fd5ef009a4
This breaks the translation dependency to all of the other objects and therefore speeds up subsequent builds. Now, even when the big translate() function is inlined in the header, it only needs to be optimized once.
526 lines
17 KiB
Python
526 lines
17 KiB
Python
"""
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Process raw qstr file and output qstr data with length, hash and data bytes.
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This script works with Python 2.7, 3.3 and 3.4.
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For documentation about the format of compressed translated strings, see
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supervisor/shared/translate/translate.h
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"""
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from __future__ import print_function
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import bisect
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import re
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import sys
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import collections
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import gettext
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import os.path
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if hasattr(sys.stdout, "reconfigure"):
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sys.stdout.reconfigure(encoding="utf-8")
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sys.stderr.reconfigure(errors="backslashreplace")
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py = os.path.dirname(sys.argv[0])
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top = os.path.dirname(py)
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sys.path.append(os.path.join(top, "tools/huffman"))
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import huffman
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# Python 2/3 compatibility:
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# - iterating through bytes is different
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# - codepoint2name lives in a different module
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import platform
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if platform.python_version_tuple()[0] == "2":
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bytes_cons = lambda val, enc=None: bytearray(val)
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from htmlentitydefs import codepoint2name
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elif platform.python_version_tuple()[0] == "3":
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bytes_cons = bytes
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from html.entities import codepoint2name
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# end compatibility code
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codepoint2name[ord("-")] = "hyphen"
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# add some custom names to map characters that aren't in HTML
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codepoint2name[ord(" ")] = "space"
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codepoint2name[ord("'")] = "squot"
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codepoint2name[ord(",")] = "comma"
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codepoint2name[ord(".")] = "dot"
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codepoint2name[ord(":")] = "colon"
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codepoint2name[ord(";")] = "semicolon"
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codepoint2name[ord("/")] = "slash"
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codepoint2name[ord("%")] = "percent"
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codepoint2name[ord("#")] = "hash"
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codepoint2name[ord("(")] = "paren_open"
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codepoint2name[ord(")")] = "paren_close"
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codepoint2name[ord("[")] = "bracket_open"
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codepoint2name[ord("]")] = "bracket_close"
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codepoint2name[ord("{")] = "brace_open"
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codepoint2name[ord("}")] = "brace_close"
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codepoint2name[ord("*")] = "star"
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codepoint2name[ord("!")] = "bang"
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codepoint2name[ord("\\")] = "backslash"
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codepoint2name[ord("+")] = "plus"
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codepoint2name[ord("$")] = "dollar"
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codepoint2name[ord("=")] = "equals"
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codepoint2name[ord("?")] = "question"
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codepoint2name[ord("@")] = "at_sign"
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codepoint2name[ord("^")] = "caret"
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codepoint2name[ord("|")] = "pipe"
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codepoint2name[ord("~")] = "tilde"
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C_ESCAPES = {
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"\a": "\\a",
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"\b": "\\b",
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"\f": "\\f",
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"\n": "\\n",
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"\r": "\\r",
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"\t": "\\t",
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"\v": "\\v",
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"'": "\\'",
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'"': '\\"',
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}
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# this must match the equivalent function in qstr.c
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def compute_hash(qstr, bytes_hash):
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hash = 5381
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for b in qstr:
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hash = (hash * 33) ^ b
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# Make sure that valid hash is never zero, zero means "hash not computed"
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return (hash & ((1 << (8 * bytes_hash)) - 1)) or 1
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def translate(translation_file, i18ns):
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with open(translation_file, "rb") as f:
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table = gettext.GNUTranslations(f)
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translations = []
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for original in i18ns:
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unescaped = original
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for s in C_ESCAPES:
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unescaped = unescaped.replace(C_ESCAPES[s], s)
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translation = table.gettext(unescaped)
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# Add in carriage returns to work in terminals
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translation = translation.replace("\n", "\r\n")
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translations.append((original, translation))
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return translations
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class TextSplitter:
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def __init__(self, words):
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words = sorted(words, key=lambda x: len(x), reverse=True)
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self.words = set(words)
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if words:
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pat = "|".join(re.escape(w) for w in words) + "|."
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else:
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pat = "."
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self.pat = re.compile(pat, flags=re.DOTALL)
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def iter_words(self, text):
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s = []
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words = self.words
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for m in self.pat.finditer(text):
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t = m.group(0)
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if t in words:
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if s:
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yield (False, "".join(s))
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s = []
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yield (True, t)
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else:
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s.append(t)
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if s:
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yield (False, "".join(s))
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def iter(self, text):
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for m in self.pat.finditer(text):
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yield m.group(0)
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def iter_substrings(s, minlen, maxlen):
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len_s = len(s)
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maxlen = min(len_s, maxlen)
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for n in range(minlen, maxlen + 1):
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for begin in range(0, len_s - n + 1):
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yield s[begin : begin + n]
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def compute_huffman_coding(translations, f):
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texts = [t[1] for t in translations]
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words = []
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start_unused = 0x80
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end_unused = 0xFF
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max_ord = 0
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for text in texts:
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for c in text:
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ord_c = ord(c)
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max_ord = max(ord_c, max_ord)
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if 0x80 <= ord_c < 0xFF:
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end_unused = min(ord_c, end_unused)
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max_words = end_unused - 0x80
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bits_per_codepoint = 16 if max_ord > 255 else 8
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values_type = "uint16_t" if max_ord > 255 else "uint8_t"
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while len(words) < max_words:
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# Until the dictionary is filled to capacity, use a heuristic to find
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# the best "word" (2- to 11-gram) to add to it.
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#
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# The TextSplitter allows us to avoid considering parts of the text
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# that are already covered by a previously chosen word, for example
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# if "the" is in words then not only will "the" not be considered
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# again, neither will "there" or "wither", since they have "the"
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# as substrings.
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extractor = TextSplitter(words)
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counter = collections.Counter()
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for t in texts:
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for atom in extractor.iter(t):
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counter[atom] += 1
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cb = huffman.codebook(counter.items())
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lengths = sorted(dict((v, len(cb[k])) for k, v in counter.items()).items())
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def bit_length(s):
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return sum(len(cb[c]) for c in s)
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def est_len(occ):
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idx = bisect.bisect_left(lengths, (occ, 0))
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return lengths[idx][1] + 1
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# The cost of adding a dictionary word is just its storage size
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# while its savings is close to the difference between the original
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# huffman bit-length of the string and the estimated bit-length
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# of the dictionary word, times the number of times the word appears.
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#
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# The savings is not strictly accurate because including a word into
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# the Huffman tree bumps up the encoding lengths of all words in the
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# same subtree. In the extreme case when the new word is so frequent
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# that it gets a one-bit encoding, all other words will cost an extra
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# bit each. This is empirically modeled by the constant factor added to
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# cost, but the specific value used isn't "proven" to be correct.
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#
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# Another source of inaccuracy is that compressed strings end up
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# on byte boundaries, not bit boundaries, so saving 1 bit somewhere
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# might not save a byte.
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#
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# In fact, when this change was first made, some translations (luckily,
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# ones on boards not at all close to full) wasted up to 40 bytes,
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# while the most constrained boards typically gained 100 bytes or
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# more.
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#
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# The difference between the two is the estimated net savings, in bits.
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def est_net_savings(s, occ):
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savings = occ * (bit_length(s) - est_len(occ))
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cost = len(s) * bits_per_codepoint + 24
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return savings - cost
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counter = collections.Counter()
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for t in texts:
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for (found, word) in extractor.iter_words(t):
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if not found:
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for substr in iter_substrings(word, minlen=2, maxlen=11):
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counter[substr] += 1
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# Score the candidates we found. This is a semi-empirical formula that
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# attempts to model the number of bits saved as closely as possible.
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#
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# It attempts to compute the codeword lengths of the original word
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# to the codeword length the dictionary entry would get, times
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# the number of occurrences, less the ovehead of the entries in the
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# words[] array.
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scores = sorted(
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((s, -est_net_savings(s, occ)) for (s, occ) in counter.items()), key=lambda x: x[1]
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)
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# Pick the one with the highest score. The score must be negative.
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if not scores or scores[0][-1] >= 0:
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break
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word = scores[0][0]
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words.append(word)
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words.sort(key=len)
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extractor = TextSplitter(words)
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counter = collections.Counter()
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for t in texts:
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for atom in extractor.iter(t):
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counter[atom] += 1
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cb = huffman.codebook(counter.items())
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word_start = start_unused
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word_end = word_start + len(words) - 1
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f.write(f"// # words {len(words)}\n")
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f.write(f"// words {words}\n")
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values = []
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length_count = {}
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renumbered = 0
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last_length = None
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canonical = {}
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for atom, code in sorted(cb.items(), key=lambda x: (len(x[1]), x[0])):
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values.append(atom)
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length = len(code)
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if length not in length_count:
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length_count[length] = 0
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length_count[length] += 1
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if last_length:
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renumbered <<= length - last_length
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canonical[atom] = "{0:0{width}b}".format(renumbered, width=length)
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# print(f"atom={repr(atom)} code={code}", file=sys.stderr)
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if len(atom) > 1:
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o = words.index(atom) + 0x80
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s = "".join(C_ESCAPES.get(ch1, ch1) for ch1 in atom)
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else:
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s = C_ESCAPES.get(atom, atom)
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o = ord(atom)
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f.write(f"// {o} {s} {counter[atom]} {canonical[atom]} {renumbered}\n")
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renumbered += 1
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last_length = length
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lengths = bytearray()
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f.write(f"// length count {length_count}\n")
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for i in range(1, max(length_count) + 2):
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lengths.append(length_count.get(i, 0))
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f.write(f"// values {values} lengths {len(lengths)} {lengths}\n")
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f.write(f"// {values} {lengths}\n")
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values = [(atom if len(atom) == 1 else chr(0x80 + words.index(atom))) for atom in values]
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max_translation_encoded_length = max(
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len(translation.encode("utf-8")) for (original, translation) in translations
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)
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maxlen = len(words[-1])
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minlen = len(words[0])
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wlencount = [len([None for w in words if len(w) == l]) for l in range(minlen, maxlen + 1)]
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f.write("typedef {} mchar_t;\n".format(values_type))
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f.write("const uint8_t lengths[] = {{ {} }};\n".format(", ".join(map(str, lengths))))
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f.write("const mchar_t values[] = {{ {} }};\n".format(", ".join(str(ord(u)) for u in values)))
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f.write(
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"#define compress_max_length_bits ({})\n".format(
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max_translation_encoded_length.bit_length()
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)
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)
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f.write(
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"const mchar_t words[] = {{ {} }};\n".format(
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", ".join(str(ord(c)) for w in words for c in w)
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)
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)
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f.write("const uint8_t wlencount[] = {{ {} }};\n".format(", ".join(str(p) for p in wlencount)))
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f.write("#define word_start {}\n".format(word_start))
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f.write("#define word_end {}\n".format(word_end))
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f.write("#define minlen {}\n".format(minlen))
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f.write("#define maxlen {}\n".format(maxlen))
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return (values, lengths, words, canonical, extractor)
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def decompress(encoding_table, encoded, encoded_length_bits):
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(values, lengths, words, _, _) = encoding_table
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dec = []
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this_byte = 0
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this_bit = 7
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b = encoded[this_byte]
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bits = 0
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for i in range(encoded_length_bits):
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bits <<= 1
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if 0x80 & b:
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bits |= 1
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b <<= 1
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if this_bit == 0:
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this_bit = 7
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this_byte += 1
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if this_byte < len(encoded):
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b = encoded[this_byte]
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else:
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this_bit -= 1
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length = bits
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i = 0
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while i < length:
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bits = 0
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bit_length = 0
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max_code = lengths[0]
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searched_length = lengths[0]
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while True:
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bits <<= 1
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if 0x80 & b:
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bits |= 1
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b <<= 1
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bit_length += 1
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if this_bit == 0:
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this_bit = 7
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this_byte += 1
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if this_byte < len(encoded):
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b = encoded[this_byte]
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else:
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this_bit -= 1
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if max_code > 0 and bits < max_code:
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# print('{0:0{width}b}'.format(bits, width=bit_length))
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break
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max_code = (max_code << 1) + lengths[bit_length]
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searched_length += lengths[bit_length]
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v = values[searched_length + bits - max_code]
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if v >= chr(0x80) and v < chr(0x80 + len(words)):
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v = words[ord(v) - 0x80]
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i += len(v.encode("utf-8"))
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dec.append(v)
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return "".join(dec)
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def compress(encoding_table, decompressed, encoded_length_bits, len_translation_encoded):
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if not isinstance(decompressed, str):
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raise TypeError()
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(_, _, _, canonical, extractor) = encoding_table
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enc = bytearray(len(decompressed) * 3)
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current_bit = 7
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current_byte = 0
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bits = encoded_length_bits + 1
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for i in range(bits - 1, 0, -1):
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if len_translation_encoded & (1 << (i - 1)):
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enc[current_byte] |= 1 << current_bit
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if current_bit == 0:
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current_bit = 7
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current_byte += 1
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else:
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current_bit -= 1
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for atom in extractor.iter(decompressed):
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for b in canonical[atom]:
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if b == "1":
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enc[current_byte] |= 1 << current_bit
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if current_bit == 0:
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current_bit = 7
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current_byte += 1
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else:
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current_bit -= 1
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if current_bit != 7:
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current_byte += 1
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return enc[:current_byte]
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def qstr_escape(qst):
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def esc_char(m):
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c = ord(m.group(0))
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try:
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name = codepoint2name[c]
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except KeyError:
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name = "0x%02x" % c
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return "_" + name + "_"
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return re.sub(r"[^A-Za-z0-9_]", esc_char, qst)
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def parse_input_headers(infiles):
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i18ns = set()
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# read the qstrs in from the input files
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for infile in infiles:
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with open(infile, "rt") as f:
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for line in f:
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line = line.strip()
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match = re.match(r'^TRANSLATE\("(.*)"\)$', line)
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if match:
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i18ns.add(match.group(1))
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continue
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return i18ns
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def escape_bytes(qstr):
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if all(32 <= ord(c) <= 126 and c != "\\" and c != '"' for c in qstr):
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# qstr is all printable ASCII so render it as-is (for easier debugging)
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return qstr
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else:
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# qstr contains non-printable codes so render entire thing as hex pairs
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qbytes = bytes_cons(qstr, "utf8")
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return "".join(("\\x%02x" % b) for b in qbytes)
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def make_bytes(cfg_bytes_len, cfg_bytes_hash, qstr):
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qbytes = bytes_cons(qstr, "utf8")
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qlen = len(qbytes)
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qhash = compute_hash(qbytes, cfg_bytes_hash)
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if qlen >= (1 << (8 * cfg_bytes_len)):
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print("qstr is too long:", qstr)
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assert False
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qdata = escape_bytes(qstr)
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return '%d, %d, "%s"' % (qhash, qlen, qdata)
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def output_translation_data(encoding_table, i18ns, out):
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# print out the starter of the generated C file
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out.write("// This file was automatically generated by maketranslatedata.py\n")
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out.write('#include "supervisor/shared/translate/compressed_string.h"\n')
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out.write("\n")
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total_text_size = 0
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total_text_compressed_size = 0
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max_translation_encoded_length = max(
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len(translation.encode("utf-8")) for original, translation in i18ns
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)
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encoded_length_bits = max_translation_encoded_length.bit_length()
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for i, translation in enumerate(i18ns):
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original, translation = translation
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translation_encoded = translation.encode("utf-8")
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compressed = compress(
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encoding_table, translation, encoded_length_bits, len(translation_encoded)
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)
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total_text_compressed_size += len(compressed)
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decompressed = decompress(encoding_table, compressed, encoded_length_bits)
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assert decompressed == translation
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for c in C_ESCAPES:
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decompressed = decompressed.replace(c, C_ESCAPES[c])
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formatted = ["{:d}".format(x) for x in compressed]
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out.write(
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"const compressed_string_t translation{} = {{ .data = {}, .tail = {{ {} }} }}; // {}\n".format(
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i, formatted[0], ", ".join(formatted[1:]), original, decompressed
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)
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)
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total_text_size += len(translation.encode("utf-8"))
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out.write("\n")
|
|
out.write("// {} bytes worth of translations\n".format(total_text_size))
|
|
out.write("// {} bytes worth of translations compressed\n".format(total_text_compressed_size))
|
|
out.write("// {} bytes saved\n".format(total_text_size - total_text_compressed_size))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import argparse
|
|
|
|
parser = argparse.ArgumentParser(
|
|
description="Process QSTR definitions into headers for compilation"
|
|
)
|
|
parser.add_argument(
|
|
"infiles", metavar="N", type=str, nargs="+", help="an integer for the accumulator"
|
|
)
|
|
parser.add_argument(
|
|
"--translation", default=None, type=str, help="translations for i18n() items"
|
|
)
|
|
parser.add_argument(
|
|
"--compression_filename",
|
|
type=argparse.FileType("w", encoding="UTF-8"),
|
|
help="header for compression info",
|
|
)
|
|
parser.add_argument(
|
|
"--translation_filename",
|
|
type=argparse.FileType("w", encoding="UTF-8"),
|
|
help="c file for translation data",
|
|
)
|
|
|
|
args = parser.parse_args()
|
|
|
|
i18ns = parse_input_headers(args.infiles)
|
|
i18ns = sorted(i18ns)
|
|
translations = translate(args.translation, i18ns)
|
|
encoding_table = compute_huffman_coding(translations, args.compression_filename)
|
|
output_translation_data(encoding_table, translations, args.translation_filename)
|