561 lines
25 KiB
Python
Executable file
561 lines
25 KiB
Python
Executable file
#!/usr/bin/env python
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#
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# esp-idf alternative to "size" to print ELF file sizes, also analyzes
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# the linker map file to dump higher resolution details.
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#
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# Includes information which is not shown in "xtensa-esp32-elf-size",
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# or easy to parse from "xtensa-esp32-elf-objdump" or raw map files.
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#
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# Copyright 2017-2020 Espressif Systems (Shanghai) PTE LTD
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from __future__ import print_function
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from __future__ import unicode_literals
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from __future__ import division
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from future.utils import iteritems
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import argparse
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import collections
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import json
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import os.path
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import re
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import sys
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DEFAULT_TOOLCHAIN_PREFIX = "xtensa-esp32-elf-"
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GLOBAL_JSON_INDENT = 4
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GLOBAL_JSON_SEPARATORS = (',', ': ')
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class MemRegions(object):
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(DRAM_ID, IRAM_ID, DIRAM_ID) = range(3)
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@staticmethod
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def get_mem_regions(target):
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# The target specific memory structure is deduced from soc_memory_types defined in
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# $IDF_PATH/components/soc/**/soc_memory_layout.c files.
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# The order of variables in the tuple is the same as in the soc_memory_layout.c files
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MemRegDef = collections.namedtuple('MemRegDef', ['primary_addr', 'length', 'type', 'secondary_addr'])
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if target == 'esp32':
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return sorted([
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# Consecutive MemRegDefs of the same type are joined into one MemRegDef
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MemRegDef(0x3FFAE000, 17 * 0x2000 + 4 * 0x8000 + 4 * 0x4000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFAE000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFB0000, 0x8000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFB8000, 0x8000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFC0000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFC2000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFC4000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFC6000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFC8000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFCA000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFCC000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFCE000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFD0000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFD2000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFD4000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFD6000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFD8000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFDA000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFDC000, 0x2000, MemRegions.DRAM_ID, 0),
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# MemRegDef(0x3FFDE000, 0x2000, MemRegions.DRAM_ID, 0),
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#
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# The bootloader is there and it has to been counted as DRAM
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# MemRegDef(0x3FFE0000, 0x4000, MemRegions.DIRAM_ID, 0x400BC000),
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# MemRegDef(0x3FFE4000, 0x4000, MemRegions.DIRAM_ID, 0x400B8000),
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# MemRegDef(0x3FFE8000, 0x8000, MemRegions.DIRAM_ID, 0x400B0000),
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# MemRegDef(0x3FFF0000, 0x8000, MemRegions.DIRAM_ID, 0x400A8000),
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# MemRegDef(0x3FFF8000, 0x4000, MemRegions.DIRAM_ID, 0x400A4000),
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# MemRegDef(0x3FFFC000, 0x4000, MemRegions.DIRAM_ID, 0x400A0000),
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#
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MemRegDef(0x40070000, 2 * 0x8000 + 16 * 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40070000, 0x8000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40078000, 0x8000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40080000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40082000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40084000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40086000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40088000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x4008A000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x4008C000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x4008E000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40090000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40092000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40094000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40096000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x40098000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x4009A000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x4009C000, 0x2000, MemRegions.IRAM_ID, 0),
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# MemRegDef(0x4009E000, 0x2000, MemRegions.IRAM_ID, 0),
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])
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elif target == 'esp32s2':
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return sorted([
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MemRegDef(0x3FFB2000, 3 * 0x2000 + 18 * 0x4000, MemRegions.DIRAM_ID, 0x40022000),
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# MemRegDef(0x3FFB2000, 0x2000, MemRegions.DIRAM_ID, 0x40022000),
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# MemRegDef(0x3FFB4000, 0x2000, MemRegions.DIRAM_ID, 0x40024000),
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# MemRegDef(0x3FFB6000, 0x2000, MemRegions.DIRAM_ID, 0x40026000),
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# MemRegDef(0x3FFB8000, 0x4000, MemRegions.DIRAM_ID, 0x40028000),
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# MemRegDef(0x3FFBC000, 0x4000, MemRegions.DIRAM_ID, 0x4002C000),
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# MemRegDef(0x3FFC0000, 0x4000, MemRegions.DIRAM_ID, 0x40030000),
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# MemRegDef(0x3FFC4000, 0x4000, MemRegions.DIRAM_ID, 0x40034000),
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# MemRegDef(0x3FFC8000, 0x4000, MemRegions.DIRAM_ID, 0x40038000),
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# MemRegDef(0x3FFCC000, 0x4000, MemRegions.DIRAM_ID, 0x4003C000),
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# MemRegDef(0x3FFD0000, 0x4000, MemRegions.DIRAM_ID, 0x40040000),
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# MemRegDef(0x3FFD4000, 0x4000, MemRegions.DIRAM_ID, 0x40044000),
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# MemRegDef(0x3FFD8000, 0x4000, MemRegions.DIRAM_ID, 0x40048000),
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# MemRegDef(0x3FFDC000, 0x4000, MemRegions.DIRAM_ID, 0x4004C000),
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# MemRegDef(0x3FFE0000, 0x4000, MemRegions.DIRAM_ID, 0x40050000),
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#
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# MemRegDef(0x3FFE4000, 0x4000, MemRegions.DIRAM_ID, 0x40054000),
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# MemRegDef(0x3FFE8000, 0x4000, MemRegions.DIRAM_ID, 0x40058000),
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# MemRegDef(0x3FFEC000, 0x4000, MemRegions.DIRAM_ID, 0x4005C000),
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# MemRegDef(0x3FFF0000, 0x4000, MemRegions.DIRAM_ID, 0x40060000),
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# MemRegDef(0x3FFF4000, 0x4000, MemRegions.DIRAM_ID, 0x40064000),
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# MemRegDef(0x3FFF8000, 0x4000, MemRegions.DIRAM_ID, 0x40068000),
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# MemRegDef(0x3FFFC000, 0x4000, MemRegions.DIRAM_ID, 0x4006C000),
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])
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else:
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return None
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def __init__(self, target):
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self.chip_mem_regions = self.get_mem_regions(target)
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if not self.chip_mem_regions:
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raise RuntimeError('Target {} is not implemented in idf_size'.format(target))
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def _address_in_range(self, address, length, reg_address, reg_length):
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return address >= reg_address and (address - reg_address) <= (reg_length - length)
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def get_names(self, dictionary, region_id):
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def get_address(d):
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try:
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return d['address']
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except KeyError:
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return d['origin']
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def get_size(d):
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try:
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return d['size']
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except KeyError:
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return d['length']
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result = set() # using a set will remove possible duplicates and consequent operations with sets are more
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# efficient
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for m in self.chip_mem_regions:
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if m.type != region_id:
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continue
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# the following code is intentionally not a one-liner for better readability
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for (n, c) in iteritems(dictionary):
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if (self._address_in_range(get_address(c), get_size(c), m.primary_addr, m.length) or
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(m.type == self.DIRAM_ID and
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self._address_in_range(get_address(c), get_size(c), m.secondary_addr, m.length))):
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result.add(n)
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return result
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def scan_to_header(f, header_line):
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""" Scan forward in a file until you reach 'header_line', then return """
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for line in f:
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if line.strip() == header_line:
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return
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raise RuntimeError("Didn't find line '%s' in file" % header_line)
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def format_json(json_object):
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return json.dumps(json_object, indent=GLOBAL_JSON_INDENT, separators=GLOBAL_JSON_SEPARATORS) + "\n"
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def load_map_data(map_file):
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memory_config = load_memory_config(map_file)
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sections = load_sections(map_file)
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return memory_config, sections
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def load_memory_config(map_file):
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""" Memory Configuration section is the total size of each output section """
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result = {}
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scan_to_header(map_file, "Memory Configuration")
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RE_MEMORY_SECTION = re.compile(r"(?P<name>[^ ]+) +0x(?P<origin>[\da-f]+) +0x(?P<length>[\da-f]+)")
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for line in map_file:
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m = RE_MEMORY_SECTION.match(line)
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if m is None:
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if len(result) == 0:
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continue # whitespace or a header, before the content we want
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else:
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return result # we're at the end of the Memory Configuration
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section = {
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"name": m.group("name"),
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"origin": int(m.group("origin"), 16),
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"length": int(m.group("length"), 16),
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}
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if section["name"] != "*default*":
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result[section["name"]] = section
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raise RuntimeError("End of file while scanning memory configuration?")
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def load_sections(map_file):
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""" Load section size information from the MAP file.
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Returns a dict of 'sections', where each key is a section name and the value
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is a dict with details about this section, including a "sources" key which holds a list of source file line
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information for each symbol linked into the section.
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"""
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scan_to_header(map_file, "Linker script and memory map")
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# output section header, ie '.iram0.text 0x0000000040080400 0x129a5'
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RE_SECTION_HEADER = re.compile(r"(?P<name>[^ ]+) +0x(?P<address>[\da-f]+) +0x(?P<size>[\da-f]+)$")
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# source file line, ie
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# 0x0000000040080400 0xa4 /home/gus/esp/32/idf/examples/get-started/hello_world/build/esp32/libesp32.a(cpu_start.o)
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# cmake build system links some object files directly, not part of any archive, so make that part optional
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# .xtensa.info 0x0000000000000000 0x38 CMakeFiles/hello-world.elf.dir/project_elf_src.c.obj
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RE_SOURCE_LINE = re.compile(r"\s*(?P<sym_name>\S*) +0x(?P<address>[\da-f]+) +0x(?P<size>[\da-f]+) (?P<archive>.+\.a)?\(?(?P<object_file>.+\.(o|obj))\)?")
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# Fast check to see if line is a potential source line before running the slower full regex against it
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RE_PRE_FILTER = re.compile(r".*\.(o|obj)\)?")
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# Check for lines which only contain the sym name (and rest is on following lines)
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RE_SYMBOL_ONLY_LINE = re.compile(r"^ (?P<sym_name>\S*)$")
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sections = {}
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section = None
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sym_backup = None
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for line in map_file:
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if line.strip() == "Cross Reference Table":
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# stop processing lines because we are at the next section in the map file
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break
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m = RE_SECTION_HEADER.match(line)
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if m is not None: # start of a new section
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section = {
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"name": m.group("name"),
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"address": int(m.group("address"), 16),
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"size": int(m.group("size"), 16),
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"sources": [],
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}
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sections[section["name"]] = section
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continue
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if section is not None:
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m = RE_SYMBOL_ONLY_LINE.match(line)
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if m is not None:
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# In some cases the section name appears on the previous line, back it up in here
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sym_backup = m.group("sym_name")
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continue
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if not RE_PRE_FILTER.match(line):
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# line does not match our quick check, so skip to next line
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continue
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m = RE_SOURCE_LINE.match(line)
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if m is not None: # input source file details=ma,e
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sym_name = m.group("sym_name") if len(m.group("sym_name")) > 0 else sym_backup
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archive = m.group("archive")
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if archive is None:
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# optional named group "archive" was not matched, so assign a value to it
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archive = "(exe)"
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source = {
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"size": int(m.group("size"), 16),
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"address": int(m.group("address"), 16),
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"archive": os.path.basename(archive),
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"object_file": os.path.basename(m.group("object_file")),
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"sym_name": sym_name,
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}
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source["file"] = "%s:%s" % (source["archive"], source["object_file"])
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section["sources"] += [source]
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return sections
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def sizes_by_key(sections, key):
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""" Takes a dict of sections (from load_sections) and returns
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a dict keyed by 'key' with aggregate output size information.
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Key can be either "archive" (for per-archive data) or "file" (for per-file data) in the result.
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"""
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result = {}
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for section in sections.values():
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for s in section["sources"]:
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if not s[key] in result:
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result[s[key]] = {}
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archive = result[s[key]]
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if not section["name"] in archive:
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archive[section["name"]] = 0
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archive[section["name"]] += s["size"]
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return result
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def main():
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parser = argparse.ArgumentParser(description="idf_size - a tool to print size information from an IDF MAP file")
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parser.add_argument(
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# FIXME: toolchain is not used
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'--toolchain-prefix',
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help="Triplet prefix to add before objdump executable",
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default=DEFAULT_TOOLCHAIN_PREFIX)
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parser.add_argument(
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'--json',
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help="Output results as JSON",
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action="store_true")
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parser.add_argument(
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'map_file', help='MAP file produced by linker',
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type=argparse.FileType('r'))
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parser.add_argument(
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'--archives', help='Print per-archive sizes', action='store_true')
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parser.add_argument(
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'--archive_details', help='Print detailed symbols per archive')
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parser.add_argument(
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'--files', help='Print per-file sizes', action='store_true')
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parser.add_argument(
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'--target', help='Set target chip', default='esp32')
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parser.add_argument(
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'-o',
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'--output-file',
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type=argparse.FileType('w'),
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default=sys.stdout,
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help="Print output to the specified file instead of stdout")
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args = parser.parse_args()
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mem_regions = MemRegions(args.target)
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output = ""
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memory_config, sections = load_map_data(args.map_file)
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MemRegNames = collections.namedtuple('MemRegNames', ['iram_names', 'dram_names', 'diram_names', 'used_iram_names',
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'used_dram_names', 'used_diram_names'])
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mem_reg = MemRegNames
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mem_reg.iram_names = mem_regions.get_names(memory_config, MemRegions.IRAM_ID)
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mem_reg.dram_names = mem_regions.get_names(memory_config, MemRegions.DRAM_ID)
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mem_reg.diram_names = mem_regions.get_names(memory_config, MemRegions.DIRAM_ID)
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mem_reg.used_iram_names = mem_regions.get_names(sections, MemRegions.IRAM_ID)
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mem_reg.used_dram_names = mem_regions.get_names(sections, MemRegions.DRAM_ID)
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mem_reg.used_diram_names = mem_regions.get_names(sections, MemRegions.DIRAM_ID)
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if not args.json or not (args.archives or args.files or args.archive_details):
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output += get_summary(mem_reg, memory_config, sections, args.json)
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if args.archives:
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output += get_detailed_sizes(mem_reg, sections, "archive", "Archive File", args.json)
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if args.files:
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output += get_detailed_sizes(mem_reg, sections, "file", "Object File", args.json)
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if args.archive_details:
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output += get_archive_symbols(mem_reg, sections, args.archive_details, args.json)
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args.output_file.write(output)
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def get_summary(mem_reg, memory_config, sections, as_json=False):
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def get_size(section):
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try:
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return sections[section]["size"]
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except KeyError:
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return 0
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dram_data_names = frozenset([n for n in mem_reg.used_dram_names if n.endswith('.data')])
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dram_bss_names = frozenset([n for n in mem_reg.used_dram_names if n.endswith('.bss')])
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dram_other_names = mem_reg.used_dram_names - dram_data_names - dram_bss_names
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diram_data_names = frozenset([n for n in mem_reg.used_diram_names if n.endswith('.data')])
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diram_bss_names = frozenset([n for n in mem_reg.used_diram_names if n.endswith('.bss')])
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total_iram = sum(memory_config[n]["length"] for n in mem_reg.iram_names)
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total_dram = sum(memory_config[n]["length"] for n in mem_reg.dram_names)
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total_diram = sum(memory_config[n]["length"] for n in mem_reg.diram_names)
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used_dram_data = sum(get_size(n) for n in dram_data_names)
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used_dram_bss = sum(get_size(n) for n in dram_bss_names)
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used_dram_other = sum(get_size(n) for n in dram_other_names)
|
|
used_dram = used_dram_data + used_dram_bss + used_dram_other
|
|
try:
|
|
used_dram_ratio = used_dram / total_dram
|
|
except ZeroDivisionError:
|
|
used_dram_ratio = float('nan')
|
|
|
|
used_iram = sum(get_size(s) for s in sections if s in mem_reg.used_iram_names)
|
|
try:
|
|
used_iram_ratio = used_iram / total_iram
|
|
except ZeroDivisionError:
|
|
used_iram_ratio = float('nan')
|
|
|
|
used_diram_data = sum(get_size(n) for n in diram_data_names)
|
|
used_diram_bss = sum(get_size(n) for n in diram_bss_names)
|
|
used_diram = sum(get_size(n) for n in mem_reg.used_diram_names)
|
|
try:
|
|
used_diram_ratio = used_diram / total_diram
|
|
except ZeroDivisionError:
|
|
used_diram_ratio = float('nan')
|
|
|
|
flash_code = get_size(".flash.text")
|
|
flash_rodata = get_size(".flash.rodata")
|
|
total_size = used_dram + used_iram + used_diram + flash_code + flash_rodata
|
|
|
|
output = ""
|
|
if as_json:
|
|
output = format_json(collections.OrderedDict([
|
|
("dram_data", used_dram_data + used_diram_data),
|
|
("dram_bss", used_dram_bss + used_diram_bss),
|
|
("dram_other", used_dram_other),
|
|
("used_dram", used_dram),
|
|
("available_dram", total_dram - used_dram),
|
|
("used_dram_ratio", used_dram_ratio if total_dram != 0 else 0),
|
|
("used_iram", used_iram),
|
|
("available_iram", total_iram - used_iram),
|
|
("used_iram_ratio", used_iram_ratio if total_iram != 0 else 0),
|
|
("used_diram", used_diram),
|
|
("available_diram", total_diram - used_diram),
|
|
("used_diram_ratio", used_diram_ratio if total_diram != 0 else 0),
|
|
("flash_code", flash_code),
|
|
("flash_rodata", flash_rodata),
|
|
("total_size", total_size)
|
|
]))
|
|
else:
|
|
output += "Total sizes:\n"
|
|
output += " DRAM .data size: {:>7} bytes\n".format(used_dram_data + used_diram_data)
|
|
output += " DRAM .bss size: {:>7} bytes\n".format(used_dram_bss + used_diram_bss)
|
|
if used_dram_other > 0:
|
|
output += " DRAM other size: {:>7} bytes ({})\n".format(used_dram_other, ', '.join(dram_other_names))
|
|
output += "Used static DRAM: {:>7} bytes ({:>7} available, {:.1%} used)\n".format(
|
|
used_dram, total_dram - used_dram, used_dram_ratio)
|
|
output += "Used static IRAM: {:>7} bytes ({:>7} available, {:.1%} used)\n".format(
|
|
used_iram, total_iram - used_iram, used_iram_ratio)
|
|
if total_diram > 0:
|
|
output += "Used stat D/IRAM: {:>7} bytes ({:>7} available, {:.1%} used)\n".format(
|
|
used_diram, total_diram - used_diram, used_diram_ratio)
|
|
output += " Flash code: {:>7} bytes\n".format(flash_code)
|
|
output += " Flash rodata: {:>7} bytes\n".format(flash_rodata)
|
|
output += "Total image size:~{:>7} bytes (.bin may be padded larger)\n".format(total_size)
|
|
|
|
return output
|
|
|
|
|
|
def get_detailed_sizes(mem_reg, sections, key, header, as_json=False):
|
|
sizes = sizes_by_key(sections, key)
|
|
|
|
# these sets are also computed in get_summary() but they are small ones so it should not matter
|
|
dram_data_names = frozenset([n for n in mem_reg.used_dram_names if n.endswith('.data')])
|
|
dram_bss_names = frozenset([n for n in mem_reg.used_dram_names if n.endswith('.bss')])
|
|
dram_other_names = mem_reg.used_dram_names - dram_data_names - dram_bss_names
|
|
|
|
diram_data_names = frozenset([n for n in mem_reg.used_diram_names if n.endswith('.data')])
|
|
diram_bss_names = frozenset([n for n in mem_reg.used_diram_names if n.endswith('.bss')])
|
|
|
|
result = {}
|
|
for k in sizes:
|
|
v = sizes[k]
|
|
r = collections.OrderedDict()
|
|
r["data"] = sum(v.get(n, 0) for n in dram_data_names | diram_data_names)
|
|
r["bss"] = sum(v.get(n, 0) for n in dram_bss_names | diram_bss_names)
|
|
r["other"] = sum(v.get(n, 0) for n in dram_other_names)
|
|
r["iram"] = sum(t for (s,t) in iteritems(v) if s in mem_reg.used_iram_names)
|
|
r["diram"] = sum(t for (s,t) in iteritems(v) if s in mem_reg.used_diram_names)
|
|
r["flash_text"] = v.get(".flash.text", 0)
|
|
r["flash_rodata"] = v.get(".flash.rodata", 0)
|
|
r["total"] = sum(r.values())
|
|
result[k] = r
|
|
|
|
s = sorted(list(result.items()), key=lambda elem: elem[0])
|
|
# do a secondary sort in order to have consistent order (for diff-ing the output)
|
|
s = sorted(s, key=lambda elem: elem[1]['total'], reverse=True)
|
|
|
|
output = ""
|
|
|
|
if as_json:
|
|
output = format_json(collections.OrderedDict(s))
|
|
else:
|
|
header_format = "{:>24} {:>10} {:>6} {:>7} {:>6} {:>8} {:>10} {:>8} {:>7}\n"
|
|
|
|
output += "Per-{} contributions to ELF file:\n".format(key)
|
|
output += header_format.format(header,
|
|
"DRAM .data",
|
|
"& .bss",
|
|
"& other",
|
|
"IRAM",
|
|
"D/IRAM",
|
|
"Flash code",
|
|
"& rodata",
|
|
"Total")
|
|
|
|
for k,v in s:
|
|
if ":" in k: # print subheadings for key of format archive:file
|
|
sh,k = k.split(":")
|
|
output += header_format.format(k[:24],
|
|
v["data"],
|
|
v["bss"],
|
|
v["other"],
|
|
v["iram"],
|
|
v["diram"],
|
|
v["flash_text"],
|
|
v["flash_rodata"],
|
|
v["total"])
|
|
|
|
return output
|
|
|
|
|
|
def get_archive_symbols(mem_reg, sections, archive, as_json=False):
|
|
interested_sections = mem_reg.used_dram_names | mem_reg.used_iram_names | mem_reg.used_diram_names
|
|
interested_sections |= frozenset([".flash.text", ".flash.rodata"])
|
|
# sort the list for consistent order in the output
|
|
interested_sections = sorted(list(interested_sections))
|
|
result = {}
|
|
for t in interested_sections:
|
|
result[t] = {}
|
|
for section in sections.values():
|
|
section_name = section["name"]
|
|
if section_name not in interested_sections:
|
|
continue
|
|
for s in section["sources"]:
|
|
if archive != s["archive"]:
|
|
continue
|
|
s["sym_name"] = re.sub("(.text.|.literal.|.data.|.bss.|.rodata.)", "", s["sym_name"])
|
|
result[section_name][s["sym_name"]] = result[section_name].get(s["sym_name"], 0) + s["size"]
|
|
|
|
# build a new ordered dict of each section, where each entry is an ordereddict of symbols to sizes
|
|
section_symbols = collections.OrderedDict()
|
|
for t in interested_sections:
|
|
s = sorted(list(result[t].items()), key=lambda k_v: k_v[0])
|
|
# do a secondary sort in order to have consistent order (for diff-ing the output)
|
|
s = sorted(s, key=lambda k_v: k_v[1], reverse=True)
|
|
section_symbols[t] = collections.OrderedDict(s)
|
|
|
|
output = ""
|
|
if as_json:
|
|
output = format_json(section_symbols)
|
|
else:
|
|
output += "Symbols within the archive: {} (Not all symbols may be reported)\n".format(archive)
|
|
for t,s in section_symbols.items():
|
|
section_total = 0
|
|
output += "\nSymbols from section: {}\n".format(t)
|
|
for key, val in s.items():
|
|
output += "{}({}) ".format(key.replace(t + ".", ""), val)
|
|
section_total += val
|
|
output += "\nSection total: {}\n".format(section_total)
|
|
|
|
return output
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|