| #!/usr/bin/env python |
| |
| # This script uses the following Unicode tables: |
| # - DerivedCoreProperties.txt |
| # - DerivedNormalizationProps.txt |
| # - EastAsianWidth.txt |
| # - auxiliary/GraphemeBreakProperty.txt |
| # - PropList.txt |
| # - ReadMe.txt |
| # - Scripts.txt |
| # - UnicodeData.txt |
| # |
| # Since this should not require frequent updates, we just store this |
| # out-of-line and check the tables.rs file into git. |
| |
| import fileinput, re, os, sys, operator, math, datetime |
| |
| # The directory in which this file resides. |
| fdir = os.path.dirname(os.path.realpath(__file__)) + "/" |
| |
| preamble = ''' |
| // NOTE: The following code was generated by "./unicode.py", do not edit directly |
| |
| #![allow(missing_docs, non_upper_case_globals, non_snake_case)] |
| |
| use unicode::version::UnicodeVersion; |
| use unicode::bool_trie::{{BoolTrie, SmallBoolTrie}}; |
| '''.format(year = datetime.datetime.now().year) |
| |
| # Mapping taken from Table 12 from: |
| # http://www.unicode.org/reports/tr44/#General_Category_Values |
| expanded_categories = { |
| 'Lu': ['LC', 'L'], 'Ll': ['LC', 'L'], 'Lt': ['LC', 'L'], |
| 'Lm': ['L'], 'Lo': ['L'], |
| 'Mn': ['M'], 'Mc': ['M'], 'Me': ['M'], |
| 'Nd': ['N'], 'Nl': ['N'], 'No': ['N'], |
| 'Pc': ['P'], 'Pd': ['P'], 'Ps': ['P'], 'Pe': ['P'], |
| 'Pi': ['P'], 'Pf': ['P'], 'Po': ['P'], |
| 'Sm': ['S'], 'Sc': ['S'], 'Sk': ['S'], 'So': ['S'], |
| 'Zs': ['Z'], 'Zl': ['Z'], 'Zp': ['Z'], |
| 'Cc': ['C'], 'Cf': ['C'], 'Cs': ['C'], 'Co': ['C'], 'Cn': ['C'], |
| } |
| |
| # these are the surrogate codepoints, which are not valid rust characters |
| surrogate_codepoints = (0xd800, 0xdfff) |
| |
| def fetch(f): |
| path = fdir + os.path.basename(f) |
| if not os.path.exists(path): |
| os.system("curl -o {0}{1} ftp://ftp.unicode.org/Public/UNIDATA/{1}".format(fdir, f)) |
| |
| if not os.path.exists(path): |
| sys.stderr.write("cannot load %s" % f) |
| exit(1) |
| |
| def is_surrogate(n): |
| return surrogate_codepoints[0] <= n <= surrogate_codepoints[1] |
| |
| def load_unicode_data(f): |
| fetch(f) |
| gencats = {} |
| to_lower = {} |
| to_upper = {} |
| to_title = {} |
| combines = {} |
| canon_decomp = {} |
| compat_decomp = {} |
| |
| udict = {} |
| range_start = -1 |
| for line in fileinput.input(fdir + f): |
| data = line.split(';') |
| if len(data) != 15: |
| continue |
| cp = int(data[0], 16) |
| if is_surrogate(cp): |
| continue |
| if range_start >= 0: |
| for i in range(range_start, cp): |
| udict[i] = data |
| range_start = -1 |
| if data[1].endswith(", First>"): |
| range_start = cp |
| continue |
| udict[cp] = data |
| |
| for code in udict: |
| (code_org, name, gencat, combine, bidi, |
| decomp, deci, digit, num, mirror, |
| old, iso, upcase, lowcase, titlecase) = udict[code] |
| |
| # generate char to char direct common and simple conversions |
| # uppercase to lowercase |
| if lowcase != "" and code_org != lowcase: |
| to_lower[code] = (int(lowcase, 16), 0, 0) |
| |
| # lowercase to uppercase |
| if upcase != "" and code_org != upcase: |
| to_upper[code] = (int(upcase, 16), 0, 0) |
| |
| # title case |
| if titlecase.strip() != "" and code_org != titlecase: |
| to_title[code] = (int(titlecase, 16), 0, 0) |
| |
| # store decomposition, if given |
| if decomp != "": |
| if decomp.startswith('<'): |
| seq = [] |
| for i in decomp.split()[1:]: |
| seq.append(int(i, 16)) |
| compat_decomp[code] = seq |
| else: |
| seq = [] |
| for i in decomp.split(): |
| seq.append(int(i, 16)) |
| canon_decomp[code] = seq |
| |
| # place letter in categories as appropriate |
| for cat in [gencat, "Assigned"] + expanded_categories.get(gencat, []): |
| if cat not in gencats: |
| gencats[cat] = [] |
| gencats[cat].append(code) |
| |
| # record combining class, if any |
| if combine != "0": |
| if combine not in combines: |
| combines[combine] = [] |
| combines[combine].append(code) |
| |
| # generate Not_Assigned from Assigned |
| gencats["Cn"] = gen_unassigned(gencats["Assigned"]) |
| # Assigned is not a real category |
| del(gencats["Assigned"]) |
| # Other contains Not_Assigned |
| gencats["C"].extend(gencats["Cn"]) |
| gencats = group_cats(gencats) |
| combines = to_combines(group_cats(combines)) |
| |
| return (canon_decomp, compat_decomp, gencats, combines, to_upper, to_lower, to_title) |
| |
| def load_special_casing(f, to_upper, to_lower, to_title): |
| fetch(f) |
| for line in fileinput.input(fdir + f): |
| data = line.split('#')[0].split(';') |
| if len(data) == 5: |
| code, lower, title, upper, _comment = data |
| elif len(data) == 6: |
| code, lower, title, upper, condition, _comment = data |
| if condition.strip(): # Only keep unconditional mappins |
| continue |
| else: |
| continue |
| code = code.strip() |
| lower = lower.strip() |
| title = title.strip() |
| upper = upper.strip() |
| key = int(code, 16) |
| for (map_, values) in [(to_lower, lower), (to_upper, upper), (to_title, title)]: |
| if values != code: |
| values = [int(i, 16) for i in values.split()] |
| for _ in range(len(values), 3): |
| values.append(0) |
| assert len(values) == 3 |
| map_[key] = values |
| |
| def group_cats(cats): |
| cats_out = {} |
| for cat in cats: |
| cats_out[cat] = group_cat(cats[cat]) |
| return cats_out |
| |
| def group_cat(cat): |
| cat_out = [] |
| letters = sorted(set(cat)) |
| cur_start = letters.pop(0) |
| cur_end = cur_start |
| for letter in letters: |
| assert letter > cur_end, \ |
| "cur_end: %s, letter: %s" % (hex(cur_end), hex(letter)) |
| if letter == cur_end + 1: |
| cur_end = letter |
| else: |
| cat_out.append((cur_start, cur_end)) |
| cur_start = cur_end = letter |
| cat_out.append((cur_start, cur_end)) |
| return cat_out |
| |
| def ungroup_cat(cat): |
| cat_out = [] |
| for (lo, hi) in cat: |
| while lo <= hi: |
| cat_out.append(lo) |
| lo += 1 |
| return cat_out |
| |
| def gen_unassigned(assigned): |
| assigned = set(assigned) |
| return ([i for i in range(0, 0xd800) if i not in assigned] + |
| [i for i in range(0xe000, 0x110000) if i not in assigned]) |
| |
| def to_combines(combs): |
| combs_out = [] |
| for comb in combs: |
| for (lo, hi) in combs[comb]: |
| combs_out.append((lo, hi, comb)) |
| combs_out.sort(key=lambda comb: comb[0]) |
| return combs_out |
| |
| def format_table_content(f, content, indent): |
| line = " "*indent |
| first = True |
| for chunk in content.split(","): |
| if len(line) + len(chunk) < 98: |
| if first: |
| line += chunk |
| else: |
| line += ", " + chunk |
| first = False |
| else: |
| f.write(line + ",\n") |
| line = " "*indent + chunk |
| f.write(line) |
| |
| def load_properties(f, interestingprops): |
| fetch(f) |
| props = {} |
| re1 = re.compile("^ *([0-9A-F]+) *; *(\w+)") |
| re2 = re.compile("^ *([0-9A-F]+)\.\.([0-9A-F]+) *; *(\w+)") |
| |
| for line in fileinput.input(fdir + os.path.basename(f)): |
| prop = None |
| d_lo = 0 |
| d_hi = 0 |
| m = re1.match(line) |
| if m: |
| d_lo = m.group(1) |
| d_hi = m.group(1) |
| prop = m.group(2) |
| else: |
| m = re2.match(line) |
| if m: |
| d_lo = m.group(1) |
| d_hi = m.group(2) |
| prop = m.group(3) |
| else: |
| continue |
| if interestingprops and prop not in interestingprops: |
| continue |
| d_lo = int(d_lo, 16) |
| d_hi = int(d_hi, 16) |
| if prop not in props: |
| props[prop] = [] |
| props[prop].append((d_lo, d_hi)) |
| |
| # optimize if possible |
| for prop in props: |
| props[prop] = group_cat(ungroup_cat(props[prop])) |
| |
| return props |
| |
| def escape_char(c): |
| return "'\\u{%x}'" % c if c != 0 else "'\\0'" |
| |
| def emit_table(f, name, t_data, t_type = "&[(char, char)]", is_pub=True, |
| pfun=lambda x: "(%s,%s)" % (escape_char(x[0]), escape_char(x[1]))): |
| pub_string = "" |
| if is_pub: |
| pub_string = "pub " |
| f.write(" %sconst %s: %s = &[\n" % (pub_string, name, t_type)) |
| data = "" |
| first = True |
| for dat in t_data: |
| if not first: |
| data += "," |
| first = False |
| data += pfun(dat) |
| format_table_content(f, data, 8) |
| f.write("\n ];\n\n") |
| |
| def compute_trie(rawdata, chunksize): |
| root = [] |
| childmap = {} |
| child_data = [] |
| for i in range(len(rawdata) // chunksize): |
| data = rawdata[i * chunksize: (i + 1) * chunksize] |
| child = '|'.join(map(str, data)) |
| if child not in childmap: |
| childmap[child] = len(childmap) |
| child_data.extend(data) |
| root.append(childmap[child]) |
| return (root, child_data) |
| |
| def emit_bool_trie(f, name, t_data, is_pub=True): |
| CHUNK = 64 |
| rawdata = [False] * 0x110000 |
| for (lo, hi) in t_data: |
| for cp in range(lo, hi + 1): |
| rawdata[cp] = True |
| |
| # convert to bitmap chunks of 64 bits each |
| chunks = [] |
| for i in range(0x110000 // CHUNK): |
| chunk = 0 |
| for j in range(64): |
| if rawdata[i * 64 + j]: |
| chunk |= 1 << j |
| chunks.append(chunk) |
| |
| pub_string = "" |
| if is_pub: |
| pub_string = "pub " |
| f.write(" %sconst %s: &super::BoolTrie = &super::BoolTrie {\n" % (pub_string, name)) |
| f.write(" r1: [\n") |
| data = ','.join('0x%016x' % chunk for chunk in chunks[0:0x800 // CHUNK]) |
| format_table_content(f, data, 12) |
| f.write("\n ],\n") |
| |
| # 0x800..0x10000 trie |
| (r2, r3) = compute_trie(chunks[0x800 // CHUNK : 0x10000 // CHUNK], 64 // CHUNK) |
| f.write(" r2: [\n") |
| data = ','.join(str(node) for node in r2) |
| format_table_content(f, data, 12) |
| f.write("\n ],\n") |
| f.write(" r3: &[\n") |
| data = ','.join('0x%016x' % chunk for chunk in r3) |
| format_table_content(f, data, 12) |
| f.write("\n ],\n") |
| |
| # 0x10000..0x110000 trie |
| (mid, r6) = compute_trie(chunks[0x10000 // CHUNK : 0x110000 // CHUNK], 64 // CHUNK) |
| (r4, r5) = compute_trie(mid, 64) |
| f.write(" r4: [\n") |
| data = ','.join(str(node) for node in r4) |
| format_table_content(f, data, 12) |
| f.write("\n ],\n") |
| f.write(" r5: &[\n") |
| data = ','.join(str(node) for node in r5) |
| format_table_content(f, data, 12) |
| f.write("\n ],\n") |
| f.write(" r6: &[\n") |
| data = ','.join('0x%016x' % chunk for chunk in r6) |
| format_table_content(f, data, 12) |
| f.write("\n ],\n") |
| |
| f.write(" };\n\n") |
| |
| def emit_small_bool_trie(f, name, t_data, is_pub=True): |
| last_chunk = max(hi // 64 for (lo, hi) in t_data) |
| n_chunks = last_chunk + 1 |
| chunks = [0] * n_chunks |
| for (lo, hi) in t_data: |
| for cp in range(lo, hi + 1): |
| if cp // 64 >= len(chunks): |
| print(cp, cp // 64, len(chunks), lo, hi) |
| chunks[cp // 64] |= 1 << (cp & 63) |
| |
| pub_string = "" |
| if is_pub: |
| pub_string = "pub " |
| f.write(" %sconst %s: &super::SmallBoolTrie = &super::SmallBoolTrie {\n" |
| % (pub_string, name)) |
| |
| (r1, r2) = compute_trie(chunks, 1) |
| |
| f.write(" r1: &[\n") |
| data = ','.join(str(node) for node in r1) |
| format_table_content(f, data, 12) |
| f.write("\n ],\n") |
| |
| f.write(" r2: &[\n") |
| data = ','.join('0x%016x' % node for node in r2) |
| format_table_content(f, data, 12) |
| f.write("\n ],\n") |
| |
| f.write(" };\n\n") |
| |
| def emit_property_module(f, mod, tbl, emit): |
| f.write("pub mod %s {\n" % mod) |
| for cat in sorted(emit): |
| if cat in ["Cc", "White_Space", "Pattern_White_Space"]: |
| emit_small_bool_trie(f, "%s_table" % cat, tbl[cat]) |
| f.write(" pub fn %s(c: char) -> bool {\n" % cat) |
| f.write(" %s_table.lookup(c)\n" % cat) |
| f.write(" }\n\n") |
| else: |
| emit_bool_trie(f, "%s_table" % cat, tbl[cat]) |
| f.write(" pub fn %s(c: char) -> bool {\n" % cat) |
| f.write(" %s_table.lookup(c)\n" % cat) |
| f.write(" }\n\n") |
| f.write("}\n\n") |
| |
| def emit_conversions_module(f, to_upper, to_lower, to_title): |
| f.write("pub mod conversions {") |
| f.write(""" |
| pub fn to_lower(c: char) -> [char; 3] { |
| match bsearch_case_table(c, to_lowercase_table) { |
| None => [c, '\\0', '\\0'], |
| Some(index) => to_lowercase_table[index].1, |
| } |
| } |
| |
| pub fn to_upper(c: char) -> [char; 3] { |
| match bsearch_case_table(c, to_uppercase_table) { |
| None => [c, '\\0', '\\0'], |
| Some(index) => to_uppercase_table[index].1, |
| } |
| } |
| |
| fn bsearch_case_table(c: char, table: &[(char, [char; 3])]) -> Option<usize> { |
| table.binary_search_by(|&(key, _)| key.cmp(&c)).ok() |
| } |
| |
| """) |
| t_type = "&[(char, [char; 3])]" |
| pfun = lambda x: "(%s,[%s,%s,%s])" % ( |
| escape_char(x[0]), escape_char(x[1][0]), escape_char(x[1][1]), escape_char(x[1][2])) |
| emit_table(f, "to_lowercase_table", |
| sorted(to_lower.items(), key=operator.itemgetter(0)), |
| is_pub=False, t_type = t_type, pfun=pfun) |
| emit_table(f, "to_uppercase_table", |
| sorted(to_upper.items(), key=operator.itemgetter(0)), |
| is_pub=False, t_type = t_type, pfun=pfun) |
| f.write("}\n\n") |
| |
| def emit_norm_module(f, canon, compat, combine, norm_props): |
| canon_keys = sorted(canon.keys()) |
| |
| compat_keys = sorted(compat.keys()) |
| |
| canon_comp = {} |
| comp_exclusions = norm_props["Full_Composition_Exclusion"] |
| for char in canon_keys: |
| if any(lo <= char <= hi for lo, hi in comp_exclusions): |
| continue |
| decomp = canon[char] |
| if len(decomp) == 2: |
| if decomp[0] not in canon_comp: |
| canon_comp[decomp[0]] = [] |
| canon_comp[decomp[0]].append( (decomp[1], char) ) |
| canon_comp_keys = sorted(canon_comp.keys()) |
| |
| if __name__ == "__main__": |
| r = fdir + "tables.rs" |
| if os.path.exists(r): |
| os.remove(r) |
| with open(r, "w") as rf: |
| # write the file's preamble |
| rf.write(preamble) |
| |
| # download and parse all the data |
| fetch("ReadMe.txt") |
| with open(fdir + "ReadMe.txt") as readme: |
| pattern = "for Version (\d+)\.(\d+)\.(\d+) of the Unicode" |
| unicode_version = re.search(pattern, readme.read()).groups() |
| rf.write(""" |
| /// The version of [Unicode](http://www.unicode.org/) that the Unicode parts of |
| /// `char` and `str` methods are based on. |
| #[unstable(feature = "unicode_version", issue = "49726")] |
| pub const UNICODE_VERSION: UnicodeVersion = UnicodeVersion { |
| major: %s, |
| minor: %s, |
| micro: %s, |
| _priv: (), |
| }; |
| """ % unicode_version) |
| (canon_decomp, compat_decomp, gencats, combines, |
| to_upper, to_lower, to_title) = load_unicode_data("UnicodeData.txt") |
| load_special_casing("SpecialCasing.txt", to_upper, to_lower, to_title) |
| want_derived = ["XID_Start", "XID_Continue", "Alphabetic", "Lowercase", "Uppercase", |
| "Cased", "Case_Ignorable", "Grapheme_Extend"] |
| derived = load_properties("DerivedCoreProperties.txt", want_derived) |
| scripts = load_properties("Scripts.txt", []) |
| props = load_properties("PropList.txt", |
| ["White_Space", "Join_Control", "Noncharacter_Code_Point", "Pattern_White_Space"]) |
| norm_props = load_properties("DerivedNormalizationProps.txt", |
| ["Full_Composition_Exclusion"]) |
| |
| # category tables |
| for (name, cat, pfuns) in ("general_category", gencats, ["N", "Cc"]), \ |
| ("derived_property", derived, want_derived), \ |
| ("property", props, ["White_Space", "Pattern_White_Space"]): |
| emit_property_module(rf, name, cat, pfuns) |
| |
| # normalizations and conversions module |
| emit_norm_module(rf, canon_decomp, compat_decomp, combines, norm_props) |
| emit_conversions_module(rf, to_upper, to_lower, to_title) |
| print("Regenerated tables.rs.") |
