def __sort(algs, data):
if 'insertion' == algs:
Insertion.sort(data)
if 'insertion_advance' == algs:
Insertion.sort_advance(data)
if 'selection' == algs:
Selection.sort(data)
if 'shell' == algs:
Shell.sort(data)
if 'merge' == algs:
Merge.sort(data)
def __init__(self,
input_size,
batch_size,
num_units_merge,
rnn_layers,
grad_clip_merge,
num_units_split,
split_layers,
grad_clip_split,
beta=1.0):
super(DivideAndConquerNetwork, self).__init__()
# General
self.input_size = input_size
self.batch_size = batch_size
# Merge
self.num_units_merge = num_units_merge
self.rnn_layers = rnn_layers
self.merge = Merge(input_size, num_units_merge, batch_size)
# Split
self.num_units_split = num_units_split
self.split_layers = split_layers
self.beta = beta
self.split = Split(input_size, num_units_split, batch_size,
split_layers)
# Training
self.grad_clip_split = grad_clip_split
self.optim_split = optim.RMSprop(self.split.parameters())
self.grad_clip_merge = grad_clip_merge
self.optim_merge = optim.Adam(self.merge.parameters())
def onRadianButton(self, event):
self.spreadsheet = 0
#send spreadsheet path to Merge class
myMerge = Merge(self.tc_files)
#myMerge.hello()
for i, v in enumerate(self.dropped_files):
if self.dropped_files[i].endswith('.xlsx' or '.XLSX'):
self.spreadsheet = v
self.tc_files.WriteText("\n Processing Spreadsheet...")
propertyList = myMerge.openFile(self.spreadsheet)
#self.tc_files.WriteText("\n Creating PDFs...")
myMerge.rename_files()
self.tc_files.WriteText("\n Creating Emails...")
myEmail = Emailer()
myEmail.create_mail(propertyList)
self.tc_files.WriteText("\n You're done! Don't forget to hit the clear button!")
def doMerge(iFile1, iFile2, oFile): pc1 = InOut.read(iFile1) if(pc1 == None): return False pc2 = InOut.read(iFile2) if(pc2 == None): return False pcMerged = Merge.merge(pc1, pc2) InOut.write(oFile, pcMerged)
def __init__(self):
AlgorithmProvider.__init__(self)
self.alglist = [SumLines(), PointsInPolygon(),
PointsInPolygonWeighted(), PointsInPolygonUnique(),
BasicStatisticsStrings(), BasicStatisticsNumbers(),
NearestNeighbourAnalysis(), MeanCoords(),
LinesIntersection(), UniqueValues(), PointDistance(),
ReprojectLayer(), ExportGeometryInfo(), Centroids(),
Delaunay(), VoronoiPolygons(), SimplifyGeometries(),
DensifyGeometries(), DensifyGeometriesInterval(),
MultipartToSingleparts(), SinglePartsToMultiparts(),
PolygonsToLines(), LinesToPolygons(), ExtractNodes(),
Eliminate(), ConvexHull(), FixedDistanceBuffer(),
VariableDistanceBuffer(), Dissolve(), Difference(),
Intersection(), Union(), Clip(), ExtentFromLayer(),
RandomSelection(), RandomSelectionWithinSubsets(),
SelectByLocation(), RandomExtract(),
RandomExtractWithinSubsets(), ExtractByLocation(),
SpatialJoin(), RegularPoints(), SymetricalDifference(),
VectorSplit(), VectorGrid(), DeleteColumn(),
DeleteDuplicateGeometries(), TextToFloat(),
ExtractByAttribute(), SelectByAttribute(), Grid(),
Gridify(), HubDistance(), HubLines(), Merge(),
GeometryConvert(), AddTableField(), FieldsCalculator(),
SaveSelectedFeatures(), JoinAttributes(),
AutoincrementalField(), Explode(), FieldsPyculator(),
EquivalentNumField(), PointsLayerFromTable(),
StatisticsByCategories(), ConcaveHull(), Polygonize(),
RasterLayerStatistics(), PointsDisplacement(),
ZonalStatistics(), PointsFromPolygons(),
PointsFromLines(), RandomPointsExtent(),
RandomPointsLayer(), RandomPointsPolygonsFixed(),
RandomPointsPolygonsVariable(),
RandomPointsAlongLines(), PointsToPaths(),
PostGISExecuteSQL(), ImportIntoPostGIS(),
SetVectorStyle(), SetRasterStyle(),
SelectByExpression(), HypsometricCurves(),
# ------ raster ------
# CreateConstantRaster(),
# ------ graphics ------
# VectorLayerHistogram(), VectorLayerScatterplot(),
# RasterLayerHistogram(), MeanAndStdDevPlot(),
# BarPlot(), PolarPlot()
]
folder = os.path.join(os.path.dirname(__file__), 'scripts')
scripts = ScriptUtils.loadFromFolder(folder)
for script in scripts:
script.allowEdit = False
self.alglist.extend(scripts)
for alg in self.alglist:
alg._icon = self._icon
def main():
ticker = raw_input("\n\n\n----------------------------------------------\nWelcome. Ready to trade? Pick a stock ticker: ")
reuterObj = ReutersQuery()
reuterVector = reuterObj.getQuery(ticker)
sentimentObj = Sentiment()
sentiments = sentimentObj.sentimentVectorize(reuterVector)
yahooObj = YahooQuery()
yahooVector = yahooObj.doYahooQuery(ticker, reuterVector)
reuterDates = DateFormat()
dates = reuterDates.fixDates(reuterVector)
mergeObj = Merge()
merged = mergeObj.mergeEverything(sentiments, yahooVector, dates)
strategyObj = Strategy()
metrics = strategyObj.runStrategy(ticker, merged)
outputObj = Output()
outputObj.putOutput(ticker, metrics, yahooVector, merged)
print '\nThanks for trading with Vivek! Get money, get paid!'
class Driver:
if __name__ == '__main__':
# Extracting data from 5 excel files
extract = Extract()
ds,d,os,sa,ea= extract.getAllData()
# Transforming data to obtain additional columns
transform = Transform()
ds,d= transform.transformAllData(ds,d)
# Dropping unnecessary columns
dropColumns = DropColumns()
drivingSearch,delivery,orders,startAddresses,endAddresses= dropColumns.dropAllColumns(ds,d,os,sa,ea)
# joining the 5 tables
merge=Merge()
finalData = merge.mergeAllTables(drivingSearch,delivery,orders,startAddresses,endAddresses)
# Converting the date columns from Object type to DateTime
finalData= transform.transformdate(finalData)
sqlload=SQL_Load()
sqlload.loadDataToStaging(finalData)
def __init__(self):
AlgorithmProvider.__init__(self)
self._icon = QIcon(os.path.join(pluginPath, 'images', 'qgis.png'))
self.alglist = [
SumLines(),
PointsInPolygon(),
PointsInPolygonWeighted(),
PointsInPolygonUnique(),
BasicStatisticsStrings(),
BasicStatisticsNumbers(),
NearestNeighbourAnalysis(),
MeanCoords(),
LinesIntersection(),
UniqueValues(),
PointDistance(),
ReprojectLayer(),
ExportGeometryInfo(),
Centroids(),
Delaunay(),
VoronoiPolygons(),
SimplifyGeometries(),
DensifyGeometries(),
DensifyGeometriesInterval(),
MultipartToSingleparts(),
SinglePartsToMultiparts(),
PolygonsToLines(),
LinesToPolygons(),
ExtractNodes(),
Eliminate(),
ConvexHull(),
FixedDistanceBuffer(),
VariableDistanceBuffer(),
Dissolve(),
Difference(),
Intersection(),
Union(),
Clip(),
ExtentFromLayer(),
RandomSelection(),
RandomSelectionWithinSubsets(),
SelectByLocation(),
RandomExtract(),
DeleteHoles(),
RandomExtractWithinSubsets(),
ExtractByLocation(),
SpatialJoin(),
RegularPoints(),
SymmetricalDifference(),
VectorSplit(),
VectorGrid(),
DeleteColumn(),
DeleteDuplicateGeometries(),
TextToFloat(),
ExtractByAttribute(),
SelectByAttribute(),
Grid(),
Gridify(),
HubDistance(),
HubLines(),
Merge(),
GeometryConvert(),
AddTableField(),
FieldsCalculator(),
SaveSelectedFeatures(),
JoinAttributes(),
AutoincrementalField(),
Explode(),
FieldsPyculator(),
EquivalentNumField(),
PointsLayerFromTable(),
StatisticsByCategories(),
ConcaveHull(),
RasterLayerStatistics(),
PointsDisplacement(),
ZonalStatistics(),
PointsFromPolygons(),
PointsFromLines(),
RandomPointsExtent(),
RandomPointsLayer(),
RandomPointsPolygonsFixed(),
RandomPointsPolygonsVariable(),
RandomPointsAlongLines(),
PointsToPaths(),
PostGISExecuteSQL(),
ImportIntoPostGIS(),
SetVectorStyle(),
SetRasterStyle(),
SelectByExpression(),
HypsometricCurves(),
SplitLinesWithLines(),
CreateConstantRaster(),
FieldsMapper(),
SelectByAttributeSum(),
Datasources2Vrt(),
CheckValidity(),
OrientedMinimumBoundingBox(),
Smooth(),
ReverseLineDirection()
]
if hasMatplotlib:
from VectorLayerHistogram import VectorLayerHistogram
from RasterLayerHistogram import RasterLayerHistogram
from VectorLayerScatterplot import VectorLayerScatterplot
from MeanAndStdDevPlot import MeanAndStdDevPlot
from BarPlot import BarPlot
from PolarPlot import PolarPlot
self.alglist.extend([
VectorLayerHistogram(),
RasterLayerHistogram(),
VectorLayerScatterplot(),
MeanAndStdDevPlot(),
BarPlot(),
PolarPlot(),
])
if hasShapely:
from Polygonize import Polygonize
self.alglist.extend([Polygonize()])
if QGis.QGIS_VERSION_INT >= 21400:
from ExecuteSQL import ExecuteSQL
self.alglist.extend([ExecuteSQL()])
folder = os.path.join(os.path.dirname(__file__), 'scripts')
scripts = ScriptUtils.loadFromFolder(folder)
for script in scripts:
script.allowEdit = False
self.alglist.extend(scripts)
for alg in self.alglist:
alg._icon = self._icon
'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some',
'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too',
'very', 's', 't', 'can', 'will', 'just', 'don', "dont", 'should',
"shouldve", 'now', 'd', 'll', 'm', 'o', 're', 've', 'y', 'ain', 'aren',
"arent", 'couldn', "couldnt", 'didn', "didnt", 'doesn', "doesnt", 'hadn',
"hadnt", 'hasn', "hasnt", 'haven', "havent", 'isn', "isn't", 'ma',
'mightn', "mightnt", 'mustn', "mustnt", 'needn', "neednt", 'shan', "shant",
'shouldn', "shouldnt", 'wasn', "wasn't", 'weren', "weren't", 'won',
"won't", 'wouldn', "wouldnt"
]
files = []
secondFile = []
dictPost = {}
fileLists = []
mg = Merge()
fr = FileRetrival()
dic = Dictionary()
stopArr = []
fr.retrivalSMGFile(files)
index = 0
max = 0
weight = 0
blockNumber = 0
articleCount = 0
dictionary = {}
tf_dictionary = {}
idf = {}
df = {}
N = 0
def begin_tpu_calc(self):
surface_ind = self.waterSurfaceRadio.selection.get()
surface_selection = self.water_surface_options[surface_ind]
wind_ind = self.windRadio.selection.get()
wind_selection = self.windOptions[wind_ind]
kd_ind = self.turbidityRadio.selection.get()
kd_selection = self.turbidity_options[kd_ind]
# CREATE OBSERVATION EQUATIONS
S = SensorModel(
self.controller.controller_configuration['sensor_model'])
# GENERATE JACOBIAN FOR SENSOR MODEL OBSVERVATION EQUATIONS
J = Jacobian(S)
# CREATE OBJECT THAT PROVIDES FUNCTIONALITY TO MERGE LAS AND TRAJECTORY DATA
M = Merge()
multiprocess = self.controller.controller_configuration['multiprocess']
if multiprocess:
num_cores = self.controller.controller_configuration[
'number_cores']
cpu_process_info = ('multiprocess', num_cores)
else:
cpu_process_info = ('singleprocess', )
tpu = Tpu(
surface_selection, surface_ind, wind_selection,
self.wind_vals[wind_ind][1], kd_selection, self.kd_vals[kd_ind][1],
self.vdatum_region.get(), self.mcu, self.tpuOutput.directoryName,
self.controller.controller_configuration['cBLUE_version'],
self.controller.controller_configuration['sensor_model'],
cpu_process_info,
self.controller.controller_configuration['subaqueous_LUTs'],
self.controller.
controller_configuration['water_surface_ellipsoid_height'])
las_files = [
os.path.join(self.lasInput.directoryName, l)
for l in os.listdir(self.lasInput.directoryName)
if l.endswith('.las')
]
num_las = len(las_files)
def signal_completion():
self.tpu_btn_text.set('TPU Calculated')
self.tpuProcess.config(fg='darkgreen')
print('DONE!! (close cBLUE before running again)')
def sbet_las_tiles_generator():
"""This generator is the 2nd argument for the
run_tpu_multiprocessing method, to avoid
passing entire sbet or list of tiled
sbets to the calc_tpu() method
"""
for las_file in las_files:
logging.debug('({}) generating SBET tile...'.format(
las_file.split('\\')[-1]))
inFile = laspy.file.File(las_file, mode='r')
west = inFile.reader.get_header_property('x_min')
east = inFile.reader.get_header_property('x_max')
north = inFile.reader.get_header_property('y_max')
south = inFile.reader.get_header_property('y_min')
yield self.sbet.get_tile_data(north, south, east,
west), las_file, J, M
logging.info('processing {} las file(s) ({})...'.format(
num_las, cpu_process_info[0]))
if multiprocess:
p = tpu.run_tpu_multiprocess(num_las, sbet_las_tiles_generator())
signal_completion()
p.close()
p.join()
else:
tpu.run_tpu_singleprocess(num_las, sbet_las_tiles_generator())
signal_completion()
