getting_started/synth_data.py [38:69]:
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class DailyPattern:
    
    def __init__( self ):
        self.peak_size = random.uniform( *daily_peak_size_range )
        self.peak_time = random.uniform( *daily_peak_time )
        self.offset = random.uniform( *daily_offset_range )
    
    def get( self, t ):
        
        minutes_in_day = t.hour * 60 + t.minute
        
        factor1 = math.cos( (( minutes_in_day - self.peak_time ) / ( 24 * 60 )) * 2 * math.pi ) * self.peak_size + self.peak_size + self.offset
        
        return factor1

class RandomFactor:
    
    def __init__( self ):
        self.size = random.uniform( *random_factor_size_range )

    def get(self):
        return random.uniform( -self.size, self.size )


class Anomaly:
    
    def __init__(self):
        self.remaining_time = random.randint( *anomaly_length_range )
        self.offset = random.uniform( *anomaly_size_range ) * (random.randint(0,1)*2-1)
        #print( self.offset )

    def proceed_time(self):
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next_steps/kinesis_stream_connector/l4m_detector/src/synth_live_data_csv.py [52:75]:
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class DailyPattern:  
    def __init__( self ):
        self.peak_size = random.uniform( *daily_peak_size_range )
        self.peak_time = random.uniform( *daily_peak_time )
        self.offset = random.uniform( *daily_offset_range )
    
    def get( self, t ):
        minutes_in_day = t.hour * 60 + t.minute
        factor1 = math.cos( (( minutes_in_day - self.peak_time ) / ( 24 * 60 )) * 2 * math.pi ) * self.peak_size + self.peak_size + self.offset
        return factor1

class RandomFactor:
    def __init__( self ):
        self.size = random.uniform( *random_factor_size_range )

    def get(self):
        return random.uniform( -self.size, self.size )

class Anomaly:
    def __init__(self):
        self.remaining_time = random.randint( *anomaly_length_range )
        self.offset = random.uniform( *anomaly_size_range ) * (random.randint(0,1)*2-1)

    def proceed_time(self):
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