mirror of https://github.com/VLSIDA/OpenRAM.git
tables stable and flask removed, headers are bugged
This commit is contained in:
Jesse Cirimelli-Low
parent
6033cc604d
commit
e58515b89b
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@ -1,23 +0,0 @@
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from flask_table import *
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class characterization_corners(Table):
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"""
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Set up characterization corners table columns and title information
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"""
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corner_name = Col('Corner Name')
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process = Col('Process')
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power_supply = Col('Power Supply')
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temperature = Col('Temperature')
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library_name_suffix = Col('Library Name Suffix')
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class characterization_corners_item(object):
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"""
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Defines the contents of a charcaterization corner table row
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"""
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def __init__(self, corner_name, process, power_supply, temperature, library_name_suffix):
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self.corner_name = corner_name
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self.process = process
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self.power_supply = power_supply
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self.temperature = temperature
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self.library_name_suffix = library_name_suffix
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@ -1,10 +1,4 @@
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from table_gen import *
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from flask_table import *
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from operating_conditions import *
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from characterization_corners import *
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from deliverables import *
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from timing_and_current_data import *
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from in_out import *
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import os
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import csv
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import base64
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@ -15,11 +9,6 @@ class datasheet():
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Defines the layout,but not the data, of the html datasheet
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"""
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def __init__(self,identifier):
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self.io = []
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self.corners = []
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self.timing = []
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self.operating = []
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self.dlv = []
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self.name = identifier
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self.html = ""
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@ -64,22 +53,24 @@ class datasheet():
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self.html += '<p style="font-size: 18px;font-family: Trebuchet MS, Arial, Helvetica, sans-serif;">'+ 'Git commit id: ' + str(self.git_id) + '</p>'
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self.html +='<p style="font-size: 26px;font-family: Trebuchet MS, Arial, Helvetica, sans-serif;">Ports and Configuration (DEBUG)</p>'
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#self.html += in_out(self.io,table_id='data').__html__().replace('<','<').replace('"','"').replace('>',">")
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# self.html += in_out(self.io,table_id='data').__html__().replace('<','<').replace('"','"').replace('>',">")
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self.html += self.io_table.to_html()
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# for row in self.io_table.rows:
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# print(row)
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self.html +='<p style="font-size: 26px;font-family: Trebuchet MS, Arial, Helvetica, sans-serif;">Operating Conditions</p>'
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self.html += operating_conditions(self.operating,table_id='data').__html__()
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# self.html += operating_conditions(self.operating,table_id='data').__html__()
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self.html += self.operating_table.to_html()
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self.html += '<p style="font-size: 26px;font-family: Trebuchet MS, Arial, Helvetica, sans-serif;">Timing and Current Data</p>'
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self.html += timing_and_current_data(self.timing,table_id='data').__html__()
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# self.html += timing_and_current_data(self.timing,table_id='data').__html__()
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self.html += self.timing_table.to_html()
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self.html += '<p style="font-size: 26px;font-family: Trebuchet MS, Arial, Helvetica, sans-serif;">Characterization Corners</p>'
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self.html += characterization_corners(self.corners,table_id='data').__html__()
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# self.html += characterization_corners(self.corners,table_id='data').__html__()
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self.html += self.corners_table.to_html()
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self.html +='<p style="font-size: 26px;font-family: Trebuchet MS, Arial, Helvetica, sans-serif;">Deliverables</p>'
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self.html += deliverables(self.dlv,table_id='data').__html__().replace('<','<').replace('"','"').replace('>',">")
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# self.html += deliverables(self.dlv,table_id='data').__html__().replace('<','<').replace('"','"').replace('>',">")
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self.html += self.dlv_table.to_html()
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@ -1,35 +1,21 @@
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#!/usr/bin/env python3
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"""
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This is a script to load data from the characterization and layout processes into
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a web friendly html datasheet. This script requres the python-flask and flask-table
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packages to be installed.
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a web friendly html datasheet.
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"""
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#TODO:
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#locate all port elements in .lib
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#Locate all timing elements in .lib
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#include log file
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#Diagram generation
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#Improve css
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import debug
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from globals import OPTS
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if OPTS.datasheet_gen:
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import flask_table
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import os, math
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import optparse
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import csv
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from table_gen import *
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from deliverables import *
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from operating_conditions import *
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from timing_and_current_data import *
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from characterization_corners import *
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from datasheet import *
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from in_out import *
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else:
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debug.warning("Python library flask_table not found. Skipping html datasheet generation. This can be installed with pip install flask-table.")
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#make sure appropriate python libraries are installed
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import os, math
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import optparse
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import csv
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from datasheet import *
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from table_gen import *
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def process_name(corner):
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"""
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@ -120,37 +106,11 @@ def parse_characterizer_csv(sram,f,pages):
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found = 1
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#if the .lib information is for an existing datasheet compare timing data
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for item in sheet.operating:
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#check if the new corner data is worse than the previous worse corner data
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if item.parameter == 'Operating Temperature':
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if float(TEMP) > float(item.max):
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item.typ = item.max
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item.max = TEMP
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if float(TEMP) < float(item.min):
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item.typ = item.min
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item.min = TEMP
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if item.parameter == 'Power supply (VDD) range':
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if float(VOLT) > float(item.max):
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item.typ = item.max
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item.max = VOLT
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if float(VOLT) < float(item.min):
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item.typ = item.min
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item.min = VOLT
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if item.parameter == 'Operating Frequncy (F)':
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try:
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if float(math.floor(1000/float(MIN_PERIOD)) < float(item.max)):
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item.max = str(math.floor(1000/float(MIN_PERIOD)))
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except Exception:
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pass
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#
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for item in sheet.operating_table.rows:
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#check if the new corner data is worse than the previous worse corner data
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if item[0] == 'Operating Temperature':
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if float(TEMP) > float(ite[3]):
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if float(TEMP) > float(item[3]):
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item[2] = item[3]
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item[3] = TEMP
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if float(TEMP) < float(item[1]):
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@ -165,49 +125,51 @@ def parse_characterizer_csv(sram,f,pages):
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item[2] = item[1]
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item[1] = VOLT
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if item.parameter == 'Operating Frequncy (F)':
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if item[0] == 'Operating Frequncy (F)':
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try:
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if float(math.floor(1000/float(MIN_PERIOD)) < float(item[3])):
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item[3] = str(math.floor(1000/float(MIN_PERIOD)))
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except Exception:
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pass
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#
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while(True):
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if(row[col].startswith('DIN')):
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start = col
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for item in sheet.timing:
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if item.parameter.startswith(row[col]):
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for item in sheet.timing_table.rows:
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if item[0].startswith(row[col]):
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if item.parameter.endswith('setup rising'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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if item[0].endswith('setup rising'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('setup falling'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('setup falling'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('hold rising'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('hold rising'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('hold falling'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('hold falling'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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@ -215,38 +177,38 @@ def parse_characterizer_csv(sram,f,pages):
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elif(row[col].startswith('DOUT')):
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start = col
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for item in sheet.timing:
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if item.parameter.startswith(row[col]):
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for item in sheet.timing_table.rows:
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if item[0].startswith(row[col]):
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if item.parameter.endswith('cell rise'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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if item[0].endswith('cell rise'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('cell fall'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('cell fall'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('rise transition'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('rise transition'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('fall transition'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('fall transition'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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@ -254,38 +216,38 @@ def parse_characterizer_csv(sram,f,pages):
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elif(row[col].startswith('CSb')):
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start = col
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for item in sheet.timing:
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if item.parameter.startswith(row[col]):
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for item in sheet.timing_table.rows:
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if item[0].startswith(row[col]):
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if item.parameter.endswith('setup rising'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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if item[0].endswith('setup rising'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('setup falling'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('setup falling'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('hold rising'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('hold rising'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('hold falling'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('hold falling'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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@ -294,38 +256,38 @@ def parse_characterizer_csv(sram,f,pages):
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elif(row[col].startswith('WEb')):
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start = col
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for item in sheet.timing:
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if item.parameter.startswith(row[col]):
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for item in sheet.timing_table.rows:
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if item[0].startswith(row[col]):
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if item.parameter.endswith('setup rising'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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if item[0].endswith('setup rising'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('setup falling'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('setup falling'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('hold rising'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('hold rising'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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elif item.parameter.endswith('hold falling'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
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if float(row[col+2]) > float(item.max):
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item.max = row[col+2]
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elif item[0].endswith('hold falling'):
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if float(row[col+1]) < float(item[1]):
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item[1] = row[col+1]
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if float(row[col+2]) > float(item[2]):
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item[2] = row[col+2]
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col += 2
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@ -334,38 +296,38 @@ def parse_characterizer_csv(sram,f,pages):
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elif(row[col].startswith('ADDR')):
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start = col
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for item in sheet.timing:
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if item.parameter.startswith(row[col]):
|
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for item in sheet.timing_table.rows:
|
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if item[0].startswith(row[col]):
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|
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if item.parameter.endswith('setup rising'):
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if float(row[col+1]) < float(item.min):
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item.min = row[col+1]
|
||||
if float(row[col+2]) > float(item.max):
|
||||
item.max = row[col+2]
|
||||
if item[0].endswith('setup rising'):
|
||||
if float(row[col+1]) < float(item[1]):
|
||||
item[1] = row[col+1]
|
||||
if float(row[col+2]) > float(item[2]):
|
||||
item[2] = row[col+2]
|
||||
|
||||
col += 2
|
||||
|
||||
elif item.parameter.endswith('setup falling'):
|
||||
if float(row[col+1]) < float(item.min):
|
||||
item.min = row[col+1]
|
||||
if float(row[col+2]) > float(item.max):
|
||||
item.max = row[col+2]
|
||||
elif item[0].endswith('setup falling'):
|
||||
if float(row[col+1]) < float(item[1]):
|
||||
item[1] = row[col+1]
|
||||
if float(row[col+2]) > float(item[2]):
|
||||
item[2] = row[col+2]
|
||||
|
||||
col += 2
|
||||
|
||||
elif item.parameter.endswith('hold rising'):
|
||||
if float(row[col+1]) < float(item.min):
|
||||
item.min = row[col+1]
|
||||
if float(row[col+2]) > float(item.max):
|
||||
item.max = row[col+2]
|
||||
elif item[0].endswith('hold rising'):
|
||||
if float(row[col+1]) < float(item[1]):
|
||||
item[1] = row[col+1]
|
||||
if float(row[col+2]) > float(item[2]):
|
||||
item[2] = row[col+2]
|
||||
|
||||
col += 2
|
||||
|
||||
elif item.parameter.endswith('hold falling'):
|
||||
if float(row[col+1]) < float(item.min):
|
||||
item.min = row[col+1]
|
||||
if float(row[col+2]) > float(item.max):
|
||||
item.max = row[col+2]
|
||||
elif item[0].endswith('hold falling'):
|
||||
if float(row[col+1]) < float(item[1]):
|
||||
item[1] = row[col+1]
|
||||
if float(row[col+2]) > float(item[2]):
|
||||
item[2] = row[col+2]
|
||||
|
||||
col += 2
|
||||
|
||||
|
|
@ -377,14 +339,8 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
break
|
||||
|
||||
|
||||
#regardless of if there is already a corner for the current sram, append the new corner to the datasheet
|
||||
new_sheet.corners.append(characterization_corners_item(PROC,process_name(PROC),VOLT,TEMP,LIB_NAME.replace(OUT_DIR,'').replace(NAME,'')))
|
||||
new_sheet.dlv.append(deliverables_item('.lib','Synthesis models','<a href="file://{0}">{1}</a>'.format(LIB_NAME,LIB_NAME.replace(OUT_DIR,''))))
|
||||
|
||||
#
|
||||
new_sheet.corners.add_row([PROC,process_name(PROC),VOLT,TEMP,LIB_NAME.replace(OUT_DIR,'').replace(NAME,'')])
|
||||
new_sheet.dlv.add_row(['.lib','Synthesis models','<a href="file://{0}">{1}</a>'.format(LIB_NAME,LIB_NAME.replace(OUT_DIR,''))])
|
||||
#
|
||||
new_sheet.corners_table.add_row([PROC,process_name(PROC),VOLT,TEMP,LIB_NAME.replace(OUT_DIR,'').replace(NAME,'')])
|
||||
new_sheet.dlv_table.add_row(['.lib','Synthesis models','<a href="file://{0}">{1}</a>'.format(LIB_NAME,LIB_NAME.replace(OUT_DIR,''))])
|
||||
|
||||
if found == 0:
|
||||
|
||||
|
|
@ -398,40 +354,18 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
new_sheet.LVS = LVS
|
||||
new_sheet.description = [NAME, NUM_WORDS, NUM_BANKS, NUM_RW_PORTS, NUM_W_PORTS, NUM_R_PORTS, TECH_NAME, WORD_SIZE, ORIGIN_ID, DATETIME]
|
||||
|
||||
|
||||
|
||||
new_sheet.corners.append(characterization_corners_item(PROC,process_name(PROC),VOLT,TEMP,LIB_NAME.replace(OUT_DIR,'').replace(NAME,'')))
|
||||
|
||||
#
|
||||
new_sheet.corners_table = table_gen("corners")
|
||||
new_sheet.corners_table.add_row([PROC,process_name(PROC),VOLT,TEMP,LIB_NAME.replace(OUT_DIR,'').replace(NAME,'')])
|
||||
#
|
||||
|
||||
new_sheet.operating.append(operating_conditions_item('Power supply (VDD) range',VOLT,VOLT,VOLT,'Volts'))
|
||||
new_sheet.operating.append(operating_conditions_item('Operating Temperature',TEMP,TEMP,TEMP,'Celsius'))
|
||||
|
||||
#
|
||||
new_sheet.operating_table = table_gen("operating_table")
|
||||
new_sheet.operating_table.add_row(['Power supply (VDD) range',VOLT,VOLT,VOLT,'Volts'])
|
||||
new_sheet.operating_table.add_row(['Operating Temperature',TEMP,TEMP,TEMP,'Celsius'])
|
||||
#
|
||||
|
||||
try:
|
||||
new_sheet.operating.append(operating_conditions_item('Operating Frequency (F)','','',str(math.floor(1000/float(MIN_PERIOD))),'MHz'))
|
||||
#
|
||||
new_sheet.operating_table.add_row(['Operating Frequency (F)','','',str(math.floor(1000/float(MIN_PERIOD))),'MHz'])
|
||||
#
|
||||
except Exception:
|
||||
new_sheet.operating.append(operating_conditions_item('Operating Frequency (F)','','',"not available in netlist only",'MHz')) #failed to provide non-zero MIN_PERIOD
|
||||
#
|
||||
new_sheet.operating_table.add_row(['Operating Frequency (F)','','',"not available in netlist only",'MHz']) #failed to provide non-zero MIN_PERIOD
|
||||
#
|
||||
|
||||
#
|
||||
new_sheet.timing_table = table_gen("timing")
|
||||
#
|
||||
while(True):
|
||||
#
|
||||
if(row[col].startswith('DIN')):
|
||||
start = col
|
||||
|
||||
|
|
@ -453,41 +387,6 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
|
||||
col +=1
|
||||
|
||||
#
|
||||
if(row[col].startswith('DIN')):
|
||||
start = col
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} setup rising'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} setup falling'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} hold rising'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} hold falling'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
col +=1
|
||||
|
||||
#
|
||||
|
||||
elif(row[col].startswith('DOUT')):
|
||||
start = col
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} cell rise'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} cell fall'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} rise transition'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} fall transition'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
col +=1
|
||||
#
|
||||
elif(row[col].startswith('DOUT')):
|
||||
start = col
|
||||
|
||||
|
|
@ -509,23 +408,6 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
|
||||
col +=1
|
||||
|
||||
#
|
||||
elif(row[col].startswith('CSb')):
|
||||
start = col
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} setup rising'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} setup falling'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} hold rising'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} hold falling'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
col +=1
|
||||
#
|
||||
elif(row[col].startswith('CSb')):
|
||||
start = col
|
||||
|
||||
|
|
@ -547,23 +429,6 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
|
||||
col +=1
|
||||
|
||||
#
|
||||
elif(row[col].startswith('WEb')):
|
||||
start = col
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} setup rising'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} setup falling'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} hold rising'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} hold falling'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
col +=1
|
||||
#
|
||||
elif(row[col].startswith('WEb')):
|
||||
start = col
|
||||
|
||||
|
|
@ -585,23 +450,6 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
|
||||
col +=1
|
||||
|
||||
#
|
||||
elif(row[col].startswith('ADDR')):
|
||||
start = col
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} setup rising'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} setup falling'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} hold rising'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
new_sheet.timing.append(timing_and_current_data_item('{0} hold falling'.format(row[start]),row[col+1],row[col+2],'ns'))
|
||||
col += 2
|
||||
|
||||
col +=1
|
||||
#
|
||||
elif(row[col].startswith('ADDR')):
|
||||
start = col
|
||||
|
||||
|
|
@ -623,47 +471,26 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
|
||||
col +=1
|
||||
|
||||
#
|
||||
else:
|
||||
break
|
||||
|
||||
|
||||
|
||||
#
|
||||
new_sheet.dlv_table = table_gen("dlv")
|
||||
new_sheet.io_table = table_gen("io")
|
||||
#
|
||||
|
||||
if not OPTS.netlist_only:
|
||||
#physical layout files should not be generated in netlist only mode
|
||||
new_sheet.dlv.append(deliverables_item('.gds','GDSII layout views','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'gds')))
|
||||
new_sheet.dlv.append(deliverables_item('.lef','LEF files','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'lef')))
|
||||
|
||||
new_sheet.dlv_table.add_row(['.gds','GDSII layout views','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'gds')])
|
||||
new_sheet.dlv_table.add_row(['.lef','LEF files','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'lef')])
|
||||
|
||||
|
||||
new_sheet.dlv.append(deliverables_item('.sp','SPICE netlists','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'sp')))
|
||||
new_sheet.dlv.append(deliverables_item('.v','Verilog simulation models','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'v')))
|
||||
new_sheet.dlv.append(deliverables_item('.html','This datasheet','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'html')))
|
||||
new_sheet.dlv.append(deliverables_item('.lib','Synthesis models','<a href="{1}">{1}</a>'.format(LIB_NAME,LIB_NAME.replace(OUT_DIR,''))))
|
||||
new_sheet.dlv.append(deliverables_item('.py','OpenRAM configuration file','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'py')))
|
||||
|
||||
#
|
||||
new_sheet.dlv_table.add_row(['.sp','SPICE netlists','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'sp')])
|
||||
new_sheet.dlv_table.add_row(['.v','Verilog simulation models','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'v')])
|
||||
new_sheet.dlv_table.add_row(['.html','This datasheet','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'html')])
|
||||
new_sheet.dlv_table.add_row(['.lib','Synthesis models','<a href="{1}">{1}</a>'.format(LIB_NAME,LIB_NAME.replace(OUT_DIR,''))])
|
||||
new_sheet.dlv_table.add_row(['.py','OpenRAM configuration file','<a href="{0}.{1}">{0}.{1}</a>'.format(OPTS.output_name,'py')])
|
||||
#
|
||||
|
||||
#debug table for multiport information
|
||||
new_sheet.io.append(in_out_item('WORD_SIZE',WORD_SIZE))
|
||||
new_sheet.io.append(in_out_item('NUM_WORDS',NUM_WORDS))
|
||||
new_sheet.io.append(in_out_item('NUM_BANKS',NUM_BANKS))
|
||||
new_sheet.io.append(in_out_item('NUM_RW_PORTS',NUM_RW_PORTS))
|
||||
new_sheet.io.append(in_out_item('NUM_R_PORTS',NUM_R_PORTS))
|
||||
new_sheet.io.append(in_out_item('NUM_W_PORTS',NUM_W_PORTS))
|
||||
new_sheet.io.append(in_out_item('Area',sram.width * sram.height))
|
||||
|
||||
#
|
||||
new_sheet.io_table.add_row(['WORD_SIZE',WORD_SIZE])
|
||||
new_sheet.io_table.add_row(['NUM_WORDS',NUM_WORDS])
|
||||
new_sheet.io_table.add_row(['NUM_BANKS',NUM_BANKS])
|
||||
|
|
@ -671,7 +498,7 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
new_sheet.io_table.add_row(['NUM_R_PORTS',NUM_R_PORTS])
|
||||
new_sheet.io_table.add_row(['NUM_W_PORTS',NUM_W_PORTS])
|
||||
new_sheet.io_table.add_row(['Area',sram.width * sram.height])
|
||||
#
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
@ -680,18 +507,18 @@ def parse_characterizer_csv(sram,f,pages):
|
|||
class datasheet_gen():
|
||||
def datasheet_write(sram,name):
|
||||
|
||||
if OPTS.datasheet_gen:
|
||||
in_dir = OPTS.openram_temp
|
||||
|
||||
if not (os.path.isdir(in_dir)):
|
||||
os.mkdir(in_dir)
|
||||
|
||||
in_dir = OPTS.openram_temp
|
||||
|
||||
if not (os.path.isdir(in_dir)):
|
||||
os.mkdir(in_dir)
|
||||
|
||||
|
||||
datasheets = []
|
||||
parse_characterizer_csv(sram, in_dir + "/datasheet.info", datasheets)
|
||||
datasheets = []
|
||||
parse_characterizer_csv(sram, in_dir + "/datasheet.info", datasheets)
|
||||
|
||||
|
||||
for sheets in datasheets:
|
||||
with open(name, 'w+') as f:
|
||||
sheets.generate_html()
|
||||
f.write(sheets.html)
|
||||
for sheets in datasheets:
|
||||
with open(name, 'w+') as f:
|
||||
sheets.generate_html()
|
||||
f.write(sheets.html)
|
||||
|
|
|
|||
|
|
@ -1,19 +0,0 @@
|
|||
from flask_table import *
|
||||
|
||||
class deliverables(Table):
|
||||
"""
|
||||
Set up delivarables table columns and title information
|
||||
"""
|
||||
typ = Col('Type')
|
||||
description = Col('Description')
|
||||
link = Col('Link')
|
||||
|
||||
|
||||
class deliverables_item(object):
|
||||
"""
|
||||
Define deliverables table row elemenent information
|
||||
"""
|
||||
def __init__(self, typ, description,link):
|
||||
self.typ = typ
|
||||
self.description = description
|
||||
self.link = link
|
||||
|
|
@ -1,17 +0,0 @@
|
|||
from flask_table import *
|
||||
|
||||
class in_out(Table):
|
||||
"""
|
||||
Set up I/O table columns and title information for multiport debugging
|
||||
"""
|
||||
typ = Col('Type')
|
||||
description = Col('Description')
|
||||
|
||||
|
||||
class in_out_item(object):
|
||||
"""
|
||||
Define table row element for I/O table
|
||||
"""
|
||||
def __init__(self, typ, description):
|
||||
self.typ = typ
|
||||
self.description = description
|
||||
|
|
@ -1,23 +0,0 @@
|
|||
from flask_table import *
|
||||
|
||||
class operating_conditions(Table):
|
||||
"""
|
||||
Set up operating conditions columns and title information
|
||||
"""
|
||||
parameter = Col('Parameter')
|
||||
min = Col('Min')
|
||||
typ = Col('Typ')
|
||||
max = Col('Max')
|
||||
units = Col('Units')
|
||||
|
||||
class operating_conditions_item(object):
|
||||
"""
|
||||
Define operating conditions table row element
|
||||
"""
|
||||
def __init__(self, parameter, min, typ, max, units):
|
||||
self.parameter = parameter
|
||||
self.min = min
|
||||
self.typ = typ
|
||||
self.max = max
|
||||
self.units = units
|
||||
|
||||
|
|
@ -1,22 +0,0 @@
|
|||
from flask_table import *
|
||||
|
||||
class timing_and_current_data(Table):
|
||||
"""
|
||||
Set up timing and current table columns and title information
|
||||
"""
|
||||
parameter = Col('Parameter')
|
||||
min = Col('Min')
|
||||
max = Col('Max')
|
||||
units = Col('Units')
|
||||
|
||||
class timing_and_current_data_item(object):
|
||||
"""
|
||||
Define timing and current data row element
|
||||
"""
|
||||
def __init__(self, parameter, min, max, units):
|
||||
self.parameter = parameter
|
||||
self.min = min
|
||||
self.max = max
|
||||
self.units = units
|
||||
|
||||
|
||||
|
|
@ -107,13 +107,7 @@ def check_versions():
|
|||
# FIXME: Check versions of other tools here??
|
||||
# or, this could be done in each module (e.g. verify, characterizer, etc.)
|
||||
global OPTS
|
||||
|
||||
try:
|
||||
import flask_table
|
||||
OPTS.datasheet_gen = 1
|
||||
except:
|
||||
OPTS.datasheet_gen = 0
|
||||
|
||||
|
||||
try:
|
||||
import coverage
|
||||
OPTS.coverage = 1
|
||||
|
|
|
|||
|
|
@ -47,9 +47,7 @@ c = sram_config(word_size=OPTS.word_size,
|
|||
print("Words per row: {}".format(c.words_per_row))
|
||||
|
||||
#from parser import *
|
||||
output_extensions = ["sp","v","lib","py"]
|
||||
if OPTS.datasheet_gen:
|
||||
output_extensions.append("html")
|
||||
output_extensions = ["sp","v","lib","py","html"]
|
||||
if not OPTS.netlist_only:
|
||||
output_extensions.extend(["gds","lef"])
|
||||
output_files = ["{0}.{1}".format(OPTS.output_name,x) for x in output_extensions]
|
||||
|
|
|
|||
Loading…
Reference in New Issue