363 lines
14 KiB
Python
Executable file
363 lines
14 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 2017-2018 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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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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CHIP_SIZES = {
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"esp32": {
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"total_iram": 0x20000,
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"total_irom": 0x330000,
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"total_drom": 0x800000,
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# total dram is determined from objdump output
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}
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}
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def _json_dump(obj):
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""" Pretty-print JSON object to stdout """
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json.dump(obj, sys.stdout, indent=4)
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print('\n')
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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 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("idf_size - a tool to print IDF elf file sizes")
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parser.add_argument(
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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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args = parser.parse_args()
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memory_config, sections = load_map_data(args.map_file)
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if not args.json or not (args.archives or args.files or args.archive_details):
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print_summary(memory_config, sections, args.json)
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if args.archives:
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print_detailed_sizes(sections, "archive", "Archive File", args.json)
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if args.files:
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print_detailed_sizes(sections, "file", "Object File", args.json)
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if args.archive_details:
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print_archive_symbols(sections, args.archive_details, args.json)
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def print_summary(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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# if linker script changes, these need to change
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total_iram = memory_config["iram0_0_seg"]["length"]
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total_dram = memory_config["dram0_0_seg"]["length"]
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used_data = get_size(".dram0.data")
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used_bss = get_size(".dram0.bss")
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used_dram = used_data + used_bss
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try:
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used_dram_ratio = used_dram / total_dram
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except ZeroDivisionError:
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used_dram_ratio = float('nan')
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used_iram = sum(get_size(s) for s in sections if s.startswith(".iram0"))
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try:
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used_iram_ratio = used_iram / total_iram
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except ZeroDivisionError:
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used_iram_ratio = float('nan')
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flash_code = get_size(".flash.text")
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flash_rodata = get_size(".flash.rodata")
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total_size = used_data + used_iram + flash_code + flash_rodata
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if as_json:
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_json_dump(collections.OrderedDict([
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("dram_data", used_data),
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("dram_bss", used_bss),
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("used_dram", used_dram),
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("available_dram", total_dram - used_dram),
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("used_dram_ratio", used_dram_ratio),
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("used_iram", used_iram),
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("available_iram", total_iram - used_iram),
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("used_iram_ratio", used_iram_ratio),
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("flash_code", flash_code),
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("flash_rodata", flash_rodata),
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("total_size", total_size)
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]))
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else:
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print("Total sizes:")
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print(" DRAM .data size: %7d bytes" % used_data)
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print(" DRAM .bss size: %7d bytes" % used_bss)
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print("Used static DRAM: %7d bytes (%7d available, %.1f%% used)" %
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(used_dram, total_dram - used_dram, 100.0 * used_dram_ratio))
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print("Used static IRAM: %7d bytes (%7d available, %.1f%% used)" %
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(used_iram, total_iram - used_iram, 100.0 * used_iram_ratio))
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print(" Flash code: %7d bytes" % flash_code)
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print(" Flash rodata: %7d bytes" % flash_rodata)
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print("Total image size:~%7d bytes (.bin may be padded larger)" % (total_size))
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def print_detailed_sizes(sections, key, header, as_json=False):
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sizes = sizes_by_key(sections, key)
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result = {}
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for k in sizes:
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v = sizes[k]
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result[k] = collections.OrderedDict()
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result[k]["data"] = v.get(".dram0.data", 0)
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result[k]["bss"] = v.get(".dram0.bss", 0)
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result[k]["iram"] = sum(t for (s,t) in v.items() if s.startswith(".iram0"))
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result[k]["flash_text"] = v.get(".flash.text", 0)
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result[k]["flash_rodata"] = v.get(".flash.rodata", 0)
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result[k]["total"] = sum(result[k].values())
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def return_total_size(elem):
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val = elem[1]
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return val["total"]
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def return_header(elem):
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return elem[0]
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s = sorted(list(result.items()), key=return_header)
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# do a secondary sort in order to have consistent order (for diff-ing the output)
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s = sorted(s, key=return_total_size, reverse=True)
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if as_json:
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_json_dump(collections.OrderedDict(s))
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else:
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print("Per-%s contributions to ELF file:" % key)
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headings = (header,
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"DRAM .data",
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"& .bss",
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"IRAM",
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"Flash code",
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"& rodata",
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"Total")
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header_format = "%24s %10d %6d %6d %10d %8d %7d"
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print(header_format.replace("d", "s") % headings)
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for k,v in s:
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if ":" in k: # print subheadings for key of format archive:file
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sh,k = k.split(":")
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print(header_format % (k[:24],
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v["data"],
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v["bss"],
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v["iram"],
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v["flash_text"],
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v["flash_rodata"],
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v["total"]))
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def print_archive_symbols(sections, archive, as_json=False):
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interested_sections = [".dram0.data", ".dram0.bss", ".iram0.text", ".iram0.vectors", ".flash.text", ".flash.rodata"]
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result = {}
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for t in interested_sections:
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result[t] = {}
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for section in sections.values():
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section_name = section["name"]
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if section_name not in interested_sections:
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continue
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for s in section["sources"]:
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if archive != s["archive"]:
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continue
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s["sym_name"] = re.sub("(.text.|.literal.|.data.|.bss.|.rodata.)", "", s["sym_name"])
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result[section_name][s["sym_name"]] = result[section_name].get(s["sym_name"], 0) + s["size"]
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# build a new ordered dict of each section, where each entry is an ordereddict of symbols to sizes
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section_symbols = collections.OrderedDict()
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for t in interested_sections:
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s = sorted(list(result[t].items()), key=lambda k_v: k_v[0])
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# do a secondary sort in order to have consistent order (for diff-ing the output)
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s = sorted(s, key=lambda k_v: k_v[1], reverse=True)
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section_symbols[t] = collections.OrderedDict(s)
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if as_json:
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_json_dump(section_symbols)
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else:
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print("Symbols within the archive: %s (Not all symbols may be reported)" % (archive))
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for t,s in section_symbols.items():
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section_total = 0
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print("\nSymbols from section:", t)
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for key, val in s.items():
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print(("%s(%d)" % (key.replace(t + ".", ""), val)), end=' ')
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section_total += val
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print("\nSection total:",section_total)
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if __name__ == "__main__":
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main()
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