Commit fbf5fddb authored by Andrey Filippov's avatar Andrey Filippov
Browse files

adding measurement of DQ_ODELAY vs DQS_ODELAY

parent 1417d17e

py393/x393_lma.py

+19 −19
Original line number Original line Diff line number Diff line
@@ -166,7 +166,7 @@ class X393LMA(object): 
        use np.nan instead of the None data

        use np.nan instead of the None data

        np.isnan() test

        np.isnan() test

        , dtype=np.float

        , dtype=np.float

        @compare_prim_steps while scanning, compare this delay with 1 less by primary(not fine) step,

        @param compare_prim_steps while scanning, compare this delay with 1 less by primary(not fine) step,

                            save None for fraction in unknown (previous -0.5, next +0.5)

                            save None for fraction in unknown (previous -0.5, next +0.5)

        """

        """

        halfStep=0.5

        halfStep=0.5
@@ -546,15 +546,15 @@ class X393LMA(object): 
        each of 2x2 elements (DQ delay values) or null

        each of 2x2 elements (DQ delay values) or null

        Create data set template - for each DQS delay and inPhase

        Create data set template - for each DQS delay and inPhase

         - branch - number of full periods to add

         - branch - number of full periods to add

        @lane          byte lane to process 

        @param lane          byte lane to process 

        @bin_size     bin size for the histograms (should be 5/10/20/40)

        @param bin_size     bin size for the histograms (should be 5/10/20/40)

        @clk_period   SDCLK period in ps

        @param clk_period   SDCLK period in ps

        @dly_step_ds  IDELAY step (from the datasheet)

        @param dly_step_ds  IDELAY step (from the datasheet)

        @primary_set  which of the data edge series to use as leading (other will be trailing by 180) 

        @param primary_set  which of the data edge series to use as leading (other will be trailing by 180) 

        @data_set     measured data set

        @param data_set     measured data set

        @compare_prim_steps while scanning, compare this delay with 1 less by primary(not fine) step,

        @param compare_prim_steps while scanning, compare this delay with 1 less by primary(not fine) step,

                            save None for fraction in unknown (previous -0.5, next +0.5)

                            save None for fraction in unknown (previous -0.5, next +0.5)

        @quiet        reduce output   

        @param quiet        reduce output   

        """

        """

        num_hist_steps=2*((DLY_STEPS+bin_size-1)//bin_size)

        num_hist_steps=2*((DLY_STEPS+bin_size-1)//bin_size)
@@ -756,7 +756,7 @@ class X393LMA(object): 
                         hist_estimated,

                         hist_estimated,

                         quiet=1): 

                         quiet=1): 

        """

        """

        @compare_prim_steps while scanning, compare this delay with 1 less by primary(not fine) step,

        @param compare_prim_steps while scanning, compare this delay with 1 less by primary(not fine) step,

                            save None for fraction in unknown (previous -0.5, next +0.5)

                            save None for fraction in unknown (previous -0.5, next +0.5)

        

        

        """                      

        """
@@ -864,16 +864,16 @@ class X393LMA(object): 
        After initial parametersn are created - run LMA to find optimal ones,

        After initial parametersn are created - run LMA to find optimal ones,

        then return up to 3 varints (early, nominal, late) providing the best

        then return up to 3 varints (early, nominal, late) providing the best

        DQ input delay for each DQS one

        DQ input delay for each DQS one

        @lane         byte lane to process (or non-number - process all byte lanes of the device) 

        @param lane         byte lane to process (or non-number - process all byte lanes of the device) 

        @bin_size     bin size for the histograms (should be 5/10/20/40)

        @param bin_size     bin size for the histograms (should be 5/10/20/40)

        @clk_period   SDCLK period in ps

        @param clk_period   SDCLK period in ps

        @dly_step_ds  IDELAY step (from the datasheet)

        @param dly_step_ds  IDELAY step (from the datasheet)

        @primary_set  which of the data edge series to use as leading (other will be trailing by 180) 

        @param primary_set  which of the data edge series to use as leading (other will be trailing by 180) 

        @data_set     measured data set

        @param data_set     measured data set

        @compare_prim_steps while scanning, compare this delay with 1 less by primary(not fine) step,

        @param compare_prim_steps while scanning, compare this delay with 1 less by primary(not fine) step,

                            save None for fraction in unknown (previous -0.5, next +0.5)

                            save None for fraction in unknown (previous -0.5, next +0.5)

        @scale_w        weight for "uncertain" values (where samples chane from all 0 to all 1 in one step)

        @param scale_w        weight for "uncertain" values (where samples chane from all 0 to all 1 in one step)

        @quiet        reduce output

        @param quiet        reduce output

        @return 3-element dictionary of ('early','nominal','late'), each being None or a 160-element list,

        @return 3-element dictionary of ('early','nominal','late'), each being None or a 160-element list,

                each element being either None, or a list of 3 best DQ delay values for the DQS delay (some mey be None too) 

                each element being either None, or a list of 3 best DQ delay values for the DQS delay (some mey be None too) 

        """

        """