idxLAA+= 1
idxLAM+= 1
idxLBA+= 1
idxLBM+= 1
idxLCA+= 1
idxLCM+= 1
# return V0 V+ V-
return[V0Ang,V0Mag,VpAng,VpMag,VnAng,VnMag,Vn_ubalance_seq,V0_ubalance_seq]
opts = { 'input_streams' : ['upmu/switch_a6/L1ANG','upmu/switch_a6/L1MAG','upmu/switch_a6/L2ANG',
'upmu/switch_a6/L2MAG','upmu/switch_a6/L3ANG','upmu/switch_a6/L3MAG','upmu/grizzly_new/L1ANG'], \
'input_uids' : ['adf13e17-44b7-4ef6-ae3f-fde8a9152ab7','df64af25-a389-4be9-8061-f87c3616f286',
'4f56a8f1-f3ca-4684-930e-1b4d9955f72c','6e6ad513-ddd2-47fb-98c1-16e6477504fc',
'2c07ccef-20c5-4971-87cf-2c187ce5f722','bcf38098-0e16-46f2-a9fb-9ce481d7d55b',
'b4776088-2f85-4c75-90cd-7472a949a8fa'], \
'start_date' : '2014-12-03T00:00:00.000000', \
'end_date' : '2014-12-03T23:59:59.000000', \
'output_streams' : ['VOLTAGE_ZERO_SEQ_ANG','VOLTAGE_ZERO_SEQ_MAG','VOLTAGE_POSITIVE_SEQ_ANG',
'VOLTAGE_POSITIVE_SEQ_MAG','VOLTAGE_NEGATIVE_SEQ_ANG','VOLTAGE_NEGATIVE_SEQ_MAG',
'VOLTAGE_UNBALANCE_NEG_SEQ','VOLTAGE_UNBALANCE_ZERO_SEQ'], \
'output_units' : ['Degree','V','Degree','V','Degree','V','Precent','Precent'], \
'author' : 'Refined Switch_a6', \
'name' : 'Sequence Components', \
'version' : 10, \
'algorithm' : compute }
qdf.register(Distillate(), opts)
qdf.begin()
# start date for input streams. Format must match: 'yyyy-mm-ddThh:mm:ss.ssssss'
'start_date' : '2014-10-06T00:00:00.000000',
# end date for input streams. Format must match: 'yyyy-mm-ddThh:mm:ss.ssssss'
'end_date' : '2014-10-06T02:30:00.000000',
# string names of output streams.
'output_streams' : ['out1, out2, out3'],
# List of units for each output stream
'output_units' : ['Unit', 'Unit', 'Unit'],
# The programmer who wrote this distillate. First level directory name
'author' : 'CAB',
# The name of the type algorithm implemented. Second level directory name
'name' : 'New Output Frequency',
# The version of the code. Increment this to overwrite existing data from an older
# version of this code
'version' : 6,
# Plaintext name of the function defined above. This passes a 'function reference'
# that can be called in another program
'algorithm' : algorithm }
# The following two lines instantiate the distillate class and begin begin the distillation
qdf.register(Distillate(),
opts) #instantiates an object with your parameters and algorithm
qdf.begin() # enters the program and runs the distillation program
continue
if VpAng[idxVp].time < CpAng[idxCp].time:
idxCp += 1
continue
# compute Total_dpf_pos_seq
total = np.cos(np.radians(VpAng[idxVp].value - CpAng[idxCp].value))
Total_dpf_pos_seq.append((VpAng[idxVp].time, total))
idxVp += 1
idxCp += 1
''' return Totalp_dpf_seq'''
return [Total_dpf_pos_seq]
opts = { 'input_streams' : ['Refined Grizzly/Sequence Components/VOLTAGE_POSITIVE_SEQ_ANG',
'Refined Grizzly/Sequence Components/CURRENT_POSITIVE_SEQ_ANG'], \
'input_uids' : ['b70fae9d-8275-4956-8fb0-cf42a2474c7c','f5e8010b-147c-4d9b-940c-57703f4d29e7'], \
'start_date' : '2014-12-03T00:00:00.000000', \
'end_date' : '2014-12-03T11:59:59.000000', \
'output_streams' : ['TOTAL_DPF_POS_SEQ'], \
'output_units' : ['Precent'], \
'author' : 'Calculated Grizzly', \
'name' : 'Sequence Components', \
'version' : 17, \
'algorithm' : compute }
qdf.register(Distillate(), opts)
qdf.begin()
# start date for input streams. Format must match: 'yyyy-mm-ddThh:mm:ss.ssssss'
'start_date' : '2014-10-06T00:00:00.000000',
# end date for input streams. Format must match: 'yyyy-mm-ddThh:mm:ss.ssssss'
'end_date' : '2014-10-06T02:30:00.000000',
# string names of output streams.
'output_streams' : ['out1, out2, out3'],
# List of units for each output stream
'output_units' : ['Unit', 'Unit', 'Unit'],
# The programmer who wrote this distillate. First level directory name
'author' : 'CAB',
# The name of the type algorithm implemented. Second level directory name
'name' : 'New Output Frequency',
# The version of the code. Increment this to overwrite existing data from an older
# version of this code
'version' : 6,
# Plaintext name of the function defined above. This passes a 'function reference'
# that can be called in another program
'algorithm' : algorithm }
# The following two lines instantiate the distillate class and begin begin the distillation
qdf.register(Distillate(), opts) #instantiates an object with your parameters and algorithm
qdf.begin() # enters the program and runs the distillation program
