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						be5836bee1
					
				
					 1 changed files with 12 additions and 7 deletions
				
			
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			@ -30,6 +30,10 @@ def highlight_vals(val, max=3.0, color1='red', color2='green'):
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    else:
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        return ''
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def nonzero_min(lst):
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    non_zero_lst = [num for num in lst if num >= 0.0]
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    return min(non_zero_lst) if non_zero_lst else None
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def is_diffs_within_normal_range(diff1, diff2, threshold=5.0):
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    return not any(diff < (-threshold) for diff in diff1 + diff2 if isinstance(diff, float))
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			@ -40,8 +44,8 @@ def add_to_dict(dict, key, value):
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def best_in_dict(dict, key, value):
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    if key in dict:
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        best_value=min(dict[key])
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        if best_value < value:
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        best_value = nonzero_min(dict[key])
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        if best_value < value or value <= 0.0:
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            return best_value
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        return value
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    return value
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			@ -129,11 +133,12 @@ def main():
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                    previous_1st_token_latency=previous_csv_row[latency_1st_token]
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                    previous_2_avg_latency=previous_csv_row[latency_2_avg]
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                    last1[latest_csv_ind]=previous_1st_token_latency
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                    diff1[latest_csv_ind]=round((previous_1st_token_latency-latest_1st_token_latency)*100/previous_1st_token_latency,2)
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                    last2[latest_csv_ind]=previous_2_avg_latency
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                    diff2[latest_csv_ind]=round((previous_2_avg_latency-latest_2_avg_latency)*100/previous_2_avg_latency,2)
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                    in_previous_flag=True
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                    if previous_1st_token_latency > 0.0 and previous_2_avg_latency > 0.0:
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                        last1[latest_csv_ind]=previous_1st_token_latency
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                        diff1[latest_csv_ind]=round((previous_1st_token_latency-latest_1st_token_latency)*100/previous_1st_token_latency,2)
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                        last2[latest_csv_ind]=previous_2_avg_latency
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                        diff2[latest_csv_ind]=round((previous_2_avg_latency-latest_2_avg_latency)*100/previous_2_avg_latency,2)
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                        in_previous_flag=True
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            if not in_previous_flag:
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                last1[latest_csv_ind]=pd.NA
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