<s> '''<STR_LIT>''' <EOL> import numpy as np <EOL> MAXSEED = <NUM_LIT> <EOL> class AdmixMinibatchIterator ( object ) : <EOL> def __init__ ( self , Data , nBatch = <NUM_LIT:10> , nObsBatch = None , nLap = <NUM_LIT:20> , dataorderseed = <NUM_LIT> , allocModelName = None , ** kwargs ) : <EOL> '''<STR_LIT>''' <EOL> self . Data = Data <EOL> self . nBatch = nBatch <EOL> self . nLap = nLap <EOL> self . nObsTotal = Data . nDocTotal <EOL> if nObsBatch is None : <EOL> self . nObsBatch = Data . nDocTotal / nBatch <EOL> else : <EOL> self . nObsBatch = nObsBatch <EOL> self . curLapPos = - <NUM_LIT:1> <EOL> self . lapID = <NUM_LIT:0> <EOL> self . dataorderseed = int ( int ( dataorderseed ) % MAXSEED ) <EOL> self . obsIDByBatch = self . configObsIDsForEachBatch ( ) <EOL> def has_next_batch ( self ) : <EOL> if self . lapID >= self . nLap : <EOL> return False <EOL> if self . lapID == self . nLap - <NUM_LIT:1> : <EOL> if self . curLapPos == self . nBatch - <NUM_LIT:1> : <EOL> return False <EOL> return True <EOL> def get_next_batch ( self ) : <EOL> '''<STR_LIT>''' <EOL> if not self . has_next_batch ( ) : <EOL> raise StopIteration ( ) <EOL> self . curLapPos += <NUM_LIT:1> <EOL> if self . curLapPos >= self . nBatch : <EOL> self . curLapPos = <NUM_LIT:0> <EOL> self . lapID += <NUM_LIT:1> <EOL> self . batchOrderCurLap = self . get_rand_order_for_batchIDs_current_lap ( ) <EOL> self . batchID = self . batchOrderCurLap [ self . curLapPos ] <EOL> obsIDsCurBatch = self . obsIDByBatch [ self . batchID ] <EOL> bData = self . Data . select_subset_by_mask ( obsIDsCurBatch ) <EOL> return bData <EOL> def getObsIDsForCurrentBatch ( self ) : <EOL> return self . obsIDByBatch [ self . batchOrderCurLap [ self . curLapPos ] ] <EOL> def get_text_summary ( self ) : <EOL> '''<STR_LIT>''' <EOL> if hasattr ( self , '<STR_LIT>' ) : <EOL> return self . summary <EOL> return '<STR_LIT>' % ( self . __class__ . __name__ ) <EOL> def configObsIDsForEachBatch ( self ) : <EOL> '''<STR_LIT>''' <EOL> PRNG = np . random . RandomState ( self . dataorderseed ) <EOL> obsIDs = PRNG . permutation ( self . Data . nDocTotal ) . tolist ( ) <EOL> obsIDByBatch = dict ( ) <EOL> for batchID in range ( self . nBatch - <NUM_LIT:1> ) : <EOL> obsIDByBatch [ batchID ] = obsIDs [ : self . nObsBatch ] <EOL> del obsIDs [ : self . nObsBatch ] <EOL> obsIDByBatch [ self . nBatch - <NUM_LIT:1> ] = obsIDs <EOL> return obsIDByBatch <EOL> def get_rand_order_for_batchIDs_current_lap ( self ) : <EOL> '''<STR_LIT>''' <EOL> curseed = self . dataorderseed + self . lapID <EOL> PRNG = np . random . RandomState ( curseed ) <EOL> return PRNG . permutation ( self . nBatch ) <EOL> def summarize_num_observations ( self ) : <EOL> s = '<STR_LIT>' % ( self . nBatch , self . nObsBatch ) <EOL> s += '<STR_LIT>' % ( self . Data . nDocTotal ) <EOL> return s </s>
