debug('In %s' % sys._getframe().f_code.co_name)
self.qglogger.info('Starting Query Generator')
self.nfsen_filters = [
'src_ip', 'src_port', 'dst_ip', 'dst_port', 'proto',
'protocol_version', 'packets', 'bytes', 'duration', 'flags', 'tos',
'pps', 'bps', 'bpp', 'AS', 'scale'
]
self.store = db.get_store()
self.sources = sources
def __init__(self, sources):
self.qglogger = logger.createLogger('querygenerator')
self.qglogger.debug('In %s' % sys._getframe().f_code.co_name)
self.qglogger.info('Starting Query Generator')
self.nfsen_filters = [
'src_ip',
'src_port',
'dst_ip',
'dst_port',
'proto',
'protocol_version',
'packets',
'bytes',
'duration',
'flags',
'tos',
'pps',
'bps',
'bpp',
'AS',
'scale' ]
self.store = db.get_store()
self.sources = sources
from abc import ABCMeta, abstractmethod
import random
from event import SignalEvent, OrderEvent
random.seed(10)
import logger
logger_s = logger.createLogger("strategy")
class Strategy(object):
"""
Strategy is an abstract base class providing an interface for
users to develop their own strategies.
The goal of a (derived) Strategy object is to generate SignalEvent
based on the inputs of bar, and generate OrderEvent based on the
SignalEvent and the current portifolio.
This is designed to work both with historic and live data as
the Strategy object is agnostic to the data source.
"""
__metaclass__ = ABCMeta
@abstractmethod
def generate_signal(self, bar):
"""
Provides the mechanism to generate a SignalEvent based on
the data bar, this method should return None if nothing needs
tester.timeout = kwargs["timeout"]
tester.execute = generateJITScript(JIT="LLVMJIT",
archTestScript=testOr1k)
return tester
elif index == 2:
tester = pif.Or1kTester("Or1kTCCJITTester")
tester.swDir = kwargs["Or1kSwDir"]
tester.simDir = kwargs["Or1kSimDir"]
tester.timeout = kwargs["timeout"]
tester.execute = generateJITScript(JIT="TCCJIT",
archTestScript=testOr1k)
return tester
elif index == 3:
# TODO: Add VP tester
return None
else:
return None
# Unit test
if __name__ == '__main__':
logger = lg.createLogger("Or1kArchTesterLogger", debug=True)
testers = []
for i in range(0, countPlugins()):
testers.append(createPlugin(i))
for t in testers:
if t:
t.execute(t, logger)
from ib import Sharp
from ib.ttypes import *
from ib.constants import *
from thrift import Thrift
from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol
import logger
import event
import strategy
import portfolio
logger = logger.createLogger("trader")
class AbstractTrader(object):
"""
the interface
"""
__metaclass__ = ABCMeta
@abstractmethod
def trade(self):
"""
monitor the data feed for watchlist and trade necessarily
"""
raise NotImplementedError("Should implement trade()")
@abstractmethod
import time
import logger
import numpy as np
from scipy.sparse import csr_matrix
from sklearn import grid_search
from sklearn import metrics
from sklearn import linear_model
from sklearn import svm
logger = logger.createLogger("hw2_q3")
class FeatureGenerator(object):
"""preparing features"""
def __init__(self, data_file, label_file, groups = 20, docs = 11269, vocabulary = 61188):
self.data_file = data_file
self.label_file = label_file
self.groups = groups
self.docs = docs
self.vocabulary = vocabulary
self.binary_feature = None
self.tf_feature = None
self.tfidf_feature = None
self.label = np.loadtxt(label_file, usecols = (0,))
def create_features(self):
train_data = np.loadtxt(self.data_file, usecols = (0,1,2), dtype = np.int32)
doc_ids = train_data[:,0] - 1 # make doc_id start from zero
word_ids = train_data[:,1] - 1 # make word_id start from zero
word_f = train_data[:,2]
indptr = [0]
dict_helper = {}
def initLoggerToUse(self, logger):
self._log = logger.createLogger(G_NAME_MODULE_LOG,
G_NAME_GROUP_LOG_GENERIC_INSTANCE,
instance=self.loggerName)
self.loggerManager.initLoggerToUse(self._log)
SIM_DIR = "../build_dir/installed/examples/bare_etiss_processor/"
SW_DIR = "../build_dir/installed/examples/SW/"
PLUGIN_DIR = "./plugins"
# kwargs is the argument dict which will be passed to all createPlugins() function
# and specific createPlugins() will pick up arguments in need.
kwargs = {"Or1kSwDir": SW_DIR + "/or1k",\
"Or1kSimDir":SIM_DIR ,\
"RiscvSwDir": SW_DIR + "/riscv",\
"RiscvSimDir": SIM_DIR ,\
# timeout in seconds for simulator, 0 indicates timeout disabled
"timeout": timeout
}# add "Armv6MSwDir": SW_DIR + "/arm",\ "Armv6MSimDir": SIM_DIR ,\ for ARM
logger = lg.createLogger("CITesterLogger")
pl = PluginLoader(PLUGIN_DIR, logger)
def loader(module):
"""This functions handles with plugin interface to create plugin"""
plugins = []
# Return empty plugins list when do not have plugin
# interface
try:
module.countPlugins()
except Exception as e:
logger.warning(
"Module: {} in plugin directory is not a plugin".format(
module.__name__))
return plugins
from ib import Sharp
from ib.ttypes import *
from ib.constants import *
from thrift import Thrift
from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol
import logger
import event
import strategy
import portfolio
logger = logger.createLogger("trader")
class AbstractTrader(object):
"""
the interface
"""
__metaclass__ = ABCMeta
@abstractmethod
def trade(self):
"""
monitor the data feed for watchlist and trade necessarily
"""
raise NotImplementedError("Should implement trade()")
from abc import ABCMeta, abstractmethod
import random
from event import SignalEvent, OrderEvent
random.seed(10)
import logger
logger_s = logger.createLogger("strategy")
class Strategy(object):
"""
Strategy is an abstract base class providing an interface for
users to develop their own strategies.
The goal of a (derived) Strategy object is to generate SignalEvent
based on the inputs of bar, and generate OrderEvent based on the
SignalEvent and the current portifolio.
This is designed to work both with historic and live data as
the Strategy object is agnostic to the data source.
"""
__metaclass__ = ABCMeta
@abstractmethod
def generate_signal(self, bar):
"""
Provides the mechanism to generate a SignalEvent based on
the data bar, this method should return None if nothing needs
to be done for the data bar.
def logger(cls):
if cls._logger is None:
cls._logger = createLogger("datebase", level=cls.LOGLEVEL)
return cls._logger
import logger
# all prints
from constants import *
from model import Model
from nn_util import num_parameters, layer_to_image_summary, weight_to_image_summary
from util import accuracy, get_input, get_size
from alexnet_small import AlexNetSmall
from briannet import BrianNet
from vggnet import VGGNet
timestamp = time.strftime("%Y-%m-%d_%H:%M:%S")
# print to save to full log and console
full_log = logger.createLogger(LOGS_DIR + "full_output__" + timestamp + ".log",
"all outputs", True)
print = full_log.info
# short git hash
githashval = subprocess.check_output(["git", "rev-parse",
"HEAD"]).decode('UTF-8')[:7]
# call log.info to save to proper log
log = logger.createLogger(LOGS_DIR + "log__" + timestamp + ".log",
"logs to keep", False)
param_log_name = LOGS_DIR + "save__" + timestamp + "__" + githashval + ".log"
# param_log = logger.createLogger(param_log_name, "parameters", True)
import tensorflow as tf
def run(target_categories,
class Weathers(object):
_logger = createLogger("Weathers")
#查询城市，keyword为模糊查询关键字，可为空
def cities(self, keyword=''):
cities_tree = {}
for r in DBInstance.records(Area,
Area.namecn.ilike("%%" + keyword + "%%")):
if r.nationcn not in cities_tree.keys():
cities_tree[r.nationcn] = {}
if r.provcn not in cities_tree[r.nationcn].keys():
cities_tree[r.nationcn][r.provcn] = {}
if r.districtcn not in cities_tree[r.nationcn][r.provcn].keys():
cities_tree[r.nationcn][r.provcn][r.districtcn] = []
cities_tree[r.nationcn][r.provcn][r.districtcn].append({
"areaid":
r.areaid,
"name":
r.namecn
})
return json.dumps(cities_tree, ensure_ascii=False)
def request_network_api(self, location):
print("++++++++++++++", location)
headers = {
"Authorization": "APPCODE 377ab35f6c624993b54e8c75345d23ba",
"Content-Type": "application/json; charset=utf-8"
}
res = requests.get(SAWeatherURL + "?area=" + location +
"&needMoreDay=1&needIndex=1",
headers=headers)
weather_data = json.loads(res.content, encoding="utf-8")
#print(json.dumps(, ensure_ascii=False))
if weather_data["showapi_res_code"] != 0:
Weathers._logger.warn("获取天气信息失败：" +
weather_data["showapi_res_error"])
return
print(json.dumps(weather_data, ensure_ascii=False))
data_body = weather_data["showapi_res_body"]
days = ["f1", "f2", "f3", "f4", "f5", "f6", "f7"]
for day in days:
if day in data_body.keys():
day_info = data_body[day]
if day_info is not None:
w = {}
w["areaid"] = data_body["cityInfo"]["c1"]
w["day"] = data_body[day]["day"]
w["day_weather"] = data_body[day]["day_weather"]
w["night_weather"] = data_body[day]["night_weather"]
w["day_air_temperature"] = data_body[day][
"day_air_temperature"]
w["night_air_temperature"] = data_body[day][
"night_air_temperature"]
w["day_wind_direction"] = data_body[day][
"day_wind_direction"]
w["night_wind_direction"] = data_body[day][
"night_wind_direction"]
w["day_wind_power"] = data_body[day]["day_wind_power"]
w["night_wind_power"] = data_body[day]["night_wind_power"]
w["sun_begin_end"] = data_body[day]["sun_begin_end"]
w["weekday"] = data_body[day]["weekday"]
w["day_weather_code"] = data_body[day]["day_weather_code"]
w["night_weather_code"] = data_body[day][
"night_weather_code"]
#w["air_press"] = data_body[day]["air_press"]
w["jiangshui"] = data_body[day]["jiangshui"]
if not DBInstance.isRecordExist(
Weather,
and_(Weather.areaid == w["areaid"], Weather.day
== w["day"])):
temp_w = Weather(**w)
temp_size = DBInstance.addRecord(temp_w)
if 1 == temp_size:
#print("11111")
indexs = data_body[day]["index"]
temps = []
for key in indexs.keys():
ititle = indexs[key]["title"]
idesc = indexs[key]["desc"]
temps.append(
Index(
**{
"weather_id": temp_w.id,
"title": ititle,
"desc": idesc,
"type": key
}))
if len(temps) > 0:
s = DBInstance.addRecord(temps)
print("===>", s)
self.set_last_udpate_date(location)
#获取天气情况
def weather_with_location(self, location):
date_string = datetime.date.today().strftime("%Y-%m-%d")
if date_string != self.last_update_date(location):
#print("===", date_string, self.last_update_date(location), date_string == self.last_update_date(location))
#需要拉取远程API数据
self.request_network_api(location)
#读取数据库数据
key_date_string = date_string.replace("-", "")
#读取地区id
area_rs = DBInstance.records(Area, Area.namecn == location)
if len(area_rs) > 0:
weather_rs = DBInstance.records(
Weather,
and_(Weather.day >= key_date_string,
Weather.areaid == area_rs[0].areaid))
weathers = {}
weathers["days"] = []
for temp_w in weather_rs:
temp = {}
temp["day"] = temp_w.day
temp["day_weather"] = temp_w.day_weather
temp["night_weather"] = temp_w.night_weather
temp["day_air_temperature"] = temp_w.day_air_temperature
temp["night_air_temperature"] = temp_w.night_air_temperature
temp["day_wind_direction"] = temp_w.day_wind_direction
temp["night_wind_direction"] = temp_w.night_wind_direction
temp["day_wind_power"] = temp_w.day_wind_power
temp["night_wind_power"] = temp_w.night_wind_power
temp["sun_begin_end"] = temp_w.sun_begin_end
temp["weekday"] = temp_w.weekday
temp["day_weather_code"] = temp_w.day_weather_code
temp["night_weather_code"] = temp_w.night_weather_code
temp["jiangshui"] = temp_w.jiangshui
#指数
indexs = DBInstance.records(Index,
Index.weather_id == temp_w.id)
for index in indexs:
temp[index.type] = {
"title": index.title,
"desc": index.desc
}
weathers["days"].append(temp)
return self.build_standard_response(0, "", data=weathers)
return self.build_standard_response(-1, "获取天气预报异常")
def build_standard_response(self, code, message, data=None):
return json.dumps({
"code": code,
"message": message,
"data": data
},
ensure_ascii=False)
#获取最后更新日期
def last_update_date(self, location):
if len(location) == 0:
return
rs = DBInstance.records(LastUpdateDate,
LastUpdateDate.type == location)
if len(rs) == 0:
return datetime.date.fromtimestamp(0)
return str(datetime.datetime.strptime(rs[0].date, '%Y-%m-%d').date())
#设置最后更新日期
def set_last_udpate_date(self, location):
if len(location) == 0:
return
date_string = datetime.date.today().strftime("%Y-%m-%d")
if DBInstance.isRecordExist(LastUpdateDate,
LastUpdateDate.type == location):
return DBInstance.updateRecords(LastUpdateDate,
LastUpdateDate.type == location,
{LastUpdateDate.date: date_string})
else:
return DBInstance.addRecord(
LastUpdateDate(type=location, date=date_string))
import time
import logger
import numpy as np
from scipy.sparse import csr_matrix
from sklearn import grid_search
from sklearn import metrics
from sklearn import linear_model
from sklearn import svm
logger = logger.createLogger("hw2_q3")
class FeatureGenerator(object):
"""preparing features"""
def __init__(self,
data_file,
label_file,
groups=20,
docs=11269,
vocabulary=61188):
self.data_file = data_file
self.label_file = label_file
self.groups = groups
self.docs = docs
self.vocabulary = vocabulary
self.binary_feature = None
self.tf_feature = None
self.tfidf_feature = None
self.label = np.loadtxt(label_file, usecols=(0, ))
def create_features(self):
def __init__(self, queryServer = None):
##ugur
self.rpclogger = createLogger('RPC')
self.rpclogger.info('Starting JSONRPCServer')
self.queryServer = queryServer
self.queryManager = QueryManager(store=self.queryServer.createStore(), sources=self.queryServer.config.sources, plugins=self.queryServer.config.plugins)
def __init__(self, queryManager):
self.rpclogger = createLogger('RPC')
self.rpclogger.info('Starting JSONRPCServer')
#self.queryGen = queryManager.queryGenerator
self.queryManager = queryManager
for ind, fit in zip(invalid_ind, fitnesses):
ind.fitness.values = fit
# Update the hall of fame with the generated individuals
if halloffame is not None:
halloffame.update(offspring)
# Replace the current population by the offspring
population[:] = offspring
# Append the current generation statistics to the logbook
record = mstats.compile(population) if mstats else {}
logbook.record(gen=gen, nevals=len(invalid_ind), **record)
if verbose:
print logbook.stream
if gen % FREQ == 0:
cp = dict(population=population, generation=gen, halloffame=halloffame,
logbook=logbook, rndstate=random.getstate())
with open("checkpoint_name.pkl", "wb") as cp_file:
pickle.dump(cp, cp_file)
return population, logbook
if __name__ == "__main__":
logger.createLogger()
try:
main()
except Exception:
logging.exception("KeyError")
def initLoggerToUse (self, logger):
self._log = logger.createLogger(G_NAME_MODULE_LOG, G_NAME_GROUP_LOG_GENERIC_INSTANCE, instance=self.loggerName)
self.loggerManager.initLoggerToUse(self._log)
# 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.
#
#
# Author: Chair of Electronic Design Automation, TUM
#
# Version 0.1
#
import os
import re
import imp
import logger as lg
logger = lg.createLogger("loaderLogger", debug=True)
class PluginLoader:
def __init__(self, pluginsDir, logger=logger):
self.__filters = []
self.__loader = None
self.__PLUGIN_DIR = pluginsDir
self.__logger = logger
self.__pluginModules = self.getPluginModules(self.__PLUGIN_DIR)
def getPluginModules(self, pluginsDir):
pluginModules = []
possiblePlugins = os.listdir(pluginsDir)
for i in possiblePlugins:
location = os.path.join(pluginsDir, i)
tester.timeout = kwargs["timeout"]
tester.execute = generateJITScript(JIT="LLVMJIT",
archTestScript=testRiscv)
return tester
elif index == 2:
tester = pif.RiscvTester("RiscvTCCJITTester")
tester.swDir = kwargs["RiscvSwDir"]
tester.simDir = kwargs["RiscvSimDir"]
tester.timeout = kwargs["timeout"]
tester.execute = generateJITScript(JIT="TCCJIT",
archTestScript=testRiscv)
return tester
elif index == 3:
# TODO: Add VP tester
return None
else:
return None
# Unit test
if __name__ == '__main__':
logger = lg.createLogger("RiscvArchTesterLogger", debug=True)
testers = []
for i in range(0, countPlugins()):
testers.append(createPlugin(i))
for t in testers:
if t:
t.execute(t, logger)
# tester.swDir = kwargs["RiscvSwDir"]
# tester.simDir = kwargs["RiscvSimDir"]
tester.execute = testRiscvArchGDB
return tester
elif index == 2:
# Add Armv6M GDB here
return None
else:
return None
def testOr1kArchGDB(self, logger):
logger.info(Color.BOLD + Color.RED +"\n\nGDB tester for Or1k architecure not implemented yet\n"\
+ Color.END)
def testRiscvArchGDB(self, logger):
logger.info(Color.BOLD + Color.RED +"\n\nGDB tester for RISCV architecure not implemented yet\n"\
+ Color.END)
# Unit test
if __name__ == '__main__':
logger = lg.createLogger("GDBTesterLogger", debug = True)
testers = []
for i in range(0, countPlugins()):
testers.append(createPlugin(i))
for t in testers:
if t:
print(t.namePlugin())
print (t.nameArch())
import unittest
from word_net import *
import logger as logging
#from knowledgegraph import *
#from read import *
logger = logging.createLogger("test", "./", out=True)
class TestWordNet(unittest.TestCase):
def test_synonym_sets(self):
print("\ntest_synonym_sets")
out = synonym_sets('ball')
logger.debug(out)
self.assertTrue(out)
def test_lemmas(self):
print("\ntest_lemmas")
out = lemmas('ball.n.01')
logger.debug(out)
self.assertTrue(out)
def test_antonyms(self):
print("\ntest_antonyms")
out = antonyms('ball.n.01.ball')
logger.debug(out)
self.assertTrue(out)
def test_hypernyms(self):
print("\ntest_hypernyms")
out = hypernyms('ball.n.01')
