datasheet now indicates if analytical or characterizer is used

compiler/characterizer/lib.py

@@ -526,7 +526,7 @@ class lib:
         datasheet = open(OPTS.openram_temp +'/datasheet.info', 'a+')
 
         current_time = datetime.date.today()
-        datasheet.write("{0},{1},{2},{3},{4},{5},{6},{7},{8},{9},{10},{11},{12},{13},{14},{15},".format(
+        datasheet.write("{0},{1},{2},{3},{4},{5},{6},{7},{8},{9},{10},{11},{12},{13},{14},{15},{16},".format(
                         OPTS.output_name,
                         OPTS.num_words,
                         OPTS.num_banks,
@@ -542,7 +542,8 @@ class lib:
                         lib_name,
                         OPTS.word_size,
                         git_id,
-                        current_time
+                        current_time,
+                        OPTS.analytical_delay
                         ))
 
         # information of checks

compiler/datasheet/datasheet.py

@@ -59,6 +59,12 @@ class datasheet():
         self.html += self.operating_table.to_html()
 
         self.html += '<p style="font-size: 26px;font-family: Trebuchet MS, Arial, Helvetica, sans-serif;">Timing and Current Data</p>'
+        model = ''
+        if self.ANALYTICAL_MODEL:
+            model = "analytical model: results may not be percise"
+        else:
+            model = "spice characterizer"
+        self.html += '<p style="font-size: 26px;font-family: Trebuchet MS, Arial, Helvetica, sans-serif;">Using '+model+'</p>'
 #        self.html += timing_and_current_data(self.timing,table_id='data').__html__()
         self.html += self.timing_table.to_html()
 

compiler/datasheet/datasheet_gen.py

@@ -115,6 +115,10 @@ def parse_characterizer_csv(f, pages):
 
             AREA = row[col]
             col += 1
+
+            ANALYTICAL_MODEL = row[col]
+            col += 1
+
             for sheet in pages:
 
                 if sheet.name == NAME:
@@ -365,6 +369,7 @@ def parse_characterizer_csv(f, pages):
                 new_sheet.time = DATETIME
                 new_sheet.DRC = DRC
                 new_sheet.LVS = LVS
+                new_sheet.ANALYTICAL_MODEL = ANALYTICAL_MODEL
                 new_sheet.description = [NAME, NUM_WORDS, NUM_BANKS, NUM_RW_PORTS, NUM_W_PORTS,
                                          NUM_R_PORTS, TECH_NAME, MIN_PERIOD, WORD_SIZE, ORIGIN_ID, DATETIME]